{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T13:24:04Z","timestamp":1777728244754,"version":"3.51.4"},"reference-count":46,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Int Med Res"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To explore the mechanism underlying the progression of newly diagnosed idiopathic thrombocytopenic purpura (ITP) to its chronic or remission state using bioinformatic methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>GSE56232 and GSE46922 gene expression profile datasets were downloaded from Gene Expression Omnibus (GEO). Differentially expressed genes were identified and characteristic genes were screened by weighted gene co-expression network analysis. These genes were used for function enrichment analysis and construction of a protein\u2013protein interaction network. Finally, characteristic genes were verified to determine potential molecular mechanisms underlying ITP progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We found that characteristic genes in the chronic ITP group were mainly involved in intracellular processes and ion binding, while characteristic genes in the remission ITP group were involved in intracellular processes and nuclear physiological activities. We identified a sub-network of characteristic genes,\n                      <jats:italic toggle=\"yes\">LMNA<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">JUN<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">PRKACG<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">SMC3<\/jats:italic>\n                      , which may indicate the mechanism by which newly diagnosed ITP progresses to chronic. Although no meaningful signaling pathways were found, the expression of\n                      <jats:italic toggle=\"yes\">NR3C1<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">TPR<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">SMC4<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">PANBP2<\/jats:italic>\n                      ,\n                      <jats:italic toggle=\"yes\">CHD1<\/jats:italic>\n                      , and\n                      <jats:italic toggle=\"yes\">U2SURP<\/jats:italic>\n                      may affect ITP progression from newly diagnosed to remission.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our findings improve the understanding of the pathogenesis and progression of ITP, and may provide new directions for the development of treatment strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0300060520971437","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:56:15Z","timestamp":1606092975000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Use of bioinformatic analyses in identifying characteristic genes and mechanisms active in the progression of idiopathic thrombocytopenic purpura in individuals with different phenotypes"],"prefix":"10.1177","volume":"48","author":[{"given":"Mengyi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China"},{"name":"Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1448-8022","authenticated-orcid":false,"given":"Binhan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China"},{"name":"Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,11,22]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2009-06-225565"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0039-1678732"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0039-1683416"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-7836.2008.03258.x"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2141.2010.08412.x"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12098-019-03155-4"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1182\/bloodadvances.2019000966"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2014-05-578336"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/pbc.26736"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1097\/MPH.0b013e318271f457"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.gene.2020.144419"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2008.211"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gks1094"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv007"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-559"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/bs.mie.2016.09.016"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1160\/TH15-12-0976"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2013-05-502807"},{"key":"e_1_3_3_20_2","doi-asserted-by":"crossref","unstructured":"Smyth GK. limma: Linear models for microarray data bioinformatics and computational biology solutions using R and bioconductor. 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