<?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.172281.1</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>
                    <italic>Serological Evaluation of Anti- FSH antibody, and Anti- LH antibody In Iraqi women with polycystic ovarian syndrome</italic>
                </article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Alsaffar</surname>
                        <given-names>Sura F.</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/">Project Administration</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4657-9404</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Khaleel</surname>
                        <given-names>Hiba M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</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; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0007-3558-6709</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Biology, University of Baghdad Al-Jaderyia Campus College of Science, Baghdad, Baghdad Governorate, Iraq</aff>
                <aff id="a2">
                    <label>2</label>Biology, University of Baghdad Al-Jaderyia Campus College of Science, Baghdad, Baghdad Governorate, Iraq</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:suraa.alsaffar@sc.uobaghdad.edu.iq">suraa.alsaffar@sc.uobaghdad.edu.iq</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1355</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>11</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Alsaffar SF and Khaleel HM</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/14-1355/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Polycystic ovarian syndrome (PCOS) is a hormonal, metabolic disorder in women of reproductive age. It can be induced by genetic, immunological, and environmental determinants. The main pathophysiology of PCOS, is hyperandrogenism, which can lead to acne, hirsutism, menstrual irregularities, as well as infertility. However, PCOS is also associated with chronic low-grade inflammation.</p>
                </sec>
                <sec>
                    <title>Objectives</title>
                    <p>This study aimed to evaluate the role of, (anti-FSH, and anti-LH antibodies, in PCOS occurrence).</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>About 65 patients with PCOS, and 56 healthy women (controls) were recruited. Their ages were (20-45) years. Body mass index BMI was computed as, (weight) divided by (height squared, (kg/m
                        <sup>2</sup>). Blood samples were obtained randomly from the Medical City Hospital in Baghdad and private infertility clinics. This study was conducted between November 2024 and January 2025. The levels of anti-FSH and anti-LH antibodies were measured by ELISA.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The results revealed a non-significant increase in anti-FSH antibody in patients (36.22&#x00b1;6.73) ng/ml, compared to controls (34.99&#x00b1;9.78 ng/ml), and a highly significant decrease in anti-LH antibody in patients (45.29&#x00b1;3.04 ng/ml), as compared to controls (69.16&#x00b1;10.90 ng/ml), (p&lt;0.05). The fertility hormone, FSH showed a non-significant increase in non- healthy women (8.12&#x00b1;0.74 mIU/ml), in contrast to healthy women (7.35&#x00b1;0.62 mIU/ml) (p&gt;0.05). While the LH hormone results was, in patients with PCOS (7.61&#x00b1;0.73 mIU/ml), as opposed to the control group it was (5.62&#x00b1;0.56 mIU/ml), the (p&gt;0.05). Finally, the LH/FSH ratio showed a non- significant increase in both patients (1.161&#x00b1;0.37) and controls (0.7819&#x00b1;0.22) (p&gt;0.05).</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>Women with PCOS showed increased LH levels and the LH/FSH ratio. However, a decrease in anti-LH antibody was accompanied by an increase of LH hormone and LH/FSH ratio.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Polycystic Ovary Syndrome; Anti-FSH antibody; Anti-LH antibody; LH/FSH ratio.</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>
    </front>
    <body>
        <sec id="sec6" sec-type="intro">
            <title>1. Introduction</title>
            <p>Polycystic ovarian syndrome (PCOS) is a prevalent gynecological disorder that affects women of reproductive age (15-45 years) and is characterized by a combination of hormonal and metabolic manifestations.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The exact cause of this syndrome remains unclear; however, PCOS is primarily associated with hyperandrogenism and ovulatory dysfunction. Its incidence varies by region and is influenced by lifestyle factors, including diet and physical activity habits. The pathophysiology of PCOS, resulting from hyperandrogenism and insulin resistance, can lead to hirsutism, acne, and menstrual cycle irregularities, anovulation, endometrial cancer, ovarian enlargement, infertility, type 2 diabetes, other cardiovascular diseases.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Environmental and genetic factors contribute to PCOS development in ovaries. Lifestyle exacerbates these conditions; therefore, lifestyle modification through a healthy diet and regular physical activity is considered the first-line approach for all PCOS phenotypes. However, its effect on ovulation and fertility in lean PCOS patients appear limited. Metabolic disorders, including insulin resistance, hypertension, dyslipidemia, and central obesity are more common in obese women with PCOS. Furthermore, scientific evidence indicates that women with PCOS have higher levels of inflammation-related biomarkers in both their serum and ovarian tissues than women without the condition.