<?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.128842.1</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>Association between polymorphisms within the gene coding for tumor necrosis factor (TNF)-alpha with outcomes of treatment in a sample of Iraqi patients with ankylosing spondylitis taking etanercept: an observational study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Saleh Khudhur</surname>
                        <given-names>Shaimaa</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Saadi Saleh</surname>
                        <given-names>Eman</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hadi Alosami</surname>
                        <given-names>Mohammed</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/">Software</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/0000-0001-8521-5876</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>G. Shareef</surname>
                        <given-names>Laith</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7773-8474</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Clinical Pharmacy, University of Baghdad, College of Pharmacy, Baghdad, 10011, Iraq</aff>
                <aff id="a2">
                    <label>2</label>Department of Clinical Laboratory Sciences, University of Baghdad, College of Pharmacy, Baghdad, 10011, Iraq</aff>
                <aff id="a3">
                    <label>3</label>Department of Rheumatology, University of Baghdad, College of Medicine, Baghdad, 10011, Iraq</aff>
                <aff id="a4">
                    <label>4</label>Department of Pharmacy, Al-Rasheed University College, Baghdad, 10011, Iraq</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:Laithalkunani@yahoo.com">Laithalkunani@yahoo.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>12</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1576</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>16</day>
                    <month>12</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Saleh Khudhur S 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/11-1576/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Ankylosing spondylitis (AS) is a progressive, chronic inflammatory illness with an unclear etiology that explicitly targets the vertebral column, peripheral joints, and extraarticular tissues. The purpose of this research was to investigate if the existence of single nucleotide polymorphisms (SNPs) in the promoter region of the tumor necrosis factor-alpha (TNF-&#x03b1;) gene at positions -1031T/C (rs199964), -857C/T (rs1799724) and -806C/T (rs4248158) in a sample of Iraqi AS patients could influence the patients' outcomes with etanercept.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>Sixty patients with established AS receiving only etanercept were selected to enroll in this study, with a mean age of 40.75&#x00b1;8.67 years; 51 patients were male. Patients were classed as &#x201c;responders&#x201d; if they obtained a 
                        <italic toggle="yes">Bath Ankylosing Spondylitis Disease Activity Index</italic> (BASDAI) 50 clinical response and as "non-responders" if they did not achieve a BASDAI 50 clinical improvement after at least six months of treatment. After polymerase chain reaction (PCR) product amplification of the purified blood DNA, the promoter region of TNF-&#x03b1; gene SNPs was established by Sanger sequencing.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>This research found a significant difference in the TT genotype of rs1799964, P = 0.02, in the responder group, in contrast to the TC genotype of rs1799964, which was significantly more frequent in the non-responder group, P = 0.01. The wild TT genotype of rs1799964 seemed to enhance the probability of being a responder. Nevertheless, the heterozygote TC genotype of rs1799964 showed a negative and significant correlation for responsiveness to etanercept.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>The TT genotype of rs1799964 is associated with a higher likelihood of responding to ETN, suggesting that it is a valuable diagnostic for predicting response in Iraqi AS patients.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>ankylosing spondylitis</kwd>
                <kwd>genetic polymorphism</kwd>
                <kwd>TNF-&#x03b1;</kwd>
                <kwd>SNPs</kwd>
                <kwd>etanercept</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <title>Expression of Concern</title>
            <p>Expression of Concern (20
                <sup>th</sup> October 2023): We, the Publisher and Editor of F1000Research, are issuing an Expression of Concern for the following article:</p>
            <p>Saleh Khudhur S, Saadi Saleh E, Hadi Alosami M and G. Shareef L. Association between polymorphisms within the gene coding for tumor necrosis factor (TNF)-alpha with outcomes of treatment in a sample of Iraqi patients with ankylosing spondylitis taking etanercept: an observational study [version 1; peer review: awaiting peer review]. F1000Research 2022, 11:1576 (
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.12688/f1000research.128842.1">https://doi.org/10.12688/f1000research.128842.1</ext-link>)</p>
            <p>After publication of this article, questions about the integrity of the ethical approval were brought to the attention of the F1000 Editorial Team. We have reached out to the authors requesting that they respond to the concerns raised and provide additional information to support the integrity of the content. However, despite multiple attempts to contact the authors, and their institution, they have not responded to our queries within the requested timeframe. Therefore, as we continue to work through the issues raised, we advise readers to interpret the information presented in the article with due caution. The authors have been sent notification about this Expression of Concern.</p>
            <sec>
                <title>Editorial note</title>
                <p content-type="editor-note">Editorial Note (13
                    <sup>th</sup> July 2023): Since publication, concerns have been raised to the Editorial Team regarding the ethical approval for this study, as well as overlap in the sample and methods to other papers by these authors. The Editorial Team requested explanations regarding the similarities on 19
                    <sup>th</sup> May and 6
                    <sup>th</sup> June 2023, and the institution was contacted on 21
                    <sup>st</sup> March, 6
                    <sup>th</sup> April and 25
                    <sup>th</sup> April 2023 to verify the ethical approval. Neither the author nor institution have provided responses to our requests. The Editorial Team will update this Editorial Note as the situation progresses. Peer review activity has been suspended for this article until we receive an explanation from the authors/institution.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Ankylosing spondylitis (AS) is a progressive, chronic inflammatory illness with an unclear etiology
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Prolonged inflammation can cause vertebral fusion, which may result in immobility
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Clinically, the sickness manifests as pain and increasing rigidity of the spine
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. The hallmarks of AS are inflammation of the sacroiliac joints (SIJ) and spine
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. AS is directly proportional to the prevalence of human leukocyte antigen (HLA)-B27 in a given population, and has been estimated to range between 0.1 and 1.4% in various parts of the world
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>. In Iraq, the estimated frequency of AS is 0.9 per 100,000, while HLA-B27 positivity was elicited in 55% of the population investigated
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. In Arab people, between 2% and 5% of individuals are HLA-B27 positive, which is prevalent in 64% of AS patients
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. TNF-&#x03b1; is a highly potent pro-inflammatory molecule and a critical component of the immune system's signaling cascade that is strongly activated in response to infection or tissue injury. Patients with AS, in particular, respond well to TNF antagonist therapy
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Etanercept (ETN) has been examined in various rheumatologic disorders
