Evidence map›Paper›PMID 40770336›Full record

ArticleBMC medicine2025

Maternal oxidative stress throughout pregnancy and early childhood neurodevelopment at different stages: insights from a prospective cohort study.

Sen He, Jingyu Wang, Shuting Cao, Aizhen Wang, Yuyan Wang, Pei Li, Xiuli Cao, Rongrong Cheng, Ruixin Chen, Yin Wang and 8 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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

18 authors.

Sen He *Department of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China.
Jingyu Wang *Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Shuting Cao *Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Aizhen WangKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Yuyan WangDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Pei LiDepartment of Physiology and Biophysics, University of New York at Buffalo, New York, NY, USA.
Xiuli CaoKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Rongrong ChengKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Ruixin ChenKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Yin WangKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Fei YangThe Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, School of Public Health, Hengyang Medical School, University of South China, Hengyang, 421001, China.
Yuehao FuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Yang PengDepartment of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Han LiDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Wei XiaKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Zhiqiang ZhuDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China.
Hongxiu LiuDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China. lhx@hust.edu.cn.
Shunqing XuDepartment of Environmental Health, School of Environmental Science and Engineering, Hainan University, Haikou, 570228, China. xus@hainanu.edu.cn.

Funding

Collaborative Innovation Center of One Health, Hainan University XTCX2022JKA02Innovation Fund for Scientific and Technological Personnel of Hainan Province KJRC2023B02National Natural Science Foundation of China 42477463,22236001, 22006046, 21437002, 81402649, 91643207 and 42167061
6 · The paper itself

Abstract

backgroundMaternal oxidative stress during pregnancy plays a role as a hazardous factor of offspring neurodevelopment in animal models. However, epidemiological evidence remains limited. In this prospective cohort, we aimed to investigate the associations between maternal oxidative stress biomarkers (OSBs) across pregnancy and neurodevelopmental outcomes in different stages across early childhood.

methodsThis was a prospective cohort study conducted in 1791 mother-child pairs from Wuhan, China. Three OSBs, including DNA oxidative damage marker (8-hydroxy-2'-deoxyguanosine, 8-OHdG), RNA oxidative damage marker (8-hydroxyguanosine, 8-OHG) and lipid oxidative damage marker (4-hydroxy nonenal mercapturic acid, HNE-MA), were measured in repeatedly collected urine samples in three trimesters across pregnancy. We followed children at age 2, age 3, and age 6 years. At age 2 years, the Bayley Scales of Infant Development of China Revision (BSID-CR) was employed to assess children's mental and psychomotor development. Brain-derived neurotrophic factor (BDNF) levels were measured in children's plasma at age 3 years. The Wechsler Preschool and Primary Scale-Fourth Edition (WPPSI-IV) was used to assess children's intelligence quotients at ages 6 years. Generalized estimating equation models were applied to estimate the associations between OSBs and neurodevelopmental outcomes.

resultsHigher maternal HNE-MA levels in late pregnancy were associated with lower mental development index at age 2 years (β =  - 0.95, 95% confidence interval (CI): - 1.78, - 0.11). Elevated early pregnancy HNE-MA levels were associated with decreased BDNF levels at age 3 years (β =  - 0.07, 95% CI: - 0.13, - 0.01). Each one-unit increase in natural log-transformed concentrations of 8-OHdG and 8-OHG in mid pregnancy was associated with a decrease in full-scale intelligence quotient at age 6 years by 1.55 points (95% CI: - 2.84, - 0.26) and 1.89 points (95% CI: - 3.30, - 0.49), respectively.

conclusionsThis study suggested that higher levels of OSBs in each trimester of pregnancy might be a risk factor of consistently suboptimal neurodevelopment across early childhood. This finding provides new epidemiological data on the linkages of oxidative stress across pregnancy to child neurodevelopment and gives clues to the possible sensitive windows.

Indexed as

Child DevelopmentOxidative StressPrenatal Exposure Delayed EffectsAdultBiomarkersChildChild, PreschoolChinaFemaleHumansMalePregnancyProspective StudiesBiomarkersBirth cohortChildrenIntelligence quotientNeurodevelopmentOxidative stress

Identifiers

PMID40770336
PMCPMC12329944

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.