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> PCOS causes an imbalance in progesterone and estrogen (sex hormones) levels, which leads to disturbances in the menstrual cycle. Therefore, oral contraceptives are often prescribed for women with PCOS.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> This condition can be diagnosed by ovarian ultrasonography. The ovary can be affected by immune-mediated processes, and these responses can be organ-specific, affecting only the ovary or systemic autoimmune diseases. One autoimmune conformation of the ovary, anti-FSH antibody interferes with the function of FSH, and FSH&#x2019;s specific beta-epitope is predominant in endometriosis and polycystic ovary syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> The pituitary gland abides by slow and fast GnRH pulses. During the early follicular stage, increasing FSH concentrations stimulate estradiol (E2) production. Elevated E2 selectively suppresses FSH secretion and sustains a high-frequency pattern of GnRH pulses into the late follicular stage.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> A hallmark of PCOS is an increase in GnRH levels, leading to elevated androgens levels. The ovary stimulates this over secretion and produces high LH levels from the adenohypophysis. This elevation in LH secretion is observed in approximately 60% of women with PCOS, and over-secretion of LH prevents oocyte maturation. The main function of LH hormone, stimulate ovulation and zygote implantation in uterus, as well as to regulate the menstrual cycle.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> LH receptors on ovarian theca cells regulate steroid production, whereas FSH receptors on granulosa cells regulate follicle development and steroid hormone handling. FSHR and LHR share structural and evolutionary similarities with the Thyroid Stimulating Hormone Receptor (TSHR) in Grave&#x2019;s disease, suggesting that they may also be targeted by autoantibodies. Evidence from limited studies indicates a possible association between these antibodies and premature ovarian failure in women.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> In infertile women anti-FSH antibody were found at high concentrations. Because of their similarities in structure, function, and site of secretion, antibodies against both LH and FSH are the same.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> LH, FSH, and LH/FSH ratio may serve as useful indicators for the diagnosis of PCOS. An increase in the LH/FSH ratio raising in level to 2 or 3 in women with PCOS, the typical ratio 1:1 of LH/FSH, means that the levels of both FSH and LH in the bloodstream can be compared.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Pretreatment with oral contraceptives is used to balance the LH/FSH ratio before ovulation, to regulate ovarian induction.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> This study aimed to determine the influence of anti-FSH, and anti-LH antibodies on PCOS occurrence.</p>
        </sec>
        <sec id="sec7">
            <title>2. Materials and methods</title>
            <p>The study was conducted in Baghdad, and samples were randomly collected from the Medical City Hospital, Baghdad, and private women&#x2019;s infertility clinics. Written informed consent was obtained from all patients and controls prior to participation. The study protocol was approved by the Ethics Committee of the College of Science, University of Baghdad (Ref.: CSEC/1124/0100, November 2024). A total of 65 women with PCOS and 56 healthy women were included in the study. The control group was comparable to patients in terms of age and body mass index (BMI). In addition, the range of women&#x2019;s ages was between 19 and 45 years, and some patients were receiving medications such as metformin, vitamin D, and oral contraceptives as treatment protocol. Women were excluded if they were pregnant, breastfed women or had hypertension, diabetes, or other autoimmune diseases. Prior to enrollment, detailed medical histories were obtained and physical examinations were performed to confirm eligibility. The duration of treatment for patients with PCOS at the time of sample collection ranged from several months to one year. BMI was measured using the equation weight (kg)/(length)m
                <sup>2</sup> for both groups (patients and controls). The main symptoms that occur in patients with PCOS are (not regular period, acne, alopecia, hirsutism, oily skin, and depression). Hyperandrogenism is a key diagnostic criterion of PCOS.</p>
            <sec id="sec8">
                <title>2.1 Exclusion criteria</title>
                <p>Pregnant, breastfeeding women, or had hypertension, diabetes, or other chronic diseases were excluded from the study.</p>
            </sec>
            <sec id="sec9">
                <title>2.2 Infertility hormones FSH, LH</title>
                <p>Using the AFIAS-6 apparatus, hormones (Follicle stimulating hormone, luteinizing hormone) were measured in the serum of women with PCOS and healthy women during the early follicular phase.</p>
            </sec>
            <sec id="sec10">
                <title>2.3 Anti-FSH, Anti-LH antibodies</title>
