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abstract:Objectives: This study aimed to examine the association of angiotensin-converting enzyme (ACE) and glutathione S-transferase (GST) gene polymorphisms with body mass index (BMI) in hypertensive North Indians. Methods: This case-control study was carried out between May 2013 and November 2014 at the Era's Lucknow Medical College & Hospital, Lucknow, India, and included 378 subjects divided into three groups. One group constituted 253 hypertensive individuals (sustained diastolic blood pressure of >90 mmHg and systolic blood pressure of >140 mmHg) who were subcategorised according to normal (<25 kg/m 2 ) or high (≥25 kg/m 2 ) BMI. The third group consisted of 125 age-, gender-and ethnically-matched normotensive controls with a normal BMI. Gene polymorphisms were evaluated by polymerase chain reaction. The genotypic and allelic frequency distribution among both groups were analysed. Results: A significant difference was found between GST theta 1-null and GST mu 1-positive genotype frequencies among the hypertensive overweight/obese individuals and controls (P = 0.014 and 0.033, respectively). However, no difference was observed in the frequency of ACE polymorphisms. ACE insertion/insertion genotype (P = 0.006), insertion and deletion alleles (P = 0.007 each) and GST theta 1-null and GST theta 1-positive genotypes (P = 0.006 each) were found to differ significantly between hypertensive cases and controls, regardless of BMI. Conclusion: ACE and GST gene polymorphisms were not associated with BMI but were significantly associated with hypertension among the studied group of North Indians.

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Type 2 diabetes mellitus (T2DM) is a non-autoimmune, complex, heterogeneous and polygenic metabolic disease condition characterized by persistent elevated blood glucose levels (hyperglycemia). India as said to be the diabetic capital of the world is likely to experience the largest increase in T2DM and a greater number of diabetic individuals in the world by the year 2030. Identification of specific genetic variations in a particular ethnic group has a critical role in understanding the risk of developing T2DM in a much efficient way in future. These genetic variations include numerous types of polymorphisms among which single nucleotide polymorphisms (SNPs) is the most frequent. SNPs are basically located within the regulatory elements of several gene sequences. There are scores of genes interacting with various environmental factors affecting various pathways and sometimes even the whole signalling network that cause diseases like T2DM. This review discusses the biomarkers for early risk prediction of T2DM. Such predictions could be used in order to understand the pathogenesis of T2DM and to better diagnostics, treatment, and eventually prevention.

It is concluded that ACE (rs 4646994), FABP2 (rs1799883) and GST (GSTM1 null or positive genotype and GSTT1 null or positive genotype) genes polymorphism are associated with HTN. Further investigation with a larger sample size may be required to validate this study.

Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance. Various environmental and genetic factors interact and increase the risk of T2DM and its complications. Among the various genetic factors associated with T2DM, single nucleotide polymorphism in different candidate genes have been studied intensively and the resulting genetic variants have been found to have either positive or negative association with T2DM thereby increasing or decreasing the risk of T2DM, respectively. In this review, we will focus on Guanine nucleotide-binding protein subunit beta 3 (GNB3), Norepinephrine Transporter (NET), Potassium Channel gene (KCNJ11), Transcription Factor 7-Like 2 (TCF7L2) and Glucocorticoid receptor (GRL) genes and their association with T2DM studied in different ethnic groups. The products of these genes are involved in the biochemical pathway leading to T2DM. Polymorphisms in these genes have been intensively studied in individuals of different ethnic origins. Results show that genetic variants of TCF7L2 and KCNJ11 genes have potential to emerge as a risk biomarker for T2DM whereas results of GNB3, GRL and NET genes have been controversial when studied in individuals of different ethnicities. We have tried to summarize the results generated globally in context to the selected genes which could possibly help researchers working in this field and would eventually help in understanding the mechanistic pathways of T2DM leading early diagnosis and prevention.

Background Type 2 diabetes mellitus (T2DM) is a global major health problem resulting from interaction of environmental and genetic factors, examples of the latter being KCNJ11 (coding for part of the ATP-sensitive potassium channel) and SDF-1β (coding for chemokine CXCL12). Our case-control study was conducted to assess whether recessive, dominant or additive genotype model associations of KCNJ11 (E23K, rs5219) and SDF-1β (G801A, rs1801157) were more strongly linked to type 2 diabetes. Subjects & Methods Genetic polymorphism analysis was performed by polymerase chain reaction-restriction fragment length polymorphism. Alleles and genotype frequencies between 200 cases and 200 controls were determined and compared. Results The dominant (EE v EK + KK, p = 0.022) and additive (EK v EE + KK, p = 0.021) models, but not the recessive model (KK v EE + EK, p = 0.727) of KCNJ11 were linked to diabetes. Similarly, the dominant (GG v GA + AA, p < 0.001) and additive (AG v GG + AA, p=<0.001) models, but not the recessive model (AA v AG + GG, p = 0.430) of SDF-1β were linked to diabetes. The A allele (p = 0.006) of SDF-1β was protective against the risk of T2DM. Conclusion Both dominant and additive models in both KCNJ11 (E23K, rs5219) and SDF-1β (G801A, rs1801157) genetic polymorphisms are significantly associated with type 2 diabetes.

The present study highlighted the fact that association of HPV with oral leukoplakia seems to be overestimated and needs to be reexamined with consensus Human papilloma virus (HPV) primers to detect HPV types with more valid empirical relationships.