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The 9p21 coronary artery disease locus and kidney dysfunction in patients with Type 2 diabetes mellitus.

ABSTRACT: BACKGROUND:We investigated whether the coronary artery disease (CAD) locus on chromosome 9p21 (as represented by single nucleotide polymorphism rs2383206) is associated with low estimated glomerular filtration rate (eGFR) or increased urinary albumin excretion in patients with Type 2 diabetes mellitus (T2DM). METHODS:Four samples, including a total of 3167 patients, were studied. The presence of low eGFR (<60 mL/min/1.73m(2)) was estimated from serum creatinine by means of the Modification of Diet in Renal Disease Study equation. Increased urinary albumin excretion was defined as an albumin-creatinine ratio (ACR) ?2.5 mg/mmol in men and ?3.5 mg/mmol in women. RESULTS:No association was found between rs2383206 and low eGFR or increased ACR in each sample as well as in a pooled analysis (overall odds ratio = 1.07, 95% confidence interval 0.94-1.22, P = 0.31 and overall odds ratio = 1.00, 95% confidence interval 0.90-1.12, P = 0.95, respectively). No interaction was observed between rs2383206 and poor glycemic control [HbA1c was above the median in the pooled sample (7.7%) in modulating eGFR or ACR (P for interaction = 0.42 and 0.90, respectively)]. CONCLUSION:Variability at the 9p21 CAD locus is unlikely to play a role in modulating susceptibility to kidney dysfunction in patients with T2DM.

SUBMITTER: De Cosmo S

PROVIDER: S-EPMC6584132 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature

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The 9p21 coronary artery disease locus and kidney dysfunction in patients with Type 2 diabetes mellitus.

De Cosmo Salvatore S Prudente Sabrina S Lamacchia Olga O Lucchesi Daniela D Shah Hetal H Mendonca Christine C Pucci Laura L Pucci Laura L Mercuri Luana L Gervino Ernest V EV Hauser Thomas H TH Bailetti Diego D Penno Giuseppe G Cignarelli Mauro M Doria Alessandro A Trischitta Vincenzo V

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 20120523 12

<h4>Background</h4>We investigated whether the coronary artery disease (CAD) locus on chromosome 9p21 (as represented by single nucleotide polymorphism rs2383206) is associated with low estimated glomerular filtration rate (eGFR) or increased urinary albumin excretion in patients with Type 2 diabetes mellitus (T2DM).<h4>Methods</h4>Four samples, including a total of 3167 patients, were studied. The presence of low eGFR (<60 mL/min/1.73m(2)) was estimated from serum creatinine by means of the Mod ...[more]

PMID: 22622453

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Project description:A common allele on chromosome 9p21 has been repeatedly associated with increased risk of coronary artery disease (CAD) in the general population. However, the magnitude of this effect in the population with diabetes has not been well characterized.To examine the association of the 9p21 variant with CAD in individuals with type 2 diabetes and evaluate its interaction with poor glycemic control.(1) Case-control study of 734 type 2 diabetes patients (322 with angiographically diagnosed CAD and 412 with no evidence of CAD) who were recruited between 2001 and 2006 at the Joslin Clinic, Beth Israel Deaconess Medical Center; and (2) independent cohort study of 475 type 2 diabetes patients from the Joslin Clinic whose survival status was monitored from their recruitment between 1993 and 1996 until December 31, 2004. Participants for both studies were genotyped for a representative single-nucleotide polymorphism at 9p21 (rs2383206) and characterized for their long-term glycemic control by averaging multiple hemoglobin A(1c) (HbA(1c)) measurements taken in the years before study entry.For the case-control study, association between single-nucleotide polymorphism rs2383206 and CAD defined as angiographically documented stenosis greater than 50% in a major coronary artery or a main branch thereof was assessed and for the cohort study, cumulative 10-year mortality was documented.Individuals who were homozygous for the risk allele were significantly more frequent among case than control participants (42.3% vs 28.9P = .0002). This association was unaffected by adjustment for cardiovascular risk factors, but the effect of the risk genotype was significantly magnified (adjusted P for interaction = .048) in the presence of poor glycemic control (worst tertile of the distribution of HbA(1c) at examination). Relative to the CAD risk for patients with neither a 9p21 risk allele nor poor glycemic control, the CAD odds for participants having 2 risk alleles but not poor glycemic control were increased 2-fold (odds ratio [OR], 1.99; 95% confidence interval [CI], 1.17-3.41), whereas the odds for study participants with the same genotype and with poor glycemic control were increased 4-fold (OR, 4.27; 95% CI, 2.26-8.01). The interaction was stronger (adjusted P = .005) when a measure of long-term glycemic control (7-year average rather than most recent HbA(1c)) was used with ORs of 7.83 (95% CI, 3.49-17.6) for participants having 2 risk alleles and a history of poor glycemia and 1.54 (95% CI, 0.72-3.30) for participants with the same genotype but without this exposure. A similar interaction between 9p21 variant and poor glycemic control was observed with respect to cumulative 10-year mortality in the cohort study (43.6% in patients with 2 risk alleles and poor glycemic control, 23.1% in individuals with only the 2 risk alleles, 30.0% in individuals with only poor glycemic control, and 31.6% in individuals with neither factor, P for interaction, = .036).In this study population, the CAD risk associated with the 9p21 variant was increased in the presence of poor glycemic control in type 2 diabetes.

