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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.2025.1398983</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>Evaluation of twin-arginine translocation substrate proteins as potential antigen candidates for serodiagnosis of brucellosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wu</surname> <given-names>Yao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref rid="fn1002" ref-type="author-notes"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Yan</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref rid="fn1002" ref-type="author-notes"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Mingjun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Guo</surname> <given-names>Xiaohan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1614732/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Jiaqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Xiangxiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Mengda</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Haobo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Nan</surname> <given-names>Wenlong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Shao</surname> <given-names>Weixing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Fangkun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1967486/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Fan</surname> <given-names>Xiaoxu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sun</surname> <given-names>Shufang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Laboratory of Zoonoses, China Animal Health and Epidemiology Center</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Animal Science and Veterinary Medicine, Shandong Agricultural University</institution>, <addr-line>Tai'an</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Lab of Environment and Health, School of Public Health, Xuzhou Medical University</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Key Laboratory of Animal Biosafety Risk Prevention and Control (South), Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Key Laboratory of Ruminant Infectious Disease Prevention and Control (East), Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Qingdao</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Subhash Verma, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, India</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Mohamed Nayel, University of Sadat City, Egypt</p>
<p>Saurabh Gupta, GLA University, India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Fangkun Wang, <email>wangfangkun@sdau.edu.cn</email></corresp>
<corresp id="c002">Xiaoxu Fan, <email>fanxiaoxu@cahec.cn</email></corresp>
<corresp id="c003">Shufang Sun, <email>sunshufang@cahec.cn</email></corresp>
<fn fn-type="equal" id="fn1002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1398983</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Wu, Yan, Sun, Guo, Li, Sun, Liu, Zhang, Nan, Shao, Wang, Fan and Sun.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wu, Yan, Sun, Guo, Li, Sun, Liu, Zhang, Nan, Shao, Wang, Fan and Sun</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 id="sec1001">
<title>Introduction</title>
<p>Brucellosis, an infectious zoonotic disease caused by members of the genus <italic>Brucella</italic>, results in chronic multi-organ injury. Improving the specificity and sensitivity of serological methods for diagnosing brucellosis necessitates the development of novel diagnostic antigens. The twin-arginine translocation (Tat) pathway is responsible for transporting folded proteins across the cytoplasmic membrane and has been implicated in the virulence of <italic>Brucella</italic>. Three Tat substrate proteins&#x2014;L,D-transpeptidase ErfK (A0577), linear amide C-N hydrolase YxeI (A1479), and thioesterase domain-containing protein EntF (B0249)&#x2014;contribute significantly to <italic>Brucella</italic> virulence. However, the roles of these Tat substrate proteins in diagnosing brucellosis remain unclear.</p>
</sec>
<sec id="sec2001">
<title>Methods</title>
<p>In this study, ErfK, YxeI, and EntF were expressed in prokaryotic cells and utilized as diagnostic antigens. The clinical sera from bovines and sheep diagnosed with brucellosis were analyzed using indirect ELISA with these proteins.</p>
</sec>
<sec id="sec3001">
<title>Results</title>
<p>For bovine serum, the combined protein group (ErfK + YxeI + EntF) and YxeI demonstrated the highest diagnostic accuracy of 94.23% and 93.58%, respectively. Meanwhile, the combined protein group showed the strongest ability to detect <italic>Brucella</italic> in sheep serum, achieving an accuracy of 88.10%. Both the combined protein group and YxeI displayed no cross-reactivity with rabbit serum immunized against <italic>Yersinia enterocolitica</italic> O9, <italic>Escherichia coli</italic> O157:H7, <italic>Mycobacterium tuberculosis</italic>, <italic>Vibrio cholerae</italic>, <italic>Legionella</italic>, and <italic>Salmonella</italic>, indicating relatively good specificity.</p>
</sec>
<sec id="sec4001">
<title>Conclusion</title>
<p>The findings of this study suggest that Tat substrate proteins serve as promising candidate antigens with significant potential value for the clinical diagnosis of brucellosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd><italic>Brucella</italic></kwd>
<kwd>twin-arginine protein translocation</kwd>
<kwd>translocated substrates</kwd>
<kwd>diagnosis</kwd>
<kwd>ELISA</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="23"/>
<page-count count="9"/>
<word-count count="5090"/>
