A Metabolomics-Based Approach for Diagnosing NAFLD and Identifying Its Pre-Condition Along the Potential Disease Spectrum

A Metabolomics-Based Approach for Diagnosing NAFLD and Identifying Its Pre-Condition Along the Potential Disease Spectrum

Introduction: The significant impact of nonalcoholic fatty liver disease (NAFLD) on public health, combined with the limitations of current diagnostic approaches, demands a more comprehensive and accurate method to identify NAFLD cases in large general populations. Methods: In this cross-sectional s...

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Bibliographic Details
Main Authors: Masanori Nojima, Takeshi Kimura, Yutaka Aoki, Hirotaka Fujimoto, Kuniyoshi Hayashi, Junya Ohtake, Mariko Kimura-Asami, Kazuhiko Suzuki, Kevin Urayama, Masaaki Matsuura, Taka-Aki Sato, Katsunori Masuda
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Livers
Subjects:
non-alcoholic fatty liver disease (NAFLD)
metabolomics
biomarker
machine-learning
least absolute shrinkage and selection operator (LASSO)
pre-NAFLD
Online Access:https://www.mdpi.com/2673-4389/5/1/12
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