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Int J Mol Sci. 2017 Nov 28;18(12). pii: E2552. doi: 10.3390/ijms18122552.

Analysis of MicroRNA Expression in Newborns with Differential Birth Weight Using Newborn Screening Cards.

Author information

1
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. patyrodil@gmail.com.
2
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. elvira.arellanes@utcorregidora.edu.mx.
3
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. angelica.montoya@ipicyt.edu.mx.
4
Molecular Biology Division, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José 2055, San Luis Potosí 78216, SLP, México. olivo@ipicyt.edu.mx.

Abstract

Birth weight is an early predictor for metabolic diseases and microRNAs (miRNAs) are proposed as fetal programming participants. To evaluate the use of dried blood spots (DBS) on newborn screening cards (NSC) as a source of analyzable miRNAs, we optimized a commercial protocol to recover total miRNA from normal birth weight (NBW, n = 17-20), low birth weight (LBW, n = 17-20) and high birth weight (macrosomia, n = 17-20) newborns and analyzed the relative expression of selected miRNAs by stem-loop RT-qPCR. The possible role of miRNAs on the fetal programming of metabolic diseases was explored by bioinformatic tools. The optimized extraction of RNA resulted in a 1.2-fold enrichment of miRNAs respect to the commercial kit. miR-33b and miR-375 were overexpressed in macrosomia 9.8-fold (p < 0.001) and 1.7-fold, (p < 0.05), respectively and miR-454-3p was overexpressed in both LBW and macrosomia (19.7-fold, p < 0.001 and 10.8-fold, p < 0.001, respectively), as compared to NBW. Potential target genes for these miRNAs are associated to cyclic-guanosine monophosphate (cGMP)-dependent protein kinase (PKG), mitogen-activated protein kinase (MAPK), type 2 diabetes, transforming growth factor-β (TGF-β)and Forkhead box O protein (FoxO) pathways. In summary, we improved a protocol for analyzing miRNAs from NSC and provide the first evidence that birth weight modifies the expression of miRNAs associated to adult metabolic dysfunctions. Our work suggests archived NSC are an invaluable resource in the search for fetal programming biomarkers.

KEYWORDS:

birth weight; circulating microRNAs; fetal programming; newborn screening cards

PMID:
29182561
PMCID:
PMC5751155
DOI:
10.3390/ijms18122552
[Indexed for MEDLINE]
Free PMC Article

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