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. ETN is the only soluble TNF receptor the Food and Drug Administration (FDA) has licensed for therapeutic use. It is typically administered in weekly doses of 50 mg subcutaneously (or 25 mg twice weekly), either by self-injection or by a caregiver
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>.</p>
            <p>Since the promoter region of the TNF-&#x03b1; gene would seem to be remarkably polymorphic, genetic variation is one of the most significant factors in the response
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. In contrast to numerous aspects that could potentially influence or change the ETN response, genetic manifestations do not change during a patient's lifetime
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. Consequently, polymorphism testing assists in dividing individuals with just a high response from those with an inappropriate or poor response. Accordingly, early identification of individuals who would not adhere to biological treatments allows a quicker transfer to another type of medicine, increasing the patient's likelihood of achieving therapeutic purposes more quickly
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. The goal of pharmacogenomic and pharmacogenetic research is to use available knowledge about gene variants that influence the medication response to develop personalized treatment methods that enhance therapeutic effectiveness and safety
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. Numerous single nucleotide polymorphisms (SNPs), primarily in the TNF promoter, are susceptible to rheumatoid arthritis (RA) and spondyloarthritis, and related to tumor necrosis factor inhibitor (TNFi) response. Genetic variations in cytokine genes may affect cytokine gene transcription and secretion, modulating cardiovascular disease development risk
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>. In addition, these promoter SNPs are thought to contribute to treatment responses by modifying TNF gene expression
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. Identifying pharmacogenetic markers, enabling treatment only for those patients who will respond without the risk of unwanted effects, would considerably improve treatment efficacy and reduce expenses
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. Previous studies have not examined the impact of the rs4248158C/T polymorphism on AS patients' response to ETN. No prior research has been conducted in Iraq to explore the influence of SNPs within the TNF-&#x03b1; promoter region upon the propensity to respond to ETN in AS patients. This current research study aimed to determine whether the presence of SNPs in the promoter region of the TNF-&#x03b1; gene at positions -1031T/C (rs199964), -857C/T (rs1799724), and -806C/T (rs4248158) in a sample of Iraqi AS patients could influence the patients' outcomes with ETN.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Ethical considerations</title>
                <p>The research ethics committee approval (approval number: RECACPUB-3102020D) was obtained from the Scientific and Ethical Committee at the College of Pharmacy, Baghdad University, Iraq. This research was conducted in line with the Helsinki Declaration
                    <sup>
                        <xref ref-type="bibr" rid="ref-18">18</xref>
                    </sup>. Before data collection, written consent was obtained from each of the participants.</p>
            </sec>
            <sec>
                <title>Study design</title>
                <p>An observational study was carried out using a suitable convenient sample of 60 Iraqi patients who were determined to have AS in accordance with the modified New York Criteria
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Setting</title>
                <p>The participants in this study were recruited from the Rheumatology Unit of Baghdad Teaching Hospital at Medical City in Baghdad, Iraq. From January to December 2021, all patients were evaluated and treated by a rheumatology specialist, and 76 patients with established AS were receiving only an ETN prefilled pen containing 50mg manufactured by Pfizer Company given by subcutaneous injection once a week. A total of 95 participants were selected to enroll in the study. However, only 60 subjects met the study's participation criteria, with a mean age of 40.75&#x00b1;8.67 years; 51 patients of them were male, and only nine patients were female.</p>
            </sec>
            <sec>
                <title>Variables</title>
                <p>A 50% improvement in disease activity score (Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) 50) was defined as a response to therapy
                    <sup>
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>; patients were classed as &#x201c;responders&#x201d; if they obtained a BASDAI 50 clinical response and as &#x201c;non-responders&#x201d; if they did not achieve a BASDAI 50 clinical improvement.</p>
            </sec>
            <sec>
                <title>Sample size</title>
                <p>The number of subjects was determined using the G*Power program (RRID: SCR 013726) edition 3.1.9.7. The size of the sample has to be a minimum of 59 individuals with a 95% confidence interval, 90% power, a two-tailed alpha of 0.05, and an effect size of 0.40 (f).</p>
            </sec>
            <sec>
                <title>Eligibility criteria</title>
                <p>Patients age 18 and above who had been diagnosed with AS using the modified New York criteria
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>
                    </sup> and had been taking ETN for at least six months, without a history of missed doses.</p>
            </sec>
            <sec>
                <title>Exclusion criteria</title>
                <p>Patients with coexisting other connective tissue conditions, recurring infectious diseases, cancer, hepatic or renal dysfunction, endocrine system inadequacies, hematological and cardiovascular diseases, or multiple sclerosis, any patient who has been taking ETN for less than six months, and any patient taking disease-modifying antirheumatic drugs (DMARDs) in addition to ETN. In addition, any patient with insufficient data was eliminated.</p>
            </sec>
            <sec>
                <title>Bias</title>
                <p>Sampling flaws may arise during the research sample selection process. This is most noticeable in retrospectively longitudinal studies, when individuals' exposures and results have already happened before they are included. Nevertheless, sampling error is much less likely since the result is unknown at the time of enrollment. The ideal study population is well-defined, easily accessible, trustworthy, and capable of producing the needed results. To avoid bias, participants were recruited so that no age group or gender was preferred over others. We considered demographics and other information about participants (and nonparticipants) to help us adjust overall conclusions.</p>
            </sec>
            <sec>
                <title>Data collection</title>
                <p>Demographic data (such as age, weight, height, disease duration, smoking status, family history, presence of extraarticular manifestations (such as psoriasis, inflammatory bowel disease, uveitis, and osteoporosis) and ETN side effects) were obtained through direct interviews with patients utilizing a patient records sheet specially designed for this research project. The body mass index (BMI) was computed by dividing the weight in kilograms by the square height in meters
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Blood sample collection and preparation of specimens</title>
                <p>For DNA extraction, 2 ml of the obtained blood specimen was transformed into an EDTA tube.</p>
            </sec>
            <sec>
                <title>Clinical evaluation</title>
                <p>A direct interview was performed with all patients in this study to evaluate disease manifestations, symptoms, medical history, and laboratory findings. In addition, the patient&#x2019;s disease activity was assessed by calculating BASDAI and Bath Ankylosing Spondylitis Functional Index (BASFI).</p>
            </sec>
            <sec>
                <title>DNA extraction</title>
