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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1786944</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Exploring alternative cytokines as potential biomarkers for <italic>Mycobacterium bovis</italic> infection in cattle</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Franzoni</surname><given-names>Giulia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author">
<name><surname>Signorelli</surname><given-names>Federica</given-names></name>
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<name><surname>Carbotti</surname><given-names>Grazia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Donniacuo</surname><given-names>Anna</given-names></name>
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<contrib contrib-type="author">
<name><surname>Schiavo</surname><given-names>Lorena</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<name><surname>Zinellu</surname><given-names>Susanna</given-names></name>
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<contrib contrib-type="author">
<name><surname>Giaconi</surname><given-names>Emanuela</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cappuccio</surname><given-names>Pasqualino</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nitti</surname><given-names>Mauro</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name><surname>Paciello</surname><given-names>Orlando</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Iovane</surname><given-names>Giuseppe</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Napolitano</surname><given-names>Francesco</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Boniotti</surname><given-names>Maria Beatrice</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Martucciello</surname><given-names>Alessandra</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Animal Health, Istituto Zooprofilattico Sperimentale della Sardegna</institution>, <city>Sassari</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff2"><label>2</label><institution>Council for Agricultural Research and Economics (CREA) - Research Centre for Animal Production and Aquaculture</institution>, <city>Monterotondo</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff3"><label>3</label><institution>Diagnostic Section of Lecce, Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata</institution>, <city>Foggia</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff4"><label>4</label><institution>National Reference Centre for Hygiene and Technologies of Mediterranean Buffalo Farming and Productions, Istituto Zooprofilattico Sperimentale del Mezzogiorno</institution>, <city>Salerno</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff5"><label>5</label><institution>Azienda Sanitaria Locale Avellino</institution>, <city>Avellino</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff6"><label>6</label><institution>National Reference Centre for Bovine Tuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell&#x2019;Emilia Romagna</institution>, <city>Brescia</city>,&#xa0;<country country="it">Italy</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Giulia Franzoni, <email xlink:href="mailto:giulia.franzoni@izs-sardegna.it">giulia.franzoni@izs-sardegna.it</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1786944</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Franzoni, Signorelli, Carbotti, Donniacuo, Schiavo, Zinellu, Giaconi, Cappuccio, Nitti, Paciello, Iovane, Napolitano, Boniotti and Martucciello.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Franzoni, Signorelli, Carbotti, Donniacuo, Schiavo, Zinellu, Giaconi, Cappuccio, Nitti, Paciello, Iovane, Napolitano, Boniotti and Martucciello</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p><italic>Mycobacterium bovis</italic> (<italic>M. bovis</italic>) is the primary agent of Bovine tuberculosis (bTB) in cattle. It represents both a threat to human health and the cattle industry worldwide. Improving bTB diagnostic performance in cattle represents a key step in eradicating the disease. The interferon-gamma (IFN-&#x3b3;) release (IGRA) blood assay is routinely used in the diagnosis of <italic>M. bovis</italic> infection, but additional cytokines might be useful as biomarkers of this infection in cattle. In our study, we evaluated the utility of sixteen immune cytokines as diagnostic biomarkers of <italic>M. bovis</italic> infection. Fifty-five cattle were used in this study: healthy animals (N = 19), infected (IFN-&#x3b3; test positive, no post-mortem lesions; N = 17), and affected (IFN-&#x3b3; test positive, visible post-mortem lesions; N = 19). Heparin blood samples were stimulated <italic>in vitro</italic> with bovine purified protein derivative (PPD-B), alongside controls. After 18&#x2013;24 h of incubation, plasma were collected and levels of 16 key cytokines were measured: IL-1&#x3b1;, IL-4, IL-6, IL-10, IL-17, IL-36Ra, MIP-1&#x3b1;, IP-10, MCP-1, TNF, VEGF-A, IFN-&#x3b3;, IL-23, IL-27, IL-35, and THBS-1. We observed that both <italic>M. bovis</italic> exposed cattle (both infected and affected) released higher levels of PPD-B specific IFN-&#x3b3; and IP-10. On the contrary, only cattle belonging to the affected group released higher levels of PPD-B specific IL-4, IL-17, and TNF compared to healthy subjects. Canonical discriminant analyses (CDA) indicated that IP-10, IL-4, IL-17, and TNF could be useful biomarkers for infection status. In particular, our data suggest that the parallel measurement of IFN-&#x3b3; and IP-10 might improve the diagnosis of <italic>M. bovis</italic> infection in cattle in terms of sensitivity and specificity, although this should be validated on a larger set of animals. In the CDA analysis, only a modest separation between infected and affected cattle was observed. Nevertheless, our data suggested that IL-4, IL-10, and TNF might improve, at least in part, the differentiation of cattle in diverse stages of TB infection. Overall, the data generated in our study provide a foundation to improve the diagnosis and staging of <italic>M. bovis</italic> in cattle.</p>
</abstract>
<kwd-group>
<kwd>biomarkers</kwd>
<kwd>chemokines</kwd>
<kwd>cytokines</kwd>
<kwd>IFN-&#x3b3;</kwd>
<kwd><italic>Mycobacterium bovis</italic></kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was funded by the Italian Ministry for Health (grant numbers Research Project IZS ME 14/2022 RC and RC IZS LER 02/23 RC).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="53"/>
<page-count count="13"/>
<word-count count="6062"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cytokines and Soluble Mediators in Immunity</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p><italic>Mycobacterium bovis</italic> (<italic>M. bovis</italic>) is the primary agent of Bovine tuberculosis (bTB), a zoonotic disease affecting cattle and wild animals. It represents not only a threat to human health, but it also negatively affects the global cattle industry due to the negative impact on animal production and detrimental effects on animal health (<xref ref-type="bibr" rid="B1">1</xref>). This chronic disease is distinguished by the progressive development of the characteristic granulomas, mainly in the lungs and lymph nodes, which limits the spread of mycobacteria into the host (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The disease can disseminate within a herd before the development of obvious clinical symptoms or can stay latent for years and spread only when the animal is immunocompromised due to additional stresses or old age (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Control of bTB relies on early diagnosis, removal of infected animals, and tracing and containment of contact cases. Identification of infected animals is carried out with slaughterhouse surveillance (to identify animals with characteristic TB-lesions) or through ante-mortem assays, such as the intradermal tuberculin test (IDT) and the interferon-gamma (IFN-&#x3b3;) release (IGRA) blood assay (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>IDT measures dermal swelling primarily due to cell-mediated immune response (CMI) 72 h after intradermal injection of purified protein derivative (PPD) in the skin of tested animals (Shiller et&#xa0;al., 2010). The IGRA assay is instead a laboratory-based test which measures release of IFN-&#x3b3; from whole blood (predominantly T lymphocytes) stimulated for 18&#x2013;24 h with PPDs (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Nevertheless, both tests present some disadvantages: they are unable to differentiate <italic>M. bovis</italic> infection from bTB disease and are incapable of identifying infected animals in the first stage of infection (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Therefore, several efforts have been made to improve bTB diagnosis and understanding (<xref ref-type="bibr" rid="B6">6</xref>) and one of the main areas of bTB research is the discovery of new biomarkers able to early detect <italic>M. bovis</italic> infected animals.</p>
