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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2023.1271392</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Detection of macrolide and fluoroquinolone resistance-associated 23S rRNA and parC mutations in Mycoplasma genitalium by nested real-time PCR</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>He</surname>
<given-names>Wenyin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yuan</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Junyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1491849"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Xuejiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2192849"/>
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<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pan</surname>
<given-names>Xingfei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1494742"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Clinical Laboratory, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Infectious Diseases, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Costas C. Papagiannitsis, University of Thessaly, Greece</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ant&#xf3;nio Machado, Universidad San Francisco de Quito, Ecuador; Li Xiao, University of Alabama at Birmingham, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Lei Li, <email xlink:href="mailto:lilei@gzhmu.edu.cn">lilei@gzhmu.edu.cn</email>; Xingfei Pan, <email xlink:href="mailto:panxf0125@163.com">panxf0125@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1271392</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>08</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>10</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 He, Yuan, Liang, Fan, Li and Pan</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>He, Yuan, Liang, Fan, Li and Pan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Traditional drug susceptibility testing cannot be performed in clinical laboratories due to the slow-growing characteristics of <italic>Mycoplasma genitalium</italic> when cultured <italic>in vitro</italic>. Sanger sequencing is the standard method for detecting drug resistance-associated mutations. It has been used in some laboratories to guide the choice of macrolide antibiotics for <italic>Mycoplasma genitalium</italic> infected patients. Furthermore, resistance to fluoroquinolone has become another emerging clinical challenge.</p>
</sec>
<sec>
<title>Objective</title>
<p>Sequencing analysis can detect unknown mutations, but it is time-consuming, requires professional analytical skills and the appropriate testing equipment. The main objective of this study was to establish a nested real-time PCR method for the simultaneous detection of <italic>23S rRNA</italic> and <italic>parC</italic> genotypes in relation to the macrolide and fluoroquinolone resistance.</p>
</sec>
<sec>
<title>Results</title>
<p>105 MG-positive samples and 27 samples containing other pathogens were used for validation. The limit of the nested real-time PCR detection was 500 copies/reaction and there was no cross-reaction with <italic>Ureaplasma urealyticum</italic>, <italic>Mycoplasma hominis</italic>, <italic>Chlamydia trachomatis</italic>, <italic>Neisseria gonorrhoeae</italic>, <italic>Human papillomavirus</italic>, <italic>Herpes simplex virus</italic>, <italic>Candida albicans</italic> and <italic>Ureaplasma parvum</italic>, but the <italic>23S rRNA</italic> assay cross-reacted with <italic>Mycoplasma pneumoniae</italic>. Compared with sequencing results, the sensitivity of <italic>23S rRNA</italic> was 100% (95% CI; 93.3 -100), the specificity was 94.3% (95% CI; 79.4 - 99.0), the overall consistency was 98% (95% CI; 92.5 - 99.7) and <italic>kappa</italic> value was 0.96 (<italic>P</italic> &lt; 0.001); the sensitivity of <italic>parC</italic> was 100% (95% CI; 93.4 - 100), the specificity was 89.7% (95% CI; 71.5 - 97.3) and the overall consistency was 96.9% (95% CI; 90.7 - 99.2) with a <italic>kappa</italic> value of 0.92 (<italic>P</italic> &lt; 0.001).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The results of this sensitive and rapid alternative for identifying resistant genotypes of <italic>Mycoplasma genitalium</italic> are intuitive and easy to interpret, especially for mixed MG populations. Although the relevant <italic>23S rRNA</italic> primers need further adjustment, this reliable method would provide an effective diagnostic tool for the selection of antibiotics in clinical practice.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<italic>Mycoplasma genitalium</italic>