                <p>The Promega ReliaPrep&#x2122; System for Genomic DNA (Promega Corp., USA) provides a practical approach for extracting DNA from blood samples. Enzymatic amplification was accomplished using a hybrid thermal cycler and conventional polymerase chain reaction (PCR).</p>
            </sec>
            <sec>
                <title>The primers</title>
                <p>The DNA sequences of the TNF-&#x03b1; gene were obtained from the GenBank database of NCBI. Primer Premier 3 software (RRID:SCR_003139) was utilized to generate PCR primers, as shown in 
                    <xref ref-type="table" rid="T1">Table 1</xref>, with a primer length of (21to20) nucleotides and a melting temperature of (60&#x00b0;C). As a result, the PCR amplicon length of the TNF-&#x03b1; gene was (949) base pairs (bp).</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>The sequences, annealing temperature, and product size (bp) of the primers.Note: F means the forward primer, and R is the reverse primer.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top"/>
                                <th align="center" colspan="1" rowspan="1" valign="top">Reference locus sequences (5&#x2032; - 3&#x2032;)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Temperature
                                    <break/> annealing step(&#x00b0;C)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Size of 
                                    <break/>products (bp)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Tumor necrosis
                                    <break/> factor-&#x03b1;-F</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5`-TGTAAAACGACGGCCAGTGCTGACCAAGAGAGAAAGAAG-3`</td>
                                <td align="center" colspan="1" rowspan="2" valign="middle">55</td>
                                <td align="center" colspan="1" rowspan="2" valign="middle">949</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">Tumor necrosis
                                    <break/> factor-&#x03b1;-R</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5`-CAGGAAACAGCTATGACGAGTCCTTGAGGGAGAGAAA-3`</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>PCR amplification</title>
                <p>The PCR process involves three major steps: denaturation, annealing, and extension.</p>
                <p>The first step depicts DNA denaturation at high temperatures (90&#x2013;97&#x00b0;C). Step two is to anneal the primers to the DNA template strands in order to prime extension. Step three involves extending the annealed primers to make a complementary copy strand of DNA; the last extension step is performed as a verification stage
                    <sup>
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup>. As seen in 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>, the PCR results were segregated on 1.5% agarose gel electrophoresis stained with ethidium bromide and observed using a Gel imaging system. Macrogen Corporation, Korea, delivered the PCR products to ABI3730XL, an automated DNA sequencer, for Sanger sequencing. The data were sent to the researcher, who subsequently examined them using Geneious prime software (RRID:SCR_010519).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>The amplification of the TNF-&#x03b1; gene of human samples was fractionated on 1.5% agarose gel electrophoresis stained with ethidium bromide.M:100bp ladder marker.</title>
                        <p>Lanes1-19 resemble 949bp PCR products.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/141469/0ff993d6-a4d3-4e3c-8d3b-e8df0a9a3aae_figure1.gif"/>
                </fig>
                <p>The summary of chemicals and kits used in this study are summarized in 
                    <xref ref-type="table" rid="T2">Table 2</xref>.</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>The sequences, annealing temperature, and product size (bp) of the primers.Note: F means the forward primer, and R is the reverse primer.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Chemical</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Provider</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Cat.No.</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">REF No.</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TNF-&#x03b1; ELISA kit</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Cusabio, China</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CSB-E04740h</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:H25223454</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">hs-CRP ELISA kit</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Demeditec, Germany</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:1110221</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">DE740011</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Go Tag Green Master Mix</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">M7822</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Agarose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:0000381091</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">V3121</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ethidium Bromide Solution (10mg/ml)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:0000337437</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">H5041</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TAE 40X</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:0000428</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">V4281</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">ReliaPrep&#x2122; Blood gDNA Miniprep System</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">A5081</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">100bpDNA Ladder</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">PR-G2101</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">G210A</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Column Wash Solution</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Promega, USA</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">LOT:0000402367</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">A503B</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Statistical analysis</title>
                <p>IBM SPSS Statistics (RRID: SCR_016479) version 27 software for Microsoft Windows was used throughout the statistical analysis process. The variance or dispersion of a collection of data values was quantified by expressing continuous variables as the mean standard deviation. Presenting discrete variables by their number and percentage, the direct count revealed the percentages and frequencies of alleles and genotypes. P-values less than 0.05 were considered significant, those less than 0.01 were considered highly significant, and those less than 0.001 were considered highly significant. The Shapiro&#x2013;Wilk test was used to assess the findings&#x2032; normality. To determine the significance of the difference between the means of two independent samples, an unpaired T-test was used. One-way analysis of variance (ANOVA) was used to determine the degree of difference between the groups under study .The chi-square test and the Fisher&#x2019;s exact test were used to organize and analyze the data. The phi correlation coefficient (phi) was used to establish the association between each genotype and the likelihood of becoming a responder. The influence of the genotypes on the chance of becoming a responder was estimated using a binary logistic regression analysis.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>Demographic data and clinical characteristics variables of the research participants are expressed in 
                <xref ref-type="table" rid="T3">Table 3</xref> and 
                <xref ref-type="table" rid="T4">Table 4</xref>.</p>
            <table-wrap id="T3" orientation="portrait" position="anchor">
                <label>Table 3. </label>
                <caption>
                    <title>Demographic data and the disease characteristicsof the participants.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="1" valign="top">Variables</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">R
                                <break/>(n=33)</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">NR (n=27)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">p-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <bold>Age (years)</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="top">40&#x00b1;7.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">41.5&#x00b1;9.7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.559
                                <sup>
