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Circulating microRNAs overexpressed in macrosomia: an experimental and bioinformatic approach

Published online by Cambridge University Press:  26 May 2020

Alejandra Ortiz-Dosal
Affiliation:
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, S.L.P. México Current address: Doctorado Institucional en Ingeniería y Ciencia de Materiales, Coordinación para la Innovación y la Aplicación de la Ciencia y la Tecnología, San Luis Potosí, México
Elvira del Carmen Arellanes-Licea
Affiliation:
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, S.L.P. México
Patricia Rodil-García
Affiliation:
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, S.L.P. México
Luis A. Salazar-Olivo*
Affiliation:
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, San Luis Potosí, S.L.P. México
*
Address for correspondence: Luis A. Salazar-Olivo, Camino a la Presa San José 2055, Lomas 4a secc., San Luis Potosí, SLP, 78216, México. Email: olivo@ipicyt.edu.mx.

Abstract

Low birth weight (LBW) and macrosomia have been associated with later-in-life metabolic alterations. The aim of this study was to elucidate whether the expression levels of circulating microRNAs (c-miRNAs) associated with adult metabolic diseases are also dysregulated in newborns with LBW or macrosomia. The expression levels of five microRNAs (miRNAs) associated with metabolic diseases were quantified in dried blood spots of newborns with adequate birth weight, LBW and macrosomia by stem-loop real-time polymerase chain reaction. miR-29a-5p, miR-126-3p, miR-221-3p, and miR-486-5p were significantly overexpressed in newborns with macrosomia and showed no significant change in the LBW group compared to normal weight controls. miR-320a showed no statistical difference among groups. We predicted the putative target genes and pathways of the overexpressed miRNAs with bioinformatic tools. Bioinformatic analyses of overexpressed miRNAs predicted target genes involved in carbohydrate metabolism, participate in FoxO and PI3K/Akt signaling pathways, and are associated with diabetes, obesity, and cardiovascular diseases. The overexpression of circulating miR-29a-5p, miR-126-3p, miR-221-3p, and miR-486-5p may explain the increased risk of obesity and diabetes associated with macrosomia. The use of dried blood spots from newborn screening cards to quantify miRNAs expression levels could be an early and minimally invasive predictive tool for these metabolic alterations.

Type
Original Article
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2020

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