{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T06:19:26Z","timestamp":1790489966582,"version":"4.1.0"},"reference-count":51,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T00:00:00Z","timestamp":1489363200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Viral Hepatitis"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Accurate staging of liver fibrosis is important for clinical decision making and personalized management. Liver fibrosis is influenced by patients\u2019 genomics, including <jats:styled-content style=\"fixed-case\">IFNL<\/jats:styled-content>3 genotype and micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content> expression. However, incorporating micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content>s into fibrosis prediction algorithms has not been investigated. We examined the potential of eight selected serum micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content>s; miR\u2010122, miR\u2010126, miR\u2010129, miR\u2010199a, miR\u2010155, miR\u2010203a, miR\u2010221, and miR\u2010223 as non\u2010invasive biomarkers to stage liver fibrosis in <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content>\u2010associated chronic liver disease (<jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">CLD<\/jats:styled-content>). 145 Egyptian <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">CLD<\/jats:styled-content> patients were divided according to Metavir fibrosis scores. Micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content>s and <jats:styled-content style=\"fixed-case\">IFNL<\/jats:styled-content>3 <jats:italic>rs12979860<\/jats:italic> genotype were assayed by <jats:styled-content style=\"fixed-case\">RT<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">qPCR<\/jats:styled-content> and allelic discrimination techniques, respectively. Serum miR\u2010122 was downregulated, whereas miR\u2010203a and miR\u2010223 were upregulated in significant fibrosis (\u2265F2) compared with no\/mild fibrosis (F0\u2010F1). Serum miR\u2010126, miR\u2010129, miR\u2010203a, and miR\u2010223 were upregulated in severe fibrosis (\u2265F3) and cirrhosis (F4) compared with F0\u2010F2 and F0\u2010F3, respectively. miR\u2010221 was upregulated in \u2265F3, but unchanged in F4. miR\u2010155, miR\u2010199a, and <jats:styled-content style=\"fixed-case\">IFNL<\/jats:styled-content>3 <jats:italic>rs12979860<\/jats:italic> genotype were not significantly different in all comparisons. Differentially expressed serum micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content>s discriminated \u2265F2, \u2265F3, and F4 by receiver\u2010operating\u2010characteristic analysis. Multivariate logistic analysis revealed a model combining miR\u2010129, miR\u2010223, <jats:styled-content style=\"fixed-case\">AST<\/jats:styled-content>, and platelet count with high diagnostic accuracy for \u2265F3 (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>=0.91). The model also discriminated F4 (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>=0.96) and \u2265F2 (<jats:styled-content style=\"fixed-case\">AUC<\/jats:styled-content>=0.783), and was superior to <jats:styled-content style=\"fixed-case\">APRI<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">FIB<\/jats:styled-content>\u20104 in discriminating \u2265F3 and F4, but not \u2265F2. In conclusion, combining serum micro<jats:styled-content style=\"fixed-case\">RNA<\/jats:styled-content>s with baseline predictors could serve as a new non\u2010invasive algorithm for staging <jats:styled-content style=\"fixed-case\">HCV<\/jats:styled-content>\u2010associated liver fibrosis. Additional studies are required to confirm this model and test its significance in liver fibrosis of other etiologies.<\/jats:p>","DOI":"10.1111\/jvh.12696","type":"journal-article","created":{"date-parts":[[2017,2,17]],"date-time":"2017-02-17T07:52:52Z","timestamp":1487317972000},"page":"636-644","source":"Crossref","is-referenced-by-count":39,"title":["Serum micro<scp>RNA<\/scp>s as predictors for liver fibrosis staging in hepatitis C virus\u2010associated chronic liver disease patients"],"prefix":"10.1111","volume":"24","author":[{"given":"O. G.","family":"Shaker","sequence":"first","affiliation":[{"name":"Medical Biochemistry and Molecular Biology Department Faculty of Medicine Cairo University  Cairo Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3942-0275","authenticated-orcid":false,"given":"M. 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