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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2023.1130762</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title><italic>Mycoplasma genitalium</italic> prevalence, antimicrobial resistance-associated mutations, and coinfections with non-viral sexually transmitted infections in high-risk populations in Guatemala, Malta, Morocco, Peru and South Africa, 2019&#x2013;2021</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shipitsyna</surname>
<given-names>Elena</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kularatne</surname>
<given-names>Ranmini</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Golparian</surname>
<given-names>Daniel</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#x00FC;ller</surname>
<given-names>Etienne E.</given-names>
</name>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/565684/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vargas</surname>
<given-names>Silver K.</given-names>
</name>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hadad</surname>
<given-names>Ronza</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1587185/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Padovese</surname>
<given-names>Valeska</given-names>
</name>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hancali</surname>
<given-names>Amina</given-names>
</name>
<xref rid="aff8" ref-type="aff"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alvarez</surname>
<given-names>Christian S.</given-names>
</name>
<xref rid="aff9" ref-type="aff"><sup>9</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1892601/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oumzil</surname>
<given-names>Hicham</given-names>
</name>
<xref rid="aff8" ref-type="aff"><sup>8</sup></xref>
<xref rid="aff10" ref-type="aff"><sup>10</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2179488/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Camey</surname>
<given-names>Elsy</given-names>
</name>
<xref rid="aff9" ref-type="aff"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Blondeel</surname>
<given-names>Karel</given-names>
</name>
<xref rid="aff11" ref-type="aff"><sup>11</sup></xref>
<xref rid="aff12" ref-type="aff"><sup>12</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Toskin</surname>
<given-names>Igor</given-names>
</name>
<xref rid="aff11" ref-type="aff"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Unemo</surname>
<given-names>Magnus</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff13" ref-type="aff"><sup>13</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/263975/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>World Health Organization Collaborating Centre for Gonorrhoea and Other STIs, Department of Laboratory Medicine, Microbiology, Faculty of Medicine and Health, &#x00D6;rebro University</institution>, <addr-line>&#x00D6;rebro</addr-line>, <country>Sweden</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Medical Microbiology, D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology</institution>, <addr-line>St. Petersburg</addr-line>, <country>Russia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Labtests Laboratory and Head Office, Mt Wellington</institution>, <addr-line>Auckland</addr-line>, <country>New Zealand</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Clinical Microbiology &#x0026; Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand</institution>, <addr-line>Johannesburg</addr-line>, <country>South Africa</country></aff>
<aff id="aff5"><sup>5</sup><institution>Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service</institution>, <addr-line>Johannesburg</addr-line>, <country>South Africa</country></aff>
<aff id="aff6"><sup>6</sup><institution>School of Public Health and Administration, Centre for Interdisciplinary Investigation in Sexuality, AIDS, Society and Laboratory of Sexual Health, Universidad Peruana Cayetano Heredia, Universidad Peruana Cayetano Heredia</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<aff id="aff7"><sup>7</sup><institution>Genitourinary Clinic, Department of Dermatology and Venereology, Mater Dei Hospital</institution>, <addr-line>Msida</addr-line>, <country>Malta</country></aff>
<aff id="aff8"><sup>8</sup><institution>STIs Laboratory, National Institute of Hygiene, Ministry of Health</institution>, <addr-line>Rabat</addr-line>, <country>Morocco</country></aff>
<aff id="aff9"><sup>9</sup><institution>Sida y Sociedad ONG (SISO)</institution>, <addr-line>Escuintla</addr-line>, <country>Guatemala</country></aff>
<aff id="aff10"><sup>10</sup><institution>Faculty of Medicine and Pharmacy, University Mohamed V</institution>, <addr-line>Rabat</addr-line>, <country>Morocco</country></aff>
<aff id="aff11"><sup>11</sup><institution>Department of Sexual and Reproductive Health and Research, World Health Organization</institution>, <addr-line>Geneva</addr-line>, <country>Switzerland</country></aff>
<aff id="aff12"><sup>12</sup><institution>Faculty of Medicine and Health Sciences, Ghent University</institution>, <addr-line>Ghent</addr-line>, <country>Belgium</country></aff>
<aff id="aff13"><sup>13</sup><institution>Institute for Global Health, University College London (UCL)</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Hong-xia Ma, Jilin Agriculture University, China</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Jizhang Zhou, Chinese Academy of Agricultural Sciences, China; Phil Giffard, Charles Darwin University, Australia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Magnus Unemo, &#x02709; <email>magnus.unemo@regionorebrolan.se</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Infectious Agents and Disease, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1130762</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Shipitsyna, Kularatne, Golparian, M&#x00FC;ller, Vargas, Hadad, Padovese, Hancali, Alvarez, Oumzil, Camey, Blondeel, Toskin and Unemo.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Shipitsyna, Kularatne, Golparian, M&#x00FC;ller, Vargas, Hadad, Padovese, Hancali, Alvarez, Oumzil, Camey, Blondeel, Toskin and Unemo</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>
<p>The prevalence of <italic>Mycoplasma genitalium</italic> (MG) and MG antimicrobial resistance (AMR) appear to be high internationally, however, prevalence data remain lacking globally. We evaluated the prevalence of MG and MG AMR-associated mutations in men who have sex with men (MSM) in Malta and Peru and women at-risk for sexually transmitted infections in Guatemala, South Africa, and Morocco; five countries in four WHO regions mostly lacking MG prevalence and AMR data, and estimated MG coinfections with <italic>Chlamydia trachomatis</italic> (CT), <italic>Neisseria gonorrhoeae</italic> (NG), and <italic>Trichomonas vaginalis</italic> (TV). Male urine and anorectal samples, and vaginal samples were tested for MG, CT, NG, and TV (only vaginal samples) using Aptima assays (Hologic). AMR-associated mutations in the MG 23S rRNA gene and <italic>parC</italic> gene were identified using ResistancePlus MG kit (SpeeDx) or Sanger sequencing. In total, 1,425 MSM and 1,398 women at-risk were recruited. MG was detected in 14.7% of MSM (10.0% in Malta and 20.0% Peru) and in 19.1% of women at-risk (12.4% in Guatemala, 16.0% Morocco, 22.1% South Africa). The prevalence of 23S rRNA and <italic>parC</italic> mutations among MSM was 68.1 and 29.0% (Malta), and 65.9 and 5.6% (Peru), respectively. Among women at-risk, 23S rRNA and <italic>parC</italic> mutations were revealed in 4.8 and 0% (Guatemala), 11.6 and 6.7% (Morocco), and 2.4 and 3.7% (South Africa), respectively. CT was the most frequent single coinfection with MG (in 2.6% of MSM and 4.5% of women at-risk), compared to NG&#x2009;+&#x2009;MG found in 1.3 and 1.0%, respectively, and TV&#x2009;+&#x2009;MG detected in 2.8% of women at-risk. In conclusion, MG is prevalent worldwide and enhanced aetiological MG diagnosis, linked to clinical routine detection of 23S rRNA mutations, in symptomatic patients should be implemented, where feasible. Surveillance of MG AMR and treatment outcome would be exceedingly valuable, nationally and internationally. High levels of AMR in MSM support avoiding screening for and treatment of MG in asymptomatic MSM and general population. Ultimately, novel therapeutic antimicrobials and/or strategies, such as resistance-guided sequential therapy, and ideally an effective MG vaccine are essential.</p>
