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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.2025.1628812</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>Field evaluation of the P22 ELISA for diagnosis of caprine tuberculosis in an endemic area</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Velasco</surname> <given-names>Carlos</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ortega</surname> <given-names>Javier</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alvarez</surname> <given-names>Julio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Infantes Lorenzo</surname> <given-names>Jose Antonio</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/560266/overview"/>
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<contrib contrib-type="author">
<name><surname>Moreno</surname> <given-names>Jos&#x00E9; C.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sanz</surname> <given-names>Cristina</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Romero</surname> <given-names>Beatriz</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>de Juan</surname> <given-names>Lucia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Dominguez</surname> <given-names>Lucas</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Dominguez</surname> <given-names>Mercedes</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<name><surname>Moreno</surname> <given-names>Inmaculada</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Roy</surname> <given-names>Alvaro</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Bezos</surname> <given-names>Javier</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="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>VISAVET Health Surveillance Centre, Complutense University of Madrid</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Reference and Research Laboratory for Respiratory Virus, Centro Nacional de Microbiolog&#x00ED;a, Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff4"><sup>4</sup><institution>Servicio de Sanidad Animal, Direcci&#x00F3;n General de Agricultura y Ganader&#x00ED;a</institution>, <addr-line>M&#x00E9;rida</addr-line>, <country>Spain</country></aff>
<aff id="aff5"><sup>5</sup><institution>Unidad de Inmunolog&#x00ED;a Microbiana, Centro Nacional de Microbiolog&#x00ED;a, Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff6"><sup>6</sup><institution>Centro Nacional de Epidemiolog&#x00ED;a, Instituto de Salud Carlos III</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Dirk Werling, Royal Veterinary College (RVC), United Kingdom</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Kieran G. Meade, University College Dublin, Ireland</p>
<p>Heike Uta K&#x00F6;hler, Friedrich-Loeffler-Institute, Germany</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Javier Bezos, <email>jbezosga@visavet.ucm.es</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1628812</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Velasco, Ortega, Alvarez, Infantes Lorenzo, Moreno, Sanz, Romero, de Juan, Dominguez, Dominguez, Moreno, Roy and Bezos.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Velasco, Ortega, Alvarez, Infantes Lorenzo, Moreno, Sanz, Romero, de Juan, Dominguez, Dominguez, Moreno, Roy and Bezos</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>Animal tuberculosis (TB) affects a wide range of domestic species, including goats. TB eradication programs in goats are based on cell-based techniques such as the single and comparative intradermal tuberculin test (SITT and CITT, respectively). In recent years, an ELISA technique based on the P22 protein complex (P22 ELISA), has emerged as a valuable tool for TB diagnosis. The aim of the study was to evaluate the performance of the P22 ELISA in the context of a caprine TB eradication program using serum, individual milk and bulk tank milk (BTM) samples in order to define its usefulness in classifying herds compared to SITT and CITT. Samples from 53 herds categorized based on the detection of CITT reactors (16 high-risk herds, with one or more CITT reactors, and 37 low-risk herds, with only CITT-negative goats) were analyzed. Reactors in the P22 ELISA were detected in a higher number of high-risk herds using both serum (87.5%) and individual milk (81.3%) compared to SITT (75.0%) and CITT (31.3%), while the use of BTM led to the detection of 33.3% of the herds. Individual apparent prevalence was higher using the P22 ELISA in both serum (11.0%) and milk (15.0%) compared to the SITT (6.8%) and CITT (2.5%), with also a significantly (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) higher number of reactors in individual milk compared with the serum. Similarly, all six herds with MTBC confirmed infection showed reactors to the SITT, CITT, and individual serum and milk P22 ELISA (2 out of 5 detected using BTM), although the highest reactivity was observed using individual milk samples. In the low-risk herds, a lower number of positive herds and animals were found with the P22 ELISA using serum or individual milk (51.4%) compared to SITT (59.5%) while using CITT only 2.7% of the herds were positive and none reacted to the P22 ELISA in BTM samples. This study shows that the P22 ELISA, using serum and especially individual milk samples, could be a complementary tool for maximizing the sensitivity of intradermal testing within the framework of a caprine TB eradication program.</p>
</abstract>
<kwd-group>
<kwd>goat</kwd>
<kwd>tuberculosis</kwd>
<kwd>intradermal tuberculin test</kwd>
<kwd>P22 ELISA</kwd>
<kwd>serum</kwd>
<kwd>milk</kwd>
<kwd>bulk tank milk</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="10"/>
<word-count count="7618"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Veterinary Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Animal tuberculosis (TB) is a chronic zoonotic disease caused by members of the <italic>Mycobacterium tuberculosis</italic> complex (MTBC), mainly <italic>M. bovis</italic> and <italic>M. caprae</italic> (<xref ref-type="bibr" rid="ref1">1</xref>), that affects a wide range of domestic and wildlife species and humans (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Cattle have been traditionally considered the main domestic reservoir of TB infection (<xref ref-type="bibr" rid="ref4">4</xref>). However, other species such as goats play an important role on the transmission and maintenance of infection (<xref ref-type="bibr" rid="ref5 ref6 ref7">5&#x2013;7</xref>) and are also responsible for cases of TB in humans (<xref ref-type="bibr" rid="ref8">8</xref>). The animal and public health implications of TB coupled with the disease-associated economic losses highlight the importance of the diagnosis