WGCNA combined with machine learning to explore potential biomarkers and treatment strategies for acute liver failure, with experimental validation

We identified <i>HORMAD2</i>, <i>WNT10A</i>, <i>ATP6V1E2</i>, <i>CMBL</i>, <i>ARRDC4</i>, and <i>LPIN2</i>, as diagnostic biomarkers for ALF and demonstrated the effectiveness of eriodictyol for treating ALF. Immune cell infiltration may play a significant role in the pathogenesis and progression of ALF.

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Publication Details

Journal
iLiver
Published
2024-11-13
DOI
https://doi.org/10.1016/j.iliver.2024.100133
Citations
9
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
3.33

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article

WGCNA combined with machine learning to explore potential biomarkers and treatment strategies for acute liver failure, with experimental validation

Xiaomei Zheng, Gang Ye, Xinyan Wu
9 citations
iLiver
Liver Disease and Transplantation
3.33
article

WGCNA combined with machine learning to explore potential biomarkers and treatment strategies for acute liver failure, with experimental validation

Xiaomei Zheng, Gang Ye, Xinyan Wu
article en
9 citations

Abstract

We identified <i>HORMAD2</i>, <i>WNT10A</i>, <i>ATP6V1E2</i>, <i>CMBL</i>, <i>ARRDC4</i>, and <i>LPIN2</i>, as diagnostic biomarkers for ALF and demonstrated the effectiveness of eriodictyol for treating ALF. Immune cell infiltration may play a significant role in the pathogenesis and progression of ALF.

iLiverVol. 3(4)
Sichuan Agricultural University (CN)
Sichuan University
Good health and well-being
Openalex Percentile: Top 7%
Liver Disease and Transplantation
3.33
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