</abstract>
<kwd-group>
<kwd><italic>M. genitalium</italic> prevalence and antimicrobial resistance</kwd>
<kwd>Mycoplasma genitalium</kwd>
<kwd>men who have sex with men</kwd>
<kwd>women at-risk</kwd>
<kwd>prevalence</kwd>
<kwd>antimicrobial resistance</kwd>
<kwd>azithromycin</kwd>
<kwd>moxifloxacin</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="9"/>
<word-count count="7969"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p><italic>Mycoplasma genitalium</italic> (MG) is a frequent cause of non-gonococcal urethritis in men, and is associated with urethritis/cervicitis, pelvic inflammatory disease, endometritis and likely infertility in women (<xref ref-type="bibr" rid="ref22">Lis et al., 2015</xref>; <xref ref-type="bibr" rid="ref13">Horner and Martin, 2017</xref>). MG prevalence data are mainly available in North America (United States and Canada), European Union (mostly Scandinavia and the United Kingdom), Australia, and Japan (<xref ref-type="bibr" rid="ref1">Baumann et al., 2018</xref>). Accordingly, MG prevalence and antimicrobial resistance (AMR) data are mainly absent in the World Health Organisation (WHO) African Region, WHO Eastern Mediterranean Region, and Latin America and the Caribbean belonging to the WHO Region of Americas (<xref ref-type="bibr" rid="ref1">Baumann et al., 2018</xref>; <xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>; <xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>). Additionally, in many countries worldwide aetiological diagnosis of MG infections is lacking, and mainly syndromic management is used (<xref ref-type="bibr" rid="ref45">Wi et al., 2019</xref>).</p>
<p>Similar to other international or national MG management guidelines, the 2021 European guideline on the management of MG infections recommends, for diagnosed MG infections, macrolides (azithromycin/josamycin) as first-line treatment in the absence of macrolide resistance-associated mutations (MRAMs) and the fluoroquinolone moxifloxacin when MRAMs are detected or as second-line treatment for cases with macrolide treatment failures (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>). The resistance in MG to macrolides has been rising dramatically during the last decade internationally (<xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>). Also, the resistance to fluoroquinolones has increased in several settings, and occasional untreatable cases are already being identified (<xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>). MG resistance to macrolides is predominantly caused by 23S rRNA gene mutations at nucleotide position A2058 or A2059 (<italic>Escherichia coli</italic> numbering), and moxifloxacin resistance is primarily mediated by mutations in ParC S83 and D87 codons (MG numbering) (<xref ref-type="bibr" rid="ref41">Unemo and Jensen, 2017</xref>). Appropriate surveillance data on AMR-associated mutations in MG are essential for effective management and control of MG infections, but global AMR data remain very scarce (<xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>). However, a Global MG AMR programme, in line with the WHO Global Gonococcal Antimicrobial Surveillance Programme (WHO GASP) (<xref ref-type="bibr" rid="ref42">Unemo et al., 2021</xref>), has been discussed.</p>
<p>The Aptima MG assay (Hologic, San Diego, United States) was the first MG diagnostic assay that obtained US FDA approval and this NAAT has been shown to have 20&#x2013;25% higher sensitivity, with retention of high specificity, compared to previously used diagnostic PCRs (<xref ref-type="bibr" rid="ref43">Unemo et al., 2018</xref>; <xref ref-type="bibr" rid="ref37">Shipitsyna and Unemo, 2020</xref>). Comprehensive global prevalence data on MG infections and MG resistance to macrolides and fluoroquinolones are essential for public health purposes, to guide evidence-based prevention, management and control of MG infections, and to inform refinements of aetiologically-based management guidelines as well as syndromic management guidelines.</p>
<p>The present study investigated the prevalence of MG infections in sexually transmitted infection (STI) clinic attendees [men who have sex with men (MSM) and women at-risk] using the Aptima MG assay (Hologic) in five countries belonging to four different WHO Regions Malta (WHO European Region), Guatemala and Peru (Latin America belonging to WHO Region of the Americas), South Africa (WHO African Region), and Morocco (WHO Eastern Mediterranean Region), which are all with exception of South Africa (<xref ref-type="bibr" rid="ref27">Muller et al., 2019</xref>; <xref ref-type="bibr" rid="ref24">Mahlangu et al., 2022</xref>; <xref ref-type="bibr" rid="ref18">Kularatne et al., 2022a</xref>,<xref ref-type="bibr" rid="ref19">b</xref>) completely lacking MG prevalence and AMR data. Furthermore, the prevalences of MRAMs in the MG 23S rRNA gene and quinolone resistance-associated mutations (QRAMs) in the MG <italic>parC</italic> gene (ParC S83 and D87 codons) were evaluated, and coinfections of MG with <italic>Chlamydia trachomatis</italic> (CT), <italic>Neisseria gonorrhoeae</italic> (NG), and <italic>Trichomonas vaginalis</italic> (TV) were assessed.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec3">
<title>Study population and specimens</title>
<p>This is an ancillary study to the comprehensive global clinical evaluation of point-of-care tests (POCTs), for non-viral sexually transmitted infections (STIs) conducted within the WHO initiative global ProSPeRo (global Project on STI POCT) Network in 14 countries across 27 data collection sites<xref rid="fn0004" ref-type="fn"><sup>1</sup></xref> and, accordingly, study participants were recruited through this ProSPeRo study for STI testing. Briefly, consecutive participants were recruited from October 2018 to January 2022 when attending for standard care and/or STI screening at six STI settings in five countries: Genitourinary Clinic, Mater Dei Hospital, Msida, Malta (included asymptomatic and symptomatic MSM); Centro de Salud Alberto Barton and Tahuantinsuyo Bajo, Lima, Peru (asymptomatic and symptomatic MSM); Obstetric and Gynaecological Clinic of the Regional National Hospital of Escuintla, Escuintla, Guatemala [asymptomatic and symptomatic (vast majority) women at-risk]; Centre d&#x2019;Information et de D&#x00E9;pistage Anonyme et Gratuit, Association Marocaine de Lutte contre le Sida, Rabat, Morocco [asymptomatic (majority) and symptomatic female commercial sex workers]; and Site C Youth Clinic, Khayelitsha district, Cape Town, South Africa [asymptomatic (vast majority) and symptomatic sexually-active adolescent girls and young women aged 18&#x2013;25&#x2009;years]. Detailed study participant metadata (demographic and clinical) will be presented in the main WHO ProSPeRo study.<xref rid="fn0004" ref-type="fn"><sup>1</sup></xref> Clinical specimens collected included urine in Aptima Urine Specimen Transport Tube (Hologic), self-collected anorectal swabs from MSM in Aptima Multitest Swab Specimen Collection Kit (Peru and Malta) and vaginal swabs (clinician/self-collected) from women at-risk in Aptima Vaginal Swab Specimen Collection tube (Hologic; Guatemala, Morocco, and South Africa). Specimens from Guatemala, Malta, Morocco, and Peru were stored at -70-80&#x00B0;C prior to shipment to the WHO Collaborating Centre for Gonorrhoea and Other STIs (WHO CC), Sweden for testing, while specimens from South Africa were tested at the STI Section, Centre for HIV and STIs, National Institute for Communicable Diseases (NICD), Johannesburg, South Africa.</p>
