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The FTO rs9939609 and LEPR rs1137101 mothers-newborns gene polymorphisms and maternal fat mass index effects on anthropometric characteristics in newborns: A cross-sectional study on mothers-newborns gene polymorphisms-The FTO-LEPR Study (STROBE-compliant article).

ABSTRACT: The aim of this study was to assess the impact of mothers' and newborns' fat mass and obesity-associated gene (FTO) rs9939609 and leptin receptor (LEPR) rs1137101 gene polymorphisms on neonatal anthropometric parameters in order to identify a potential risk for developing obesity.We performed a cross-sectional study on 355 mother-newborn couples in an Obstetrics Gynecology Tertiary Hospital from Romania, evaluated with regard to anthropometric parameters, clinical and laboratory parameters besides 2 genetic polymorphisms (FTO rs9939609 and LEPR rs1137101).Newborns with mothers carrying variant AT or AA genotype for FTO rs9939609 presented lower BMI (P = 0.012) and lower MUAC (P = 0.029). There was a significant interaction effect between newborn and mother LEPR rs1137101 polymorphism on birth weight (P = 0.009) and BMI (P = 0.007). We noticed significantly increased birth weight and BMI in newborns carriers of AG?+?GG genotype, coming from mothers with AA genotype (P = 0.006). There was no evidence of significant interaction effect between newborn and mother FTO rs9939609 polymorphism on the studied anthropometrical data (P?>?0.05). In addition, lower BMI scores (P = 0.042) were observed in newborns carriers of TT genotype whose mothers had AA?+?AT genotype. Lower MUAC scores (P = 0.041) were noticed in newborns carriers of AA?+?AT genotype whose mothers had AA?+?AT genotype for FTO rs9939609 gene polymorphism. Newborns carriers of the AG?+?GG genotype (P = 0.003) of LEPR rs1137101 coming from mothers with increased FMI (upper tertile) had significantly increased BMIs.Presence of the variant A allele of FTO rs9939609 polymorphism in mothers decreased BMI and MUAC in newborns. The impact of LEPR rs1137101 polymorphism on BMI and birth weight in newborns differed depending on the presence/absence of the dominant LEPR allele in mothers. In addition, we noticed that maternal FMI presented a significant positive effect on newborns' BMI by changing the effect of LEPR rs1137101.We can conclude that mothers' FTO rs9939609 and LEPR rs1137101 gene polymorphisms presented an impact on birth weight and newborns' BMI, therefore being involved in the newborns' nutritional status and in the design of a potential protocol.

SUBMITTER: Marginean C

PROVIDER: S-EPMC5266028 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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The FTO rs9939609 and LEPR rs1137101 mothers-newborns gene polymorphisms and maternal fat mass index effects on anthropometric characteristics in newborns: A cross-sectional study on mothers-newborns gene polymorphisms-The FTO-LEPR Study (STROBE-compliant article).

Mărginean Claudiu C Mărginean Cristina Oana CO Iancu Mihaela M Meliţ Lorena Elena LE Tripon Florin F Bănescu Claudia C

Medicine 20161201 49

The aim of this study was to assess the impact of mothers' and newborns' fat mass and obesity-associated gene (FTO) rs9939609 and leptin receptor (LEPR) rs1137101 gene polymorphisms on neonatal anthropometric parameters in order to identify a potential risk for developing obesity.We performed a cross-sectional study on 355 mother-newborn couples in an Obstetrics Gynecology Tertiary Hospital from Romania, evaluated with regard to anthropometric parameters, clinical and laboratory parameters besid ...[more]

