<?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.164258.1</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>Associations between Inflammatory Biomarkers, Clinical Parameters of Periodontitis, and COVID-19 History&#x202f;</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rachmasari</surname>
                        <given-names>Rieska</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</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/0009-0003-8248-233X</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Adiati</surname>
                        <given-names>Esti Cahyani</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Visualization</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/0009-0004-2469-5019</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sasri</surname>
                        <given-names>Cahyaning Wulan</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/">Investigation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sandra</surname>
                        <given-names>Popy</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/">Investigation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Soeroso</surname>
                        <given-names>Yuniarti</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/">Validation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Haerani</surname>
                        <given-names>Natalina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0472-4009</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bachtiar</surname>
                        <given-names>Boy Muchlis</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5286-2804</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Lessang</surname>
                        <given-names>Robert</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/">Validation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sulijaya</surname>
                        <given-names>Benso</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/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5976-430X</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Masulili</surname>
                        <given-names>Sri Lelyati C.</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/">Validation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tadjoedin</surname>
                        <given-names>Fatimah Maria</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/">Validation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Harsas</surname>
                        <given-names>Nadhia Anindhita</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/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3586-8788</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dashper</surname>
                        <given-names>Stuart</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Tadjoedin</surname>
                        <given-names>Ette Soraya Shahnaz</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/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0000-9892-6298</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Periodontology Residency Programme, Periodontology Department, Faculty of Dentistry, Universitas Indonesia, Central Jakarta, Jakarta, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Periodontology Department, Faculty of Dentistry, Universitas Indonesia, Central Jakarta, Jakarta, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Oral Biology Department, Faculty of Dentistry, Universitas Indonesia, Central Jakarta, Jakarta, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Melbourne Dental School, The University of Melbourne, Melbourne, Australia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ettesoraya@gmail.com">ettesoraya@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>8</day>
                <month>7</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>677</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>17</day>
                    <month>6</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Rachmasari R et al.</copyright-statement>
                <copyright-year>2025</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/14-677/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Periodontitis is a multifactorial inflammatory disease characterized by the destruction of tooth-supporting tissues. Proinflammatory markers such as IL-8, PGE2, and CRP play key roles in its pathogenesis and are also elevated in systemic conditions like COVID-19. Shared inflammatory pathways and increased ACE2 expression suggest a potential link between periodontitis and COVID-19. However, the long-term impact of COVID-19 on periodontal health remains unclear. This study aims to investigate the association between ACE2, IL-8, PGE2, CRP, and clinical periodontal parameters in individuals with and without a history of COVID-19.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A case-control study was conducted involving 47 participants from RSKGM FKG UI and Bhayangkara Hospital TK.I.R. Said Sukanto. Clinical parameters assessed included bleeding on probing (BOP), probing pocket depth (PPD), and clinical attachment loss (CAL). Gingival crevicular fluid (GCF) was collected to analyze ACE2, IL-8, PGE2, and CRP levels. Participants were grouped based on COVID-19 history, with strict inclusion criteria and statistical analysis using G*Power, SPSS, and GraphPad Prism.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>ACE2, CRP, and IL-8 levels were significantly higher in individuals with a history of COVID-19 (p = 0.000, p = 0.000, and p = 0.006, respectively), while PGE2 showed a non-significant trend (p = 0.065). No significant differences were observed in BOP, PPD, and CAL between groups. CRP levels were significantly elevated in both periodontitis and non-periodontitis groups with a COVID-19 history. Correlation analysis revealed significant associations between ACE2 and other biomarkers (IL-8, PGE2, CRP), as well as between IL-8 and clinical parameters (PPD, CAL).</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>This study indicates a correlation between elevated levels of ACE2, IL-8, PGE2, and CRP and the severity of periodontitis in individuals with a history of COVID-19. These findings emphasize the necessity for further research and periodontal care for patients with COVID-19 history.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Periodontitis</kwd>
                <kwd>COVID-19</kwd>
                <kwd>SARS-CoV-2</kwd>
                <kwd>Angiotensin-Converting Enzyme 2</kwd>
                <kwd>C-Reactive Protein</kwd>
                <kwd>Interleukin-8</kwd>
                <kwd>Prostaglandins E2</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100021726">
                    <funding-source>Hibah PUTI Q2 Universitas Indonesia</funding-source>
                    <award-id>GrantNumber:NKB-612/UN2.RST/HKP.05.00/2022</award-id>
                </award-group>
                <funding-statement>This research was supported by Hibah PUTI Q2 Universitas Indonesia under Grant Number: NKB-612/UN2.RST/HKP.05.00/2022.</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>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Periodontitis is a multifactorial disease caused by interactions between oral microorganisms and the host, leading to chronic inflammation and destruction of tooth-supporting tissues.
