MiRNAs with Apoptosis Regulating Potential Are Differentially Expressed in Chronic Exercise-Induced Physiologically Hypertrophied Hearts

Physiological cardiac hypertrophy is an adaptive mechanism, induced during chronic exercise. As it is reversible and not associated with cardiomyocyte death, it is considered as a natural tactic to prevent cardiac dysfunction and failure. Though, different studies revealed the importance of microRNAs (miRNAs) in pathological hypertrophy, their role during physiological hypertrophy is largely unexplored. Hence, this study is aimed at revealing the global expression profile of miRNAs during physiological cardiac hypertrophy. Chronic swimming protocol continuously for eight weeks resulted in induction of physiological hypertrophy in rats and histopathology revealed the absence of tissue damage, apoptosis or fibrosis. Subsequently, the total RNA was isolated and small RNA sequencing was executed. Analysis of small RNA reads revealed the differential expression of a large set of miRNAs during physiological hypertrophy. The expression profile of the significantly differentially expressed miRNAs was validated by qPCR. In silico prediction of target genes by miRanda, miRdB and TargetScan and subsequent qPCR analysis unraveled that miRNAs including miR-99b, miR-100, miR-19b, miR-10, miR-208a, miR-133, miR-191a, miR-22, miR-30e and miR-181a are targeting the genes that primarily regulate cell proliferation and cell death. Gene ontology and pathway mapping showed that the differentially expressed miRNAs and their target genes were mapped to apoptosis and cell death pathways principally via PI3K/Akt/mTOR and MAPK signaling. In summary, our data indicates that regulation of these miRNAs with apoptosis regulating potential can be one of the major key factors in determining pathological or physiological hypertrophy by controlling fibrosis, apoptosis and cell death mechanisms.     

Potential risk modifications of GSTT1, GSTM1 and GSTP1 (glutathione-S-transferases) variants and their association to CAD in patients with type-2 diabetes

Background

Type-2 diabetes mellitus (T2DM) is a major risk factor for coronary artery disease (CAD) resulting in high morbidity and mortality. Glutathione S-transferases (GSTM1, GSTT1 and GSTP1) are known for their broad range of detoxification and in the metabolism of xenobiotics. Recent studies revealed the relationship of GSTs variants with T2DM and CAD. In this case-control study we ascertained the association of GSTs variants in association with the development of CAD in patients with T2DM.

Methods

From the Southern part of India, we enrolled 222 T2DM patients, 290 T2DM patients with CAD and 270 healthy controls matched for age, sex and origin. Serum lipid profiles were measured and DNA was extracted from the blood samples. Multiplex PCR for GSTM1/T1 (null polymorphism) and PCR-RFLP for GSTP1 (105 A > G), were performed for genotyping of study participants. Gene frequency and lipid profiles were statistically analyzed for disease association.

Results

Regression analysis showed that, GSTM1-null genotype is associated with a 2-fold increase (OR = 2.925; 95% CI = 2.078–4.119; P < 0.0001) and GSTT1-null genotype is associated with a 3-fold increase (OR = 3.114; 95% CI = 2.176–4.456; P < 0.0001) to T2DM development. Ile/Val and Val/Val genotypes of GSTP1 also showed a significant risk for T2DM (OR = 1.423, CI = 1.041–1.946; P = 0.027 and OR = 1.829, CI = 1.064–3.142; P = 0.029). Increased odds ratio showed that GSTT1-null genotype had a moderately higher occurrence in T2DM–CAD patients (OR = 1.918, 95% CI = 1.144–3.214; P = 0.014) than T2DM patients without CAD. The level of HDL has significantly decreased in GSTT1-present than in GSTT1-null genotype (43.50 ± 4.10 vs. 45.20 ± 3.90; P = 0.004) when compared with control and T2DM patients. However, LDL level showed a significant increase in GSTT1-null than GSTT1-present genotype (108.70 ± 16.90 vs. 102.20 ± 12.60; P = 0.005). Although the GSTM1-null polymorphism showed no correlation with lipid profiles among T2DM and T2DM with CAD patients, GSTT1-null polymorphism attained a statistical significance for the level of LDL (127 ± 28.20 vs. 134 ± 29.10; P = 0.039) and triglycerides in T2DM with CAD patients (182.10 ± 21.10 vs. 191.20 ± 24.10; P = 0.018).

Conclusion

Our work concludes that GSTM1, GSTT1 and GSTP1 variants might contribute to the development of T2DM and GSTT1 variant alone is involved in the development of T2DM associated CAD complications in the South Indian population.     

GSTM1-null allele predicts rapid disease progression in nondialysis patients and mortality among South Indian ESRD patients

Molecular and Cellular Biochemistry - Neuroblastoma (NB) is the common pediatric tumor of the sympathetic nervous system characterized by poor prognosis. Owing to the challenges such as high tumor...     

Genetic association of Glutathione peroxidase-1 (GPx-1) and NAD(P)H:Quinone Oxidoreductase 1(NQO1) variants and their association of CAD in patients with type-2 diabetes

Coronary artery disease (CAD) is a major health concern and the leading cause of death in individuals with type-2 diabetes mellitus (T2DM). Glutathione peroxidase-1 (GPx-1) and NAD(P)H: quinone oxidoreductase (NQO1) are known for its broad range of detoxification. The role of functional variants of these genes in the development of various disorders is proven. Hereby, we investigated the possible role of these variants in the development of CAD in T2DM patients of South Indian population. In this case-control study, a total of 539 patients (T2DM = 241; T2DM-CAD = 298) and 285 controls were included. The C198T GPx-1 and C609T NQO1 single-nucleotide polymorphisms were analyzed by PCR-RFLP. Further, these genotypes were correlated with blood lipid profile. Regression analysis showed that GPx1-C/T genotype is associated with a 1.35-fold increase (95% CI = 1.000-1.824; P = 0.048) and GPx1-T/T genotype is associated with a 1.76-fold increase (95% CI = 1.011 to 3.066; P = 0.046) to the T2DM development. Increased odds ratio showed that NQO1-T/T genotype had a higher occurrence of CAD in diabetic patients with CAD (95% CI = 1.003-2.674, P = 0.049) than T2DM patients without CAD. The level of triglycerides alone showed significant increase for GPx-1-C/T and -T/T genotypes in Tukey's Post hoc analysis (177.1 ± 19.2 vs. 184 ± 23.5; P = 0.039 and 177.1 ± 19.2 vs. 190 ± 22.4; P = 0.006) among the patients with T2DM-CAD. Our work concludes that GPx-1 variants might contribute to the development of diabetes and both GPx-1 and NQO1 variants confirm the association of CAD in people with T2DM of South Indian population.