</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>Brucellosis is a significant global zoonotic disease caused by bacteria of the genus <italic>Brucella</italic>. This disease is characterized by bacterial persistence within the reticuloendothelial system, and infection can lead to abortion in infected ruminants (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Zoonotic transmission of <italic>Brucella</italic> to humans occurs through direct contact with infected animals or consumption of <italic>Brucella</italic>-contaminated foods, such as meat, milk, and dairy products (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). In humans, brucellosis is manifested by weakness, undulant fever, and chronic inflammation in various organs, posing a serious threat to human health and wellbeing (<xref ref-type="bibr" rid="ref5">5</xref>). A crucial step in controlling this disease is the accurate diagnosis and elimination of infected animals, underscoring the need for enhanced timely and precise diagnostic measures for brucellosis.</p>
<p>Several diagnostic tools are employed for the detection of brucellosis. The gold standard for diagnosis is the isolation of the bacterium from blood, tissue specimens, body fluids, and bone marrow; however, the isolation frequency is often low, and the results are not obtained immediately. Consequently, serological tests are commonly used for diagnosing brucellosis in both humans and animals. Classical serological tests&#x2014;such as the Rose Bengal plate agglutination test (RBPT), tube agglutination test (SAT), fluorescence polarization assay (FPA), and complement fixation test (CFT)&#x2014;detect antibodies against lipopolysaccharide (LPS). These methods, however, may cross-react with other Gram-negative bacteria, such as <italic>Yersinia enterocolitica</italic> O9 and <italic>Escherichia coli</italic> O157:H7, leading to incorrect diagnoses (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). The limitations of classical serological tests highlight the urgent need to identify alternative antigens for brucellosis detection.</p>
<p>Among the non-polysaccharide <italic>Brucella</italic> cell protein antigens, the type IV secretion system component protein VirB12 and the outer membrane proteins Omp31, Omp25, and the 26&#x202F;kDa periplasmic immunogenic protein bp26 show promise as useful serological diagnostic markers for brucellosis (<xref ref-type="bibr" rid="ref8">8</xref>&#x2013;<xref ref-type="bibr" rid="ref10">10</xref>). In our previous study, we found that the twin-arginine translocation (Tat) system and its substrates for <italic>B. melitensis</italic> M28 are crucial for <italic>ex vivo</italic> and <italic>in vivo</italic> infections; however, the role of Tat substrate proteins in diagnosing brucellosis remains unclear. This study investigates three <italic>Brucella</italic> virulence-related Tat substrate proteins&#x2014;L,D-transpeptidase ErfK (A0577), linear amide C-N hydrolase YxeI (A1479), and thioesterase domain-containing protein EntF (B0249)&#x2014;to systematically analyze their roles in the diagnosis of brucellosis in bovine and sheep sera.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Serum samples</title>
<p>A total of 156 bovine sera (brucellosis-positive sera&#x202F;=&#x202F;43, brucellosis-negative sera&#x202F;=&#x202F;113) and 126 sheep sera (brucellosis-positive sera&#x202F;=&#x202F;34, brucellosis-negative sera&#x202F;=&#x202F;92) were provided by the China Animal Health and Epidemiology Center (Qingdao, China). All brucellosis-positive sera were confirmed by the Rose Bengal plate agglutination test (RBPT) and tube agglutination test (SAT). These seropositive sera were obtained from animals confirmed by bacteriological identification for <italic>Brucella</italic>. Negative sera were originated from a brucellosis-free area in China. The bovine and sheep negative and positive control sera for brucellosis were purchased from the China Veterinary Drug Control Institute for antigenicity analysis and indirect enzyme-linked immunosorbent assay (iELISA).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Cloning, expression of the target genes, and protein purification</title>
<p>The reference DNA sequence of <italic>Brucella melitensis</italic> M28 (NCBI reference numbers are NC_017244.1 and NC_017245.1 for chromosome 1 and chromosome 2, respectively) was used for designing primers, comparing amplified sequences, and so on. In our study, three Tat substrate proteins, namely, ErfK (A0577, Accession: WP_002963714.1), YxeI (A1479, Accession: WP_002964574.1), and EntF (B0249, Accession: WP_002968302.1), were selected, which are related to <italic>Brucella</italic> virulence. The DNA fragments of ErfK, YxeI, and EntF, synthesized by Sangon Technology Co., Ltd. (Shanghai, China), were inserted into the expression vector pET30a. Expression and purification of the recombinant proteins were performed in our laboratory as described elsewhere (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Western blot</title>
<p>Western blot analysis of antigens was performed as previously described (<xref ref-type="bibr" rid="ref7">7</xref>). Following separation by SDS-PAGE, the target proteins were transferred to a nitrocellulose membrane. The membrane was blocked with 5% skim milk in phosphate-buffered solution (PBS) for 1&#x202F;h at room temperature, washed three times with PBST (PBS containing 0.5% Tween-20), and incubated with bovine and sheep brucellosis-positive sera (1,1,000) overnight at 4&#x00B0;C. The membrane was washed with PBST three times and incubated with horseradish peroxidase (HRP)-labeled protein G (Thermo, USA) used at a 1:8,000 dilution. Finally, the membrane was washed with PBST three times, and development of the HRP signal was performed using an electrochemiluminescence (ECL) reagent (Yeasen, China).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Different antigens and combinations</title>
<p>The expressed proteins rErfK, rYxeI, and rEntF were analyzed for their efficiency in detecting bovine and sheep brucellosis. The different antigens and combinations are shown in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Different tat substrate protein antigens.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Antigens</th>
<th align="left" valign="top">Proteins</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Single antigen</td>
