Maternal genomic profile, gestational diabetes control, and Mediterranean diet to prevent low birth weight

Low birth weight (LBW) is associated to poor health outcomes. Its causes include maternal lifestyle, obstetric factors, and fetal (epi)genetic abnormalities. This study aims to increase the knowledge regarding the genetic background of LBW by analyzing its association with a set of 110 maternal variants related to gestational diabetes mellitus, in the setting of a nutritional intervention with Mediterranean diet. The analysis follows a multifactorial approach, including maternal genetic information of 1,642 pregnant women, along with their anthropometric and metabolic characteristics. Binary logistic regression models provided 33 discovery variants associated with LBW that underwent a functional enrichment process to obtain a protein/gene interaction network and 126 enriched terms. Overall, our analysis proves that genetic variants form proximity clusters, grouped into subsets statistically associated with underlying biological processes or other maternal characteristics, which, on their part, allow early prevention of the eventual risk of LBW.

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Publication Details

Journal
iScience
Published
2024-11-13
DOI
https://doi.org/10.1016/j.isci.2024.111376
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Maternal genomic profile, gestational diabetes control, and Mediterranean diet to prevent low birth weight

Alfonso L. Calle‐Pascual, Mirella Zulueta, Verónica Melero, Johanna Valerio et al.
iScience
Birth, Development, and Health
article

Maternal genomic profile, gestational diabetes control, and Mediterranean diet to prevent low birth weight

Alfonso L. Calle‐Pascual, Mirella Zulueta, Verónica Melero, Johanna Valerio, María P. De Miguel, María José Torrejón, Leire Mendizabal, Clara Marcuello, Laura del Valle, Miguel Ángel Rubio, Ana Barabash, Rocio Martin O’Connor, María Arnoriaga‐Rodríguez, Ana Maria Ramos-Levi, Inmaculada Moraga, Pilar Matía‐Martín, Cristina Familiar, Angel Diaz-Perez
article en

Abstract

Low birth weight (LBW) is associated to poor health outcomes. Its causes include maternal lifestyle, obstetric factors, and fetal (epi)genetic abnormalities. This study aims to increase the knowledge regarding the genetic background of LBW by analyzing its association with a set of 110 maternal variants related to gestational diabetes mellitus, in the setting of a nutritional intervention with Mediterranean diet. The analysis follows a multifactorial approach, including maternal genetic information of 1,642 pregnant women, along with their anthropometric and metabolic characteristics. Binary logistic regression models provided 33 discovery variants associated with LBW that underwent a functional enrichment process to obtain a protein/gene interaction network and 126 enriched terms. Overall, our analysis proves that genetic variants form proximity clusters, grouped into subsets statistically associated with underlying biological processes or other maternal characteristics, which, on their part, allow early prevention of the eventual risk of LBW.

iScienceVol. 27(12)
Universidad Complutense de Madrid (ES), Hospital Clínico San Carlos (ES), Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES), Tecnalia (ES)
Ministerio de Ciencia e Innovación, Instituto de Salud Carlos III, European Regional Development Fund
Zero hunger
Openalex Percentile: Top 68%
Birth, Development, and Health
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