Evidence map›Paper›PMID 40234718›Full record

ArticlePediatric research2025

Environmental and genetic risk factors for preterm birth: interplays with stressful events during pregnancy.

Silvina L Heisecke, María R Santos, Mercedes Negri Malbrán, Hugo Kupitzki, Susana M Mosca, María L Ribeiro, Gustavo Leguizamon, Jorge S López Camelo, Lucas G Gimenez

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Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Silvina L HeiseckeDirección de Investigación, Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
María R SantosCentro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), sede San Isidro, Buenos Aires, Argentina.
Mercedes Negri MalbránDirección de Investigación, Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Hugo KupitzkiDirección de Investigación, Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Susana M MoscaCentro de Investigaciones Cardiovasculares "Dr. Horacio E. Cingolani" (CCT-La Plata-CONICET), La Plata, Argentina.
María L RibeiroLaboratorio de Fisiología y Farmacología de la Reproducción, Centro de Estudios Farmacológicos y Botánicos (CEFYBO), CONICET-UBA, Ciudad Autónoma de Buenos Aires, Argentina.
Gustavo LeguizamonDepartamento de Ginecología y Obstetricia, Unidad de Embarazo de Alto Riesgo, Centro de Educación Médica e Investigaciones Clínicas (CEMIC), Ciudad Autónoma de Buenos Aires, Argentina.
Jorge S López CameloEstudio Colaborativo Latino Americano de Malformaciones Congénitas (ECLAMC), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina.
Lucas G GimenezEstudio Colaborativo Latino Americano de Malformaciones Congénitas (ECLAMC), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas y Técnicas (CEMIC-CONICET), Ciudad Autónoma de Buenos Aires, Argentina. gimenezlucasgabriel@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm birth (PTB) etiology remains poorly understood. Our aim was to investigate the relation of environmental factors and specific gene polymorphisms involved in PTB in the context of stressful life events during pregnancy.

methodsParental sociodemographic and obstetric data as well as genetic variants of 1263 preterm newborns were analyzed. Logistic regressions were used to identify shared environmental and genetic risk factors for PTB and stressful life events. A Lasso Ridge logistic regression with cross-validation was used to select the best predictors of maternal stress. Associations were evidenced through Bayesian networks.

resultsStarting from a great number of variables, our model was processed and reduced until it allowed to visualize only two environmental factors (alcohol intake and chronic hypertension) along with three SNPs rs66911171 (CR1), rs854552 (PON1), rs4966038 (IGF1R) and two interactions rs854552 x rs4966038 (PON1xIGFR1) and rs5742612 x rs1942386 (IGF1xPGR) related to PTB and maternal stress.

conclusionMachine learning techniques allow us to identify two environmental factors, three genetic markers, and two interactions related to PTB in the context of stressful life events. Findings of this exploratory study contribute to the understanding of the complex pathways relating maternal stress and PTB. IMPACT: An analysis of environmental factors and preterm birth specific gene polymorphisms in the context of stressful life events during pregnancy is presented. Alcohol intake and chronic hypertension along with SNPs of CR1, PON1, IGF1R and two interactions PON1xIGFR1 and IGF1xPGR are shown as related to preterm birth in the context of stressful life events. This research could help in developing targeted interventions and preventive strategies for at-risk populations. The study emphasizes the potential of machine learning to interpret biological and social interactions affecting health outcomes.

Indexed as

Gene-Environment InteractionPremature BirthStress, PsychologicalAdultAlcohol DrinkingAryldialkylphosphataseBayes TheoremFemaleGenetic Predisposition to DiseaseHumansInfant, NewbornLife Change EventsMachine LearningMalePolymorphism, Single NucleotidePregnancyAryldialkylphosphatasePON1 protein, human

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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.