Back

Investigating the association between maternal infection and inflammation and child autistic traits in a large population based cohort study

Gigase, F. A. J.; Zarchev, M.; Muetzel, R. L.; Cecil, C. A. M.; Ospina, L.; Hillegers, M. H. J.; Birnbaum, R.; de Witte, L.; Bergink, V.

2025-09-12 psychiatry and clinical psychology
10.1101/2025.09.11.25335326
Show abstract

ObjectiveMaternal immune activation during pregnancy has been proposed as a mechanism linking prenatal inflammatory exposures to autism pathogenesis. While preclinical and epidemiological studies suggest a role for maternal inflammation and infection, findings in population-based cohorts are inconsistent. This study examined the associations between multiple prenatal inflammatory exposures and autistic traits, accounting for gene-environment interactions in the general pediatric population. MethodsWe leveraged data from 5,075 mother-child dyads participating in Generation R, a population-based pregnancy cohort in the Netherlands. Prenatal inflammatory exposures included 1) maternal serum cytokines; 2) high-sensitivity CRP; 3) self-reported fever during pregnancy; 4) a maternal polygenic score for CRP; and 5) a methylation profile score of CRP in cord blood. Child autistic traits were measured with the Social Responsiveness Scale at mean ages 6 and 13 years. Linear mixed models were applied to estimate associations adjusted for maternal, child and technical covariates. Interaction terms tested whether child polygenic score for autism moderated associations. ResultsNo significant associations were observed between prenatal inflammatory exposures and autistic traits, both as a continuous measure and above a clinical threshold. No evidence was found for interactions between prenatal inflammatory exposures and the child polygenic score for autism in influencing autistic traits. ConclusionOur findings suggest that typical fluctuations in maternal inflammation are unlikely to represent a major pathway linking prenatal environment to autism risk. We found no evidence that gene-environment interactions conferred additional risk for autistic traits.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Molecular Autism
based on 11 papers
Top 0.1%
15.9%
2
Translational Psychiatry
based on 94 papers
Top 0.9%
13.0%
3
Psychological Medicine
based on 52 papers
Top 1.0%
7.8%
4
Molecular Psychiatry
based on 84 papers
Top 1.0%
6.6%
5
Biological Psychiatry Global Open Science
based on 23 papers
Top 0.2%
4.7%
6
European Child & Adolescent Psychiatry
based on 14 papers
Top 0.6%
3.1%
50% of probability mass above
7
Brain, Behavior, and Immunity
based on 35 papers
Top 0.6%
3.1%
8
Journal of Child Psychology and Psychiatry
based on 18 papers
Top 0.4%
3.1%
9
Nature Communications
based on 483 papers
Top 20%
3.1%
10
Autism Research
based on 14 papers
Top 0.4%
2.9%
11
Journal of Autism and Developmental Disorders
based on 11 papers
Top 0.4%
2.9%
12
Scientific Reports
based on 701 papers
Top 53%
2.9%
13
PLOS ONE
based on 1737 papers
Top 82%
2.5%
14
Biological Psychiatry
based on 36 papers
Top 2%
2.5%
15
The British Journal of Psychiatry
based on 21 papers
Top 2%
1.8%
16
American Journal of Psychiatry
based on 14 papers
Top 0.9%
1.4%
17
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
based on 27 papers
Top 2%
1.4%
18
Schizophrenia Bulletin
based on 21 papers
Top 2%
1.2%
19
Journal of Neurology, Neurosurgery & Psychiatry
based on 26 papers
Top 5%
0.8%
20
BMC Medicine
based on 155 papers
Top 20%
0.8%
21
Nature Genetics
based on 72 papers
Top 8%
0.8%
22
Neuroscience & Biobehavioral Reviews
based on 19 papers
Top 4%
0.7%
23
Nature Medicine
based on 88 papers
Top 18%
0.7%
24
NeuroImage: Clinical
based on 77 papers
Top 8%
0.7%