and control of caprine TB, especially in countries like Spain, which has the second largest population of goats in the European Union (2.3 million) (<xref ref-type="bibr" rid="ref9">9</xref>) and in which the small ruminant sector represents nearly 10% of total livestock production (<xref ref-type="bibr" rid="ref10">10</xref>). Nevertheless, goats are not subjected to compulsory TB eradication programs within the European Union, although the Spanish bovine TB eradication program includes surveillance and testing of caprine herds sharing pastures or epidemiologically linked to cattle herds (<xref ref-type="bibr" rid="ref11">11</xref>). However, some regions have implemented voluntary or mandatory caprine TB eradication programs (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). These programs are mainly based on test and cull strategies using the single or comparative intradermal tuberculin test (SITT or CITT, respectively), along with slaughterhouse surveillance (<xref ref-type="bibr" rid="ref13 ref14 ref15">13&#x2013;15</xref>). The limited sensitivity (Se) and specificity (Sp) of the intradermal tests in certain epidemiological settings (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>) such as in flocks infected with (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref19">19</xref>) or vaccinated against <italic>Mycobacterium avium</italic> subsp. <italic>paratuberculosis</italic> (MAP) (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), highlights the need of additional diagnostic tests that can help overcome these limitations.</p>
<p>The P22 ELISA is an immunoassay that detects specific antibodies against P22, a protein complex immunopurified from bovine Purified Protein Derivative (PPD) (<xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>). Despite the Sp of the P22 ELISA may be also compromised in scenarios of MAP infection or vaccination (<xref ref-type="bibr" rid="ref18">18</xref>), it has demonstrated to be a useful technique to maximize Se of intradermal testing at small-scale studies (ranging from 1 to 3 herds per study) (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). Furthermore, serum P22 ELISA has been used in a large-scale epidemiological study assessing MTBC circulation in southern Spain (Andalusia), a high-prevalence caprine TB region of Spain (<xref ref-type="bibr" rid="ref27">27</xref>). However, performance of the test using other type of samples such as individual milk samples or from the bulk tank (BTM) remains to be proven under field conditions at a larger scale. Milk samples may be particularly useful for TB screening in dairy caprine herds from regions or countries where compulsory testing of all animals is not affordable (<xref ref-type="bibr" rid="ref24">24</xref>). Thus, the aim of the present study was to carry out the first large scale-study evaluating the performance of the P22 ELISA in individual serum and milk samples and BTM samples in goats in an endemic area of TB.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study design</title>
<p>Between 2018 and 2019, a cross-sectional study was performed in Extremadura (Spain), the third region in terms of goat population in Spain (<xref ref-type="bibr" rid="ref10">10</xref>) and a high-prevalence region for caprine TB (6.0% herd-level prevalence based on CITT in 2017) (<xref ref-type="bibr" rid="ref28">28</xref>) and bovine TB (9.7% herd-level prevalence based on SITT in 2017) (<xref ref-type="bibr" rid="ref11">11</xref>). The study was performed in the framework of the current mandatory caprine TB eradication program of Extremadura (<xref ref-type="bibr" rid="ref28">28</xref>). Fifty-three herds were randomly included in the study and classified into two groups according to their epidemiological history of TB in the previous routinary herd-testing: high risk herds (those with one or more CITT reactors, <italic>n</italic>&#x202F;=&#x202F;16) and low-risk herds (those with only CITT-negative goats, <italic>n</italic>&#x202F;=&#x202F;37) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). No information regarding MAP infection or MAP-vaccination on these herds was available. The number of animals sampled in each herd was set to detect the presence of the TB-infection at a minimum estimated prevalence of 5.0% with a confidence level of 95% based on the size of each flock (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). A total of 2,129 goats (771 from high-risk herds and 1,358 from low-risk herds, <xref ref-type="table" rid="tab1">Table 1</xref>) were finally enrolled in the study. The animals were subjected to CITT according to the regional caprine TB eradication program and individual serum and milk samples were collected immediately before the CITT was performed. In addition, BTM samples from 43 herds (15 high-risk herds and 28 low-risk-herds) included in the study were also collected.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Distribution of the sampled herds in the region of Extremadura. Circles and triangles represent high and low-risk herds, respectively, and filled when MTBC culture confirmation.</p>
</caption>
<graphic xlink:href="fvets-12-1628812-g001.tif">
<alt-text content-type="machine-generated">Map showing the distribution of herds categorized by TB risk. High-risk herds are marked with open circles, low-risk herds with triangles, high-risk herds with a positive MTBC culture with filled circles, and low-risk herds with a positive MTBC culture with filled triangles. A compass and scale bar indicate orientation and distance.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Number of reactors to the different diagnostic techniques evaluated and apparent prevalence at herd and animal level in total herds and within the groups of the study.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Group</th>
<th align="left" valign="top" rowspan="2">Technique</th>
<th align="center" valign="top" colspan="2">Herd level</th>
<th align="center" valign="top" colspan="2">Animal level</th>
</tr>
<tr>
<th align="center" valign="top">Positive herds (<italic>n</italic>)</th>
<th align="center" valign="top">Apparent prevalence (%; Wilson&#x2019;s 95% CI)</th>
<th align="center" valign="top">Positive goats (<italic>n</italic>)</th>
<th align="center" valign="top">Apparent prevalence (%; Wilson&#x2019;s 95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="5">High-risk herds</td>
<td align="left" valign="top">SITT<sup>a</sup></td>
<td align="center" valign="top">12/16</td>
<td align="center" valign="top">75.0% (50.5&#x2013;89.8)</td>
<td align="center" valign="top">53/771</td>
<td align="center" valign="top">6.8% (5.2&#x2013;8.8)</td>
</tr>
<tr>
