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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2023.1103922</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Characterization and epidemiology of antimicrobial resistance patterns of <italic>Salmonella</italic> spp. and <italic>Staphylococcus</italic> spp. in free-ranging rhesus macaque (<italic>Macaca mulatta</italic>) at high-risk interfaces with people and livestock in Bangladesh</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Rahman</surname> <given-names>Md. Kaisar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2164721/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hassan</surname> <given-names>Mohammad Mahmudul</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1306427/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Islam</surname> <given-names>Shariful</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2049424/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rostal</surname> <given-names>Melinda K.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1925522/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Uddin</surname> <given-names>Md. Helal</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1350940/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hagan</surname> <given-names>Emily</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Samad</surname> <given-names>Mohammed Abdus</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1957792/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Flora</surname> <given-names>Meerjady Sabrina</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1384472/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Epstein</surname> <given-names>Jonathan H.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1198363/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Islam</surname> <given-names>Ariful</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1305986/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University</institution>, <addr-line>Chattogram</addr-line>, <country>Bangladesh</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Epidemiology, Disease Control and Research (IEDCR)</institution>, <addr-line>Dhaka</addr-line>, <country>Bangladesh</country></aff>
<aff id="aff3"><sup>3</sup><institution>EcoHealth Alliance</institution>, <addr-line>New York, NY</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Veterinary Medicine, Texas Tech University</institution>, <addr-line>Amarillo, TX</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Queensland Alliance for One Health Sciences, School of Veterinary Science, The University of Queensland</institution>, <addr-line>Brisbane, QLD</addr-line>, <country>Australia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Antimicrobial Resistance Action Center (ARAC), Bangladesh Livestock Research Institute</institution>, <addr-line>Savar</addr-line>, <country>Bangladesh</country></aff>
<aff id="aff7"><sup>7</sup><institution>Directorate General of Health Services</institution>, <addr-line>Dhaka</addr-line>, <country>Bangladesh</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ihab Habib, United Arab Emirates University, United Arab Emirates</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Maja Velhner, Scientific Veterinary Institute Novi Sad, Serbia; Pawin Padungtod, Food and Agriculture Organization of the United Nations, Vietnam</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ariful Islam &#x02709; <email>arif&#x00040;ecohealthalliance.org</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Veterinary Epidemiology and Economics, a section of the journal Frontiers in Veterinary Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1103922</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Rahman, Hassan, Islam, Rostal, Uddin, Hagan, Samad, Flora, Epstein and Islam.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Rahman, Hassan, Islam, Rostal, Uddin, Hagan, Samad, Flora, Epstein and Islam</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>Introduction</title>
<p>Antimicrobial resistance (AMR) is a growing global health threat for humans and animals. Environmental contamination of antimicrobials from human and domestic animal feces has been linked to AMR in wildlife populations, including rhesus macaques. This study aimed to describe the eco-epidemiology of AMR within <italic>Salmonella</italic> and <italic>Staphylococcus</italic> species isolated from rhesus macaques.</p></sec>
<sec>
<title>Methods</title>
<p>We followed macaque groups for 4 h per day (2 days) to observe the direct and indirect contact rate and type between macaques and people and livestock. We collected 399 freshly defecated, non-invasive fecal samples from macaques at seven sites in Bangladesh in January&#x02013;June 2017. Bacterial isolation and identification were conducted using culture, biochemical characteristics, and polymerase chain reaction (PCR). An antimicrobial susceptibility test (AST) for 12 antimicrobials for each organism was conducted using the Kirby&#x02013;Bauer disc diffusion method.</p></sec>
<sec>
<title>Results</title>
<p>The overall prevalence of <italic>Salmonella</italic> spp. and <italic>Staphylococcus</italic> spp. in rhesus macaques was 5% (<italic>n</italic> = 18; 95% CI: 3&#x02013;7%) and 16% (<italic>n</italic> = 64; 95% CI: 13&#x02013;20%), respectively. All the isolated <italic>Salmonella</italic> spp. and most of the <italic>Staphylococcus</italic> spp. (95%; 61/64; 95% CI: 86.9&#x02013;99%) were resistant to at least one antimicrobial. The odds of a fecal sample having antimicrobial-resistant <italic>Salmonella</italic> spp (OR = 6.6; CI: 0.9&#x02013;45.8, <italic>P</italic> = 0.05) and <italic>Staphylococcus</italic> spp. (OR = 5.6; CI: 1.2&#x02013;26, <italic>P</italic> = 0.02) were significantly higher in samples collected at peri-urban sites than those collected at rural and urban sites. <italic>Salmonella</italic> spp. were most frequently resistant to tetracycline (89%), azithromycin (83%), sulfamethoxazole-trimethoprim (50%), and nalidixic acid (44%). <italic>Staphylococcus</italic> spp. were found to be highly resistant to ampicillin (93%), methicillin (31%), clindamycin (26%), and rifampicin (18%). Both bacterial species produced colonies with multidrug resistance to up to seven antimicrobials. Direct and indirect contact rates (within 20 m for at least 15 min) and resource sharing between macaques and people were higher in urban sites, while macaque-livestock contact rates were higher in rural sites.</p></sec>
<sec>
<title>Discussion</title>
<p>The study shows that resistant microorganisms are circulating in rhesus macaque, and direct and indirect contact with humans and livestock might expand the resistant organisms.</p></sec></abstract>
<kwd-group>
<kwd>rhesus macaque</kwd>
<kwd>antimicrobial resistance</kwd>
<kwd><italic>Salmonella</italic></kwd>
<kwd><italic>Staphylococcus</italic></kwd>
<kwd>Bangladesh</kwd>
</kwd-group>
<contract-sponsor id="cn001">United States Agency for International Development<named-content content-type="fundref-id">10.13039/100000200</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="76"/>
<page-count count="13"/>