<p>Cytokines are small proteins that play a crucial role in orchestrating immune responses. They have been widely studied as biomarkers for several diseases, including tuberculosis (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Their quantification in biological fluids, such as blood, is also characterized by lack of invasiveness and relatively low cost (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>An early and accurate diagnosis of subclinical infection can indeed improve bTB control strategies (<xref ref-type="bibr" rid="B7">7</xref>). Another important achievement would be the identification of biomarkers able to differentiate early infection from a late stage of the disease (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). In this way, the available resources can be focused toward removing animals that pose transmission risks to preserve those with higher economic, and/or genetic value (<xref ref-type="bibr" rid="B7">7</xref>). Previous studies reported that bTB infection in cattle could be enhanced by a combination of IFN-&#x3b3; and the related chemokine IFN-&#x3b3;-induced protein 10 (IP-10) (<xref ref-type="bibr" rid="B7">7</xref>). Other cytokines are involved in immune response against this pathogen, and their potential use as biomarkers of <italic>M. bovis</italic> requires further investigation (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>In our work, we evaluated the ability of 16 key immune cytokines to identify <italic>M. bovis</italic> infected cattle. In addition, we investigated whether these cytokines were able to differentiate infected animals presenting or not TB-like lesions at post-mortem examinations, thereby exploring their value not only for diagnosis but also for the immunological staging of bTB.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Ethical statements</title>
<p>Cattle used in this research were monitored within the context of the official TB eradication program, carried on in accordance with the Italian and European legislation (Regulation (EU) 2016/429, Regulation (EU) 2020/689, O.M. 28/05/2015 and subsequent amendments, DGRC 104/2022 and subsequent amendments) (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). No animal was harmed or killed for the specific purpose of this study, in compliance with the European Directive 210/63/UE and the Italian regulation D Lgs n&#xb0; 26/2014.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Animals and Study Design</title>
<p>Fifty-five cattle were tested in this study.</p>
<p>Uninfected cattle were selected from Officially Tuberculosis-Free (OTF) herds in the Campania region (Italy). All the animals of this group had tested negative to the SIT or IFN-&#x3b3; screening carried out over the last 6 years.</p>
<p><italic>M. bovis</italic> infected and affected cattle belonged to herds with confirmed TB outbreaks. TB infection status was determined by ante-mortem tests: the single intradermal tuberculin test (SIT) and the IFN-&#x3b3; test (see 2.3). Animals that tested positive were slaughtered in accordance with the current legislation, and then the presence of TB-like lesions was evaluated. The organs were sent to the laboratory of the IZS of Mezzogiorno to detect the presence of <italic>M. bovis DNA</italic> (See 2.4).</p>
<p>Animals were divided into three groups based on ante-mortem (SIT, IFN-&#x3b3; test) and post-mortem (presence of TB-lesion and <italic>M. bovis</italic> DNA) tests: healthy (animals from OTF herds, IFN-&#x3b3; test negative; N = 19), infected (IFN-&#x3b3; test positive, no TB-like lesions at post-mortem examination, PCR negative; N = 17), and affected (IFN-&#x3b3; test positive, visible TB-like lesions, PCR positive; N = 19), as previously described (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Whole blood stimulation and IFN-&#x3b3; test</title>
<p>Blood samples were collected from the jugular vein using heparin as anticoagulant (lithium-heparin vacutainer tubes, BD Biosciences) and delivered to the laboratory of the IZS of Mezzogiorno (Portici) within 8 h from sampling.</p>
<p>For each animal, whole blood samples were dispensed in aliquots (1 ml) using 48 well plates. Samples were stimulated with 10 &#x3bc;g of PPD-B (BOVIGAM&#x2122; Thermo-Fisher Scientific, Schlieren, Switzerland). Phosphate-buffered saline (PBS) was used as Nil Control Antigen, whereas Pokeweed Mitogen (PWM, final concentration 1 &#x3bc;g/ml) was used as a control of lymphocyte reactivity. An additional aliquot was stimulated with 10 &#x3bc;g of avian PPD (PPD-A) (Thermo-Fisher Scientific). After an incubation step of 18&#x2013;24 h at 37 &#xb0;C, plasmas were collected to determine the amount of IFN-&#x3b3; (within the context of the TB control program) and other key immune cytokines (see 2.5).</p>
<p>Levels of IFN-&#x3b3; were quantified using the BOVIGAM&#x2122; sandwich ELISA test, following manufacturer&#x2019;s instructions (Life Technologies, Thermo-Fisher Scientific). The absorbance of each well was read with a microplate reader (iMark&#x2122; BIORAD) using a 450 nm filter. Samples were regarded as positive for <italic>M. bovis</italic> when the differences between PPD-B - PBS and PPD-B &#x2013; PPD-A were &#x2265; 0.1 OD, following the European Standard Operating Procedures (SOP/004/EURL) of the European Union Reference Laboratory for Bovine Tuberculosis (EURL-TB).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Post-mortem diagnostic tests</title>
<p>Animals tested positive to SIT or IFN-&#x3b3; tests were slaughtered in compliance with the official TB eradication program. Post-mortem examinations were carried out to detect the presence of typical TB lesions: several tissue samples were collected and sent to the laboratory of the IZS del Mezzogiorno (Portici), as previously described (<xref ref-type="bibr" rid="B15">15</xref>). In these samples, PCR was also carried out to detect <italic>Mycobacterium tuberculosis complex</italic> (MTBC) DNA, following the WOAH Terrestrial Manual protocols (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>) (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Measurement of cytokine levels in plasma after stimulations</title>
<p>Values of key immune cytokines in plasma of PBS, PPD-B, and PWM samples were evaluated using ELISAs. Twelve cytokines were determined using multiplex ELISA (IL-1&#x3b1;, IL-4, IL-6, IL-10, IL-17, IL-36Ra, MIP-1&#x3b1;, IP-10, MCP-1, TNF, VEGF-A, IFN-&#x3b3;), using the Bovine Cytokine/Chemokine Magnetic Bead Panel Multiplex assay (Merck Millipore, Darmstadt, Germany) and a Bioplex MAGPIX Multiplex Reader (Bio-Rad, Hercules, CA, USA), as previously described (<xref ref-type="bibr" rid="B14">14</xref>). Four cytokines (IL-23, IL-27, IL-35, THBS-1) were measured using singleplex ELISA, following manufacturer&#x2019;s instruction: Bovine Interleukin 23 ELISA Kit, Bovine Interleukin 27 ELISA Kit, Bovine Interleukin 35 ELISA Kit (all Mybiosource, San Diego, CA, USA), and ELISA Kit for Thrombospondin 1 (THBS-1) (Cloud-Clone Corp, Katy, TX, USA). For all the cytokines under study, samples were investigated in duplicate (two technical replicates).</p>
<p>The levels of <italic>M. bovis</italic> specific cytokine responses were determined by subtracting baseline values (PBS, nil control) from those measured in the PPD-B stimulated antigen condition.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Before ANOVA procedures, the normality of the traits was checked by computing skewness and kurtosis using PROC UNIVARIATE.</p>
