Endothelial Nitric Oxide Synthase Gene Polymorphism (G894T) and Diabetes Mellitus (Type II) among South Indians

The objective of the study is to find out whether the endothelial nitric oxide synthase (eNOS) G894T single-nucleotide polymorphism is associated with type 2 diabetes mellitus in South Indian (Tamil) population. A total number of 260 subjects comprising 100 type 2 diabetic mellitus patients and 160 healthy individuals with no documented history of diabetes were included for the study. DNA was isolated, and eNOS G894T genotyping was performed using the polymerase chain reaction followed by restriction enzyme analysis using Ban II. The genotype distribution in patients and controls were compatible with the Hardy-Weinberg expectations (P > 0.05). Odds ratio indicates that the occurrence of mutant genotype (GT/TT) was 7.2 times (95% CI = 4.09–12.71) more frequent in the cases than in controls. Thus, the present study demonstrates that there is an association of endothelial nitric oxide synthase gene (G894T) polymorphism with diabetes mellitus among South Indians

Inhibitor of differentiation 4 (Id4) is a potential tumor suppressor in prostate cancer

Abstract Background Inhibitor of differentiation 4 (Id4), a member of the Id gene family is also a dominant negative regulator of basic helix loop helix (bHLH) transcription factors. Some of the functions of Id4 appear to be unique as compared to its other family members Id1, Id2 and Id3. Loss of Id4 gene expression in many cancers in association with promoter hypermethylation has led to the proposal that Id4 may act as a tumor suppressor. In this study we provide functional evidence that Id4 indeed acts as a tumor suppressor and is part of a cancer associated epigenetic re-programming. Methods Data mining was used to demonstrate Id4 expression in prostate cancer. Methylation specific polymerase chain reaction (MSP) analysis was performed to understand molecular mechanisms associated with Id4 expression in prostate cancer cell lines. The effect of ectopic Id4 expression in DU145 cells was determined by cell cycle analysis (3H thymidine incorporation and FACS), expression of androgen receptor, p53 and cyclin dependent kinase inhibitors p27 and p21 by a combination of RT-PCR, real time-PCR, western blot and immuno-cytochemical analysis. Results Id4 expression was down-regulated in prostate cancer. Id4 expression was also down-regulated in prostate cancer line DU145 due to promoter hyper-methylation. Ectopic Id4 expression in DU145 prostate cancer cell line led to increased apoptosis and decreased cell proliferation due in part by an S-phase arrest. In addition to S-phase arrest, ectopic Id4 expression in PC3 cells also resulted in prolonged G2/M phase. At the molecular level these changes were associated with increased androgen receptor (AR), p21, p27 and p53 expression in DU145 cells. Conclusion The results suggest that Id4 acts directly as a tumor suppressor by influencing a hierarchy of cellular processes at multiple levels that leads to a decreased cell proliferation and change in morphology that is possibly mediated through induction of previously silenced tumor suppressors.</p

SOD1 Gene +35A/C (exon3/intron3) Polymorphism in Type 2 Diabetes Mellitus among South Indian Population

Superoxide dismutase is an antioxidant enzyme that is involved in defence mechanisms against oxidative stress. Cu/Zn SOD is a variant that is located in exon3/intron3 boundary. The aim of the present study was to investigate whether the Cu/Zn SOD (+35A/C) gene polymorphism is associated with the susceptibility to type 2 diabetes mellitus among south Indian population. The study included patients with type 2 diabetes mellitus (n=100) and healthy controls (n=75). DNA was isolated from the blood and genotyping of Cu/Zn SOD gene polymorphism was done by polymerase chain reaction based restriction fragment length polymorphism method. Occurrence of different genotypes and normal (A) and mutant (C) allele frequencies were determined. The frequency of the three genotypes of the total subjects was as follows: homozygous wild-type A/A (95%), heterozygous genotype A/C (3%), and homozygous mutant C/C (2%). The mutant (C) allele and the mutant genotypes (AC/CC) were found to be completely absent among the patients with type 2 diabetes mellitus. Absence of mutant genotype (CC) shows that the Cu/Zn SOD gene polymorphism may not be associated with the susceptibility to type 2 diabetes mellitus among south Indian population.</jats:p

Wide complex tachycardia differentiation: A reappraisal of the state-of-the-art

The primary goal of the initial ECG evaluation of every wide complex tachycardia is to determine whether the tachyarrhythmia has a ventricular or supraventricular origin. The answer to this question drives immediate patient care decisions, ensuing clinical workup, and long-term management strategies. Thus, the importance of arriving at the correct diagnosis cannot be understated and has naturally spurred rigorous research, which has brought forth an ever-expanding abundance of manually applied and automated methods to differentiate wide complex tachycardias. In this review, we provide an in-depth analysis of traditional and more contemporary methods to differentiate ventricular tachycardia and supraventricular wide complex tachycardia. In doing so, we: (1) review hallmark wide complex tachycardia differentiation criteria, (2) examine the conceptual and structural design of standard wide complex tachycardia differentiation methods, (3) discuss practical limitations of manually applied ECG interpretation approaches, and (4) highlight recently formulated methods designed to differentiate ventricular tachycardia and supraventricular wide complex tachycardia automatically

Malignant Arrhythmia in Apical Ballooning Syndrome: Risk Factors and Outcomes

Objectives: We sought to determine the frequency and outcomes with symptomatic arrhythmia in patients with apical ballooning syndrome (ABS). Methods: A retrospective review of the Mayo Clinic Angiography database was conducted to identify patients who met the Mayo criteria for ABS. Patients with documented arrhythmias formed the study group, and 31 randomly selected patients with ABS but without arrhythmia formed the control group. Results: Out of 105 patients identified with ABS, 6 (5.7%) women aged 69 +/- 9 years experienced significant arrhythmia (ventricular fibrillation, asystole), 2 patients died, and 1 required permanent pacemaker implantation. When compared with controls, the study group showed no significant difference with respect to ECG characteristics (QT, QRS duration or axis) except for R-R interval variability (see comments below) (30.6±6 vs 14.5±17 p = 0.0004), QTc, and P-R interval. Patients without arrhythmia were more likely to be on beta-blocker therapy than the study population (33% vs 80.6% p = 0.02). Conclusion: Life-threatening arrhythmia is uncommon (5.7%) with ABS despite marked, structural abnormalities. When arrhythmias do occur, the outcome is poor. Prominent variability in R-R intervals appears to be predictive of significant arrhythmias in ABS. The role of beta-blocker therapy in preventing arrhythmia with ABS requires further investigation

Fear of Self-Injecting and Self-Testing and the Related Risk Factors in Adolescents with Type 1 Diabetes: A Cross-Sectional Study

INTRODUCTION: This study was conducted to investigate the fear of self-injecting and self-testing and its related risk factors among adolescents with type 1 diabetes mellitus (T1DM). METHODS: From December 2015 to April 2016, a cross-sectional study was performed at the Diabetes Treatment Center, Prince Sultan Military Medical City, Riyadh, Saudi Arabia on 142 registered T1DM patients between 13 and 19 years of age. Selection of the respondents was done deliberately and carefully, and the suitable patients were given specific identification numbers. A trained interviewer administered the short Diabetes Fear of Injecting and Self-testing Questionnaire to each patient. It included two subscales estimating the fear of self-injection (FSI) and fear of self-testing (FST). Each patient’s age, gender, weight, height, adjusted body mass index (BMI), duration of the diabetic condition, treatment modality, insulin dosage, and glycosylated hemoglobin (HbA1c) were recorded. RESULTS: The study found that the overall mean score of FSI was 2.44 ± 0.96, whereas that of FST was 2.25 ± 1.04. Adolescents above 16 years of age, treated with multiple daily insulin (MDI), on higher insulin doses, having poor glycemic control, and fewer finger pricks were observed to show significant risk factors for fear of self-injection of insulin, whereas in those patients having a long duration of T1DM, MDI treated, on higher insulin doses, with poor glycemic control, and fewer finger pricks showed significant risk factors for fear of self-testing of blood glucose. From the regression analysis it was evident that the variables of higher age, MDI treatment, and fewer finger pricks were independent risk factors for fear of self-injection of the insulin, whereas a fewer number of finger pricks was an independent risk factor for fear of self-testing the blood glucose. CONCLUSION: Fear of self-injecting and fear of self-testing are common among adolescents with T1DM. Therefore, it is essential to ensure comprehensive multidisciplinary diabetes education to lower the risk factor of fear of injections

Differentiating wide complex tachycardias: A historical perspective

One of the most critical and challenging skills is the distinction of wide complex tachycardias into ventricular tachycardia or supraventricular wide complex tachycardia. Prompt and accurate differentiation of wide complex tachycardias naturally influences short- and long-term management decisions and may directly affect patient outcomes. Currently, there are many useful electrocardiographic criteria and algorithms designed to distinguish ventricular tachycardia and supraventricular wide complex tachycardia accurately; however, no single approach guarantees diagnostic certainty. In this review, we offer an in-depth analysis of available methods to differentiate wide complex tachycardias by retrospectively examining its rich literature base - one that spans several decades

Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Background Ever since the Coronavirus disease (COVID-19) outbreak emerged in China, there has been several attempts to predict the epidemic across the world with varying degrees of accuracy and reliability. This paper aims to carry out a short-term projection of new cases; forecast the maximum number of active cases for India and selected high-incidence states; and evaluate the impact of three weeks lock down period using different models. Methods We used Logistic growth curve model for short term prediction; SIR models to forecast the maximum number of active cases and peak time; and Time Interrupted Regression model to evaluate the impact of lockdown and other interventions. Results The predicted cumulative number of cases for India was 58,912 (95% CI: 57,960, 59,853) by May 08, 2020 and the observed number of cases was 59,695. The model predicts a cumulative number of 1,02,974 (95% CI: 1,01,987, 1,03,904) cases by May 22, 2020. As per SIR model, the maximum number of active cases is projected to be 57,449 on May 18, 2020. The time interrupted regression model indicates a decrease of about 149 daily new cases after the lock down period, which is statistically not significant. Conclusion The Logistic growth curve model predicts accurately the short-term scenario for India and high incidence states. The prediction through SIR model may be used for planning and prepare the health systems. The study also suggests that there is no evidence to conclude that there is a positive impact of lockdown in terms of reduction in new cases

Automatic wide complex tachycardia differentiation using mathematically synthesized vectorcardiogram signals

BACKGROUND: Automated wide complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) may be accomplished using novel calculations that quantify the extent of mean electrical vector changes between the WCT and baseline electrocardiogram (ECG). At present, it is unknown whether quantifying mean electrical vector changes within three orthogonal vectorcardiogram (VCG) leads (X, Y, and Z leads) can improve automated VT and SWCT classification. METHODS: A derivation cohort of paired WCT and baseline ECGs was used to derive five logistic regression models: (i) one novel WCT differentiation model (i.e., VCG Model), (ii) three previously developed WCT differentiation models (i.e., WCT Formula, VT Prediction Model, and WCT Formula II), and (iii) one all-inclusive model (i.e., Hybrid Model). A separate validation cohort of paired WCT and baseline ECGs was used to trial and compare each model\u27s performance. RESULTS: The VCG Model, composed of WCT QRS duration, baseline QRS duration, absolute change in QRS duration, X-lead QRS amplitude change, Y-lead QRS amplitude change, and Z-lead QRS amplitude change, demonstrated effective WCT differentiation (area under the curve [AUC] 0.94) for the derivation cohort. For the validation cohort, the diagnostic performance of the VCG Model (AUC 0.94) was similar to that achieved by the WCT Formula (AUC 0.95), VT Prediction Model (AUC 0.91), WCT Formula II (AUC 0.94), and Hybrid Model (AUC 0.95). CONCLUSION: Custom calculations derived from mathematically synthesized VCG signals may be used to formulate an effective means to differentiate WCTs automatically