LC-MS-based conventional metabolomics combined with machine learning models to identify metabolic markers for the diagnosis of type I diabetes

LC-MS-based conventional metabolomics combined with machine learning models to identify metabolic markers for the diagnosis of type I diabetes

BackgroundChanges in certain metabolites are linked to an increased risk of type I diabetes (T1D), making metabolite analysis a valuable tool for T1D diagnosis and treatment. This study aimed to identify a metabolic signature linked with T1D.MethodsUntargeted metabolomic profiling was performed usin...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhadasi Tuerxunyiming, Qing Zhao, Qiaosheng Hu, Ping Zhu, Shiting Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
type 1 diabetes
metabolomics
LC-MS
metabolic markers
LASSO
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1588718/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items