<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.54887.3</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Evaluation of clinical, histology, TNF-&#x03b1;, and collagen expressions on oral ulcer in rats after treatment with areca nut and chrysanthemum oral gel</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 3; peer review: 1 approved, 2 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Meutia Sari</surname>
                        <given-names>Liza</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5038-9913</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mubarak</surname>
                        <given-names>Zaki</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Keumala Sari</surname>
                        <given-names>Dina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1442-5304</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Oral Medicine, Syiah Kuala University, Banda Aceh, Indonesia, 23111, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Oral Microbiology, Syiah Kuala University, Banda Aceh, Indonesia, 23111, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Nutrition, Sumatera Utara University, Medan, Indonesia, 20155, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:lizameutiasari@gmail.com">lizameutiasari@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>5</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2021</year>
            </pub-date>
            <volume>10</volume>
            <elocation-id>623</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>17</day>
                    <month>5</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Meutia Sari L et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/10-623/pdf"/>
            <abstract>
                <p>
                    <bold>Background: </bold>Areca nut (
                    <italic toggle="yes">Areca catechu</italic> Linn.) is the seed of the fruit of the oriental palm that is commonly used among Southeast Asian communities. Chrysanthemum (
                    <italic toggle="yes">Dendrathema grandiflora</italic>) is a flowering plant originating from East Asia and dominantly grows in China. Both of these plants have strong antioxidant activities. To investigate the mechanism of their wound healing activities, we prepared areca nut and chrysanthemum polyethylene oral gel and performed several 
                    <italic toggle="yes">in vivo</italic> assays using Sprague&#x2013;Dawley rats.</p>
                <p>
                    <bold>Methods: </bold>Sprague&#x2013;Dawley rats were divided into five groups: Negative control group (rats with base gel treatment), positive control group (rats treated with triamcinolone acetonide), F1 (treatment with 20% areca nut:80% chrysanthemum), F2 (treatment with 50% areca nut:50% chrysanthemum), and F3 (treatment with 80% areca nut:20% chrysanthemum). Traumatic ulcers were performed on the buccal mucosa of all experimental animals that received topical oral gel and triamcinolone acetonide twice a day for seven days. The clinical and histological characteristics were analyzed and scored.</p>
                <p>
                    <bold>Results:</bold> During the six days, the ulcerated area receded linearly over time and was completely cicatrized in F2, F3, and positive control group (Dependent t-test, p&lt;0.05). There were significant increases in body weight in F2 and positive control groups. There were no significant differences between groups in histology examination (Kruskal Wallis test, p&lt;0.05). The moderate score of TNF-&#x03b1; levels was seen in F2 and positive control groups (ANOVA/Tukey test, p&lt;0.05). In the collagenase assay, high concentration of areca nut (F3) induced the abundant of collagen during the ulcer healing process.</p>
                <p>
                    <bold>Conclusions: </bold>A combination of areca nut and chrysanthemum extract in the oral gel can optimize the healing of traumatic oral ulcers in Sprague-Dawley rats through the increase of TNF-&#x03b1; and collagen deposition.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Oral ulcer</kwd>
                <kwd>Areca nut</kwd>
                <kwd>Chrysanthemum</kwd>
                <kwd>TNF-&#x03b1;</kwd>
                <kwd>Collagen</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>PNBP Fund, Syiah Kuala University</funding-source>
                    <award-id>319/UN11.2.1/PT.01.03/PNBP/2021</award-id>
                </award-group>
                <funding-statement>The study was supported by grant from the PNBP fund Syiah Kuala University No 319/UN11.2.1/PT.01.03/PNBP/2021. </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 2</title>
                <p>In the new version, we have added a single paragraph in the "Discussion" section. This paragraph explains the role of applying gel extracts from herbal ingredients even though wounds on the oral mucosa of the rats can actually heal on their own even without treatment. This explanation shows that herbal extracts play a role in accelerating the wound healing process.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Oral ulceration is the most common presentation in the oral cavity caused by many etiologic factors.
                <xref ref-type="bibr" rid="ref1">
                    <sup>1</sup>
                </xref> Most of the etiologies of ulcerative lesions on the oral mucosa are divided into four categories; namely, infectious (bacterial and virus infection), immune-related (autoimmune and allergic), traumatic (mechanical trauma), and neoplastic (oral squamous cell carcinoma).
                <xref ref-type="bibr" rid="ref2">
                    <sup>2</sup>
                </xref> Traumatic ulcers are injuries to the oral mucosa caused by mechanical or physical trauma such as sharp food, accidental biting during mastication, biting while speaking, punctured by sharp objects, fractured, malformed, carious, or malposed teeth on the superficial epithelial layer or underlying connective tissue or may involve both.
                <xref ref-type="bibr" rid="ref3">
                    <sup>3</sup>
                </xref>
            </p>
            <p>Currently, increasing the resolution of wound healing is one of the main priorities in the medical field to accelerate the healing of chronic wounds and traumatic injuries.
                <xref ref-type="bibr" rid="ref4">
                    <sup>4</sup>
                </xref> The process of tissue regeneration and repair occurs immediately after lesion onset. The linear tissue repair and regeneration involves growth factors that induce cell proliferation, especially parenchymal cells, followed by dynamic changes in soluble mediators, blood cells, and the extracellular matrix.
                <xref ref-type="bibr" rid="ref5">
                    <sup>5</sup>
                </xref> The unique oral cavity environment shows advantages in accelerating wound healing compared with skin repair. This is due to differences in the response to inflammation, differentiation and proliferative programs, modulation of stem cells, collagen synthesis, the role of macrophages, and epithelial remodeling.
                <xref ref-type="bibr" rid="ref6">
                    <sup>6</sup>
                </xref>
                <sup>,</sup>
                <xref ref-type="bibr" rid="ref7">
                    <sup>7</sup>
                </xref> Collagen synthesis and tumor necrosis factor-&#x03b1; (TNF-&#x03b1;) are important components during acute inflammation and responsible for a diverse range of signaling events within cells in the wound-healing process. TNF-&#x03b1; is one of inflammatory cytokine and regulates the immune system.
                <xref ref-type="bibr" rid="ref8">
                    <sup>8</sup>
                </xref>
            </p>
            <p>Areca nut is the seed of the areca palm (
                <italic toggle="yes">Areca catechu</italic> Linn.; 
                <italic toggle="yes">areca, Palmaceae</italic>), which grows thrive in tropical Pacific region, South and South East Asia, including Indonesia where it is known as &#x201c;
                <italic toggle="yes">Pinang</italic>&#x201d;. It has been consumed by people worldwide as part of ancient tradition, custom, or ritual for a long time. Several studies have been conducted to prove the healing ability of areca nut, including that the alkaloid and polyphenols content in areca nut could enhance the healing of burn wounds, leg ulcers, and skin graft surgery.
                <xref ref-type="bibr" rid="ref9">
                    <sup>9</sup>
                </xref>
                <sup>,</sup>
                <xref ref-type="bibr" rid="ref10">
                    <sup>10</sup>
                </xref> Areca nut contains alkaloid, phenolic, tannin, and flavonoid compounds. The presence of catechin, quercetin, and jacareubin contributed antioxidant and cytotoxic activities of areca nut extract.
                <xref ref-type="bibr" rid="ref1">
                    <sup>1</sup>
                </xref> Our previous study showed that areca nut extract had cytotoxic activity againts human oral cancer cell lines such as HSC-2 and HSC-3 with IC
                <sub>50</sub> values of 629.50 and 164.06 &#x03bc;g/mL, respectively.
                <xref ref-type="bibr" rid="ref2">
                    <sup>2</sup>
                </xref> The selectivity of the areca nut extract was verified by using normal cell line. Areca nut had no cytotoxic effect on human keratinocyte (HaCaT) cell line. Instead, it induced high rate of proliferation in HaCaT cells. Chrysanthemum or chrysanth (
                <italic toggle="yes">Dendrathema grandiflora; Asteracea</italic>) is a flowering plant originating from East Asia and dominantly grows in China. The flowers are generally consumed in herbal teas and as a supplement. This genus comprises 40 species and contains flavonoids (flavanone), terpenoids, anthocyanins, and steroids.
                <xref ref-type="bibr" rid="ref3">
                    <sup>3</sup>
                </xref>
                <sup>,</sup>
                <xref ref-type="bibr" rid="ref4">
                    <sup>4</sup>
                </xref> The selectivity index of 
                <italic toggle="yes">Chrysanthemum indicum</italic> and 
                <italic toggle="yes">morifilium</italic> oils were calculated 1.8 and 1.5, respectively, indicating low selectivity against trypanosomes compared to their toxicity versus HL-60 cells.
                <xref ref-type="bibr" rid="ref5">
                    <sup>5</sup>
                </xref> Previous studies reported the effect of increasing keratinocyte proliferation and skin regeneration derived from 
                <italic toggle="yes">Chrysanthemum boreale.</italic>
                <xref ref-type="bibr" rid="ref11">
                    <sup>11</sup>
                </xref> Chrysanthemums are usually used for treating allergies, anxiety, hypertension, inflammation, headache, cold, sore throat, and tinnitus by certain communities.