                <p>All parameters were determined using the serum from women with PCOS and healthy women (controls) during the early follicular phase. Fertility hormones (anti FSH antibody, and anti LH antibody) were measured by ELISA using immunological kits (Cat No: YLA0050HU, Shanghai YL Biotech Company, China). (Cat No: E3130Hu, BT LAB, China). The ELISA plate was precoated with human Anti-FSH antibodies. Upon adding 50 &#x03bc;l of the sample to the wells, any Anti-FSH Ab was bound to the immobilized antibodies. Biotin-labeled Anti-FSH Ab was dispensed into all wells except for the standard wells, which were precoated. Biotin-labeled Anti-FSH antibodies immobilized on the plate. Streptavidin-HRP was added to all wells, and the plate was kept in the dark. The mixture was incubated at 37&#x00b0;C for 60 min. After incubation, unbound streptavidin-HRP was washed away using washing buffer. The washing step was repeated five times, with a one- minute wait for each wash. Substrate solution (A and B) was then added, and the resulting color indicated the concentration of Anti-FSH Ab. The enzymatic reaction was stopped by adding an acidic stop solution, and absorbance was measured at 450 nm using a microplate reader. The same detection steps used for Anti-FSH Ab were applied to the Anti-LH
 Ab.</p>
            </sec>
            <sec id="sec11">
                <title>2.4 Statistical analysis</title>
                <p>Data analysis was performed using SPSS version 2019. Statistical tests were conducted assuming approximate normality of the variables. And independent t-test was used to compare percentages. Statistical significance was set at p-value &lt; 0.05 was considered. Simple statistical analyses were sufficient as the data did not require more complex methods.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="results">
            <title>3. Results</title>
            <p>The age of patients in the PCOS group aged &lt;30 years old was 43 (66.15%), while it was 22 (33.33%) in patients aged &gt;30 years old. Compared to the control group less than 30 years old were 40 (71.43%), while the control group more than 30 years old were 16 (28.57%), as shown in 
                <xref ref-type="table" rid="T1">
Table 1</xref>. The percentage of married female patients and with PCOS was 49 (75.38%), whereas the control group comprised 36 (64.29%). Comparing these results to unmarried patients 16 (24.62%), and the unmarried controls 20 (35.71%), as shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>. The patients who had children were 38 (58.46%), while those who did not have children were 27 (41.54%). As in the control group (having children) were 23 (64.29%), while control group (having no children) were 13 (35.71%), as shown in 
                <xref ref-type="table" rid="T1">
Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Distribution of sample study according to Age, in patient and control groups.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Factor</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Patients No. (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Control No (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Age groups</bold> &lt;30 yr.</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">43 (66.15%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (71.43%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>(year)</bold> &#x2265;30 yr.</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">22 (33.85%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (28.57%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0395
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mean &#x00b1;SE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.80 &#x00b1; 0.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.64 &#x00b1; 1.91</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.662 NS</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Married</bold>
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Married</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">49 (75.38%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (64.29%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0001
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Single</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (24.62%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20 (35.71%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">
                                <bold>Children</bold>
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Have children</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38 (58.46%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">23 (64.29%)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Don&#x2019;t have children</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (35.71%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (41.54%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0072
                                <xref ref-type="table-fn" rid="tfn2">**</xref>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Means having with the different letters in same column differed significantly.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>(
                                <italic toggle="yes">P</italic> &#x2264; 0.05),</p>
                        </fn>
                        <fn id="tfn2">
                            <label>**</label>
                            <p>(
                                <italic toggle="yes">P</italic> &#x2264; 0.01).</p>
                        </fn>
                    </fn-group>
                    <p>&#x00b1;SD = standard deviation.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>There was a non-significant increase in the follicle-stimulating hormone (FSH), and luteinizing hormone (LH) in PCOS (8.12 &#x00b1; 0.74 mIU/ml), (7.61 &#x00b1; 0.73 mIU/ml) respectively, as compared to control (7.35 &#x00b1; 0.62 mIU/ml), (5.62 &#x00b1; 0.56 mIU/ml) respectively (p value &gt; 0.05). However, LH levels showed a non-significant increase in patients when compared to controls (p &gt; 0.05). The present study found a highly significant decrease in antibodies against LH hormone in patient (45.29 &#x00b1; 3.04 ng/ml) were found to be less than control (69.16 &#x00b1; 10.90 ng/ml). Serum anti-LH antibodies were detected in PCOS patients, showing a negative correlation with LH levels. The anti-FSH antibody levels showed a non-significant increase in both patient and control groups. Antibodies against FSH in patient (36.22 &#x00b1; 6.73 ng/ml) was more than the control (34.99 &#x00b1; 9.78 ng/ml). The LH/FSH ratio revealed a non-significant increase in the patients (1.161 &#x00b1; 0.37), and control groups (0.7819 &#x00b1; 0.22), as shown in 
