Amino Acid Profiles Distinguish Glycemic Phenotypes in Childhood and Predict 10-Year Risk of Dysglycemia in Young Adults: The BCAMS Study.

Authors

Mengyu He, Yu Li, Xinghao Yi, Danyang Li, Siyu Wu, Haoxue Zhu, Jing Guo, Jinjin Tian, Ming Li, Shan Gao

Published in

Diabetes. Oct 19, 2026. Epub Oct 19, 2026.

Abstract

Prospective evidence linking childhood amino acid (AA) dysregulation with future diabetes risk remains limited. We examined whether AA profiles distinguished childhood glycemic phenotypes and predicted dysglycemia risk in the Beijing Children and Adolescents Metabolic Syndrome (BCAMS) cohort. AA alterations were already detectable in children with normoglycemia and insulin resistance; six AAs were associated with 10-year dysglycemia risk, and their addition to clinical variables improved prediction. Ile showed the largest estimated indirect association with incident dysglycemia through follow-up insulin resistance; dietary Ile restriction in obese mice produced concordant metabolic changes, supporting AA profiling for early risk identification and Ile as a candidate modifiable target.

PMID:
42895436
Bibliographic data and abstract were imported from PubMed on 19 Oct 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.