                <xref ref-type="bibr" rid="ref12">
                    <sup>12</sup>
                </xref>
            </p>
            <p>However, scientific research has not been conducted related to the healing process on the oral mucosa by oral application of these herbal plants. This study aimed to evaluate the potential of the combination of areca nut and chrysanthemum oral gel on oral mucosa using the Sprague&#x2013;Dawley rat model.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethical approval</title>
                <p>This study was approved by the Ethics Committee for Animal Research of Tropical Biopharmaceutical Research Center (Trop BRC), Bogor Agricultural University, West Java, Indonesia, with number 042-2020-KEH TROP BRC.</p>
            </sec>
            <sec id="sec4">
                <title>Extract preparation</title>
                <p>Areca nuts were obtained from the 
                    <italic toggle="yes">Pinang</italic> plant from Aceh Besar, Indonesia, which was documented and determined by the Botanical Division of Biological Research Center LIPI Cibinong, complete with its roots, stems, leaves, flowers, and seeds in 2017. 2 kg of areca nuts (gross weight) were cleansed of dirt and dried in the open air and sunlight. Further drying was done using an oven set at a temperature of 50&#x00b0;C. The nuts were crushed using a blender and then strained with a 20-mesh sieve. The maceration process was conducted using 96% ethanol diluent solvent for 7 days before being subsequently filtered and evaporated using a vacuum rotary evaporator at 30&#x2013;40&#x00b0;C and then reconcentrated using a water bath until a solid dry powder extract was obtained. Chrysanthemum polyethylene (P.E.) (Product No. 1237X17911) was provided by Javaplant Company, Indonesia.</p>
            </sec>
            <sec id="sec5">
                <title>Preparation of areca nut and chrysanthemum extract oral gel</title>
                <p>The composition of the optimum formula was determined from 3 concentrations of carboxymethyl cellulose-Natrium (CMC-Na), followed by an evaluation of the physical stability study. The formula included in the criteria parameters is selected as the optimum formula. The compositions of the formula are shown in 
                    <xref ref-type="table" rid="T1">Table 1</xref>. The gels were made by dissolving areca nut and chrysanthemum extract with distilled water and then heated at a temperature of 50&#x00b0;C. The CMC-Na was heated with the remaining distilled water on a magnetic stirrer with a stirring speed of 400 rpm at a temperature of 70&#x00b0;C. Methylparaben was added until dissolved. Propylene glycol and glycerin were mixed and then added to the mixture of CMC-Na and methylparaben. The liquefied extract was added to the mixture and stirred continuously until a gel was formed.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>The compositions of areca nut and chrysanthemum oral gel formula.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Ingredient</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Concentration (%)</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Function</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">F I</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F II</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F III</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Areca nut extract</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Active substance</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Chrysanthemum extract</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Active substance</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CMC-Na</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gelling agent</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#202124" style-type="color">Propylene glycol</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Humectant</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#202124" style-type="color">Glycerin</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Humectant</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#202124" style-type="color">Methylparaben</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Preservative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <styled-content style="#202124" style-type="color">Distilled water ad</styled-content>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Solvent</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Formulation I: 3% CMC-Na, Formulation II: 4% CMC-Na, Formulation III: 5% CMC-Na.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec6">
                <title>Optimization of areca nut and chrysanthemum oral gel formula</title>
                <p>The prepared formulations were placed in an incubator at a temperature of 40&#x00b0;C for 4 weeks. After that period time, all formulations were placed in an incubator at 5&#x00b0;C for optimum formulation selection. The final results are shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref>. Formulation F III was found to be the most stable after the preliminary study. This optimum formula was used for the next assays.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Characteristics of areca nut and chrysanthemum oral gel formula.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="bottom">Evaluation</th>
                                <th align="left" colspan="1" rowspan="2" valign="bottom">Criteria parameter</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Characteristics</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">F I</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F II</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F III</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Inhomogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Consistency</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Soft viscous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Liquid</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Liquid</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Soft viscous
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">pH</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5-6.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.72 &#x00b1; 0.02
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.88 &#x00b1; 0.15
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.02 &#x00b1; 0.07
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Spreadability (cm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5-7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.05 &#x00b1; 0.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.02 &#x00b1; 0.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.5 &#x00b1; 0.34
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Formulation I: 3% CMC-Na, Formulation II: 4% CMC-Na, Formulation III: 5% CMC-Na.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>In accordance with the parameters.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec7">
                <title>Physical stability study</title>
                <p>The optimum formula of the areca nut and chrysanthemum P. E oral gel (F III) was evaluated for thermal stability by observing color, shape, odor, taste, homogeneity, pH, spreadability, and viscosity during storage with a constant relative humidity (RH) of 75 &#x00b1; 5% and maintained at 40 &#x00b1; 2&#x00b0;C, without direct light. The samples were analyzed at the initial time (t
                    <sub>0</sub>) and 2, 4, 6, and 8 weeks after exposure to the atmospheric conditions. 
                    <bold>The homogeneity test</bold> was carried out by visual inspection after the gels have been set in the container.
                    <xref ref-type="bibr" rid="ref6">
                        <sup>6</sup>
                    </xref> They were tested for their appearance and presence of any aggregates. 
                    <bold>The pH test</bold> is carried out to observe the acidity level of the gel preparation to ensure that the oral gel does not irritate the skin. The pH criteria of oral gel are in the interval 4.5-6.5.
                    <xref ref-type="bibr" rid="ref7">
                        <sup>7</sup>
                    </xref> 
                    <bold>The spreadability test</bold> was carried out to ensure the even distribution of the gel when applied to the skin.
                    <xref ref-type="bibr" rid="ref8">
                        <sup>8</sup>
                    </xref> The gel was weighed as much as 0.5 grams and then placed in the middle of a round glass scale. On top of the gel is placed another round glass and ballast so that the weight of the round glass and ballast is 150 grams, allowed to stand for 1 minute, then the diameter of the distribution is analyzed. The good spreadability is between 5-7 cm. 
                    <bold>The viscosity test</bold> was analyzed by putting the gels in the Brookfield Viscometer and was rotated at 50 rpm using spindle no. 64. The corresponding dial reading was noted.
                    <xref ref-type="bibr" rid="ref6">
                        <sup>6</sup>
                    </xref>
                </p>
            </sec>
            <sec id="sec8">
                <title>Formulation of areca nut and chrysanthemum extract oral gel</title>
                <p>The extract was formulated into four gel dosage forms with various concentrations of the extract combination, namely F1 (20% of areca nut:80% of chrysanthemum), F2 (50% of areca nut:50% of chrysanthemum), F3 (80% of areca nut:20% of chrysanthemum), and base gel (gel without areca nut and chrysanthemum). Preparation of the extract oral gel began with making two mixtures. The first mixture consisted of a carbamoyl and extract combination of areca nut and chrysanthemum and mixed with 10 mL of water at 70&#x00b0;C. The second mixture consisted of methylparaben dissolved in a little water and then mixed with a mixture of glycerin and propylene glycol. This mixture was then combined and stirred with water so that it is mixed homogeneously.</p>
            </sec>
            <sec id="sec9">
                <title>Experimental animals</title>
                <p>A total of 25 adult male Sprague&#x2013;Dawley rats weighing 200&#x2013;240 g were provided by the animal laboratory at Tropical Biopharmaceutical Research Center (Trop BRC), Bogor Agricultural University. The rats were kept for adaptation at 25&#x00b0;C in the well-ventilated laboratory for 14 days under a 12/12 h light/dark cycle and fed with a standard pellet diet and tap water 
                    <italic toggle="yes">ad libitum</italic> before being entered into the experiment. All the animals were given an initial examination for systemic health conditions and stored in boxes with sawdust.</p>
            </sec>
            <sec id="sec10">
                <title>Experimental protocol to induce the ulcers</title>
                <p>Ulcer induction was performed after the animals were anesthetized by intraperitoneal injection of 33 mg/kg of ketamine and 13 mg/kg of xylazine (2%). The left buccal mucosa was smeared with 10% povidone&#x2013;iodine on cotton pellets. An abrasion was made with 5 mm diameter, 1 mm depth, and was limited to the mucosa without muscular involvement. The ulceration was performed by using a number 15 scalpel blade. The standardization area was marked with an 8-mm diameter demarcator. The surgical and technique was standardized for animals and performed by the same operator.