<word-count count="8274"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Antimicrobial-resistant bacteria represent a critical health threat to people, domestic animals, and wildlife. Antimicrobial resistance (AMR) is recognized as a significant emerging public health concern by the World Health Organization (WHO) and represents a significant challenge to human and veterinary medicine due to the therapeutic failure of life-saving treatments (<xref ref-type="bibr" rid="B1">1</xref>). Natural ecosystems are believed to be contaminated with antimicrobial-resistant bacteria due to excessive antimicrobial use in clinical and agriculture settings (<xref ref-type="bibr" rid="B2">2</xref>). Antibiotics are used for therapeutic, prophylactic, and growth promotion purposes in livestock and poultry (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). Further, the application of manure as fertilizer for crop growth has been associated with AMR, regardless of whether the animals that produced the manure were treated with antibiotics, because the manure enriches the environment, allowing the growth of resident soil bacteria that harbor AMR elements (<xref ref-type="bibr" rid="B6">6</xref>). In Bangladesh, it is common for people to use antimicrobials without consulting with a registered doctor or veterinarian to treat themselves or other people and animals. Indiscriminate use of antimicrobials in multiple health sectors accelerates the development of antimicrobial resistance in bacteria. A One Health approach is important to identify the human, animal, and environmental factors associated with increasing levels of AMR (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Globalization has driven AMR to become a global problem. It is known that the movement of people and animals can permit the rapid spread of resistant pathogens (<xref ref-type="bibr" rid="B8">8</xref>). Asia is considered an epicenter of AMR, especially in densely populated South Asian countries such as Bangladesh and India (<xref ref-type="bibr" rid="B9">9</xref>). Multidrug-resistant genes are prevalent in many commensal and environmental bacteria, including <italic>Escherichia coli, Klebsiella pneumonia, Salmonella, Enterococcus</italic>, and <italic>Staphylococcus aureus</italic> (<xref ref-type="bibr" rid="B10">10</xref>). Multiple studies have revealed that bacterial resistance genes, which are frequently detected in human or animal microbiota, are spreading to environments and wild animals where antimicrobials have not previously been used (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Antimicrobial-resistant microorganisms in wildlife are frequently detected (<xref ref-type="bibr" rid="B12">12</xref>). Bacteria resistant to antimicrobials have been detected in various wild animal species (<xref ref-type="bibr" rid="B13">13</xref>) and wild birds (<xref ref-type="bibr" rid="B14">14</xref>). Wildlife has been implicated as a potential reservoir of resistant bacteria and resistance genes (<xref ref-type="bibr" rid="B15">15</xref>). Wild animals are rarely treated with antimicrobials. Thus, the source of antimicrobial-resistant bacteria in wildlife is not clear. Some proposed transmission routes are the consumption of human feces, household and kitchen waste, and sewage water (<xref ref-type="bibr" rid="B16">16</xref>). Several studies in Bangladesh have already proved the presence of resistant microorganisms in household water supply (<xref ref-type="bibr" rid="B17">17</xref>) and environmental effluents (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Potential exposure to resistant bacteria likely depends on host species, as some species have more frequent contact with humans, human landscapes, or domestic animals than others (<xref ref-type="bibr" rid="B19">19</xref>). Antimicrobial-resistant bacteria have been found in 54% of wild rodents living in proximity to livestock harbored bacteria resistant to at least one antimicrobial agent (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Rhesus macaques (<italic>Macaca mulatta</italic>) are synanthropic, thriving in human-altered environments, allowing them to become one of the most widely distributed and successful primates (<xref ref-type="bibr" rid="B21">21</xref>). Macaques are distributed throughout Bangladesh, living in urban, rural, and forested/protected areas. Feeroz et al. (<xref ref-type="bibr" rid="B22">22</xref>) described non-human primate habitats in the northeastern and southeastern parts of Bangladesh. One study estimated that there were 5,313 macaques in Bangladesh, with group sizes varying from 10 to 78 animals (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>It has been estimated that up to 61% of monkeys and great apes in sub-Saharan Africa (Gabon and Ivory Coast) are infected with <italic>Staphylococcus aureus</italic> (<xref ref-type="bibr" rid="B24">24</xref>). Among captive rhesus macaques, infections with <italic>Staphylococcus</italic> spp. in the wild non-human primate are also common, with a prevalence of 39% rhesus macaques in the Netherlands (<xref ref-type="bibr" rid="B25">25</xref>) and 23.6% monkeys in Wisconsin, USA (<xref ref-type="bibr" rid="B26">26</xref>). Other potential human bacterial pathogens have been identified in multiple primate species. This includes human-habituated mountain gorillas (<italic>Gorilla gorilla beringei</italic>) in Uganda, with prevalences of 19, 13, and 6% for <italic>Campylobacter</italic> spp., <italic>Salmonella</italic> spp., and <italic>Shigella</italic> spp., respectively (<xref ref-type="bibr" rid="B27">27</xref>). Evidence of <italic>Escherichia coli</italic> sharing between people, domestic animals, and great apes has been reported in densely human-populated areas of western Uganda. Within Uganda, habituated groups of wild apes are visited daily by researchers and tourists [e.g., chimpanzees (<xref ref-type="bibr" rid="B28">28</xref>) and mountain gorillas at Bwindi Impenetrable National Park (<xref ref-type="bibr" rid="B29">29</xref>)].</p>
<p>Several studies have identified antimicrobial-resistant bacteria in non-human primates. A study indicated that 75% of <italic>Staphylococcus aureus</italic> isolates from captive rhesus macaques in the United States were resistant to methicillin/oxacillin (<xref ref-type="bibr" rid="B30">30</xref>). <italic>Campylobacter</italic> spp. were isolated from 15, 36, and 67% of cynomolgus macaques (<italic>Macaca fascicularis</italic>) in China, Cambodia, and Indonesia, respectively, and resistance to tetracycline, ciprofloxacin, and erythromycin was prevalent in China (80%) and Cambodia (75%), as well as in Indonesia (100%) (<xref ref-type="bibr" rid="B31">31</xref>). Rolland et al. (<xref ref-type="bibr" rid="B16">16</xref>) found that non-human primates (baboons) feeding on human garbage and in contact with human feces had significantly greater levels of antibiotic-resistant gut bacteria than their counterparts.</p>
<p>In wildlife, direct and indirect interspecies contacts are likely critical routes of transmission of antimicrobial-resistant bacteria (<xref ref-type="bibr" rid="B32">32</xref>). These routes include consuming food and water contaminated by antimicrobial residues or resistant bacteria within or through indirect contact with resistant bacteria in a contaminated environment (<xref ref-type="bibr" rid="B15">15</xref>). Wildlife at zoos and safari parks may potentially be administered antimicrobials directly. Areas with high rates of interactions between people or livestock and non-human primates are recognized as potential drivers of inter-species pathogens transmission (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>AMR dynamics has a potential role in human, animal, and environmental health by increasing zoonotic diseases and microorganisms, but knowledge of AMR research in wildlife is limited. It has been hypothesized that the occurrence of antibiotic-resistant strains in untreated, free-ranging wild animals is a consequence of bacterial transmission with people or domestic animals which have undergone antibiotic treatment. Here we evaluated the prevalence of two bacteria (<italic>Salmonella</italic> spp. and <italic>Staphylococcus</italic> spp.) and their antimicrobial resistance levels in rhesus macaques from different districts and habitats.</p>
</sec>
<sec id="s2">
<title>2. Materials and methods</title>
<sec>
<title>2.1. Ethical approval</title>
<p>Ethical approval was approved by Chattogram Veterinary and Animal Sciences University-Animal Experimentation Ethics Committee (AEEC), Chattogram, Bangladesh [permit number: CVASU/Dir (R&#x00026;E) AEEC/2015/751] to conduct the study. With the help of a defined protocol, we assured the animal ethics and animal safety as well as the safety of working personnel in both field and laboratory throughout the whole study period.</p>
</sec>
<sec>
<title>2.2. Study areas, study design, and period</title>
<p>A cross-sectional study was conducted from January to June 2017. The macaque population in Bangladesh is distributed among urban, peri-urban, and rural habitats where they live close to human settlements. We selected seven sites from four districts: Dhaka (Gendaria, Rothkhola, and Dhamrai), Madaripur (Charmuguria), Gazipur (Rajendrapur and Bormi), and Narshingdi (Monohardi) (<xref ref-type="fig" rid="F1">Figure 1</xref>). The distribution of rhesus macaque populations in Dhaka, Madaripur, Narshingdi, and Gazipur districts, where temples and shrines had been built from the earliest stages of civilization (<xref ref-type="bibr" rid="B34">34</xref>). Nevertheless, the macaque population is prevalent in these regions, thus we chose these sampling locations for our study. The sampling map was plotted using the spatial analyst tool of ArcGIS (ArcMap, version 10.2, Environmental Systems Research Institute, Redlands, California, CA, USA).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Map showing the sampling locations.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1103922-g0001.tif"/>