</kwd>
<kwd>macrolide</kwd>
<kwd>fluroquinolone</kwd>
<kwd>23S rRNA</kwd>
<kwd>parC</kwd>
<kwd>nested real-time PCR</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="7"/>
<word-count count="2891"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Microbiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>
<italic>Mycoplasma genitalium</italic> (MG) is one of the most common sexually transmitted pathogens in the clinic. MG infection is correlated with non-gonococcal urethritis, vaginitis, pelvic inflammatory disease and tubal infertility (<xref ref-type="bibr" rid="B14">Lis et&#xa0;al., 2015</xref>). It is also a suspected cause of preterm birth, reactive arthritis and proctitis (<xref ref-type="bibr" rid="B2">Daley et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B7">Gnanadurai and Fifer, 2020</xref>). In recent years, drug-resistant mutation rates to first-line (macrolides) and second-line (fluoroquinolones) treatment regimens have increased rapidly worldwide (<xref ref-type="bibr" rid="B15">Machalek et&#xa0;al., 2020</xref>), with significant regional variations. Individualized treatment based on macrolide resistance detection has been recommended in the United States (<xref ref-type="bibr" rid="B26">Workowski et&#xa0;al., 2021</xref>), the United Kingdom (<xref ref-type="bibr" rid="B20">Soni et&#xa0;al., 2019</xref>), Australia (<xref ref-type="bibr" rid="B22">The Australian Government Department of Health, 2021</xref>) and other regions (<xref ref-type="bibr" rid="B9">Jensen et&#xa0;al., 2022</xref>). Recent studies have shown that macrolide resistance is strongly associated with mutations at 2058 and 2059 (<italic>E. coli</italic> numbers) positions of the <italic>23S rRNA</italic>, whereas fluoroquinolone resistance is mainly associated with amino acid substitutions at S83 and D87 (<italic>M. genitalium</italic> numbers) in the quinolone resistance determining region (QRDR) of <italic>parC</italic>. Amino acid substitutions in the QRDR of <italic>gyrA</italic> may have a synergistic effect (<xref ref-type="bibr" rid="B1">Bissessor et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B18">Nijhuis et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B5">Fernandez-Huerta et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B17">Murray et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B3">De Baetselier et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B4">De Baetselier et&#xa0;al., 2022</xref>). Sequencing is widely used as the &#x201c;gold standard&#x201d; for mutation detection in clinical research. However, its value in clinical applications is limited by the complexity of the processes and the lack of professional instrumentation in some laboratories. Although real-time fluorescent PCR-based commercial kits or self-constructed methods are available and evaluated, they usually have limitations, such as detecting only one single target, either <italic>23S rRNA</italic> or <italic>parC</italic>, lack of accurate genotype identification and unpublished primer and probe sets (<xref ref-type="bibr" rid="B25">Wold et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B23">Thellin et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B10">Le Roy et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B8">Gullsby et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B19">Shedko et&#xa0;al., 2021</xref>). To provide a flexible and rapid guide to clinical antibiotic therapy, this study aims to establish a nested real-time PCR assay for key sites associated with macrolide and fluoroquinolone resistance, including mutations at <italic>23S rRNA</italic> A2058, A2059 and <italic>parC</italic> S83, D87 positions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Sample collection</title>
<p>From April 2022 to March 2023, 105 MG-positive samples were used as validation samples for nested real-time PCR experiments to evaluate laboratory performance, such as concordance rate with Sanger sequencing method, limit of detection (LoD), and so on. Of these samples, 17 were male urogenital swabs and 88 were female urogenital swabs; 87 cases were from pre-treatment samples and 18 cases were from test-of-cure (TOC) samples. Each three specimens with different common urogenital pathogens and <italic>Mycoplasma pneumoniae</italic> have been used for cross-reactivity validation, respectively. The study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University (No.2022044).</p>
