Metabolomics and Lipidomics Studies in Pediatric Type 1 Diabetes: Biomarker Discovery for the Early Diagnosis and Prognosis
Authors' conclusion
The metabolic profile of high-risk T1D subjects and patients demonstrated significant changes compared with healthy controls. This integrated analysis provides a comprehensive overview of metabolic features and potential biomarkers in the pathogenesis and progression of T1D.
Study context
- Population
- Children with islet autoantibodies, progressors to T1D, and children with T1D; studies of childhood T1D during the last 15 years18 studies
- Outcome
- Metabolic fingerprints (41 lipids and/or metabolite classes) in pediatric T1D
Methodological detailstentative effect-score rule, pathway analysis
- Tentative effect-score rule
- Pathway analysis
Main finding
As reported in the abstract
- From birth, high-risk T1D subjects had decreased unsaturated triacylglycerols, unsaturated phosphatidylcholines (PCs), SMs, amino acids and tricarboxylic acid (TCA) cycle metabolites; Lysophosphatidylcholines (LPCs) and monosaccharides increased
- LPCs and branched-chain amino acids (BCAAs) elevated before islet autoantibodies appeared, lowered after seroconversion
- Choline-related lipids (PCs, SMs, LPCs), BCAAs and TCA cycle metabolites identified as consensus biomarkers potentially predicting islet autoimmunity and T1D
- Decreased LPCs and amino acids indicated poor glycemic control; elevated lysophosphatidylethanolamines and saturated PCs implied good glycemic control
- Pathway analysis: aminoacyl-tRNA biosynthesis, BCAAs, and alanine, aspartate and glutamate metabolism significantly enriched
Original publication
Metabolomics and Lipidomics Studies in Pediatric Type 1 Diabetes: Biomarker Discovery for the Early Diagnosis and Prognosis. Pediatr Diabetes. Published 13 July 2023. doi:10.
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