                                    <xref ref-type="other" rid="TFN2">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">
                                <bold>Gender</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Male n(%)</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">32(97%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">19(70.4%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.008
                                <xref ref-type="other" rid="TFN5">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN3">b</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Female n(%)</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">1(3%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">8(29.6%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <bold>BMI (Kg/m
                                    <sup>2</sup>)</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">28.4&#x00b1;5.6</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">29.7&#x00b1;5.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.340
                                <sup>
                                    <xref ref-type="other" rid="TFN2">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">
                                <bold>Smoking status(n%)</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Nonsmoker</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">10(30.3%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">16(59.3%)</td>
                            <td align="left" colspan="1" rowspan="3" valign="top">0.077
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Active smoker</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">18(54.5%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9(33.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Ex-smoker</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5(15.2%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2(7.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">
                                <bold>Disease duration category</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>&lt; 5 year n(%)</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">17(51.5%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">15(55.6%)</td>
                            <td align="left" colspan="1" rowspan="2" valign="top">0.755
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>&#x2265; 5 year n(%)</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">16(48.5%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">12(44.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <bold>Use of NSAIDs</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2(6.1%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">6(22.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.124
                                <sup>
                                    <xref ref-type="other" rid="TFN3">b</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="2" rowspan="1" valign="top">
                                <bold>Family Hx of AS</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">7(21.2%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">8(29.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.454
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">
                                <bold>Presence of</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Osteoporosis</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9(27.3%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5(19.2%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.471
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Uveitis</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3(9.1%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3(11.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.999
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>IBD</bold>
                            </td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0(0.0%)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2(7.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.190
                                <sup>
                                    <xref ref-type="other" rid="TFN4">c</xref>
                                </sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="TFN1">
                        <p>Continuous variables presented as mean&#x00b1; SD; Discrete variables presented as numbers and frequencies;R=responder;NR=non-responder; n=number; BMI=body mass index with a unit of kilogram per square meter;Hx=history; IBD=inflammatory bowel disease;</p>
                    </fn>
                    <fn id="TFN2">
                        <p>
                            <sup>a</sup>independent sample t-test;</p>
                    </fn>
                    <fn id="TFN3">
                        <p>
                            <sup>b</sup>Fisher&#x2019;s exact test;</p>
                    </fn>
                    <fn id="TFN4">
                        <p>
                            <sup>c</sup>chi-square test</p>
                    </fn>
                    <fn id="TFN5">
                        <p>*= highly significant difference between two groups.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T4" orientation="portrait" position="anchor">
                <label>Table 4. </label>
                <caption>
                    <title>Clinical characteristics variables of the study groups.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Parameters</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">R (n=33)</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">NR (n=27)</th>
                            <th align="center" colspan="1" rowspan="1" valign="top">p-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">TNF-&#x03b1; (pg/ml)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">92.6&#x00b1;35.2</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">135.3&#x00b1;37.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">hs-CRP (mg/l)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">3.4&#x00b1;3.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">8.5&#x00b1;4.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Baseline WBC (10
                                <sup>3</sup>/&#x00b5;l)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">8.6&#x00b1;2.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">8.0&#x00b1;2.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.363
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">WBC after treatment (10
                                <sup>3</sup>/&#x00b5;l)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">7.7&#x00b1;2.0</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">7.4&#x00b1;1.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.512
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Baseline ESR (mm/h)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">30.1&#x00b1;19.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">38.1&#x00b1;16.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.104
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ESR after treatment (mm/h)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">16.8&#x00b1;10.9</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">31.2&#x00b1;17.5</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Baseline BASDAI</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">4.4&#x00b1;0.7</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">4.9&#x00b1;1.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">0.115
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BASDAI after treatment</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">2.2&#x00b1;0.8</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">4.8&#x00b1;1.1</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BASFAI after treatment</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">2.5&#x00b1;1.3</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">5.0&#x00b1;1.4</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="other" rid="TFN6">*</xref>
                                <sup>
                                    <xref ref-type="other" rid="TFN6">a</xref>
                                </sup>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p id="TFN6">Continuous variables presented as mean&#x00b1; SD; R=responder; NR=non-responder; WBC=white blood cell; BASDAI=Bath Ankylosing Spondylitis Disease Activity Index; BASFI=Bath Ankylosing Spondylitis Functional Index. * = highly significant difference between two groups; 
