Evidence map›Paper›PMID 39443733›Full record

ArticleMolecular psychiatry2025

Maternal dysbiosis produces long-lasting behavioral changes in offspring.

Jacob Hudobenko, Claudia M Di Gesù, Patrick R Mooz, Joseph Petrosino, Nagireddy Putluri, Bhanu P Ganesh, Kristen Rebeles, Frank W Blixt, Venugopal R Venna, Louise D McCullough

Abstract read
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Jacob HudobenkoDepartment of Neuroscience, University of Connecticut School of Medicine, Farmington, CT, USA.ORCID 0000-0001-9064-4149
Claudia M Di GesùCenter for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-1651-4693
Patrick R MoozDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA.
Joseph PetrosinoAlkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology & Microbiology, Baylor College of Medicine, Houston, TX, USA.
Nagireddy PutluriDan L. Duncan Comprehensive Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Bhanu P GaneshDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA.
Kristen RebelesDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA.
Frank W BlixtDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA.
Venugopal R VennaDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA.ORCID 0000-0002-7977-4281
Louise D McCulloughDepartment of Neurology, McGovern Medical School at University of Texas Health Science Center Houston, Houston, TX, USA. Louise.D.McCullough@uth.tmc.edu.ORCID 0000-0002-8050-1686

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Sex Differences in Inflammation Across the LifespanR35NS132265 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Louise D. McCullough · 2023 to 2026
$4.5M
Dynamic Non-Neuronal Interactions between the Gut Microbiota and the Brain in Aging and in Cerebral Amyloid AngiopathyRF1AG058463 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BRYAN, ROBERT M, MCCULLOUGH, LOUISE D. · 2017 to 2017
$3.7M
Reversing Age Related InflammationR01NS094543 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCCULLOUGH, LOUISE D. · 2016 to 2020
$2.8M
NCI NIH HHS P30 CA125123NIA NIH HHS RF1 AG058463NINDS NIH HHS R01 NS094543NINDS NIH HHS R35 NS132265
6 · The paper itself

Abstract

Advanced maternal age (AMA) is defined as a pregnancy in a woman older than 35 years of age. AMA increases the risk for both maternal and neonatal complications, including miscarriage and stillbirth. AMA has also been linked to neurodevelopmental and neuropsychiatric disorders in the offspring. Recent studies have found that age-associated compositional shifts in the gut microbiota contribute to altered microbial metabolism and enhanced inflammation in the host. We investigated the specific contribution of the maternal microbiome on pregnancy outcomes and offspring behavior by recolonizing young female mice with aged female microbiome prior to pregnancy. We discovered that pre-pregnancy colonization of young dams with microbiome from aged female donors significantly increased fetal loss. There were significant differences in the composition of the gut microbiome in pups born from dams recolonized with aged female biome that persisted through middle age. Offspring born from dams colonized with aged microbiome also had significant changes in levels of neurotransmitters and metabolites in the blood and the brain. Adult offspring from dams colonized with an aged microbiome displayed persistent depressive- and anxiety-like phenotypes. Collectively, these results demonstrate that age-related changes in the composition of the maternal gut microbiome contribute to chronic alterations in the behavior and physiology of offspring. This work highlights the potential of microbiome-targeted approaches, even prior to birth, may reduce the risk of neuropsychiatric disorders.

Indexed as

DysbiosisAnimalsAnimals, NewbornAnxietyBehavior, AnimalBrainDepressionFemaleGastrointestinal MicrobiomeMaleMiceMice, Inbred C57BLPregnancyPrenatal Exposure Delayed Effects

Identifiers

PMID39443733
PMCPMC12014497

What OpenQuestion holds

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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 OpenQuestion graph.