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Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH

Crossref DOI link: https://doi.org/10.1038/s41746-026-02352-8

Published Online: 2026-01-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wen, Weiheng

Liu, Zenghui

Tan, Wenliang

Tan, Yingzheng

Li, Wei

Wan, Jian

Hu, Hongsai

Jiang, Zhengwu

Tang, Xing

Yang, Jing

Xiao, Jiao

Tan, Xiongjin

Chen, Xun

Wu, Peili

Li, Yukun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82300955)

National Natural Science Foundation of China (82303246)

Regional Joint Fundation of Guangdong Province (2022A1515111099)

Natural Science Foundation of Hunan Province (2025JJ40100)

Natural Science Foundation of Hunan Province (2023JJ41066)

Health Research Project of Hunan Provincial Health Commission (Z2023100)

Health Research Project of Hunan Provincial Health Commission (W20243173)
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Text and Data Mining valid from 2026-01-16

Version of Record valid from 2026-02-17
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Article History

Received: 10 November 2025

Accepted: 8 January 2026

First Online: 16 January 2026

Competing interests

: The authors declare no competing interests.

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