</sec>
<sec id="s2_2">
<title>Nested real-time PCR assay</title>
<p>MG was detected by real-time simultaneous amplification and testing (SAT) (Rendu Biotechnology Co., Shanghai, China) with a LoD of 1000 copies/reaction. Nucleic acid was extracted from 300&#x3bc;L eluent of positive samples using the Smart Lab Automatic Nucleic Acid Extractor (Advanced Nanotech Co., Taiwan, China) and DNA/RNA Extraction Kit (Health Gene Technologies Co., Ningbo, China). 50&#x3bc;L of nucleic acid samples are stored at -80&#xb0;C until use.</p>
<p>Step 1: The first round of PCR experiments was performed according to the instructions of the Platinum SuperFi II PCR Master Mix Kit (CAT# 12368010, Thermo Fisher, USA) with a total reaction volume of 50 &#x3bc;L: 25 &#x3bc;L of 2 &#xd7; Platinum SuperFi II PCR Master Mix, 2.5 &#x3bc;L primers (10 &#x3bc;M), 5 &#x3bc;L nucleic acid sample and 15 &#x3bc;L water. The primers used as follows: <italic>23S rRNA</italic> 5&#x2019;- CAACTCTATGCCAAACCGTAAG-3&#x2019; and 5&#x2019;-GTC AAACTGCCCACCTAACAC-3&#x2019;, <italic>parC</italic> 5&#x2019;-AAACCAGTACAAAGACGGATCT-3&#x2019; and 5&#x2019;-GAGGTTAGGCAGTAAGGTTGG-3&#x2019;.</p>
<p>The reaction was performed on a Veriti PCR instrument (Applied Biosystems, USA) under the following PCR conditions: 98&#xb0;C, 30 seconds, 1 cycle; 98&#xb0;C, 10 seconds, 60&#xb0;C, 10 seconds, 72&#xb0;C, 30 seconds, 35 cycles; 72&#xb0;C, 5 minutes and 4&#xb0;C hold.</p>
<p>Step 2: The PCR product of Step1 was diluted 1:1000, and real-time PCR was performed according to the manual of the FastFire qPCR PreMix (Probe) kit (CAT# FP208, Tiangen Biotechnology Co., Beijing, China), with a total reaction volume of 20 &#x3bc;L, including 10 &#x3bc;L of 2 &#xd7; qPCR Mix, 0.4 &#x3bc;L primers (10 &#x3bc;M), 0.2 &#x3bc;L probes (10 &#x3bc;M), 2 &#x3bc;L diluted Step1 PCR product, and 7 &#x3bc;L water. A Cobas z480 fluorescence PCR instrument (Roche Diagnostics, Germany) was used for detection, with the following reaction conditions: 95&#xb0;C, 5 minutes, 1 cycle; 95&#xb0;C, 10 seconds, 70&#xb0;C, 30 seconds (FAM channel acquisition), 25 cycles; 37&#xb0;C, 30 seconds, 1 cycle. All primers and probes above were designed by Primer Premier software (Version 6, Premier Biosoft Inc., CA), then were synthesized by Guangzhou IGE Biotechnology Co. Primer and probe sequences used in fluorescent PCR experiments are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Seven probes were used to detect mutations at A2058 and A2059 positions of <italic>23S rRNA</italic>, one probe to detect A2060 of <italic>23S rRNA</italic> was used as a negative control, four probes were used to detect mutations at S83 amino acid site of <italic>parC</italic>, and four probes were used to detect mutations at D87 amino acid site of <italic>parC</italic>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primers and probes for Step2: Real-time fluorescence PCR experiments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Detection Site</th>
<th valign="middle" align="left">Primers and Probes</th>
<th valign="middle" align="left">Sequence (5&#x2019;-3&#x2019;)</th>
<th valign="middle" align="left">Genotype</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="9" align="left">
<italic>23S rRNA</italic> A2058&#x3001;<break/>A2059</td>
<td valign="middle" align="left">23S-1991F<break/>23S-2137R</td>
<td valign="middle" align="left">CCATCTCTTGACTGTCTCGGCTAT<break/>CCTACCTATTCTCTACATGGTGGTGTT</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">S1</td>
<td valign="middle" align="left">FAM- ACGG<bold>
<underline>AA</underline>
</bold>AGACCCCGT -MGB</td>
<td valign="middle" align="left">Wild type</td>
</tr>
<tr>
<td valign="middle" align="left">S2</td>
<td valign="middle" align="left">FAM- ACGGA<bold>
<underline>C</underline>
</bold>AGACCCCGT -MGB</td>
<td valign="middle" align="left">A2059C</td>
</tr>
<tr>
<td valign="middle" align="left">S3</td>
<td valign="middle" align="left">FAM- ACGGA<bold>
<underline>G</underline>
</bold>AGACCCCGT -MGB</td>
<td valign="middle" align="left">A2059G</td>
</tr>
<tr>
<td valign="middle" align="left">S4</td>
<td valign="middle" align="left">FAM- ACGGA<bold>
<underline>T</underline>
</bold>AGACCCCGT -MGB</td>
<td valign="middle" align="left">A2059T</td>
</tr>
<tr>
<td valign="middle" align="left">S5</td>
<td valign="middle" align="left">FAM- ACGG<bold>
<underline>C</underline>
</bold>AAGACCCCGT -MGB</td>
<td valign="middle" align="left">A2058C</td>
</tr>
<tr>
<td valign="middle" align="left">S6</td>