</fig>
</sec>
<sec>
<title>2.3. Sample collection</title>
<p>The required sample size was calculated to be 385 using the formula given by Daniel and Cross (<xref ref-type="bibr" rid="B35">35</xref>). We collected a total of 399 samples. Samples were collected proportionally (&#x0003E;60%) from each site&#x00027;s macaque population (<xref ref-type="table" rid="T1">Table 1</xref>). Macaques were baited by provisioning bread and bananas before sample collection. We observed defecation and immediately collected fecal samples (&#x0007E;1 gm) using convenience sampling. All samples were collected within 30 min to avoid re-sampling the same individual. Four trained personnel collected the samples and identified the individual animal&#x00027;s sex and age. Each monkey was seen defecating during the sampling period by two trained persons. To prevent duplication sampled monkey was continuously observed until the sampling was completed (<xref ref-type="bibr" rid="B21">21</xref>). Confirmation of the age was also done by the fecal lobe diameter (<xref ref-type="bibr" rid="B27">27</xref>). Fecal samples were collected by sterile swab and placed in a falcon tube (15 ml) containing buffered peptone water (Oxoid, Basingstoke, Hampshire, UK) for <italic>Salmonella</italic> spp. (<xref ref-type="bibr" rid="B36">36</xref>) and Mueller-Hinton broth for <italic>Staphylococcus</italic> spp. (<xref ref-type="bibr" rid="B37">37</xref>). Falcon tubes were placed in the ice box, and within 24 hours, they were sent to Bangladesh Livestock Research Institute (BLRI), Savar, for laboratory analysis.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Frequency distribution of samples from different location.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>District</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Site</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Group</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Population size</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Sample number</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Proportion</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Dhaka</td>
<td valign="top" align="center">Gandaria</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">61.40</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">63.64</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Rothkhola</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">62.50</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">64.81</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Dhamrai</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">62.26</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">64.71</td>
</tr> <tr>
<td valign="top" align="left">Madaripur</td>
<td valign="top" align="center">Charmuguria</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">60.98</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">62.50</td>
</tr> <tr>
<td valign="top" align="left">Gazipur</td>
<td valign="top" align="center">Rajendrapur</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">61.11</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">64.71</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Bormi</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">65.00</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">65.79</td>
</tr> <tr>
<td valign="top" align="left">Narshingdi</td>
<td valign="top" align="center">Monohardi</td>
<td valign="top" align="center">i</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">62.16</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">ii</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">62.50</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.4. Data collection</title>
<p>We made field observations to collect data on population structure age (adult, sub-adult, and infant), and sex and ecological data: types of habitats (rural, urban and peri-urban), season [winter (January to March), and summer (April to June)] and GPS coordinates. We also observed the interactions rhesus macaques had with people, domestic animals, and sampling sites for 2 h in the morning and 2 h in the evening for 2 days (a total of 8 h). We identified the frequency and type of both direct contact and indirect contact. Direct contact was defined as any type of inter-species touching/contact, biting, and scratching. Whereas, indirect contact was recorded if the macaques remained within 20 meters of another species for at least 15 min.</p>
</sec>
<sec>
<title>2.5. Laboratory testing</title>
<sec>
<title>2.5.1. Isolation and identification of bacteria</title>
<p><italic>Salmonella</italic> spp. was cultured in xylose lysine deoxycholate (XLD) agar (producing a black centered colony) and on brilliant green agar (BGA) media (producing red-colored colony) (<xref ref-type="bibr" rid="B38">38</xref>), <italic>Staphylococcus</italic> spp was cultured on mannitol salt agar producing yellow color and cocci-shaped gram-positive clusters (<xref ref-type="bibr" rid="B37">37</xref>). All the positive samples were confirmed using biochemical assays: triple sugar iron (TSI) agar slant (<xref ref-type="bibr" rid="B39">39</xref>), and carbohydrate fermentation test (<xref ref-type="bibr" rid="B40">40</xref>) were used for <italic>Salmonella</italic> spp., and the coagulase (<xref ref-type="bibr" rid="B41">41</xref>) and catalase test (<xref ref-type="bibr" rid="B42">42</xref>) were used for <italic>Staphylococcus</italic> spp. Finally, PCR was conducted for final confirmation of a bacterial genus <italic>Salmonella</italic> with Salmonella genus-specific primers ST-11 (5&#x02032; -AGCCAACCATTGCTAAATTGGCGCA-3&#x02032;) and ST-15(5&#x02032;-TGGTAGAAATTCCCAGCGGGTACTG-3&#x02032; described by Gouws et al. (<xref ref-type="bibr" rid="B43">43</xref>) and <italic>Staphylococcus</italic> with Staphylococcus genus-specific primers TStaG422 (5&#x02032;-GGC CGT GTT GAA CGT GGT CAA ATC A-3&#x02032;) and TStag765 (5&#x02032;-TIA CCA TTT CAG TAC CTT CTG GTA A-3&#x02032;) described by Martineau et al. (<xref ref-type="bibr" rid="B44">44</xref>).</p>
</sec>
<sec>
<title>2.5.2. Antimicrobial susceptibility test</title>
<p>A panel of 12 antibiotics was used for each organism: chloramphenicol (CPL) (30 &#x003BC;g), gentamicin (GEN) (10 &#x003BC;g), sulfamethoxazole-trimethoprim (SXT) (25 &#x003BC;g), and tetracycline (TET) (30 &#x003BC;g) were used for both genera. In addition, amoxicillin-clavulanic acid (AMC) (30 &#x003BC;g), azithromycin (AZM) (15 &#x003BC;g), cefixime (CFM) (5 &#x003BC;g), cefotaxime (CTX) (30 &#x003BC;g), ceftriaxone (CTR) (30 &#x003BC;g), ciprofloxacin (CIP) (5 &#x003BC;g), imipinem (IPM) (10 &#x003BC;g), nalidixic acid (NA) (30 &#x003BC;g) were used for <italic>Salmonella</italic> spp. For <italic>Staphylococcus</italic>, we used: ampicillin (AMP) (10 &#x003BC;g), clindamycin (CDA) (2 &#x003BC;g), linezolid (LZD) (30 &#x003BC;g), methicillin (MET) (5 &#x003BC;g), oxacillin (OXA) (1 &#x003BC;g), rifampicin (RMP) (5 &#x003BC;g), streptomycin (STP) (10 &#x003BC;g), tigecyclin (TGC) (15 &#x003BC;g). We used the Kirby-Bauer disc diffusion method for antimicrobial susceptibility testing (<xref ref-type="bibr" rid="B45">45</xref>). Zone diameters were calculated and interpreted as resistant, intermediate, and sensitive according to the size of inhibition following the Clinical and Laboratory Standards Institute (CLSI) guideline, 25th edition (<xref ref-type="bibr" rid="B46">46</xref>).</p>
</sec>
</sec>
<sec>
<title>2.6. Statistical evaluation</title>
