Neonatal Hair Metabolic Signatures of Selective Fetal Growth Restriction in DCDA Twins are Linked to Adverse Neurobehavioral Outcomes at Infancy and Early Childhood.

Authors

You Zhen Zhang, Tian He, Xiao Yu Liu, Xi Ya Sun, Yang Yang, Richard Saffery, Jeffrey M Craig, Na Na Huang, Jin Fang Yuan, Jing Yu Liu, Wen Jun Zhou, Yi Xin Li, Yang Yu Zhao, Ting Li Han, Jing Yang

Published in

Biomedical and environmental sciences : BES. Volume 39. Issue 8. Pages 937-952. Aug 20, 2026.

Abstract

Selective fetal growth restriction (sFGR) in dichorionic-diamniotic (DCDA) twins is associated with the risk of adverse neurodevelopment; however, the underlying metabolic dysregulation remains poorly characterized. We aimed to characterize the neonatal hair metabolome associated with sFGR in DCDA twins and assess its predictive value for long-term neurodevelopment.
Forty-two pairs of DCDA twins were stratified into the sFGR-DCDA (twins with birth weight [BW] discordance) and DCDA-C (twins with BW concordance) groups. Neonatal hair metabolites were profiled using gas chromatography-mass spectrometry (GC-MS). Pathway analysis and machine learning were used to identify metabolic signatures predictive of neurodevelopment, which were assessed using the Ages and Stages Questionnaire (Third Edition) at 2-3 and 5-6 years of age.
The smaller neonates in the sFGR-DCDA group (DCDA-S) showed significant downregulation of cysteine, methionine, glutathione, aminoacyl-tRNA, and nicotinate and nicotinamide metabolism in comparison with the neonates in the DCDA-C group. Reduced glutathione and aminoacyl-tRNA pathway activity correlated with lower problem-solving scores. An exploratory machine learning model incorporating pantothenate and coenzyme A biosynthesis, cysteine and methionine metabolism, and nicotinate and nicotinamide metabolism showed a preliminary discriminatory capacity for low personal-social scores in DCDA-S children at 2-3 years of age.
Neonatal hair metabolomics in DCDA-S children reflect intrauterine disturbances in antioxidant and protein synthesis pathways associated with later neurodevelopmental outcomes, providing a non-invasive window into metabolic programming in sFGR.

PMID:
42687614
Bibliographic data and abstract were imported from PubMed on 03 Sep 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.