                <xref ref-type="table" rid="T2">
Table 2</xref>. The LH/FSH ratio was more than 2 was in patients 5(7.6%), while in control zero. The ratio was less than 2, in patient 60 (92%) higher than in control where it was 56 (100%), as shown in 
                <xref ref-type="table" rid="T3">
Table 3</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Comparison between patients and control groups in Hormones.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="6" rowspan="1" valign="top">Means &#x00b1; SE</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Groups</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">FSH (mIU/ml)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">LH (mIU/ml)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Anti-LH Ab (ng/ml)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Anti-FSH Ab (ng/ml)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
LH/FSH</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patients</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.12 &#x00b1; 0.74</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.61 &#x00b1; 0.73</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">45.29 &#x00b1; 3.04</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.22 &#x00b1; 6.73</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.161 &#x00b1; 0.37</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.35 &#x00b1; 0.62</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.62 &#x00b1; 0.56</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69.16 &#x00b1; 10.90</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.99 &#x00b1; 9.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.7819 &#x00b1; 0.22</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">T-test
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.297 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.244 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16.448
                                <xref ref-type="table-fn" rid="tfn3">**</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15.530 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.71</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">P-value
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.643</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.227</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.0050</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.936</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.09 NS</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Means having the different letters in the same column differed significantly.</p>
                    <p>(mIU/ml) = milli-International Unit per milliliter.</p>
                    <p>(Ng/ml) = nanogram per milliliter.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn3">
                            <label>**</label>
                            <p>(
                                <italic toggle="yes">P</italic> &#x2264; 0.01), NS (Non-significant) &#x00b1; SD = Standard deviation.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>The number and percentage of patients and control where (LH/FSH ratio &gt;2, and LH/FSH ratio &lt;2).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Groups</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">LH/FSH ratio &gt;2</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
LH/FSH ratio &lt;2</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patients</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5 (7.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">60 (92%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">56 (100%)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Data are presented as number and percentage (%).</p>
                </table-wrap-foot>
            </table-wrap>
            <p>The BMI of the patients and controls was as follows: in obese and overweight women the anti-LH antibody decreased in the patient (43.796) ng/ml, and control groups (69.864) ng/ml, while the anti- FSH antibody levels increased in the patients (42.561) ng/ml compared to the control group (39.653) ng/ml, and the LH/FSH ratio showed an increase in the patient (1.381), and control groups (0.825). In normal weight women, the anti-LH antibody was lower in the patients (47.586) ng/ml, than in controls (68.221) ng/ml, and the anti-FSH antibody also as anti-LH antibody, in patients (26.483) ng/ml increase, compared to control (28.791) ng/ml, while LH/FSH ratio represented a higher level in the patient (0.821) than in the control (0.723) as shown in 
                <xref ref-type="table" rid="T4">
Table 4</xref>. There was a non-significant correlation between the BMI and (Anti-FSH, Anti-LH antibodies, and LH/FSH ratio), as shown in 
                <xref ref-type="table" rid="T5">
Table 5</xref>.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>The number of patients and control BMI in anti-gonadotropin antibodies.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="2" rowspan="1" valign="top">BMI&gt;25(KG/M
                                <sup>2</sup>)</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">BMI&lt;25 (KG/M