<p>Field and laboratory data were entered into MS Excel (Excel 2013, Microsoft Corporation, USA). After checking data integrity, it was exported to STATA/IC13 (StataCorp 4905, Lakeway Drive, College Station, Texas 77845, USA) for epidemiological analysis. The prevalence of the bacteria and antimicrobial-resistant bacteria were expressed as a percentage with a 95% confidence interval (CI). If any microorganism was found to be resistant to a single antimicrobial, it was considered resistant. Antimicrobial susceptibility was expressed as a percentage according to resistance, intermediate, and sensitivity. Variables were assessed for collinearity. A univariate Chi-square test was done to identify potential risk factors for the presence of AMR. The significant risk factors (<italic>P</italic> &#x0003C; 0.2) were included in multiple logistic regression models, but the district was omitted for <italic>Salmonella</italic> spp. due to collinearity. Model adequacy was verified by the lowest AIC after dropping variables from the model. Confounders were confirmed by observing the variation in the coefficient (&#x003B2; &#x0003E; 10%). The final model was assessed using a receiver operating characteristic curve (ROC) and goodness of fit tests (<xref ref-type="bibr" rid="B47">47</xref>). The results were expressed as odds ratios (ORs) and 95% CI.</p>
</sec>
</sec>
<sec id="s3">
<title>3. Results</title>
<p>We sampled 399 macaques. The overall prevalence of <italic>Salmonella</italic> spp. and <italic>Staphylococcus</italic> spp. in macaques were 5% (<italic>n</italic> = 18; 95%CI: 2.7&#x02013;7.1%) and 16% (<italic>n</italic> = 64; 95%CI: 12.6&#x02013;20%), respectively. All of the <italic>Salmonella</italic> spp. and 95% of the <italic>Staphylococcus</italic> spp. (<italic>n</italic> = 61; 95%CI: 86.9&#x02013;99%) isolated in the study were resistant to at least one antimicrobial.</p>
<sec>
<title>3.1. Descriptive statistics for macaques carrying antimicrobial-resistant <italic>Salmonella</italic> spp.</title>
<p>Among all macaques, the prevalence of resistant <italic>Salmonella</italic> spp. was highest in macaques in the Dhaka District (<italic>n</italic> = 15; 7.3%; 95%CI: 4.1&#x02013;11.7), whereas the lowest prevalence (<italic>n</italic> = 1; 1.1%; 95%CI: 0.03&#x02013;5.7) was found in Gazipur (see <xref ref-type="table" rid="T2">Table 2</xref> for all descriptive statistics). Habitat, season, and age were included in the multivariable regression, and none of the variables were significant in the multiple logistic regression (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Frequency distribution of resistant <italic>Salmonella</italic> spp. in rhesus macaque of Bangladesh.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="center" style="background-color:#919497"><bold>Variables</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Categories</bold></th>
<th valign="top" align="center" colspan="3" style="background-color:#919497"><bold>Resistant</bold> <italic><bold>Salmonella</bold></italic> <bold>spp</bold>.</th>
<th valign="top" align="center" colspan="3" style="background-color:#919497"><bold>Multiple logistic regression</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" style="background-color:#919497"/>
<td valign="top" align="center" style="background-color:#919497"/>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>n</bold></italic> <bold>(%)</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></td>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>P</bold></italic> <bold>(</bold>&#x003C7;<sup>2</sup><bold>-test)</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>OR</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></td>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>P</bold></italic></td>
</tr> <tr>
<td valign="top" align="left">District<sup>&#x02020;</sup></td>
<td valign="top" align="center">Dhaka (206)</td>
<td valign="top" align="center">15 (7.3)</td>
<td valign="top" align="center">4.1&#x02013;11.7</td>
<td valign="top" align="center">0.05</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Gazipur (95)</td>
<td valign="top" align="center">1 (1.1)</td>
<td valign="top" align="center">0.03&#x02013;5.7</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Madaripur (45)</td>
<td valign="top" align="center">1 (2.2)</td>
<td valign="top" align="center">0.06&#x02013;11.8</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Narshingdi (53)</td>
<td valign="top" align="center">1 (1.9)</td>
<td valign="top" align="center">0.05&#x02013;10.1</td>
<td/>
<td/>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Habitat</td>
<td valign="top" align="center">Rural (149)</td>
<td valign="top" align="center">2 (1.3)</td>
<td valign="top" align="center">0.16&#x02013;4.7</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Peri-urban (110)</td>
<td valign="top" align="center">5 (4.6)</td>
<td valign="top" align="center">1.5&#x02013;10.3</td>
<td/>
<td valign="top" align="center">6.6</td>
<td valign="top" align="center">0.9&#x02013;45.8</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Urban (140)</td>
<td valign="top" align="center">11 (7.9)</td>
<td valign="top" align="center">3.9&#x02013;13.6</td>
<td/>
<td valign="top" align="center">4.2</td>
<td valign="top" align="center">0.9&#x02013;20.8</td>
<td valign="top" align="center">0.07</td>
</tr> <tr>
<td valign="top" align="left">Seasons</td>
<td valign="top" align="center">Winter (242)</td>
<td valign="top" align="center">7 (2.9)</td>
<td valign="top" align="center">1.2&#x02013;5.9</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Summer (157)</td>
<td valign="top" align="center">11 (7.1)</td>
<td valign="top" align="center">3.6&#x02013;12.2</td>
<td/>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">0.6&#x02013;15.2</td>
<td valign="top" align="center">0.16</td>
</tr> <tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">Juvenile (105)</td>
<td valign="top" align="center">2 (1.9)</td>
<td valign="top" align="center">0.2&#x02013;6.7</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Sub-adult (113)</td>
<td valign="top" align="center">3 (2.7)</td>
<td valign="top" align="center">0.6&#x02013;7.6</td>
<td/>
<td valign="top" align="center">1.3</td>
<td valign="top" align="center">0.2&#x02013;7.7</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Adult (181)</td>
<td valign="top" align="center">13 (7.2)</td>
<td valign="top" align="center">3.9&#x02013;11.9</td>
<td/>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">0.8&#x02013;17.4</td>
<td valign="top" align="center">0.08</td>
</tr> <tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">Male (174)</td>
<td valign="top" align="center">7 (4.0)</td>
<td valign="top" align="center">1.6&#x02013;8.1</td>
<td valign="top" align="center">0.68</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Female (225)</td>
<td valign="top" align="center">11 (4.9)</td>
<td valign="top" align="center">2.5&#x02013;8.6</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x02020;</sup>Excluded from analysis due to collinearity with habitat.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.2. Descriptive statistics and risk factors for macaques carrying antimicrobial-resistant <italic>Staphylococcus</italic> spp.</title>
<p>In univariate analysis, only sex did not meet the selection criteria to be included in the multivariable analysis. In the multivariable analysis, we found that macaques sampled in Dhaka (OR = 11.1, CI: 1.2&#x02013;106.9, <italic>P</italic> = 0.03), Gazipur (OR = 9.3, CI: 1.1&#x02013;73.1, <italic>P</italic> = 0.03) and Madaripur (OR = 8.5, CI: 1.1&#x02013;69.2, <italic>P</italic> = 0.04) had significantly higher odds of carrying antimicrobial resistant <italic>Staphylococcus</italic> spp, compared to animals living in Narshingdi (<xref ref-type="table" rid="T3">Table 3</xref>). Additionally, macaques sampled in a peri-urban habitat (OR = 5.6, CI: 1.2&#x02013;26, <italic>P</italic> = 0.02) and those that were sub-adults (OR = 2.1, CI: 1.1&#x02013;4.0, <italic>P</italic> = 0.03) had higher odds of infection (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Frequency distribution of resistant <italic>Staphylococcus</italic> spp. in rhesus macaque of Bangladesh.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>Variables</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Categories</bold></th>
<th valign="top" align="center" colspan="3" style="background-color:#919497"><bold>Resistant</bold> <italic><bold>Staphylococcus</bold></italic> <bold>spp</bold>.</th>
<th valign="top" align="center" colspan="3" style="background-color:#919497"><bold>Multiple logistic regression</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" style="background-color:#919497"/>