                <sup>
                    <xref ref-type="bibr" rid="ref12">1</xref>,
                    <xref ref-type="bibr" rid="ref13">2</xref>
                </sup> The Indonesian Ministry of Health&#x2019;s Basic Health Research (Riskesdas) 2018 data shows the prevalence of periodontitis is 74.1% in Indonesia, as determined by bleeding on probing (BOP), probing pocket depth (PPD), and clinical attachment loss (CAL).
                <sup>
                    <xref ref-type="bibr" rid="ref2">3</xref>
                </sup> Contributing factors to periodontitis include plaque, calculus, genetics, environment, systemic health, lifestyle, and smoking habits.
                <sup>
                    <xref ref-type="bibr" rid="ref12">1</xref>,
                    <xref ref-type="bibr" rid="ref8">4</xref>
                </sup> Periodontopathogens trigger an immune response that releases inflammatory mediators, causing soft tissue destruction and bone resorption. The upregulation of proinflammatory cytokines from monocytes and polymorphonuclear leukocytes, such as Interleukin-8 (IL-8) and Prostaglandin E2 (PGE2) play roles in this process.
                <sup>
                    <xref ref-type="bibr" rid="ref13">2</xref>,
                    <xref ref-type="bibr" rid="ref8">4</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref22">6</xref>
                </sup> PGE2 suppresses lymphocyte production, reducing collagen synthesis by fibroblasts and triggering osteoclast activity which can cause bone resorption.
                <sup>
                    <xref ref-type="bibr" rid="ref22">6</xref>
                </sup> Neutrophils, fibroblasts, macrophages, lymphocytes, and endothelial cells are among the cells in periodontal tissues that produce IL-8. Its primary role is to recruit other inflammatory cells to the infection site. IL-8 levels are elevated in individuals with chronic periodontitis and positively correlate with pocket depth and periodontal status.
                <sup>
                    <xref ref-type="bibr" rid="ref5">7</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref15">9</xref>
                </sup> Elevated IL-8 levels in inflamed periodontal tissues can induce hematologic responses, including elevated C-reactive protein (CRP) levels. Chronic inflammation may raise CRP expression by 25% or more. Compared to healthy individuals, periodontitis patients show higher CRP levels, which can be considered a marker for the connection between periodontitis and systemic disease.
                <sup>
                    <xref ref-type="bibr" rid="ref16">5</xref>,
                    <xref ref-type="bibr" rid="ref11">10</xref>,
                    <xref ref-type="bibr" rid="ref27">11</xref>
                </sup>
            </p>
            <p>Through systemic inflammation, the inflammatory responses in periodontitis and COVID-19 suggest a potential association. Systemic conditions, including hypertension, diabetes, cardiovascular diseases, chronic obstructive pulmonary disease, and autoimmune diseases, are risk factors for both COVID-19 and periodontitis.
                <sup>
                    <xref ref-type="bibr" rid="ref6">12</xref>,
                    <xref ref-type="bibr" rid="ref18">13</xref>
                </sup> Poor oral hygiene and periodontitis can further exacerbate inflammatory biomarkers and COVID-19 infection. Elevated ACE2 levels from periodontal pathogens may increase pro-inflammatory cytokines, supporting the hypothesis that periodontitis may contribute to COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref3">14</xref>,
                    <xref ref-type="bibr" rid="ref28">15</xref>
                </sup>
            </p>
            <p>While most patients recover fully from acute SARS-CoV-2 infection, studies suggest post-infection risks to the heart, lungs, liver, and other organs. Prolonged inflammation, immune dysregulation, disease progression, and ongoing cytokine release are among the potential consequences. Individuals with a history of COVID-19 showed significant differences in inflammatory markers, and COVID-19 survivors may face long-term effects from persistently elevated inflammatory markers. Compared to controls without a history of the disease, COVID-19 survivors have elevated levels of CRP, neutrophils, and fibrinogen, and their ACE2 levels persist for up to 114 days post-infection.
                <sup>
                    <xref ref-type="bibr" rid="ref9">16</xref>,
                    <xref ref-type="bibr" rid="ref20">17</xref>
                </sup>
            </p>
            <p>Despite prior research linking COVID-19 to periodontitis, the post-infection impact on periodontal tissue is unclear. Long-term inflammation in COVID-19-infected periodontitis patients has not been widely studied. In order to further understand the association between ACE2, IL-8, PGE2, CRP, and periodontitis clinical parameters in individuals with and without COVID-19, additional research is necessary.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Study design and population</title>
                <p>This case-control study included periodontitis patients (case group) and non-periodontitis individuals (control group), recruited from RSKGM FKG UI and Bhayangkara Hospital TK.I.R. Said Sukanto between February and July 2023. Prior to the beginning of the study, ethical approval was obtained for all protocols from the Ethics Committee of the Faculty of Dentistry at Universitas Indonesia (Approval Number: 90/Ethical Approval/FKGUI/X/2022, Protocol Number: 090640722), in accordance with national and international guidelines for research involving human participants. This approval ensured strict adherence to ethical standards, including the maintenance of participant anonymity.</p>
                <p>Participants aged 26 &#x2013; 45 years who were not currently infected with COVID-19 (as confirmed by an antigen test), had a history of positive PCR or antigen results, or had medical records indicating a positive SARS-CoV-2 result within the past 12 months were included. They must not have received periodontal treatment post-COVID-19 infection, had received at least two doses of a COVID-19 vaccine (Sinovac, Sinopharm, AstraZeneca, Moderna, Pfizer), were willing to participate. Before the commencement of the research, patient data were collected using a structured research questionnaire (provided as extended data).