<td align="left" valign="top">CITT<sup>b</sup></td>
<td align="center" valign="top">5/16</td>
<td align="center" valign="top">31.3% (14.2&#x2013;55.6)</td>
<td align="center" valign="top">20/771</td>
<td align="center" valign="top">2.5% (1.6&#x2013;3.9)</td>
</tr>
<tr>
<td align="left" valign="top">Serum P22 ELISA<sup>c</sup></td>
<td align="center" valign="top">14/16</td>
<td align="center" valign="top">87.5% (64.0&#x2013;96.5)</td>
<td align="center" valign="top">85/771</td>
<td align="center" valign="top">11.0% (9.0&#x2013;13.4)</td>
</tr>
<tr>
<td align="left" valign="top">Individual milk P22 ELISA<sup>c</sup></td>
<td align="center" valign="top">13/16</td>
<td align="center" valign="top">81.3% (57.0&#x2013;93.4)</td>
<td align="center" valign="top">116/771</td>
<td align="center" valign="top">15.0% (12.7&#x2013;17.7)</td>
</tr>
<tr>
<td align="left" valign="top">BTM P22 ELISA<sup>c</sup></td>
<td align="center" valign="top">5/15</td>
<td align="center" valign="top">33.3% (15.1&#x2013;58.2)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Low-risk herds</td>
<td align="left" valign="top">SITT</td>
<td align="center" valign="top">22/37</td>
<td align="center" valign="top">59.5% (43.5&#x2013;73.7)</td>
<td align="center" valign="top">58/1358</td>
<td align="center" valign="top">4.2% (3.3&#x2013;5.4)</td>
</tr>
<tr>
<td align="left" valign="top">CITT</td>
<td align="center" valign="top">1/37</td>
<td align="center" valign="top">2.7% (0.5&#x2013;13.8)</td>
<td align="center" valign="top">1/1358</td>
<td align="center" valign="top">0.07% (0.01&#x2013;0.42)</td>
</tr>
<tr>
<td align="left" valign="top">Serum P22 ELISA</td>
<td align="center" valign="top">19/37</td>
<td align="center" valign="top">51.4% (35.9&#x2013;66.6)</td>
<td align="center" valign="top">43/1358</td>
<td align="center" valign="top">3.1% (2.3&#x2013;4.2)</td>
</tr>
<tr>
<td align="left" valign="top">Individual milk P22 ELISA</td>
<td align="center" valign="top">19/37</td>
<td align="center" valign="top">51.4% (35.9&#x2013;66.6)</td>
<td align="center" valign="top">39/1358</td>
<td align="center" valign="top">2.8% (2.1&#x2013;3.9)</td>
</tr>
<tr>
<td align="left" valign="top">BTM P22 ELISA</td>
<td align="center" valign="top">0/28</td>
<td align="center" valign="top">0.0% (0.0&#x2013;12.0)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Confirmed TB-infected herds</td>
<td align="left" valign="top">SITT</td>
<td align="center" valign="top">6/6</td>
<td align="center" valign="top">100% (60.9&#x2013;100)</td>
<td align="center" valign="top">38/259</td>
<td align="center" valign="top">14.6% (10.8&#x2013;19.5)</td>
</tr>
<tr>
<td align="left" valign="top">CITT</td>
<td align="center" valign="top">6/6</td>
<td align="center" valign="top">100% (60.9&#x2013;100)</td>
<td align="center" valign="top">21/259</td>
<td align="center" valign="top">8.1% (5.3&#x2013;12.0)</td>
</tr>
<tr>
<td align="left" valign="top">Serum P22 ELISA</td>
<td align="center" valign="top">6/6</td>
<td align="center" valign="top">100% (60.9&#x2013;100)</td>
<td align="center" valign="top">33/259</td>
<td align="center" valign="top">12.7% (9.2&#x2013;17.3)</td>
</tr>
<tr>
<td align="left" valign="top">Individual milk P22 ELISA</td>
<td align="center" valign="top">6/6</td>
<td align="center" valign="top">100% (60.9&#x2013;100)</td>
<td align="center" valign="top">58/259</td>
<td align="center" valign="top">22.3% (17.7&#x2013;27.8)</td>
</tr>
<tr>
<td align="left" valign="top">BTM P22 ELISA</td>
<td align="center" valign="top">2/5</td>
<td align="center" valign="top">40.0% (11.7&#x2013;76.9)</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>An animal was considered positive to the SITT when there was an increase of &#x2265; 4&#x202F;mm in the skin fold thickness and/or the presence of clinical signs was observed. <sup>b</sup>An animal was considered positive to the CITT when the bovine reaction was greater than the avian reaction by more than 4&#x202F;mm and/or there were clinical signs at the bovine PPD inoculation site. <sup>c</sup>An animal was considered positive to P22 ELISA when the E% value was greater than 150.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Serum and milk sample collection</title>
<p>Blood samples were collected by jugular vein puncture using a sterile collection system into tubes with no additives (Vacutainer&#x00AE;, Becton-Dickinson, USA). Then, serum samples were centrifuged (1,500&#x202F;&#x00D7;&#x202F;g for 10&#x202F;min), and 1&#x202F;mL of serum was collected and stored at &#x2212;20&#x00B0;C, until the ELISA assay was performed. Regarding milk samples, individual milk samples from the animals (4&#x2013;10&#x202F;mL) were collected from the mammary gland during the milking session. Milk from BTM was agitated for 5&#x2013;10&#x202F;min prior to sample collection (10&#x202F;mL). Later, individual milk and BTM samples were centrifuged (13,000&#x202F;&#x00D7;&#x202F;g for 5&#x202F;min) and 1&#x202F;mL of whey was collected and stored at &#x2212;20&#x00B0;C, until the ELISA testing.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Intradermal tuberculin tests</title>
<p>SITT and CITT were performed by the official veterinary services in the framework of the mandatory regional caprine TB program (<xref ref-type="bibr" rid="ref28">28</xref>), in compliance with Regulation EU 2016/429, Commission Delegated Regulation EU 2020/688 and Spanish Royal Decree 2611/1996. SITT consisted in the intradermal inoculation of 0.1&#x202F;mL of bovine PPD (CZ Vaccines, Porri&#x00F1;o, Spain) on the left-hand side of the neck using a Dermojet syringe (Akra Dermojet, Pau, France). For the CITT, and intradermal inoculation of 0.1&#x202F;mL of avian PPD on the right side of the neck was also performed. In the case of the SITT, an animal was classified as positive if an increase in the skin fold thickness &#x2265; 4&#x202F;mm and/or the presence of clinical signs (oedema, pain, exudation or necrosis) occurred (<xref ref-type="bibr" rid="ref28">28</xref>). An animal was considered positive to the CITT if the bovine reaction was &#x003E; 4&#x202F;mm greater than the avian reaction and/or the presence of clinical signs were observed at the bovine PPD inoculation site (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Indirect P22 ELISA</title>
<p>Antibodies against the P22 protein immunocomplex were analysed by employing an in-house indirect ELISA. The P22 ELISA was performed as described previously and using the optimal dilution of serum (1/100) and milk (1/8) samples in 5% skimmed milk/PBS solution (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). Afterwards, optical density (OD) was measured at 492&#x202F;mm with an ELISA reader. Serum, individual milk and BTM samples results were expressed as an ELISA percentage (E%), calculated by employing the following formula E%&#x202F;=&#x202F;[mean sample OD/ (2 x mean of negative control OD)] &#x00D7; 100. Serum, individual milk and BTM samples with E% greater than 150 were considered positive (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>MTBC and MAP culture</title>
