Evidence map›Paper›PMID 41636850›Full record

Observational studyEuropean journal of pediatrics2026

Association of preterm birth and neonatal metabolism with neurodevelopment at 1 year of age: a prospective cohort study.

Jinghan Wang, Ganchong Liao, Bin Yu, Hong Lv, Tao Jiang, Yanyun Wang, Yuqi Yang, Rui Qin, Tianyu Sun, Xin Xu and 10 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in European journal of 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jinghan Wang *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Ganchong Liao *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Bin Yu *Department of Medical Genetics, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Hong LvState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Tao JiangDepartment of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Yanyun WangDepartment of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuqi YangDepartment of Medical Genetics, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Rui QinState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Tianyu SunState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Xin XuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Shuifang LeiState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Yangqian JiangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Tao JiangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Jiangbo DuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Guangfu JinState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Hongxia MaState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Hongbing ShenState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Zhengfeng XuDepartment of Prenatal Diagnosis, Nanjing Maternity and Child Health Care Hospital, Nanjing Medical University, Nanjing, Jiangsu, China. zhengfengxu@njmu.edu.cn.
Zhibin HuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China. zhibin_hu@njmu.edu.cn.
Yuan LinState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China. yuanlin@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm infants are susceptible to metabolic disruptions due to physiologically immature development, and early metabolic dysregulation may contribute to neurodevelopmental impairments that persist throughout infancy and beyond. This study aims to investigate the associations between preterm birth, neonatal metabolism, and later neurodevelopment, and to explore the potential mediating role of neonatal metabolism. In this prospective birth cohort of 9023 in China, linear regression analyses were employed in discovery and validation sets to identify metabolites associated with preterm birth. Metabolites were then categorized as extremely high (> 90th percentile) or low (< 10th percentile), and their associations with preterm birth were assessed using meta-analysis and logistic regression. Among 2086 infants with neurodevelopmental assessments at 1 year old, we applied restricted cubic splines and linear regression to evaluate associations between extreme metabolite levels and neurodevelopment. Mediation analysis was then performed to assess the potential mediating effects of neonatal metabolism. Preterm birth was associated with extremely low levels of four metabolites and extremely high levels of seven metabolites (e.g., 17-hydroxyprogesterone, alanine, and multiple carnitines/acylcarnitines), indicating perturbed neonatal metabolic profiles. Moreover, extremely high levels of free carnitine (C0) were associated with poorer cognition (β = -0.47; 95% CI -0.75, -0.19) and receptive communication (β = -0.32; 95% CI -0.61, -0.03), with C0 accounting for 10.3% of the relative effect on cognition and 7.2% on receptive communication among preterm infants.

conclusionPreterm infants exhibit metabolic perturbations linked to suboptimal neurodevelopment at 1 year of age, offering compelling evidence for the biological mechanism underlying preterm birth outcomes. WHAT IS KNOWN: • Preterm birth is known to disrupt neonatal metabolism and to adversely affect neurodevelopment, but the underlying biological mechanisms remain controversial. WHAT IS NEW: • Preterm infants are prone to extreme metabolic perturbations, which are associated with subsequent suboptimal neurodevelopmental outcomes. • Free carnitine acted as a potential biomarker of the effects of preterm birth on suboptimal cognition and receptive communication.

Indexed as

Infant, PrematureNeurodevelopmental DisordersPremature BirthBiomarkersCarnitineChinaFemaleHumansInfantInfant, NewbornMaleNeurodevelopmentProspective StudiesBiomarkersCarnitineBirth cohortMediation analysisNeurodevelopmentNewborn screeningPreterm birth

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.