Browse
Submit Data
Databases
API
Help

Dataset Information

12 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GRB10 rs1800504 Polymorphism Is Associated With the Risk of Coronary Heart Disease in Patients With Type 2 Diabetes Mellitus.

ABSTRACT: Diabetic vascular complications are one of the main causes of death and disability. Previous studies have reported that genetic variation is associated with diabetic vascular complications. In this study, we aimed to investigate the association between GRB10 polymorphisms and susceptibility to type 2 diabetes mellitus (T2DM) vascular complications. Eight single nucleotide polymorphisms (SNPs) in the GRB10 gene were genotyped by MassARRAY system and 934 patients with type 2 diabetes mellitus (T2DM) were included for investigation. We found that GRB10 rs1800504 CC+CT genotypes were significantly associated with increased risk of coronary heart disease (CHD) compared with TT genotype (OR = 2.24; 95%CI: 1.36-3.70, p = 0.002). Consistently, levels of cholesterol (CHOL) (CC+CT vs. TT, 4.44 ± 1.25 vs. 4.10 ± 1.00 mmol/L; p = 0.009) and low density lipoprotein cholesterin (LDL-CH) (CC+CT vs. TT, 2.81 ± 1.07 vs. 2.53 ± 0.82 mmol/L; p = 0.01) in T2DM patients with TT genotype were significant lower than those of CC+CT genotypes. We further validated in MIHA cell that the total cholesterol (TC) level in GRB10-Mut was significantly reduced compared with GRB10-WT; p = 0.0005. Likewise, the reversed palmitic acid (PA) induced lipid droplet formation in GRB10-Mut was more effective than in GRB10-WT. These results suggest that rs1800504 of GRB10 variant may be associated with the blood lipids and then may also related to the risk of CHD in patients with T2DM.

SUBMITTER: Yang Y

PROVIDER: S-EPMC8505721 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Transcriptional profiles associated with coronary artery disease in Type 2 diabetes mellitus

Project description:Coronary artery disease (CAD) is a common complication of Type 2 diabetes mellitus (T2DM). Understanding the pathogenesis of this complication is essential in both diagnosis and management. Thus, this study aimed to characterize the presence of CAD in T2DM using molecular markers and pathway analyses. Total RNA from peripheral blood mononuclear cells (PBMCs) underwent whole transcriptomic profiling using the Illumina HumanHT-12 v4.0 expression beadchip. Differential gene expression with gene ontogeny analyses was performed, with supporting correlational analyses using weighted correlation network analysis (WGCNA)

2024-03-01 | GSE250283 | GEO

Novel KIF6 polymorphism increases susceptibility to type 2 diabetes mellitus and coronary heart disease in Han Chinese men.

Project description:ObjectivesThe effect of the KIF6 polymorphism Trp719Arg on the risk of T2DM and T2DM with CHD remains unclear.Methods946 unrelated subjects of Han Chinese origin were recruited, comprising 346 controls, 312 T2DM, and 288 T2DM + CHD patients. Genotyping was performed by high-resolution melting curve analysis using real-time qPCR. The impact of the variant on T2DM/T2DM + CHD and gene-sex interaction were evaluated by stepwise multiple regression analysis.ResultsThe frequencies of the Trp719 allele in T2DM and T2DM + CHD patients were similar to the control group, whereas significantly increased 719Arg allele frequencies were observed in male T2DM and T2DM + CHD patients compared with the corresponding control group. Further sex partition analysis revealed that only male 719Arg allele carriers had approximately 3-fold and 5-fold higher risk of T2DM and T2DM + CHD, respectively, than noncarriers. There was also a significant association between carriers and higher TG and lower HDL-C levels.ConclusionThe KIF6 719Arg allele may increase the risk of T2DM and T2DM + CHD only in Han Chinese men by modulating lipid metabolism, especially with regard to TG and HDL.

| S-EPMC4297624 | biostudies-literature

Diabetes mellitus is a coronary heart disease risk equivalent for peripheral vascular disease.