</sec>
<sec id="sec4">
<title>Testing for MG, CT, NG, TV, and AMR-associated mutations in MG</title>
<p>Testing of male urine and anorectal swabs for MG and CT/NG, and vaginal swabs for MG, CT/NG, and TV was performed using Aptima MG, Aptima Combo 2, and Aptima TV assays (Hologic), respectively, on the Panther Platform (Hologic), in accordance to the manufacturer&#x2019;s instructions (Hologic).</p>
<p>Specimens from Guatemala, Malta, Morocco, and Peru were examined for AMR-associated mutations at the WHO CC, Sweden, while South African specimens were examined at the NICD, South Africa. Genomic DNA was extracted from all MG-positive Aptima specimens using the QIASymphony DSP virus/pathogen kit (Qiagen GmbH, Hilden, Germany) on the QIASymphony instrument (Qiagen) at the WHO CC, Sweden and using an automated DNA extractor, QIAcube HT (Qiagen) at the NICD, South Africa, in accordance to the instructions of the manufacturer (Qiagen). At the WHO CC, Sweden, MRAMs were identified using the ResistancePlus MG kit (SpeeDx Pty. Ltd., NSW, Australia; <xref ref-type="bibr" rid="ref40">Tabrizi et al., 2017</xref>; <xref ref-type="bibr" rid="ref28">Murray et al., 2020a</xref>,<xref ref-type="bibr" rid="ref29">b</xref>; <xref ref-type="bibr" rid="ref21">Le Roy et al., 2020</xref>) and QRAMs detected with PCR amplification of a 220&#x2009;bp region of MG <italic>parC</italic> followed by Sanger sequencing, using previously described method (<xref ref-type="bibr" rid="ref36">Shipitsyna et al., 2017</xref>; <xref ref-type="bibr" rid="ref10">Hadad et al., 2018</xref>; <xref ref-type="bibr" rid="ref43">Unemo et al., 2018</xref>; <xref ref-type="bibr" rid="ref12">Hilmarsd&#x00F3;ttir et al., 2020</xref>) and PCR primers (<xref ref-type="bibr" rid="ref700">Deguchi et al., 2001</xref>; <xref ref-type="bibr" rid="ref35">Shimada et al., 2010</xref>). At the NICD, South Africa, MRAMs were identified using PCR amplification of a 147&#x2009;bp region of the MG 23S rRNA gene followed by Sanger sequencing using previously described primers (<xref ref-type="bibr" rid="ref16">Jensen et al., 2008</xref>), and methods (<xref ref-type="bibr" rid="ref27">Muller et al., 2019</xref>; <xref ref-type="bibr" rid="ref24">Mahlangu et al., 2022</xref>). QRAMs were detected by PCR amplification of a 220&#x2009;bp region of MG <italic>parC</italic> followed by Sanger sequencing using previously described primers (<xref ref-type="bibr" rid="ref700">Deguchi et al., 2001</xref>; <xref ref-type="bibr" rid="ref35">Shimada et al., 2010</xref>), as previously described (<xref ref-type="bibr" rid="ref27">Muller et al., 2019</xref>; <xref ref-type="bibr" rid="ref24">Mahlangu et al., 2022</xref>).</p>
</sec>
<sec id="sec5">
<title>Statistics</title>
<p>Prevalence of MG and MG AMR-associated mutations and coinfections with CT, NG, and TV were computed with 95% confidence intervals (CI 95%) for each setting and sample type. In MSM, a composite MG patient status was determined, i.e., a positive MG infection patient status was defined as MG detected in &#x2265;1 of the anatomical sites screened. Differences in prevalence of MG and MG AMR-associated mutations were estimated using chi-square statistics, or, when required, Fisher&#x2019;s exact test. All calculations were done with the StatPlus (AnalystSoft) software. Significance was set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
<sec id="sec6">
<title>Ethics approval</title>
<p>The study was approved by the corresponding Ethics Boards at the participating countries/settings, with written and verbal informed consent obtained from all study participants. All tested samples were anonymised and no personal identification data were available in the study.</p>
</sec>
</sec>
<sec id="sec7" sec-type="results">
<title>Results</title>
<sec id="sec8">
<title>Prevalence of MG</title>
<p>A total of 2,823 study participants (1,425 MSM and 1,398 women at-risk) were recruited. Of the 1,425 males, 659 were enrolled in Peru and 766 in Malta. Of the 1,398 females, 178 were recruited in Guatemala, 409 in Morocco, and 811 in South Africa.</p>
<p>For MG prevalence testing, 16 rectal, 39 urine, 22 vaginal samples were not available for testing, and 12 rectal, two urine, 17 vaginal samples were invalid (reported as invalid by the Panther Platform or lacking sufficient volume for the Aptima MG assay) for evaluation. All these specimens (<italic>n</italic>&#x2009;=&#x2009;108) were excluded from the analysis. Of the remaining 1,397 rectal samples and 1,384 urine samples from MSM, 173 (12.4%) and 60 (4.3%), respectively, were MG positive (<xref rid="tab1" ref-type="table">Table 1</xref>). MG was significantly more prevalent among MSM in Peru (composite MG patient status 20.0%) as compared to Malta (10.0%; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001). Furthermore, MG was significantly more frequent in anorectal samples (12.4%) than in urine samples (4.3%) (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.0001). Thus, 71.0% (147 of 207) of MG-infected MSM were only detected by testing anorectal swabs and had MG-negative urine samples (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Prevalence of <italic>Mycoplasma genitalium</italic> in high-risk populations in five countries in four WHO Regions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Population/ specimen</th>
<th align="center" valign="middle" colspan="6">% [CI 95%] (No. of positive tests/No. of valid tests)</th>
</tr>
<tr>
<th align="center" valign="middle">Malta</th>
<th align="center" valign="middle">Peru</th>
<th align="center" valign="middle">Guatemala</th>
<th align="center" valign="middle">Morocco</th>
<th align="center" valign="middle">South Africa</th>
<th align="center" valign="middle">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">MSM</td>
</tr>
<tr>
<td align="left" valign="top">Anorectal samples</td>
<td align="char" valign="top" char=".">8.1 [6.3&#x2013;10.3] (60/744)</td>
<td align="char" valign="top" char=".">17.3 [14.5&#x2013;20.5] (113/653)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">12.4 [10.7&#x2013;14.3] (173/1397)</td>
</tr>
<tr>
<td align="left" valign="top">Urine samples</td>
<td align="char" valign="top" char=".">3.3 [2.2&#x2013;5.0] (24/726)</td>
<td align="char" valign="top" char=".">5.5 [3.9&#x2013;7.6] (36/658)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">4.3 [3.4&#x2013;5.6] (60/1384)</td>
</tr>
<tr>
<td align="left" valign="top">MG patient status</td>
<td align="char" valign="top" char=".">10.0 [8.0&#x2013;12.5] (75/747)</td>
<td align="char" valign="top" char=".">20.0 [17.1&#x2013;23.3] (132/659)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">14.7 [12.9&#x2013;16.7] (207/1406)</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="7">Women at-risk</td>
</tr>
<tr>
<td align="left" valign="top">Vaginal samples</td>
<td/>
<td/>
<td align="char" valign="top" char=".">12.4 [8.1&#x2013;18.3] (22/178)</td>
<td align="char" valign="top" char=".">16.0 [12.6&#x2013;20.1] (63/393)</td>
<td align="char" valign="top" char=".">22.1 [19.3&#x2013;25.2] (174/788)</td>
<td align="char" valign="top" char=".">19.1 [17.0&#x2013;21.3] (259/1359)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>WHO, World Health Organisation; CI, confidence interval; No., number; MSM, men who have sex with men.</p>
</table-wrap-foot>
</table-wrap>
