Evidence map›Paper›PMID 42000857›Full record

ArticleScientific reports2026

Maternal obesity modifies the vertical transmission of gut microbiota and metabolites: Insights from mother-infant dyads in a mexican cohort.

Aparna Krishnakumar, Carmen Josefina Juárez-Castelán, Juan Manuel Vélez-Ixta, Tizziani Benitez-Guerrero, Selvasankar Murugesan, Alberto Piña-Escobedo, Enrique Rico-Arzate, José Javier Castro-Arellano, Silvia Romero-Maldonado, Yair Cruz-Narváez and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

Aparna KrishnakumarDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Carmen Josefina Juárez-CastelánDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Juan Manuel Vélez-IxtaDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Tizziani Benitez-GuerreroDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Selvasankar MurugesanResearch Department, Sidra Medicine, Doha, Qatar.
Alberto Piña-EscobedoDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
Enrique Rico-ArzateLaboratorio de Posgrado e Investigación de Operaciones Unitarias, Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, Ciudad de México, 07738, Mexico.
José Javier Castro-ArellanoLaboratorio de Posgrado e Investigación de Operaciones Unitarias, Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, Ciudad de México, 07738, Mexico.
Silvia Romero-MaldonadoUnidad de Cuidados Intermedios al Recién Nacido, Instituto Nacional de Perinatología, Mexico City, Mexico.
Yair Cruz-NarváezLaboratorio de Posgrado e Investigación de Operaciones Unitarias, Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, Ciudad de México, 07738, Mexico. ycruzn@ipn.mx.
María Luisa Pizano-ZárateDepartamento de Nutrición y Bioprogramación, Instituto Nacional de Perinatología, México City, Mexico. marialuisa.pizano@inper.gob.mx.
Jaime García-MenaDepartamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico. jgmena@cinvestav.mx.

Funding

Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI) CONACyT 163235 INFR-2011-01Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI) CONACyT 302670 INFR-2019Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI) CONACyT FORDECYT-PRONACES/6669/2020_Programa Presupuestario F003-Ciencia de Frontera 2019
6 · The paper itself

Abstract

Maternal obesity is increasingly recognized as an important modulator of early-life microbial and metabolic environments. This study investigates the association between maternal body mass index (BMI) and the microbiota and metabolite profiles of colostrum and neonatal feces in a Mexican mother–infant cohort. Milk and fecal samples were collected from dyads of obese and normal-weight mothers. Bacterial microbiota composition was characterized by sequencing the 16 S rRNA gene (V3 region) using Ion Torrent technology, and metabolomic profiling was performed using Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry. The results provide evidence consistent with vertical microbial and metabolic transmission, with Firmicutes and Patescibacteria predominating in Colostrum. Neonates born to obese mothers exhibited reduced relative abundances of Lactobacillus in neonatal fecal samples, alongside increased levels of Lactobacillus and Staphylococcus in both colostrum and mother´s feces. Overall microbial diversity across maternal stool, colostrum, and neonatal stool samples was not significantly associated with maternal BMI; however, distinct metabolite signatures linked to maternal obesity, like oligopeptides, glycoside-related compounds, Phosphatidic Acid (PA) Derivatives, bioactive molecules such as enkephalinamide derivatives, were observed. These findings highlight the role of breastfeeding as a key interface in shaping the neonatal gut microbiota and metabolome and suggest potential pathways linking maternal metabolic status with early-life microbial and metabolic programming. This study advances understanding of maternal–infant microbial ecology and supports further investigation into the long-term health implications of maternal obesity.

Indexed as

Gastrointestinal MicrobiomeObesityPregnancy in ObesityAdultBody Mass IndexCohort StudiesColostrumFecesFemaleHumansInfant, NewbornMetabolomeMetabolomicsMexicoPregnancyRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA geneFT-ICR MSMaternal ObesityMetabolomeMicrobiota

Identifiers

PMID42000857
PMCPMC13254355

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.