Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis

Purpose Our study aimed to uncover the crucial genes and functional pathways involved in the development of non-alcoholic steatohepatitis (NASH). Methods Liver transcriptome datasets were integrated with Robust rank aggregation (RRA) method, and transcriptomic signatures for NASH progression and fib...

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Veröffentlicht in:Endocrine 2021-07, Vol.73 (1), p.52-64
Hauptverfasser: He, Weiwei, Huang, Caoxin, Zhang, Xiaofang, Wang, Dongmei, Chen, Yinling, Zhao, Yan, Li, Xuejun
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container_end_page 64
container_issue 1
container_start_page 52
container_title Endocrine
container_volume 73
creator He, Weiwei
Huang, Caoxin
Zhang, Xiaofang
Wang, Dongmei
Chen, Yinling
Zhao, Yan
Li, Xuejun
description Purpose Our study aimed to uncover the crucial genes and functional pathways involved in the development of non-alcoholic steatohepatitis (NASH). Methods Liver transcriptome datasets were integrated with Robust rank aggregation (RRA) method, and transcriptomic signatures for NASH progression and fibrosis severity in NAFLD were developed. The functions of transcriptomic signatures were explored by multiple bioinformatic analyses, and their diagnostic role was also evaluated. Results RRA analyses of 12 transcriptome datasets comparing NASH with non-alcoholic fatty liver (NAFL) identified 116 abnormally up-regulated genes in NASH patients. RRA analyses of five transcriptome datasets focusing fibrosis severity identified 78 abnormally up-regulated genes in NAFLD patients with advanced fibrosis. The functions of those transcriptomic signatures of NASH development or fibrosis progression were similar, and were both characterized by extracellular matrix (ECM)-related pathways (Adjusted P  
doi_str_mv 10.1007/s12020-021-02716-y
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Methods Liver transcriptome datasets were integrated with Robust rank aggregation (RRA) method, and transcriptomic signatures for NASH progression and fibrosis severity in NAFLD were developed. The functions of transcriptomic signatures were explored by multiple bioinformatic analyses, and their diagnostic role was also evaluated. Results RRA analyses of 12 transcriptome datasets comparing NASH with non-alcoholic fatty liver (NAFL) identified 116 abnormally up-regulated genes in NASH patients. RRA analyses of five transcriptome datasets focusing fibrosis severity identified 78 abnormally up-regulated genes in NAFLD patients with advanced fibrosis. The functions of those transcriptomic signatures of NASH development or fibrosis progression were similar, and were both characterized by extracellular matrix (ECM)-related pathways (Adjusted P  &lt; 0.05). The transcriptomic signatures could effectively differentiate NASH from NAFL, and could help to identify NAFLD patients with advanced fibrosis. Gene set enrichment analysis and weighted gene co-expression network analysis further validated the key role of ECM-related pathways in NASH development. The top 10 up-regulated genes in NASH patients were SPP1, FBLN5, CHI3L1, CCL20, CD24, FABP4, GPNMB, VCAN, EFEMP1, and CXCL10, and their functions were mainly related to either ECM-related pathways or immunity-related pathways. Single cell RNA-sequencing analyses revealed that those crucial genes were expressed by distinct cells such as hepatocytes, macrophages, and hepatic stellate cells. Conclusions Transcriptomic signatures related to NASH development and fibrosis severity of NAFLD patients are both characterized by ECM-related pathways, and fibrosis is a main player during NASH progression. This study uncovers some novel key genes involved in NASH progression, which may be promising therapeutic targets.</description><identifier>ISSN: 1355-008X</identifier><identifier>EISSN: 1559-0100</identifier><identifier>DOI: 10.1007/s12020-021-02716-y</identifier><identifier>PMID: 33837926</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>CCL20 protein ; CXCL10 protein ; Datasets ; Diabetes ; Endocrinology ; Extracellular matrix ; Fatty liver ; Fibrosis ; Gene expression ; Gene set enrichment analysis ; Genes ; Hepatocytes ; Humanities and Social Sciences ; Internal Medicine ; Macrophages ; Medicine ; Medicine &amp; Public Health ; multidisciplinary ; Original Article ; Science ; Stellate cells ; Transcriptomes ; Transcriptomics</subject><ispartof>Endocrine, 2021-07, Vol.73 (1), p.52-64</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-db8db3bdd1129283cf56b4a762296d6d89678ac37610c380167e8cb959f172693</citedby><cites>FETCH-LOGICAL-c441t-db8db3bdd1129283cf56b4a762296d6d89678ac37610c380167e8cb959f172693</cites><orcidid>0000-0002-6071-6575</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12020-021-02716-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12020-021-02716-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33837926$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Weiwei</creatorcontrib><creatorcontrib>Huang, Caoxin</creatorcontrib><creatorcontrib>Zhang, Xiaofang</creatorcontrib><creatorcontrib>Wang, Dongmei</creatorcontrib><creatorcontrib>Chen, Yinling</creatorcontrib><creatorcontrib>Zhao, Yan</creatorcontrib><creatorcontrib>Li, Xuejun</creatorcontrib><title>Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis</title><title>Endocrine</title><addtitle>Endocrine</addtitle><addtitle>Endocrine</addtitle><description>Purpose Our study aimed to uncover the crucial genes and functional pathways involved in the development of non-alcoholic steatohepatitis (NASH). Methods Liver transcriptome datasets were integrated with Robust rank aggregation (RRA) method, and transcriptomic signatures for NASH progression and fibrosis severity in NAFLD were developed. The functions of transcriptomic signatures were explored by multiple bioinformatic analyses, and their diagnostic role was also evaluated. Results RRA analyses of 12 transcriptome datasets comparing NASH with non-alcoholic fatty liver (NAFL) identified 116 abnormally up-regulated genes in NASH patients. RRA analyses of five transcriptome datasets focusing fibrosis severity identified 78 abnormally up-regulated genes in NAFLD patients with advanced fibrosis. The functions of those transcriptomic signatures of NASH development or fibrosis progression were similar, and were both characterized by extracellular matrix (ECM)-related pathways (Adjusted P  &lt; 0.05). The transcriptomic signatures could effectively differentiate NASH from NAFL, and could help to identify NAFLD patients with advanced fibrosis. Gene set enrichment analysis and weighted gene co-expression network analysis further validated the key role of ECM-related pathways in NASH development. The top 10 up-regulated genes in NASH patients were SPP1, FBLN5, CHI3L1, CCL20, CD24, FABP4, GPNMB, VCAN, EFEMP1, and CXCL10, and their functions were mainly related to either ECM-related pathways or immunity-related pathways. Single cell RNA-sequencing analyses revealed that those crucial genes were expressed by distinct cells such as hepatocytes, macrophages, and hepatic stellate cells. Conclusions Transcriptomic signatures related to NASH development and fibrosis severity of NAFLD patients are both characterized by ECM-related pathways, and fibrosis is a main player during NASH progression. This study uncovers some novel key genes involved in NASH progression, which may be promising therapeutic targets.</description><subject>CCL20 protein</subject><subject>CXCL10 protein</subject><subject>Datasets</subject><subject>Diabetes</subject><subject>Endocrinology</subject><subject>Extracellular matrix</subject><subject>Fatty liver</subject><subject>Fibrosis</subject><subject>Gene expression</subject><subject>Gene set enrichment analysis</subject><subject>Genes</subject><subject>Hepatocytes</subject><subject>Humanities and Social Sciences</subject><subject>Internal Medicine</subject><subject>Macrophages</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>multidisciplinary</subject><subject>Original Article</subject><subject>Science</subject><subject>Stellate cells</subject><subject>Transcriptomes</subject><subject>Transcriptomics</subject><issn>1355-008X</issn><issn>1559-0100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kUtLAzEUhYMotlb_gAsZcONmNI-ZJLMU8QWCGwV3IZNk2pRpUpNMpf_e1FYFFy4u98L9zrkhB4BTBC8RhOwqIgwxLCFGuRii5XoPjFFdNyXM-_08k7ouIeRvI3AU4xxCjDFlh2BECCeswXQM5o_auGQ7q2Sy3hW-K1KQLqpgl8kvrCqinTqZhmBiIZ0uVBiUlX2xlGn2IdexsG7l-5XReSicd6XslZ_5fqNMRiY_Mxm1ycZjcNDJPpqTXZ-A17vbl5uH8un5_vHm-qlUVYVSqVuuW9JqjRBuMCeqq2lbSUYxbqimmjeUcakIowgqwiGizHDVNnXTIYZpQybgYuu7DP59MDGJhY3K9L10xg9R4Do7E8Y4zuj5H3Tuh-Dy6zJVYcIRrVCm8JZSwccYTCeWwS5kWAsExSYJsU1C5CTEVxJinUVnO-uhXRj9I_n--gyQLRDzyk1N-L39j-0nyV-VlA</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>He, Weiwei</creator><creator>Huang, Caoxin</creator><creator>Zhang, Xiaofang</creator><creator>Wang, Dongmei</creator><creator>Chen, Yinling</creator><creator>Zhao, Yan</creator><creator>Li, Xuejun</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6071-6575</orcidid></search><sort><creationdate>20210701</creationdate><title>Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis</title><author>He, Weiwei ; Huang, Caoxin ; Zhang, Xiaofang ; Wang, Dongmei ; Chen, Yinling ; Zhao, Yan ; Li, Xuejun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-db8db3bdd1129283cf56b4a762296d6d89678ac37610c380167e8cb959f172693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CCL20 protein</topic><topic>CXCL10 protein</topic><topic>Datasets</topic><topic>Diabetes</topic><topic>Endocrinology</topic><topic>Extracellular matrix</topic><topic>Fatty liver</topic><topic>Fibrosis</topic><topic>Gene expression</topic><topic>Gene set enrichment analysis</topic><topic>Genes</topic><topic>Hepatocytes</topic><topic>Humanities and Social Sciences</topic><topic>Internal Medicine</topic><topic>Macrophages</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>multidisciplinary</topic><topic>Original Article</topic><topic>Science</topic><topic>Stellate cells</topic><topic>Transcriptomes</topic><topic>Transcriptomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Weiwei</creatorcontrib><creatorcontrib>Huang, Caoxin</creatorcontrib><creatorcontrib>Zhang, Xiaofang</creatorcontrib><creatorcontrib>Wang, Dongmei</creatorcontrib><creatorcontrib>Chen, Yinling</creatorcontrib><creatorcontrib>Zhao, Yan</creatorcontrib><creatorcontrib>Li, Xuejun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Endocrine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Weiwei</au><au>Huang, Caoxin</au><au>Zhang, Xiaofang</au><au>Wang, Dongmei</au><au>Chen, Yinling</au><au>Zhao, Yan</au><au>Li, Xuejun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis</atitle><jtitle>Endocrine</jtitle><stitle>Endocrine</stitle><addtitle>Endocrine</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>73</volume><issue>1</issue><spage>52</spage><epage>64</epage><pages>52-64</pages><issn>1355-008X</issn><eissn>1559-0100</eissn><abstract>Purpose Our study aimed to uncover the crucial genes and functional pathways involved in the development of non-alcoholic steatohepatitis (NASH). Methods Liver transcriptome datasets were integrated with Robust rank aggregation (RRA) method, and transcriptomic signatures for NASH progression and fibrosis severity in NAFLD were developed. The functions of transcriptomic signatures were explored by multiple bioinformatic analyses, and their diagnostic role was also evaluated. Results RRA analyses of 12 transcriptome datasets comparing NASH with non-alcoholic fatty liver (NAFL) identified 116 abnormally up-regulated genes in NASH patients. RRA analyses of five transcriptome datasets focusing fibrosis severity identified 78 abnormally up-regulated genes in NAFLD patients with advanced fibrosis. The functions of those transcriptomic signatures of NASH development or fibrosis progression were similar, and were both characterized by extracellular matrix (ECM)-related pathways (Adjusted P  &lt; 0.05). The transcriptomic signatures could effectively differentiate NASH from NAFL, and could help to identify NAFLD patients with advanced fibrosis. Gene set enrichment analysis and weighted gene co-expression network analysis further validated the key role of ECM-related pathways in NASH development. The top 10 up-regulated genes in NASH patients were SPP1, FBLN5, CHI3L1, CCL20, CD24, FABP4, GPNMB, VCAN, EFEMP1, and CXCL10, and their functions were mainly related to either ECM-related pathways or immunity-related pathways. Single cell RNA-sequencing analyses revealed that those crucial genes were expressed by distinct cells such as hepatocytes, macrophages, and hepatic stellate cells. Conclusions Transcriptomic signatures related to NASH development and fibrosis severity of NAFLD patients are both characterized by ECM-related pathways, and fibrosis is a main player during NASH progression. This study uncovers some novel key genes involved in NASH progression, which may be promising therapeutic targets.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33837926</pmid><doi>10.1007/s12020-021-02716-y</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6071-6575</orcidid></addata></record>
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subjects CCL20 protein
CXCL10 protein
Datasets
Diabetes
Endocrinology
Extracellular matrix
Fatty liver
Fibrosis
Gene expression
Gene set enrichment analysis
Genes
Hepatocytes
Humanities and Social Sciences
Internal Medicine
Macrophages
Medicine
Medicine & Public Health
multidisciplinary
Original Article
Science
Stellate cells
Transcriptomes
Transcriptomics
title Identification of transcriptomic signatures and crucial pathways involved in non-alcoholic steatohepatitis
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