<td valign="top" align="center" style="background-color:#919497"/>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>n</bold></italic> <bold>(%)</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></td>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>P</bold></italic> <bold>(</bold>&#x003C7;<sup>2</sup><bold>-test)</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>OR</bold></td>
<td valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></td>
<td valign="top" align="center" style="background-color:#919497"><italic><bold>P</bold></italic></td>
</tr> <tr>
<td valign="top" align="left">District</td>
<td valign="top" align="center">Dhaka (206)</td>
<td valign="top" align="center">31 (15.1%)</td>
<td valign="top" align="center">10.5&#x02013;20.7</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">11.1</td>
<td valign="top" align="center">1.2&#x02013;106.9</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Gazipur (95)</td>
<td valign="top" align="center">19 (20%)</td>
<td valign="top" align="center">12.5&#x02013;29.4</td>
<td/>
<td valign="top" align="center">9.3</td>
<td valign="top" align="center">1.1&#x02013;73.1</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Madaripur (45)</td>
<td valign="top" align="center">8 (17.8%)</td>
<td valign="top" align="center">08&#x02013;32.1</td>
<td/>
<td valign="top" align="center">8.5</td>
<td valign="top" align="center">1.1&#x02013;69.2</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Narshingdi (53)</td>
<td valign="top" align="center">3 (5.7%)</td>
<td valign="top" align="center">01.2&#x02013;15.7</td>
<td/>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Habitat</td>
<td valign="top" align="center">Rural (149)</td>
<td valign="top" align="center">21 (14.1%)</td>
<td valign="top" align="center">08.9&#x02013;20.7</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">5.0</td>
<td valign="top" align="center">0.8&#x02013;31.6</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Peri-urban (110)</td>
<td valign="top" align="center">26 (23.6%)</td>
<td valign="top" align="center">16.1&#x02013;32.7</td>
<td/>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">1.2&#x02013;26</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Urban (140)</td>
<td valign="top" align="center">14 (10%)</td>
<td valign="top" align="center">05.6&#x02013;16.2</td>
<td/>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Seasons</td>
<td valign="top" align="center">Winter (242)</td>
<td valign="top" align="center">46 (19.1%)</td>
<td valign="top" align="center">14.3&#x02013;24.5</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0.09&#x02013;2.2</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Summer (157)</td>
<td valign="top" align="center">15 (9.6%)</td>
<td valign="top" align="center">05.4&#x02013;15.3</td>
<td/>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">Juvenile (105)</td>
<td valign="top" align="center">16 (15.2%)</td>
<td valign="top" align="center">08.9&#x02013;23.6</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">0.6&#x02013;2.5</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Sub-adult (113)</td>
<td valign="top" align="center">24 (21.2%)</td>
<td valign="top" align="center">14.1&#x02013;29.9</td>
<td/>
<td valign="top" align="center">2.1</td>
<td valign="top" align="center">1.1&#x02013;4.0</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Adult (181)</td>
<td valign="top" align="center">21 (11.6%)</td>
<td valign="top" align="center">07.3&#x02013;17.2</td>
<td/>
<td valign="top" align="center">Ref</td>
<td/>
<td/>
</tr> <tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">Male (174)</td>
<td valign="top" align="center">28 (16.1%)</td>
<td valign="top" align="center">10.9&#x02013;22.4</td>
<td valign="top" align="center">0.69</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">Female (225)</td>
<td valign="top" align="center">33 (14.7%)</td>
<td valign="top" align="center">10.3&#x02013;19.9</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>3.3. AMR patterns and multidrug resistance of <italic>Salmonella</italic> spp. in rhesus macaque</title>
<p><italic>Salmonella</italic> spp. was most frequently resistant to tetracycline (TET) (89%), followed by azithromycin (AZM) (83%) and cefixime (17%). However, <italic>Salmonella spp</italic>. demonstrated no resistance to ciprofloxacin, gentamicin, or imipenem (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>AMR pattern of <italic>Salmonella</italic> spp.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1103922-g0002.tif"/>
</fig>
<p>A total of seven combinations of drugs were found to be resistant to <italic>Salmonella</italic> spp. Two combinations of multiple drugs were found most frequently for <italic>Salmonella</italic> spp.; AZM-TET (27.8%; 95%CI: 9.7&#x02013;53.5) and AZM-CPL-NA-SXT-TET (22.2%; 95%CI: 6.4&#x02013;47.6). All other combinations of multidrug resistance were detected in a single sample (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Multidrug resistance patterns of <italic>Salmonella</italic> spp.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>Number of drugs</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Resistance patterns</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Frequency</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Percentage (%)</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Multidrug resistance</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">One drug</td>
<td valign="top" align="center">TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Two drugs</td>
<td valign="top" align="center">AZM-TET</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">27.8</td>
<td valign="top" align="center">9.7&#x02013;53.5</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Three drugs</td>
<td valign="top" align="center">AZM-CTX-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">CFM-CTX-CTR</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Four drugs</td>
<td valign="top" align="center">CFM-CTX-CTR-SXT</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Five drugs</td>
<td valign="top" align="center">AMC-AZM-CTX-CTR-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMC-AZM-NA-SXT-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AZM-CPL-NA-SXT-TET</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">22.2</td>
<td valign="top" align="center">6.4&#x02013;47.6</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Six drugs</td>
<td valign="top" align="center">AZM-CTR-CPL-NA-SXT-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Seven drugs</td>
<td valign="top" align="center">AMC-AZM-CFM-CTX-NA-SXT-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMC-AZM-CTX-CPL-NA-SXT-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.1&#x02013;27.3</td>
<td valign="top" align="center">Yes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AMC, amoxicillin-clavulanic acid; AZM, azithromycin; CFM, cefixime; CTX, cefotaxime; CTR, ceftriaxone; CPL, chloramphenicol; NA, nalidixic acid; SXT, sulfamethoxazole-trimethoprim; TET, tetracycline.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.4. AMR patterns and multidrug resistance of <italic>Staphylococcus</italic> spp. in rhesus macaque</title>
<p>All <italic>Staphylococcus</italic> samples were resistant to at least one drug. The <italic>Staphylococcus</italic> samples were most frequently resistant to ampicillin (93%), followed by methicillin (31%), clindamycin (26%), rifampicin (18%), oxacillin (16%), streptomycin (15%), tetracycline (13%) and sulfamethoxazole-trimethoprim (8%). No resistance was identified against chloramphenicol, linezolid, or tetracycline (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>AMR patterns of <italic>Staphylococcus</italic> spp.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fvets-10-1103922-g0003.tif"/>
</fig>
<p>Nearly half of the <italic>Staphylococcus</italic> cultures were resistant to only one drug (AMP [42.6%] and MET [3.3%]; <xref ref-type="table" rid="T5">Table 5</xref>). Four samples had resistance patterns of each AMP-CDA (6.5%) and AMP-CDA-MET (6.5%) combination (<xref ref-type="table" rid="T5">Table 5</xref>). Multidrug combinations of one, two, three, four, five, six, and seven drugs were identified (<xref ref-type="table" rid="T5">Table 5</xref>); however, most combinations were only found in a single sample.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Multidrug resistance pattern of <italic>Staphylococcus</italic> spp.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>Number of drugs</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Resistance patterns</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Frequency</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Percentage</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>95% CI</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Multidrug resistance</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">One drug</td>
