Evidence map›Paper›PMID 39101464›Full record

ArticleAmerican journal of biological anthropology2024

Associations of maternal stress, gene expression, and newborn birthweight in the Democratic Republic of Congo.

Chu J Hsiao, Edward B Quinn, Felicien M Maisha, Lisa D Nevell, Connie J Mulligan

Abstract read
In one paragraph

Article in American journal of biological anthropology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chu J HsiaoDepartment of Anthropology, University of Florida, Gainesville, FL 32608.
Edward B QuinnDepartment of Anthropology, University of Florida, Gainesville, FL 32608.
Felicien M MaishaDepartment of Anthropology, University of Florida, Gainesville, FL 32608.
Lisa D NevellDepartment of Anthropology, University of Florida, Gainesville, FL 32608.
Connie J MulliganDepartment of Anthropology, University of Florida, Gainesville, FL 32608.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
Together: Transforming and Translating Discovery to Improve HealthTL1TR001428 · NCATS · UNIVERSITY OF FLORIDA · PI MCCORMACK, WAYNE T. · 2015 to 2023
$3.9M
Biocultural investigation of maternal adversity on gene expression and DNA methylation in the placentaF30HD097935 · NICHD · UNIVERSITY OF FLORIDA · PI HSIAO, CHU · 2019 to 2023
$227k
NCATS NIH HHS KL2 TR001429NCATS NIH HHS TL1 TR001428NCATS NIH HHS UL1 TR001427NICHD NIH HHS F30 HD097935
6 · The paper itself

Abstract

Objectives: Maternal stress has long been associated with lower birthweight, which is associated with adverse health outcomes including many adult diseases. The underlying mechanisms remain elusive although changes in gene expression may play a role. Studies are only beginning to test how maternal stress impacts gene expression as reflected in the transcriptome. Materials and Methods: In a cohort of mothers and newborns in the eastern Democratic Republic of Congo (n=93), we studied the effects of four maternal stress measures (chronic stress, war trauma, sexual trauma, and general trauma) on the transcriptomes of maternal venous blood, newborn venous blood, and placental tissues, and on newborn birthweight. Maternal stress was investigated as independent measures, principal components, and clusters identified through machine learning. The transcriptome was assayed using the ClariomD chip. Multiple regression models were used to test for associations between maternal stress measures, the transcriptome, and newborn birthweight. Results: None of the maternal stress measures showed an association with expression of individual genes. In contrast, when testing global gene expression, war trauma was significantly associated with the placental transcriptome. War trauma was also significantly associated with birthweight in multiple models. Mediation analysis indicated that ~14% of the effect of war trauma on birthweight was mediated by a placental gene expression component. Discussion: Our results suggest that gene expression in the placenta, which represents the interface between mother and developing fetus, may partially mediate the negative impact of maternal stress on newborn birthweight.

Indexed as

Birth WeightAdultDemocratic Republic of the CongoFemaleGene ExpressionHumansInfant, NewbornPlacentaPregnancyStress, PsychologicalTranscriptomeYoung Adultbirth weightMaternal stressplacentatranscriptomewar trauma

Identifiers

PMID39101464
PMCPMC11292139

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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.