                    <sup>
                        <xref ref-type="bibr" rid="ref30">18</xref>
                    </sup> Participants received both verbal and written explanations outlining the purpose and procedures of the study. Those who agreed to participate provided informed consent by signing a consent form (provided as extended data).
                    <sup>
                        <xref ref-type="bibr" rid="ref31">19</xref>
                    </sup>
                </p>
                <p>Exclusion criteria included pregnancy, smoking, systemic diseases (cardiovascular disease, diabetes mellitus, hematologic disorders, rheumatoid arthritis, HIV, or autoimmune diseases), recent hospitalization during their COVID-19 infection, recent use of antibiotics, immunosuppressants, anticonvulsants, calcium channel blockers, or anti-inflammatory drugs within the last three months, and edentulous individuals.</p>
            </sec>
            <sec id="sec8">
                <title>Clinical examination</title>
                <p>The study involved calibrated examiners (R.R., E.C.A., and C.W.S.) performing periodontal clinical examinations after subjects were rinsed with a 1% povidone-iodine solution. Oral hygiene, BOP, PPD, and CAL were assessed. A UNC-15 probe was inserted into six points on each tooth to measure BOP, PPD, and CAL. Periodontitis was diagnosed based on the European Federation of Periodontology (EFP) 2017 guidelines, characterized by CAL at interdentals on at least two non-adjacent teeth, or CAL of 3 mm or more at buccal or oral sites with a pocket depth greater than 3 mm on at least two teeth. Non-periodontitis was diagnosed according to the same guidelines, with the criteria being BOP less than 10% and PPD of 3 mm or less.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">20</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec9">
                <title>Gingival crevicular fluid sampling</title>
                <p>GCF samples were collected from the deepest pocket of each tooth after supragingival plaque removal and isolation. Sterile paper points were inserted for 30 seconds to absorb the GCF, then stored in an Eppendorf tube with 1000 &#x03bc;L PBS. The Bradford protein assay measured total protein concentration, while an ELISA kit (Bioenzy) quantified IL-8, PGE2, CRP, and ACE2 levels according to the manufacturer&#x2019;s protocol.</p>
            </sec>
            <sec id="sec10">
                <title>Study size</title>
                <p>The study used statistical software G*Power 3.1.9.7 for Windows to determine the sample size. A priori analysis was conducted using a two-tailed test, an effect size of 1.44, an &#x03b1; error probability of 0.05, and a power of 80%.
                    <sup>
                        <xref ref-type="bibr" rid="ref1">21</xref>
                    </sup> The minimum required sample size was 9 subjects for the case and control groups, resulting in 18 subjects for the study.</p>
            </sec>
            <sec id="sec11">
                <title>Statistical analysis</title>
                <p>Data were analyzed with SPSS version 26.0 (IBM Corp.) and GraphPad Prism 10 (GraphPad Software). Each variable was described by means, proportions, and standard deviations. ACE2, IL-8, CRP, PGE2, BOP scores, PPD, and CAL were compared between case and control groups using independent t-tests and the Mann-Whitney test. The relationships between ACE2, IL-8, PGE2, CRP, and clinical parameters (BOP, PPD, CAL) were examined using correlation analysis. Pearson&#x2019;s or Spearman&#x2019;s correlation tests were used depending on the data distribution. A p-value &lt;0.05 was considered statistically significant.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="results">
            <title>Results</title>
            <sec id="sec13">
                <title>The demographic data of the subjects</title>
                <p>The study involved 47 participants aged 25-44, with 27 in the case group and 20 in the control group (
                    <xref ref-type="table" rid="T1">
Table 1</xref>). Of these, 24 had no history of SARS-CoV-2 infection. Age, sex, COVID-19 history, and examination interval were similar between the groups (p = 0.430, p = 0.726, p = 0.177, p = 0.578, respectively). However, there was a significant difference in oral hygiene status between the groups (p = 0.001), with the test group having a higher proportion of patients with fair and poor oral hygiene compared to the control group (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Demographic variables of case and control groups.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Subject</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Periodontitis (n = 27)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Non-periodontitis (n = 20)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">P</italic> value</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age median (min &#x2013; max)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29 (25 &#x2013; 44)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30 (26 &#x2013; 42)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.430
                                    <xref ref-type="table-fn" rid="tfn2">
                                        <sup>a</sup>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sex (n/%)</td>
                                <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">&#x2003;Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20 (74.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13 (65)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.726
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (25.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (35)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Oral hygiene (n/%)</td>