<p>In women at-risk, 259 of the 1,359 (19.1%) vaginal samples were MG positive. MG was significantly more prevalent in South Africa (22.1%) than in Guatemala (12.4%; <italic>p</italic>&#x2009;=&#x2009;0.0149) and Morocco (16.0%; <italic>p</italic>&#x2009;=&#x2009;0.0440), with no significant difference between Guatemala and Morocco.</p>
</sec>
<sec id="sec9">
<title>Prevalence of MG AMR-associated mutations</title>
<p>Of the 173 rectal, 60 urine, and 259 vaginal samples positive for MG, 107 (61.8%), 35 (58.3%), and 105 (40.5%) samples, respectively, were successfully tested for MRAMs, and 101 (58.4%), 17 (28.3%), and 98 (37.8%) samples, respectively, for QRAMs (<xref rid="tab2" ref-type="table">Table 2</xref>). In MSM in Malta and Peru, the overall prevalence (composite MG patient status) of MRAMs was very high (66.7%), with no significant difference between the countries (68.1% vs. 65.9%; <xref rid="tab2" ref-type="table">Table 2</xref>). QRAMs were significantly more prevalent in Malta as compared to Peru (29.0% vs. 5.6%, <italic>p</italic>&#x2009;=&#x2009;0.0104). Dual resistance mutations were also more frequent in Malta compared to in Peru (20.7% vs. 4.6%, <italic>p&#x2009;=</italic> 0.0707), but the difference did not reach statistical significance. In women at-risk in Guatemala, Morocco and South Africa, the prevalence of MRAMs, QRAMs, and dual resistance mutations were 6.7% (range, 2.4&#x2013;11.6%), 4.1% (range, 0&#x2013;6.7%), and 1.5% (range, 0&#x2013;3.3%), respectively (<xref rid="tab2" ref-type="table">Table 2</xref>), with no significant differences (likely because of the low number of samples) between the countries.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Prevalence of <italic>M. genitalium</italic> macrolide and quinolone resistance-associated mutations in high-risk populations in five countries in four WHO Regions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="6">% [CI 95%] (No. of positive tests/No. of valid tests)</th>
<th align="center" valign="top">Malta</th>
<th align="center" valign="top">Peru</th>
<th align="center" valign="top">Guatemala</th>
<th align="center" valign="top">Morocco</th>
<th align="center" valign="top">South Africa</th>
<th align="center" valign="top">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="7">MSM</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Anorectal samples</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for 23S rRNA mutations</td>
<td align="char" valign="top" char=".">60.0% (36/60)</td>
<td align="char" valign="top" char=".">62.8% (71/113)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">61.8% (107/173)</td>
</tr>
<tr>
<td align="left" valign="top">23S rRNA mutations<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="char" valign="top" char=".">72.2 [54.6&#x2013;85.2] (26/36)</td>
<td align="char" valign="top" char=".">63.4 [51.1&#x2013;74.3] (45/71)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">66.4 [56.5&#x2013;75.0] (71/107)</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for <italic>parC</italic> mutations</td>
<td align="char" valign="top" char=".">48.3% (29/60)</td>
<td align="char" valign="top" char=".">63.7% (72/113)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">58.4% (101/173)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83 or D87 mutations</td>
<td align="char" valign="top" char=".">24.1 [11.0&#x2013;44.0] (7/29)</td>
<td align="char" valign="top" char=".">4.2 [1.1&#x2013;12.5] (3/72)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">9.9 [5.1&#x2013;17.9] (10/101)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83I</td>
<td align="char" valign="top" char=".">13.8 [4.5&#x2013;32.6] (4/29)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;6.3] (0/72)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">4.0 [1.3&#x2013;10.4] (4/101)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83N</td>
<td align="char" valign="top" char=".">6.9 [1.2&#x2013;24.2] (2/29)</td>
<td align="char" valign="top" char=".">1.4 [0.1&#x2013;8.5] (1/72)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">3.0 [0.8&#x2013;9.1] (3/101)</td>
</tr>
<tr>
<td align="left" valign="top">ParC D87N</td>
<td align="char" valign="top" char=".">3.5 [0.2&#x2013;19.6] (1/29)</td>
<td align="char" valign="top" char=".">2.8 [0.5&#x2013;10.6] (2/72)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">3.0 [0.8&#x2013;9.1] (3/101)</td>
</tr>
<tr>
<td align="left" valign="top">Dual resistance mutations<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="char" valign="top" char=".">17.9 [6.8&#x2013;37.6] (5/28)</td>
<td align="char" valign="top" char=".">1.5 [0.1&#x2013;9.3] (1/66)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">6.4 [2.6&#x2013;13.9] (6/94)</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="7">Urine samples</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for 23S rRNA mutations</td>
<td align="char" valign="top" char=".">62.5% (15/24)</td>
<td align="char" valign="top" char=".">55.6% (20/36)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">58.3% (35/60)</td>
</tr>
<tr>
<td align="left" valign="top">23S rRNA mutations<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="char" valign="top" char=".">53.3 [27.4&#x2013;77.7] (8/15)</td>
<td align="char" valign="top" char=".">45.0 [23.8&#x2013;68.0] (9/20)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">48.6 [31.7&#x2013;65.7] (17/35)</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for <italic>parC</italic> mutations</td>
<td align="char" valign="top" char=".">20.8% (5/24)</td>
<td align="char" valign="top" char=".">33.3% (12/36)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">28.3% (17/60)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83 or D87 mutations</td>
<td align="char" valign="top" char=".">40.0 [7.3&#x2013;83.0] (2/5)</td>
<td align="char" valign="top" char=".">8.3 [0.4&#x2013;40.2] (1/12)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">17.7 [4.7&#x2013;44.2] (3/17)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83I</td>
<td align="char" valign="top" char=".">20.0 [1.1&#x2013;70.1] (1/5)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;30.1] (0/12)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">5.9 [0.3&#x2013;30.8] (1/17)</td>
</tr>
<tr>
<td align="left" valign="top">ParC D87N</td>
<td align="char" valign="top" char=".">20.0 [1.1&#x2013;70.1] (1/5)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;30.1] (0/12)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">5.9 [0.3&#x2013;30.8] (1/17)</td>
</tr>
<tr>
<td align="left" valign="top">ParC D87H</td>
<td align="char" valign="top" char=".">0 [0&#x2013;53.7] (0/5)</td>
<td align="char" valign="top" char=".">8.3 [0.4&#x2013;40.2] (1/12)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">5.9 [0.3&#x2013;30.8] (1/17)</td>
</tr>
<tr>
<td align="left" valign="top">Dual resistance mutations<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="char" valign="top" char=".">20.0 [1.1&#x2013;70.1] (1/5)</td>
<td align="char" valign="top" char=".">9.1 [0.5&#x2013;42.9] (1/11)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">12.5 [2.2&#x2013;39.6] (2/16)</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="7">MG patient status</td>
</tr>
<tr>
<td align="left" valign="top">23S rRNA mutations<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td align="char" valign="top" char=".">68.1 [52.8&#x2013;80.5] (32/47)</td>
<td align="char" valign="top" char=".">65.9 [54.5&#x2013;75.7] (54/82)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">66.7 [57.8&#x2013;74.6] (86/129)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83 or D87 mutations</td>
<td align="char" valign="top" char=".">29.0 [14.9&#x2013;48.2] (9/31)</td>
<td align="char" valign="top" char=".">5. 6 [1.8&#x2013;14.4] (4/72)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">12.6 [7.2&#x2013;21.0] (13/103)</td>