                    <xref ref-type="bibr" rid="ref13">
                        <sup>13</sup>
                    </xref> The ulceration was not performed in the normal group. The formation of the ulcers could be observed after 24 hours.</p>
            </sec>
            <sec id="sec11">
                <title>Groups and treatment</title>
                <p>The animals were randomly divided into five groups with 12 animals each: negative control group (rats with base gel treatment), positive control group (rats treated with triamcinolone acetonide), F1 (treatment with 20% areca nut:80% chrysanthemum), F2 (treatment with 50% areca nut:50% chrysanthemum), and F3 (treatment with 80% areca nut:20% chrysanthemum). A normal group (without ulcer and treatment) was added for the microscopic evaluation. All the groups were treated every 12 hours for seven days with topical application. The application of the oral gel was performed by using the individual sterile and disposable dental micro brush (SDent, USA). Each group was sacrificed gradually through the end of the seventh-day study period. After the animals were sacrificed, a section of buccal mucosa containing the ulcer of each rat was collected. Histopathology, immunohistochemistry, and collagenases evaluation were analyzed in Primate Research Center, Bogor Agricultural University, Indonesia.</p>
            </sec>
            <sec id="sec12">
                <title>Clinical evaluation</title>
                <p>The animal body weights and diameter of the ulcers were measured before and after treatment on the second and seventh days. The diameter of the ulcers were measured with the naked eyes using a digital stainless vernier caliper which is capable of measuring diameter in 0.05 mm increments.
                    <xref ref-type="bibr" rid="ref14">
                        <sup>14</sup>
                    </xref>
                    <sup>,</sup>
                    <xref ref-type="bibr" rid="ref15">
                        <sup>15</sup>
                    </xref> All measurements were performed by the same operator.</p>
            </sec>
            <sec id="sec13">
                <title>Histopathological analysis</title>
                <p>The collected fragments of ulcers were identified and immersed in 10% formol for 24 hours. After fixation in formol, the specimens were macroscopically analyzed, subjected to dehydration in crescent alcoholic series, diaphanized in xylol, impregnated in paraffin, and melted at 60&#x00b0;C. The fragments were packed in paraffin-forming blocks at room temperature. The fragments were sectioned to 5 &#x03bc;m in thickness through the use of microtome and histology using routine coloration by hematoxylin-eosin (HE) was performed. The histopathological parameters were determined and scored from 0 to 4 according to previously published criteria (
                    <xref ref-type="table" rid="T3">Table 3</xref>).
                    <xref ref-type="bibr" rid="ref16">
                        <sup>16</sup>
                    </xref>
                </p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Histopathologic analysis of induced oral ulcers (histological scores).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Score</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Epithelium</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Conjunctive tissue</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No ulcer</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Remodeled</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No ulcer</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fibrosis and slight chronic inflammation</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">With ulcer</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fibrosis and moderate chronic inflammation</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">With ulcer</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Chronic inflammation process (granulation tissue)</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">With ulcer</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Acute process (dilated vessels, mixed inflammatory infiltrate with neutrophils)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec14">
                <title>Immunohistochemistry analysis</title>
                <p>The selected tissue sections of the ulcers (2.5 &#x03bc;m) were deparaffinized and rehydrated with distilled water. Blocking endogen peroxidase activity was done using 3% hydrogen peroxide solution for 15 minutes, followed by washing with phosphate-buffered saline (PBS) three times every 5 minutes. After protein blocking, the dripping of Biocare&#x2019;s Background Sniper was performed and the specimens were incubated for 15 minutes at 37&#x00b0;C. The dripping of normal serum was performed and incubated for 60 minutes at 37&#x00b0;C. The specimens were washed with PBS and anti-TNF-&#x03b1; antibody (RRID: AB_2892586; TNFA/1172) (ab220210Abcam), was diluted at 1:100, and then dripped and incubated at 4&#x00b0;C for two days. After washing with PBS, the secondary antibody goat anti-rabbit IgG H&amp;L horseradish peroxidase (HRP) (RRID: AB_955447; ab6721-Abcam) was given for 30 minutes at 25&#x00b0;C and followed by Betazoid DAB chromogen solution (BDB2004H-Biocare Medicare LLC). It was used for increasing stability and staining intensity for HRP detection in the specimens. The specimens were washed with distilled water and checked with the microscope. After counterstaining with hematoxylin for 30 seconds, the specimens were rinsed in tap water, dehydrated, purified, and mounted. The percentage of nuclear and cytoplasmic expression in the connective tissue was divided into four scores, namely: 0: no positive cells; 1 (mild): 1&#x2013;33% of positive cells; 2 (moderate): 34&#x2013;66% of positive cells; 3 (intense): 67&#x2013;100% of positive cells. Two observers analyzed the same scores until they were considered as the final scores.
                    <xref ref-type="bibr" rid="ref17">
                        <sup>17</sup>
                    </xref>
                </p>
            </sec>
            <sec id="sec15">
                <title>Collagenase analysis</title>
                <p>The same fragments were sectioned to a thickness of 3 &#x03bc;m, de-wax, hydrate paraffin section, and stained using picrosirius red (solution A) for one hour. After washing in acidified water (solution B), the specimens were dehydrated and mounted for observation under polarized light microscopy. The collagen bundles shown in red in the image were then calculated using Adobe Photoshop CC 2017 (RRID:SCR_014199; GNU Image Manipulation Program (RRID:SCR_003182) is an open-access alternative) and ImageJ (v1.50i) (RRID:SCR_003070) software. The percentage of collagen was derived from collagen area pixel divided by tissue pixel and multiply by 100%. The mean of three percentages was used as a sample unit.
                    <xref ref-type="bibr" rid="ref18">
                        <sup>18</sup>
                    </xref>
                </p>
            </sec>
            <sec id="sec16">
                <title>Statistical analysis</title>
                <p>All experiments were carried out in triplicate and the data were expressed as mean &#x00b1; standard deviation (SD). Statistical analysis was performed by using the SPSS 20 software (SPSS Inc., Chicago, USA) (
                    <bold>RRID:SCR_019096</bold>); JASP (
                    <bold>RRID:SCR_015823</bold>) is an open-access alternative. The spreadability and viscosity test analyzed by one-way analysis of variance (ANOVA/Tukey test). Clinical evaluation in changes of the area of ulcer and body weight of rats analyzed by the dependent t-test. Differences among samples in histopathological and immunohistochemistry analysis were evaluated by using the Kruskal&#x2013;Wallis test. Collagenesis analysis was evaluated by using ANOVA/Tukey test. A significant difference was assumed at 
                    <italic toggle="yes">p</italic> &lt; 0.05.</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="results">
            <title>Results</title>
            <sec id="sec18">
                <title>Physical stability evaluation</title>
                <p>The selected formulation F III presented appreciable organoleptic properties during stability studies. The color, smell, taste, and homogeneity didn&#x2019;t show significant changes, but a slight changes in shape and pH were seen in the 8
                    <sup>th</sup> week (
                    <xref ref-type="table" rid="T5">Table 5</xref>). Data of spreadability test in optimum formula gel showed that the longer the storage time, the gel will spread wider. One-Way ANOVA analysis showed that there was a significant difference in the average dispersion of the gel every 2 weeks, between week 0 with week 4, 6, and 8 (mean = 5.53 &#x00b1; 0.09, 95% CI: [&#x2212;1.37, &#x2212;7.36]), so it can be concluded that this gel formula was unstable in spreading ability during 8 weeks storage in 40&#x00b0;C. Different results are found in the viscosity test. The viscosity of the gel showed the reduction of viscosity value every 2 weeks of storage time, but the difference was not significant (
                    <italic toggle="yes">p</italic> &gt; 0.05) These results can be seen in 
                    <xref ref-type="table" rid="T5">Table 5</xref>.</p>
            </sec>
            <sec id="sec19">
                <title>Clinical evaluation</title>
                <p>The change comparison of ulcer size analysis in the buccal mucosa of rats showed a significant decrease in ulcer size in F1, F2, F3, and positive control groups (
                    <xref ref-type="fig" rid="f1">Figure 1A&#x2013;J</xref>, 
                    <xref ref-type="table" rid="T4">Table 4</xref>). This observation was carried out on the second day after the ulcer was formed and at the end of the experiment. The most significant decrease in ulcer area was seen in positive control (triamcinolone acetonide orabase), F2, and F3 treatment groups. Notably, the average ulcer size in positive control, F2, and F3 treatment on the second day was 10.10 &#x00b1; 0.17, 10.08 &#x00b1; 0.16, and 10.08 &#x00b1; 0.18 mm
                    <sup>2</sup>, respectively. On the seventh day, it was seen that the size of the ulcer had almost closed, namely 0.03 &#x00b1; 0.01, 0.11 &#x00b1; 0.07, and 3.49 &#x00b1; 0.42 mm
                    <sup>2</sup>, respectively. In the end of experimental period, the clinical evaluation showed that although ulcers in the F2 group has smaller size, but the ulcers in the F3 group have tighter healing wound closure and more cicatricial tissue formation than other treatment groups. These data analysis showed that treatment with areca nut and chrysanthemum oral gel caused significantly (
                    <italic toggle="yes">p</italic> &lt; 0.05) ulcer healing in a dose-dependent manner in clinical analysis. Analysis of changes in bodyweight showed a significant increase in the F2 and positive control groups, while a significant decrease in bodyweight occurred in the F1 and F3 treatment groups (
                    <xref ref-type="table" rid="T4">Table 4</xref>). Meanwhile, in the negative control group, there was a decrease in bodyweight, but it was not significant.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Clinical analysis of the traumatic ulcers in the buccal mucosa on the second and seventh day.</title>
                        <p>Negative control: base gel treatment group (A and B); Positive control: triamcinolone acetonide treatment (C and D); F1 treatment: 20% areca nut:80% chrysanthemum (E and F); F2 treatment: 50% areca nut:50% chrysanthemum (G and H); F3 treatment: 80% areca nut:20% chrysanthemum (I and J).</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/134148/aa69b5bf-2c3a-444e-8025-99d3a1cbe0c8_figure1.gif"/>
                </fig>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Effect of areca nut and chrysanthemum oral gel on the area of ulcer and body weight changes in rats on the 2nd and 7th experimental days (n = 60).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="3" valign="bottom">Groups</th>
                                <th align="left" colspan="8" rowspan="1" valign="top">Clinical evaluation</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="4" rowspan="1" valign="top">Area of ulcer changes (mm 
                                    <sup>2</sup>)</th>
                                <th align="left" colspan="4" rowspan="1" valign="top">Body weight changes (g)</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">2 
                                    <sup>nd</sup> day</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">7 
