What question did this study set out to answer?

The research aims to identify metabolic features and biomarkers related to MASLD in older adults.

February 14, 2026Open Access

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

Key Points

The research aims to identify metabolic features and biomarkers related to MASLD in older adults.
Utilized integrated metabolomics to analyze metabolic data.
Applied machine learning techniques to identify potential biomarkers.
Focused on older adult population with MASLD.
Identified promising biomarkers for diagnosing MASLD.
Revealed insights into molecular mechanisms associated with aging and MASLD.
Highlighted potential metabolic targets for future interventions.

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.

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

Key Points

Abstract

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