<p>Levels of the 16 tested cytokines were analyzed using the general linear model (GLM) to estimate the mean response for each stimulus (PBS, PPD-B, and PWM) within the three animal groups (healthy, infected, and affected):</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>Y</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mi>&#x3bc;</mml:mi><mml:mo>+</mml:mo><mml:mi>G</mml:mi><mml:mi>j</mml:mi><mml:mo>+</mml:mo><mml:mi>e</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:math>
</disp-formula>
<p>where Yjk is the trait measured for each animal, &#x3bc; is the overall mean, Gj is the fixed effect of the stimuli (j = 3 levels: PBS, PPD-B, and PWM), and ejk is the random residual effect of each observation.</p>
<p>The statistical significances of all traits and least-square means were assessed by Dunnett&#x2019;s multiple test in the GLM procedure.</p>
<p>Additionally, the difference (&#x394;_cytokine) between the level of each specific cytokine measured in the <italic>M. bovis</italic> antigen condition (PPD-B) and its baseline concentration (PBS) was analyzed by Tukey multiple comparison test and displayed by GraphPad Prism 10.01 (GraphPad Software Inc., La Jolla, CA, United States). The significance level for both statistical analyses was set at a p-value&lt; 0.05.</p>
<p>Pearson correlation test was also performed on each &#x394;_cytokine.</p>
<p>A multivariate approach was conducted using canonical discriminant analysis (CDA) on all the tested 16 &#x394;_cytokines and on the 5 (IFN-&#x3b3;, IL-4, IL-17, IP-10, and TNF) that showed significant differences among the three groups by the CANDISC Procedure.</p>
<p>The CDAs were conducted by categorizing animals into healthy, infected, and affected groups.</p>
<p>All statistical analyses were performed with SAS software version 9.4.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Whole blood samples from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle were stimulated with a specific <italic>M. bovis</italic> antigen (PPD-B), alongside the nil control antigen (PBS) and a control of lymphocyte reactivity (PWM). After 18&#x2013;24 h, the release of 16 key immune cytokines was determined through singleplex and multiplex ELISA.</p>
<p>Statistically significantly higher levels of IFN-&#x3b3;, IL-1&#x3b1;, IL-4, IL-10, IL-17, and IP-10 were detected in PWM-stimulated samples compared to PBS-samples (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). This indicated that leukocyte reactivity was not altered by inadequate preservation of the sample or immunosuppression of the cattle due to other pathological events or treatments (e.g., corticosteroids).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Production of cytokines in whole blood from healthy and <italic>Mycobacteriumm bovis</italic> infected and affected cattle.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">PBS</th>
<th valign="middle" align="center">PPD-B</th>
<th valign="middle" align="center">PWM</th>
<th valign="middle" align="center">PBS-PPD-B</th>
<th valign="middle" align="center">PBS-PWM</th>
</tr>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">LSM &#xb1; SE</th>
<th valign="middle" align="center">LSM &#xb1; SE</th>
<th valign="middle" align="center">LSM &#xb1; SE</th>
<th valign="middle" align="center">p-value</th>
<th valign="middle" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="center">Healthy</th>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Cytokines</th>
</tr>
<tr>
<td valign="middle" align="left">IFN-&#x3b3;</td>
<td valign="middle" align="center">2 &#xb1; 129</td>
<td valign="middle" align="center">7 &#xb1; 129</td>
<td valign="middle" align="center">970 &#xb1; 129</td>
<td valign="middle" align="center">0.9995</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-1&#x3b1;</td>
<td valign="middle" align="center">57 &#xb1; 24</td>
<td valign="middle" align="center">86 &#xb1; 24</td>
<td valign="middle" align="center">180 &#xb1; 24</td>
<td valign="middle" align="center">0.6011</td>
<td valign="middle" align="center"><bold>0.0011</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-4</td>
<td valign="middle" align="center">101 &#xb1; 81</td>
<td valign="middle" align="center">104 &#xb1; 81</td>
<td valign="middle" align="center">991 &#xb1; 81</td>
<td valign="middle" align="center">0.9993</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-6</td>
<td valign="middle" align="center">650 &#xb1; 194</td>
<td valign="middle" align="center">2383 &#xb1; 194</td>
<td valign="middle" align="center">704 &#xb1; 194</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
<td valign="middle" align="center">0.9719</td>
</tr>
<tr>
<td valign="middle" align="left">IL-10</td>
<td valign="middle" align="center">247 &#xb1; 78</td>
<td valign="middle" align="center">351 &#xb1; 78</td>
<td valign="middle" align="center">1210 &#xb1; 78</td>
<td valign="middle" align="center">0.5466</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-17</td>
<td valign="middle" align="center">2 &#xb1; 30</td>
<td valign="middle" align="center">5 &#xb1; 30</td>
<td valign="middle" align="center">266 &#xb1; 30</td>
<td valign="middle" align="center">0.9954</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MIP-1&#x3b1;</td>
<td valign="middle" align="center">2925 &#xb1; 271</td>
<td valign="middle" align="center">4246 &#xb1; 271</td>
<td valign="middle" align="center">4979 &#xb1; 271</td>
<td valign="middle" align="center"><bold>0.0022</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-36Ra</td>
<td valign="middle" align="center">307 &#xb1; 37</td>
<td valign="middle" align="center">318 &#xb1; 37</td>
<td valign="middle" align="center">310 &#xb1; 37</td>
<td valign="middle" align="center">0.9664</td>
<td valign="middle" align="center">0.9971</td>
</tr>
<tr>
<td valign="middle" align="left">IP-10</td>
<td valign="middle" align="center">1446 &#xb1; 228</td>
<td valign="middle" align="center">1673 &#xb1; 228</td>
<td valign="middle" align="center">4022 &#xb1; 228</td>
<td valign="middle" align="center">0.7056</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MCP-1</td>
<td valign="middle" align="center">5425 &#xb1; 295</td>
<td valign="middle" align="center">5431 &#xb1; 295</td>
<td valign="middle" align="center">5316 &#xb1; 295</td>
<td valign="middle" align="center">1.0000</td>
<td valign="middle" align="center">0.9514</td>
</tr>
<tr>
<td valign="middle" align="left">TNF</td>
<td valign="middle" align="center">2513 &#xb1; 1217</td>
<td valign="middle" align="center">3273 &#xb1; 1217</td>
<td valign="middle" align="center">6035 &#xb1; 1217</td>
<td valign="middle" align="center">0.8686</td>
<td valign="middle" align="center">0.0826</td>
</tr>
<tr>
<td valign="middle" align="left">VEGF-A</td>
<td valign="middle" align="center">229 &#xb1; 20</td>
<td valign="middle" align="center">192 &#xb1; 20</td>
<td valign="middle" align="center">176 &#xb1; 20</td>
<td valign="middle" align="center">0.3151</td>
<td valign="middle" align="center">0.1122</td>
</tr>
<tr>
<td valign="middle" align="left">IL-23</td>
<td valign="middle" align="center">208 &#xb1; 28</td>
<td valign="middle" align="center">211 &#xb1; 28</td>
<td valign="middle" align="center">225 &#xb1; 28</td>
<td valign="middle" align="center">0.9978</td>
<td valign="middle" align="center">0.8973</td>
</tr>
<tr>
<td valign="middle" align="left">IL-27</td>
<td valign="middle" align="center">118 &#xb1; 35</td>
<td valign="middle" align="center">91 &#xb1; 35</td>
<td valign="middle" align="center">93 &#xb1; 33</td>
<td valign="middle" align="center">0.8033</td>
<td valign="middle" align="center">0.8303</td>
</tr>
<tr>
<td valign="middle" align="left">IL-35</td>
<td valign="middle" align="center">277 &#xb1; 27</td>
<td valign="middle" align="center">270 &#xb1; 27</td>
<td valign="middle" align="center">285 &#xb1; 27</td>
<td valign="middle" align="center">0.9774</td>
<td valign="middle" align="center">0.9705</td>
</tr>
<tr>
<td valign="middle" align="left">THBS1</td>
<td valign="middle" align="center">2236 &#xb1; 1645</td>
<td valign="middle" align="center">2478 &#xb1; 1645</td>
<td valign="middle" align="center">2661 &#xb1; 1865</td>
<td valign="middle" align="center">0.9923</td>
<td valign="middle" align="center">0.9792</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="center">Infected</th>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Cytokines</th>
</tr>
<tr>
<td valign="middle" align="left">IFN-&#x3b3;</td>
<td valign="middle" align="center">5 &#xb1; 84</td>
<td valign="middle" align="center">413 &#xb1; 84</td>