                                    <sup>th</sup> day</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2 
                                    <sup>nd</sup> day</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">7 
                                    <sup>th</sup> day</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p</italic>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Negative control</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.34 &#x00b1; 0.69</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.24 &#x00b1; 8.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.34, 6.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">118.58 &#x00b1; 5.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">117.25 &#x00b1; 6.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2212;1.31, 3.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.291</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Positive control</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.10 &#x00b1; 0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.03 &#x00b1; 0,01</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.96, 10.19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">109.58 &#x00b1; 6.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">117.17 &#x00b1; 7.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2212;12.31, &#x2212;2.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.005</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">F1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.04 &#x00b1; 0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.84 &#x00b1; 0.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.89, 7.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">119.17 &#x00b1; 13.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">115.33 &#x00b1; 14.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.12, 5.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">F2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.08 &#x00b1; 0.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.11 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.86, 10.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">116.83 &#x00b1; 4.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">121.58 &#x00b1; 4.87</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2212;8.10, &#x2212;1.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.010</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">F3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.08 &#x00b1; 0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.81 &#x00b1; 0.71</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.25, 7.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">120.50 &#x00b1; 4.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">117.75 &#x00b1; 6.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.35, 5.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.028</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data are expressed as the mean &#x00b1; SD, 95% CI, 
                            <italic toggle="yes">p</italic> &lt; 0.05 dependent t-test, Results are representative of three independent experiments. Negative control: base gel treatment group; Positive control: triamcinolone acetonide treatment; F1: 20% areca nut:80% chrysanthemum; F2: 50% areca nut:50% chrysanthemum; F3: 80% areca nut:20% chrysanthemum.</p>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>Table 5. </label>
                    <caption>
                        <title>Organoleptics characteristics and physical stability tests of F III kept at 40&#x00b0;C/75% RH.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="bottom">Evaluation</th>
                                <th align="left" colspan="5" rowspan="1" valign="top">Weeks of storage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                                <th align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">0</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">4</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">6</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">8</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p</italic>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">
                                    <bold>Organoleptic characteristics</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Color</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dark chocolate</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dark chocolate</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dark chocolate</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dark chocolate</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Dark chocolate</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Aroma</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Typical aromatic</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Typical aromatic</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Typical aromatic</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Typical aromatic</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Typical aromatic</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Taste</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bitter</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bitter</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bitter</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bitter</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bitter</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Shape</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Condensed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Condensed</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Liquid</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Liquid</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Liquid</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Homogeneity</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Homogeneous</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>pH</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.50 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.52 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.50 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.45 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.49 &#x00b1; 0.01</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Spreadability (cm)</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.53
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref> &#x00b1; 0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.72
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref> &#x00b1; 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.21
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref> &#x00b1; 0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.73
                                    <xref ref-type="table-fn" rid="tfn4">
                                        <sup>c</sup>
                                    </xref> &#x00b1; 0.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.79
                                    <xref ref-type="table-fn" rid="tfn4">
                                        <sup>c</sup>
                                    </xref> &#x00b1; 0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;1.37, &#x2212;7.36
                                    <xref ref-type="table-fn" rid="tfn5">
                                        <sup>d</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Viscosity (m.Pas)</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">202.24
                                    <xref ref-type="table-fn" rid="tfn6">
                                        <sup>e</sup>
                                    </xref> &#x00b1; 1.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">184.52
                                    <xref ref-type="table-fn" rid="tfn6">
                                        <sup>e</sup>
                                    </xref> &#x00b1; 4.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">181.03
                                    <xref ref-type="table-fn" rid="tfn6">
                                        <sup>e</sup>
                                    </xref> &#x00b1; 0.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">161.96
                                    <xref ref-type="table-fn" rid="tfn6">
                                        <sup>e</sup>
                                    </xref> &#x00b1; 2.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">155.82
                                    <xref ref-type="table-fn" rid="tfn6">
                                        <sup>e</sup>
                                    </xref> &#x00b1; 0.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2212;4.54, 35.42
                                    <xref ref-type="table-fn" rid="tfn5">
                                        <sup>d</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.129</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data are expressed as the mean &#x00b1; SD, 95% CI, 
                            <italic toggle="yes">p</italic> &lt; 0.05, One-Way ANOVA/Tukey Post Hoc test. Results are representative of three independent experiments.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn2">
                                <label>
                                    <sup>a</sup>
                                </label>
                                <p>Significantly different from the week 4, 6, and 8;</p>
                            </fn>
                            <fn id="tfn3">
                                <label>
                                    <sup>b</sup>
                                </label>
                                <p>Significantly different from the week 0, 2, 6, and 8;</p>
                            </fn>
                            <fn id="tfn4">
                                <label>
                                    <sup>c</sup>
                                </label>
                                <p>Significantly different from the week 0, 2, and 4;</p>
                            </fn>
                            <fn id="tfn5">
                                <label>
                                    <sup>d</sup>
                                </label>
                                <p>95% CI week 0 vs week 8,</p>
                            </fn>
                            <fn id="tfn6">
                                <label>
                                    <sup>e</sup>
                                </label>
                                <p>No significant differences of viscosity among weeks of storage time (
                                    <italic toggle="yes">p</italic> &gt; 0.05).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>Table 6. </label>
                    <caption>
                        <p>Effect of areca nut and chrysanthemum oral gel on histological scores, number of connective tissue cells that expressed TNF-&#x03b1;, and percentage of collagen deposition area on the 7 
                            <sup>th</sup> experimental day (n = 18).</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="3" valign="bottom">Parameter</th>
                                <th align="left" colspan="8" rowspan="1" valign="top">Microscopic evaluation</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="8" rowspan="1" valign="top">Groups</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="bottom">Negative control</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Positive control</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F1</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F2</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">F3</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Normal</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p</italic>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Histological scores</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.34 &#x00b1; 1.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.67 &#x00b1; 1.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.34 &#x00b1; 0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.107</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">TNF-&#x03b1; immunostaining scores</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.33 &#x00b1; 0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.67 &#x00b1; 0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.00 &#x00b1; 1.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.33 &#x00b1; 0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.33 &#x00b1; 0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.00 &#x00b1; 0</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.025</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Collagen deposition area (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.63
                                    <xref ref-type="table-fn" rid="tfn7">
                                        <sup>a</sup>
                                    </xref> &#x00b1; 2.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14.49 &#x00b1; 0.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17.73
                                    <xref ref-type="table-fn" rid="tfn8">
                                        <sup>b</sup>
                                    </xref> &#x00b1; 9.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.63
                                    <xref ref-type="table-fn" rid="tfn9">
                                        <sup>c</sup>
                                    </xref> &#x00b1; 0.92</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.4
                                    <xref ref-type="table-fn" rid="tfn10">
                                        <sup>d</sup>
                                    </xref> &#x00b1; 2.12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.40 &#x00b1; 1.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.61, 23.93
                                    <xref ref-type="table-fn" rid="tfn11">
                                        <sup>e</sup>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data of histological and TNF-&#x03b1; immunostaining scores are expressed as the mean&#x00b1;SD, 
                            <italic toggle="yes">p</italic> &lt; 0.05, Kruskal-Wallis test. Data of collagenase assay are expressed as the mean &#x00b1; SD, 95% CI, 
                            <italic toggle="yes">p</italic> &lt; 0.05, One-Way ANOVA/Tukey Post Hoc test. Results are representative of three independent experiments.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn7">
                                <label>
                                    <sup>a</sup>
                                </label>
                                <p>Significantly different from F1 and F3 groups.</p>
                            </fn>
                            <fn id="tfn8">
                                <label>
                                    <sup>b</sup>
                                </label>
                                <p>Significantly different from negative control.</p>
                            </fn>
                            <fn id="tfn9">
                                <label>
                                    <sup>c</sup>
                                </label>
                                <p>Significantly different from F3.</p>
                            </fn>
                            <fn id="tfn10">
                                <label>
                                    <sup>d</sup>
                                </label>
                                <p>Significantly different from F2, negative control, and normal groups.</p>
                            </fn>
                            <fn id="tfn11">
                                <label>
                                    <sup>e</sup>
                                </label>
                                <p>95% CI of F2 compared with F3. Negative control: base gel treatment group; Positive control: triamcinolone acetonide treatment; F1: 20% areca nut:80% chrysanthemum; F2: 50% areca nut:50% chrysanthemum; F3: 80% areca nut:20% chrysanthemum.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec20">
                <title>Histological evaluation</title>
                <p>To verify the mechanism of ulcer healing by areca nut and chrysanthemum oral gel, the ulcers were subjected to histological examination. As seen in 
                    <xref ref-type="table" rid="T6">Table 6</xref>, the mean of histological scores on the seventh day showed that positive control, F1, and F3 groups indicated that there were no ulcers in the epithelial layer, presence of fibrosis, and slight chronic inflammation in the conjunctive tissue. The score 0 indicating no ulcers and remodeling in the conjunctive tissue was seen in the negative control, F2, and normal groups, but significant differences between groups were not detected in histology examination. Analysis of photomicrograph of ulceration showed loss of ulcer with remodeled connective tissue and accompanied by a slight inflammatory infiltrate in 
                    <xref ref-type="fig" rid="f2">Figure 2B, </xref>
                    <xref ref-type="fig" rid="f2">2C</xref>, and 
                    <xref ref-type="fig" rid="f2">2E</xref> (score 1). There were no visible inflammations in 
                    <xref ref-type="fig" rid="f2">Figure 2A, </xref>
                    <xref ref-type="fig" rid="f2">2D</xref>, and 
                    <xref ref-type="fig" rid="f2">2F</xref> (score 0).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Histopathological analysis of the traumatic ulcers in the buccal mucosa at second and seventh day.</title>
                        <p>(A) Negative control: base gel; (B) Positive control: triamcinolone acetonide in orabase; (C) F1: 20% areca nut:80% chrysanthemum; (D) F2: 50% areca nut:50% chrysanthemum; (E) F3: 80% areca nut:20% chrysanthemum; (F) Normal group: without ulcer and treatment (Hematoxylin and eosin, 40&#x00d7;).</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/134148/aa69b5bf-2c3a-444e-8025-99d3a1cbe0c8_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec21">
                <title>Immunohistochemical evaluation</title>
                <p>The immunostaining for TNF-&#x03b1; aims to show changes in TNF-&#x03b1; expression released by connective tissue cells in the cytoplasm during the healing process ( 
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). The increase in the expressions with a mean score of 2 (moderate) was showed by positive control (2.67 &#x00b1; 0.58) and F2 groups (2.33 &#x00b1; 0.58) (
                    <xref ref-type="table" rid="T6">Table 6</xref>). The lower scores (1-mild) were seen in the negative control, F1, F3, and normal groups. This study showed significant differences between the six groups with changes in TNF-&#x03b1; expression. These results were in line with the pictures that revealed brown diffuse granular-like staining pattern of the connective tissue and epidermis in the 
                    <xref ref-type="fig" rid="f3">Figure 3B and </xref>
                    <xref ref-type="fig" rid="f3">3D</xref>, while the other groups did not show dominant TNF-&#x03b1; expressions except in the F3 group, the immunostaining of TNF-&#x03b1; was prominently found in the basal cell layer (
                    <xref ref-type="fig" rid="f3">Figure 3E</xref>).</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Immunohistochemistry analysis of the traumatic ulcers in the buccal mucosa on the second and seventh day.</title>
                        <p>(A) Negative control: base gel; (B) Positive control: triamcinolone acetonide in orabase; (C) F1: 20% areca nut:80% and chrysanthemum; (D) F2: 50% areca nut:50% chrysanthemum; (E) F3: 80% areca nut:20% chrysanthemum; (F) Normal group: without ulcer and treatment (TNF-&#x03b1; immunostaining, 40&#x00d7;)</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/134148/aa69b5bf-2c3a-444e-8025-99d3a1cbe0c8_figure3.gif"/>
                </fig>
            </sec>
            <sec id="sec22">
                <title>Collagenase evaluation</title>
                <p>The results of red picrosirius staining on the last experimental day showed the highest collagen deposition in the F3 group with a mean of 25.4 &#x00b1; 2.12, while collagen deposition in low level was seen in the F2, normal, and negative control group (12.63 &#x00b1; 2.28, 9.04 &#x00b1; 1.05, 5.63 &#x00b1; 2.28, respectively) ( 
                    <xref ref-type="table" rid="T6">Table 6</xref>). 
                    <xref ref-type="fig" rid="f4">Figure 4B</xref> (Positive control) and 4D (F2 group) showed regular, dense, and thick collagen, whereas, in the negative control (
                    <xref ref-type="fig" rid="f4">Figure 4F</xref>), collagen deposition showed thin, irregular, and many empty gaps. The ANOVA analysis showed significant differences (
                    <italic toggle="yes">p</italic> &lt; 0.05) in collagen expression between groups (
                    <xref ref-type="table" rid="T6">Table 6</xref>). The Tukey test demonstrated significant differences between F2 and F3 groups. Other significant differences were evaluated between F1, F2, F3, and negative control groups.</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Collagenase analysis of the ulcerations in the buccal mucosa on the seventh day.</title>
                        <p>(A) Negative control: base gel; (B) Positive control: triamcinolone acetonide in orabase; (C) F1: 20% areca nut:80% chrysanthemum; (D) F2: 50% areca nut:50% chrysanthemum; (E) F3: 80% areca nut:20% chrysanthemum; (F) Normal group: without ulcer and treatment (Picosirius red staining, 40&#x00d7;). Yellow arrow: Disintact collagen bundles. Blue arrow: Intact collagen bundles.</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/134148/aa69b5bf-2c3a-444e-8025-99d3a1cbe0c8_figure4.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec23" sec-type="discussion">
            <title>Discussion</title>
            <p>The preparation of the oral topical gel in this study using a CMC-Na-based gel. The gel form was chosen because it is easy to dry and provides a cool feeling on the mucosal surface. The gel formulation was carried out by trial-error by modifying the gelling agent. The aim of designing a stable oral topical gel is to deliver antioxidant properties effectively over its shelf life. Gel stability can be affected by environmental stress such as temperature and humidity. The decrease in the effect of the active gel ingredients can be observed from physical and chemical changes such as color, shape, texture, odor, and pH. The stability test in our research is a step in optimizing the preparation based on the selection of the appropriate gelling agent level so that the oral gel can be stable in various storage settings. The organoleptic characteristics of the optimum gel (F III) showed promising stability because there were no significant changes in color, odor, texture, and shape. The gel is said to be homogeneous if there is an even color equation and no different particles are found. The consistency, acidity, and spreadability of the gel are related to the comfort of use on the surface of the oral mucosa. The disadvantages of the gel are that it cannot adhere tightly to the mucosa surface and is easily soluble in saliva. This research showed that viscosity stability is an important consideration in the flow and texture properties of the gel. The stability of the constituents extract in the gel is also important because the pharmacological properties depend on the chemical viability of the extract. As pointed out above, the catechins are pharmacologically active constituents of the areca nut; however they are more stable at high concentrations around pH 4 and low temperature.
                <xref ref-type="bibr" rid="ref9">
                    <sup>9</sup>
                </xref> Their stability is affected by several factors such as pH, temperature, and concentration in solution state.
                <xref ref-type="bibr" rid="ref10">
                    <sup>10</sup>
                </xref>
            </p>
            <p>In the present study, we demonstrated that application of the oral gel to ulcerated lesions for 6 days showed significant lesion healing in the composition of the oral gel containing 50% areca nut:50% chrysanthemum and 80% areca nut:20% chrysanthemum. This significant wound healing was based on the clinical appearance such as ulcer size reduction, reepithelization over the ulcer base, and formulation of granulation tissue around the ulceration. These results have the same clinical appearance as the positive control group that using triamcinolone acetonide. Areca nut, as one of the main ingredients, contains phenolic and flavonoids which function as antioxidants.
                <xref ref-type="bibr" rid="ref19">
                    <sup>19</sup>
                </xref> Catechin is a component of flavonoids present in areca nut that acts as an antioxidant by chelating the ions and scavenging the free radicals particularly, superoxide (O 
                <sup>2&#x2013;</sup>), peroxyl, hydroxyl radicals (&#x00b7;OH), and hence inhibit both DNA damage and lipid peroxidation, which can cause membrane damage.