<td align="left" valign="top">rErfK (A0577)</td>
</tr>
<tr>
<td align="left" valign="top">Single antigen</td>
<td align="left" valign="top">rYxeI (A1479)</td>
</tr>
<tr>
<td align="left" valign="top">Single antigen</td>
<td align="left" valign="top">rEntF (B0249)</td>
</tr>
<tr>
<td align="left" valign="top">Combination</td>
<td align="left" valign="top">rErfK + rYxeI + rEntF (1:1:1)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Establishment of the indirect ELISA method</title>
<p><italic>Brucella</italic> antibodies in bovine and sheep sera were detected by indirect ELISA. For the procedure, the Tat substrate-coated antigen was produced by a combination of equal concentrations of rErfK, rYxeI, and rEntF and used as one coating antigen. 100&#x202F;&#x03BC;L of the combined protein group and purified single recombinant Tat substrate proteins at a final concentration of 0.78&#x202F;&#x03BC;g/mL in 0.05&#x202F;M bicarbonate buffer were added to each well in a 96-well plate (NUNC, Denmark), and the plate was incubated for 1&#x202F;h at 37&#x00B0;C. After washing three times with PBST, the plate was blocked in 5% skim milk in PBS for 90&#x202F;min at 37&#x00B0;C. Next, the plate was washed three times with PBST, 100&#x202F;&#x03BC;L of serum was added to each well, and the plate was incubated for 2&#x202F;h at 37&#x00B0;C. Subsequently, the plate was washed three times with PBST, HRP-labeled protein G was added (1,8,000 dilution, PBS) (Thermo, USA), and the plate was incubated at 37&#x00B0;C for 1&#x202F;h. After washing three times with PBST, 100&#x202F;&#x03BC;L tetramethylbenzidine (TMB) substrate solution (Sigma, USA) was added to each well for 5&#x202F;min at room temperature in complete darkness. Then, the reaction was stopped by adding 50&#x202F;&#x03BC;L of ELISA Stop Solution (Solarbio, China). Finally, the OD<sub>450</sub> was measured using an ELISA plate reader (TECAN, Switzerland).</p>
<p>Dot plots, receiver operating characteristic (ROC) curves, and the area under the ROC curve (AUC) were obtained to determine the effectiveness of single Tat substrate antigens and combined antigens (<xref ref-type="bibr" rid="ref22">22</xref>). A cutoff value was calculated by the Youden index (specificity + sensitivity - 1), and true positives (TP), true negatives (TN), false positives (FP), false negatives (FN), accuracy, positive predictive value (PPV), and negative predictive value (NPV) were also obtained. Accuracy, PPV, and NPV were calculated according to the following equations: Accuracy&#x202F;=&#x202F;(TP&#x202F;+&#x202F;TN/TP&#x202F;+&#x202F;FN&#x202F;+&#x202F;TN&#x202F;+&#x202F;FP)&#x202F;&#x00D7;&#x202F;100; PPV&#x202F;=&#x202F;(TP/TP&#x202F;+&#x202F;FP)&#x202F;&#x00D7;&#x202F;100; and NPV&#x202F;=&#x202F;(TN/TN&#x202F;+&#x202F;FN)&#x202F;&#x00D7;&#x202F;100 (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Specificity and repeatability assessment</title>
<p>To verify the specificity of the three proteins as diagnostic antigens, we analyzed rabbit serum that had been immunized with pathogenic bacteria that were prone to cross-reaction with <italic>Brucella</italic>, including <italic>Yersinia enterocolitica</italic> O9, <italic>Escherichia coli</italic> O157:H7, <italic>Mycobacterium tuberculosis</italic>, <italic>Vibrio cholerae</italic>, <italic>Legionella</italic>, and <italic>Salmonella</italic>, which was purchased from Tianjin Biochip Corporation (Tianjin, China). The serum was selected for the cross-reaction assay using HRP-labeled sheep anti-rabbit IgG secondary antibody (1:5,000) (Thermo, USA). To estimate the inter- and intra-assay precision, the coefficients of variation (CVs) of repeated tests within batches and between batches, respectively, were all calculated five times by using the positive and negative brucellosis serum samples (<xref ref-type="bibr" rid="ref12">12</xref>). The detection procedures were the same as those described in section serum testing.</p>
</sec>
<sec id="sec9">
<label>2.7</label>
<title>Statistical analysis</title>
<p>Dot plot and receiver operating characteristic (ROC) analyses were performed using GraphPad Prism version 10.0.0. A <italic>p</italic>-value of &#x003C;0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<label>3</label>
<title>Results</title>
<sec id="sec11">
<label>3.1</label>
<title>Expression and purification of tat substrate proteins</title>
<p>Tat substrate proteins ErfK, YxeI, and EntF were expressed and purified using a previously described hybrid procedure of denaturing&#x2013;renaturing procedure (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). The SDS-PAGE analysis showed that the majority of the expressed three Tat substrate proteins were found in the inclusion body (<xref ref-type="fig" rid="fig1">Figure 1</xref>), and the Ni-NTA Spin Kit purified the inclusion body. After expression and purification, SDS-PAGE confirmed that the three Tat substrate proteins were successfully purified, with the molecular weights of rErfK, rYxeI, and rEntF being 25&#x202F;kDa, 38&#x202F;kDa, and 21&#x202F;kDa, respectively (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Prokaryotic expression of recombinant proteins. Lane M: protein marker; Lane 1: non-induced ErfK <bold>(A)</bold>, YexI <bold>(B)</bold>, and EntF <bold>(C)</bold>; Lane 2: induced ErfK <bold>(A)</bold>, YexI <bold>(B)</bold>, and EntF <bold>(C)</bold> supernatant at 20&#x00B0;C; Lane 3: induced ErfK <bold>(A)</bold>, YexI <bold>(B)</bold>, and EntF <bold>(C)</bold> precipitate at 20&#x00B0;C; Lane 4: induced ErfK <bold>(A)</bold>, YexI <bold>(B)</bold>, and EntF <bold>(C)</bold> supernatant at 37&#x00B0;C; and Lane 5: induced ErfK <bold>(A)</bold>, YexI <bold>(B)</bold>, and EntF <bold>(C)</bold> precipitate at 37&#x00B0;C.</p>
</caption>
<graphic xlink:href="fvets-12-1398983-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>SDS-PAGE analysis of the purification of recombinant proteins. Lane M: protein marker; Lane 1: rErfK protein (25&#x202F;kDa); Lane 2: rYxeI protein (38&#x202F;kDa); and Lane 3: rEntF protein (21&#x202F;kDa).</p>
