Evidence map›Paper›PMID 38474283›Full record

ReviewInternational journal of molecular sciences2024

Gestational Weight Gain: Is the Role of Genetic Variants a Determinant? A Review.

Reyna Sámano, Hugo Martínez-Rojano, Gabriela Chico-Barba, Ricardo Gamboa, María Eugenia Mendoza-Flores, Francisco Javier Robles-Alarcón, Itzel Pérez-Martínez, Irma Eloisa Monroy-Muñoz

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Role ofInternational journal of molecular sciences · 2026
    Article
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

8 authors at 5 institutions in 1 country.

Reyna SámanoCoordinación de Nutrición y Bioprogramación, Instituto Nacional de Perinatología, Secretaría de Salud, Mexico City 11000, Mexico.ORCID 0000-0001-5490-1363
Hugo Martínez-RojanoSección de Posgrado e Investigación de la Escuela Superior de Medicina del Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-5301-9878
Gabriela Chico-BarbaCoordinación de Nutrición y Bioprogramación, Instituto Nacional de Perinatología, Secretaría de Salud, Mexico City 11000, Mexico.ORCID 0000-0002-5741-0241
Ricardo GamboaDepartamento de Fisiología, Instituto Nacional de Cardiología "Ignacio Chávez", Mexico City 14080, Mexico.ORCID 0000-0001-9102-4240
María Eugenia Mendoza-FloresCoordinación de Nutrición y Bioprogramación, Instituto Nacional de Perinatología, Secretaría de Salud, Mexico City 11000, Mexico.
Francisco Javier Robles-AlarcónFacultad de Nutrición, Universidad Autónoma del Estado de Morelos, Cuernavaca 62350, Mexico.
Itzel Pérez-MartínezFacultad de Nutrición, Universidad Autónoma del Estado de Morelos, Cuernavaca 62350, Mexico.
Irma Eloisa Monroy-MuñozDepartamento de Investigación Clínica en Salud Reproductiva y Perinatal, Instituto Nacional de Perinatología, Secretaría de Salud, Mexico City 11000, Mexico.ORCID 0000-0001-8737-8935
Instituto Nacional de Perinatología · MXUniversidad Autónoma del Estado de Morelos · MXInstituto Nacional de Cardiología · MXInstituto Politécnico Nacional · MXUniversidad Autónoma Metropolitana · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive or insufficient gestational weight gain (GWG) leads to diverse adverse maternal and neonatal outcomes. There is evidence that pregestational body mass index (pBMI) plays a role in GWG, but no genetic cause has been identified. In this review, we aim to analyze genotype variants associated with GWG. Results: We identified seven genotype variants that may be involved in GWG regulation that were analyzed in studies carried out in Brazil, Romania, the USA, Turkey, Ukraine, and Canada. Some genetic variants were only associated with GWG in certain races or depending on the pBMI. In women who were obese or overweight before gestation, some genetic variants were associated with GWG. Environmental and genetic factors together showed a greater association with GWG than genetic factors alone; for example, type of diet was observed to have a significant influence. Conclusions: We found little scientific evidence of an association between genotype variants in countries with a high prevalence of women of reproductive age who are overweight and obese, such as in Latin America. GWG may be more dependent on environmental factors than genetic variants. We suggest a deeper study of genetic variants, cytokines, and their possible association with GWG, always with the respective control of potential cofounding factors, such as pBMI, diet, and race.

Indexed as

Gestational Weight GainOverweightBody Mass IndexDietFemaleHumansInfant, NewbornMaleObesityPregnancyPregnancy OutcomeWeight GainBMIcytokinesgenetic variantsgestational weight gainpregnancy

Identifiers

PMID38474283
PMCPMC10932001
OpenAlexW4392509999

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.