                <xref ref-type="bibr" rid="ref20">
                    <sup>20</sup>
                </xref> Catechin can reduce the expression of interleukin-6 (IL-6) and IL-8 which function to overcome inflammation and increase the wound healing process by chemotactic for fibroblasts, accelerates their migration and stimulates deposition of tenascin, fibronectin, and collagen I during wound healing 
                <italic toggle="yes">in vivo.</italic>
                <xref ref-type="bibr" rid="ref21">
                    <sup>21</sup>
                </xref>
                <sup>&#x2013;</sup>
                <xref ref-type="bibr" rid="ref24">
                    <sup>24</sup>
                </xref> The success of using areca nut in oral gel to heal the ulcers is in line with a previous study using ointment with 2% ethanolic extract on burns on the skin.
                <xref ref-type="bibr" rid="ref10">
                    <sup>10</sup>
                </xref> This study also used a combination with chrysanthemum. Previous studies have shown that chrysanthemum has antioxidant, antiproliferative, antimicrobial, acetylcholine esterase inhibition, antitimelanogenic, and antiviral activities, especially 
                <italic toggle="yes">Chrysanthemum morifolium, Chrysanthemum indicum</italic>, and 
                <italic toggle="yes">Chrysanthemum coronarium.</italic> The active phytochemistry content of chrysanthemum is apigenin-7-O-glucoside.
                <xref ref-type="bibr" rid="ref25">
                    <sup>25</sup>
                </xref>
            </p>
            <p>The wound in untreated rats would recover without treatment for a certain period. The wound healing process normally begins immediately after the damage occurs, but the mechanism and speed of repair of damaged tissue depend on the type of wound and the body&#x2019;s defense system. A normal wound healing progresses through inflammatory, proliferative, and remodeling phases in response to tissue injury. Impairments of any of these phases can cause the wound to be in a chronic, non-healing state. Although the body has its wound healing mechanism without the help of external medicinal materials, the acceleration of wound healing can be assisted by intervention in the form of a supply of materials and nutrients that can be obtained from outside to guide the process back to completion. In this study, medicinal plants have roles in accelerating the process of wound healing. Collagen is an important extracellular matrix component in the regulation of the phases of wound healing in its native. The administration of a combination of areca nut and chrysanthemum extract gel on wounds of the oral mucosa can produce better-wound healing with the ability to stimulate collagen and TNF-&#x03b1; activity so that it can increase the average wound contraction and increase re-epithelialization. This condition is expected to significantly reduce wound healing time.</p>
            <p>This present study observed the body weight of rats before and after application. There are similarities between ulcer repair and weight gain. A significant increase in body weight in the F2 and positive control showed faster healing of ulcers, making it easier for rats to consume more food. The use of healthy rats aims to evaluate the effect of ulcers in the oral cavity purely based on the ability of rats to gain healing process without being affected by systemic diseases that can affect rat&#x2019;s body weight. Areca nut is capable of repressing prostaglandin E 
                <sub>2</sub> (PGE
                <sub>2</sub>) and arachidonic acid-induced inflammation, thereby helping to accelerate ulcer healing.
                <xref ref-type="bibr" rid="ref26">
                    <sup>26</sup>
                </xref> The analgesic or antinociceptive activity of the areca nut is originated by inhibition of prostaglandin synthesis. The oral gel form was chosen to facilitate absorption in the oral mucosa and it has a rapid cool soothing effect, although the drawback is that the gel is easily soluble in saliva. Application twice a day in the morning and evening regularly showed a fairly good cicatrization process in both groups (F2 and positive control). The increase in body weight in the rat showed that in the last few days the diet was not disturbed by the size of the ulcer.</p>
            <p>Histological examination with HE staining on day seven showed no significant difference between all treatment groups, normal, positive, and negative control groups. The oral gel containing a balanced composition of areca nut and chrysanthemum, negative control, and normal groups did not show any ulcers and the epithelial tissue had been completely remodeled. Meanwhile, the other group still showed fibrosis and inflammation without ulcers. Fibrosis, persistent neutrophil infiltration, and poor angiogenesis in the ulcer base are factors involved in the underlying mechanism of delayed healing ulcers.
                <xref ref-type="bibr" rid="ref27">
                    <sup>27</sup>
                </xref> The ulcer healing mechanism begins with ulcer base contraction which includes contraction of the ulcerated area, re-epithelization over the ulcer base, and formation of granulation tissue. The next step is epithelial regeneration and mucus secretion. This epidermal repair is regulated by a key growth factor (KGF) that is expressed at very high levels within 24 h of injury on dermal skin.
                <xref ref-type="bibr" rid="ref28">
                    <sup>28</sup>
                </xref> The buccal mucosa is a non-keratinocyte layer, so it is probably the most involved in the re-epithelization process in the oral mucosa is salivary mucin. Mucin is the primary gel-forming component of mucus that provide a critical layer of protection on the wet epithelial surface including gastrointestinal, female genital, and respiratory tracts.
                <xref ref-type="bibr" rid="ref29">
                    <sup>29</sup>
                </xref> Angiogenesis is the next step of ulcer healing. It allows the supply of nutrients and oxygen to the ulcerated area thereby giving the collagen in connective tissue and epithelium an opportunity to recover. Matrix formation is the last step of ulcer repair. This remodeling formation is regulated by the temporospatial expression of the fibrillar and basement membrane collagen (types I, III, IV), and matrix metalloproteinase-2 (MMP-2). Fibronectin is important for cell proliferation, adhesion, differentiation, and matrix formation.</p>
            <p>In the present study, the analysis of TNF-&#x03b1; showed that the increase in the moderate expressions was showed by positive control and F2 groups. This is in line with research by Kobayashi 
                <italic toggle="yes">et al.</italic> which showed that the water-soluble component in dried chrysanthemum has antioxidant ability to increase TNF-&#x03b1;. This activity was observed within 3 hours after ulcer formation.
                <xref ref-type="bibr" rid="ref8">
                    <sup>8</sup>
                </xref> TNF-&#x03b1; is a cytokine produced primarily by immune cells such as monocytes/macrophages, but several cell types, such as T and B lymphocytes, natural killer cells, neutrophils, fibroblasts, and osteoclasts can also secrete TNF-&#x03b1; in smaller quantities.
                <xref ref-type="bibr" rid="ref30">
                    <sup>30</sup>
                </xref> TNF-&#x03b1; levels which had the same score between F2 and positive control on the seventh day showed that the amount of this cytokine was still high detected in the local connective tissue. Prolonged or remaining elevated expression of TNF-&#x03b1; may occur for up to the third to the fifth day following the traumatic injury.
                <xref ref-type="bibr" rid="ref31">
                    <sup>31</sup>
                </xref> Prolonged increase in TNF-&#x03b1; especially in delayed healing reflects their augmented blood TNF-&#x03b1;, suggesting an association between impaired healing and hard work TNF-&#x03b1; in the inflammatory response so that wound healing is achieved.
                <xref ref-type="bibr" rid="ref32">
                    <sup>32</sup>
                </xref> In this study, we did not examine the level of TNF-&#x03b1; in the blood so that the role of areca nut-chrysanthemum oral gel to accelerate wound healing systemically cannot be explored.</p>
            <p>Triamcinolone acetonide was chosen as a positive control because this preparation has efficacy as a synthetic corticosteroid that has anti-inflammatory, antipruritic, and anti-allergic effects. This preparation has the advantage of being an emollient dental paste that can attach the drug to the oral mucosal tissue so that it is not easily soluble in saliva. An important role of steroids in triamcinolone acetonide is to alter the localization of high junction proteins thereby increasing the adhesion density between epithelial cells.
                <xref ref-type="bibr" rid="ref33">
                    <sup>33</sup>
                </xref> A tight epithelial protective barrier can be achieved through tight cell adhesion. Contacts between adjacent cells are made up of tight junctions, adherens junctions, and desmosomes which help in preserving tissue homeostasis. This study showed that with the use of triamcinolone acetonide, F2, and F3 group on the seventh day, the ulcers had closed tightly without any inflammation. These results prove that there might be a possibility of areca nut&#x2013;chrysanthemum oral gel also can close the adhesion bonds between epithelial cells so that the level of wound closure density which is similar to that of the group positive control (triamcinolone acetonide).</p>
            <p>Collagenase analysis showed a lot of collagen deposition in the F3 group. The results of this study are in line with the fact that the alkaloids in areca nut are potent inducers to increase the amount of collagen. Previous research has shown that a series of synthetic arecaidine esters by oral mucosa fibroblast was closely correlated with the extent of collagen synthesis.
                <xref ref-type="bibr" rid="ref34">
                    <sup>34</sup>
                </xref> Alkaloids in the areca nut in a long term play a major role in the accumulation of collagen in oral submucous fibrosis (OSF). Collagen is a key component of the extracellular matrix that plays a critical role in the regulation of the phases of wound healing. Collagen exposure due to injury in the inflammatory phase will activate the clotting cascade, resulting in a fibrin clot that stops the initial bleeding. It also acts as potent chemoattractants for neutrophils, enhancing phagocytosis and immune response and modulating gene expressions. Collagen promotes anti-inflammatory, proangiogenic wound macrophage phenotype 
                <italic toggle="yes">via</italic> microRNA signaling. In the angiogenesis phase, collagen stimulates angiogenesis 
                <italic toggle="yes">in vitro</italic> and 
                <italic toggle="yes">in vivo</italic> through the engagement of specific integrin receptors. The C-propeptide fragment of collagen I recruit endothelial cells, potentially triggering angiogenesis in the healing wound.
