{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T20:33:23Z","timestamp":1782592403564,"version":"3.54.5"},"reference-count":43,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2016,3,9]],"date-time":"2016-03-09T00:00:00Z","timestamp":1457481600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Zhejiang Province Public Welfare Technology Application Research Plan","award":["2014C33193"],"award-info":[{"award-number":["2014C33193"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Dermatology"],"published-print":{"date-parts":[[2016,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Atopic dermatitis (<jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>) is a chronic or relapsing inflammatory disorder of the skin that frequently precedes asthma and allergic disorders. This study aimed to identify candidate genes related to <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content> using bioinformatic methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The microarray data of <jats:styled-content style=\"fixed-case\">GSE<\/jats:styled-content>32924, including 12 nonlesional <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">ANL<\/jats:styled-content>) and 13 lesional <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">AL<\/jats:styled-content>) skin samples obtained from 14 patients with <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content> as well as eight other normal human skin samples, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (<jats:styled-content style=\"fixed-case\">DEG<\/jats:styled-content>s) were screened in <jats:styled-content style=\"fixed-case\">ANL<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">AL<\/jats:styled-content> skin samples compared with normal controls, followed by gene ontology (<jats:styled-content style=\"fixed-case\">GO<\/jats:styled-content>) and pathway enrichment analyses. Furthermore, the selected overlapping <jats:styled-content style=\"fixed-case\">DEG<\/jats:styled-content>s were analyzed to identify co\u2010expressed genes, and a co\u2010expression network was established. GeneCodis database was selected for functional annotation of the differentially co\u2010expressed genes and a regulatory network was constructed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared with normal controls, 438 <jats:styled-content style=\"fixed-case\">DEG<\/jats:styled-content>s were identified in <jats:styled-content style=\"fixed-case\">ANL<\/jats:styled-content> skin samples and were mainly enriched in two pathways and the <jats:styled-content style=\"fixed-case\">GO<\/jats:styled-content> terms associated with epidermis development. Besides, 779 <jats:styled-content style=\"fixed-case\">DEG<\/jats:styled-content>s were identified in <jats:styled-content style=\"fixed-case\">AL<\/jats:styled-content> skin samples and were mainly enriched in four pathways and <jats:styled-content style=\"fixed-case\">GO<\/jats:styled-content> terms associated with immune response. Stimulated by retinoic acid 13 (<jats:italic><jats:styled-content style=\"fixed-case\">STRA<\/jats:styled-content>13<\/jats:italic>), presenilin enhancer gamma secretase subunit (<jats:italic><jats:styled-content style=\"fixed-case\">PSENEN<\/jats:styled-content><\/jats:italic>), and nucleosome assembly protein 1\u2010like 2 (<jats:italic><jats:styled-content style=\"fixed-case\">NAP<\/jats:styled-content>1L2<\/jats:italic>) were significantly enriched by integration analysis of the co\u2010expression and regulatory network.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Genes <jats:italic><jats:styled-content style=\"fixed-case\">STRA<\/jats:styled-content>13<\/jats:italic>,<jats:italic> <jats:styled-content style=\"fixed-case\">PSENEN<\/jats:styled-content><\/jats:italic>, and <jats:italic><jats:styled-content style=\"fixed-case\">NAP<\/jats:styled-content>1L2<\/jats:italic> were presumed to play critical roles in <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content> and they may serve as potential targets for the treatment of <jats:styled-content style=\"fixed-case\">AD<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijd.13291","type":"journal-article","created":{"date-parts":[[2016,3,11]],"date-time":"2016-03-11T23:35:49Z","timestamp":1457739349000},"page":"791-800","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Identification of candidate genes in atopic dermatitis based on bioinformatic methods"],"prefix":"10.1111","volume":"55","author":[{"given":"Yingguo","family":"Ding","sequence":"first","affiliation":[{"name":"Department of Dermatology The First Affiliated Hospital College of Medicine Zhejiang University Hangzhou Zhejiang Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xia","family":"Shao","sequence":"additional","affiliation":[{"name":"Department of Dermatology The First 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