</caption>
<graphic xlink:href="fvets-12-1398983-g002.tif"/>
</fig>
</sec>
<sec id="sec12">
<label>3.2</label>
<title>Antigenicity assessment of tat substrate proteins by reacting with sera using Western blot</title>
<p>The ability of these three Tat substrate proteins in diagnosing bovine and sheep brucellosis was evaluated using bovine and sheep positive and negative sera by the Western blot method. The results showed that the three Tat substrate proteins of <italic>B. melitensis</italic> M28 were recognized by the positive sera against <italic>B. melitensis</italic> and <italic>B. abortus.</italic> All tested proteins were not reacted with negative sera (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Taken together, our results suggest that the Tat substrate proteins ErfK, YxeI, and EntF of <italic>B. melitensis</italic> M28 could be used in preparation of Tat substrates by ELISA.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Analysis of the reaction of recombinant proteins with standard sera by Western blot method. <bold>(A)</bold> Reactivity of recombinant proteins with bovine sera. <bold>(B)</bold> Reactivity of recombinant proteins with sheep sera. Lane 1: rErfK reacts with positive sera; Lane 2: rYxeI reacts with positive sera; Lane 3: rEntF reacts with positive sera; Lane 4: rErfK reacts with negative sera; Lane 5: rYxeI reacts with negative sera; and Lane 6: rEntF reacts with negative sera. The arrows are a reference to the target protein bands.</p>
</caption>
<graphic xlink:href="fvets-12-1398983-g003.tif"/>
</fig>
</sec>
<sec id="sec13">
<label>3.3</label>
<title>Optimization of the tat substrate proteins&#x2019; concentration and serum dilution of iELISA</title>
<p>The optimal conditions for antigen coating and serum dilution in iELISA were determined by chessboard titration. Individual Tat substrate proteins and their combination were tested. The combination tests showed the best abilities in discerning bovine and sheep brucellosis-positive sera from negative sera, with maximum P/N ratios of 2.29 and 2.59, respectively. For the EntF group, the maximum ratio of P/N was 2.03 and 2.50, respectively, with an optimal dilution of serum being 1:400. ErfK and YxeI showed similar abilities to discern sheep brucellosis-positive and negative sera, with maximum P/N ratios of 2.37 and 2.33, respectively (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Optimization of antigen concentration and serum dilution for iELISA.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Antigen</th>
<th align="center" valign="top">Maximum P/N value</th>
<th align="center" valign="top">OD<sub>450</sub> (mean&#x202F;&#x00B1;&#x202F;SD) (positive serum)</th>
<th align="center" valign="top">OD<sub>450</sub> (mean&#x202F;&#x00B1;&#x202F;SD) (negative serum)</th>
<th align="center" valign="top">Antigen coating concentration (&#x03BC;g/mL)</th>
<th align="center" valign="top">Serum dilution</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ErfK<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">1.94</td>
<td align="center" valign="top">0.6862&#x202F;&#x00B1;&#x202F;0.2877</td>
<td align="center" valign="top">0.3528&#x202F;&#x00B1;&#x202F;0.1763</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">YxeI<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">2.24</td>
<td align="center" valign="top">0.7363&#x202F;&#x00B1;&#x202F;0.3046</td>
<td align="center" valign="top">0.3287&#x202F;&#x00B1;&#x202F;0.1565</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">EntF<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">2.03</td>
<td align="center" valign="top">0.5336&#x202F;&#x00B1;&#x202F;0.1919</td>
<td align="center" valign="top">0.2625&#x202F;&#x00B1;&#x202F;0.1299</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:400</td>
</tr>
<tr>
<td align="left" valign="top">Combination<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">2.29</td>
<td align="center" valign="top">0.7808&#x202F;&#x00B1;&#x202F;0.2699</td>
<td align="center" valign="top">0.3411&#x202F;&#x00B1;&#x202F;0.11261</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">LPS<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">1.49</td>
<td align="center" valign="top">0.7831&#x202F;&#x00B1;&#x202F;0.1261</td>
<td align="center" valign="top">0.5256&#x202F;&#x00B1;&#x202F;0.1038</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">ErfK<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">2.37</td>
<td align="center" valign="top">0.5397&#x202F;&#x00B1;&#x202F;0.5507</td>
<td align="center" valign="top">0.2274&#x202F;&#x00B1;&#x202F;0.1190</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">YxeI<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">2.33</td>
<td align="center" valign="top">0.5455&#x202F;&#x00B1;&#x202F;0.5574</td>
<td align="center" valign="top">0.2345&#x202F;&#x00B1;&#x202F;0.1138</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:200</td>
</tr>
<tr>
<td align="left" valign="top">EntF<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">2.50</td>
<td align="center" valign="top">0.4900&#x202F;&#x00B1;&#x202F;0.3905</td>
<td align="center" valign="top">0.1960&#x202F;&#x00B1;&#x202F;0.0977</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:400</td>
</tr>
<tr>
<td align="left" valign="top">Combination<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">2.59</td>
<td align="center" valign="top">0.5185&#x202F;&#x00B1;&#x202F;0.4194</td>
<td align="center" valign="top">0.1999&#x202F;&#x00B1;&#x202F;0.0977</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">1:400</td>
</tr>
<tr>
<td align="left" valign="top">LPS<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="center" valign="top">1.80</td>
<td align="center" valign="top">0.7046&#x202F;&#x00B1;&#x202F;0.2621</td>
<td align="center" valign="top">0.3911&#x202F;&#x00B1;&#x202F;0.1191</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">1:200</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><label>a</label><p>Bovine sera.</p>