<td valign="top" align="center">AMP</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">42.6</td>
<td valign="top" align="center">30.0&#x02013;55.9</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">MET</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">0.4&#x02013;11.3</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Two drugs</td>
<td valign="top" align="center">AMP-CDA</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">1.8&#x02013;15.9</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-RMP</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">0.4&#x02013;11.3</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-STR</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-SXT</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">0.4&#x02013;11.3</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">CDA-MET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">RMP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td/>
</tr> <tr>
<td valign="top" align="left">Three drugs</td>
<td valign="top" align="center">AMP-CDA-MET</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">1.8&#x02013;15.9</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-CDA-RMP</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-MET-OXA</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3.3</td>
<td valign="top" align="center">0.4&#x02013;11.3</td>
<td/>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-RMP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-RMP-SXT</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-TET-TGC</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-STP-SXT</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Four drugs</td>
<td valign="top" align="center">AMP-CDA-MET-OXA</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-MET-OXA-RMP</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-MET-OXA-STP</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-MET-RMP-SXT</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Five drugs</td>
<td valign="top" align="center">AMP-CDA-MET-OXA-TGC</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-CDA-MET-RMP-STP</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-MET-OXA-RMP-STP</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Six drugs</td>
<td valign="top" align="center">AMP-CDA-MET-OXA-STP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Seven drugs</td>
<td valign="top" align="center">AMP-CDA-GEN-MET-OXA-STP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">AMP-CDA-MET-OXA-RMP-STP-TET</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">0.04&#x02013;8.8</td>
<td valign="top" align="center">Yes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AMP, ampicillin; CDA, clindamycin; GEN, gentamicin; MET, methicillin; OXA, oxacillin; RMP, rifampicin; STP, streptomycin; SXT, sulfamethoxazole-trimethoprim; TET, tetracycline; TGC, Tigecycline.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.5. Inter-species interaction in different locations</title>
<p>We observed direct and indirect interactions between macaques and people, cattle, goats, and dogs (<xref ref-type="table" rid="T6">Table 6</xref>). The most frequently observed inter-species interactions were between people and macaques (<xref ref-type="table" rid="T6">Table 6</xref>). We observed the highest number of human-macaque contacts in Gendaria, Dhaka, with 40 observations of direct contact and 204 observations of indirect contact. In contrast, Monohardi and Narshingdi had the lowest number of observed direct (12) and indirect (76) contact occurrences. No direct contact was observed between macaques, goats, and cattle in Gendaria and Rothkhola in Dhaka. No direct or indirect contact was observed between macaques and any domestic animals in Rajendropur, Gazipur (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Direct and indirect interactions between macaques and other species (8 h).</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>Locations</bold></th>
<th valign="top" align="center" colspan="4" style="background-color:#919497"><bold>Direct contact</bold></th>
<th valign="top" align="center" colspan="4" style="background-color:#919497"><bold>Indirect contact</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td valign="top" align="center"><bold>Human-Macaque</bold></td>
<td valign="top" align="center"><bold>Goat-Macaque</bold></td>
<td valign="top" align="center"><bold>Cattle-Macaque</bold></td>
<td valign="top" align="center"><bold>Dog-Macaque</bold></td>
<td valign="top" align="center"><bold>Human-Macaque</bold></td>
<td valign="top" align="center"><bold>Goat-Macaque</bold></td>
<td valign="top" align="center"><bold>Cattle-Macaque</bold></td>
<td valign="top" align="center"><bold>Dog-Macaque</bold></td>
</tr> <tr>
<td valign="top" align="left">Gendaria</td>
<td valign="top" align="center">40 (24.7%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7 (10%)</td>
<td valign="top" align="center">204 (22.1%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">27 (15%)</td>
</tr> <tr>
<td valign="top" align="left">Rothkhola</td>
<td valign="top" align="center">21 (13%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">157 (17%)</td>
<td valign="top" align="center">9 (5%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">14 (7.8%)</td>
</tr> <tr>
<td valign="top" align="left">Dhamrai</td>
<td valign="top" align="center">27 (16.7%)</td>
<td valign="top" align="center">9 (16.3%)</td>
<td valign="top" align="center">3 (13%)</td>
<td valign="top" align="center">22 (31.4%)</td>
<td valign="top" align="center">109 (11.8%)</td>
<td valign="top" align="center">35 (19.7%)</td>
<td valign="top" align="center">13 (11.7%)</td>
<td valign="top" align="center">43 (23.9%)</td>
</tr> <tr>
<td valign="top" align="left">Bormi</td>
<td valign="top" align="center">18 (11.1%)</td>
<td valign="top" align="center">14 (25.5%)</td>
<td valign="top" align="center">6 (26%)</td>
<td valign="top" align="center">22 (31.4%)</td>
<td valign="top" align="center">108 (11.7%)</td>
<td valign="top" align="center">50 (28.1%)</td>
<td valign="top" align="center">38 (34.2%)</td>
<td valign="top" align="center">50 (27.8%)</td>
</tr> <tr>
<td valign="top" align="left">Rajendropur</td>
<td valign="top" align="center">18 (11.1%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">104 (11.3%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr> <tr>
<td valign="top" align="left">Charmuguria</td>
<td valign="top" align="center">26 (16%)</td>
<td valign="top" align="center">26 (47.2%)</td>
<td valign="top" align="center">10 (43.7%)</td>
<td valign="top" align="center">10 (14.3%)</td>
<td valign="top" align="center">164 (17.8%)</td>
<td valign="top" align="center">50 (28.1%)</td>
<td valign="top" align="center">46 (41.5%)</td>
<td valign="top" align="center">34 (18.9%)</td>
</tr> <tr>
<td valign="top" align="left">Monohardi</td>
<td valign="top" align="center">12 (7.4%)</td>
<td valign="top" align="center">6 (10.9%)</td>
<td valign="top" align="center">4 (17.3%)</td>
<td valign="top" align="center">6 (8.6%)</td>
<td valign="top" align="center">76 (8.3%)</td>
<td valign="top" align="center">34 (19.1%)</td>
<td valign="top" align="center">14 (12.6%)</td>
<td valign="top" align="center">12 (6.6%)</td>
</tr> <tr>
<td valign="top" align="left"><bold>Total</bold></td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">922</td>
<td valign="top" align="center">178</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">180</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The contact rate between macaques and people was high in urban habitats for both direct contacts per hour (3) and indirect contacts per hour (22) (<xref ref-type="table" rid="T7">Table 7</xref>).</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Contact rate of inter-species interaction.</p></caption>