<td valign="middle" align="center">944 &#xb1; 84</td>
<td valign="middle" align="center"><bold>0.0024</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-1&#x3b1;</td>
<td valign="middle" align="center">44 &#xb1; 28</td>
<td valign="middle" align="center">146 &#xb1; 28</td>
<td valign="middle" align="center">193 &#xb1; 28</td>
<td valign="middle" align="center"><bold>0.0241</bold></td>
<td valign="middle" align="center"><bold>0.0008</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-4</td>
<td valign="middle" align="center">69 &#xb1; 46</td>
<td valign="middle" align="center">75 &#xb1; 46</td>
<td valign="middle" align="center">262 &#xb1; 46</td>
<td valign="middle" align="center">0.9929</td>
<td valign="middle" align="center"><bold>0.0084</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-6</td>
<td valign="middle" align="center">1337 &#xb1; 309</td>
<td valign="middle" align="center">3545 &#xb1; 309</td>
<td valign="middle" align="center">1013 &#xb1; 309</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
<td valign="middle" align="center">0.6801</td>
</tr>
<tr>
<td valign="middle" align="left">IL-10</td>
<td valign="middle" align="center">210 &#xb1; 121</td>
<td valign="middle" align="center">373 &#xb1; 121</td>
<td valign="middle" align="center">1024 &#xb1; 121</td>
<td valign="middle" align="center">0.5361</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-17</td>
<td valign="middle" align="center">2 &#xb1; 39</td>
<td valign="middle" align="center">13 &#xb1; 39</td>
<td valign="middle" align="center">357 &#xb1; 39</td>
<td valign="middle" align="center">0.9687</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MIP-1&#x3b1;</td>
<td valign="middle" align="center">2612 &#xb1; 745</td>
<td valign="middle" align="center">4848 &#xb1; 745</td>
<td valign="middle" align="center">5594 &#xb1; 745</td>
<td valign="middle" align="center">0.0709</td>
<td valign="middle" align="center"><bold>0.0128</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-36Ra</td>
<td valign="middle" align="center">459 &#xb1; 68</td>
<td valign="middle" align="center">461 &#xb1; 68</td>
<td valign="middle" align="center">484 &#xb1; 68</td>
<td valign="middle" align="center">0.9996</td>
<td valign="middle" align="center">0.9515</td>
</tr>
<tr>
<td valign="middle" align="left">IP-10</td>
<td valign="middle" align="center">1708 &#xb1; 289</td>
<td valign="middle" align="center">3121 &#xb1; 289</td>
<td valign="middle" align="center">3399 &#xb1; 289</td>
<td valign="middle" align="center"><bold>0.0024</bold></td>
<td valign="middle" align="center"><bold>0.0003</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MCP-1</td>
<td valign="middle" align="center">5489 &#xb1; 559</td>
<td valign="middle" align="center">5589 &#xb1; 559</td>
<td valign="middle" align="center">5546 &#xb1; 559</td>
<td valign="middle" align="center">0.9882</td>
<td valign="middle" align="center">0.9961</td>
</tr>
<tr>
<td valign="middle" align="left">TNF</td>
<td valign="middle" align="center">1738 &#xb1; 492</td>
<td valign="middle" align="center">3109 &#xb1; 492</td>
<td valign="middle" align="center">4759 &#xb1; 492</td>
<td valign="middle" align="center">0.0978</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">VEGF-A</td>
<td valign="middle" align="center">231 &#xb1; 21</td>
<td valign="middle" align="center">142 &#xb1; 21</td>
<td valign="middle" align="center">169 &#xb1; 21</td>
<td valign="middle" align="center"><bold>0.0101</bold></td>
<td valign="middle" align="center">0.084</td>
</tr>
<tr>
<td valign="middle" align="left">IL-23</td>
<td valign="middle" align="center">250 &#xb1; 19</td>
<td valign="middle" align="center">230 &#xb1; 19</td>
<td valign="middle" align="center">227 &#xb1; 19</td>
<td valign="middle" align="center">0.6775</td>
<td valign="middle" align="center">0.608</td>
</tr>
<tr>
<td valign="middle" align="left">IL-27</td>
<td valign="middle" align="center">75 &#xb1; 37</td>
<td valign="middle" align="center">78 &#xb1; 37</td>
<td valign="middle" align="center">73 &#xb1; 37</td>
<td valign="middle" align="center">0.9965</td>
<td valign="middle" align="center">0.9993</td>
</tr>
<tr>
<td valign="middle" align="left">IL-35</td>
<td valign="middle" align="center">326 &#xb1; 44</td>
<td valign="middle" align="center">347 &#xb1; 44</td>
<td valign="middle" align="center">332 &#xb1; 44</td>
<td valign="middle" align="center">0.9256</td>
<td valign="middle" align="center">0.9935</td>
</tr>
<tr>
<td valign="middle" align="left">THBS1</td>
<td valign="middle" align="center">863 &#xb1; 258</td>
<td valign="middle" align="center">729 &#xb1; 250</td>
<td valign="middle" align="center">726 &#xb1; 250</td>
<td valign="middle" align="center">0.9031</td>
<td valign="middle" align="center">0.8995</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="center">Affected</th>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Cytokines</th>
</tr>
<tr>
<td valign="middle" align="left">IFN-&#x3b3;</td>
<td valign="middle" align="center">7 &#xb1; 170</td>
<td valign="middle" align="center">825 &#xb1; 170</td>
<td valign="middle" align="center">1298 &#xb1; 170</td>
<td valign="middle" align="center"><bold>0.0025</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-1&#x3b1;</td>
<td valign="middle" align="center">31 &#xb1; 23</td>
<td valign="middle" align="center">124 &#xb1; 23</td>
<td valign="middle" align="center">207 &#xb1; 23</td>
<td valign="middle" align="center"><bold>0.0141</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-4</td>
<td valign="middle" align="center">95 &#xb1; 46</td>
<td valign="middle" align="center">109 &#xb1; 46</td>
<td valign="middle" align="center">400 &#xb1; 46</td>
<td valign="middle" align="center">0.9662</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-6</td>
<td valign="middle" align="center">885 &#xb1; 414</td>
<td valign="middle" align="center">3500 &#xb1; 414</td>
<td valign="middle" align="center">675 &#xb1; 414</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
<td valign="middle" align="center">0.9106</td>
</tr>
<tr>
<td valign="middle" align="left">IL-10</td>
<td valign="middle" align="center">124 &#xb1; 73</td>
<td valign="middle" align="center">266 &#xb1; 73</td>
<td valign="middle" align="center">847 &#xb1; 73</td>
<td valign="middle" align="center">0.2881</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IL-17</td>
<td valign="middle" align="center">2 &#xb1; 93</td>
<td valign="middle" align="center">30 &#xb1; 93</td>
<td valign="middle" align="center">520 &#xb1; 93</td>
<td valign="middle" align="center">0.9671</td>
<td valign="middle" align="center"><bold>0.0005</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MIP-1&#x3b1;</td>
<td valign="middle" align="center">3223 &#xb1; 389</td>
<td valign="middle" align="center">4927 &#xb1; 389</td>
<td valign="middle" align="center">4276 &#xb1; 389</td>
<td valign="middle" align="center"><bold>0.0061</bold></td>
<td valign="middle" align="center">0.1094</td>
</tr>
<tr>
<td valign="middle" align="left">IL-36Ra</td>
<td valign="middle" align="center">331&#xb1; 30</td>
<td valign="middle" align="center">323&#xb1; 30</td>
<td valign="middle" align="center">349&#xb1; 30</td>
<td valign="middle" align="center">0.9776</td>
<td valign="middle" align="center">0.883</td>
</tr>
<tr>
<td valign="middle" align="left">IP-10</td>
<td valign="middle" align="center">1612 &#xb1; 185</td>
<td valign="middle" align="center">3179 &#xb1; 185</td>
<td valign="middle" align="center">3093 &#xb1; 185</td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">MCP-1</td>
<td valign="middle" align="center">5953 &#xb1; 328</td>
<td valign="middle" align="center">6076 &#xb1; 328</td>
<td valign="middle" align="center">5758 &#xb1; 328</td>
<td valign="middle" align="center">0.9497</td>
<td valign="middle" align="center">0.8797</td>
</tr>
<tr>
<td valign="middle" align="left">TNF</td>
<td valign="middle" align="center">978 &#xb1; 414</td>
<td valign="middle" align="center">3332 &#xb1; 414</td>
<td valign="middle" align="center">4667 &#xb1; 414</td>
<td valign="middle" align="center"><bold>0.0004</bold></td>
<td valign="middle" align="center"><bold>0.0001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">VEGF-A</td>
<td valign="middle" align="center">218 &#xb1; 19</td>
<td valign="middle" align="center">150 &#xb1; 19</td>
<td valign="middle" align="center">198 &#xb1; 19</td>
<td valign="middle" align="center"><bold>0.0246</bold></td>