                            <sup>a</sup>: independent sample t-test.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>As shown in 
                <xref ref-type="table" rid="T5">Table 5</xref>, there was a high prevalence of CC genotype for both rs1799724 C/T and rs4248158C/T in contrast to a low proportion of mutant C allele (2%) in rs1799964T/C. At the same time, the wild T allele in rs1799964T/C was more frequent and predominant in over half of patients (73%).</p>
            <table-wrap id="T5" orientation="portrait" position="anchor">
                <label>Table 5. </label>
                <caption>
                    <title>Frequency of alleles and genotypes of (-1031T/C), (-857C/T), (-806C/T) TNF-&#x03b1; gene in ankylosing spondylitis patients (n=60).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">SNPs</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Genotypes</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">rs1799964</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">44</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">73.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">15</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">25</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">1.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">103</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">85.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">17</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">14.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">rs4248158</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">55</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">91.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">8.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">115</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">95.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">rs1799724</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">38</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">63.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">22</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">36.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">98</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">81.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">22</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">18.3</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Furthermore, highlighting the disparity in genotypes frequency between responder and non-responder groups, the analysis of this study showed a significant difference in the TT genotype of rs1799964 (p-value = 0.02) in the responder group, in contrast to the TC genotype of rs1799964, which was significantly more frequent in the non-responder group (p-value = 0.01), as revealed in 
                <xref ref-type="table" rid="T6">Table 6</xref>.</p>
            <table-wrap id="T6" orientation="portrait" position="anchor">
                <label>Table 6. </label>
                <caption>
                    <title>Distribution of TNF-&#x03b1; gene polymorphism and individual alleles in the AS patient groups.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="right" colspan="1" rowspan="1" valign="top">SNPs</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Genotypes</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Responder group (n=33)
                                <break/> N(%)</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Non-responder group (n=27)
                                <break/> N (%)</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">p-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">28 (84.8)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">16 (59.3)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.02
                                <xref ref-type="other" rid="TFN9">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">4 (12.1)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">11 (40.7)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.01
                                <xref ref-type="other" rid="TFN9">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">1 (3.0)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">1.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">60 (90.9)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">43 (79.6)</td>
                            <td align="right" colspan="1" rowspan="2" valign="top">0.07</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">6 (9.1)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">11 (20.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">20 (60.6)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">18 (66.7)</td>
                            <td align="right" colspan="1" rowspan="2" valign="top">0.62</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">13 (39.4)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9 (33.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">53 (80.3)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">45 (83.3)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.66</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">13 (19.7)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">9 (16.7)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.06</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">rs4248158C/T</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">31 (93.9)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">24 (88.9)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.48</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2 (6.1)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3 (11.1)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.64</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Allele frequency</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">64 (97.0)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">51 (94.4)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.49</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">T</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">2 (3.03)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3 (5.6)</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.65</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="TFN9">
                        <label>*</label>
                        <p>statistically significant difference between two groups.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>
                <xref ref-type="table" rid="T7">Table 7</xref> shows the significant and non-significant association with each studied SNP in the TNF-&#x03b1; promoter regain gene by binary logistic regression. The TC-rs1799964 genotype significantly reduced the tendency to be a responder to ETN (OR=0.208, 95%CI:0.057-0.762, p=0.018); this indicates that the heterozygote TC of rs1799964 is a predictor for non-responsiveness to ETN in AS patients.</p>
            <table-wrap id="T7" orientation="portrait" position="anchor">
                <label>Table 7. </label>
                <caption>
                    <title>Binary logistic regression analysis of genotypes to predict the tendency of being a responder to ETN.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">SNPs</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">95% CI</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">p-value</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">rs1799964
                                <break/>TC
                                <break/>CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.208
                                <break/>NA</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.057
                                <break/>&#x2026;..</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.762
                                <break/>&#x2026;..</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.018
                                <xref ref-type="other" rid="TFN10">*</xref>
                                <break/>1.000</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">rs1799724
                                <break/>CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>1.204</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.404</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>3.586</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.739</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">rs4248158