                                <sup>2</sup>)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ANTI-LH Antibody</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43.796</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47.586</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">69.864</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">68.221</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ANTI-FSH Antibody</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">42.561</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.483</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39.653</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.791</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LH/FSH ratio</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.381</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Patient</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.821</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.825</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Control</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.723</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>KG/M
                        <sup>2</sup> = kilograms per square meter.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T5" orientation="portrait" position="float">
                <label>
Table 5. </label>
                <caption>
                    <title>Correlation coefficient between BMI with Anti-FSH, Anti-LH and LH/FSH ratio.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Parameters</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Correlation coefficient-r with BMI</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Anti-FSH
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.09 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.04 NS</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Anti-LH
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.19 NS</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LH/FSH ratio
</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02 NS</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.14 NS</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Means having the different letters in the same column differed significantly. NS (non-significant).</p>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec13" sec-type="discussion">
            <title>4. Discussion</title>
            <p>Polycystic ovarian syndrome can be defined as a hormonal, metabolic, and endocrine disorder, related to irregular androgen production from the ovaries. An increase in adrenal androgen levels, combined with obesity, promotes the peripheral conversion to estrogen.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> In addition to type 2 diabetes, women with PCOS often exhibit insulin resistance, impaired glucose tolerance, and obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> It was normal to increase the level of LH hormone, and the ratio of LH/FSH, it may be between 1-2 in healthy women but increases to reach as high as 2-3 that will lead to anovulation. The gonadotrophin- axis was distributed in PCOS patients, so LH levels increased and FSH levels were within the normal range, leading to the expression of the normal LH/FSH ratio. This result is not concordant with that reported by Malini and Roy.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> The Results of this study showed an increase in the LH/FSH ratio in female with PCOS, which increased above 1, except in some patients who were, taking an oral contraceptive that balanced the LH/FSH level before the ovulation, which may have affected the results. Despite the potential influence of oral contraceptives on the LH/FSH ratio, a small proportion (7.5%) of the patients still exhibited values above 2, which is a hallmark feature of PCOS. This finding further supports the notion that, in addition to endocrine and metabolic disturbances, immune-mediated mechanisms such as the presence of anti-LH Ab and anti-FSH Ab, may contribute to ovarian dysfunction and reproductive impairment in affected women. In addition, findings indicated an elevation in LH concentrations, along with either normal or reduced FSH concentrations, in individuals with PCOS, as revealed by previous research.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The medications that some patients with PCOS were taking are vitamin D3, oral contraceptives, and metformin when samples were collected, the role of metformin and vitamin D in PCOS was to decrease the FSH level in women during post-menopause, and decreased LH levels in women with PCOS.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Some patients had been taking medications, such as metformin and vitamin D, which were prescribed by their physician at the time of sample collection. This treatment is commonly used in PCOS to improve hormonal balance by lowering LH levels and increasing FSH levels, thereby supporting ovulation and enhancing menstrual regularity. Additionally, metformin and vitamin D have a positive effect on BMI, and their combination is particularly effective in managing ovulatory dysfunction in patients with PCOS.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Insulin resistance in women with PCOS is reduced by metformin, thereby counteracting adverse metabolic and hormonal disturbances. This improvement is accompanied by enhanced GnRH pulsatility, decreased LH secretion, and reduced androgen production, and an increase in sex hormone-binding globulin (SHBG). Normalization of LH levels and the LH/FSH ratio in this manner is considered one of the most prominent therapeutic effects of metformin on fertility in women with PCOS.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> FSH and LH are inhibited by anti-FSH antibody or anti-LH antibody trapping the hormones in the immune complex, and anti-FSH antibody prevents FSH hormone from binding to its receptor.