Influence of pre-pregnancy body mass index (p-BMI) and gestational weight gain (GWG) on DNA methylation and protein expression of obesogenic genes in umbilical vein.
Erika Chavira-SuárezAngélica Jazmín Ramírez-MendietaSofía Martínez-GutiérrezPaola Berenice Zárate-SeguraJorge Beltrán-MontoyaNidia Carolina Espinosa-MaldonadoJuan Carlos de la Cerda-ÁngelesFelipe Vadillo-OrtegaPublished in: PloS one (2019)
Understanding the regulatory mechanisms that affect obesogenic genes expression in newborns is essential for early prevention efforts, but they remain unclear. Our study aimed to explore whether the maternal p-BMI and GWG were associated with regulatory single-locus DNA methylation in selected obesogenic genes. For this purpose, DNA methylation was assayed by Methylation-Sensitive High Resolution Melting (MS-HRM) technique and Sanger allele-bisulfite sequencing in fifty samples of umbilical vein to evaluate glucosamine-6-phosphate deaminase 2 (GNPDA2), peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC1α), and leptin receptor (LEPR) genes. Correlations between DNA methylation levels and indicators of maternal nutritional status were carried out. Western blotting was used to evaluate protein expression in extracts of the same samples. Results indicated that GNPDA2 and PGC1α genes have the same level of DNA methylation in all samples; however, a differential DNA methylation of LEPR gene promoter was found, correlating it with GWG and this correlation is unaffected by maternal age or unhealthy habits. Furthermore, leptin receptor (Lep-Rb) was upregulated in samples that showed the lowest levels of DNA methylation. This study highlights the association between poor GWG and adjustments on obesogenic genes expression in newborn tissues with potential consequences for development of obesity in the future.
Keyphrases
- dna methylation
- genome wide
- weight gain
- body mass index
- birth weight
- gene expression
- high resolution
- copy number
- genome wide identification
- pregnancy outcomes
- pregnant women
- transcription factor
- poor prognosis
- bioinformatics analysis
- binding protein
- skeletal muscle
- adipose tissue
- type diabetes
- mass spectrometry
- multiple sclerosis
- high speed
- single cell
- low birth weight
- ms ms
- genome wide analysis