                                <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">&#x2003;Good</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8 (29.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17 (85)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.001</bold>
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>

                                            <bold>b</bold>
                                        </sup>
                                    </xref>
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Fair</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18 (66.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (15)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Poor</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1 (3.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0 (0)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 history (n/%)</td>
                                <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">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11 (40.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13 (65)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.177
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16 (59.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (35)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Examination interval with COVID-19 infected (n%)</td>
                                <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">&#x2003;&#x2264;6 months</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (18.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0 (0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.578
                                    <xref ref-type="table-fn" rid="tfn3">
                                        <sup>b</sup>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&gt;6 months</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13 (81.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (100)</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>Statistically significant at p &lt; 0.05. P value was obtained using:</p>
                            </fn>
                            <fn id="tfn2">
                                <label>
                                    <sup>a</sup>
                                </label>
                                <p>Mann-Whitney test,</p>
                            </fn>
                            <fn id="tfn3">
                                <label>
                                    <sup>b</sup>
                                </label>
                                <p>Chi-square test.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec14">
                <title>Comparison of inflammatory biomarkers between subjects with and without a history of COVID-19</title>
                <p>The ACE2 levels of the 23 subjects with and 24 subjects without a history of COVID-19 showed a statistically significant difference (p = 0.000) (
                    <xref ref-type="fig" rid="f1">
Figure 1a</xref>). Those with a history of COVID-19 had higher ACE2 levels (5.50 &#x00b1; 1.63 ng/l) compared to those without a history of COVID-19 (3.78 &#x00b1; 1.28 ng/l). Similarly, the COVID-19 history group had significantly higher CRP levels (11.32 &#x00b1; 3.23 ng/mL) than the non-COVID-19 group (8.16 &#x00b1; 2.27 ng/mL) (p = 0.000). IL-8 levels were also significantly higher in the groups with a history of COVID-19 (144.81 &#x00b1; 48.99 ng/ml) compared to those without (107.80 &#x00b1; 38.41 ng/ml) (p=0.006). For PGE2, although the group with a history of COVID-19 showed higher levels (22.77 &#x00b1; 22.54 pg/ml) compared to those without a history of COVID-19 (10.82 &#x00b1; 10.75 pg/ml), this difference did not reach statistical significance (p = 0.065) (
                    <xref ref-type="fig" rid="f1">
Figure 1a</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Comparison of ACE2, IL-8, CRP and PGE2 Levels.</title>
                        <p>a) Between COVID-19 History and No COVID-19 History Groups; b) Between Periodontitis and Non-Periodontitis Groups Based on COVID-19 History.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/180735/cd83adc8-75bf-44db-a85d-e4d3637b0b0e_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec15">
                <title>Comparison of clinical periodontal parameters between subjects with and without a history of COVID-19</title>
                <p>No statistically significant differences in clinical periodontal parameters were observed between groups with and without a history of COVID-19 (
                    <xref ref-type="fig" rid="f2">
Figure 2a</xref>). The mean BOP was higher in the group with a history of COVID-19 (24.63 &#x00b1; 18.94) compared to the group without a history of COVID-19 (17.69 &#x00b1; 15.83), but this difference was not statistically significant (p = 0.191). Similarly, PPD was slightly higher in the COVID-19 group (4.17 &#x00b1; 1.56) compared to the non-COVID-19 group (3.83 &#x00b1; 1.27), but the difference was not significant (p = 0.466). In addition, CAL was higher in the COVID-19 group (2.61 &#x00b1; 2.08) compared to the non-COVID-19 group, but this difference did not reach statistical significance (p = 0.249).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Comparison of BOP, PPD and CAL Mean Scores.</title>
                        <p>a) Between Groups Based on COVID-19 History; b) Between Periodontitis and Non-Periodontitis Groups Based on COVID-19 History.</p>
                        <p>

                            <bold>Abbreviations:</bold> BOP = Bleeding on Probing; PPD = probing pocket depth; CAL = clinical attachment level.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/180735/cd83adc8-75bf-44db-a85d-e4d3637b0b0e_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec16">
