Evidence map›Paper›PMID 36432504›Full record

ArticleNutrients2022

Gut Microbiota Associated with Gestational Health Conditions in a Sample of Mexican Women.

Tizziani Benítez-Guerrero, Juan Manuel Vélez-Ixta, Carmen Josefina Juárez-Castelán, Karina Corona-Cervantes, Alberto Piña-Escobedo, Helga Martínez-Corona, Amapola De Sales-Millán, Yair Cruz-Narváez, Carlos Yamel Gómez-Cruz, Tito Ramírez-Lozada and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Toxins · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Scoping Review of Microbiota Dysbiosis and Risk of Preeclampsia.American journal of reproductive immunology (New York, N.Y. : 1989) · 2024
    Article
  8. Article
  9. Review
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

14 authors at 2 institutions in 1 country.

Tizziani Benítez-GuerreroDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.
Juan Manuel Vélez-IxtaDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.ORCID 0000-0002-5713-0776
Carmen Josefina Juárez-CastelánDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.ORCID 0000-0002-8860-1702
Karina Corona-CervantesDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.ORCID 0000-0003-1370-9601
Alberto Piña-EscobedoDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.
Helga Martínez-CoronaDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.
Amapola De Sales-MillánDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.ORCID 0000-0002-2527-8055
Yair Cruz-NarváezLaboratorio de Posgrado de Operaciones Unitarias, Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, Ciudad de México 07738, Mexico.
Carlos Yamel Gómez-CruzLaboratorio de Posgrado de Operaciones Unitarias, Escuela Superior de Ingeniería Química e Industrias Extractivas, Instituto Politécnico Nacional, Ciudad de México 07738, Mexico.
Tito Ramírez-LozadaUnidad de Ginecología y Obstetricia, Hospital Regional de Alta Especialidad de Ixtapaluca, Carretera Federal México-Puebla Km. 34.5, Col. Zoquiapan, Ixtapaluca 56530, Mexico.ORCID 0000-0003-0729-0031
Gustavo Acosta-AltamiranoDirección de Planeación, Enseñanza e Investigación, Hospital Regional de Alta Especialidad de Ixtapaluca, Carretera Federal México-Puebla Km. 34.5, Col. Zoquiapan, Ixtapaluca 56530, Mexico.
Mónica Sierra-MartínezUnidad de Investigación en Salud, Hospital Regional de Alta Especialidad de Ixtapaluca, Carretera Federal México-Puebla Km. 34.5, Col. Zoquiapan, Ixtapaluca 56530, Mexico.
Paola Berenice Zárate-SeguraLaboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Ciudad de México 11340, Mexico.
Jaime García-MenaDepartamento de Genética y Biología Molecular, Cinvestav, Av. Instituto Politécnico Nacional 2508, Ciudad de México 07360, Mexico.ORCID 0000-0002-0595-3711
Instituto Politécnico Nacional · MXHospital Regional de Alta Especialidad del Bajío · MX

Funding

Consejo Nacional de Ciencia y Tecnología CONACyT-163235 INFR-2011-01Consejo Nacional de Ciencia y Tecnología CONACyT-302670-2019-Apoyos para Adquisición y Mantenimiento de Infraestructura en Insti-tuciones y laboratorios de Investigación Especializada.Secretaría de Ciencia, Tecnología e Innovación de la CDMX SECTEI/249/2019-CM-SECTEI/109/2020-CM-SECTEI/124/2021, Convocatoria 2019, Proyectos Científicos, Tecnológicos y/o de Innovación para la atención a problemas específicos de la Ciudad de México relacionados con la investigación y atención de enfermedades cr
6 · The paper itself

Abstract

Gestational diabetes (GD), pre-gestational diabetes (PD), and pre-eclampsia (PE) are morbidities affecting gestational health which have been associated with dysbiosis of the mother's gut microbiota. This study aimed to assess the extent of change in the gut microbiota diversity, short-chain fatty acids (SCFA) production, and fecal metabolites profile in a sample of Mexican women affected by these disorders. Fecal samples were collected from women with GD, PD, or PE in the third trimester of pregnancy, along with clinical and biochemical data. Gut microbiota was characterized by high-throughput DNA sequencing of V3-16S rRNA gene libraries; SCFA and metabolites were measured by High-Pressure Liquid Chromatography (HPLC) and (Fourier Transform Ion Cyclotron Mass Spectrometry (FT-ICR MS), respectively, in extracts prepared from feces. Although the results for fecal microbiota did not show statistically significant differences in alfa diversity for GD, PD, and PE concerning controls, there was a difference in beta diversity for GD versus CO, and a high abundance of Proteobacteria, followed by Firmicutes and Bacteroidota among gestational health conditions. DESeq2 analysis revealed bacterial genera associated with each health condition; the Spearman's correlation analyses showed selected anthropometric, biochemical, dietary, and SCFA metadata associated with specific bacterial abundances, and although the HPLC did not show relevant differences in SCFA content among the studied groups, FT-ICR MS disclosed the presence of interesting metabolites of complex phenolic, valeric, arachidic, and caprylic acid nature. The major conclusion of our work is that GD, PD, and PE are associated with fecal bacterial microbiota profiles, with distinct predictive metagenomes.

Indexed as

Diabetes, GestationalGastrointestinal MicrobiomePre-EclampsiaBacteriaDysbiosisFatty Acids, VolatileFecesFemaleHumansPregnancyRNA, Ribosomal, 16SFatty Acids, VolatileRNA, Ribosomal, 16SBruker Solarix XRfecal microbiotaFT ICR MSgestational diabetesgut microbiotahigh-throughput DNA sequencingmother fecespre-eclampsiapre-gestational diabetes

Identifiers

PMID36432504
PMCPMC9696207
OpenAlexW4309306352

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.