<td valign="middle" align="center">0.6611</td>
</tr>
<tr>
<td valign="middle" align="left">IL-23</td>
<td valign="middle" align="center">222 &#xb1; 20</td>
<td valign="middle" align="center">223 &#xb1; 20</td>
<td valign="middle" align="center">228 &#xb1; 20</td>
<td valign="middle" align="center">0.9994</td>
<td valign="middle" align="center">0.9722</td>
</tr>
<tr>
<td valign="middle" align="left">IL-27</td>
<td valign="middle" align="center">110 &#xb1; 43</td>
<td valign="middle" align="center">111 &#xb1; 43</td>
<td valign="middle" align="center">113 &#xb1; 43</td>
<td valign="middle" align="center">0.9999</td>
<td valign="middle" align="center">0.9991</td>
</tr>
<tr>
<td valign="middle" align="left">IL-35</td>
<td valign="middle" align="center">369 &#xb1; 41</td>
<td valign="middle" align="center">379 &#xb1; 41</td>
<td valign="middle" align="center">377 &#xb1; 41</td>
<td valign="middle" align="center">0.9797</td>
<td valign="middle" align="center">0.9871</td>
</tr>
<tr>
<td valign="middle" align="left">THBS1</td>
<td valign="middle" align="center">683 &#xb1; 253</td>
<td valign="middle" align="center">593 &#xb1; 247</td>
<td valign="middle" align="center">726 &#xb1; 247</td>
<td valign="middle" align="center">0.9534</td>
<td valign="middle" align="center">0.9891</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P value&lt; 0.05 were considered statistically significant and are marked in bold.</p></fn>
<fn>
<p>Whole blood was stimulated with PBS (nil control) or <italic>M. bovis</italic> antigen (PPD-B) or PWM (control of lymphocyte reactivity). Levels of sixteen cytokines were determined through multiplex and singleplex ELISA. LSM (Least Squares Mean) and SE (Standard Estimated Error) values and statistical differences between conditions (p-value) are presented.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Differences between PPD-B-stimulated samples and PBS-samples were also identified. In all groups, higher levels of IL-6 and MIP-1&#x3b1;, were observed in the PPD-B compared to the PBS conditions were observed for IL-6 and MIP-1&#x3b1;, suggesting an inflammatory response to the PPD-B antigen, regardless of previous animals&#x2019; exposure to <italic>M. bovis</italic> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). On the contrary, the infected and affected groups, but not healthy animals, presented statistically significantly higher levels of IFN-&#x3b3;, IL-1&#x3b1;, and IP-10 in the PPD-B condition compared to the baseline control (PBS) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Moreover, the infected and affected groups, but not healthy animals, presented lower levels of VEGF-A in the PPD-B condition compared to PBS, with statistical significance (p&lt; 0.05). In the affected group only, we observed a higher release of TNF in response to stimulation with PPD-B compared to the PBS control, with statistical significance (p = 0.0004).</p>
<p>Then, <italic>M. bovis</italic> specific cytokine responses were analyzed. For each cytokine, the differences between the levels in the PPD-B and PBS conditions were quantified. These response differences were then compared among the three groups (healthy, infected, and affected).</p>
<p>T-cell cytokines were first analysed: IFN-&#x3b3; (hallmark of Th1 response), IL-4 (hallmark of Th2 response), and IL-17 (mainly released by Th17). Affected and infected animals released higher levels of <italic>M. bovis</italic>-specific IFN-&#x3b3; (818 &#xb1; 99; 409 &#xb1; 105, respectively) compared to healthy cattle (5 &#xb1; 99) with p &lt; 0.0001 and p&lt; 0.0195, respectively (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). In addition, differences in <italic>M. bovis</italic>-specific IFN-&#x3b3; levels were observed between the affected and infected groups (p = 0.0178) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Affected animals, but not infected cattle, released higher levels of <italic>M. bovis</italic> specific IL-4 and IL-17 compared to healthy cattle, with p &lt; 0.0007 and p&lt; 0.0003, respectively (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). In addition, affected animals released higher levels of <italic>M. bovis</italic> specific IL-4 and IL-17 compared to infected subjects, with p &lt; 0.0195 and p&lt; 0.0236, respectively (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Release of <italic>M. bovis</italic> specific T-cell cytokines (IFN-&#x3b3;, IL-4, IL-17) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of IFN-&#x3b3;, IL-4, and IL-17 were quantified through multiplex ELISA. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokine levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1786944-g001.tif">
<alt-text content-type="machine-generated">Three scatter plots comparing cytokine levels (IFN-&#x3b3;, IL-17, IL-4) among Healthy, Infected, and Affected groups, with each plot showing significant p-values for differences between groups, measured in picograms per milliliter.</alt-text>
</graphic></fig>
<p>Release of <italic>M. bovis</italic> specific pro-inflammatory cytokines (IL-1&#x3b1;, IL-6, TNF) in healthy, infected, and affected cattle was then analysed. No significant differences were observed among groups for IL&#x2212;1&#x3b1; or IL&#x2212;6. In contrast, affected cattle showed higher levels of <italic>M. bovis</italic> specific TNF compared with healthy animals (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Release of <italic>M. bovis</italic> specific pro-inflammatory cytokines (IL-1&#x3b1;, IL-6, TNF) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of IL-1&#x3b1;, IL-6, and TNF, were quantified through multiplex ELISA. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokines levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1786944-g002.tif">
<alt-text content-type="machine-generated">Three scatter plots compare cytokine levels (IL-1&#x3b1;, IL-6, TNF) in healthy, infected, and affected groups. TNF shows a statistically significant difference (p = 0.038) between healthy and affected group.</alt-text>
</graphic></fig>
<p>Subsequently, the release of <italic>M. bovis</italic> specific anti-inflammatory cytokines (IL-10, IL-36Ra) in the three groups was investigated. For both the anti-inflammatory IL-10 and the receptor antagonist IL-36Ra, no differences between groups were observed (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure&#xa0;1</bold></xref>).</p>
<p>IP-10, MIP-1&#x3b1;, and MCP-1 are chemokines that trigger leukocyte recruitment into the inflammatory site. We observed that affected and infected animals released higher levels of <italic>M. bovis</italic>-specific IP-10 (1567 &#xb1; 135; 1414 &#xb1; 148, respectively) compared to healthy cattle (227 &#xb1; 135), both with p&lt; 0.0001 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). No differences in <italic>M. bovis</italic>-specific IP-10 levels were instead observed between the affected and infected groups (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). For both MIP-1&#x3b1; and MCP-1, no differences between groups were detected (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Release of <italic>M. bovis</italic> specific chemokines (IP-10, MIP-1&#x3b1;, MCP-1) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of IP-10, MIP-1&#x3b1;, and MCP-1 were quantified through multiplex ELISA. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokine levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1786944-g003.tif">
<alt-text content-type="machine-generated">Three dot plots compare levels of IP-10, MIP-1&#x3b1;, and MCP-1 in healthy, infected, and affected groups, showing higher IP-10 in infected and affected groups with significant differences indicated by p values less than 0.0001.</alt-text>
</graphic></fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Plot from canonical discriminant analyses. In <bold>(A)</bold>, a multivariate approach was conducted using canonical discriminant analysis on 16 &#x394;_cytokines using SAS v9.4 (CANDISC Procedure). In <bold>(B)</bold>, a multivariate approach was conducted using canonical discriminant analysis on 5&#x394;_cytokines ((IFN-&#x3b3;, IL-4, IL-17, IP-10, TNF) using SAS v9.4 (CANDISC Procedure). In both panels, animals belonging to the three groups (healthy (N = 19), infected (N = 17), affected (N = 19)) are displayed based on the two canonical functions (Can1, Can2).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1786944-g004.tif">