                                <break/>CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x00a0;
                                <break/>0.556</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.082
                                <break/>&#x00a0;</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">3.774
                                <break/>&#x00a0;</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.548
                                <break/>&#x00a0;</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <label>*</label>
                        <p>significant strength of association; OR: odds ratio; CI: confidence interval; p: significance level; NA: non-applicable.</p>
                    </fn>
                    <fn>
                        <label>#</label>
                        <p>Reference level for each SNP is the wild allele: TT for rs1799964T/C; CC for rs1799724C/T; CC for rs428158C/T.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>Similarly, the phi correlation coefficient (phi) analysis was shown to verify the strength of association between each genotype and the predisposition to be a responder to ETN. For example, 
                <xref ref-type="table" rid="T8">Table 8</xref> shows that the homozygote wild TT genotype of rs1799964 seemed to enhance the probability of being a responder to ETN in AS patients. Nevertheless, the heterozygote TC genotype of rs1799964 showed a negative and significant correlation for responsiveness to ETN.</p>
            <table-wrap id="T8" orientation="portrait" position="anchor">
                <label>Table 8. </label>
                <caption>
                    <title>Relationship between each genotype and the probability of being a responder.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="1" valign="top">SNPs</th>
                            <th align="right" colspan="1" rowspan="1" valign="top">Phi-coefficient</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">P-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.288</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.025
                                <sup>
                                    <xref ref-type="other" rid="TFN10">*</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x2212;0.329</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.011
                                <sup>
                                    <xref ref-type="other" rid="TFN10">*</xref>
                                </sup>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.118</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.362</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x2212;0.063</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.628</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.063</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.628</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="top">Rs4248158C/T</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.091</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.481</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">&#x2212;0.091</td>
                            <td align="right" colspan="1" rowspan="1" valign="top">0.481</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="TFN10">
                        <label>*</label>
                        <p>statistically significant</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <sec>
                <title>Adverse events and associated SNPs of ETN therapy</title>
                <p>To investigate whether SNPs in the TNF-&#x03b1; promoter region alter the severity of harmful effects from ETN use, we looked at the relationship between genotype and the occurrence of these adverse events: infection, injection site reaction, headache, and rash. These three SNPs were compared for each genotype between non-adverse and negative cases. 
                    <xref ref-type="table" rid="T9">Table 9</xref> shows there was a non-significant difference between genotypes for an increased risk of developing an infection, injection site reaction, headache, and adverse rash effects.</p>
                <table-wrap id="T9" orientation="portrait" position="anchor">
                    <label>Table 9. </label>
                    <caption>
                        <title>Distribution of studied patients according to the occurrence of infection, injection site reaction, headache, and rash as a side effect and encountered alleles.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">SNPs</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Genotypes</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Infection</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">P-value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Yes N (%), n=17</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">No N (%), n=43</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">13 (76.4)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">31 (72.0)</td>
                                <td align="right" colspan="1" rowspan="3" valign="top">1.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">4 (28.5)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11 (25.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 (2.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">10 (58.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">28 (65.1)</td>
                                <td align="right" colspan="1" rowspan="2" valign="top">0.649</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7 (41.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15 (34.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs 4248158C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15 (88.2)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">40 (93.0)</td>
                                <td align="right" colspan="1" rowspan="2" valign="top">0.545</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">2 (11.8)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">3 (7.0)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">SNPs</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Genotypes</th>
                                <th align="right" colspan="2" rowspan="1" valign="top">Injection site reaction</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">P-value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Yes N (%), n=21</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">No N (%), n=39</th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">17 (80.9)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">27 (69.2)</td>
                                <td align="right" colspan="1" rowspan="3" valign="top">0.376</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">4 (19.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">11 (28.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">1 (2.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">14 (66.7)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24 (61.5)</td>
                                <td align="right" colspan="1" rowspan="2" valign="top">0.694</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">7 (33.3)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">15 (38.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs 4248158C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">21 (100.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">34 (87.2)</td>
                                <td align="right" colspan="1" rowspan="2" valign="top">0.087</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">5 (12.8)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="3" valign="top">SNPs</th>
                                <th align="left" colspan="1" rowspan="3" valign="top">Genotypes</th>
                                <th align="center" colspan="2" rowspan="1" valign="top">Headache</th>
                                <th align="right" colspan="1" rowspan="3" valign="top">P-value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Yes N (%), n=11</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">No N (%), n=49</th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">8 (72.72)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">36 (73.46)</td>
