Evidence map›Paper›PMID 42146933›Full record

ArticleFrontiers in pediatrics2026

Metabolic maturity patterns in neonates: dissecting the interactive effects of gestational age and birth weight on metabolic profiles.

Hua Tang, Yanqiong Ma, Ying Zhou, Huiming Yan, Huiping Zhang

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Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Hua Tang *Department of Medical Genetics, Hunan Province Maternal and Child Health Hospital, Changsha, China.
Yanqiong Ma *NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China.
Ying ZhouDepartment of Medical Genetics, Hunan Province Maternal and Child Health Hospital, Changsha, China.
Huiming YanDepartment of Medical Genetics, Hunan Province Maternal and Child Health Hospital, Changsha, China.
Huiping ZhangDepartment of Medical Genetics, Hunan Province Maternal and Child Health Hospital, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Newborn screening (NBS) based on tandem mass spectrometry (MS/MS) is essential for the early identification of inherited metabolic disorders. However, physiological immaturity in preterm and low-birth-weight (LBW) infants frequently alters metabolite concentrations, thereby increasing the risk of false-positive results. Objective: This study aimed to clarify the independent and interactive effects of gestational age (GA) and birth weight (BW) on neonatal amino acid and acylcarnitine profiles, with the goal of improving screening precision in vulnerable populations. Methods: We conducted a retrospective analysis of 147,643 neonates screened in Hunan Province, China. The cohort was stratified into seven GA groups and five BW groups. One-way and two-way analyses of variance (ANOVA), together with principal component analysis (PCA), were used to characterize main effects, interaction effects, and global metabolic clustering. Results: Metabolic profiles followed distinct developmental trajectories. Preterm infants (<37 weeks) showed significantly elevated amino acid concentrations (e.g., tyrosine and arginine) but relative attenuation of long-chain acylcarnitine levels, suggesting an altered balance between protein turnover and fatty acid oxidation. Importantly, significant GA × BW interactions were detected for multiple markers, indicating that the metabolic impact of birth weight varied according to gestational maturity. Conclusion: Neonatal metabolic maturity is shaped by the synergistic interplay between intrauterine duration and fetal growth. The characteristic "high amino acid/low long-chain acylcarnitine" pattern observed in preterm infants, especially in those with lower birth weight, supports the need for individualized reference intervals in newborn screening.

Indexed as

interaction effectsmetabolic maturationnewborn screeningreference intervalstandem mass spectrometry

Identifiers

PMID42146933
PMCPMC13176239

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