<table frame="hsides" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497"><bold>Habitat</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Inter-species interaction</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Direct contacts /hour</bold></th>
<th valign="top" align="center" style="background-color:#919497"><bold>Indirect contacts /hour</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Urban</td>
<td valign="top" align="center">Human-Macaque</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">22</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Goat-Macaque</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Cattle-Macaque</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Dog-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
</tr> <tr>
<td valign="top" align="left">Peri-urban</td>
<td valign="top" align="center">Human-Macaque</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">13</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Goat-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Cattle-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">2</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Dog-Macaque</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
</tr> <tr>
<td valign="top" align="left">Rural</td>
<td valign="top" align="center">Human-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">15</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Goat-Macaque</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Cattle-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
</tr>
 <tr>
<td/>
<td valign="top" align="center">Dog-Macaque</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>4. Discussion</title>
<p>We found evidence of antimicrobial-resistant bacteria in free-ranging macaque populations. This suggests that macaques are infected through contact with infected people or animals or environmental contamination. We observed direct and indirect contact between macaques and people and domestic animals at all sites where samples were collected, providing a potential transmission pathway for antimicrobial resistant bacteria, especially considering that free-ranging macaques in Bangladesh are not treated with antimicrobials.</p>
<p>We found that the prevalence of <italic>Salmonella</italic> spp. was low (5%). Several other studies have found similarly low rates of salmonella infection in other species of non-human primates, including a prevalence of 3% in <italic>Salmonella</italic> spp. in captive primate populations at the national center for primate biology (<xref ref-type="bibr" rid="B48">48</xref>). A longitudinal study in Thailand also found a similar prevalence of (7%) <italic>Salmonella</italic> serotypes in captive wildlife, including non-human primates (<xref ref-type="bibr" rid="B49">49</xref>). Another study from Bwindi and Mgahinga in Uganda reported that 13% of free-range mountain gorillas (<italic>Gorilla gorilla beringei</italic>) had <italic>Salmonella</italic> spp. (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>We found that the macaques we sampled had <italic>Salmonella</italic> spp. most frequently resistant to tetracycline (89%). This is in line with a previous study where 95% of <italic>Salmonella</italic> sp. collected samples from south America, Africa, and Southeast Asia to the National Center for Primate Biology were resistant to tetracycline (<xref ref-type="bibr" rid="B48">48</xref>). Other studies found lower levels of tetracycline resistance in <italic>Salmonella</italic> spp. isolated from captive wildlife (29%) in Trinidad, which contains mammals (21%), birds (25%), and reptiles (40%) (<xref ref-type="bibr" rid="B49">49</xref>) and non-human primates (38.3%) in the USA (<xref ref-type="bibr" rid="B50">50</xref>). It may be that the prevalence of tetracycline resistant <italic>Salmonella</italic> spp. is associated with the usage of tetracycline to treat livestock. In Bangladesh, tetracycline is commonly used to treat livestock and does not require a prescription. Salmonella resistance to azithromycin was the second highest as it was detected in 83% of <italic>Salmonella</italic> spp. isolates in the present study. A previous study in Bangladesh found similarly high (95%) rates of azithromycin resistance <italic>Salmonella</italic> spp. in human patients (<xref ref-type="bibr" rid="B51">51</xref>). The authors proposed that the high rate of azithromycin resistance in <italic>Salmonella</italic> spp. may be due to the frequent misuse of this antibiotic to treat people for enteric fever and the common cold and possible transmission to macaques <italic>via</italic> environmental contamination through excrement (<xref ref-type="bibr" rid="B52">52</xref>). In addition, 50% of <italic>Salmonella</italic> spp. samples were also found to be resistant to sulfamethoxazole-trimethoprim. This result differs slightly with a recent study conducted in Bangladesh, in which 68 and 58% of <italic>Salmonella enterica Serovar Typhi</italic> samples were resistant to sulfamethoxazole and trimethoprim, respectively (<xref ref-type="bibr" rid="B53">53</xref>). In our investigation, the prevalence of nalidixic acid-resistant <italic>Salmonella</italic> was 44%, which is lower than the prevalence reported in several previous studies of human patients (73&#x02013;93%) (<xref ref-type="bibr" rid="B53">53</xref>&#x02013;<xref ref-type="bibr" rid="B55">55</xref>). Few other AMR studies have been conducted in other wild species (wild birds, squirrels, deer) in Bangladesh and found higher antimicrobial resistance in <italic>Salmonella, E. coli</italic>, and <italic>Staphylococcus</italic> (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>We also found that <italic>Salmonella</italic> spp. isolates were susceptible to ciprofloxacin, gentamicin, and imipenem. These findings were similar to those reported by previous studies in which <italic>Salmonella</italic> spp. isolated from human samples in Montenegro, Bangladesh, and India were sensitive to ciprofloxacin (99.5%) (<xref ref-type="bibr" rid="B58">58</xref>), gentamicin (100%) (<xref ref-type="bibr" rid="B59">59</xref>), imipenem (100%) (<xref ref-type="bibr" rid="B60">60</xref>), respectively.</p>
<p>We found the <italic>Staphylococcus</italic> spp. prevalence was 16%, which was much lower than a previous study (61%) on non-human primates in Africa (<xref ref-type="bibr" rid="B24">24</xref>). In our study, the prevalence of resistant <italic>Staphylococcus</italic> spp. was higher (15%) than that of <italic>Salmonella</italic> spp. However, it was much lower than what was detected in <italic>Macaca mulatta</italic> in Spain (80%) (<xref ref-type="bibr" rid="B61">61</xref>), the Netherlands (39%) (<xref ref-type="bibr" rid="B25">25</xref>), and Wisconsin, USA (23.6%) (<xref ref-type="bibr" rid="B26">26</xref>). We found that <italic>Staphylococcus</italic> spp. in rhesus macaques was highly resistant (93%) to ampicillin, which contrasts a study that found that <italic>S. aureus</italic> isolates from African non-human primates was 2.9% resistant to penicillin (<xref ref-type="bibr" rid="B24">24</xref>). The increased interaction between synanthropic rhesus macaques and humans in South Asia is likely contributing to the higher ampicillin resistance and transfer of resistance genes in South Asia compared to African regions (<xref ref-type="bibr" rid="B62">62</xref>). Taylor and Grady reported 75% resistance to methicillin/oxacillin in <italic>Staphylococcus</italic> spp. <italic>in vitro</italic> (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p><italic>Staphylococcus</italic> spp. were highly sensitive to chloramphenicol, gentamycin, linezolid, oxacillin, tigecycline, and trimethoprim-sulfamethoxazole in our study. This sensitivity is similar to that found in human clinical specimens in the USA, where more than 90% of multidrug-resistant <italic>Staphylococcus</italic> spp. were sensitive to trimethoprim-sulfamethoxazole, linezolid, and vancomycin (<xref ref-type="bibr" rid="B63">63</xref>). The higher sensitivity of <italic>Staphylococcus</italic> spp. to these antimicrobials may be due to infection of macaque-specific <italic>Staphylococcus aureus</italic> (<xref ref-type="bibr" rid="B25">25</xref>). Another reason may be infrequent exposure of humans and animals to chloramphenicol, linezolid, Oxacillin, etc. (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Rhesus