<td valign="middle" align="left">FAM- ACGG<bold>
<underline>G</underline>
</bold>AAGACCCCGT -MGB</td>
<td valign="middle" align="left">A2058G</td>
</tr>
<tr>
<td valign="middle" align="left">S7</td>
<td valign="middle" align="left">FAM- ACGG<bold>
<underline>T</underline>
</bold>AAGACCCCGT -MGB</td>
<td valign="middle" align="left">A2058T</td>
</tr>
<tr>
<td valign="middle" align="left">S8</td>
<td valign="middle" align="left">FAM- ACGGAA<bold>
<underline>G</underline>
</bold>GACCCCGT -MGB</td>
<td valign="middle" align="left">A2060G (NC)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ParC</italic> S83</td>
<td valign="middle" align="left">ParC-213F<break/>ParC-295R</td>
<td valign="middle" align="left">GGAGATCATGGGGAAATACCA<break/>TGTTCTTTCAGCTTTGGGACA</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P1</td>
<td valign="middle" align="left">FAM- CATGGTGAT<bold>
<underline>AG</underline>
</bold>TTCC -MGB</td>
<td valign="middle" align="left">Wild type</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P2</td>
<td valign="middle" align="left">FAM- CATGGTGAT<bold>
<underline>C</underline>
</bold>GTTCC -MGB</td>
<td valign="middle" align="left">A247C (S83R)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P3</td>
<td valign="middle" align="left">FAM- CATGGTGATA<bold>
<underline>T</underline>
</bold>TTCC -MGB</td>
<td valign="middle" align="left">G248T (S83I)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P4</td>
<td valign="middle" align="left">FAM- CATGGTGATA<bold>
<underline>A</underline>
</bold>TTCC -MGB</td>
<td valign="middle" align="left">G248A (S83N)</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>ParC</italic> D87</td>
<td valign="middle" align="left">ParC-213F<break/>ParC-295R</td>
<td valign="middle" align="left">GGAGATCATGGGGAAATACCA<break/>TGTTCTTTCAGCTTTGGGACA</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P5</td>
<td valign="middle" align="left">FAM- CCATTTAT<bold>
<underline>GA</underline>
</bold>TGCAATTATC -MGB</td>
<td valign="middle" align="left">Wild type</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P6</td>
<td valign="middle" align="left">FAM- CCATTTAT<bold>
<underline>A</underline>
</bold>ATGCAATTATC -MGB</td>
<td valign="middle" align="left">G259A (D87N)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P7</td>
<td valign="middle" align="left">FAM- CCATTTAT<bold>
<underline>T</underline>
</bold>ATGCAATTATC -MGB</td>
<td valign="middle" align="left">G259T (D87Y)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">P8</td>
<td valign="middle" align="left">FAM- CCATTTATG<bold>
<underline>G</underline>
</bold>TGCAATTATC -MGB</td>
<td valign="middle" align="left">A260G (D87G)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mutation sites are highlighted with bold and underline.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In order to check the amplification efficiency of the fluorescent PCR phase, wild-type plasmids were diluted in a ten-fold gradient, followed by detecting with S1 and P1 primer/probe set. The primer/probe efficiency was calculated automatically by Roche z480 instruments based on the standard curves from three independent experiments.</p>
</sec>
<sec id="s2_3">
<title>Limit of detection</title>
<p>Twelve pGSI plasmids containing different mutant fragments (<italic>23S rRNA</italic> A2058C, A2058G, A2058T, A2059C, A2059G, A2059T; <italic>parC</italic> A247C (S83R), G248T (S83I), G248A (S83N), G259A (D87N), G259T (D87Y), A260G (D87G) and the pGSI plasmid containing the wild-type fragment were used to validate the LoD of the overall experimental protocols. Different plasmids were diluted to 100000, 10000, 1000, 500, 200, 100 and 50 copies/reaction and the experiments were repeated at least ten times. The lowest concentration with 100% amplification is the LoD of each genotype and the LoD of the whole experiment is the highest LoD of all genotypes.</p>
</sec>
<sec id="s2_4">
<title>Cross reaction</title>
<p>Twenty-four urogenital swab specimens and three pharyngeal swab specimens of <italic>Mycoplasma pneumoniae</italic> were confirmed for the presence of different pathogens using National Medical Products Administration (NMPA)-approved reagents from Liferiver BioTech Co., including <italic>Ureaplasma urealyticum</italic>, <italic>Mycoplasma hominis</italic>, <italic>Chlamydia trachomatis</italic>, <italic>Neisseria gonorrhoeae</italic>, <italic>Human papillomavirus</italic>, <italic>Herpes simplex virus</italic>, <italic>Candida albicans</italic>, <italic>Ureaplasma parvum</italic> and <italic>Mycoplasma pneumoniae</italic>. All these samples were MG-negative and were used to verify the cross reaction of the nested real-time PCR assay with other pathogens.</p>