<p>Twenty-one CITT-reactor goats in the study (20 goats belonging to 5 herds from high-risk herds and 1 goat from a low-risk herd) were culled and submitted to <italic>post-mortem</italic> analysis. Lymph nodes from head and thorax and lung samples from 8/21 (38.0%) goats were collected for MTBC culture. Tissue samples were pooled, homogenized, decontaminated using a 0.37% hexadecylpyridinium chloride and cultured on Colestos and 0.2% (w/v) pyruvate-enriched L&#x00F6;wenstein-Jensen media (BioM&#x00E9;rieux, Madrid, Spain), as described previously (<xref ref-type="bibr" rid="ref30">30</xref>). Culture was considered positive when isolates were identified as MTBC by a real-time PCR to detect IS<italic>6110</italic> sequence (<xref ref-type="bibr" rid="ref31">31</xref>). Finally, the spoligotype and MTBC species of the isolated strains were determined as previously described (<xref ref-type="bibr" rid="ref32">32</xref>) and spoligotype profiles were assigned using the mycoDB.es spoligotype database (<xref ref-type="bibr" rid="ref33">33</xref>). Herds with goats that tested culture-positive and were confirmed by PCR were considered TB-infected.</p>
<p>Regarding MAP detection, culture from tissue samples was only performed in a proportion of the herds (5/53; <xref ref-type="table" rid="tab2">Table 2</xref>), being considered a limitation of the study as regards the interpretation of the P22 ELISA results in terms of Sp. In this sense, samples from the ileocecal valve, adjacent tissue and mesenteric lymph nodes were taken for MAP culture as described elsewhere (<xref ref-type="bibr" rid="ref34">34</xref>). Samples of each animal were pooled, decontaminated using 1.5% HPC (<xref ref-type="bibr" rid="ref35">35</xref>) and inoculated onto selective media (<xref ref-type="bibr" rid="ref34">34</xref>). Afterwards, isolates were confirmed by mycobactin-dependency, and specific PCR for detection of IS<italic>900</italic> sequence (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Summary of <italic>ante-mortem</italic> and <italic>post-mortem</italic> techniques performed per herd.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Group</th>
<th align="center" valign="top" rowspan="3">Herd</th>
<th align="center" valign="top" rowspan="2">Goats sampled</th>
<th align="center" valign="top" colspan="9"><italic>Ante-mortem</italic> diagnosis</th>
<th align="center" valign="top" colspan="5"><italic>Post-mortem</italic> diagnosis</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2">SITT<sup>a</sup></th>
<th align="center" valign="top" colspan="2">CITT<sup>b</sup></th>
<th align="center" valign="top" colspan="2">Serum P22 ELISA<sup>c</sup></th>
<th align="center" valign="top" colspan="2">Milk P22 ELISA<sup>c</sup></th>
<th align="left" valign="top" rowspan="2">BTM P22 ELISA</th>
<th align="center" valign="top">Goats culled</th>
<th align="center" valign="top">MAP PCR-cultured positive</th>
<th align="center" valign="top">MTBC PCR-cultured positive</th>
<th align="left" valign="top" rowspan="2">Spoligotype</th>
<th align="left" valign="top" rowspan="2">MTBC species</th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top"><italic>n</italic>/performed</th>
<th align="center" valign="top"><italic>n</italic>/performed</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="16">High-risk</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">8.9%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">22.2%</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">37.8%</td>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1/1</td>
<td align="center" valign="top">1/1</td>
<td align="left" valign="top">SB 0416</td>
<td align="left" valign="top"><italic>M. caprae</italic></td>
</tr>
<tr>
<td align="center" valign="top">2</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">19.3%</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">17.5%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.3%</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">29.8%</td>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">3/10</td>
<td align="center" valign="top">1/1</td>
<td align="left" valign="top">SB 0157</td>
<td align="left" valign="top"><italic>M. caprae</italic></td>
</tr>
<tr>
<td align="center" valign="top">3</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">26.3%</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7.0%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">12.3%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">12.3%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">3/4</td>
<td align="center" valign="top">2/2</td>
<td align="left" valign="top">SB 0157 (x2)</td>
<td align="left" valign="top"><italic>M. caprae</italic> (x2)</td>
</tr>
<tr>
<td align="center" valign="top">4</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">5.6%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">5</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">35.0%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">35.0%</td>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">6</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">7</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">8</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">14.0%</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">15.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">9</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.3%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">10</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.5%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.5%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.5%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">11</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4.4%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4.4%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">12</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.3%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.5%</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">8.8%</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">2/2</td>
<td align="left" valign="top">SB 0157 (x2)</td>
<td align="left" valign="top"><italic>M. caprae</italic> (x2)</td>
</tr>
<tr>
