Evidence map›Paper›PMID 34934118›Full record

ArticleScientific reports2021

Differential analysis of the bacterial community in colostrum samples from women with gestational diabetes mellitus and obesity.

J S Gámez-Valdez, J F García-Mazcorro, A H Montoya-Rincón, D L Rodríguez-Reyes, G Jiménez-Blanco, M T Alanís Rodríguez, R Pérez-Cabeza de Vaca, M R Alcorta-García, M Brunck, V J Lara-Díaz and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

J S Gámez-ValdezTecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México.
J F García-MazcorroResearch and Development, MNA de México, San Nicolás de los Garza, NL, México.
A H Montoya-RincónTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
D L Rodríguez-ReyesTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
G Jiménez-BlancoTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
M T Alanís RodríguezTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
R Pérez-Cabeza de VacaCoordinación de Investigación y División de Investigación Biomédica, C.M.N. "20 de Noviembre", ISSSTE, Ciudad de México, México.
M R Alcorta-GarcíaTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
M BrunckTecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México.
V J Lara-DíazTecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México.
C Licona-CassaniTecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México. clicona@tec.mx.
Tecnológico de Monterrey · MXInstitute for Social Security and Services for State Workers · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational Diabetes Mellitus (GDM) and obesity affect the functioning of multiple maternal systems and influence colonization of the newborn gastrointestinal through the breastmilk microbiota (BMM). It is currently unclear how GDM and obesity affect the human BMM composition. Here, we applied 16S-rRNA high-throughput sequencing to human colostrum milk to characterize BMM taxonomic changes in a cohort of 43 individuals classified in six subgroups according to mothers patho-physiological conditions (healthy control (n = 18), GDM (n = 13), or obesity (n = 12)) and newborn gender. Using various diversity indicators, including Shannon/Faith phylogenetic index and UniFrac/robust Aitchison distances, we evidenced that BMM composition was influenced by the infant gender in the obesity subgroup. In addition, the GDM group presented higher microbial diversity compared to the control group. Staphylococcus, Corynebacterium 1, Anaerococcus and Prevotella were overrepresented in colostrum from women with either obesity or GDM, compared to control samples. Finally, Rhodobacteraceae was distinct for GDM and 5 families (Bdellovibrionaceae, Halomonadaceae, Shewanellaceae, Saccharimonadales and Vibrionaceae) were distinct for obesity subgroups with an absolute effect size greater than 1 and a q-value ≤ 0.05. This study represents the first effort to describe the impact of maternal GDM and obesity on BMM.

Indexed as

Gastrointestinal MicrobiomeAdultBacteriaBody Mass IndexColostrumDiabetes, GestationalFemaleGastrointestinal TractHumansInfant, NewbornMilk, HumanObesityPhylogenyPregnancy

Identifiers

PMID34934118
PMCPMC8692321
OpenAlexW4200283073

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.