{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T12:58:48Z","timestamp":1790686728941,"version":"4.1.0"},"reference-count":54,"publisher":"Wiley","issue":"18","license":[{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"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":["Clinical Laboratory Analysis"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Sepsis remains difficult to diagnose since blood culture has low sensitivity and current biomarkers lack sufficient specificity. We sought to identify robust diagnostic and therapeutic targets for neonatal sepsis through an integrated bioinformatics and experimental workflow.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The GSE69686 dataset (108 neonates; 48 sepsis, 60 controls collected \u2264\u20093\u2009days after birth) was analyzed using a multi\u2010step pipeline: WGCNA to identify sepsis\u2010associated modules; limma\u2010based differential expression; feature selection by LASSO and SVM\u2010RFE; immune deconvolution (CIBERSORT); and pathway interrogation (GSEA). Drug enrichment (Enrichr\/DSigDB) and molecular docking (AutoDock) supported targetability. Experimental validation employed a THP\u20101 sepsis\u2010like model (1\u2009\u03bcg\/mL LPS, 24\u2009h) with qRT\u2010PCR, shRNA\u2010mediated\n                      <jats:italic>BST1<\/jats:italic>\n                      knockdown, Western blot, ELISA (IL\u20106, TNF\u2010\u03b1, IL\u20101\u03b2), CCK\u20108, and Annexin V\/PI flow cytometry.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Intersecting the outputs of LASSO and SVM\u2010RFE yielded three robust biomarkers\u2014\n                      <jats:italic>FCER1G<\/jats:italic>\n                      ,\n                      <jats:italic>IL1R2<\/jats:italic>\n                      , and\n                      <jats:italic>BST1<\/jats:italic>\n                      . These genes are associated with broad shifts in inferred immune infiltration, and GSEA linked their high expression to INFLAMMATORY RESPONSE;\n                      <jats:italic>BST1<\/jats:italic>\n                      and\n                      <jats:italic>FCER1G<\/jats:italic>\n                      were additionally enriched for TNF\u03b1\/NF\u2010\u03baB signaling. In THP\u20101 cells, LPS upregulated all three genes; focusing on\n                      <jats:italic>BST1<\/jats:italic>\n                      , shRNA knockdown partially rescued proliferation (0\u201372\u2009h), reduced IL\u20106\/TNF\u2010\u03b1\/IL\u20101\u03b2 secretion, and lowered apoptosis relative to sh\u2010NC. Docking analysis suggested artesunate as a candidate modulator with a binding energy of \u22126.27\u2009kcal\/mol to\n                      <jats:italic>BST1<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Our integrated pipeline nominates\n                      <jats:italic>FCER1G, IL1R2,<\/jats:italic>\n                      and\n                      <jats:italic>BST1<\/jats:italic>\n                      as biologically coherent biomarkers of sepsis and highlights\n                      <jats:italic>BST1<\/jats:italic>\n                      as a plausible therapeutic target warranting further investigation. These findings support external validation in multicenter cohorts and mechanistic extension\u2014particularly functional testing of predicted modulators\u2014in primary cells.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcla.70299","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T06:45:59Z","timestamp":1786603559000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated Bioinformatics Analysis Identifies\n                    <scp>FCER1G<\/scp>\n                    ,\n                    <scp>IL1R2<\/scp>\n                    , and\n                    <scp>BST1<\/scp>\n                    as Diagnostic Biomarkers and Therapeutic Targets in Sepsis"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4215-6199","authenticated-orcid":false,"given":"Junjie","family":"Li","sequence":"first","affiliation":[{"name":"Department of Intensive Care Unit The Affiliated Hospital of Yunnan University  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanghui","family":"Xiu","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Unit The Affiliated Hospital of Yunnan University  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Unit The Affiliated Hospital of Yunnan University  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianzhong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Unit The Affiliated Hospital of Yunnan University  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kailv","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Unit The Affiliated Hospital of Yunnan University  Kunming China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2876-8917","authenticated-orcid":false,"given":"Yunfeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine I Yan'an Hospital Affiliated to Kunming Medical University  Kunming 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