</tr>
<tr>
<td align="left" valign="top">Dual resistance mutations<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td align="char" valign="top" char=".">20.7 [8.7&#x2013;40.3] (6/29)</td>
<td align="char" valign="top" char=".">4.6 [0.8&#x2013;16.7] (2/44)</td>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">11.0 [5.2&#x2013;21.0] (8/73)</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="7">Women at-risk</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="7">Vaginal samples</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for 23S rRNA mutations</td>
<td/>
<td/>
<td align="char" valign="top" char=".">95.5% (21/22)</td>
<td align="char" valign="top" char=".">68.3% (43/63)</td>
<td align="char" valign="top" char=".">23.6% (41/174)</td>
<td align="char" valign="top" char=".">40.5% (105/259)</td>
</tr>
<tr>
<td align="left" valign="top">23S rRNA mutations<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
<td/>
<td/>
<td align="char" valign="top" char=".">4.8 [0.3&#x2013;25.9] (1/21)</td>
<td align="char" valign="top" char=".">11.6 [4.4&#x2013;25.9] (5/43)</td>
<td align="char" valign="top" char=".">2.4 [0.1&#x2013;14.4] (1/41)</td>
<td align="char" valign="top" char=".">6.7 [3.0&#x2013;13.7] (7/105)</td>
</tr>
<tr>
<td align="left" valign="top">Typeable for <italic>parC</italic> mutations</td>
<td/>
<td/>
<td align="char" valign="top" char=".">63.6% (14/22)</td>
<td align="char" valign="top" char=".">47.6% (30/63)</td>
<td align="char" valign="top" char=".">31.0 (54/174)</td>
<td align="char" valign="top" char=".">37.8% (98/259)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83 or D87 mutations</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0 [0&#x2013;26.8] (0/14)</td>
<td align="char" valign="top" char=".">6.7 [1.2&#x2013;23.5] (2/30)</td>
<td align="char" valign="top" char=".">3.7 [0.6&#x2013;13.8] (2/54)</td>
<td align="char" valign="top" char=".">4.1 [1.3&#x2013;10.7] (4/98)</td>
</tr>
<tr>
<td align="left" valign="top">ParC S83I</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0 [0&#x2013;26.8] (0/14)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;14.1] (0/30)</td>
<td align="char" valign="top" char=".">3.7 [0.6&#x2013;13.8] (2/54)</td>
<td align="char" valign="top" char=".">2.0 [0.4&#x2013;7.9] (2/98)</td>
</tr>
<tr>
<td align="left" valign="top">ParC D87N</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0 [0&#x2013;26.8] (0/14)</td>
<td align="char" valign="top" char=".">6.7 [1.2&#x2013;23.5] (2/30)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;8.3] (0/54)</td>
<td align="char" valign="top" char=".">2.0 [0.4&#x2013;7.9] (2/98)</td>
</tr>
<tr>
<td align="left" valign="top">Dual resistance mutations<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref></td>
<td/>
<td/>
<td align="char" valign="top" char=".">0 [0&#x2013;26.8] (0/14)</td>
<td align="char" valign="top" char=".">3.3 [0.2&#x2013;19.1] (1/30)</td>
<td align="char" valign="top" char=".">0 [0&#x2013;17.8] (0/23)</td>
<td align="char" valign="top" char=".">1.5 [0.1&#x2013;9.1] (1/67)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>WHO, World Health Organisation; CI, confidence interval; No., number; MSM, men who have sex with men.</p>
<fn id="tfn1">
<label>a</label>
<p>23S rRNA A2058G, A2059G, A2058T, and A2058C gene mutations are detected combined using the ResistancePlus MG kit (SpeeDx Pty. Ltd, NSW, Australia; <xref ref-type="bibr" rid="ref21">Le Roy et al., 2020</xref>).</p>
</fn>
<fn id="tfn2">
<label>b</label>
<p>Mutations in both 23S rRNA A2058/A2059 and ParC S83/D87.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec10">
<title>Prevalence of CT, NG, TV and coinfections with MG</title>
<p>The prevalence of CT and NG in MSM was 14.4% (197/1370, range, 14.1&#x2013;14.7%) and 8.8% (121/1372, range, 7.3&#x2013;10.5%), respectively. In women at-risk, CT, NG, and TV were detected in 29.5% (405/1371; range, 13.5&#x2013;37.9%), 12.6% (172/1365; range, 1.1&#x2013;20.2%), and 22.2% (303/1368; range, 10.7&#x2013;39.8%) of women, respectively. <xref rid="tab3" ref-type="table">Table 3</xref> summarises the prevalence of MG coinfection with CT, NG, and TV for the study participants with known status for all STIs tested (1,364 MSM and 1,348 women at-risk). MG/CT and MG/NG coinfections were detected in 2.6% (range, 2.1&#x2013;3.2%) and 1.3% (range, 0.8&#x2013;1.7%) of MSM, respectively. In women at-risk, MG/CT, MG/NG, and MG/TV coinfections were found in 4.5% (range, 1.3&#x2013;6.8%), 1.0% (range, 0&#x2013;1.7%), and 2.8% (range, 1.9&#x2013;4.9%) of women, respectively. Combinations of MG/CT/NG, MG/CT/TV, and MG/NG/TV were revealed in 1.5% (range, 0&#x2013;2.2%), 2.1% (1.1&#x2013;3.6%), and 0.1% (range, 0&#x2013;0.6%) of women at-risk, respectively. In five (0.4%) women (one from Morocco and four from South Africa), all four STI pathogens were detected (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Infections with <italic>M. genitalium</italic>, <italic>Chlamydia trachomatis, Neisseria gonorrhoeae,</italic> and <italic>Trichomonas vaginalis</italic>, including coinfections, in high-risk populations in five countries in four WHO Regions.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="3">STI agents</th>
<th align="center" valign="middle" colspan="7">% [CI 95%], No. of study participants</th>
</tr>
<tr>
<th align="center" valign="middle" colspan="3">MSM</th>
<th align="center" valign="middle" colspan="4">Women at-risk</th>
</tr>
<tr>
<th align="center" valign="middle">Malta (<italic>n</italic>=714<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">Peru (<italic>n</italic>=650<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">All MSM (<italic>n</italic>=1364<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">Guatemala (<italic>n</italic>=178<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">Morocco (<italic>n</italic>=392<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">South Africa (<italic>n</italic>=778<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
<th align="center" valign="middle">All women at-risk (<italic>n</italic>=1348<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">MG only</td>
<td align="char" valign="top" char=".">7.1 [5.4&#x2013;9.3], 51</td>
<td align="char" valign="top" char=".">14.2 [11.6&#x2013;17.1], 92</td>
<td align="char" valign="top" char=".">10.5 [8.9&#x2013;12.3], 143</td>
<td align="char" valign="top" char=".">6.8 [3.7&#x2013;11.8], 12</td>
<td align="char" valign="top" char=".">5.4 [3.4&#x2013;8.2], 21</td>
<td align="char" valign="top" char=".">7.7 [6.0&#x2013;9.9], 60</td>
<td align="char" valign="top" char=".">6.9 [5.6&#x2013;8.4], 93</td>
</tr>
<tr>
<td align="left" valign="top">MG and CT</td>
<td align="char" valign="top" char=".">2.1 [1.2&#x2013;3.5], 15</td>
<td align="char" valign="top" char=".">3.2 [2.1&#x2013;5.0], 21</td>
<td align="char" valign="top" char=".">2.6 [1.9&#x2013;3.7], 36</td>
<td align="char" valign="top" char=".">1.7 [0.4&#x2013;5.3], 3</td>
<td align="char" valign="top" char=".">1.3 [0.5&#x2013;3.1], 5</td>
<td align="char" valign="top" char=".">6.8 [5.2&#x2013;8.9], 53</td>
<td align="char" valign="top" char=".">4.5 [3.5&#x2013;5.8], 61</td>
</tr>
<tr>
<td align="left" valign="top">MG and NG</td>
<td align="char" valign="top" char=".">0.8 [0.3&#x2013;1.9], 6</td>
<td align="char" valign="top" char=".">1.7 [0.9&#x2013;3.1], 11</td>
<td align="char" valign="top" char=".">1.3 [0.8&#x2013;2.0], 17</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">0 [0&#x2013;1.2], 0</td>
<td align="char" valign="top" char=".">1.7 [0.9&#x2013;2.9], 13</td>
<td align="char" valign="top" char=".">1.0 [0.5&#x2013;1.7], 13</td>
</tr>
<tr>
<td align="left" valign="top">MG and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">2.3 [0.7&#x2013;6.0], 4</td>
