SCIENTIFIC EVIDENCE

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

Signal transduction and targeted therapy
Pan L, Tan H, Yue T, Ding Y, Gu Z, Wang X, Wang J, Wei T, Zhang X, Shi Y, Chang S, Guo C, Zheng X, Weng J.

Publication Overview

Key findings, Countstar context, and access to the original paper.
2026
Immunology
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Key Finding
Together, these findings provide a molecular framework for understanding age-related T1D endotypes and suggest potential targets for precision intervention. An integrated multi-omics interaction network revealed 665 direct microbiota-gene connections and 2,608 microbiota-metabolite/lipid-gene triadic interactions, highlighting a D. invisus-docosapentaenoic acid (DPA)-STMN1 axis mediating B-cell activation in early-onset T1D.
Countstar Connection
Countstar (model not specified) measured cell numbers in the study's cell samples during quality assessment for the immune-cell research.
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