Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine learning

Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine learning

BackgroundMetabolic dysfunction-associated steatohepatitis (MASH) is a highly prevalent liver disease globally, with a significant risk of progressing to cirrhosis and even liver cancer. Efferocytosis, a process implicated in a broad spectrum of chronic inflammatory disorders, has been reported to b...

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Bibliographic Details
Main Authors: Chenghui Cao, Wenwu Liu, Xin Guo, Shuwei Weng, Yang Chen, Yonghong Luo, Shuai Wang, Botao Zhu, Yuxuan Liu, Daoquan Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Immunology
Subjects:
metabolic dysfunction-associated steatohepatitis
efferocytosis
bioinformatic analysis
machine learning
TREM2
TIMD4
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1460431/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2024.1460431/full

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