{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:57:07Z","timestamp":1787021827743,"version":"build-2736575974"},"update-to":[{"DOI":"10.1371\/journal.pntd.0012995","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T00:00:00Z","timestamp":1744761600000}}],"reference-count":39,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T00:00:00Z","timestamp":1743984000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100016355","name":"Xuzhou Science and Technology Bureau","doi-asserted-by":"crossref","award":["KC23306"],"award-info":[{"award-number":["KC23306"]}],"id":[{"id":"10.13039\/501100016355","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100017962","name":"Jiangsu Commission of Health","doi-asserted-by":"publisher","award":["Z2023080"],"award-info":[{"award-number":["Z2023080"]}],"id":[{"id":"10.13039\/100017962","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Research & Practice Innovation Program of Jiangsu Province","award":["KYCX23-2963"],"award-info":[{"award-number":["KYCX23-2963"]}]},{"DOI":"10.13039\/501100013088","name":"Qinglan Project of Jiangsu Province of China","doi-asserted-by":"publisher","award":["2024"],"award-info":[{"award-number":["2024"]}],"id":[{"id":"10.13039\/501100013088","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:sec id=\"sec019\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Brucellosis is a significant zoonotic disease that impacts people globally, and its diagnosis has long posed challenges. This study aimed to explore the application value of multi-epitope fusion protein in the diagnosis of human brucellosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec020\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Eight important\n                      <jats:italic>Brucella<\/jats:italic>\n                      outer membrane proteins (OMPs) were selected: BP26, omp10, omp16, omp25, omp2a, omp2b, and omp31. Bioinformatics techniques were used to predict the immune epitopes of these proteins, and a multi-epitope fusion protein was designed. This fusion protein was used as the antigen for indirect enzyme-linked immunosorbent assay (iELISA) testing on 100 positive and 96 negative serum samples. The performance of the fusion protein in diagnosing brucellosis was evaluated using receiver operating characteristic (ROC) curves.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec021\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 31 epitopes were predicted from the eight proteins, and a multi-epitope fusion protein was successfully obtained. For the detection of human serum samples, the area under the ROC curve (AUC) of the fusion protein was 0.9594, with a positive diagnostic accuracy of 91.26% and a negative diagnostic accuracy of 93.55%. The area under the ROC curve (AUC) for lipopolysaccharides (LPS) was 0.9999, with a positive diagnostic accuracy of 100% and a negative diagnostic accuracy of 98.97%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec022\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The fusion protein constructed using bioinformatics techniques, as the diagnostic antigen, showed significantly reduced cross-reactivity and enhanced specificity, improving diagnostic accuracy. This not only saves time but also avoids the preparation of LPS antigens, making the diagnostic process safer and more convenient.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pntd.0012995","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T17:36:47Z","timestamp":1744047407000},"page":"e0012995","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":9,"title":["Establishment of an I-ELISA method based on multi-epitope fusion protein for diagnosis of human 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