<td align="char" valign="top" char=".">4.9 [3.0&#x2013;7.6], 19</td>
<td align="char" valign="top" char=".">1.9 [1.1&#x2013;3.2], 15</td>
<td align="char" valign="top" char=".">2.8 [2.0&#x2013;3.9], 38</td>
</tr>
<tr>
<td align="left" valign="top">MG, CT, and NG</td>
<td align="char" valign="top" char=".">0 [0&#x2013;0.7], 0</td>
<td align="char" valign="top" char=".">0.8 [0.3&#x2013;1.9], 5</td>
<td align="char" valign="top" char=".">0.4 [0.1&#x2013;0.9], 5</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">0.8 [0.2&#x2013;2.4], 3</td>
<td align="char" valign="top" char=".">2.2 [1.3&#x2013;3.6], 17</td>
<td align="char" valign="top" char=".">1.5 [0.9&#x2013;2.3], 20</td>
</tr>
<tr>
<td align="left" valign="top">MG, CT, and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">1.1 [0.2&#x2013;4.4], 2</td>
<td align="char" valign="top" char=".">3.6 [2.0&#x2013;6.1], 14</td>
<td align="char" valign="top" char=".">1.5 [0.8&#x2013;2.8], 12</td>
<td align="char" valign="top" char=".">2.1 [1.4&#x2013;3.0], 28</td>
</tr>
<tr>
<td align="left" valign="top">MG, NG, and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">0.6 [0.03&#x2013;3.6], 1</td>
<td align="char" valign="top" char=".">0 [0&#x2013;1.2], 0</td>
<td align="char" valign="top" char=".">0 [0&#x2013;0.6], 0</td>
<td align="char" valign="top" char=".">0.1 [0&#x2013;0.5], 1</td>
</tr>
<tr>
<td align="left" valign="top">MG, CT, NG, and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">0.3 [0.01&#x2013;1.7], 1</td>
<td align="char" valign="top" char=".">0.5 [0.2&#x2013;1.4], 4</td>
<td align="char" valign="top" char=".">0.4 [0.1&#x2013;0.9], 5</td>
</tr>
<tr>
<td align="left" valign="top">CT only</td>
<td align="char" valign="top" char=".">9.2 [7.3&#x2013;11.7], 66</td>
<td align="char" valign="top" char=".">7.7 [5.8&#x2013;10.1], 50</td>
<td align="char" valign="top" char=".">8.5 [7.1&#x2013;10.1], 116</td>
<td align="char" valign="top" char=".">7.9 [4.5&#x2013;13.1], 14</td>
<td align="char" valign="top" char=".">7.1 [4.9&#x2013;10.3], 28</td>
<td align="char" valign="top" char=".">15.7 [13.2&#x2013;18.5], 122</td>
<td align="char" valign="top" char=".">12.2 [10.5&#x2013;14.1], 164</td>
</tr>
<tr>
<td align="left" valign="top">CT and NG</td>
<td align="char" valign="top" char=".">2.5 [1.6&#x2013;4.0], 18</td>
<td align="char" valign="top" char=".">2.9 [1.8&#x2013;4.6], 19</td>
<td align="char" valign="top" char=".">2.7 [1.9&#x2013;3.8], 37</td>
<td align="char" valign="top" char=".">0.6 [0.03&#x2013;3.6], 1</td>
<td align="char" valign="top" char=".">0.3 [0.01&#x2013;1.7], 1</td>
<td align="char" valign="top" char=".">7.2 [5.5&#x2013;9.3], 56</td>
<td align="char" valign="top" char=".">4.3 [3.3&#x2013;5.6], 58</td>
</tr>
<tr>
<td align="left" valign="top">CT and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">2.3 [0.7&#x2013;6.1], 4</td>
<td align="char" valign="top" char=".">6.6 [4.5&#x2013;9.7], 26</td>
<td align="char" valign="top" char=".">2.7 [1.7&#x2013;4.2], 21</td>
<td align="char" valign="top" char=".">3.8 [2.9&#x2013;5.0], 51</td>
</tr>
<tr>
<td align="left" valign="top">CT, NG, and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">0.5 [0.1&#x2013;2.0], 2</td>
<td align="char" valign="top" char=".">1.5 [0.8&#x2013;2.8], 12</td>
<td align="char" valign="top" char=".">1.0 [0.6&#x2013;1.8], 14</td>
</tr>
<tr>
<td align="left" valign="top">NG only</td>
<td align="char" valign="top" char=".">3.6 [2.4&#x2013;5.4], 26</td>
<td align="char" valign="top" char=".">5.1 [3.6&#x2013;7.1], 33</td>
<td align="char" valign="top" char=".">4.3 [3.3&#x2013;5.6], 59</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">1.0 [0.3&#x2013;2.8], 4</td>
<td align="char" valign="top" char=".">5.5 [4.1&#x2013;7.4], 43</td>
<td align="char" valign="top" char=".">3.5 [2.6&#x2013;4.7], 47</td>
</tr>
<tr>
<td align="left" valign="top">NG and TV</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">0 [0&#x2013;2.6], 0</td>
<td align="char" valign="top" char=".">0 [0&#x2013;1.2], 0</td>
<td align="char" valign="top" char=".">1.4 [0.7&#x2013;2.6], 11</td>
<td align="char" valign="top" char=".">0.8 [0.4&#x2013;1.5], 11</td>
</tr>
<tr>
<td align="left" valign="top">TV only</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">NA</td>
<td align="char" valign="top" char=".">4.5 [2.1&#x2013;9.0], 8</td>
<td align="char" valign="top" char=".">24.2 [20.1&#x2013;28.8], 95</td>
<td align="char" valign="top" char=".">6.2 [4.6&#x2013;8.2], 48</td>
<td align="char" valign="top" char=".">11.2 [9.6&#x2013;13.0], 151</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>WHO, World Health Organization; CI, confidence interval; No., number; MSM, men who have sex with men; STI, sexually transmitted infection; MG, Mycoplasma genitalium; CT, Chlamydia trachomatis; NG, Neisseria gonorrhoeae; TV, Trichomonas vaginalis; NA, not applicable.</p>
<fn id="tfn3">
<label>a</label>
<p>No. of study participants with known status for MG, CT, and NG (MSM) and for MG, CT, NG, and TV (women at-risk).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec11" sec-type="discussions">
<title>Discussion</title>
<p>The present study including five countries in four WHO regions (on three continents), mostly lacking MG prevalence and AMR data, revealed a high MG prevalence, with significant geographical variations, in MSM (14.7%) and women at-risk (19.1%). In MSM, MG positivity was significantly higher in anorectal samples than in urine samples. The prevalence of MRAMs among MSM was very high in both Malta (68.1%) and Peru (65.9%), whereas QRAMs were significantly less frequent in Peru (5.6%) as compared to Malta (29.0%). Dual-resistance mutations were also much less prevalent in Peru compared to in Malta (4.6% vs. 20.7%), although this difference did not reach significance due to the low number of samples. In women at-risk, the prevalence of MRAMs, QRAMs, and dual resistance mutations were substantially lower (6.7, 4.1, and 1.5%, respectively), with no significant geographical variation. High and considerably varying prevalence of also the other non-viral STIs were recorded in both MSM and women at-risk.</p>
<p>The MG prevalence in asymptomatic and symptomatic MSM attending STI clinics in this study (20.0% in Peru and 10.0% in Malta) were substantially higher than those estimated in community-based (3.2%) and clinic-based (3.7%) studies in a recent meta-analysis (<xref ref-type="bibr" rid="ref1">Baumann et al., 2018</xref>). However, most recent studies reveal higher MG prevalence estimates among MSM; e.g., ranging from 6.9 to 19.0% in Belgium (<xref ref-type="bibr" rid="ref44">Van Praet et al., 2020</xref>), France (<xref ref-type="bibr" rid="ref2">Ber&#x00E7;ot et al., 2021</xref>), Australia (<xref ref-type="bibr" rid="ref4">Couldwell et al., 2018</xref>; <xref ref-type="bibr" rid="ref32">Read et al., 2019</xref>), and Germany (<xref ref-type="bibr" rid="ref14">Jansen et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Streeck et al., 2022</xref>). The considerable variance in the MG prevalence in different studies can be explained by geographical variance but also methodological differences. For example, in our study and the German studies (<xref ref-type="bibr" rid="ref14">Jansen et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Streeck et al., 2022</xref>), reporting the highest MG prevalences, the Aptima MG assay, which has been shown to have 20&#x2013;25% higher sensitivity compared to diagnostic MG PCRs (<xref ref-type="bibr" rid="ref43">Unemo et al., 2018</xref>; <xref ref-type="bibr" rid="ref37">Shipitsyna and Unemo, 2020</xref>; <xref ref-type="bibr" rid="ref34">Salado-Rasmussen et al., 2022</xref>), was utilized.</p>