<td align="center" valign="top">13</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.4%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7.1%</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">26.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">14</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.9%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">23.5%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.9%</td>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">15</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">9.8%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">7.3%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">17.1%</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">29.3%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0/2</td>
<td align="center" valign="top">1/1</td>
<td align="left" valign="top">SB 0295</td>
<td align="left" valign="top"><italic>M. bovis</italic></td>
</tr>
<tr>
<td align="center" valign="top">16</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">8.9%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">33.3%</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">44.4%</td>
<td align="left" valign="top">Positive</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="37">Low-risk</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">7.7%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">18</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">29.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">19</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">20</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.5%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">21</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">22</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">23</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.5%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.5%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">24</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">25</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">26</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">27</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">28</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">29</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.3%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">30</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">31</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.5%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">17.5%</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">12.3%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">32</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.8%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.8%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">33</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4.4%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">34</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">5.7%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">8.6%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">5.7%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">35</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">8.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">8.0%</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">4.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">36</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">31.4%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">7.8%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.9%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">37</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">9.1%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">38</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">39</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">10.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">10.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">40</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.2%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.2%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">41</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">15.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">15.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">42</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">43</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">44</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.2%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">45</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.9%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">2.9%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">46</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3.9%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">47</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">4.3%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">48</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">9.5%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">49</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6.5%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">3.2%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">50</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">11.8%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">5.9%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">51</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">14.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1.8%</td>
<td align="left" valign="top">Negative</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">52</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">25.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">25.0%</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="center" valign="top">53</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">50.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">50.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">50.0%</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">50.0%</td>
<td align="left" valign="top">&#x2013;</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1/1</td>
<td align="center" valign="top">1/1</td>
<td align="left" valign="top">SB 0157</td>
<td align="left" valign="top"><italic>M. caprae</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>a</sup>An animal was considered positive to the SITT when there was an increase of &#x2265; 4&#x202F;mm in the skin fold thickness and/or the presence of clinical signs was observed. <sup>b</sup>An animal was considered positive to the CITT when the bovine reaction was greater than the avian reaction by more than 4&#x202F;mm and/or there were clinical signs at the bovine PPD inoculation site. <sup>c</sup>An animal was considered positive to P22 ELISA when the E% value was greater than 150.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Statistical analysis</title>