Project description:Diabetes mellitus (diabetes) is associated with significantly increased risk of peripheral vascular disease. Diabetes is classified as a coronary heart disease (CHD) risk equivalent, but it is unknown whether diabetes is a CHD risk equivalent for peripheral vascular disease. The objective was to evaluate the odds of peripheral arterial disease (PAD) or carotid artery stenosis (CAS) among participants with diabetes, CHD, or both, compared with participants without diabetes or CHD, in a nationwide vascular screening database. We hypothesized that diabetes and CHD would confer similar odds of PAD and CAS.MethodsA cross-sectional analysis of all eligible Life Line Screening Inc participants age 30 to 90 years with ankle brachial indices for PAD (ankle brachial index <0.9 in either leg) and carotid artery duplex ultrasonographic imaging for CAS (internal CAS ≥50%) was performed (N=3,522,890).ResultsDiabetes and CHD were present in 372,330 (10.7%) and 182,760 (5.8%) of participants, respectively; PAD and CAS were present in 155,000 (4.4%) and 130,347 (3.7%) of participants. After multivariable adjustment, PAD odds were 1.56 (95% CI 1.54-1.59) and 1.69 (95% CI 1.65-1.73) for participants with diabetes or CHD, respectively. Participants with both diabetes and CHD had 2.75-fold increased odds of PAD (95% CI 2.66-2.85). Findings were similar for CAS; compared with no diabetes or CHD, CAS odds increased for participants with diabetes alone (1.53, 95% CI 1.50-1.56), CHD alone (1.72, 95% CI 1.68-1.76), and both diabetes and CHD (2.57, 95% CI 2.49-2.66). Findings were consistent for women and men.ConclusionIn a large database of more than 3.5 million self-referred participants, diabetes was a CHD risk equivalent for PAD and CAS, and participants with comorbid diabetes and CHD had an especially robust association with PAD and CAS. Counseling regarding screening and prevention of peripheral vascular disease may be useful for patients with diabetes.

| S-EPMC5325078 | biostudies-literature

AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Project description:Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death due to complications, among which coronary heart disease (CHD) represents the most common and severe one. Given a huge number of T2DM patients, it is thus increasingly important to identify the ones with high risks of CHD complication but the quantitative method is still not available. Here, we first curated a dataset of 1,273 T2DM patients including 304 and 969 ones with or without CHD, respectively. We then trained an artificial intelligence (AI) model using randomly selected 4/5 of the dataset and use the rest data to validate the performance of the model. The result showed that the model achieved an AUC of 0.77 (fivefold cross-validation) on the training dataset and 0.80 on the testing dataset. To further confirm the performance of the presented model, we recruited 1,253 new T2DM patients as totally independent testing dataset including 200 and 1,053 ones with or without CHD. And the model achieved an AUC of 0.71. In addition, we implemented a model to quantitatively evaluate the risk contribution of each feature, which is thus able to present personalized guidance for specific individuals. Finally, an online web server for the model was built. This study presented an AI model to determine the risk of T2DM patients to develop to CHD, which has potential value in providing early warning personalized guidance of CHD risk for both T2DM patients and clinicians.

| S-EPMC7467935 | biostudies-literature

10-year risk estimation for type 2 diabetes mellitus and coronary heart disease in Kuwait: a cross-sectional population-based study.

Project description:BackgroundType 2 diabetes mellitus (T2DM), coronary heart disease (CHD) and metabolic syndrome (MetS) are major healthcare problems in Kuwait. The present study was designed to determine the prevalence of MetS, and to estimate the 10-year risk for developing T2DM and CHD among the general population in Kuwait.MethodsA descriptive, cross-sectional survey was undertaken in 1800 individuals without diabetes or a history of cardiovascular disease (CVD). They were selected from six governorates using two stage convenience sampling. The questionnaire was developed using the Finnish Diabetes Risk Score (FINDRISK), Framingham Risk Score [FRS] and the 2009 Joint Statement criteria for diagnosis of MetS as a framework. Descriptive and multivariate logistic regression analyses were used.ResultsThe response rate was 89.4%. More than half (60.8%; 95% CI: 58.4-63.2) of responders were either overweight or obese. One hundred and ninety seven (12.2%) subjects had blood pressure (BP) ? 140/90 mm Hg. Almost three-in-ten (28.3%: 26.2-30.6) subjects had fasting plasma glucose (FPG) levels ? 5.6 mmol/l, of whom 86.0% and 14.0% had impaired fasting glucose (IFG) and screen detected T2DM, respectively. MetS was present in 512 (31.8%; 29.5-34.2) respondents. Just under one third (n = 481; 29.9%; 27.7-32.2) of participants were at moderate, high, or very high risk of developing T2DM, while 283 (17.6%: 15.8-19.6) were at moderate/high 10-year risk of developing CHD. Approximately one-in-ten (8.5%; 7.2-9.9) subjects were at moderate/high/very high 10-year risk of developing both T2DM/CHD. T2DM risk was higher for females compared to males (p < 0.001); however, the pattern was reversed in terms of the risk of developing CHD or T2DM/CHD. The risk of developing T2DM, CHD, or T2DM/CHD was greater among those aged ? 45 years, and those having MetS (p<0.001).ConclusionsThe current findings highlight the need for multifaceted interventions for prevention.

