Multi-omics reveals microbiota, metabolite, and immunological heterogeneity of age-related endotypes in type 1 diabetes

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Authors: Lanxin Pan, Huiling Tan, Tong Yue, Yu Ding, Gu Zz, Xulin Wang, Yi-Xiang Wang, Tian Wei, Xi Zhang, Yu Shi, ShiRu Chang, Chuang Guo
+2 more Xueying Zheng, Jianping Weng
Cited by: 1
References: 54

Abstract

Type 1 diabetes (T1D) exhibits age-related heterogeneity in clinical progression and immune pathology, yet the underlying molecular mechanisms remain poorly understood. Here, we integrate microbiome, metabolome, lipidome, and transcriptome profiling from 108 newly diagnosed pediatric patients with T1D, along with 56 healthy controls, to investigate age-related endotypes. Patients were stratified into early-onset (E-T1D,

Fields of Study & Subjects

Diabetes and associated disorders Gut microbiota and health Diabetes Management and Research

Publication details

Journal / source
Signal Transduction and Targeted Therapy
Publisher
Springer Science and Business Media LLC
Volume
11
Issue
1
Publication date
15 June 2026
Language
EN