Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults

This study depicts the metabolic features of MASLD in the older population. Our finding explores promising biomarkers for diagnosis and provides more perspectives on molecular mechanisms and potential targets for MASLD in the context of aging.

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Publication Details

Journal
Experimental Gerontology
Published
2026-02-10
DOI
https://doi.org/10.1016/j.exger.2026.113067
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults

Ze Jin, Mengpei Zhu, Lina Xiong, Zhifan Xiong et al.
Experimental Gerontology
Metabolomics and Mass Spectrometry Studies
article

Integrated metabolomics and machine learning identify potential biomarkers and metabolism-related targets for MASLD in older adults

Ze Jin, Mengpei Zhu, Lina Xiong, Zhifan Xiong, Ziwen Wang
article en

Abstract

This study depicts the metabolic features of MASLD in the older population. Our finding explores promising biomarkers for diagnosis and provides more perspectives on molecular mechanisms and potential targets for MASLD in the context of aging.

Experimental GerontologyVol. 215
Huazhong University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 62%
Metabolomics and Mass Spectrometry Studies
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