<p>The proportion of reactor animals along with the Wilson 95% confidence interval (95% CI) was calculated using WinPepi version 11.65 (<xref ref-type="bibr" rid="ref38">38</xref>). The prevalence of positive goats based on the different techniques was compared using the McNemar&#x2019;s test. Agreement between tests was measured with the kappa statistic (k) and interpreted as follows: &#x003C;0.000 no agreement, 0.000&#x2013;0.200 slight, 0.201&#x2013;0.400 fair, 0.401&#x2013;0.600 moderate, 0.601&#x2013;0.800 substantial and 0.801&#x2013;1.000 almost perfect agreement (<xref ref-type="bibr" rid="ref39">39</xref>). Spearman&#x2019;s rank correlation coefficient (r<sub>s</sub>) was employed to assess the relation between E% values in serum and individual milk samples in the P22 ELISA and between the mean E% values obtained in the individual milk P22 ELISA and E% values obtained in BTM samples.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>High-risk herds (<italic>n</italic>&#x202F;=&#x202F;16)</title>
<p>The number and percentage of reactors to SITT, CITT and P22 ELISA using individual serum and individual milk and BTM in herds included in the study are summarized in <xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>. Out of the 16 high-risk herds, SITT and CITT reactors were found in 12 (75.0%) and 5 (31.3%) of them respectively, while one or more P22 ELISA-positive animals were found in 14 (87.5%), 13 (81.3%) and 5 (33.3%) herds using serum, individual milk and BTM samples, respectively.</p>
<p>Individual apparent prevalence obtained using the P22 ELISA in serum (11.0%) and especially individual milk (15.0%) was higher than using SITT (6.8%) and CITT (2.5%), with also a significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) proportion of reactors found in the P22 ELISA when considering the individual milk samples compared with serum (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). Agreement between techniques is detailed in <xref ref-type="table" rid="tab3">Table 3</xref>. Agreement between cellular and humoral techniques was slight, while it was from moderate to substantial when comparison was made only considering cellular or humoral tests separately. A positive correlation (r<sub>s</sub>&#x202F;=&#x202F;0.620; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>) was observed between E% values in serum and individual milk, which was stronger (r<sub>s</sub>&#x202F;=&#x202F;0.789; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) when considering E% values in BTM and the mean E% values in individual milk samples from a given herd. In addition, among the positive BTM samples, the lowest herd prevalence based on individual milk was 5.9%.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Agreement (kappa value) between the different diagnostic techniques evaluated at the animal level.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Technique</th>
<th align="center" valign="top">High-risk herds (<italic>n</italic>&#x202F;=&#x202F;771 goats)</th>
<th align="center" valign="top">Low-risk herds (<italic>n</italic>&#x202F;=&#x202F;1,358 goats)</th>
<th align="center" valign="top">Confirmed TB-infected herds (<italic>n</italic>&#x202F;=&#x202F;259 goats)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">SITT vs.</td>
<td align="left" valign="top">CITT</td>
<td align="center" valign="top">0.530</td>
<td align="center" valign="top">0.032</td>
<td align="center" valign="top">0.678</td>
</tr>
<tr>
<td align="left" valign="middle">Serum P22 ELISA</td>
<td align="center" valign="middle">0.145</td>
<td align="center" valign="middle">0.106</td>
<td align="center" valign="middle">0.168</td>
</tr>
<tr>
<td align="left" valign="middle">Individual milk P22 ELISA</td>
<td align="center" valign="middle">0.157</td>
<td align="center" valign="middle">0.071</td>
<td align="center" valign="middle">0.139</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">CITT vs.</td>
<td align="left" valign="middle">Serum P22 ELISA</td>
<td align="center" valign="middle">0.115</td>
<td align="center" valign="middle">0.044</td>
<td align="center" valign="middle">0.260</td>
</tr>
<tr>
<td align="left" valign="middle">Individual milk P22 ELISA</td>
<td align="center" valign="middle">0.123</td>
<td align="center" valign="middle">0.049</td>
<td align="center" valign="middle">0.209</td>
</tr>
<tr>
<td align="left" valign="middle">Serum P22 ELISA vs.</td>
<td align="left" valign="middle">Individual milk P22 ELISA</td>
<td align="center" valign="middle">0.607</td>
<td align="center" valign="middle">0.522</td>
<td align="center" valign="middle">0.567</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Low-risk herds (<italic>n</italic>&#x202F;=&#x202F;37)</title>
<p>In the low-risk herds, a lower reactivity at herd and individual level was observed when performing cell-based and humoral techniques compared to high-risk herds (<xref ref-type="table" rid="tab1">Table 1</xref>). Within low-risk herds, at least one reactor was found in 59.5 and 2.7% of the herds when performing the SITT and CITT, respectively. Regarding P22 ELISA, 51.4% of the low-risk herds contained reactors to both serum and individual milk samples but none of the herds were positive in the BTM testing (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>Similarly to the herd level, the percentage of reactors in the P22 ELISA using serum (3.1%) and milk (2.8%) samples were again lower compared to SITT (4.2%), but higher than when using CITT (0.07%). Also, in this set, a moderate agreement was observed between the P22 ELISA in serum and milk (<xref ref-type="table" rid="tab3">Table 3</xref>). However, a slight agreement was observed between the SITT and CITT specifically and between cell-based and humoral-based techniques in general. Moreover, a positive but weaker correlation (r<sub>s</sub>&#x202F;=&#x202F;0.363; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>) than that observed in the high-risk herds, was found between E% values in serum and individual milk.</p>
</sec>
<sec id="sec12">
<label>3.3</label>
<title>Infected herds confirmed by bacteriology (<italic>n</italic> =&#x202F;6)</title>
