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Multidimensional landscape of non-alcoholic fatty liver disease-related disease spectrum uncovered by big omics data: Profiling evidence and new perspectives.

Zhengyi ZhuYuyan ChenXueqian QinShujun LiuJinglin WangHao-Zhen Ren
Published in: Smart medicine (2023)
Characterized by hepatic lipid accumulation, non-alcoholic fatty liver disease (NAFLD) is a multifactorial metabolic disorder that could promote the progression of non-alcoholic steatohepatitis (NASH), cirrhosis, and hepatocellular carcinoma (HCC). Benefiting from recent advances in omics technologies, such as high-throughput sequencing, voluminous profiling data in HCC-integrated molecular science into clinical medicine helped clinicians with rational guidance for treatments. In this review, we conclude the majority of publicly available omics data on the NAFLD-related disease spectrum and bring up new insights to inspire next-generation therapeutics against this increasingly prevalent disease spectrum in the post-genomic era.
Keyphrases
  • single cell
  • big data
  • electronic health record
  • high throughput sequencing
  • public health
  • small molecule
  • liver fibrosis
  • gene expression
  • liver injury
  • deep learning
  • data analysis
  • artificial intelligence
  • drug induced