Vitamin K 2 alleviates type 2 diabetes in rats by induction of osteocalcin gene expression

Nutrition ◽  
2018 ◽  
Vol 47 ◽  
pp. 33-38 ◽  
Author(s):  
Atef G. Hussein ◽  
Randa H. Mohamed ◽  
Sally M. Shalaby ◽  
Dalia M. Abd El Motteleb
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Vitamin K ◽  
Osteocalcin Gene

Recreational Running Training Favourably Affects Antioxidants Gene Expression in Type 2 Diabetes Patients

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 52-LB
Author(s):  
MAYSA SOUSA ◽  
ARITANIA SANTOS ◽  
MARIA ELIZABETH R. SILVA
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Running Training ◽  
Diabetes Patients

scholarly journals Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population

2020 ◽  
Vol 17 (16) ◽  
pp. 5866
Author(s):  
Zarish Noreen ◽  
Christopher A. Loffredo ◽  
Attya Bhatti ◽  
Jyothirmai J. Simhadri ◽  
Gail Nunlee-Bland ◽  
...  
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Mitochondrial Dysfunction ◽  
Signaling Pathway ◽  
Health Concern ◽  
Receptor Signaling ◽  
Small Pilot Study

The epidemic of type 2 diabetes mellitus (T2DM) is an important global health concern. Our earlier epidemiological investigation in Pakistan prompted us to conduct a molecular investigation to decipher the differential genetic pathways of this health condition in relation to non-diabetic controls. Our microarray studies of global gene expression were conducted on the Affymetrix platform using Human Genome U133 Plus 2.0 Array along with Ingenuity Pathway Analysis (IPA) to associate the affected genes with their canonical pathways. High-throughput qRT-PCR TaqMan Low Density Array (TLDA) was performed to validate the selected differentially expressed genes of our interest, viz., ARNT, LEPR, MYC, RRAD, CYP2D6, TP53, APOC1, APOC2, CYP1B1, SLC2A13, and SLC33A1 using a small population validation sample (n = 15 cases and their corresponding matched controls). Overall, our small pilot study revealed a discrete gene expression profile in cases compared to controls. The disease pathways included: Insulin Receptor Signaling, Type II Diabetes Mellitus Signaling, Apoptosis Signaling, Aryl Hydrocarbon Receptor Signaling, p53 Signaling, Mitochondrial Dysfunction, Chronic Myeloid Leukemia Signaling, Parkinson’s Signaling, Molecular Mechanism of Cancer, and Cell Cycle G1/S Checkpoint Regulation, GABA Receptor Signaling, Neuroinflammation Signaling Pathway, Dopamine Receptor Signaling, Sirtuin Signaling Pathway, Oxidative Phosphorylation, LXR/RXR Activation, and Mitochondrial Dysfunction, strongly consistent with the evidence from epidemiological studies. These gene fingerprints could lead to the development of biomarkers for the identification of subgroups at high risk for future disease well ahead of time, before the actual disease becomes visible.

Effect of RU486 on Hepatic and Adipocyte Gene Expression Improves Diabetes Control in Obesity-type 2 Diabetes

2009 ◽  
Vol 41 (12) ◽  
pp. 899-904 ◽  
Author(s):  
A. I. Taylor ◽  
N. Frizzell ◽  
A. M. McKillop ◽  
P. R. Flatt ◽  
V. A. Gault
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Diabetes Control

scholarly journals Analysis of gene expression profiles in insulin-sensitive tissues from pre-diabetic and diabetic Zucker diabetic fatty rats

2005 ◽  
Vol 34 (2) ◽  
pp. 299-315 ◽  
Author(s):  
Young Ho Suh ◽  
Younyoung Kim ◽  
Jeong Hyun Bang ◽  
Kyoung Suk Choi ◽  
June Woo Lee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Skeletal Muscle ◽  
Adipose Tissue ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Zucker Diabetic Fatty Rats ◽  
Zdf Rats

Insulin resistance occurs early in the disease process, preceding the development of type 2 diabetes. Therefore, the identification of molecules that contribute to insulin resistance and leading up to type 2 diabetes is important to elucidate the molecular pathogenesis of the disease. To this end, we characterized gene expression profiles from insulin-sensitive tissues, including adipose tissue, skeletal muscle, and liver tissue of Zucker diabetic fatty (ZDF) rats, a well characterized type 2 diabetes animal model. Gene expression profiles from ZDF rats at 6 weeks (pre-diabetes), 12 weeks (diabetes), and 20 weeks (late-stage diabetes) were compared with age- and sex-matched Zucker lean control (ZLC) rats using 5000 cDNA chips. Differentially regulated genes demonstrating > 1.3-fold change at age were identified and categorized through hierarchical clustering analysis. Our results showed that while expression of lipolytic genes was elevated in adipose tissue of diabetic ZDF rats at 12 weeks of age, expression of lipogenic genes was decreased in liver but increased in skeletal muscle of 12 week old diabetic ZDF rats. These results suggest that impairment of hepatic lipogenesis accompanied with the reduced lipogenesis of adipose tissue may contribute to development of diabetes in ZDF rats by increasing lipogenesis in skeletal muscle. Moreover, expression of antioxidant defense genes was decreased in the liver of 12-week old diabetic ZDF rats as well as in the adipose tissue of ZDF rats both at 6 and 12 weeks of age. Cytochrome P450 (CYP) genes were also significantly reduced in 12 week old diabetic liver of ZDF rats. Genes involved in glucose utilization were downregulated in skeletal muscle of diabetic ZDF rats, and the hepatic gluconeogenic gene was upregulated in diabetic ZDF rats. Genes commonly expressed in all three tissue types were also observed. These profilings might provide better fundamental understanding of insulin resistance and development of type 2 diabetes.

scholarly journals Plasma miR-126 levels and its genomic polymorphism SNP rs4636297 in Type 2 diabetes

2020 ◽  
pp. 27-33
Author(s):  
Monireh Rezai ◽  
Shirin Shahbazi ◽  
Nasrin Mansournia
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Diabetic Complications ◽  
Odds Ratio ◽  
Software Tool ◽  
Diabetic Complication ◽  
P Value ◽  
Fisher Exact Test ◽  
Genomic Polymorphism

Since the variation of microRNAs expression has been described in type2 diabetes, we aimed to evaluate the plasma levels of miR-126 with known roles in the angiogenesis. Genomic polymorphism of miR-126 (SNP rs4636297) was also assessed as it is involved in the processing of pri-miR-126 to mature microRNA.Genotyping of the SNP rs4636297 was carried out by PCR-RFLP using HaeII enzyme. Real-time PCR assay was applied to assess miR-126 expression, which the fold change in gene expression was calculated by the Relative Expression Software Tool (REST). Data analysis was performed using exact-like logistic regression, Fisher exact test and the elrm package with the R software. Our data indicated that the group with BMI greater than 30 was at greater risk of diabetes (odds ratio=14.4, p value=0.00), compared with the BMI=19-25. The mean fold decrease in miR-126 gene expression in diabetic samples relative to normal samples was 0.653 (95% confidence interval: 0.012 - 18.765). All patients with the lowest levels of miR-126, had experienced diabetic complications. Considering the AA genotype as the reference, the odds ratio of diabetic complications for the GG and AG genotype were 1.2 and 1.43, respectively. miR-126 is one of the key factors in predisposition to diabetes and diabetic complication. Since the lowest expression of miR-126 leads to the diabetic complications it can be concluded that genetic predisposing factors should be considered in the management and treatment of Type 2 diabetes.

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