macaques from the Dhaka District had a higher odd (OR = 11.1) of harboring resistant <italic>Staphylococcus</italic> spp. We suspect this may be associated with the high human population density levels in Dhaka City and improper waste disposal management (<xref ref-type="bibr" rid="B65">65</xref>). Moreover, household drinking water supply contains diversified microorganisms that easily increase the chance of getting resistant organisms (<xref ref-type="bibr" rid="B17">17</xref>). A similar reason may be corresponded with the higher odds of resistance to <italic>Salmonella</italic> spp. in the urban areas compared to the rural areas. Macaques from the peri-urban areas also had a high odd (OR = 5.6) of having resistant <italic>Staphylococcus</italic> spp. Peri-urban regions have a decentralized waste management system (<xref ref-type="bibr" rid="B66">66</xref>) and transmission of pathogenic bacteria into the river through sewage systems (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). As in the peri-urban area, rural areas were more likely to experience Staphylococcus resistance, possibly due to the transmission of pathogenic bacteria into rural <italic>via</italic> the river; additionally, waste disposal is poor in the rural area.</p>
<p>The age-dependent differences in AMR can also be useful for monitoring the trend of antibiotic-resistant strains spreading at high-risk interfaces in Bangladesh. In reality, the behavior of individuals of the same species can vary depending on their age and gender. It is believed that young are less exposed to antibiotics than adults throughout their lifetimes, and younger animals may therefore have a lower prevalence of AMR isolates than older animals. However, our results revealed higher odds of Staphylococcus resistance in the sub-adult compared to the adult. On the other hand, no significant differences in relation to animal age for Salmonella resistance. Similar to this study, the insignificant difference in MDR has been reported in wild micromammals from Northern, Italy (<xref ref-type="bibr" rid="B69">69</xref>). The age-dependent AMR phenomena in cattle and pigs are detected regardless of geographic region and production methods. However, the nature of the AMR phenomenon is currently unexplained (<xref ref-type="bibr" rid="B70">70</xref>).</p>
<p>We discovered that macaques and people had more direct and indirect contact per hour in urban and peri-urban areas. These are most likely significant risk factors for transmitting resistant organisms/genes from humans to macaques and vice versa. Microorganism transmission from humans to non-human primates has been observed for approximately three decades (<xref ref-type="bibr" rid="B71">71</xref>) and happening frequently e.g., SARS-CoV-2 infection in a gorilla at a zoo in California (<xref ref-type="bibr" rid="B72">72</xref>). A recent qualitative study suggests that interviewees from some of these regions in Bangladesh believe that recent human encroachment into the natural habitat of macaques may have increased the amount of contact between people and macaques (<xref ref-type="bibr" rid="B73">73</xref>). Hasan et al. reported that the distribution of macaques is high in densely populated urban areas, such as old Dhaka (<xref ref-type="bibr" rid="B23">23</xref>). Macaques can also be found in temples and shrines where people frequently leave food (<xref ref-type="bibr" rid="B34">34</xref>). As a result, the rhesus macaque may acquire resistant microorganisms from humans. As expected, the contact rate between livestock and macaques was higher in rural areas, given the abundance of livestock in these areas. According to one study, many disease-causing bacteria in livestock in Bangladesh were resistant to available antibiotics, most likely due to improper antimicrobial use (<xref ref-type="bibr" rid="B3">3</xref>). Contact between livestock and macaque can potentially transmit resistant organisms and/or genes. Further, macaques frequently take waste from dustbins, snatch household food and clothes, and damage crops (<xref ref-type="bibr" rid="B74">74</xref>). Our study detected that interaction between livestock, dogs, and people with macaques frequently occurs during the conflict, crop raiding, and when people provide food (<xref ref-type="bibr" rid="B75">75</xref>). Stray dogs eat waste from dustbins and the roadside and are infected with microorganisms resistant to the majority of commonly used antibiotics (<xref ref-type="bibr" rid="B76">76</xref>).</p>
<p>The exceedingly high rates of AMR that we found in <italic>Salmonella</italic> spp. (100%) and <italic>Staphylococcus</italic> spp. (95%) suggest that macaque exposure to antimicrobial resistant bacteria at all the sampling sites was likely very high. Antibiotics are commonly used in treating humans, livestock, and poultry in Bangladesh; therefore, antibiotic residues and resistant organisms could have been passed through environmental sources and/or interspecies interaction with wild species. Rhesus macaque and other wildlife are rarely treated with antibiotics, but present study showed a relatively high frequency of antimicrobial resistance in <italic>Salmonella</italic> and <italic>Staphylococcus</italic> in the rhesus macaque. So, Nationwide programs are important to control the irrational use of antibiotics and improve the waste management and sewage system and reduce human-wildlife and livestock-wildlife interaction to decrease antimicrobial resistance among humans and animals in the future.</p>
</sec>
<sec id="s5">
<title>5. Conclusions</title>
<p>AMR is a global concern and public health threat, and the fact that it is spilling over into wildlife indicates potential widespread environmental contamination. The study identified the prevalence of 5% <italic>Salmonella</italic> spp. and 16% <italic>Staphylococcus</italic> spp. in rhesus macaque, nearly all of which were resistant (100 and 95%, respectively) in different locations in Bangladesh. The isolated organisms showed various levels of resistance to different antimicrobials. Multidrug resistance patterns in <italic>Salmonella</italic> spp. and <italic>Staphylococcus</italic> spp. were identified, including cultures resistant to up to seven antimicrobials. The high level of resistance could be attributed to interactions and transmission of resistant microorganisms between macaques, humans, and livestock. Human-macaque interactions were more common in urban habitats, while livestock-macaque interactions were more common in peri-urban and rural habitats. Even though rhesus macaques are not directly treated with antimicrobials, this study found an alarming level of resistant organisms in macaques. These findings should be viewed as an indicator of significant environmental contamination and an urgent call for stricter controls of the use of antimicrobials.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<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 sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Animal Experimentation Ethics Committee (AEEC) [permit number: CVASU/Dir (R&#x00026;E) AEEC/2015/751], Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>MRa, AI, MRo, JE, and MH: conceptualization. MRa, AI, and MU: methodology. MRa and AI: software, formal analysis, and writing&#x02014;original draft preparation. AI, SI, MRa, EH, MS, MRo, JE, and MH: validation. AI and MH: investigation. MRa, AI, and MH: resources. MRa, SI, and MU: data curation. AI, SI, MRa, EH, MRo, MS, and MH: writing&#x02014;review and editing. MU and MS: laboratory support. AI, MF, and MH: supervision and project administration. JE and AI: funding acquisition. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This study was made possible by the generous support of the United States Agency for International Development (USAID) Emerging Pandemic Threats PREDICT (cooperative agreement number AID-OAA-A-14-00102).</p>
</sec>
<ack><p>We are thankful to Pitu Biswas, Gafur Sheikh, Abdul hai, Abdullah Al Mamun and Md. Mizanur Rahman for their technical support and field assistance. We are also grateful to the laboratory stuffs of the Bangladesh Livestock and Research Institute (BLRI).</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;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>
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