                                <td align="center" colspan="1" rowspan="3" valign="top">1.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3 (27.27)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">12 (24.48)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1 (2.04)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">8 (72.7)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">30 (61.2)</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">0.474</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3 (27.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">19 (38.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs 4248158C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">11 (100.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">44 (89.8)</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">0.278</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">5 (10.2)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">SNPs</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Genotypes</th>
                                <th align="center" colspan="2" rowspan="1" valign="top">Rash</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">P-value</th>
                            </tr>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Yes N (%), n=12</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">No N (%), n=48</th>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">rs1799964T/C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">TT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">10 (83.3)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">34 (70.8)</td>
                                <td align="center" colspan="1" rowspan="3" valign="top">0.485</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">TC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2 (16.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">13 (27.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1 (2.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">rs1799724C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">6 (50.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">32 (66.7)</td>
                                <td align="center" colspan="1" rowspan="2" valign="top">0.284</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">6 (50.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">16 (33.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">rs 4248158C/T</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CC</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">12 (100.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">43 (89.6)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.243</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">CT</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0 (0.0)</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">5 (10.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top"/>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>AS is a chronic inflammatory condition with an unknown cause. In contrast to other systemic autoimmune diseases, the innate immune system plays a dominant role in AS, which is characterized by the aberrant activity of innate and innate-like immune cells, such as T cells, group 3 innate lymphoid cells, neutrophils, mucosal-associated invariant T cells, and mast cells, at disease-prone sites
                <sup>
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup>.</p>
            <p>The first biological DMARDs considered second-line therapy are TNFi. Adalimumab, certolizumab pegol, ETN, golimumab, and infliximab, as well as its biosimilars, are now indicated. Anti-TNF medication is quite successful in AS, with significant improvements in disease activity and functional scores following six months of treatment
                <sup>
                    <xref ref-type="bibr" rid="ref-24">24</xref>
                </sup>. These drugs should be used according to their indications, contraindications, and patient comorbidities. No TNFi are recommended for preferred efficacy
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. In large, randomized, controlled clinical trials, TNF-&#x03b1; inhibitors have shown efficacy and are well-tolerated. However, a considerable minority of individuals do not respond to these medications, and their use may be associated with severe adverse drug reactions.</p>
            <p>It is worth mentioning that the most reported adverse drug reactions to biological drugs in a study performed in Iraq were related to general disorders and administration site conditions, followed by skin and subcutaneous disorders, respiratory disorders, and gastrointestinal disorders
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. In the current research, the mean age in the responder and non-responder groups was not significantly different (p = 0.559). The study results revealed that there was a significant difference (p &lt; 0.005) in gender distribution, in which the percentage of males in the responder group was 97%, whereas it was 70.4% in the non-responder group, while the percentage of females in the responder and non-responder groups was 3% and 29.6%, respectively; this result is consistent with various previous studies
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>.</p>
            <p>The serum TNF-&#x03b1; and high-sensitivity C-reactive protein (hs-CRP) levels were also shown to vary significantly between the responder and non-responder groups. The mean BASDAI (4.8 &#x00b1; 1.1) and BASFI) 5.0 &#x00b1; 1.4) of the non-responder group treated with ETN was higher than the responder group, and this difference was statistically significant (p-value &lt; 0.001). Additionally, the mean serum level of ESR after treatment with ETN was higher in the non-responder group (31.2 &#x00b1; 17.5) than the responder group (16.8 &#x00b1; 10.9), and this difference was statistically significant (p-value &lt; 0.001). This finding is close to the result of a previously performed study by Albagoa 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup>.</p>
            <p>Prior studies conducted in Iraq examined the association between genetic variants in different genes and the prevalence and severity of AS
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-33">33</xref>
                </sup>. This observational study is the first study in Iraq that has analyzed the association of SNPs in the TNF-&#x03b1; promoter region gene -1031T/C (rs1799964), -857C/T (rs1799724) and -806C/T (rs 4248158) with outcomes of treatment in 60 Iraqi patients with AS taking ETN.</p>
            <p>Numerous global researchers have investigated the influence of SNPs in the different genes on the TNFi response
                <sup>
                    <xref ref-type="bibr" rid="ref-34">34</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-37">37</xref>
                </sup>. Regarding the frequency of the prevalence of -1031T/C (rs1799964) in all AS patients, the present study showed that the wild TT homozygote in rs1799964T/C was more frequent and predominant in over half of patients (73%), followed by heterozygote TC (25%) and a low proportion of mutant CC homozygote (2%). Moreover, the T allele was found in over 85% of patients, but the C allele was present in only about 14% of patients. There has been no previous research conducted in Iraq that closely examined -1031T/C on AS or any other disease to match it with; hence, the outcomes seemed to be equivalent to those of Han Chinese and Korean people with AS, demonstrated in previous research.</p>
            <p>This result is consistent with the Sheng 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>
                </sup> study, where the TT, TC, and CC genotypes were found in approximately 76%, 19%, and 4% of AS patients, respectively, with the proportion of T allele to C allele being 86 % and 14%, respectively. Similarly, Chung 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-39">39</xref>
                </sup>. showed a higher proportion of wild TT homozygote genotype in about 59 patients, followed by 18 patients with the TC heterozygote genotype and no patients with the CC genotype. Regarding the difference in -1031T/C (rs1799964) genotypes frequency between responders and non-responders, the analysis of this study showed a significant difference in the TT genotype of -1031T/C polymorphism (rs1799964)( p-value = 0.02) in the responder group, in contrast to the TC genotype, which was significantly more frequent in the non-responder group (p-value = 0.01), while there was no significant difference in the availability of the CC genotype between responder and non-responder groups. Similar findings were seen in a study by Tong 
                <italic toggle="yes">et al</italic>
                <sup>.