<alt-text content-type="machine-generated">Panel A shows a scatter plot with three groups labeled by color: affected (red), healthy (green), and infected (blue). Data points are plotted using canonical axes Can1 and Can2, illustrating group separation patterns.   Panel B provides a similar scatter plot with the same color labels and axes, visually comparing group clustering and separation. Both panels display distinct distributions for each group.</alt-text>
</graphic></fig>
<p>IL-23, IL-27, and IL-35 are members of the IL-12 family, and their <italic>M. bovis</italic> specific levels in healthy, infected, and affected cattle were determined and compared. For all these cytokines, no differences among groups were observed (<xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Figure&#xa0;2</bold></xref>).</p>
<p>The levels of <italic>M. bovis</italic> specific VEGF-A (vascular endothelial growth factor) and THBS-1 (thrombospondin-1, an adhesive glycoprotein that mediates cell-to-cell and cell-to-matrix interactions) were also analyzed. Affected and infected animals released lower levels of <italic>M. bovis</italic>-specific VEGF-A (-68 &#xb1; 16; -88 &#xb1; 17, respectively) compared to healthy cattle (-37 &#xb1; 16), although without significance (p = 0.3769; p = 0.0816) (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Figure&#xa0;3</bold></xref>). For THBS-1, no statistically significant differences between healthy, infected, and affected cattle were observed (<xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Figure&#xa0;3</bold></xref>).</p>
<p>The correlation analysis didn&#x2019;t highlight either high or significant interdependence among the tested variables, as shown in the <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>.</p>
<p>Finally, canonical discriminant analyses (CDA) were used to generate predictive cytokine profiles by groups, to identify potential diagnostic biomarkers of <italic>M. bovis</italic> infection. A CDA was performed with the 16 cytokines monitored in the study (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). The first canonical (Can1) differentiates between healthy and <italic>M. bovis</italic> exposed animals, whereas the second canonical (Can2) could only modestly allow a separation between infected and affected cattle (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). <xref ref-type="table" rid="T2"><bold>Table&#xa0;2A</bold></xref> reports the factor loading (FL) for each cytokine in canonical variables, but only Can 1 showed a positive and high correlation with &#x394;_IP-10 (FL = 0.82), &#x394;_IFN-&#x3b3; (FL = 0.75), &#x394;_IL-17 (FL = 0.58), and &#x394;_IL-4 (FL = 0.52).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlations between original variables and canonical functions for both canonical discriminant analyses.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left" colspan="3">A</th>
<th valign="middle" align="left" colspan="3">B</th>
</tr>
<tr>
<th valign="middle" align="left">&#x394;_cytokine</th>
<th valign="middle" align="left">Can 1</th>
<th valign="middle" align="left">Can 2</th>
<th valign="middle" align="left">&#x394;_cytokine</th>
<th valign="middle" align="left">Can 1</th>
<th valign="middle" align="left">Can 2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"><bold>&#x394;_IFN-&#x3b3;</bold></td>
<td valign="middle" align="right"><bold>0.75</bold></td>
<td valign="middle" align="right">0.15</td>
<td valign="middle" align="left"><bold>&#x394;_IFN-&#x3b3;</bold></td>
<td valign="middle" align="right"><bold>0.76</bold></td>
<td valign="middle" align="right">0.34</td>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-1&#x3b1;</td>
<td valign="middle" align="right">0.32</td>
<td valign="middle" align="right">-0.11</td>
<td valign="middle" align="left"><bold>&#x394;_IL-4</bold></td>
<td valign="middle" align="right"><bold>0.55</bold></td>
<td valign="middle" align="right">0.37</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>&#x394;_IL-4</bold></td>
<td valign="middle" align="right"><bold>0.52</bold></td>
<td valign="middle" align="right">0.37</td>
<td valign="middle" align="left"><bold>&#x394;_IL-17</bold></td>
<td valign="middle" align="right"><bold>0.58</bold></td>
<td valign="middle" align="right"><bold>0.54</bold></td>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-6</td>
<td valign="middle" align="right">0.22</td>
<td valign="middle" align="right">-0.01</td>
<td valign="middle" align="left"><bold>&#x394;_IP-10</bold></td>
<td valign="middle" align="right"><bold>-0.89</bold></td>
<td valign="middle" align="right">0.49</td>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-10</td>
<td valign="middle" align="right">0.17</td>
<td valign="middle" align="right">-0.24</td>
<td valign="middle" align="left"><bold>&#x394;_TNF</bold></td>
<td valign="middle" align="right"><bold>0.50</bold></td>
<td valign="middle" align="right">-0.35</td>
</tr>
<tr>
<td valign="middle" align="left"><bold>&#x394;_IL-17</bold></td>
<td valign="middle" align="right"><bold>0.58</bold></td>
<td valign="middle" align="right">0.33</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><bold>&#x394;_</bold> MIP-1&#x3b1;</td>
<td valign="middle" align="right">0.12</td>
<td valign="middle" align="right">-0.26</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-36Ra</td>
<td valign="middle" align="right">-0.15</td>
<td valign="middle" align="right">-0.10</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"><bold>&#x394;_IP-10</bold></td>
<td valign="middle" align="right"><bold>0.82</bold></td>
<td valign="middle" align="right">-0.30</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_MCP1</td>
<td valign="middle" align="right">0.04</td>
<td valign="middle" align="right">-0.14</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_TNF</td>
<td valign="middle" align="right">0.49</td>
<td valign="middle" align="right">0.21</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_VEGF</td>
<td valign="middle" align="right">-0.25</td>
<td valign="middle" align="right">0.41</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-23</td>
<td valign="middle" align="right">-0.08</td>
<td valign="middle" align="right">0.29</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-27</td>
<td valign="middle" align="right">0.27</td>
<td valign="middle" align="right">-0.19</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_IL-35</td>
<td valign="middle" align="right">0.15</td>
<td valign="middle" align="right">0.15</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x394;_THBS1</td>
<td valign="middle" align="right">-0.23</td>
<td valign="middle" align="right">0.15</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The heavier correlation coefficients are marked in bold.</p></fn>
<fn>
<p>The difference (&#x394;_cytokine) between the level of each specific cytokine measured in the antigen condition (PPD-B) and the corresponding baseline concentration (PBS), and their weight in the Can 1 and Can2, are presented: A Sixteen tested cytokines. B Five cytokines that significantly differentiate healthy and infected/affected animals (IFN-&#x3b3;, IL-4, IL-17, IP-10, TNF).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To identify the most discriminating combination of cytokines, another CDA was performed using the 5 cytokines that presented statistically significant differences among groups (IP-10, IFN-&#x3b3;, IL-17, IL-4, TNF). The resulting scatter plot of multivariate outcomes is shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. Using these 5 cytokines, Can1 could still differentiate healthy from <italic>M. bovis</italic> exposed animals, except for three animals (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). The second canonical (Can2) could only modestly allow a separation between infected and affected cattle (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). <xref ref-type="table" rid="T2"><bold>Table&#xa0;2B</bold></xref> reports the factor loading (FL) for each cytokine in canonical variables, showing a positive and high correlation with &#x394;_IP-10 (FL = 0.89), &#x394;_IFN-&#x3b3; (FL = 0.76), &#x394;_IL-17 (FL = 0.58), and &#x394;_IL-4 (FL = 0.55) and &#x394;_TNF (FL = 0.50) in Can 1, while in Can 2 only <bold>&#x394;_</bold>IL-17 had a high FL (0.54).</p>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Bovine tuberculosis is a zoonotic disease threatening the cattle industry worldwide. To date, several studies have been conducted to improve its diagnosis and understanding, including the discovery of new biomarkers (<xref ref-type="bibr" rid="B7">7</xref>). <italic>M. bovis</italic> infection triggers the development of a cell-mediated immune response, which precedes humoral responses; accordingly, IFN-&#x3b3; remains one of the most widely used biomarkers for detecting <italic>M. bovis</italic> infection in cattle and other species. Several additional cytokines are involved in immune response against this pathogen and their potential use as biomarkers of <italic>M. bovis</italic> infection in cattle requires further investigation (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>). In this study, we evaluated the utility of 16 key immune cytokines as diagnostic biomarkers for <italic>M. bovis</italic> infection in cattle.</p>
