Ramos-Levi Ana M, O'Connor Rocío Martín, Barabash Ana, de Miguel Maria Paz, Diaz-Perez Angel, Marcuello Clara, Familiar Cristina, Moraga Inmaculada, Arnoriaga-Rodriguez Maria, Valerio Johanna, Valle Laura Del, Melero Veronica, Zulueta Mirella, Mendizabal Leire, Torrejon María Jose, Rubio Miguel Angel, Matia-Martín Pilar, Calle-Pascual Alfonso
Department of Endocrinology and Nutrition, Hospital Clínico Universitario San Carlos and Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain. Calle Profesor Martin Lagos s/n, 28040 Madrid, Spain.
Facultad de Medicina. Medicina II Department, Universidad Complutense de Madrid, Spain. Av. Complutense, 28040 Madrid, Spain.
iScience. 2024 Nov 13;27(12):111376. doi: 10.1016/j.isci.2024.111376. eCollection 2024 Dec 20.
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.
低出生体重(LBW)与不良健康结局相关。其原因包括母亲的生活方式、产科因素以及胎儿(表观)遗传异常。本研究旨在通过分析低出生体重与一组110个与妊娠期糖尿病相关的母亲变异之间的关联,在采用地中海饮食进行营养干预的背景下,增加对低出生体重遗传背景的认识。该分析采用多因素方法,包括1642名孕妇的母亲遗传信息,以及她们的人体测量和代谢特征。二元逻辑回归模型提供了33个与低出生体重相关的发现变异,这些变异经过功能富集过程以获得蛋白质/基因相互作用网络和126个富集术语。总体而言,我们的分析证明,遗传变异形成邻近簇,分为与潜在生物学过程或其他母亲特征有统计学关联的子集,这些子集反过来又有助于早期预防低出生体重的最终风险。