</sec>
<sec id="s2_5">
<title>Accuracy</title>
<p>105 MG<italic>-</italic>positive samples were detected by the evaluated method and Sanger sequencing respectively, and the consistency of the results was assessed.</p>
<p>All the Step1 PCR products of MG-positive samples were subjected to 1% agarose gel electrophoresis before sequencing to analyze their specificity, and then sequencing experiments were performed by Guangzhou IGE Biotechnology Co. Step1 PCR products were sequenced in both directions, then were analyzed by Chromas software and compared with <italic>Mycoplasma genitalium</italic> G37 strain genome sequence (GenBank NC _ 000908). The <italic>23S rRNA</italic> mutation sites are represented by the <italic>E. coli</italic> numbers. The <italic>parC</italic> mutations and amino acid sites are represented by the <italic>Mycoplasma genitalium</italic> numbers. Data were analyzed using SPSS software, version 19.0 (IBM Co., Armonk, NY, USA). All data were expressed and analyzed as crosstabs, the Wilson test with a correction for continuity was used to calculated the 95% confidence interval (CI) of a proportion.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Presentation of nested real-time PCR results</title>
<p>For each sample, 16 fluorescent PCR amplification reactions were performed simultaneously (including a negative control). The <italic>23S rRNA</italic> and <italic>parC</italic> genotypes of each sample were assessed comprehensively by combining the detection curves of seven <italic>23S rRNA</italic> probes and eight <italic>parC</italic> probes. The fluorescent PCR detection results of the three independent samples are shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. If the sample contain a single MG population, three amplification curves will appear, respectively for <italic>23S rRNA</italic>, <italic>parC</italic> S83 and <italic>parC</italic> D87 regions, as shown in <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A</bold>
</xref>
<bold>
</bold>, <xref ref-type="fig" rid="f1">
<bold>B</bold>
</xref>. The reactions with the S1, P3 and P5 probes showed an S-shaped amplification curve in the sample shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>, and the corresponding genotypes were <italic>23S rRNA</italic> WT and <italic>parC</italic> G248T (S83I). The reactions with the S3, P1 and P7 probes showed an S-shaped amplification curve respectively in another sample shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>, and the corresponding genotypes were <italic>23S rRNA</italic> A2059G and <italic>parC</italic> G259T (D87Y).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Examples of the nested RT-PCR experiment and corresponding confirmation experiment results. <bold>(A)</bold> The nested RT-PCR results of a MG-positive sample with <italic>23S rRNA</italic> WT and <italic>parC</italic> G248T (S83I) genotypes. <bold>(B)</bold> The nested RT-PCR results of a MG-positive sample with <italic>23S rRNA</italic> A2059G and <italic>parC</italic> G259T (D87Y) genotypes. The nested RT-PCR <bold>(C)</bold> and corresponding sequencing results <bold>(D)</bold> of a sample with mixed MG populations. <bold>(E)</bold> The agarose gel electrophoresis results of the real-time fluorescent PCR products (step 2) from a wild-type sample.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1271392-g001.tif"/>
</fig>
<p>In fact, mixed MG populations may be present in individual samples. <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref> showed the nested real-time PCR and sequencing results of one sample containing mixed mutants. The reactions of nested real-time PCR with probes S3, P1, P3, P7 and P5 exhibited an S-shaped amplification curve, and the corresponding genotypes were <italic>23S rRNA</italic> A2059G, <italic>parC</italic> G248T (S83I)/G259T (D87Y) or G248T (S83I)/G259T (D87Y)/WT. These mixed MG populations could also be distinguished by the sequencing results.</p>
<p>To demonstrate the specificity of this method, 1% agarose gel electrophoresis was performed with the real-time PCR products (Step 2) from a wild-type sample. The results showed that there were bands in the S1, P1 and P5 lanes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>), with the S1 fragment 147 bp in length and the P1 and P5 fragment 83 bp in length, as expected.</p>