<p>MTBC infection was confirmed in six herds (five high-risk ones and one low-risk herd). Three spoligotypes were found: SB0157 (<italic>M. caprae</italic>; in four herds) and SB0416 (<italic>M. caprae</italic>), and SB0295 (<italic>M. bovis</italic>) in one each herd. In addition, PTB infection was confirmed by bacteriological culture in four of the five TB-infected herds for which PTB data were available (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<p>Reactivity among the confirmed TB-infected herds is summarized in <xref ref-type="table" rid="tab1">Table 1</xref>. Reactors in the SITT, CITT and P22 ELISA using serum and individual milk samples were found in all six TB-infected herds, while only 2/5 were detected using BTM samples. Similarly to what was observed in high-risk herds, a higher proportion of goats were detected using milk based P22 ELISA (22.3%) compared to serum (12.7%), SITT (14.6%) and CITT (8.1%) (<xref ref-type="table" rid="tab1">Table 1</xref>), with a significantly higher (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) proportion of reactors found in the P22 ELISA in the individual milk samples compared with serum. In addition, a moderate to substantial agreement was observed among cellular and humoral techniques, but it was only from slight to fair when comparing the intradermal tests versus the P22 ELISA (<xref ref-type="table" rid="tab3">Table 3</xref>). Moreover, a strong correlation (r<sub>s</sub>&#x202F;=&#x202F;0.696; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>) was observed between E% values in serum and individual milk but only a weak not statistically significant correlation (r<sub>s</sub>&#x202F;=&#x202F;0.300; <italic>p</italic>&#x202F;&#x003E;&#x202F;0.05) was found between E% values in BTM and the mean E% values in individual milk samples.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec13">
<label>4</label>
<title>Discussion</title>
<p>A critical aspect for the TB persistence is the epidemiological role that goats play in the maintenance of the infection, not only being susceptible to MTBC infection but also acting as a reservoir (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). The challenging diagnosis of TB in goats and the development of humoral-based methodologies, including the P22 ELISA, over the last few years highlight the need for a large-scale study in order to evaluate the usefulness of this technique within a TB eradication program in goats, which was the main objective of the present study.</p>
<p>Regarding P22 ELISA results in high-risk herds, a higher reactivity was observed at herd and animal level when using serum and individual milk samples compared the intradermal tests, thus suggesting a higher Se of the P22 ELISA given the known limitations of intradermal tests (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). In addition, even though the proportion of positive herds was similar both when considering serum and individual milk samples, at the individual level a significantly higher proportion of goats were found in the individual milk compared with serum samples, what could indicate a higher Se of the test when using the former. This trend was also observed in the six herds with a confirmed TB-infection by culture. This findings align with a previous study (<xref ref-type="bibr" rid="ref25">25</xref>) evaluating the reactivity of the P22 ELISA in serum and individual milk samples at a different sampling times in a caprine TB-infected herd that described a slightly higher Se of the P22 ELISA in individual milk samples. Nonetheless, another study (<xref ref-type="bibr" rid="ref24">24</xref>) reported a slightly lower Se of the P22 ELISA when using individual milk samples compared to serum in goats with confirmed TB-infection by culture and/or the presence of TB-like lesions (TBLLs). However, since these studies were based on a small sample size (<italic>n</italic>&#x202F;&#x003C;&#x202F;150 animals), our larger dataset may provide more representative results when applying the P22 ELISA at a larger scale. Therefore, milk-based testing may prove effective in identifying a higher number of reactors and can be an excellent alternative for TB diagnosis due to the rapid and non-invasive sampling of the goats during the milking session by the farm-operators, leading to fewer sampling costs-associated and animal welfare consequences compared to serum (<xref ref-type="bibr" rid="ref24">24</xref>). These findings along with the low agreement between the P22 ELISA and intradermal tests in observed in the study highlight the potential use of the P22 ELISA as a complementary technique for surveillance of TB-infected herds in the context of an eradication program.</p>
<p>Regarding BTM samples, in our study a lower proportion of herds were considered positive when using BTM compared with individual samples both among the high-risk herds and the TB-confirmed herds (between 33.3 and 40.0% depending on the study group). This suggests a lower Se of this diagnostic strategy compared with a previous study from Waters and collaborators (<xref ref-type="bibr" rid="ref41">41</xref>) evaluating BTM-based sampling in cattle herds, that reported a Se of 82.3%. However, differences in BTM performance may be influenced by the humoral technique used, species-specific responses (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref26">26</xref>) or a dilution effect of the samples (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>) since BTM samples in the study from Waters and collaborators were collected from herds with an unclear prevalence rate of TB (<xref ref-type="bibr" rid="ref41">41</xref>). In this sense, a strong correlation was observed in our study between E% values in BTM and the mean E% values in individual milk samples within herds.</p>
<p>In the low-risk herds, herd and animal-level prevalence were similar in serum and individual milk P22 ELISA and SITT, but higher than CITT. It is widely known that the Sp of the SITT may be compromised under certain circumstances, such as the infection with non-tuberculous mycobacteria (NTM) (<xref ref-type="bibr" rid="ref44">44</xref>), or infection with/vaccination against MAP (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). For this reason, regional caprine TB programs in Spain allow the use of the CITT to differentiate between TB-infected animals from those sensitized to bovine PPD as a result of exposure to NTM or vaccination against PTB (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). In general terms, PTB vaccination is widely used in caprine herds in Spain (<xref ref-type="bibr" rid="ref5">5</xref>). Nevertheless, the absence of an official PTB eradication program and an associated vaccination registry, it was not possible to know which herds were vaccinated in this study. The detection of TB infection by culture in a low-risk herd (in which SITT and CITT detected) highlights the risk of infection also in this low-risk category. Therefore, it is difficult to determine if the higher proportion of reactors found in the P22 ELISA in the low-risk herds is related to a lack of Sp or an increased Se. A previous study (<xref ref-type="bibr" rid="ref18">18</xref>) reported that the Sp of P22 ELISA may be significantly affected in MAP-vaccinated and TB-free goats where compulsory intradermal tuberculin tests were also performed (conditions that may commonly occur in the context of an eradication program in goats), reaching values of nearly 40% 12 months post-vaccination. In addition, Infantes-Lorenzo and collaborators (<xref ref-type="bibr" rid="ref29">29</xref>) observed that Sp of P22 ELISA may drop to 56.1% in non-vaccinated herds against PTB, probably due to the high prevalence of MAP in goats in certain countries including Spain (<xref ref-type="bibr" rid="ref19">19</xref>). In this sense, it is possible that infection with MAP or other NTMs (since in our study PTB infection was confirmed in 4/5 of the herds from which <italic>post-mortem</italic> data could be obtained) as well as MAP-vaccination of the animals could have compromised the Sp of the P22 ELISA and led to the detection of false-positive reactors not only in low-risk herds but also in high-risk and confirmed TB-infected herds. However, though a similar reactivity was observed in individual milk and serum in low-risk herds, the higher rate of positive animals in the P22 ELISA using individual milk compared to serum and intradermal test in high-risk and TB-infected herds tests observed in the present study suggest that individual milk samples may be a valuable sample for TB diagnosis. Furthermore, a more stringent cut-off used in previous studies (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref29">29</xref>) was also evaluated, reporting a higher reactivity in high-risk and confirmed TB-infected herds (especially using individual milk samples). Nevertheless, it was not finally considered due to the significant loss of Sp (mainly in serum) in low-risk herds (data not shown).</p>
<p>Moreover, P22 ELISA in BTM samples yielded the lowest number of positives, suggesting it to be the most specific technique among the evaluated in the present study. In line with this findings, Waters and collaborators (<xref ref-type="bibr" rid="ref41">41</xref>) observed that none of the 185&#x202F;TB-free cattle herds reacted to a commercial ELISA technique detecting antibodies against <italic>M. bovis</italic> in BTM samples. However, although the high Sp of P22 ELISA in BTM samples may be related to a limited Se in TB-infected herds, in our study the P22 ELISA in BTM detected 40.0% of the herds with confirmed TB-infection. This high Sp and acceptable Se of this type of sample may indicate the need for adjustment of the optimal cut-off, which should be addressed in further studies with a higher sample size assessing different interpretation criteria and considering specific limitations of BTM samples such as the dilution effect (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, the P22 ELISA in serum and individual milk samples shows potential as a complementary tool to enhance the Se of the intradermal test and accelerate eradication efforts. In addition, while serum and individual milk samples showed similar reactivity in low-risk herds the latter would be valuable for maximizing the number of reactors using the P22 ELISA in infected settings.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec16">
<title>Ethics statement</title>
<p>The requirement of ethical approval was waived by study carried out in the context of the official eradication program in goats in Extremadura (Spain) with the authorization of the official veterinary services (authors) for the studies involving animals because animals were not considered experimental animals. Serum/milk samples were collected in the context of the eradication programs/production system and authorized by official veterinary services. Skin test were performed by official veterinary services in the context of eradication programs in goats. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was not obtained from the owners for the participation of their animals in this study because, due to compulsory analysis in the context of the official TB eradication programs, all herds must be subjected to intradermal testing and sampling and farmers are informed.</p>
</sec>
<sec sec-type="author-contributions" id="sec17">
<title>Author contributions</title>
<p>CV: Writing &#x2013; original draft, Software, Formal analysis, Writing &#x2013; review &#x0026; editing, Visualization. JO: Investigation, Writing &#x2013; review &#x0026; editing, Formal analysis, Data curation. JA: Writing &#x2013; review &#x0026; editing. JI: Writing &#x2013; review &#x0026; editing. JCM: Writing &#x2013; review &#x0026; editing, Conceptualization. CS: Writing &#x2013; review &#x0026; editing, Conceptualization. BR: Writing &#x2013; review &#x0026; editing. LJ: Writing &#x2013; review &#x0026; editing. LD: Resources, Investigation, Writing &#x2013; review &#x0026; editing. MD: Writing &#x2013; review &#x0026; editing. IM: Writing &#x2013; review &#x0026; editing. AR: Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing, Investigation. JB: Writing &#x2013; review &#x0026; editing, Investigation, Funding acquisition, Resources, Data curation, Formal analysis.</p>
</sec>
<sec sec-type="funding-information" id="sec18">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was made possible by funding from ICRAD, an ERA-NET cofunded under European Union&#x2019;s Horizon 2020 research and innovation programme under grant agreement no. 862605, Spanish Ministry of Science and Innovation (PCI2023-143368) and Spanish Ministry of Agriculture, Fisheries and Food. CV holds a PhD fellowship (reference CT25/24) from the Universidad Complutense de Madrid and Banco Santander. JO was supported by an FPU (Formaci&#x00F3;n de Profesorado Universitario) contract-fellowship provided by the Spanish Ministry of Science and Innovation (FPU18/05197).</p>
</sec>
<ack>
<p>The authors would like to thank Mycobacteria Unit of VISAVET-UCM and Official Veterinary Services of Extremadura for their technical assistance.</p>
</ack>
<sec sec-type="COI-statement" id="sec19">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="sec20">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec21">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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<sec sec-type="supplementary-material" id="sec22">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fvets.2025.1628812/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fvets.2025.1628812/full#supplementary-material</ext-link></p>
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