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>, who observed that the TT genotype had a better treatment outcome compared with the CT and CC genotypes.</p>
            <p>The current research findings could be attributed to the fact that the availability of the -1031TT genotype diminished TNF-&#x03b1; concentrations in the serum. Regarding the frequency of the prevalence of -857 C/T (rs1799724) in all AS patients, the current data show that there was a high prevalence of CC genotype, occurring in more than half the patients. Besides that, the C allele was found in over 80% of patients, but the T allele was present in only about 18% of patients.</p>
            <p>This result was in agreement with a study by Mohammed 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-41">41</xref>
                </sup>, which covered 80 Iraqi RA patients and revealed the prevalence of the CC genotype, with the C allele found in 81.25%. In contrast, the T allele was found in only about 18% of participants. Similarly, an Italian study by Aita 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-42">42</xref>
                </sup> reported a high frequency of CC genotype (60%) compared with TC and TT genotypes in AS patients. In addition, the current investigation indicated that both CC and CT genotypes were distributed equally across study patients.</p>
            <p>There was no significant difference statistically between the respondent and non-respondent groups, and without correlation with any response to ETN. The outcome seems to agree with the result of a previous study by Mohammed 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-41">41</xref>
                </sup>. However, the current findings disagree with the Chinese Han study by Tong 
                <italic toggle="yes">et al.</italic>, which revealed that -857CC genotypes can predict positive prognosis responsiveness to TNF-&#x03b1; inhibitors
                <sup>
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>. Indeed, a meta-analysis of a variety of ethnic groupings highlighted a relationship between the -857 C allele and the sensitivity of TNF-inhibitors in Caucasians, which was not observed in Asians
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>. Put another way, many investigations indicate that TNF-&#x03b1; -857CC improves the responsiveness to treatment (ETN), despite contradictory and insignificant evidence for this relationship
                <sup>
                    <xref ref-type="bibr" rid="ref-43">43</xref>
                </sup>.</p>
            <p>This disparity in results comparing the current study to earlier research can be associated with the rarity of the T allele in patients with AS in Iraq who participated in the current research and may be because of genetic heterogeneity and different environmental factors in different populations. In the instance of -806C/T genotypes, the results of this investigation demonstrated that the CC genotype was widespread, in more than 90% of patients, followed by the CT genotype in about 8% of participants. More than 95% of patients carried the C allele, while just 4% carried the T allele.</p>
            <p>This is the first study to examine the genotyping of -806C/T in AS patients from Iraq. Nevertheless, the results were equivalent to those from investigational research on the hazards of intracranial aneurysms among Chinese people
                <sup>
                    <xref ref-type="bibr" rid="ref-44">44</xref>
                </sup>. Furthermore, addressing the distinction in genotype frequency between the study groups, an analysis of this study showed a non-significant difference in CC and CT genotypes between the two groups. Similarly, while the CC genotype showed a positive relationship and the CT genotype showed a negative relationship, neither of them reached the statistical significance level. It is noteworthy that ours is the first study to investigate the association between the TNF-&#x03b1; -806C/T polymorphism and response to ETN in patients with AS. To investigate whether SNPs in the promoter region of the TNF-&#x03b1; gene alter the severity of harmful effects from ETN use, we looked at the relationship between genotype and the occurrence of these adverse events: infection, injection site reaction, headache, and rash.</p>
            <p>These three SNPs were compared for each genotype between non-adverse and adverse events cases. The most frequently reported side effects were injection site reaction (21 patients, 35%), followed by infection (28.3%), then headache and rash, with an incidence of about 38%. The incidence of short-term and long-term adverse effects linked with TNF-blocker medication in Chinese Han patients with AS was investigated by Tong 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-45">45</xref>
                </sup>, and they discovered that disease duration, ESR, and CRP levels in the serum were related to an increase in side effects when using TNF-blockers. Chronic therapy with infliximab correlated with more side effects than rhTNFR-Fc.</p>
            <p>Moreover, Chou 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-46">46</xref>
                </sup> found no severe adverse events in a prospective, open-label trial of ETN, involving 46 patients with AS from 60 Taiwan medical centers. However, SNPs investigated in this study cannot effectively predict the occurrence of drug-related adverse events. There are significant limits to the generalizability of our study's findings. First, the limited sample size is a drawback of this study. Specifically, even though ETN is a highly effective treatment for AS, its expense and stringent inclusion criteria are frequently the primary reasons why published observations in AS patients, as well as our study, typically have a small sample size. Next, the present research was conducted at one institute, and, while our institute serves Iraqi people from many cities, we recommend that further studies may be necessary prior to expressing the results among all Iraqi AS individuals.. Lastly, a tiny proportion of cases solely received ETN because of inadequate budget and resources. Regardless, it would be intriguing to increase the sample size to validate the result. Indeed, the small sample size and differences in genetic background amongst ethnic populations may explain the few contradictory findings.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>The presence of the TT genotype of rs1799964 is associated with a higher likelihood of responding to ETN, suggesting that it is a useful diagnostic for predicting response in Iraqi AS patients. In contrast, the TC genotype of rs1799964 greatly increases the risk of becoming an ETN non-responder. These results suggest that the TC genotype of rs1799964 should be investigated in AS patients prior to delivery of ETN.</p>
        </sec>
        <sec>
            <title>Ethical approval</title>
            <p>Ethical approval was obtained from the Scientific and Ethical Committee at the College of Pharmacy, Baghdad University, Iraq (approval number: RECACPUB-3102020D). This research was conducted in line with the Helsinki Declaration
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>.</p>
        </sec>
        <sec>
            <title>Consent</title>
            <p>Before data collection, written consent was obtained from each of the participants.</p>
        </sec>
    </body>
    <back>
        <sec sec-type="data-availability">
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Zenodo: Association between polymorphisms within gene coding for tumor necrosis factor (TNF)-alpha with outcomes of treatment in sample of Iraqi patients with Ankylosing Spondylitis taking Etanercept. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7339117">https://doi.org/10.5281/zenodo.7339117</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-47">47</xref>
                    </sup>.</p>
                <p>This project contains the following underlying data:</p>
                <list list-type="simple">
                    <list-item>
                        <label>-</label>
                        <p>Article data.xlsx (Demographic data, disease characteristics, and laboratory findings.)</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
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