                <title>Analysis of inflammatory biomarkers in periodontitis and non-periodontitis groups based on COVID-19 history</title>
                <p>Subjects with a history of COVID-19 in the periodontitis group had higher ACE2 levels (5.18 &#x00b1; 1.67 ng/l) than those without a history of COVID-19 (3.95 &#x00b1; 1.53 ng/l), although this difference was not statistically significant (p = 0.061) (
                    <xref ref-type="fig" rid="f1">
Figure 1b</xref>). However, in the non-periodontitis group, there was a statistically significant difference (p = 0.000) in ACE2 levels between subjects with a history of COVID-19 (6.20 &#x00b1; 1.43 ng/l) and those without (3.65 &#x00b1; 1.09 ng/l).</p>
                <p>The mean IL-8 levels were higher in the periodontitis group with a history of COVID-19 (148.72 &#x00b1; 44.80 ng/ml) compared to the group without a history of COVID-19 (124.02 &#x00b1; 36.50 ng/ml), but no statistically significant difference was found (p = 0.143). Similarly, in the non-periodontitis group, there was an increase in mean IL-8 levels in the group with a history of COVID-19 (135.85 &#x00b1; 60.40 ng/ml), but there was no statistically significant difference (p = 0.143) (
                    <xref ref-type="fig" rid="f1">
Figure 1b</xref>).</p>
                <p>Both the periodontitis and non-periodontitis groups showed statistically significant differences in CRP levels (
                    <xref ref-type="fig" rid="f1">
Figure 1b</xref>). In the periodontitis group, subjects with a history of COVID-19 had significantly higher CRP levels (11.50 &#x00b1; 3.40 ng/mL) than subjects without a history of COVID-19 (8.41 &#x00b1; 2.26 ng/mL) (p = 0.014). The non-periodontitis group also appeared to have higher CRP levels in subjects with a history of COVID-19 (10.93 &#x00b1; 3.03 ng/ml) compared to subjects without a history of COVID-19 (7.95 &#x00b1; 2.35 ng/ml) (p = 0.025).</p>
                <p>The mean PGE2 showed a higher trend in the group with a history of COVID-19 compared to the group without one (
                    <xref ref-type="fig" rid="f1">
Figure 1b</xref>). In the periodontitis group, the mean PGE2 in the group with a history of COVID-19 (24.04 &#x00b1; 22.28 pg/ml) was higher than that without a history of COVID-19 (9.06 &#x00b1; 10.19 pg/ml), but there was no statistically significant difference. In the same way, there was a trend toward higher mean PGE2 in the group with a history of COVID-19 (19.89 &#x00b1; 24.67 pg/ml) than in the group without a history of COVID-19 (12.87 &#x00b1; 11.23 pg/ml), but the difference was not statistically significant.</p>
            </sec>
            <sec id="sec17">
                <title>Association between ACE2 with IL-8, PGE2, and CRP</title>
                <p>Analysis of the association between ACE2 levels in GCF showed significant positive correlations with the inflammatory biomarkers IL-8, PGE2, and CRP as determined using Spearman&#x2019;s correlation test (
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Correlation between ACE2 levels with IL-8, PGE2 and CRP.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">IL</italic>-8 (ng/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PGE2 (pg/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">CRP</italic> (ng/mL)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">
                                    <italic toggle="yes">ACE2</italic> (ng/l)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">r</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.376</bold>
                                    <xref ref-type="table-fn" rid="tfn4">

                                        <bold>*</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.336</bold>
                                    <xref ref-type="table-fn" rid="tfn4">

                                        <bold>*</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.631</bold>
                                    <xref ref-type="table-fn" rid="tfn4">

                                        <bold>*</bold>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">p</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.009</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.021</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Spearman correlation test.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn4">
                                <label>*</label>
                                <p>Statistically significant. r = &#x00b1;1: linear relationship, r = 0: no linear relationship, r &lt; 0: negative relationship, r &gt; 0: positive relationship.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec18">
                <title>Comparison of clinical parameters</title>
                <p>The periodontitis and non-periodontitis groups show a statistically significant difference in mean BOP and PPD scores (p = 0.000) (
                    <xref ref-type="fig" rid="f2">
Figure 2b</xref>). Furthermore, there was no statistically significant difference in mean BOP scores (p = 0.767) between the periodontitis group with COVID-19 history (32.82 &#x00b1; 17.00) and without COVID-19 history (30.70 &#x00b1; 14.83). A similar result is observed in the non-periodontitis group, where no statistically significant difference is found (p = 0.438). The mean BOP scores for the control group with COVID-19 history were 5.90 &#x00b1; 2.34%, while the group without COVID-19 history was 6.68 &#x00b1; 3.25% (
                    <xref ref-type="fig" rid="f2">
Figure 2b</xref>).</p>
            </sec>
            <sec id="sec19">
                <title>Association between inflammatory biomarkers and clinical parameters of periodontitis</title>
                <p>Spearman&#x2019;s correlation test was used to investigate the correlation between inflammatory biomarkers and clinical parameters of periodontitis. 
