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Identification of necroptosis genes and characterization of immune infiltration in non-alcoholic steatohepatitis.
Zhang, Huan; He, Yongqiang; Zhao, Yuqing; Axinbai, Malina; Hu, Yuwei; Liu, Shilei; Kong, Jingmin; Sun, Jinhui; Zhang, Liping.
Afiliación
  • Zhang H; Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • He Y; Beijing University of Chinese Medicine, Beijing, China.
  • Zhao Y; Department of Digestion, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Axinbai M; Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Hu Y; Beijing University of Chinese Medicine, Beijing, China.
  • Liu S; Department of Digestion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Kong J; Xinjiang Medical University, Urumqi, China.
  • Sun J; Beijing University of Chinese Medicine, Beijing, China.
  • Zhang L; Department of Digestion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Hereditas ; 161(1): 32, 2024 Oct 01.
Article en En | MEDLINE | ID: mdl-39350187
ABSTRACT

BACKGROUND:

The most common progressive form of non-alcoholic fatty liver disease (NAFLD) is non-alcoholic steatohepatitis (NASH), which is characterized by the development of cirrhosis, and requires liver transplantation. We screened for the differentially expressed necroptosis-related genes in NASH in this study, and analyzed immune infiltration through microarray and bioinformatics analysis to identify potential biomarkers, and explore the molecular mechanisms involved in NASH.

METHODS:

The GSE24807 microarray dataset of NASH patients and healthy controls was downloaded, and we identified the differentially expressed genes (DEGs). Necroptosis-related differential genes (NRDEGs) were extracted from these DEGs, and functionally annotated by enrichment analyses. The core genes were obtained by constructing gene co-expression networks using weighted gene co-expression network analysis (WGCNA). Finally, the transcription factor (TF) regulatory network and the mRNA-miRNA network were constructed, and the infiltrating immune cell populations were analyzed with CIBERSORT.

RESULTS:

We identified six necroptosis-related genes (CASP1, GLUL, PYCARD, IL33, SHARPIN, and IRF9), and they are potential diagnostic biomarkers for NASH. In particular, PYCARD is a potential biomarker for NAFLD progression. Analyses of immune infiltration showed that M2 macrophages, γδ T cells, and T follicular helper cells were associated with the immune microenvironment of NASH, which is possibly regulated by CASP1, IL33, and IRF9.

CONCLUSIONS:

We identified six necroptosis-related genes in NASH, which are also potential diagnostic biomarkers. Our study provides new insights into the molecular mechanisms and immune microenvironment of NASH.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Reguladoras de Genes / Enfermedad del Hígado Graso no Alcohólico / Necroptosis Límite: Humans Idioma: En Revista: Hereditas Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Redes Reguladoras de Genes / Enfermedad del Hígado Graso no Alcohólico / Necroptosis Límite: Humans Idioma: En Revista: Hereditas Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido