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Multiple Machine Learning Identifies Key Gene PHLDA1 Suppressing NAFLD Progression.

Zhenwei Yang1, Zhiqin Chen2,3, Jingchao Wang4

  • 1Department of Gastroenterology, The Fifth School of Clinical Medicine of Zhejiang, Huzhou Central Hospital, Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China. 2780779862@qq.com.

Inflammation
|November 4, 2024
PubMed
Summary
This summary is machine-generated.

Pleckstrin homology like domain family A member 1 (PHLDA1) may be a novel biomarker for non-alcoholic fatty liver disease (NAFLD). Overexpression of PHLDA1 reduces lipid accumulation, suggesting its potential in NAFLD treatment.

Keywords:
BiomarkerMachine Learning strategyNAFLDPHLDA1

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Area of Science:

  • Hepatology and Molecular Biology
  • Biomarker Discovery
  • Genomics

Background:

  • Non-alcoholic fatty liver disease (NAFLD) is a growing global health concern with incompletely understood progression mechanisms.
  • Current molecular markers for NAFLD lack robust clinical evidence, necessitating the identification of novel biomarkers for improved prediction, prevention, and personalized treatment.

Purpose of the Study:

  • To identify novel genes and potential biomarkers for non-alcoholic fatty liver disease (NAFLD) using bioinformatics and machine learning approaches.
  • To investigate the role of identified genes in NAFLD pathogenesis and their association with immune cells.
  • To validate the findings in cellular and animal models of NAFLD.

Main Methods:

  • Downloaded and analyzed Gene Expression Omnibus (GEO) datasets for differential gene expression and functional enrichment analysis.
  • Employed Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning algorithms to screen key genes.
  • Utilized Receiver Operating Characteristic (ROC) analysis for diagnostic value assessment and CIBERSORT/scRNA-seq for immune cell association studies.
  • Validated findings in vitro (hepatic steatosis cell model) and in vivo (mouse NAFLD model).

Main Results:

  • Identified 23 overlapping differentially expressed genes (DEGs) associated with pathways like Apoptosis and p53 signaling.
  • Discovered pleckstrin homology like domain family A member 1 (PHLDA1) as a key gene, downregulated in NAFLD with high diagnostic accuracy.
  • PHLDA1 showed significant correlations with immune cells, particularly macrophages, and its downregulation was confirmed in vitro and in vivo.
  • Overexpression of PHLDA1 reduced lipid accumulation and key lipogenic gene expression (FASN, SCD-1, CD36) in hepatic steatosis models.

Conclusions:

  • PHLDA1 is downregulated in non-alcoholic fatty liver disease (NAFLD) and exhibits potential as a diagnostic biomarker.
  • PHLDA1 plays a protective role by inhibiting hepatic lipogenesis and lipid accumulation, suggesting it as a therapeutic target.
  • Further research into PHLDA1 could lead to novel strategies for NAFLD prediction, diagnosis, and targeted prevention.