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

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

  • By

  • Weiheng Wen

  • Zenghui Liu

  • Wenliang Tan

  • Yingzheng Tan

  • Wei Li

  • Jian Wan

  • Hongsai Hu

  • Zhengwu Jiang

  • Xing Tang

  • Jing Yang

  • Jiao Xiao

  • Xiongjin Tan

  • Xun Chen

  • Peili Wu

  • Yukun Li

  • January 16, 2026

  • 0 min

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Objective:

Consider adding significance of understanding the progression from MASLD to MASH.

Key Findings:
  • Include implications for future research or clinical practice.
Interpretation:

Emphasize potential clinical applications of the findings.

Limitations:
  • Expand on how limitations may affect the study's conclusions.
Conclusion:

DTNA+ macrophages and the RUNX2–PLG–PARD3 axis represent promising mechanisms for understanding and treating MASH.

Original Source(s)

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

  • by Weiheng Wen, Zenghui Liu, Wenliang Tan, Yingzheng Tan, Wei Li, Jian Wan, Hongsai Hu, Zhengwu Jiang, Xing Tang, Jing Yang, Jiao Xiao, Xiongjin Tan, Xun Chen, Peili Wu, Yukun Li

  • January 16, 2026

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