| S-EPMC4309592 | biostudies-literature

Polygenic risk for coronary heart disease acts through atherosclerosis in type 2 diabetes.

Project description:BackgroundType 2 diabetes increases the risk of coronary heart disease (CHD), yet the mechanisms involved remain poorly described. Polygenic risk scores (PRS) provide an opportunity to understand risk factors since they reflect etiologic pathways from the entire genome. We therefore tested whether a PRS for CHD influenced risk of CHD in individuals with type 2 diabetes and which risk factors were associated with this PRS.MethodsWe tested the association of a CHD PRS with CHD and its traditional clinical risk factors amongst individuals with type 2 diabetes in UK Biobank (N = 21,102). We next tested the association of the CHD PRS with atherosclerotic burden in a cohort of 352 genome-wide genotyped participants with type 2 diabetes who had undergone coronary angiograms.ResultsIn the UK Biobank we found that the CHD PRS was strongly associated with CHD amongst individuals with type 2 diabetes (OR per standard deviation increase = 1.50; p = 1.5 × 10- 59). But this CHD PRS was, at best, only weakly associated with traditional clinical risk factors, such as hypertension, hyperlipidemia, glycemic control, obesity and smoking. Conversely, in the angiographic cohort, the CHD PRS was strongly associated with multivessel stenosis (OR = 1.65; p = 4.9 × 10- 4) and increased number of major stenotic lesions (OR = 1.35; p = 9.4 × 10- 3).ConclusionsPolygenic predisposition to CHD is strongly associated with atherosclerotic burden in individuals with type 2 diabetes and this effect is largely independent of traditional clinical risk factors. This suggests that genetic risk for CHD acts through atherosclerosis with little effect on most traditional risk factors, providing the opportunity to explore new biological pathways.

| S-EPMC6993460 | biostudies-literature

Peroxisome proliferator-activated receptor-? polymorphism (rs1801282) is associated with obesity in Egyptian patients with coronary artery disease and type 2 diabetes mellitus.

Project description:Objective:Peroxisome Proliferator-Activated Receptor-? (PPAR-?) gene is one of the possible genes linking diabetes mellitus (DM) with coronary artery disease (CAD). The aim of this study is to clarify whether PPAR-? Pro12Ala polymorphism is associated with the development of CAD in type 2 diabetic patients and to evaluate PPAR-? Pro12Ala polymorphism genetic distribution in type 2 DM (T2DM) Egyptian subjects. Methods:PPAR-? Pro12Ala polymorphism was determined by Real-Time PCR in serum of 405 subjects classified into 4 groups; T2DM patients (n = 105), T2DM with CAD (n = 100), CAD patients (n = 100) and healthy controls (n = 100). Results:The PPAR-? Pro12Ala polymorphism was associated significantly with T2DM with CAD (group2) (OR = 3, 95% CI = (1.5-6); p = 0.001). In this study, T2DM with CAD complications carrying the PPAR-? Pro12Ala polymorphism had higher BMI than those without the PPAR-? Pro12Ala polymorphism (p < 0.0001). CAD patients carrying PPAR-? Pro12Ala polymorphism had considerable insulin resistance features. Plasma paraoxanase 1(PON1) level was considerably reduced among our 3 studied groups in comparison to control group (p < 0.001). Conclusions:PPAR-? Pro12Ala polymorphism might represent a novel risk factor for CAD in T2DM.

| S-EPMC6296640 | biostudies-literature

Genetic polymorphisms of angiotensin-2 type 1 receptor and angiotensinogen and risk of renal dysfunction and coronary heart disease in type 2 diabetes mellitus.