</fn>
<fn id="tfn2"><label>b</label><p>Sheep sera.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.4</label>
<title>Comparison of tat substrate proteins in the serological detection of bovine and sheep brucellosis</title>
<p>Using brucellosis-positive and brucellosis-negative sera under the aforementioned optimal conditions, the efficiencies of individual Tat substrate proteins and their combination in serologically detecting bovine and sheep brucellosis were evaluated and compared.</p>
<p>For the detection of bovine brucellosis, according to the iELISA results, the average OD<sub>450</sub> values of 43 positive sera were 0.781, 0.686, 0.736, 0.503, and 0.783 for the combination and ErfK, YxeI, EntF, and lipopolysaccharides (LPS), while those of 113 negative sera were 0.341, 0.352, 0.318, 0.262, and 0.525, respectively (<xref ref-type="table" rid="tab3">Table 3</xref>). The dot plot demonstrated that the combination and individual Tat substrate proteins ErfK, YxeI, and EntF showed difference in distinguishing bovine brucellosis-positive and negative sera (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). The ROC curves were also obtained for these four antigens (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). For the detection of bovine brucellosis, the AUC values of the combination, ErfK, YxeI, EntF, and LPS were 0.9549 (95% CI, 0.9190 to 0.9908), 0.8927 (95% CI, 0.8301 to 0.9553), 0.9121 (95% CI, 0.8474 to 0.9768), 0.9164 (95% CI, 0.8591 to 0.9738), and 0.965 (95% CI, 0.9354 to 0.9946), respectively. The combination showed improved accuracy and was superior to individual Tat substrate proteins alone. Based on the Youden index, the optimal cutoff value for the combination was 0.462. At the optimal cutoff value, 41 out of 43 positive samples were accurately diagnosed, and 106 out of 113 negative samples were accurately diagnosed. The positive predictive value (PPV) was 85.42%, and the negative predictive value (NPV) was 98.15%, making the combination the best performing antigen in serological diagnosis of bovine brucellosis. Correspondingly, the combination showed the highest accuracy (94.23%) in the serological detection of bovine brucellosis, similar to LPS (94.87%). The accuracies of individual Tat substrate proteins ErfK, YxeI, and EntF were 91.02, 93.58, and 91.02%, respectively (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Predictive values for positive and negative sera calculated at different cutoff values.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Cutoff value</th>
<th align="center" valign="top" colspan="2">Positive</th>
<th align="center" valign="top" colspan="2">Negative</th>
<th align="center" valign="top" rowspan="2">PPV (%)</th>
<th align="center" valign="top" rowspan="2">NPV (%)</th>
<th align="center" valign="top" rowspan="2">Accuracy (%)</th>
</tr>
<tr>
<th align="center" valign="top">TP</th>
<th align="center" valign="top">FN</th>
<th align="center" valign="top">TN</th>
<th align="center" valign="top">FP</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">&#x2265;0.4057 (ErfK)<xref ref-type="table-fn" rid="tfn3"><sup>a</sup></xref></td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">105</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">82.22</td>
<td align="center" valign="middle">94.59</td>
<td align="center" valign="middle">91.02</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.4861 (YxeI)<xref ref-type="table-fn" rid="tfn3"><sup>a</sup></xref></td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">109</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">90.24</td>
<td align="center" valign="middle">94.78</td>
<td align="center" valign="middle">93.58</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.3426 (EntF)<xref ref-type="table-fn" rid="tfn3"><sup>a</sup></xref></td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">103</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">79.59</td>
<td align="center" valign="middle">96.26</td>
<td align="center" valign="middle">91.02</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.4620 (Combination)<xref ref-type="table-fn" rid="tfn3"><sup>a</sup></xref></td>
<td align="center" valign="middle">41</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">85.42</td>
<td align="center" valign="middle">98.15</td>
<td align="center" valign="middle">94.23</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.6368 (LPS)<xref ref-type="table-fn" rid="tfn3"><sup>a</sup></xref></td>
<td align="center" valign="middle">42</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">85.71</td>
<td align="center" valign="middle">99.07</td>
<td align="center" valign="middle">94.87</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.3447 (ErfK)<xref ref-type="table-fn" rid="tfn4"><sup>b</sup></xref></td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">79</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">64.68</td>
<td align="center" valign="middle">88.76</td>
<td align="center" valign="middle">81.75</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.3867 (YxeI)<xref ref-type="table-fn" rid="tfn4"><sup>b</sup></xref></td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">84</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">75.76</td>
<td align="center" valign="middle">90.32</td>
<td align="center" valign="middle">86.51</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.3694 (EntF)<xref ref-type="table-fn" rid="tfn4"><sup>b</sup></xref></td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">9</td>
<td align="center" valign="middle">82</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">71.43</td>
<td align="center" valign="middle">90.11</td>
<td align="center" valign="middle">84.92</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.3131 (Combination)<xref ref-type="table-fn" rid="tfn4"><sup>b</sup></xref></td>