<p>IFN-&#x3b3; is a cytokine mainly released by NK and activated T cells in the framework of a Th1 response (<xref ref-type="bibr" rid="B17">17</xref>). It is routinely used in the diagnosis of <italic>M. bovis</italic> infection in cattle, and in our work, it was indeed able to discriminate healthy from infected animals. Differences were also observed between cattle presenting (&#x2018;affected group&#x2019;) or lacking (&#x2018;infected group&#x2019;) visible TB-lesions, suggesting that the magnitude of the antigen-specific IFN-&#x3b3; response might increase with disease progression and lesion development during <italic>M. bovis</italic> infection.</p>
<p>IL-4 is regarded as a signature cytokine of a Th2 response (<xref ref-type="bibr" rid="B18">18</xref>). Previous studies reported that this cytokine was able to distinguish <italic>M. bovis</italic> infected cattle from healthy subjects, although IL-4 response was delayed compared to the IFN-&#x3b3; response (<xref ref-type="bibr" rid="B19">19</xref>). It was speculated that the IL-4 response reflected a switch from Th1- to Th2-dominated responses in the later stage of <italic>M. bovis</italic> infection (<xref ref-type="bibr" rid="B7">7</xref>). Accordingly, we observed that affected cattle released higher PPD-B-specific IL-4 compared to those belonging to the infected and control groups. Our data suggest that this cytokine might be useful for differentiating stages of bTB infection in cattle.</p>
<p>IL-17 is a cytokine mainly released by Th17 and &#x3b3;&#x3b4;-T cells and it is a hallmark of a Th17 response (<xref ref-type="bibr" rid="B20">20</xref>). Previous studies reported that <italic>M. bovis</italic> infected cattle presented higher PPD-B-specific release of IL-17 compared to healthy subjects (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). In addition, Blanco and collaborators observed that IL-17 expression was associated with the presence of TB-lesions in infected cattle (<xref ref-type="bibr" rid="B23">23</xref>). Accordingly, we observed that cattle, belonging to the affected group (with visible TB-lesions), released higher PPD-B-specific IL-17 compared to those belonging to the infected and control groups, suggesting that this cytokine might be useful in cattle to distinguish bTB infection stage.</p>
<p>IL-1&#x3b1;, IL-6, and TNF are key pro-inflammatory cytokines released during the early stages of infection, which enhance inflammation and trigger the release of chemokines, which in turn enhance the recruitment of leukocytes to the infection focus. We observed no differences among groups in terms of PPD-B specific release of IL-1&#x3b1; and IL-6, whereas affected cattle presented higher levels of TNF compared to healthy subjects. Previous studies in humans described that antigen-specific release of TNF by CD4<sup>+</sup> T cells was able to distinguish patients with active and latent infection (<xref ref-type="bibr" rid="B24">24</xref>) and we recently observed that the frequency of TNF<sup>+</sup> producing CD4<sup>+</sup> T cells enabled discrimination between infected/exposed and non-infected Mediterranean buffaloes (<xref ref-type="bibr" rid="B25">25</xref>). In agreement, we previously reported that Mediterranean buffaloes with visible TB lesions at the slaughterhouse released higher levels of TNF in response to PPD-B stimulation compared to healthy subjects and those reactive only to the IFN-&#x3b3; assay (<xref ref-type="bibr" rid="B14">14</xref>). Overall, these data suggest that TNF might be a valuable biomarker for distinguishing bTB infection stages across different host species, including cattle.</p>
<p>Two anti-inflammatory cytokines were then evaluated: IL-10 and IL-36Ra (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Previous studies reported that IL-10 promotes <italic>M. bovis</italic> survival within macrophages (<xref ref-type="bibr" rid="B28">28</xref>) and plays an important role in granuloma formation (<xref ref-type="bibr" rid="B29">29</xref>). Nevertheless, no differences between groups were observed in terms of PPD-B specific IL-10 release and this might be due to the diverse cytokine pattern in cells in peripheral blood (evaluated in our study) compared with those present within granulomatous lesions, where IL-10 production is typically more pronounced. No differences were also observed for IL-36Ra in all tested cattle, according to what we previously observed in Mediterranean buffaloes (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Chemokines are low-molecular-weight mediators that promote cell recruitment to infected tissues (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). We observed no differences between groups in terms of PPD-B specific release of MIP-1&#x3b1; and MCP-1, whereas both infected and affected groups presented higher levels of IP-10 compared to healthy subjects. In agreement, several studies in cattle and buffaloes showed the utility of this chemokine in identifying <italic>M. bovis</italic> infected animals (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Studies in humans reported indeed that IP-10 can be a biomarker for tuberculosis in both adults and children. However, IP&#x2212;10 does not reliably distinguish active TB from latent TB (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). In agreement, our data suggest that IP-10 is not informative for differentiating stages of bTB in cattle, but it might improve early detection of the infection. Future studies with a larger number of animals will be essential to confirm these findings and to assess whether IP-10 can improve early diagnosis of <italic>M. bovis</italic>.</p>
<p>IL-23, IL-27, and IL-35 are members of the IL-12 family (<xref ref-type="bibr" rid="B37">37</xref>) and little is known about their role during <italic>M. bovis</italic> infection. We observed no differences among healthy, infected, and affected cattle. Our data disagree with those of Sharma and co-authors, where researchers described that PBMC from <italic>M. bovis</italic> infected cattle presented higher expression of IL-23 in response to PPD-B stimulation compared to those of healthy controls (<xref ref-type="bibr" rid="B38">38</xref>). This difference might be due to post-transcriptional mechanisms that inhibit IL-23 protein release from PBMC, despite elevated mRNA expression, in response to PPD-B stimulation.</p>
