scholarly journals How Can Genetic Studies Help Us to Understand Links Between Birth Weight and Type 2 Diabetes?

2017 ◽  
Vol 17 (4) ◽  
Author(s):  
Robin N. Beaumont ◽  
Momoko Horikoshi ◽  
Mark I. McCarthy ◽  
Rachel M. Freathy
Biochimie ◽  
2017 ◽  
Vol 143 ◽  
pp. 56-65 ◽  
Author(s):  
Marie-Thérèse Bihoreau ◽  
Marc-Emmanuel Dumas ◽  
Mark Lathrop ◽  
Dominique Gauguier

2008 ◽  
Vol 11 (5) ◽  
pp. 505-516 ◽  
Author(s):  
Nicole Y. Souren ◽  
Maurice P. Zeegers ◽  
Rob G. J. H. Janssen ◽  
Anja Steyls ◽  
Marij Gielen ◽  
...  

AbstractInsulin resistance and obesity are underlying causes of type 2 diabetes and therefore much interest is focused on the potential genes involved. A series of anthropometric and metabolic characteristic were measured in 240 MZ and 112 DZ twin pairs recruited from the East Flanders Prospective Twin Survey. Microsatellite markers located close to ABCC8, ADIPOQ, GCK, IGF1, IGFBP1, INSR, LEP, LEPR, PPARγ and the RETN gene were genotyped. Univariate single point variance components linkage analyses were performed using two methods: (1) the standard method, only comprising the phenotypic and genotypic data of the DZ twin pairs and (2) the extended method, also incorporating the phenotypic data of the MZ twin pairs. Suggestive linkages (LOD > 1) were observed between the ABCC8 marker and waist-to-hip ratio and HDL-cholesterol levels. Both markers flanking ADIPOQ showed suggestive linkage with triglycerides levels, the upstream marker also with body mass and HDL-cholesterol levels. The IGFBP1 marker showed suggestive linkage with fat mass, fasting insulin and leptin levels and the LEP marker showed suggestive linkage with birth weight. This study suggests that DNA variants in ABCC8, ADIPOQ, IGFBP1 and LEP gene region may predispose to type 2 diabetes. In addition, the two methods used to perform linkage analyses yielded similar results. This was however not the case for birth weight where chorionicity seems to be an important confounder.


2021 ◽  
Vol 5 (1) ◽  
pp. 10-23
Author(s):  
Faradea Ubaidurrohmah Savitri ◽  
◽  
Risma Andani Ayu Safitri ◽  
Wening Pangesthi Maharani ◽  
Lela Dwi Andriani ◽  
...  

Diabetes Mellitus is a chronic disease caused by abnormal working insulin, insulin secretion or both so that the body tends to have high glucose levels. Type 2 diabetes mellitus can cause elevated levels of LDL and cholesterol. Risks obtained by fetuses with type 2 diabetes can be in the form of macrosomia due to hyperglycemia and hyperinsulin in the body of the fetus. Insulin is the first choice pharmacological therapy for type 2 DM that can be given during pregnancy. Non-pharmacological therapy as recommended by the World Health Organization (WHO) on a healthy diet by increasing consumption of fruits and vegetables. Good fruit consumed for pregnant women with diabetes mellitus (DM) type 2 is tomatoes (Solanum lycopersicum L). The purpose of this study was to determine the administration of tomato extract (Solanum lycopersicum L) and insulin can affect glucose levels, LDL levels, cholesterol levels and birth weight of white wistar galur (Rattus norvegicus) pregnant women with type 2 diabetes mellitus models. experimental design using the pre post test only control group design and post test only control group design. Termination was done on the 17th day of pregnancy and then followed by measurements of LDL levels, cholesterol and birth weight. Data analysis using the One Way Anova test and Kruskal Wallis then continued with the Post Hoc test using. The results showed that there were significant differences between glucose levels, LDL levels, cholesterol levels and BW born in the insulin treatment group and the tomato juice treatment (p value = 0.00 <α = 0.05). The conclusion of giving insulin and tomato juice affects a decrease in glucose levels, LDL levels, cholesterol levels and birth weight.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Yanping Li ◽  
Qibin Qi ◽  
Tsegaselassie Workalemahu ◽  
Frank B Hu ◽  
Lu Qi

Background: Both stressful intrauterine milieus and genetic susceptibility have been linked to later life diabetes risk. The present study aims to examine the interaction between low birth weight, a surrogate measure of stressful intrauterine milieus, and genetic susceptibility in relation to risk of type 2 diabetes in adulthood. Methods: The analysis included two independent, nested case-control studies of in total 2591 cases of type 2 diabetes and 3052 healthy controls from prospective cohorts: the Nurses’ Health Study (NHS) and the Health Professionals Follow-up Study (HPFS). We developed 2 genotype scores using susceptibility loci recently identified through Genome Wide Association Studies: 1) an ‘obesity genotype score’ based on 32 BMI-predisposing single nucleotide polymorphisms (SNPs); and 2) a ‘diabetes genotype score’ based on 35 diabetes-predisposing SNPs. Results: Both the obesity genotype score and diabetes genotype score showed consistently significant association with risk of type 2 diabetes in NHS and HPFS ( P for trend < 0.01). In the pooled sample of the two cohorts, we found significant interaction between birth weight and obesity genotype score in relation to type 2 diabetes ( P for interaction=0.017). In low birth weight individuals (≤ 2.5 kg), the multivariable-adjusted odds ratio (OR) was 2.55 (95% confidence interval [CI]: 1.34–4.84) in the comparison of the highest with the lowest quartile of the obesity genotype score, while the OR was 1.27 (95%CI: 1.04–1.55) among individuals with birth weight above 2.5kg. Diabetes genotype score also showed stronger association with type 2 diabetes risk in individuals with low birth weight than those with high birth weight. Comparing individuals of the highest with the lowest quartile of the diabetes genotype score, the multivariable-adjusted odds ratio was 3.80 (95%CI: 1.76–8.24) among individuals with low birth weight and was 2.27 (95%CI: 1.82–2.83) among those with high birth weight. However, test for interaction was marginal ( P =0.16). Conclusion: Our data suggest low birth weight and genetic susceptibility to obesity may synergistically affect adulthood risk of type 2 diabetes.


Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 1132-P
Author(s):  
LAUREN E. WEDEKIND ◽  
WEN-CHI HSUEH ◽  
MUIDEEN OLAIYA ◽  
SAYUKO KOBES ◽  
LESLIE BAIER ◽  
...  

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