<td align="center" valign="middle">29</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">82</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">74.36</td>
<td align="center" valign="middle">94.25</td>
<td align="center" valign="middle">88.10</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;0.5053 (LPS)<xref ref-type="table-fn" rid="tfn4"><sup>b</sup></xref></td>
<td align="center" valign="middle">31</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">86</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">83.78</td>
<td align="center" valign="middle">96.63</td>
<td align="center" valign="middle">92.86</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>TP, true positive; TN, true negative; FP, false positive; FN, false negative; PPV, positive value (TP/TP&#x202F;+&#x202F;FP)&#x202F;&#x00D7;&#x202F;100; NPV, negative predictive value (TN/TN&#x202F;+&#x202F;FN)&#x202F;&#x00D7;&#x202F;100; and Accuracy, (TP&#x202F;+&#x202F;TN)/(TP&#x202F;+&#x202F;FN&#x202F;+&#x202F;TN&#x202F;+&#x202F;FP)&#x202F;&#x00D7;&#x202F;100.</p>
<fn id="tfn3"><label>a</label><p>Bovine sera.</p>
</fn>
<fn id="tfn4"><label>b</label><p>Sheep sera.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Indirect ELISA analysis of bovine and sheep samples. Dot plots of <bold>(A)</bold> bovine and <bold>(B)</bold> sheep samples.</p>
</caption>
<graphic xlink:href="fvets-12-1398983-g004.tif"/>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>ROC analysis of rErfK, rYxeI, and rEntF in detecting bovine and sheep brucellosis. ROC analysis of <bold>(A)</bold> bovine brucellosis and <bold>(B)</bold> sheep brucellosis.</p>
</caption>
<graphic xlink:href="fvets-12-1398983-g005.tif"/>
</fig>
<p>For the detection of sheep brucellosis, the average OD<sub>450</sub> values of 34 positive sera were 0.518, 0.549, 0.545, 0.490, and 0.704 for the combination, ErfK, YxeI, EntF, and LPS, while those of 92 negative sera were 0.199, 0.227, 0.234, 0.195, and 0.391, respectively. The dot plot demonstrated that the combination and individual Tat substrate proteins ErfK, YxeI, and EntF showed diverse efficiency in distinguishing brucellosis-positive and brucellosis-negative sera (<xref ref-type="fig" rid="fig4">Figure 4B</xref>). The ROC curve analysis showed that the AUC values of the combination, ErfK, YxeI, EntF, and LPS were 0.8864 (95% CI, 0.7742 to 0.9585), 0.8008 (95% CI, 0.7088 to 0.8928), 0.8197 (95% CI, 0.7188 to 0.9205), 0.8378 (95% CI, 0.7588 to 0.9168), and 0.9019 (95% CI, 0.9081 to 0.9916), respectively. Based on the Youden index, the optimal cutoff value for the combination was 0.3131. The positive predictive value (PPV) was 74.36%, and the negative predictive value (NPV) was 94.25%, indicating the combination as the best performing antigen in serological diagnosis of sheep brucellosis. The accuracies of the combination, ErfK, YxeI, EntF, and LPS were 88.10, 81.75, 86.51, 84.92, and 92.86%, respectively (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
</sec>
<sec id="sec15">
<label>3.5</label>
<title>Cross-reactivity and repeatability with the tat substrate proteins</title>
<p>To verify whether Tat substrate proteins employed as diagnostic antigens possess cross-reactivity with other bacteria, we selected rabbit sera that were infected with other bacteria or immunized with zoonotic pathogens for a cross-reactivity test. The results showed that ErfK had cross-reactivity with <italic>Salmonella</italic> according to an S/N (OD<sub>450</sub>, sample/negative)&#x003E;2.1, and the combination, YxeI and EntF, showed no cross-reactivity to the rabbit sera immunized with <italic>Yersinia enterocolitica</italic> O9, <italic>Escherichia coli</italic> O157:H7, <italic>Mycobacterium tuberculosis</italic>, <italic>Vibrio cholerae</italic>, <italic>Legionella</italic>, and <italic>Salmonella</italic>, exhibiting relatively good specificity (<xref ref-type="table" rid="tab4">Table 4</xref>). Regarding the intra- and inter-assay precision, the coefficients of variation (CVs) of repeated tests within batches and between batches were confirmed to be less than 10% (<xref ref-type="table" rid="tab5">Table 5</xref>), suggesting the good stability of Tat-iELISA.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Specific cross-reactivity test results of the indirect ELISA.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Pathogens</th>
<th align="center" valign="top" colspan="2">ErfK</th>
<th align="center" valign="top" colspan="2">YxeI</th>
<th align="center" valign="top" colspan="2">EntF</th>
<th align="center" valign="top" colspan="2">Combination</th>
<th align="center" valign="top" colspan="2">LPS</th>
</tr>
<tr>
<th align="center" valign="top">OD<sub>450</sub></th>
<th align="center" valign="top">S/N</th>
<th align="center" valign="top">OD<sub>450</sub></th>
<th align="center" valign="top">S/N</th>
<th align="center" valign="top">OD<sub>450</sub></th>
<th align="center" valign="top">S/N</th>
<th align="center" valign="top">OD<sub>450</sub></th>
<th align="center" valign="top">S/N</th>
<th align="center" valign="top">OD<sub>450</sub></th>
<th align="center" valign="top">S/N</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>Yersinia enterocolitica O9</italic></td>
<td align="center" valign="middle">0.1040</td>
<td align="center" valign="middle">1.28</td>
<td align="center" valign="middle">0.0768</td>
<td align="center" valign="middle">0.78</td>
<td align="center" valign="middle">0.0692</td>
<td align="center" valign="middle">0.92</td>
<td align="center" valign="middle">0.0585</td>
<td align="center" valign="middle">0.67</td>
<td align="center" valign="middle">0.3212</td>
<td align="center" valign="middle">3.44</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Escherichia coli O157:H7</italic></td>
<td align="center" valign="middle">0.1076</td>
<td align="center" valign="middle">1.33</td>
<td align="center" valign="middle">0.0727</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">0.0702</td>
<td align="center" valign="middle">0.93</td>
<td align="center" valign="middle">0.0857</td>
<td align="center" valign="middle">0.99</td>