                    <xref ref-type="table" rid="T3">
Table 3</xref> shows statistically significant positive correlations between IL-8 and PPD (r = 0.291) and between IL-8 and CAL (r = 0.331).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Correlation between IL-8, PGE2, CRP and ACE2 with periodontitis clinical parameters (BOP, PPD and CAL).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="2" rowspan="2" valign="top">Inflammatory biomarkers</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Periodontitis clinical parameters</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">BOP (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PPD (mm)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
CAL (mm)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">IL-8 (ng/ml)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">r</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.251</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.291</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.331</bold>
</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">p</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.089</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.047</bold>
                                    <xref ref-type="table-fn" rid="tfn5">

                                        <bold>*</bold>
                                    </xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>0.023</bold>
                                    <xref ref-type="table-fn" rid="tfn5">

                                        <bold>*</bold>
                                    </xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">PGE2 (pg/ml)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">r</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.055</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.069</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.067</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">p</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.714</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.645</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.654</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">CRP (ng/ml)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">r</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.005</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.169</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.127</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">p</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.972</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.257</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.396</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">ACE2 (ng/l)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">r</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-0.019</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.134</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.054</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">p</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.897</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.369</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.716</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Spearman correlation test.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn5">
                                <label>*</label>
                                <p>Statistically significant. r = &#x00b1;1: linear relationship, r = 0: no linear relationship, r &lt; 0: negative relationship, r &gt; 0: positive relationship.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec20" sec-type="discussion">
            <title>Discussion</title>
            <p>This case-control study analyzed associations between ACE2, IL-8, PGE2 and CRP levels in GCF and clinical periodontitis characteristics in individuals with or without a history of COVID-19, with all participants having received at least two doses of a COVID-19 vaccine. GCF, a serum exudate that flows into the gingival sulcus, contains immune response components that are important in preventing tissue invasion by subgingival plaque bacteria. Its protein composition reflects the health status of periodontal tissues and has been widely utilized to explore the bidirectional relationship between oral and systemic diseases.
                <sup>
                    <xref ref-type="bibr" rid="ref4">22</xref>
                </sup>
            </p>
            <p>Consistent with Patel et al.&#x2019;s findings of elevated plasma ACE2 levels post-COVID-19 infection, ACE2 expression was higher in individuals with a history of COVID-19 (
                <xref ref-type="fig" rid="f1">
Figure 1a</xref>). The exact cause and pathophysiology of these findings after COVID-19 infection is still unknown, but there are several possible mechanisms by which ACE2 can affect inflammation in SARS-CoV-2 infection.
                <sup>
                    <xref ref-type="bibr" rid="ref20">17</xref>
                </sup> Apart from being a receptor that facilitates viral infection, ACE2 also acts as a regulator of the renin-angiotensin system (RAAS). In conjunction with other enzymes and receptors it forms the angiotensin-converting enzyme 2-angiotensin 1-7-Mas receptor (ACE2-Ang1-7-MasR), which can downregulate inflammatory responses, block oxidative stress, and reduce hypertension, among other functions. When the ACE2 receptor interacts with SARS-CoV-2, an association occurs that potentially decreases ACE2 levels on the cell surface.
                <sup>
                    <xref ref-type="bibr" rid="ref17">23</xref>
                </sup> The higher levels of ACE2 in the group with a history of COVID-19 in this study indicate the regulation of the anti-inflammatory process through the formation of ACE2-Ang1-7-MasR. Another study by Sousa et al. related to ACE2 polymorphisms found that increased ACE2 levels could be a protective physiological mechanism affecting the outcome of COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref26">24</xref>
                </sup> This increase can also be found in subjects with no history of COVID-19 who have received the COVID-19 vaccine.</p>
            <p>A statistically significant difference in IL-8 levels between subjects with and without a history of COVID-19 was observed, with higher levels in those with a history of COVID-19 (
                <xref ref-type="fig" rid="f1">
Figure 1b</xref>). This is consistent with the results of Phetsouphanh et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref21">25</xref>
                </sup> who observed that IL-8 levels were elevated following COVID-19 infection, but they decreased after eight months. The substantial discrepancy in our study underscores the potential for a persistent increase in IL-8 levels following infection; however, additional research is required to comprehend the changes in IL-8 over prolonged periods.</p>
            <p>In subjects with a history of COVID-19, CRP levels in GCF were significantly elevated, consistent with the findings of Gameil et al., who reported persistent inflammation following COVID-19 infection as indicated by elevated CRP levels in plasma.