<p>In this study, MG positivity in MSM in anorectal samples (12.4%) was substantially higher than in urine samples (4.3%), and 71% of MG-infected MSM would have been missed if anorectal swabs had not been tested. The substantially higher MG prevalence in anorectal compared to urine samples in MSM is in line with studies from Australia (<xref ref-type="bibr" rid="ref4">Couldwell et al., 2018</xref>; <xref ref-type="bibr" rid="ref32">Read et al., 2019</xref>) and Germany (<xref ref-type="bibr" rid="ref14">Jansen et al., 2020</xref>; <xref ref-type="bibr" rid="ref38">Streeck et al., 2022</xref>). However, in a recent French study the prevalence of MG in MSM was higher in urine (6.3%) as compared to anorectal samples (4.3%; <xref ref-type="bibr" rid="ref2">Ber&#x00E7;ot et al., 2021</xref>). Notably, in this study (<xref ref-type="bibr" rid="ref2">Ber&#x00E7;ot et al., 2021</xref>) different MG diagnostic methods were used for the divergent sample types, i.e., the <italic>C. trachomatis/Ureaplasma/M. genitalium</italic> Real-TM kit (Sacace, Biotechnologies, Italy) and Cobas TV/MG kit (Roche Diagnostics, United States) for urine and anorectal samples, respectively.</p>
<p>Among women at-risk, a high MG prevalence was revealed in all participating countries. The prevalence of MG in Guatemala (12.4%) and South Africa (22.1%) were mainly in line with the very few previous reports from Latin America and sub-Saharan Africa (<xref ref-type="bibr" rid="ref1">Baumann et al., 2018</xref>; <xref ref-type="bibr" rid="ref15">Jarolimova et al., 2022</xref>; <xref ref-type="bibr" rid="ref19">Kularatne et al., 2022b</xref>). The present study is the first to estimate MG prevalence in a high-risk female population (female commercial sex workers) in the WHO Eastern-Mediterranean region, i.e., in Morocco, which was shown to be high (13.5%).</p>
<p>A recent systematic review and meta-analysis regarding the prevalence of MRAMs and QRAMs in MG showed that global macrolide resistance increased significantly, from 10.0% before 2010 to 51.4% in 2016&#x2013;2017, whereas fluoroquinolone resistance prevalence remained relatively stable at around 8% (<xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>). Furthermore, substantial geographical variations in the prevalence of MRAMs and QRAMs were observed, with the highest MRAM prevalence in the WHO Western Pacific (68%) and Americas (67%) regions, and highest QRAM prevalence in Western Pacific region (14.3%; <xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>). In Europe, according to a recent review (<xref ref-type="bibr" rid="ref9">Fern&#x00E1;ndez-Huerta et al., 2020</xref>), many countries have MRAM prevalence &#x003E;50%, whereas QRAM prevalence is around 5%. However, this review included few studies of MSM. MSM appear significantly more likely to harbour macrolide-resistant MG infections than other populations (<xref ref-type="bibr" rid="ref4">Couldwell et al., 2018</xref>; <xref ref-type="bibr" rid="ref26">McIver et al., 2019</xref>; <xref ref-type="bibr" rid="ref3">Bradley et al., 2020</xref>; <xref ref-type="bibr" rid="ref2">Ber&#x00E7;ot et al., 2021</xref>; <xref ref-type="bibr" rid="ref7">De Salazar et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">De Baetselier et al., 2022</xref>). In Malta, which has been lacking any MG AMR data hitherto, MRAMs, QRAMs and dual resistance in MSM were detected at prevalence of 68.1, 29.0 and 20.7%, respectively. Similar high levels of MRAMs, QRAMs and dual resistance were recently reported among MSM in Spain (<xref ref-type="bibr" rid="ref7">De Salazar et al., 2021</xref>), Germany (<xref ref-type="bibr" rid="ref8">Dumke et al., 2019</xref>), and Belgium (<xref ref-type="bibr" rid="ref5">De Baetselier et al., 2021</xref>). Extraordinary high prevalence of MRAMs and QRAMs, i.e., 95.2 and 35.7%, respectively, have been found in MSM with recurrent STIs in a recent Belgian study (<xref ref-type="bibr" rid="ref6">De Baetselier et al., 2022</xref>). MSM, especially those recurrently infected with STIs, are assumed to play a key role in the emergence of AMR in MG (<xref ref-type="bibr" rid="ref6">De Baetselier et al., 2022</xref>), therefore the use of macrolides and fluoroquinolones should preferably be restricted in this population so as to prevent further emergence of dual-resistant MG infections. However, in the present study it is important to note that 6.9 and 1.4% of the samples in Malta and Peru, respectively, contained the ParC S83N mutation, and it is unclear if this mutation can cause an increased moxifloxacin MIC and treatment failure (<xref ref-type="bibr" rid="ref36">Shipitsyna et al., 2017</xref>; <xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>; <xref ref-type="bibr" rid="ref25">Manhart and Jensen, 2020</xref>). Previous studies have indicated that ParC S83R, S83I, D87N, and D87Y are most commonly associated with moxifloxacin treatment failure or <italic>in vitro</italic> resistance, and ParC S83I appears to show the strongest association with moxifloxacin treatment failure (<xref ref-type="bibr" rid="ref23">Machalek et al., 2020</xref>; <xref ref-type="bibr" rid="ref25">Manhart and Jensen, 2020</xref>; <xref ref-type="bibr" rid="ref28">Murray et al., 2020a</xref>,<xref ref-type="bibr" rid="ref29">b</xref>) and rapid POCTs detecting only ParC S83I might be very valuable (<xref ref-type="bibr" rid="ref39">Sweeney et al., 2022</xref>). In contrast, detection of ParC S83N may overestimate the prevalence of resistance to moxifloxacin. There are very few options for treatment of symptomatic MG infections with combined macrolide and quinolone resistance. Pristinamycin, minocycline or doxycycline can be used as alternative treatment (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>), however, these treatment regimens do not cure all MG cases and pristinamycin is not available in many countries. This necessitates the search into new treatment strategies and/or antimicrobials. In addition, despite anorectal testing for MG in MSM enabling detection of more MG infections, the 2021 European guideline on the management of MG infections recommends testing only in men with symptomatic proctitis where other aetiologies have been excluded, because there is a high risk of dual resistance in this population (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>). It has also been shown that, based on the limited effective treatment alternatives, offering MG screening to also asymptomatic MSM might slightly decrease the MG prevalence and incidence. However, this may additionally increase the selection of AMR and result in other negative consequences related to AMR and clinical management (e.g., unnecessary psychological morbidity from infections that do not need treatment; <xref ref-type="bibr" rid="ref31">Ong et al., 2021</xref>).</p>