</sec>
<sec id="s3_2">
<title>Performance validation of the nested real-time PCR assay</title>
<p>In the real-time fluorescence PCR stage (Step2), the S1 primer/probe set efficiency was 1.900 &#xb1; 0.021, and the P1 primer/probe set efficiency was 1.838 &#xb1; 0.044.</p>
<p>Plasmids with different concentrations were detected ten times with the corresponding probes respectively. At a concentration of 200 copies/reaction, all <italic>23S rRNA</italic> reaction systems can be amplified, whereas at a concentration of 500 copies/reaction, all <italic>parC</italic> reaction systems can be amplified. In summary, the LoD of the nested real-time PCR was 500 copies/reaction.</p>
<p>The assay didn&#x2019;t cross-react with common urogenital pathogens such as <italic>Ureaplasma urealyticum</italic>, <italic>Mycoplasma hominis</italic>, <italic>Chlamydia trachomatis</italic>, <italic>Neisseria gonorrhoeae</italic>, <italic>Human papillomavirus</italic>, <italic>Herpes simplex virus</italic>, <italic>Candida albicans</italic> and <italic>Ureaplasma parvum</italic> (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figures S1A&#x2013;H</bold>
</xref>). There were no S-shaped amplification curves for any of the assay systems. However, the <italic>23S rRNA</italic> assay cross-reacted with <italic>Mycoplasma pneumoniae</italic> (<xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1I</bold>
</xref>).</p>
<p>The detection rate of the nested real-time PCR method was 100% (105/105). <italic>23S rRNA</italic> sequencing failed in 2 samples and <italic>parC</italic> sequencing failed in 7 samples. A comparison of the nested real-time PCR and Sanger sequencing methods is shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Most of the results were consistent. However, in 5 samples, the results of the two methods were not consistent, including 2 <italic>23S rRNA</italic> WT by sequencing but WT/A2059G by the nested real-time PCR, 1 <italic>parC</italic> WT by sequencing but WT/G259A (D87N) by the nested real-time PCR, and 2 <italic>parC</italic> WT by sequencing but WT/G248T (S83I) by the nested real-time PCR. The evaluated method showed that there were mixed MG populations in the sample, but the sequencing results showed that it was unable to distinguish the low peak at the mutation site from background noise on the sequencing map.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Comparison of single nucleotide polymorphism (SNP) detection for the nested RT-PCR assay compared to Sanger sequencing.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center" colspan="2" rowspan="2"/>
<th valign="middle" colspan="3" align="center">Sanger sequencing</th>
</tr>    <tr>
<th valign="middle" align="center">Mutant</th>
<th valign="middle" align="center">Wild-type</th>
<th valign="middle" align="center">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>Nested RT-PCR</bold>
<break/>
<italic>23S rRNA</italic>
</td>
<td valign="middle" align="center">Mutant</td>
<td valign="middle" align="center">68<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
<td valign="middle" align="center">2<xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
<td valign="middle" align="center">70</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Wild-type</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">33</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Nested RT-PCR</bold>
<break/>
<italic>parC</italic>
</td>
<td valign="middle" align="center">Mutant</td>
<td valign="middle" align="center">69<xref ref-type="table-fn" rid="fnT2_3">
<sup>c</sup>
</xref>
</td>
<td valign="middle" align="center">3<xref ref-type="table-fn" rid="fnT2_4">
<sup>d</sup>
</xref>
</td>
<td valign="middle" align="center">72</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Wild-type</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">26</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>1 A2058C, 7 A2058G, 3 A2058T, 0 A2059C, 50 A2059G, 0 A2059T, 6 WT/A2059G, 1 WT/A2058G mutations were included.</p>
</fn>
<fn id="fnT2_2">
<label>b</label>
<p>Determined to be WT by sequencing, but WT/A2059G by nested RT-PCR.</p>
</fn>
<fn id="fnT2_3">
<label>c</label>
<p>2 A247C (S83R), 43 G248T (S83I), 3 G248A (S83N), 4 G259A (D87N), 12 G259T (D87Y), 0 A260G (D87G), 1 G248T (S83I)/G259T (D87Y) or G248T (S83I)/G259T (D87Y)/WT, 1 WT/G259A (D87N), 3 WT/G248T (S83I) were included.</p>
</fn>
<fn id="fnT2_4">
<label>d</label>