                <sup>
                    <xref ref-type="bibr" rid="ref9">16</xref>
                </sup> PGE2 levels appear to be higher in individuals with a history of COVID-19 than in those without, although the difference was not significant (
                <xref ref-type="fig" rid="f1">
Figure 1a</xref>). This is consistent with the findings of Ricke-Hoch et al, who observed elevated PGE2 levels in COVID-19 patients.
                <sup>
                    <xref ref-type="bibr" rid="ref23">26</xref>
                </sup> PGE2 is believed to have two functions: it promotes the immune response during the inflammatory phase and inhibits the production of inflammatory cytokines during the resolution phase.
                <sup>
                    <xref ref-type="bibr" rid="ref25">27</xref>
                </sup> The nonsignificant results in our study may be due to sampling at least 6 months after the time of infection. Interestingly, although there was a large variation in levels, five individuals had very high levels, indicating that PGE2 levels may remain high in a subset of the population for extended periods after infection (
                <xref ref-type="fig" rid="f1">
Figure 1a</xref>).</p>
            <p>The significant difference in ACE2 levels between groups with and without a history of COVID-19 indicates the relationship between COVID-19 history and ACE2 levels. The inflammatory markers IL-8, PGE2, and CRP showed positive correlations with ACE2 levels (
                <xref ref-type="table" rid="T2">
Table 2</xref>), suggesting that elevated ACE2 levels are associated with elevated levels of these markers.</p>
            <p>The non-significant differences in IL-8 levels between the periodontitis groups with and without a history of COVID-19 may be related to this positive correlation. SARS-CoV-2 infection may regulate pro- and anti-inflammatory processes by altering ACE2 levels, thereby balancing cytokine expression through the ACE2-Ang1-7-MasR pathway. Higher ACE2 levels in the COVID-19 history group may affect the production and response of IL-8, which has anti-inflammatory effects through the formation of angiotensin 1-7.
                <sup>
                    <xref ref-type="bibr" rid="ref7">28</xref>
                </sup> Furthermore, the significant differences observed in the non-periodontitis group with and without a history of COVID-19 could be explained by the fact that ACE2 and CRP are positively correlated, which means that there is systemic inflammation even when there isn&#x2019;t any local periodontal inflammation.</p>
            <p>Patients with and without a history of COVID-19 did not exhibit any significant differences in the clinical parameters of periodontal disease (BOP, PPD, and CAL) in this study (
                <xref ref-type="fig" rid="f2">
Figure 2a</xref> and 
                <xref ref-type="fig" rid="f2">2b</xref>). These findings contrast with previous research that indicated a correlation between the severity of acute COVID-19 infection and the clinical parameters of periodontal disease. For instance, Gupta et al. found a significant association between the severity of COVID-19 and clinical periodontal parameters. Specifically, higher scores of BOP, PPD, and CAL were significantly related to COVID-19 complications.
                <sup>
                    <xref ref-type="bibr" rid="ref10">29</xref>
                </sup> This discrepancy may be due to the period between the COVID-19 infection and the periodontal evaluation being generally greater than six months. The influence of COVID-19 infection on periodontal tissues may be transient and not significant following recovery.</p>
            <p>There was a positive relationship between the clinical parameters PPD and CAL and IL-8 levels (
                <xref ref-type="table" rid="T3">
Table 3</xref>). This is in line with previous research that showed that IL-8 levels rise when periodontal tissue conditions get worse.
                <sup>
                    <xref ref-type="bibr" rid="ref8">4</xref>
                </sup> On the other hand, the absence of correlation between PGE2, CRP levels, and clinical parameters contrasts with the findings of Gupta et al. and Sanchez et al. previous research, which indicated that patients with COVID-19 exhibited elevated CRP levels along with worsening periodontal conditions.