<p>VEGF-A stimulates angiogenesis and plays a key role in the maintenance of the vascular and lymphatic systems (<xref ref-type="bibr" rid="B39">39</xref>) and its role during <italic>M. bovis</italic> infection in cattle is largely unexplored. Previous studies in humans and mice reported that VEGF-A is implicated in granuloma formation and likely enhances tuberculosis spread in the host (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Higher serum levels of this growth factor were observed in human patients with symptoms of tuberculosis compared to healthy controls (<xref ref-type="bibr" rid="B40">40</xref>). Surprisingly, in our study we observed that cattle from both the infected and the affected groups, but not healthy controls, released lower levels of VEGF-A in response to PPD-B stimulation compared to nil control (PBS). Similar results were previously reported in Mediterranean Buffaloes (<xref ref-type="bibr" rid="B14">14</xref>). We might speculate that this downregulation is due to higher PPD-B-specific release of IFN-&#x3b3; in the infected/affected groups compared to controls. Supporting this hypothesis, previous studies reported that IFN-&#x3b3; can suppress VEGF-A release by monocytes (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>THBS-1 is an adhesive glycoprotein which mediates cell-to-cell and cell-to-matrix interactions (<xref ref-type="bibr" rid="B43">43</xref>). In cattle, <italic>THBS-1</italic> was reported to be down-regulated in cattle experimentally infected with <italic>M. bovis</italic> (<xref ref-type="bibr" rid="B44">44</xref>) and another study described that healthy and naturally infected bTB cattle presented a differential transcription of the <italic>THBS-1</italic> gene (<xref ref-type="bibr" rid="B45">45</xref>). On the contrary, in our study, we observed no differences between healthy and <italic>M. bovis</italic> exposed cattle; this might be due to post-transcriptional mechanisms which nullify the difference between groups.</p>
<p>Finally, we aimed to identify the cytokine combinations that better differentiated the three groups. Two canonical analyses were performed: the first one included all the sixteen cytokines analyzed in the study, and the second one included only the five cytokines (IFN-&#x3b3;, IP-10, IL-4, IL-10, TNF) with statistical differences among groups. In both analyses, a clear differentiation was observed between healthy and <italic>M. bovis</italic> exposed animals, whereas the separation between infected and affected cattle remained modest. Our data suggest that the quantitative determination of IFN-&#x3b3; and the related chemokine IP-10 could be useful in the diagnosis of <italic>M. bovis</italic> infection in cattle, in agreement with previous studies (<xref ref-type="bibr" rid="B7">7</xref>). These preliminary observations should be validated to establish whether the parallel measurement of these two cytokines can improve the diagnosis of <italic>M. bovis</italic> infection in cattle in terms of sensitivity and specificity, and whether IP-10 could allow an earlier identification of infected cattle. In addition, our data suggested that IL-4, IL-10, and TNF might be useful to distinguish cattle in diverse stages of TB infection. Future studies on a larger set of samples will be essential to establish whether the combined measurement of these three cytokines can allow the identification of cattle with limited transmission risks, which might allow temporary retention of animals with high economic and/or genetic value under appropriate management and biosecurity conditions.</p>
<p>In parallel to the discovery of new biomarkers, another main area of bTB research is the identification of new antigens to improve IGRA specificity. PPD-B provides a wide variety of antigens that can be presented to lymphocytes, reflecting the range of antigens to which the host is exposed during infection, but shares epitopes with other mycobacteria, thus it shows limited specificity (<xref ref-type="bibr" rid="B46">46</xref>). Several studies investigated new antigens to improve IGRA specificity, such as ESAT6 and CFP10, which are potent T-cell&#x2013;stimulating proteins secreted by <italic>M. tuberculosis</italic> and M<italic>. bovis</italic> (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). More recently, more complex antigen formulations have been evaluated in both IGRA and IDT, such as DST-F (ESAT-6/CFP-10 plus Rv3615c) and MDT, which comprises ESAT-6/CFP-10, Rv3615c, Rv3020c, Rv1789, Rv3478, and Rv3810 (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Other studies investigated the ability of the protein complex P22 to improve bTB diagnosis (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). P22 is composed of several immunodominant antigens recognized by T cells, including MPB70, MPB83, ESAT-6, and CFP-10, and may provide greater specificity than PPD-B (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Future studies should combine both strategies (discovery for new biomarkers and identification of more specific antigens) to improve bTB diagnosis. The selected cytokines (IFN-&#x3b3;, IP-10, IL-4, IL-10, TNF) should be quantified <italic>in vitro</italic> not only in samples stimulated with PPD-B, but also in response to stimulation with other antigens such as ESAT-6, ESAT10, or P22.</p>
<p>Overall, the data generated in our study provide a foundation to improve both the diagnosis and the immunological staging of <italic>M. bovis</italic> infection in cattle.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<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 id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by the Institutional Ethics Committee of the Istituto Zooprofilattico Sperimentale del Mezzogiorno. Cattle used in this study were analysed within the context of official eradication program, therefore were not considered experimental animals. The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>GF: Conceptualization, Data curation, Investigation, Writing &#x2013; original draft, Visualization, Formal Analysis. FS: Formal Analysis, Visualization, Data curation, Conceptualization, Investigation, Writing &#x2013; review &amp; editing. GC: Methodology, Formal Analysis, Investigation, Funding acquisition, Writing &#x2013; review &amp; editing. AD: Investigation, Methodology, Writing &#x2013; review &amp; editing. LS: Methodology, Investigation, Writing &#x2013; review &amp; editing. SZ: Writing &#x2013; review &amp; editing, Methodology, Investigation. EG: Writing &#x2013; review &amp; editing, Methodology, Investigation. PC: Investigation, Writing &#x2013; review &amp; editing, Methodology. MN: Writing &#x2013; review &amp; editing, Methodology, Investigation. OP: Validation, Writing &#x2013; review &amp; editing. GI: Writing &#x2013; review &amp; editing, Validation. FN: Data curation, Formal Analysis, Investigation, Writing &#x2013; review &amp; editing, Visualization, Conceptualization. MB: Funding acquisition, Visualization, Conceptualization, Investigation, Writing &#x2013; review &amp; editing. AM: Data curation, Visualization, Conceptualization, Project administration, Investigation, Resources, Writing &#x2013; review &amp; editing, Funding acquisition.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Silvia Dei Giudici (IZS of Sardinia, Sassari, Italy) for technical support and the Veterinary Services of the Campania region (Italy) for sample collection.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1786944/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1786944/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.jpeg" id="SF1" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Release of <italic>M. bovis</italic> specific anti-inflammatory cytokines (IL-10, IL-36Ra) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of IL-10 and IL-36Ra were quantified through multiplex ELISA. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokine levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image2.jpeg" id="SF2" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Release of <italic>M. bovis</italic> specific cytokines of the IL-12 family (IL-23, IL-27, IL-35) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of IL-23, IL-27, and IL-35 were quantified through singleplex ELISAs. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokine levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image3.jpeg" id="SF3" mimetype="image/jpeg"><label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Release of other <italic>M. bovis</italic> specific cytokines (VEGF-A, THMS-1) in healthy, infected, and affected cattle. Whole blood from healthy (N = 19), infected (N = 17), and affected (N = 19) cattle was collected using heparin as anticoagulant. Whole blood was stimulated with PPD-B, alongside PBS (nil control antigen). After 18&#x2013;24 h, plasmas were collected, and levels of VEGF-A, and THBS-1 were quantified through singleplex and multiplex ELISAs, respectively. <italic>M. bovis</italic> specific cytokine responses were determined by subtracting PBS cytokines levels from those measured in the PPD-B condition. Differences between groups are displayed; p-values&lt; 0.05 were considered statistically significant.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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