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与人类非酒精性脂肪性肝病相关的转录网络。

Transcriptional networks implicated in human nonalcoholic fatty liver disease.

作者信息

Ye Hua, Liu Wei

机构信息

Department of Gastroenterology, Ningbo Medical Treatment Center Lihuili Hospital, Ningbo, 315040, China.

School of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.

出版信息

Mol Genet Genomics. 2015 Oct;290(5):1793-804. doi: 10.1007/s00438-015-1037-3. Epub 2015 Apr 8.

Abstract

The transcriptome of nonalcoholic fatty liver disease (NAFLD) was investigated in several studies. However, the implications of transcriptional networks in progressive NAFLD are not clear and mechanisms inducing transition from nonalcoholic simple fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH) are still elusive. The aims of this study were to (1) construct networks for progressive NAFLD, (2) identify hub genes and functional modules in these networks and (3) infer potential linkages among hub genes, transcription factors and microRNAs (miRNA) for NAFLD progression. A systems biology approach by combining differential expression analysis and weighted gene co-expression network analysis (WGCNA) was utilized to dissect transcriptional profiles in 19 normal, 10 NAFL and 16 NASH patients. Based on this framework, 3 modules related to chromosome organization, proteasomal ubiquitin-dependent protein degradation and immune response were identified in NASH network. Furthermore, 9 modules of co-expressed genes associated with NAFL/NASH transition were found. Further characterization of these modules defined 13 highly connected hub genes in NAFLD progression network. Interestingly, 11 significantly changed miRNAs were predicted to target 10 of the 13 hub genes. Characterization of modules and hub genes that may be regulated by miRNAs could facilitate the identification of candidate genes and pathways responsible for NAFL/NASH transition and lead to a better understanding of NAFLD pathogenesis. The identified modules and hub genes may point to potential targets for therapeutic interventions.

摘要

多项研究对非酒精性脂肪性肝病(NAFLD)的转录组进行了调查。然而,转录网络在进展性NAFLD中的意义尚不清楚,且诱导从非酒精性单纯性脂肪肝(NAFL)转变为非酒精性脂肪性肝炎(NASH)的机制仍不明确。本研究的目的是:(1)构建进展性NAFLD的网络;(2)识别这些网络中的枢纽基因和功能模块;(3)推断枢纽基因、转录因子和微小RNA(miRNA)之间在NAFLD进展中的潜在联系。采用结合差异表达分析和加权基因共表达网络分析(WGCNA)的系统生物学方法,剖析了19名正常受试者、10名NAFL患者和16名NASH患者的转录谱。基于此框架,在NASH网络中识别出与染色体组织、蛋白酶体泛素依赖性蛋白降解和免疫反应相关的3个模块。此外,还发现了9个与NAFL/NASH转变相关的共表达基因模块。对这些模块的进一步表征确定了NAFLD进展网络中的13个高度连接的枢纽基因。有趣的是,预测11个显著变化的miRNA靶向13个枢纽基因中的10个。对可能受miRNA调控的模块和枢纽基因进行表征,有助于识别负责NAFL/NASH转变的候选基因和途径,并更好地理解NAFLD的发病机制。所识别的模块和枢纽基因可能指向治疗干预的潜在靶点。

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