                <sup>
                    <xref ref-type="bibr" rid="ref10">29</xref>,
                    <xref ref-type="bibr" rid="ref24">30</xref>
                </sup> This finding may be attributed to the influence of COVID-19 history through the regulation of the RAS system and systemic inflammatory response, which could potentially influence CRP levels independently of local periodontal conditions.</p>
        </sec>
        <sec id="sec21">
            <title>Ethical considerations</title>
            <p>The study was approved by the Ethics Committee of the Faculty of Dentistry at Universitas Indonesia (Approval Number: 90/Ethical Approval/FKGUI/X/2022, Protocol Number: 090640722), ensuring strict anonymity for all participants. Participants received both verbal and written explanations outlining the purpose and procedures of the study. Those who agreed to participate provided informed consent by signing a consent form.</p>
        </sec>
    </body>
    <back>
        <sec id="sec26" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec27">
                <title>Underlying data</title>
                <p>Figshare: Research Data (Associations between Inflammatory Biomarkers, Clinical Parameters of Periodontitis, and COVID-19 History) 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.29148179">https://doi.org/10.6084/m9.figshare.29148179</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref29">31</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec28">
                <title>Extended data</title>
                <p>

                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Figshare: Research Questionnaire (Associations between Inflammatory Biomarkers, Clinical Parameters of Periodontitis, and COVID-19 History) 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.29148176">https://doi.org/10.6084/m9.figshare.29148176</ext-link>
                                <sup>
                                    <xref ref-type="bibr" rid="ref30">18</xref>
                                </sup>
                            </p>
                        </list-item>
                    </list>
                </p>
                <p>

                    <list list-type="order">
                        <list-item>
                            <label>2.</label>
                            <p>Figshare: Informed Consent (Associations between Inflammatory Biomarkers, Clinical Parameters of Periodontitis, and COVID-19 History) 
                                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.29148182">https://doi.org/10.6084/m9.figshare.29148182</ext-link>
                                <sup>
                                    <xref ref-type="bibr" rid="ref31">19</xref>
                                </sup>
                            </p>
                        </list-item>
                    </list>
                </p>
                <p>This project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Research Questionnaire. (Structured form used to collect participant&#x2019;s demographic information, medical and COVID-19 history, smoking status, oral hygiene practices, and dental visit history).</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Informed Consent. (Participant information sheet and consent form explaining the objectives, procedures, potential risks, benefits, and confidentiality in the study).</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
            <sec id="sec23">
                <title>Reporting guidelines</title>
                <p>The reporting of this study adheres to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) statement.</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors also want to thank Oral Biology Laboratories supervisor and staff for their valuable support throughout the study.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report398192">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.180735.r398192</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Isola</surname>
                        <given-names>Gaetano</given-names>
                    </name>
                    <xref ref-type="aff" rid="r398192a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4267-6992</uri>
                </contrib>
                <aff id="r398192a1">
                    <label>1</label>University of Catania, Catania, Italy</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>5</day>
                <month>11</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Isola G</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport398192" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.164258.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>In the manuscript entitled: &#x201c;Associations between Inflammatory Biomarkers, Clinical Parameters of Periodontitis, and COVID-19 History" the author aimed to assess the association between ACE2, IL-8, PGE2, CRP, and clinical periodontal parameters in individuals with and without a history of COVID-19.</p>
            <p> The author found that there was a correlation between elevated levels of ACE2, IL-8, PGE2, and CRP and the severity of periodontitis in individuals with a history of COVID-19. These findings emphasize the necessity for further research and periodontal care for patients with COVID-19 history.</p>
            <p> </p>
            <p> Major comments:</p>
            <p> In general, the idea and innovation of this study regards the analysis of the link between mediators and periodontitis is interesting and novel because the role these aspects in medicine are validated but further studies on this topic could be an innovative issue in this field could be open a creative matter of debate in literature by adding new information. Moreover, there are few reports in the literature that studied this interesting topic with this kind of study design.</p>
            <p> The study was well conducted by the authors; However, there are some concerns to revise that are described below.</p>
            <p> The introduction section resumes the existing knowledge regarding the important factor linked with the relationship between periodontitis and related mediators.</p>
            <p> However, as the importance of the topic, the reviewer strongly recommends, before a further re-evaluation of the manuscript, to update the literature through read, discuss and cites in the references with great attention all of those recent interesting articles, that helps the authors to better introduce and discuss the relationship and impact of chlorexidine and systemic health on oral and periodontal tissues mediators: 1) [Reference 1]. PMID: 39775963 2) [Reference 2] PMID: 39865359</p>
            <p> The authors should be better specified, at the end of the introduction section, the rationale of the study and the aim of the study. In the central section, should better clarify inclusions and exclusions criteria of the selected sample.</p>
            <p> Please better state the results obtained in the abstract.</p>
            <p> The discussion section appears well organized with the relevant paper that support the conclusions, even if the authors should better discuss the relationship regarding the by periodontitis in and risk of oxidative stress evolution linked with inflammation. The conclusion should reinforce in light of the discussions.</p>
            <p> In conclusion, I am sure that the authors are fine clinicians who achieve very nice results with their adopted protocol. However, this study, in my view does not in its current form satisfy a very high scientific requirement for indexing in this journal and requests a revision before a futher re-evaluation of the manuscript.</p>
            <p> </p>
            <p> Minor Comments:</p>
            <p> </p>
            <p> Abstract: 
                <list list-type="bullet">
                    <list-item>
                        <p>Better formulate the abstract section by better describing the aim of the study</p>
                    </list-item>
                </list> </p>
            <p> Introduction: 
                <list list-type="bullet">
                    <list-item>
                        <p>Please refer to major comments</p>
                    </list-item>
                </list> </p>
            <p> Discussion 
                <list list-type="bullet">
                    <list-item>
                        <p>Please add a specific sentence that clarifies the results obtained in the first part of the discussion</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>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>No</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>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Dentistry</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>
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