scholarly journals Genetic basis underlying connection between hyperglycemia and dyslipidemia in Apoe-deficient mice

2015 ◽  
Author(s):  
Qian Wang ◽  
Andrew Grainger ◽  
Ani Manichaikul ◽  
Emily Farber ◽  
Suna Onengut-Gumuscu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
Western Diet ◽  
Chromosome 9 ◽  
Lipid Levels ◽  
Glucose Levels ◽  
Cholesterol Levels

Individuals with dyslipidemia often develop type 2 diabetes, and diabetic patients often have dyslipidemia. It remains to be determined whether there are genetic connections between the 2 disorders. A female F2 cohort, generated from BALB/cJ (BALB) and SM/J (SM) Apoe-deficient (Apoe−/−) strains, was fed a Western diet for 12 weeks. Fasting plasma glucose and lipid levels were measured before and after Western diet feeding. 144 genetic markers across the entire genome were used for analysis. One significant QTL on chromosome 9, named Bglu17 [26.4 cM, logarithm of odds ratio (LOD): 5.4], and 3 suggestive QTLs were identified for fasting glucose levels. The suggestive QTL near the proximal end of chromosome 9 (2.4 cM, LOD: 3.12) was detected when mice were fed chow or Western diet and named Bglu16. Bglu17 coincided with a significant QTL for HDL and a suggestive QTL for non-HDL cholesterol levels. Plasma glucose levels were inversely correlated with HDL but positively correlated with non-HDL cholesterol levels in F2 mice fed either diet. A significant correlation between fasting glucose and triglyceride levels was observed on the Western but not chow diet. Haplotype analysis revealed that ???lipid genes??? Sik3 and Apoc3 were probable candidates for Bglu17. We have identified multiple QTLs for fasting glucose and lipid levels. The colocalization of QTLs for both phenotypes and the sharing of potential causal genes suggest that dyslipidemia and type 2 diabetes are genetically connected.

scholarly journals Effects of TCF7L2 rs7903146 variant on metformin response in patients with type 2 diabetes

2019 ◽  
Author(s):  
Tanja Dujic ◽  
Tamer Bego ◽  
Maja Malenica ◽  
Zelija Velija-Asimi ◽  
Emma Ahlqvist ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
First Year ◽  
Metformin Treatment ◽  
Newly Diagnosed ◽  
Anthropometric Parameters ◽  
Glucose Levels ◽  
Tcf7l2 Rs7903146

The response to metformin, the most commonly used drug for the treatment of type 2 diabetes (T2D), is highly variable. The common variant rs7903146 C>T within the transcription factor 7 like 2 gene (TCF7L2) is the strongest genetic risk factor associated with T2D to date. In this study we explored the effects of TCF7L2 rs7903146 genotype on metformin response in T2D. The study included 86 newly diagnosed patients with T2D, incident users of metformin. Levels of fasting glucose, insulin, HbA1c, total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, and anthropometric parameters were measured prior to metformin therapy, and 6 and 12 months after the treatment. Genotyping of TCF7L2 rs7903146 was performed by the Sequenom MassARRAY® iPLEX® platform. At baseline, the diabetes risk allele (T) showed an association with lower triglyceride levels (p = 0.037). After 12 months of metformin treatment, the T allele was associated with 25.9% lower fasting insulin levels (95% CI 10.9-38.3%, p = 0.002) and 29.1% lower HOMA-IR index (95% CI 10.1-44.1%, p = 0.005), after adjustment for baseline values. Moreover, the T allele was associated with 6.7% lower fasting glucose levels (95% CI 1.1-12.0%, p = 0.021), adjusted for baseline glucose and baseline HOMA-%B levels, after 6 months of metformin treatment. This effect was more pronounced in TT carriers who had 16.8% lower fasting glucose levels (95% CI 7.0-25.6%, p = 0.002) compared to the patients with CC genotype. Our results suggest that TCF7L2 rs7903146 variant affects markers of insulin resistance and glycemic response to metformin in newly diagnosed patients with T2D within the first year of metformin treatment.

Effect of High ß-Glucan Barley on Postprandial Plasma Glucose Levels in Subjects with Normal Glucose Tolerance and Patients with Type 2 Diabetes

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 772-P
Author(s):  
MARIKO HIGA ◽  
AYANA HASHIMOTO ◽  
MOE HAYASAKA ◽  
MAI HIJIKATA ◽  
AYAMI UEDA ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glucose Tolerance ◽  
Plasma Glucose ◽  
Normal Glucose Tolerance ◽  
Postprandial Plasma Glucose ◽  
Glucose Levels ◽  
Normal Glucose

scholarly journals Anthropometry, Carbohydrate and Lipid Metabolism in the East Flanders Prospective Twin Survey: Linkage of Candidate Genes Using Two Sib-Pair Based Variance Components Analyses

2008 ◽  
Vol 11 (5) ◽  
pp. 505-516 ◽  
Author(s):  
Nicole Y. Souren ◽  
Maurice P. Zeegers ◽  
Rob G. J. H. Janssen ◽  
Anja Steyls ◽  
Marij Gielen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Birth Weight ◽  
Variance Components ◽  
Single Point ◽  
Hdl Cholesterol ◽  
Suggestive Linkage ◽  
Phenotypic Data ◽  
Linkage Analyses ◽  
Cholesterol Levels

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.

scholarly journals PENGARUH PEMBERIAN SARI TOMAT (Solanum lycopersicum L) DAN INSULIN TERHADAP KADAR GLUKOSA, KADAR LDL, KADAR KOLESTEROL DAN BERAT BADAN LAHIR TIKUS PUTIH STRAIN WISTAR (Rattus Norvegicus) BUNTING DENGAN MODEL DIABETES MELLITUS TIPE 2

2021 ◽  
Vol 5 (1) ◽  
pp. 10-23
Author(s):  
Faradea Ubaidurrohmah Savitri ◽  
◽  
Risma Andani Ayu Safitri ◽  
Wening Pangesthi Maharani ◽  
Lela Dwi Andriani ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Birth Weight ◽  
Solanum Lycopersicum ◽  
The Body ◽  
Control Group ◽  
Glucose Levels ◽  
Solanum Lycopersicum L ◽  
Cholesterol Levels

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.

scholarly journals Plasma Glucose Levels Throughout the Day and HbA1c Interrelationships in Type 2 Diabetes: Implications for treatment and monitoring of metabolic control

Diabetes Care ◽  
2001 ◽  
Vol 24 (12) ◽  
pp. 2023-2029 ◽  
Author(s):  
E. Bonora ◽  
F. Calcaterra ◽  
S. Lombardi ◽  
N. Bonfante ◽  
G. Formentini ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Control ◽  
Plasma Glucose ◽  
Glucose Levels
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