Project description:Increased activation of the renin-angiotensin system (RAS) may be important in promoting coronary heart disease (CHD) and renal dysfunction, but limited data are available on associations between angiotensin type 1 receptor (AGT1R) and angiotensinogen (AGT) genotypes in type 2 diabetes.Study participants were diabetics from the Health Professionals Follow-Up Study (HPFS) and the Nurses' Health Study (NHS). We analyzed single nucleotide polymorphisms (SNPs) associated with cardiovascular pathophysiology (including AGT1R T573C, AGT1R A1166C, and AGT M235T) and presence of renal dysfunction (eGFR<60 ml/min/1.73 m2) or history of CHD.The AGT1R 1166 C-allele was associated with eGFR<60 ml/min/1.73 m2 (multivariable OR 1.63 [1.01, 2.65]) in the HPFS men (n = 733) and in the combined dataset (n = 1566) (OR 1.42 [1.02, 1.98]). The AGT1R 1166 C-allele was also associated with CHD in men (OR 1.57 [1.10, 2.24]). In NHS women (n = 833), AGT 235T-allele was associated with CHD (OR 1.72 [1.20, 2.47]). Removal of hypertension from the fully adjusted models did not influence results, suggesting that the associations may not be mediated by hypertension. There were significant interactions between sex and AGT1R 1166 C-allele (p = 0.008) and AGT M235T (p = 0.03) in models for CHD. No significant associations were seen between AGT1R T573 C-allele and renal dysfunction or CHD.Polymorphisms in AGT1R and AGT genes are associated with renal dysfunction and CHD in type 2 diabetes and further support the important role of the RAS in these complications. Sex may modify associations between AGT1R 1166 C-allele and AGT 235T and CHD in type 2 diabetes.

| S-EPMC2669070 | biostudies-literature

Transcriptional profiles associated with coronary artery disease in Type 2 diabetes mellitus

Project description:Transcriptional profiles associated with coronary artery disease in Type 2 diabetes mellitus

| PRJNA1053296 | ENA

Percutaneous coronary intervention versus coronary artery bypass grafting in patients with coronary heart disease and type 2 diabetes mellitus: Cumulative meta-analysis.

Project description:Previous meta-analyses showed that coronary artery bypass grafting (CABG) has lower all-cause mortality than percutaneous coronary intervention (PCI) for the management of coronary heart disease (CHD), but the long-term outcomes were not analyzed thoroughly in patients with type 2 diabetes mellitus (T2DM). To perform a meta-analysis of randomized controlled trials (RCTs) to explore the long-term effectiveness between CABG and PCI in patients with T2DM and study the temporal trends using a cumulative meta-analysis. PubMed, Embase, Cochrane library, and Clinical Trials Registry for eligible RCTs published up to September 2020. The outcomes were all-cause death, cardiac death, myocardial infarction, repeat revascularization, and stroke. Nine RCTs and 4566 patients were included. CABG resulted in better outcomes than PCI in terms of all-cause death (RR = 1.41, 95%CI: 1.22-1.63, p < 0.001), cardiac death (RR = 1.56, 95%CI: 1.25-1.95, p < 0.001), and repeat revascularization (RR = 2.68, 95%CI: 1.86-3.85, p < 0.001), but with difference regarding the occurrence of myocardial infarction (RR = 1.20, 95%CI: 0.78-1.85, p = 0.414), while PCI was associated with better outcomes in terms of stroke occurrence (RR = 0.51, 95%CI: 0.34-0.77, p = 0.001). The cumulative meta-analysis for all-cause death showed that the differences between CABG and PCI started to be significant at 3 years of follow-up, while the difference became significant at 5 years for cardiac death. In patients with CHD and T2DM, CABG results in better outcomes than PCI in terms of all-cause death, cardiac mortality, and repeat revascularization, while PCI had better outcomes in terms of stroke. The differences are mainly observed over the long-term follow-up.

| S-EPMC8259162 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data