                <xref ref-type="bibr" rid="ref35">
                    <sup>35</sup>
                </xref>
            </p>
            <p>The results of the evaluation of collagen deposition after treatment, with picrosirius red staining, showed a picture of collagen with thicker density, large fiber size, and lots of collagen fibrils in the oral gel with higher composition of areca nut which consisted 80% of areca nut. This shows the good work of collagen to repair ulcers. Although the result of the collagenase assay has a significant 
                <italic toggle="yes">p</italic> value, the range in the confidence interval (CI) is very wide. It indicates that these results have great uncertainty about the effect of the extract content in the gel for ulcer healing.
                <xref ref-type="bibr" rid="ref11">
                    <sup>11</sup>
                </xref> Further research is needed by using a larger sample size so that it can produce narrower estimated CIs and the estimated effect could become more reliable.</p>
        </sec>
        <sec id="sec24" sec-type="conclusion">
            <title>Conclusion</title>
            <p>The present study provides the activity of the healing effect of combination areca nut and chrysanthemum. This oral gel can improve ulcer wound healing through the role of TNF-&#x03b1; and collagen with the same results as topical steroid therapy.</p>
        </sec>
        <sec id="sec25">
            <title>Data availability</title>
            <sec id="sec26">
                <title>Underlying data</title>
                <p>Dryad: Underlying data for &#x2018;Evaluation of clinical, histology, TNF-&#x03b1;, and collagen expressions on oral ulcer in rats after treatment with areca nut and chrysanthemum oral gel&#x2019;. 
                    <uri xlink:href="https://doi.org/10.5061/dryad.8w9ghx3mw">https://doi.org/10.5061/dryad.8w9ghx3mw</uri>.</p>
                <p>The project contains the following underlying data: body weight, oral ulcer&#x2019;s size, histology and tnf-&#x03b1; score, collagen percentage.</p>
            </sec>
        </sec>
    </body>
    <back>
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            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Nekooeian AA</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport136024" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.54887.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The manuscript examines the effects of areca and chrysanthemum oral gel on oral ulcers using clinical, histological and biomarkers criteria. Although nicely-written the manuscript suffers from a major problem and that is the lack of untreated group of rats with oral ulcer. The manuscript in the current form cannot answer the question that if untreated rats are left for the period used in this study, they would recover without treatment.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Cardiovascular Pharmacology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment8892-136024">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Sari</surname>
                            <given-names>Liza</given-names>
                        </name>
                        <aff>Dentistry Faculty Syiah Kuala Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We have no competing interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>12</day>
                    <month>10</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>We understand that wounds on the buccal mucosa of rats can heal on their own, but the results of our study prove that there is a difference in wound healing in the group that received treatment and the group without treatment. In addition to the results from clinical examinations, differences in healing speed were also supported by differences in test results for TNF-alpha levels and collagenase activity. The technique of applying the oral gel to the oral mucosa of rats is important in this research process because at the time of application the rats are not anesthetized, so there is a possibility that the gel is not maximally absorbed in the oral mucosa and most of it dissolves in saliva and is swallowed by rats. In this study, the oral gel was applied over the wound and held for 1 minute. The drug partitions dissolved into the mucous membrane and within a few minutes will reach equilibrium with the drug in solution in the oral cavity.</p>
                <p> </p>
                <p> One of the previous studies revealed the existence of the term pseudo-equilibrium which refers to the balance of a drug in solution and a drug in tissue in a relatively short contact time in the oral cavity before a dose of the drug is swallowed. 
                    <bold>This pseudo equilibrium has an absorption half-life of about 0.87 minutes (52 seconds).</bold> 
                    <bold>It means that the oral mucosa absorbed the drug partition in the oral gel.</bold>
                </p>
                <p> </p>
                <p> However, the effectiveness of the efficacy of the areca nut chrysanthemum gel can only be seen through clinical examination of the difference in cure rates between the treated groups with positive and negative controls. Although the results of the histology examination showed no significant difference, however, the results of the immunohistochemistry test showed an increase in TNF alpha expression which plays a role in the wound healing process as well as an increase in the work of collagen.</p>
                <p> </p>
                <p> Several factors that influence the fast or slow absorption of drugs on the mucosal surface are permeability and blood supply. The buccal mucosa is the part that has a high permeability making it easier for drugs to enter. The buccal mucosa has a thin layer of nonkeratinized epithelium consisting of the stratum basale, filamentous, and distendum, facilitating the absorption of the drug substance into the epithelium. In addition, the buccal mucosa lacks the intercellular lamellar bilayer structure found in the stratum corneum and is more permeable. Another factor that increases tissue permeability is the rich blood supply in the oral mucosa, which causes the absorption of drugs from the oral cavity into the mucosal tissue to be faster</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report97319">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.77568.r97319</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shaqinah Nasaruddin</surname>
                        <given-names>Nurrul</given-names>
                    </name>
                    <xref ref-type="aff" rid="r97319a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r97319a1">
                    <label>1</label>Department of Craniofacial Diagnostics and Biosciences, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>10</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Shaqinah Nasaruddin N</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport97319" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.54887.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The author has made the changes and amendments accordingly.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Pathology, histology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment7352-97319">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Sari</surname>
                            <given-names>Liza</given-names>
                        </name>
                        <aff>Dentistry Faculty Syiah Kuala Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We declare no competing of interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>26</day>
                    <month>10</month>
                    <year>2021</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you very much for your correction to our writing.&#x00a0;</p>
                <p> It improved the quality of the article.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report90097">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.58412.r90097</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Shaqinah Nasaruddin</surname>
                        <given-names>Nurrul</given-names>
                    </name>
                    <xref ref-type="aff" rid="r90097a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r90097a1">
                    <label>1</label>Department of Craniofacial Diagnostics and Biosciences, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>24</day>
                <month>9</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Shaqinah Nasaruddin N</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport90097" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.54887.1"/>
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                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
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        </front-stub>
        <body>
            <p>
                <list list-type="order">
                    <list-item>
                        <p>The major concern of this manuscript is the technique of treatment process. While the rats are fully awake, it is very difficult to apply the topical on the ulcerated buccal mucosa. The rats will chew the probe and it is very difficult to visualize the lesions for monitoring.&#x00a0; Since the mucosal epithelium is highly dividing cells, how sure are you the healing occur due to treatment given?&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>Among all inflammatory cytokines, why TNF-alpha was chosen?&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The contrast color for special staining picrosirius red should be yellow and red, and the red indicates positive for collagen. However, the pictures were lacked with the contrast and all the tissues appear homogenously red.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The author should briefly explain the histology findings in the figure legend.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>The clinical evaluation results were contradicted with histology evidence, whereby the author mentioned that the ulcer is almost healed. but histologically, it showed complete healing with thick stratified epithelium.&#x00a0;</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>pathology, histology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment7235-90097">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Sari</surname>
                            <given-names>Liza</given-names>
                        </name>
                        <aff>Dentistry Faculty Syiah Kuala Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We do not have competing interests</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>29</day>
                    <month>9</month>
                    <year>2021</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Reviewer,</p>
                <p> I would like to respond to the comment's report:</p>
                <p> </p>
                <p> 
                    <bold>1. </bold>
                    <italic>
                        <bold>The major concern of this manuscript is the technique of the treatment process. While the rats are fully awake, it is very difficult to apply the topical on the ulcerated buccal mucosa. The rats will chew the probe and it is very difficult to visualize the lesions for monitoring.&#x00a0; Since the mucosal epithelium is highly dividing cells, how sure are you the healing occur due to treatment given?</bold>&#x00a0;</italic>
                </p>
                <p> </p>
                <p> 
                    <bold>Answer</bold>: In this study, we performed oral gel application on the buccal mucosa of the rat twice a day at 8 am and 8 pm. This application is by holding the rats, opening his mouth gently and slowly, then applying to the wound and holding it for about 20-30 seconds. After that, the mice were isolated briefly for 1 hour to avoid eating and drinking. We try our best to make the gel last well even if it's only for a few minutes, considering that this gel dissolves easily in saliva. We have acknowledged that this is one of the limitations of this study. We hope that with further research, we can make a formulation of topical oral gel in orabase so that it can last longer in the mouth. However, despite the brief application of the buccal mucosa, cellular changes can be seen differently on immunohistochemistry examination and collagenase assay after seven days of treatment.</p>
                <p> </p>
                <p> The extent of absorption of materials through the skin or oral mucosa depends on the surface area over which the substance is applied, the concentration of the substance administered, the lipid solubility of the material or vehicle, whether the skin surface is intact, the skin thickness at the site of application, the length of time that the material is in contact with the skin surface, and the degree of skin hydration and surface occlusion, in that covered and well-hydrated skin absorbs substances faster than does uncover or dry skin.</p>
                <p> </p>
                <p> The surface of the buccal mucosa is covered by non-keratinized stratified squamous epithelium. Keratinized mucosa is less permeable to the drugs as compared to the non-keratinized mucosa. This causes the buccal mucosa to more easily absorb the drug than the gingiva and palate. The turnover of the buccal epithelium which is due to differentiation and desquamation of the epithelium also accelerates the wound healing process happens faster. The turnover time for the buccal epithelium has been estimated at 14 days. Oral mucosa is well-hydrated skin that can absorb substances faster than dry skin.</p>
                <p> We have added this explanation in the &#x201c;
                    <bold>Discussion</bold>&#x201d; section.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <italic>
                        <bold>2. Among all inflammatory cytokines, why TNF-alpha was chosen?</bold>&#x00a0;</italic>
                </p>
                <p> 
                    <bold>Answer: </bold>This research was initiated with lesions originating from simple injuries. We hope that the development of the results of this study can help the development of herbal extracts to accelerate the healing of oral diseases such as mucositis, RAS, and traumatic ulcers.</p>
                <p> The reason why we choose TNF-&#x03b1; is that TNF-&#x03b1; is a central regulator of inflammation. TNF-&#x03b1; is also a crucial cytokine in the establishment and maintenance of inflammation in multiple autoimmune diseases.&#x00a0;</p>
                <p> </p>
                <p> Although its precise role in wound healing is not fully understood, however, Ritsu et al. (
                    <italic>Ritsu M, Kawakami K, Kanno E, et al. Critical role of tumor necrosis factor</italic>
                    <italic>-&#x03b1; in the early process of wound healing in skin. </italic>
                    <italic>J. Dermatol. Dermatol. Surg. 2017. Vol 21(1). 14-19</italic>) reported that TNF-&#x03b1; is involved in the early process of wound healing. It is quickly released and initiates inflammation at wound tissues. The wound healing was accelerated on day 3 when mice were treated with bioactive TNF-&#x03b1;. Another previous study reported that impaired healing in animal models and age-related delayed healing of acute human wounds exhibit raised local and systemic levels of TNF-&#x03b1; that may parallel the pro-inflammatory phenotype. Despite previous studies showed varying results, there is an interest in observing the effect of TNF-&#x03b1; levels in ulcer healing after application of an oral topical gel.</p>
                <p> </p>
                <p> 
                    <bold>3. 