<p>The present study evaluated MG AMR data from two African (Morocco, South Africa) and two Latin American (Guatemala, Peru) countries. Few studies from Africa have been published hitherto, all from South Africa. One study, testing samples from STI and HIV patients in 2007&#x2013;2014, revealed no MRAMs, and only one (0.4%) sample with QRAM (ParC D87Y) (<xref ref-type="bibr" rid="ref27">Muller et al., 2019</xref>). In 2011&#x2013;2012, no MRAMs or QRAMs were found in HIV-positive women (<xref ref-type="bibr" rid="ref30">Ong et al., 2019</xref>), but 9.8% of samples from sexually active women contained MRAMs (<xref ref-type="bibr" rid="ref11">Hay et al., 2015</xref>). In 2015&#x2013;2019, a single (1.1%) sample positive for both MRAMs and QRAMs was detected in men and women examined (<xref ref-type="bibr" rid="ref20">Laumen et al., 2021</xref>). Finally, in 2015&#x2013;2018 three (1.7%) samples containing MRAMs but no samples containing QRAMs were found among specimens from symptomatic primary health care centre attendees (adult women and men with genital discharge; <xref ref-type="bibr" rid="ref24">Mahlangu et al., 2022</xref>). Our present study identified low levels of MRAMs (2.4%) and relatively low levels of QRAMs (3.7%) among women at-risk attending a youth clinic in South Africa. This is the first study to estimate MG AMR in Morocco, Guatemala and Peru. Despite wide use of 1&#x2009;g single dose azithromycin in combination therapy for syndromic management of STIs in African and Latin American countries, we observed relatively low levels of MRAMs in women at-risk in South Africa, Guatemala and Morocco (2.4&#x2013;11.6%). However, the prevalence of MRAMs among MSM in Peru was extremely high (65.9%). QRAM prevalence was relatively low in these countries, both in women at-risk (0&#x2013;6.7%) and in MSM in Peru (5.6%). There is growing evidence that being MSM and recently having had an STI are strongly associated with MG MRAMs (<xref ref-type="bibr" rid="ref4">Couldwell et al., 2018</xref>; <xref ref-type="bibr" rid="ref26">McIver et al., 2019</xref>; <xref ref-type="bibr" rid="ref3">Bradley et al., 2020</xref>; <xref ref-type="bibr" rid="ref2">Ber&#x00E7;ot et al., 2021</xref>; <xref ref-type="bibr" rid="ref7">De Salazar et al., 2021</xref>; <xref ref-type="bibr" rid="ref6">De Baetselier et al., 2022</xref>), which can be attributed to the high prevalence of asymptomatic (frequently undiagnosed) MG infection, as well as frequent testing for other STIs leading to widespread use of single-dose azithromycin treatment for CT and NG. Notably, the prevalence of both MRAMs and QRAMs was substantially higher among MSM compared to women at-risk; however, these differences were also affected by the different countries where study participants were enrolled and that the level of success in the detection of MRAMs and QRAMs in the South African vaginal specimens were significantly lower (<xref rid="tab2" ref-type="table">Table 2</xref>), accordingly, no straight-forward comparison between populations can be performed.</p>
<p>High prevalence of also the other non-viral STIs (as single STIs or in combinations) were recorded in both MSM and women at-risk. All these prevalence estimates largely exceeded the WHO population-based estimates for the corresponding regions (<xref ref-type="bibr" rid="ref33">Rowley et al., 2019</xref>). Most of the study settings mainly use syndromic management for CT, NG and TV, which results in a lack of etiologic diagnosis and a vast overuse and misuse of antimicrobials for symptomatic STIs. Furthermore, this results also in a lack of detection and treatment of asymptomatic STIs, which effectively fuels the spread of the STIs. In these settings, it would be valuable to urgently implement more use of etiological diagnosis of non-viral STIs, such as CT, NG, TV, and MG, and increase the testing of both symptomatic and asymptomatic individuals, i.e., in line with evidence-based STI guidelines. Furthermore, strengthened preventive measures (e.g., information campaigns, promoted improved sexual behaviour and increased condom use); effective, accessible and affordable STI diagnosis and treatment; sexual contact tracing (including testing and treatment of contacts); and improved epidemiological surveillance would also be of high value.</p>
<p>The strengths of this study included the relatively large numbers of samples from five countries in four different WHO regions (on three continents), that mostly lack MG prevalence and AMR data. These samples were tested for the prevalence of MG, as well as coinfections with CT, NG, and TV, using the highly sensitive and specific Aptima assays (Hologic), which have been shown to have substantially higher sensitivity compared to diagnostic PCRs for STI detection (<xref ref-type="bibr" rid="ref43">Unemo et al., 2018</xref>; <xref ref-type="bibr" rid="ref37">Shipitsyna and Unemo, 2020</xref>; <xref ref-type="bibr" rid="ref34">Salado-Rasmussen et al., 2022</xref>). Furthermore, this study is the first to evaluate the prevalence of MG and MG AMR in high-risk populations from four countries (Malta, Peru, Morocco, and Guatemala). The limitations included the fact that no appropriate comparison of the prevalence data for MG and AMR could be performed between MSM and women at-risk at country-level, because both populations were not targeted for testing in any single country. Other limitations were: (i) the high failure rate in the AMR testing of some of the MG-positive Aptima samples, i.e., especially in the South African samples (possibly affected by the use of the SpeeDx ResistancePlus MG assay for MRAM detection, which has a high sensitivity from Aptima MG samples (<xref ref-type="bibr" rid="ref28">Murray et al., 2020a</xref>,<xref ref-type="bibr" rid="ref29">b</xref>), in samples from the other countries and performance of some MRAM and QRAM testing after sample storage &#x003E;3&#x2009;months), and (ii) the lack of data on treatment outcome for the women at-risk and MSM. Ideally, surveillance of both MG AMR-associated mutations and treatment failures should be performed.</p>
<p>In conclusion, MG is prevalent internationally and enhanced aetiological MG diagnosis, linked to clinical MRAM detection, in symptomatic individuals should be implemented, where feasible (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>). Effective containment of rapidly growing MG AMR requires representative surveillance of the prevalence of MRAMs and QRAMs in MG as well as MG treatment outcome at local, national and international levels. In MSM, testing anorectal swabs in addition to urine samples enables detection of approximately 70% more MG-infected men. However, extremely high prevalence of MRAMs in MSM support avoiding screening for and treatment of MG in asymptomatic MSM (<xref ref-type="bibr" rid="ref31">Ong et al., 2021</xref>) and in general for asymptomatic individuals (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>). Growing levels of dual resistance necessitates the development of novel therapeutic antimicrobials and therapeutic strategies, such as resistance-guided sequential therapy (<xref ref-type="bibr" rid="ref17">Jensen et al., 2022</xref>), for MG infections. Ultimately, an effective MG vaccine might become essential.</p>
</sec>
<sec id="sec12" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="sec13">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the corresponding Ethics Boards at the participating countries/settings, with written or verbal inform consent obtained from all study participants. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec14">
<title>Author contributions</title>
<p>ES, RK, KB, IT and MU designed and initiated the study. ES and MU coordinated the study, analysed all the data and wrote the manuscript. RK, SV, VP, CA, HO, AH and EC managed the study participants and provided Aptima samples for diagnosis. DG, EM and RH were responsible for the laboratory testing. ES, RK, DG, EM, SV, RH, VP, CA, HO, AH, EC, KB, IT and MU read, commented on and approved the final manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec15" sec-type="funding-information">
<title>Funding</title>
<p>In addition to Aptima tests provided by Hologic (see conflict of interest), the study was supported by the &#x00D6;rebro County Council Research Committee and the Foundation for Medical Research at &#x00D6;rebro University Hospital, &#x00D6;rebro, Sweden.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Hologic provided the Aptima <italic>M. genitalium</italic>, Aptima Combo 2, and Aptima <italic>T. vaginalis</italic> tests (special thanks to Philip Mueller and Damon Getman). However, no financial support for the testing was obtained, and Hologic had no role in data collection, analysis, interpretation or writing the paper.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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