PMID: 27930556

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Project description:The gestational weight gain is determined by food habits, environmental and genetic factors.The aims of this paper were to establish relationships between maternal gene polymorphisms (patatin-like phospholipase domain-containing protein 3 rs738409 [PNPLA3 rs738409], glucokinase regulatory protein rs780094 [GCKR rs780094], and guanine nucleotide-binding protein rs5443 [GNB3 rs5443]) and mothers' gestational weight gain, but also neonatal outcomes (birth weight, length, and ponderal index [PI]).We performed a cross-sectional study in a sample of 158 mothers and their product of conception' in an Obstetrics-Gynecology Clinic from Romania. We divided the pregnant women according to the Institute of Medicine recommendations into 3 subgroups: (1) insufficient gestational weight gain; (2) normal gestational weight gain; and (3) excessive gestational weight gain.The gestational weight gain among pregnant women included in this study was classified as insufficient (10.1%), normal (31%), and excessive (58.9%). We found a tendency towards statistical significance for mothers that were overweight or obese before pregnancy to present an excessive gestational weight gain as compared to the normal weight ones. Similarly, we identified a tendency for statistical significance regarding the association between the variant genotype of GNB3 rs5443 and excessive gestational weight gain. We noticed differences that tended to be statistical significant concerning aspartate aminotransferase values between the 3 subgroups, mothers with excessive gestational weight gain having higher values than mothers with normal gestational weight gain (median, IQR: 22.89[17.53; 31.59] for mothers with excessive gestational weight gain versus 22.71[18.58; 27.37] for mothers with normal gestational weight gain). In mothers with excessive gestational weight gain, we found a significant association between the variant genotype of PNPLA3 rs738409 polymorphism and neonatal PI noticing a decrease of this index in case of newborns from mothers carrying the variant genotype.Excessive gestational weight gain was noticed in pregnant women that were obese and overweight before pregnancy. We found a positive association between the variant genotype of GNB3 rs5443 polymorphism and excessive gestational weight gain. Similarly, the presence of variant genotype of PNPLA3 rs738409 in mothers was associated with a lower PI in their newborns. Our study pointed out the most important factors that influence gestational weight gain and related birth outcomes.

Project description:The potential association between the prognosis of the pancreatic adenocarcinoma (PAAD) and its microenvironment is unclear. This study aims to construct a prognostic index (PI) model of the PAAD microenvironment to predict PAAD patient survival outcomes.The mRNA sequencing and the clinical parameters data were obtained from The Cancer Genome Atlas. Immune and stromal scores were computed using the expression data algorithm to capture infiltration of immune and stromal cells in the PAAD tissue, where patients were categorized as high and low score groups according to these scores. Differentially expressed genes were identified using the R package LIMMA. Univariate and multivariate Cox regression analysis were conducted to select candidate survival-correlated gene signatures from the tumor microenvironment for constructing a model. The Kaplan-Meier method was used to access overall survival of the primary and validation cohorts. The immunological features of the PI model was explored using the Tumor Immune Estimation Resource (TIMER) database. Bioinformatic analyses were conducted based on the DAVID database.A total of 1266 overlapping differentially expressed genes and 49 prognosis-associated genes were identified. A 7-mRNA signature (GBP5, BICC1, SLC7A14, CYSLTR1, P2RY6, VENTX, and RAB39B) was screened for the construction of a PI model (area under the curve = 0.791). In both the primary and validation cohorts, Kaplan Meier analysis revealed that the overall survival of the high-risk group was significantly worse compared to the low-risk group (P?<?.0001, P?=?.0028 respectively). The TIMER database described that the 7 signature genes were correlated with immune infiltrating cells and tumor purity. Bioinformatic analyses revealed that these prognosis-associated genes were significantly enriched during inflammation, the defense response, would response, calcium ion transport, and plasma membrane part.A list of the prognosis-correlated genes was generated based on the PAAD microenvironment. A 7-mRNA PI model may be used for predicting the prognosis of PAAD patients.

Dataset Information

The FTO rs9939609 and LEPR rs1137101 mothers-newborns gene polymorphisms and maternal fat mass index effects on anthropometric characteristics in newborns: A cross-sectional study on mothers-newborns gene polymorphisms-The FTO-LEPR Study (STROBE-compliant article).

Publications

The FTO rs9939609 and LEPR rs1137101 mothers-newborns gene polymorphisms and maternal fat mass index effects on anthropometric characteristics in newborns: A cross-sectional study on mothers-newborns gene polymorphisms-The FTO-LEPR Study (STROBE-compliant article).

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