                        <italic>The contrast color for special staining picrosirius red should be yellow and red, and the red indicates positive for collagen. However, the pictures lacked contrast and all the tissues appear homogenously red.</italic>
                    </bold>
                </p>
                <p> </p>
                <p> The resulting photos consist of two types; polarized and non-polarized light microscopy. The polarized colors of Picosirius red staining depend only on fiber thickness and packing, not on the composition of the specific collagen type within collagen bundles. Under polarized light, the oral mucosa sections seem to show collagen type 1 which showed thicker and denser fibers on the seventh day. We don't know why the red color was very generalized in the oral mucosa section although the Picosirius staining was done according to the standard procedure (as you can see in Figures 1a and b, the section was taken from one of the photos of positive control).</p>
                <p> </p>
                <p> We searched the reason from another source (Kiernan JA. Sirius red for collagen staining protocol. The University of Western Ontario, Canada). It was said that if we used the polarized light, sometimes we will lose "the yellow background" of picric acid staining. The loss of the yellow cytoplasmic background is probably caused by the dehydrating process.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <inline-graphic 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"/>
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"/>
                </p>
                <p> </p>
                <p> Figure 1.a. Polarized light microscopy (Positive control)</p>
                <p> Figure 1. b. Non-polarized light microscopy (Positive control)</p>
                <p> </p>
                <p> &#x00a0;
                    <bold>4. 
                        <italic>The author should briefly explain the histology findings in the figure legend.&#x00a0;</italic>
                    </bold>
                </p>
                <p> </p>
                <p> Thank you for the advice given. We have added the histology findings in the figure legend.</p>
                <p> </p>
                <p> </p>
                <p> 5. 
                    <italic>
                        <bold>The clinical evaluation results were contradicted histology evidence, whereby the author mentioned that the ulcer is almost healed. but histologically, it showed complete healing with thick stratified epithelium.</bold>
                    </italic>
                </p>
                <p> </p>
                <p> All measurements were performed by the same operator. We analyzed the ulcers directly and through photos. Histological examination results were analyzed several weeks after the visual examination was performed. At that time, some lesions showed the tip of the wound still have a light and thin ulcer while the other end had healed completely. The clinical examination data are the actual data based on our observations before seeing the histological results. The histological score showed that the group F1, F3, and positive control (Figure 2) had a score of 1. The normal, negative control and F2 showed a score of 0. We decided to perform the first data just the way they were without adjusting with the histological assessment.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report91931">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.58412.r91931</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Indrayanto</surname>
                        <given-names>Gunawan</given-names>
                    </name>
                    <xref ref-type="aff" rid="r91931a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4580-7487</uri>
                </contrib>
                <aff id="r91931a1">
                    <label>1</label>Faculty of Pharmacy, Surabaya University, Surabaya, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>16</day>
                <month>8</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Indrayanto G</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport91931" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.54887.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Some important methods and data were not reported: 
                <list list-type="order">
                    <list-item>
                        <p>Scientific identification of the plant was missing.</p>
                    </list-item>
                    <list-item>
                        <p>Stability evaluation of the extract was missing.</p>
                    </list-item>
                    <list-item>
                        <p>No validation data of the biological assays were reported, without any validation, the validity of the data cannot be confirmed (Z factors, Selective Index, etc.)</p>
                    </list-item>
                    <list-item>
                        <p>No need to report the significance statistic evaluations, data should be presented ad Mean +/- Confidence interval; p values cannot be trusted.</p>
                    </list-item>
                    <list-item>
                        <p>Add Gandevia 
                            <italic>et al. </italic>(2021
                            <sup>
                                <xref ref-type="bibr" rid="rep-ref-91931-1">1</xref>
                            </sup>) and related references.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>No</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Analytical Method Development and its Validation; Natural Product Chemistry, Herbal Drugs</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-91931-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Replication: Do not trust your p&#x2010;value, be it small or large</article-title>.
                        <source>
                            <italic>The Journal of Physiology</italic>
                        </source>.<year>2021</year>;<volume>599</volume>(<issue>11</issue>) :
                        <elocation-id>10.1113/JP281614</elocation-id>
                        <fpage>2989</fpage>-<lpage>2990</lpage>
                        <pub-id pub-id-type="doi">10.1113/JP281614</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment7131-91931">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Sari</surname>
                            <given-names>Liza</given-names>
                        </name>
                        <aff>Dentistry Faculty Syiah Kuala Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>The authors declare no conflict of interests</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>8</day>
                    <month>9</month>
                    <year>2021</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Scientific identification of the plant was missing.</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Response:</bold> This research is a series of research on the benefits of areca nut seeds that has been started in 2012. We have published several publications since 2016 using areca nut extract from the same source (Aceh Besar). We apologize for the negligence or forgetting to re-enter the scientific identification that has been done. We have re-entered the plant identification in the &#x201c;Extract preparation&#x201d; section in &#x201c;Methods&#x201d;. Thank you for your accuracy in reviewing.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <italic>Stability evaluation of the extract was missing.</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Response: </bold>We have added the stability evaluation in the manuscript.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <italic>No validation data of the biological assays were reported, without any validation, the validity of the data cannot be confirmed (Z factors, Selective Index, etc.)</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Response: </bold>We have included the validation data in the manuscript especially the selectivity index of areca nut and chrysanthemum. The studies of areca nut on oral squamous cell carcinoma cell lines (HSC-2 dan HSC-3 cell lines) and human dermal keratinocytes (HaCat cell lines) have been published in 2 previous journals: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Sari LM, Subita GP, Auerkari EI. Potential antioxidant and cytotoxic activities of areca nut (
                                            <italic>Areca catechu</italic> Linn.) extract in human oral squamous cell carcinoma and keratinocyte cells. Asian J Pharm Clin Res 2017;10(10):286-91.</p>
                                    </list-item>
                                    <list-item>
                                        <p>Sari LM, Subita GP, Auerkari EI. (2019). Areca nut extract demonstrated the apoptosis-inducing mechanism by increased caspase-3 activities on oral squamous cell carcinoma 
                                            <italic>F1000 Res, 7</italic>(723), 1-34.</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <italic>No need to report the significance statistic evaluations, data should be presented ad Mean +/- Confidence interval; p values cannot be trusted.</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Response: </bold>Data have been changed to &#x201c;Mean &#x00b1; SD, 95% CI, 
                                <italic>p-value</italic>&#x201d;. Several statements in &#x201c;Discussion&#x201d; dan &#x201c;Results&#x201d; has undergone changes regarding data interpretations.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <italic>Add Gandevia et al. (2021) and related references.</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Response: </bold>We have added: Gandevia S. Replication: Do not trust your p-value, be it small or large. J Physiol 2021;599(11):2989-90.</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
</article>
