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. 2019 Jul 26;9(1):10858.
doi: 10.1038/s41598-019-47402-2.

MC4R and ENPP1 gene polymorphisms and their implication in maternal and neonatal risk for obesity

Claudiu Mărginean  1 , Cristina Oana Mărginean  2 , Mihaela Iancu  3 , Lorena Elena Meliț  1 , Florin Tripon  4 , Claudia Bănescu  4
Affiliations

MC4R and ENPP1 gene polymorphisms and their implication in maternal and neonatal risk for obesity

Claudiu Mărginean et al. Sci Rep. .

Abstract

The aims of this study were to establish the role of MC4Rrs17782313 and ENPP1rs1044498 gene polymorphisms on pre-pregnancy BMI and the newborn's status. We performed a cross-sectional study on 185 mothers and their offspring. The groups were divided into: control group- underweight or normal mothers with BMIinitial < 25 kg/m2 (n1 = 134) and study group-overweight/obese mothers with BMIinitial ≥ 25 kg/m2 (n2 = 51). All subjects underwent demographic, anthropometric, paraclinical, bioimpedance and genetic parameters. We found association between initial BMI and gestational weight gain (GWG), and a higher frequency of excessive GWG in overweight/obese women (p = 0.037). Higher values of anthropometric and bioimpedance parameters were observed in overweight/obese versus underweight/normal women. The MC4R rs17782313 and ENPP1 rs1044498 variant genotypes had an increased risk of pre-pregnancy overweight (OR = 1.41; 95% CI:[0.72; 2.78]; OR = 1.34; 95% CI:[0.65; 2.75]). The newborns from mothers with excessive GWG had a higher birth weight (BW) (p = 0.001). Higher MUAC values were noticed in newborns with MC4R rs17782313 wild-type genotype. Also, BW was correlated with GWG status smoking in pregnancy, gestational age and neonatal ENPP1rs1044498 variant genotype (p = 0.026). Our study pointed out the role of MC4R rs17782313 and ENPP1 rs1044498 genotypes in obesity determinisms in mothers and their newborns in correlation with BMI, MUAC, TST and bioimpedance parameters.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
The effects of neonatal MC4Rrs17782313 and ENPP1rs1044498 SNPs on birth weight of full-term newborns adjusted for GWG status and other covariates - unstandardized regression beta coefficients with their confidence intervals (95% CI). Legend: Neonatal MC4Rrs17782313 and ENPP1rs1044498 SNPs were regarded as dichotomous predictors in multiple linear regression and coded as 1 = variant genotype, 0 = wild genotype; also for Multiparous (coded as 1 = yes, 0 = nulliparous) and Smoking in pregnancy (coded as 1 = yes; 0 = no) while Educational status (coded as 0 = 0 years of education; 1 = under 8 years of education; 2 = between 9 and 12 years of education; 3 = more than 12 years of education) and GWG status (0 = insufficient GWG; 1 = normal GWG; 2 = excessive GWG) were regarded as ordinal variables.
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