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> An earlier study showed that there was a higher level of anti-FSH antibody in (patients) with PCOS than (controls), the exact mechanism remains unclear, and a previous study suggested that the epitope of the beta- chain of FSH attacked by anti-FSH antibody, these Autoantibodies made the tissue of ovaries and the hormone receptors as target, where activated the gonadotropin-releasing hormone receptor, and disrupted the action of the hypothalamic-pituitary ovarian axis. The rate of anti-FSH antibody in this study, increased in female with PCOS, which is consistent with a previous study showing an elevation in anti-FSH antibody levels in women with PCOS, However, the anti-LH antibody level did not show that increase. As well as the current study showed a non-significant relationship between (BMI) and (anti-FSH antibody, anti-LH antibody, and the LH/FSH ratio). There was a non-significant decrease in anti-LH antibody levels, in obese patients and a non-significant increase in obese controls women. The results were the same for the non-obese (patients and controls). In obese and non-obese (patients and controls), the anti-FSH antibody, LH/FSH ratio, revealed a non-significant increase, as shown in earlier research.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> In earlier study, alteration in reproductive hormones were identified in PCOS patients, with FSH levels being lower and LH levels elevated. Approximately, 64.5% of the women exhibited abnormal hormonal profiles involving FSH, LH, along with an increased LH/FSH ratio. The ratio of LH/FSH showed an inverse association with body mass index. Also, these hormonal changes, particularly the imbalance in LH, FSH, and their ratio, were related to clinical manifestations of PCOS, such as obesity, insulin resistance, and hyperandrogenism.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Previous study reported elevated LH levels in PCOS patients accompanied by detectable anti-LH antibodies. These findings suggest that serum anti-LH Abs could serve as a potential marker for PCOS. In line with this, the current study observed a negative correlation between LH and anti-LH Abs, supporting the proposed relationship.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> As such, this study suggested a group of patients with PCOS and controls (healthy women), according to their ages, and if they have children (fertile), or not (infertile) to detect the fertility beside that (secondary infertility), and (primary infertility) in female with PCOS was clearly increased. However, the levels of anti-LH and anti-FSH antibody in primary infertile patients with PCOS were higher than those in secondary infertile patients with PCOS and controls. To review past research, infertility was defined as a primary infertility (when couples never had children for more than 12 months). Secondary infertility (when couples never had children after the last child they had, for more than 12 months), and the female was diagnosed with PCOS without taking any treatment. BMI is a numerical value that estimates a person&#x2019;s body fat based on their weight and height, BMI in obese and overweight women is above 25, whereas that in low fat women is below 25. In an earlier study the women with a BMI less than 25 (normal weight) had fewer menstrual cycle irregularities than obese and overweight women.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
            </p>
        </sec>
        <sec id="sec14" sec-type="conclusion">
            <title>5. Conclusion</title>
            <p>This study suggests that immune-mediated mechanisms, including increased in levels of anti-FSH antibodies, may contribute to hormonal imbalance and reproductive dysfunction in women with PCOS. An elevated LH level and LH/FSH ratio above 2 were observed in the PCOS group, with cases of primary and secondary infertility clear. Endocrine and metabolic factors remain important, considering that immune factors could improve patient assessment and fertility management. Future studies with larger sample sizes and advanced analyses are recommended to better understand these interactions and to guide targeted interventions.</p>
        </sec>
        <sec id="sec16">
            <title>Ethical statement</title>
            <p>This study was approved by the Ethics Committee of the College of Science, University of Baghdad (Ref.: CSEC/1124/0100, November 2024). All procedures involving human participants were conducted in accordance with the ethical standards of the Declaration of Helsinki. Written consent was obtained from each patient and control before the study started.</p>
        </sec>
    </body>
    <back>
        <sec id="sec19" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>All data supporting the findings of this study are available in the Zendo repository.</p>
            <p>The raw data of the paper was uploaded to zendo repository in the following DOI: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.17499229">https://doi.org/10.5281/zenodo.17499229</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup>
            </p>
            <p>2- Zendo: questionnaire and written consent form were uploaded as mentioned in the following Doi: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.17499229">https://doi.org/10.5281/zenodo.17499229</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup>
            </p>
            <p>Data is available under 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons Attribution 4.0 International</ext-link> license (CC-BY 4.0).</p>
        </sec>
        <ack>
            <title>Acknowledgment</title>