Project description:BackgroundCase-control Genome-Wide Association Studies (GWAS) have identified single nucleotide polymorphisms (SNPs) at the 9p21 locus as risk factors for coronary artery disease (CAD). The locus does not contain a clear candidate gene. Hence, the results of GWAS have raised an intense interest in delineating the basis for the observed association. We analyzed association of 4 SNPs at the 9p21 locus with the severity and progression of coronary atherosclerosis, as determined by serial quantitative coronary angiograms (QCA) in the well-characterized Lipoprotein Coronary Atherosclerosis Study (LCAS) population. The LCAS is a randomized placebo-control longitudinal follow-up study in patients with CAD conducted to test the effects of fluvastatin on progression or regression of coronary atherosclerosis.MethodsExtensive plasma lipid levels were measured at the baseline and 2 1/2 years after randomization. Likewise serial QCA was performed at the baseline and upon completion of the study. We genotyped the population for 4 SNPs, previously identified as the susceptibility SNPs for CAD in GWAS, using fluorogenic 5' nuclease assays. We reconstructed the haplotypes using Phase 2, analyzed SNP and haplotype effects using the Thesias software as well as by the conventional statistical methods.ResultsOnly Caucasians were included since they comprised 90% of the study population (332/371 with available DNA sample). The 4 SNPs at the 9p21 locus were in tight linkage disequilibrium, leading to 3 common haplotypes in the LCAS population. We found no significant association between quantitative indices of severity of coronary atherosclerosis, such as minimal lumen diameter and number of coronary lesions or occlusions and the 9p21 SNPs and haplotypes. Likewise, there was no association between quantitative indices of progression of coronary atherosclerosis and the SNPs or haplotypes. Similarly, we found no significant SNP or haplotype effect on severity and progression of coronary atherosclerosis.ConclusionWe conclude the 4 SNPs at the 9p21 locus analyzed in this study do not impart major effects on the severity or progression of coronary atherosclerosis. The effect size may be very modest or the observed association of the CAD with SNPs at the 9p21 locus in the case-control GWAS reflect involvement of vascular mechanisms not directly related to the severity or progression of coronary atherosclerosis.

Project description:BackgroundCoronary artery disease (CAD) is the leading cause of morbidity and mortality in patients with type 2 diabetes mellitus (T2DM). The purpose of the present study was to discriminate the Indian CAD patients with or without T2DM by using multiple pathophysiological biomarkers.MethodsUsing sensitive multiplex protein assays, we assessed 46 protein markers including cytokines/chemokines, metabolic hormones, adipokines and apolipoproteins for evaluating different pathophysiological conditions of control, T2DM, CAD and T2DM with CAD patients (T2DM_CAD). Network analysis was performed to create protein-protein interaction networks by using significantly (p?<?0.05) altered protein markers in each disease using STRING 10.5 database. We used two supervised analysis methods i.e., between class analysis (BCA) and principal component analysis (PCA) to reveals distinct biomarkers profiles. Further, random forest classification (RF) was used to classify the diseases by the panel of markers.ResultsOur two supervised analysis methods BCA and PCA revealed a distinct biomarker profiles and high degree of variability in the marker profiles for T2DM_CAD and CAD. Thereafter, the present study identified multiple potential biomarkers to differentiate T2DM, CAD, and T2DM_CAD patients based on their relative abundance in serum. RF classified T2DM based on the abundance patterns of nine markers i.e., IL-1?, GM-CSF, glucagon, PAI-I, rantes, IP-10, resistin, GIP and Apo-B; CAD by 14 markers i.e., resistin, PDGF-BB, PAI-1, lipocalin-2, leptin, IL-13, eotaxin, GM-CSF, Apo-E, ghrelin, adipsin, GIP, Apo-CII and IP-10; and T2DM _CAD by 12 markers i.e., insulin, resistin, PAI-1, adiponectin, lipocalin-2, GM-CSF, adipsin, leptin, Apo-AII, rantes, IL-6 and ghrelin with respect to the control subjects. Using network analysis, we have identified several cellular network proteins like PTPN1, AKT1, INSR, LEPR, IRS1, IRS2, IL1R2, IL6R, PCSK9 and MYD88, which are responsible for regulating inflammation, insulin resistance, and atherosclerosis.ConclusionWe have identified three distinct sets of serum markers for diabetes, CAD and diabetes associated with CAD in Indian patients using nonparametric-based machine learning approach. These multiple marker classifiers may be useful for monitoring progression from a healthy person to T2DM and T2DM to T2DM_CAD. However, these findings need to be further confirmed in the future studies with large number of samples.

Dataset Information

The 9p21 coronary artery disease locus and kidney dysfunction in patients with Type 2 diabetes mellitus.

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The 9p21 coronary artery disease locus and kidney dysfunction in patients with Type 2 diabetes mellitus.

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