<td align="center" valign="middle">0.3004</td>
<td align="center" valign="middle">3.21</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Mycobacterium tuberculosis</italic></td>
<td align="center" valign="middle">0.1350</td>
<td align="center" valign="middle">1.66</td>
<td align="center" valign="middle">0.0826</td>
<td align="center" valign="middle">0.84</td>
<td align="center" valign="middle">0.0689</td>
<td align="center" valign="middle">0.91</td>
<td align="center" valign="middle">0.0423</td>
<td align="center" valign="middle">0.49</td>
<td align="center" valign="middle">0.1321</td>
<td align="center" valign="middle">1.41</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Vibrio cholerae</italic></td>
<td align="center" valign="middle">0.0789</td>
<td align="center" valign="middle">0.97</td>
<td align="center" valign="middle">0.0721</td>
<td align="center" valign="middle">0.74</td>
<td align="center" valign="middle">0.0656</td>
<td align="center" valign="middle">0.87</td>
<td align="center" valign="middle">0.1083</td>
<td align="center" valign="middle">1.24</td>
<td align="center" valign="middle">0.1956</td>
<td align="center" valign="middle">2.09</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Legionella</italic></td>
<td align="center" valign="middle">0.1044</td>
<td align="center" valign="middle">1.29</td>
<td align="center" valign="middle">0.1031</td>
<td align="center" valign="middle">1.05</td>
<td align="center" valign="middle">0.0787</td>
<td align="center" valign="middle">1.04</td>
<td align="center" valign="middle">0.0832</td>
<td align="center" valign="middle">0.96</td>
<td align="center" valign="middle">0.1845</td>
<td align="center" valign="middle">1.97</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Salmonella</italic></td>
<td align="center" valign="middle">0.2068</td>
<td align="center" valign="middle">2.55</td>
<td align="center" valign="middle">0.2038</td>
<td align="center" valign="middle">2.08</td>
<td align="center" valign="middle">0.1391</td>
<td align="center" valign="middle">1.85</td>
<td align="center" valign="middle">0.1639</td>
<td align="center" valign="middle">1.88</td>
<td align="center" valign="middle">0.1087</td>
<td align="center" valign="middle">1.16</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Negative</italic></td>
<td align="center" valign="middle">0.0812</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">0.0980</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">0.0754</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">0.0870</td>
<td align="center" valign="middle">-</td>
<td align="center" valign="middle">0.0935</td>
<td align="center" valign="middle">-</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Results of indirect ELISA reproducibility test.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Antigen</th>
<th align="center" valign="top" colspan="2">Intra-assay CV (%)</th>
<th align="center" valign="top" colspan="2">Inter-assay CV (%)</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">Positive serum</th>
<th align="center" valign="top">Negative serum</th>
<th align="center" valign="top">Positive serum</th>
<th align="center" valign="top">Negative serum</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ErfK<xref ref-type="table-fn" rid="tfn5"><sup>a</sup></xref></td>
<td align="center" valign="top">4.44</td>
<td align="center" valign="top">5.07</td>
<td align="center" valign="top">3.59</td>
<td align="center" valign="top">6.26</td>
</tr>
<tr>
<td align="left" valign="top">YxeI<xref ref-type="table-fn" rid="tfn5"><sup>a</sup></xref></td>
<td align="center" valign="top">6.53</td>
<td align="center" valign="top">7.36</td>
<td align="center" valign="top">2.87</td>
<td align="center" valign="top">4.96</td>
</tr>
<tr>
<td align="left" valign="top">EntF<xref ref-type="table-fn" rid="tfn5"><sup>a</sup></xref></td>
<td align="center" valign="top">6.04</td>
<td align="center" valign="top">8.65</td>
<td align="center" valign="top">3.33</td>
<td align="center" valign="top">7.85</td>
</tr>
<tr>
<td align="left" valign="top">Combination<xref ref-type="table-fn" rid="tfn5"><sup>a</sup></xref></td>
<td align="center" valign="top">5.52</td>
<td align="center" valign="top">8.50</td>
<td align="center" valign="top">4.24</td>
<td align="center" valign="top">6.77</td>
</tr>
<tr>
<td align="left" valign="top">LPS<xref ref-type="table-fn" rid="tfn5"><sup>a</sup></xref></td>
<td align="center" valign="top">6.41</td>
<td align="center" valign="top">7.48</td>
<td align="center" valign="top">5.29</td>
<td align="center" valign="top">6.92</td>
</tr>
<tr>
<td align="left" valign="top">ErfK<xref ref-type="table-fn" rid="tfn6"><sup>b</sup></xref></td>
<td align="center" valign="top">6.27</td>
<td align="center" valign="top">6.13</td>
<td align="center" valign="top">4.80</td>
<td align="center" valign="top">8.51</td>
</tr>
<tr>
<td align="left" valign="top">YxeI<xref ref-type="table-fn" rid="tfn6"><sup>b</sup></xref></td>
<td align="center" valign="top">5.99</td>
<td align="center" valign="top">6.28</td>
<td align="center" valign="top">3.78</td>
<td align="center" valign="top">6.59</td>
</tr>
<tr>
<td align="left" valign="top">EntF<xref ref-type="table-fn" rid="tfn6"><sup>b</sup></xref></td>
<td align="center" valign="top">4.79</td>
<td align="center" valign="top">8.37</td>
<td align="center" valign="top">5.27</td>
<td align="center" valign="top">7.44</td>
</tr>
<tr>
<td align="left" valign="top">Combination<xref ref-type="table-fn" rid="tfn6"><sup>b</sup></xref></td>
<td align="center" valign="top">6.50</td>
<td align="center" valign="top">7.89</td>
<td align="center" valign="top">5.86</td>
<td align="center" valign="top">8.03</td>
</tr>
<tr>
<td align="left" valign="top">LPS<xref ref-type="table-fn" rid="tfn6"><sup>b</sup></xref></td>
<td align="center" valign="top">4.56</td>
<td align="center" valign="top">5.41</td>
<td align="center" valign="top">5.74</td>
<td align="center" valign="top">9.21</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CV: coefficient of variation.</p>
