{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T07:07:14Z","timestamp":1784185634296,"version":"3.55.0"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":195,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Mediators of Inflammation"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Latent tuberculosis infection (LTBI) is an important public health problem and a major source of future active tuberculosis (ATB) cases. In this preliminary study, we sought to identify host biomarkers that could potential differentiate between LTBI and ATB.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 145 plasma samples obtained from antigen tubes of the QuantiFERON\u2010TB Gold Plus assay were analysed. Concentrations of 20 selected cytokines were determined using a multiplex bead\u2010based immunoassay (Luminex xMAP Technology). Cytokine profiles were compared between patients with ATB, LTBI, and non\u2010tuberculosis (TB)\/LTBI controls. Diagnostic performance was assessed using receiver operating characteristic (ROC) analysis and multivariable logistic regression modelling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Comparison of cytokine profiles showed significant differences in 13 of 20 analysed markers between LTBI and ATB. Among all evaluated biomarkers, interleukin\u20107 (IL\u20107) demonstrated the highest diagnostic potential in differentiating the two conditions (95.9%), outperforming interferon\u2010gamma (IFN\u2010\u03b3), the key component of current IFN\u2010\u03b3 release assay (IGRA) assays. A logistic regression model based on IL\u20107 and IFN\u2010\u03b3 achieved high diagnostic accuracy (98.1%) in this study cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These preliminary findings suggest that IL\u20107, in combination with IFN\u2010\u03b3, may serve as a promising candidate biomarker signature for distinguishing LTBI from ATB. Nevertheless, these findings are based on a single\u2010centre dataset and represent internal, non\u2010externally validated results. Therefore, external validation in independent multicentre cohorts is essential before any clinical application can be considered.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/mi\/1686665","type":"journal-article","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T06:51:32Z","timestamp":1784184692000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Biomarkers in QuantiFERON Supernatants May Help Distinguish Latent Tuberculosis Infection From Active Tuberculosis: Preliminary Report"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2564-9151","authenticated-orcid":false,"given":"Dagmara","family":"Borkowska-Tatar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2781-9844","authenticated-orcid":false,"given":"Anna","family":"Zabost","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-8360","authenticated-orcid":false,"given":"Micha\u0142","family":"Czopowicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6162-8748","authenticated-orcid":false,"given":"Ewa","family":"Augustynowicz-Kope\u0107","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002152"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.202011-4239PP"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2022.05.029"},{"key":"e_1_2_9_4_2","volume-title":"Latent Tuberculosis Infection: Updated and Consolidated Guidelines for Programmatic Management","year":"2018"},{"key":"e_1_2_9_5_2","volume-title":"Global Tuberculosis Report 2025","year":"2025"},{"key":"e_1_2_9_6_2","volume-title":"Implementing the End TB Strategy: The Essentials, 2022 Update","year":"2022"},{"key":"e_1_2_9_7_2","volume-title":"Module 3: Diagnosis. 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