<p>1 WT by sequencing, but WT/G259A (D87N) by nested RT-PCR; 2 WT by sequencing, but WT/G248T (S83I) by nested RT-PCR.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The sensitivity and specificity of <italic>23S rRNA</italic> were 100% (95% CI; 93.3 - 100) and 94.3% (95% CI; 79.4 - 99.0), and the consistency was 98% (95% CI; 92.5 - 99.7) with a <italic>kappa</italic> value of 0.96 (<italic>P</italic> &lt; 0.001). The sensitivity for <italic>parC</italic> was 100% (95% CI; 93.4 - 100), the specificity was 89.7% (95% CI; 71.5 - 97.3) and the consistency was 96.9% (95% CI; 90.7 - 99.2). The <italic>kappa</italic> value was 0.92 (<italic>P</italic> &lt; 0.001).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The guideline-recommended accompanying detection of macrolide resistance-associated <italic>23S rRNA</italic> mutations in MG has been widely used for individualized treatment of MG infection in some areas, including the UK, USA and Australia. However, there is still debate on how to predict the therapeutic response to fluoroquinolones by MG genotypes, as studies have not found a strong concordance between them (<xref ref-type="bibr" rid="B16">Manhart and Jensen, 2020</xref>; <xref ref-type="bibr" rid="B21">Sweeney et&#xa0;al., 2022</xref>). In China, our previous study showed that the prevalence rate of <italic>23S rRNA</italic> mutations at A2058 and A2059 positions in MG samples was 64%, and the amino acid substitution rate of <italic>parC</italic> S83 and D87 was 67.5% (<xref ref-type="bibr" rid="B12">Li et&#xa0;al., 2023</xref>). In such areas with high mutation rates, it is particularly important to try to estimate both macrolide and fluoroquinolone resistance.</p>
<p>In recent years, in addition to the sequencing methods, researchers have developed a variety of methods to detect <italic>23S rRNA</italic> or <italic>parC</italic> resistance mutation sites in <italic>Mycoplasma genitalium</italic>, including high-resolution melting curve PCR (HRM-PCR) (<xref ref-type="bibr" rid="B24">Twin et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B13">Li et&#xa0;al., 2022</xref>), amplification refractory mutation system PCR (ARMS-PCR) (<xref ref-type="bibr" rid="B25">Wold et&#xa0;al., 2015</xref>), and commercial kits based on multiplex fluorescent PCR methods (<xref ref-type="bibr" rid="B11">Le Roy et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B6">Gardette et&#xa0;al., 2022</xref>).</p>
<p>Compared to sequencing, the established nested real-time PCR method could be performed in most clinical laboratories (fluorescent PCR instrument is also the main equipment for SARS-CoV-2 detection), but this method takes less time with high sensitivity and specificity. In addition, the result of this method is more intuitive than HRM technologies. Compared with the existing real-time fluorescent PCR-based commercial kits, this assay can detect two resistance-related genes simultaneously and can be expanded by designing probes according to the local genotypes. However, the assay has some limitations. Firstly, cross-reaction with <italic>Mycoplasma pneumoniae</italic> may occur when <italic>23S rRNA</italic> mutations are detected, so the relevant primers need further adjustment. Secondly, each sample requires sixteen parallel reactions to be performed. To enhance detection throughput and decrease expenses, it is feasible to apply distinct fluorescence markers for labelling probes on the same locus. Thus, mutations at the same locus can be detected in combination. In short, this research shares a practical tool for monitoring macrolide and fluoroquinolone resistance of <italic>Mycoplasma genitalium</italic> in urogenital swab specimens.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Medical Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>LL: Funding acquisition, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Project administration. WH: Methodology, Validation, Writing &#x2013; original draft. YY: Methodology, Validation, Writing &#x2013; original draft. JL: Data curation, Formal Analysis, Writing &#x2013; original draft. XF: Data curation, Formal Analysis, Writing &#x2013; original draft. XP: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Supervision.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2023.1271392/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2023.1271392/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>The cross reaction of the nested RT-PCR assay with other common pathogens.</p>
</caption>
</supplementary-material>
</sec>
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