<fn id="tfn5"><label>a</label><p>Bovine sera.</p>
</fn>
<fn id="tfn6"><label>b</label><p>Sheep sera.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>Brucellosis is a globally widespread zoonotic disease transmitted from domestic animals to humans, posing a significant threat to animal husbandry and public health (<xref ref-type="bibr" rid="ref23">23</xref>). In China, the primary <italic>Brucella</italic> species responsible for human infections are <italic>B. melitensis</italic>, <italic>B. abortus</italic>, <italic>B. suis</italic>, and <italic>B. canis</italic>, with <italic>B. melitensis</italic> and <italic>B. abortus</italic> accounting for 80&#x2013;90% of total brucellosis cases; infections from other species are relatively uncommon (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). It is essential to elucidate the occurrence and epidemic patterns of bovine and sheep brucellosis, as well as to accurately select detection methods to identify infected animals. While pathogen isolation and nucleic acid testing are important, serodiagnosis is prioritized in majority of the endemic areas due to its ease of implementation in limited clinical settings with minimal resources (<xref ref-type="bibr" rid="ref17">17</xref>). The majority of the available serological tests target anti-LPS antibodies, which exhibit extensive cross-reactivity with other Gram-negative organisms, leading to ambiguous diagnoses of animal brucellosis (<xref ref-type="bibr" rid="ref18">18</xref>). Research indicates that <italic>Brucella</italic> antigen proteins can effectively elicit both humoral and cellular immune responses, and serological detection methods based on these proteins demonstrate good specificity and sensitivity (<xref ref-type="bibr" rid="ref19">19</xref>&#x2013;<xref ref-type="bibr" rid="ref21">21</xref>). Consequently, there is an urgent need to develop new serological methods that utilize antigen proteins other than those currently in use for detecting brucellosis in cattle and sheep.</p>
<p>In our previous study, we identified that the Tat substrate proteins ErfK (A0577), YxeI (A1479), and EntF (B0249) of <italic>B. melitensis</italic> M28 significantly contribute to <italic>Brucella</italic> virulence; however, the diagnostic potential of these proteins in bovines and sheep has not been systematically explored. In this study, we successfully expressed recombinant ErfK, YxeI, and EntF using a prokaryotic expression system and verified their diagnostic values in serum samples obtained from infected bovines and sheep. The Western blot analysis revealed that all three proteins were recognized by serum from bovines and sheep positive for brucellosis, confirming their potential as antibody detection targets. The results obtained from indirect enzyme-linked immunosorbent assay (iELISA) indicated that the diagnostic performance of these antigenic proteins varied across different host sera. Notably, the diagnostic value was higher for bovine serum samples than those from sheep. The combined use of these proteins yielded stronger diagnostic effects than the individual proteins, achieving a positive predictive value (PPV) of 41/48 (85.42%) and a negative predictive value (NPV) of 106/108 (98.15%), resulting in an overall accuracy rate of 94.23% for the detection of bovine brucellosis. Among the individual proteins, YxeI demonstrated superior accuracy over ErfK and EntF. Furthermore, the combination of the three selected Tat substrate proteins exhibited no cross-reactions with <italic>Yersinia enterocolitica</italic> O9 and <italic>Escherichia coli</italic> O157:H7. In future studies, the combined protein group and YxeI may serve as candidates for diagnostic antigens or subunit vaccine development.</p>
<p>Overall, this study is the first to evaluate and analyze the effects of Tat substrate proteins in the clinical diagnosis of brucellosis, thereby providing a reference for future research in the areas of brucellosis diagnosis and vaccine development. To our knowledge, at least 23 proteins are known Tat substrates in <italic>B. melitensis</italic>, although this study evaluated only 3 of them. Future research will continue to assess the role of other Tat substrate proteins in diagnosis of brucellosis.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<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 authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>The animal study was approved by the Animal Care and Ethics Committee of China Animal Health and Epidemiology Center. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>YW: Data curation, Formal analysis, Methodology, Project administration, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XY: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MS: Data curation, Writing &#x2013; review &#x0026; editing. XG: Writing &#x2013; review &#x0026; editing. JL: Writing &#x2013; review &#x0026; editing. XS: Writing &#x2013; review &#x0026; editing. ML: Writing &#x2013; review &#x0026; editing. HZ: Writing &#x2013; review &#x0026; editing. WN: Writing &#x2013; review &#x0026; editing. WS: Writing &#x2013; review &#x0026; editing. FW: Writing &#x2013; review &#x0026; editing. XF: Conceptualization, Writing &#x2013; review &#x0026; editing. SS: Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by the National Key Research and Development Program of China (2021YFD1800402), Qingdao Science and Technology Benefiting the People Demonstration Project (23-2-8-xdny-14-nsh) and the Shandong Province Key Research and Development Program-Major scientific and technological innovation (2022CXGC020711). The funders played no roles in study design, data collection and interpretation, or submission for publication.</p>
</sec>
<sec sec-type="COI-statement" id="sec21">
<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="sec22">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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