Integrating machine learning and nontargeted plasma lipidomics to explore lipid characteristics of premetabolic syndrome and metabolic syndrome

Integrating machine learning and nontargeted plasma lipidomics to explore lipid characteristics of premetabolic syndrome and metabolic syndrome

ObjectiveTo identify plasma lipid characteristics associated with premetabolic syndrome (pre-MetS) and metabolic syndrome (MetS) and provide biomarkers through machine learning methods.MethodsPlasma lipidomics profiling was conducted using samples from healthy individuals, pre-MetS patients, and Met...

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Bibliographic Details
Main Authors: Xinfeng Huang, Qing He, Haiping Hu, Huanhuan Shi, Xiaoyang Zhang, Youqiong Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Endocrinology
Subjects:
machine learning
nontargeted lipidomics
premetabolic syndrome
metabolic syndrome
biomarkers
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1335269/full

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https://www.frontiersin.org/articles/10.3389/fendo.2024.1335269/full

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