            <p>A great thanks to Iraqi Ministry of health, and to Dr. Zahraa Ali Mohammed Infertility consultant doctor. I extend my sincere thanks to all staff of Medical city of Baghdad,y and to all women who help me during collecting blood samples.</p>
        </ack>
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                        <italic toggle="yes">Zendo.</italic>
</source>
                    <year>2025</year>.</mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report441802">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.189997.r441802</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ach</surname>
                        <given-names>Taieb</given-names>
                    </name>
                    <xref ref-type="aff" rid="r441802a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8387-8278</uri>
                </contrib>
                <aff id="r441802a1">
                    <label>1</label>Laboratory of Exercise Physiology and Pathophysiology, Sousse, Tunisia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>31</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Ach T</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport441802" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.172281.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors reported the use of antiFSH and antiLH in PCOS patients , and their influence on the clinical, hormonal and diagnosis aspects.</p>
            <p> The research is original with novel results.&#x00a0;</p>
            <p> This is a well written manuscript , with updated references.</p>
            <p> Here are my comments to improve it before acceptance :</p>
            <p> - Introduction is too long with a lot of references. The authors should state mainly the originality of the research.</p>
            <p> - AMH sampling is missing the diagnosis criteria.</p>
            <p> - The authors could update the number of follicles diagnosis in MENA region with a recent north african cutoff :( ref 1 )</p>
            <p> - Add more details on PCOS phenotypes , and diagnosis criteria</p>
            <p> - Patients sampling is missing</p>
            <p> - Why in the results : androgen sampling is missing.&#x00a0;</p>
            <p> - Is it necessary to have three numbers after decimals in each sampling ?</p>
            <p> - Add abbreviations under tables : NS etc ..</p>
            <p> - The results are original , however ; clinical implications are not welle explained.</p>
            <p> Add more details on cost, clinical applications.</p>
            <p> - Strength and limitations must be enhanced.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Reproductive Endocrinology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-441802-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Validation of the follicular and ovarian thresholds by an 18-MHz ultrasound imaging in polycystic ovary syndrome: a pilot cutoff for North African patients</article-title>.
                        <source>
                            <italic>Therapeutic Advances in Reproductive Health</italic>
                        </source>.<year>2024</year>;<volume>18</volume>:
                        <elocation-id>10.1177/26334941241270372</elocation-id>
                        <pub-id pub-id-type="doi">10.1177/26334941241270372</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment15382-441802">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Khaleel</surname>
                            <given-names>Hiba</given-names>
                        </name>
                        <aff>Biology, University of Baghdad Al-Jaderyia Campus College of Science, Baghdad, Baghdad Governorate, Iraq</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>The authors declare that there are no competing interests.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>1</day>
                    <month>2</month>
                    <year>2026</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Comment 1:</p>
                <p> The response: The introduction has been shortened, and the originality regarding the role of anti-FSH antibody and anti-LH antibody in PCOS diagnosis and clinical implications has been preserved.</p>
                <p> Comment 2:&#x00a0;</p>
                <p> The response: The diagnostic criteria have been clarified under the Materials and Methods section. The role of AMH measurement in relation to these criteria has been clarified.</p>
                <p> Comment 3:</p>
                <p> The response: The study was conducted exclusively on Iraqi women.</p>
                <p> Comment 4:</p>
                <p> The response: PCOS phenotypes were not specified in this study; it is beyond the scope of the study.</p>
                <p> Comment 5:</p>
                <p> The response: The patients' sampling has been included.</p>
                <p> Comment 6:</p>
                <p> The response: Androgen levels were not assessed in this study, as the focus was on other diagnostic criteria.</p>
                <p> Comment 7:</p>
                <p> The response: Yes, using 3 decimal places ensures higher precision and consistency in reporting the sampling data.</p>
                <p> Comment 8:</p>
                <p> The response: All abbreviations used in the table, e.g., (NS: Not Significant), have been clearly defined in the table footnotes.&#x00a0;</p>
                <p> Comment 9:&#x00a0;</p>
                <p> The response: The discussion section has been expanded to better explain the clinical implications of the findings. Additional details regarding potential cost-effectiveness and practical clinical applications of using anti-FSH and anti-LH antibodies in PCOS diagnosis have been included.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
