Large-scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children: an exploratory study.
J Child Psychol Psychiatry
; 65(8): 1098-1107, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-38287782
ABSTRACT
BACKGROUND:
Understanding the prenatal origins of children's psychopathology is a fundamental goal in developmental and clinical science. Recent research suggests that inflammation during pregnancy can trigger a cascade of fetal programming changes that contribute to vulnerability for the emergence of psychopathology. Most studies, however, have focused on a handful of proinflammatory cytokines and have not explored a range of prenatal biological pathways that may be involved in increasing postnatal risk for emotional and behavioral difficulties.METHODS:
Using extreme gradient boosted machine learning models, we explored large-scale proteomics, considering over 1,000 proteins from first trimester blood samples, to predict behavior in early childhood. Mothers reported on their 3- to 5-year-old children's (N = 89, 51% female) temperament (Child Behavior Questionnaire) and psychopathology (Child Behavior Checklist).RESULTS:
We found that machine learning models of prenatal proteomics predict 5%-10% of the variance in children's sadness, perceptual sensitivity, attention problems, and emotional reactivity. Enrichment analyses identified immune function, nervous system development, and cell signaling pathways as being particularly important in predicting children's outcomes.CONCLUSIONS:
Our findings, though exploratory, suggest processes in early pregnancy that are related to functioning in early childhood. Predictive features included far more proteins than have been considered in prior work. Specifically, proteins implicated in inflammation, in the development of the central nervous system, and in key cell-signaling pathways were enriched in relation to child temperament and psychopathology measures.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Primeiro Trimestre da Gravidez
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Temperamento
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Proteômica
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Aprendizado de Máquina
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Child, preschool
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Female
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Humans
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Male
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Pregnancy
Idioma:
En
Revista:
J Child Psychol Psychiatry
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos