Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models

This study highlights the relevance of pyroptosis-related gene signatures in MASH, providing a basis for enhanced diagnostic accuracy and paving the way for individualized therapeutic interventions targeting disease subtypes.

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Publication Details

Journal
Biochemical and Biophysical Research Communications
Published
2026-02-17
DOI
https://doi.org/10.1016/j.bbrc.2026.153489
Primary Topic
Inflammasome and immune disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models

Chen Haijun, Li Jingya, Su Yang, Wang Xiaobo
Biochemical and Biophysical Research Communications
Inflammasome and immune disorders
article

Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models

Chen Haijun, Li Jingya, Su Yang, Wang Xiaobo
article en

Abstract

This study highlights the relevance of pyroptosis-related gene signatures in MASH, providing a basis for enhanced diagnostic accuracy and paving the way for individualized therapeutic interventions targeting disease subtypes.

Biochemical and Biophysical Research CommunicationsVol. 809
Zhejiang Chinese Medical University (CN), Jinhua Central Hospital (CN), China Jiliang University (CN)
Good health and well-being
Openalex Percentile: Top 54%
Inflammasome and immune disorders
DOIOpen Access PDFOpenAlex
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Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models — Chen Haijun, Li Jingya, et al. · Biochemical and Biophysical Research Communications (2026) | TGRS Research Map | TGRS