Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians

ACE2 and TMPRSS2 polymorphisms in various diseases with special reference to its impact on COVID-19 disease

Background

A carboxypeptidase protein called ACE2 is found in many organs. ACE2 protein can play a pivotal role to regulate the pathological changes of several diseases including COVID-19. TMPRSS2 gene is expressed in many human tissues and plays a critical role in spreading the infection of the viruses including coronavirus and progression of prostate cancer, and hence could be used as a potential drug target. There are limited reports on occurrence of genetic polymorphism of ACE2 and TMPRSS2 in general population, expressions in pathological conditions, and its impact on COVID-19 disease. Hence we comprehended the occurrence of ACE2, TMPRSS2 polymorphism in general population, expression in various diseases and its impact on COVID-19 disease.

Method

We utilized multiple databases, PubMed (Medline), EMBASE and Google Scholar for literature search.

Description

ACE2 polymorphisms have significant linkages with various diseases, including severity of SARS-CoV-2 infection. Genetic variations of these genes contribute to individual's genetic susceptibility to viral infection and its subsequent clearance. The diversity and variations in the population distribution of these genes, might greatly influence and in turn reflect into the observed population and gender differences of the severity and clinical outcomes of SARS-CoV-2 infection.

Conclusion

There are diversities in distribution of ACE2 and TMPRSS2 polymorphisms among different populations. Analyzing the genetic variants and expression of ACE2 and TMPRSS2 genes, in a population may provide the genetic marker for susceptibility or resistance against the coronavirus infection, which might be useful for identifying the susceptible population groups for targeted interventions and for making relevant public health policy decisions.

Factor analyses of metabolic syndrome: A systematic review with special reference to Asian Indians

BACKGROUND

Metabolic syndrome is the constellation of cardiovascular disease risk factors and a growing public health issue affecting more than 20% of world population. Factor analysis is a powerful mathematical tool in exploring the underlying factors of any chronic diseases. Although it is most often criticized for its contrasting results for a common expression differently interpreted by the researchers yet fit the original data equally well.

OBJECTIVE

The present study aims to find out the underlying physiological domains for the phenotypic attribution of metabolic syndrome as documented in several studies.

METHODOLOGY

Literature search was done using Google Scholar, PUBMED, Research Gate and manual searching to identify relevant studies of the selected topic.

CONCLUSION

More than one physiological domain has been explored for the expression of metabolic syndrome explored in different studies. A reason for this disparity may be because most of explored factors are just mathematically significant but not biologically. Another reason may be the varied factor load concern. Therefore, a fixed factor load value is needed to be restricted for all studies across world.

Assessing clustering of metabolic syndrome components available at primary care for Bantu Africans using factor analysis in the general population

Background

To provide a step-by-step description of the application of factor analysis and interpretation of the results based on anthropometric parameters(body mass index or BMI and waist circumferenceor WC), blood pressure(BP), lipid-lipoprotein(triglycerides and HDL-C) and glucose among Bantu Africans with different numbers and cutoffs of components of metabolic syndrome(MS).

Methods

This study was a cross-sectional, comparative, and correlational survey conducted between January and April 2005, in Kinshasa Hinterland, DRC. The clustering of cardiovascular risk factors was defined in all, MS group according to IDF(WC, BP, triglycerides, HDL-C, glucose), absence and presence of cardiometabolic risk(CDM) group(BMI,WC, BP, fasting glucose, and post-load glucose).

Results

Out of 977 participants, 17.4%( n = 170), 11%( n = 107), and 7.7%(n = 75) had type 2 diabetes mellitus(T2DM), MS, and CDM, respectively. Gender did not influence on all variables. Except BMI, levels of the rest variables were significantly higher in presence of T2DM than non-diabetics. There was a negative correlation between glucose types and BP in absence of CDM. In factor analysis for all, BP(factor 1) and triglycerides-HDL(factor 2) explained 55.4% of the total variance. In factor analysis for MS group, triglycerides-HDL-C(factor 1), BP(factor 2), and abdominal obesity-dysglycemia(factor 3) explained 75.1% of the total variance. In absence of CDM, glucose (factor 1) and obesity(factor 2) explained 48.1% of the total variance. In presence of CDM, 3 factors (factor 1 = glucose, factor 2 = BP, and factor 3 = obesity) explained 73.4% of the total variance.

Conclusion

The MS pathogenesis may be more glucose-centered than abdominal obesity-centered in not considering lipid-lipoprotein , while BP and triglycerides-HDL-C could be the most strong predictors of MS in the general population. It should be specifically defined by ethnic cut-offs of waist circumference among Bantu Africans.

Ethnic differences in the prevalence of metabolic syndrome: results from a multi-ethnic population-based survey in Malaysia

Introduction

The prevalence of metabolic syndrome is increasing disproportionately among the different ethnicities in Asia compared to the rest of the world. This study aims to determine the differences in the prevalence of metabolic syndrome across ethnicities in Malaysia, a multi-ethnic country.

Methods

In 2004, we conducted a national cross-sectional population-based study using a stratified two-stage cluster sampling design (N = 17,211). Metabolic syndrome was defined according to the International Diabetes Federation/National Heart, Lung and Blood Institute/American Heart Association (IDF/NHLBI/AHA-2009) criteria. Multivariate models were used to study the independent association between ethnicity and the prevalence of the metabolic syndrome.

Results

The overall mean age was 36.9 years, and 50.0% participants were female. The ethnic distribution was 57.0% Malay, 28.5% Chinese, 8.9% Indian and 5.0% Indigenous Sarawakians. The overall prevalence of the metabolic syndrome was 27.5%, with a prevalence of central obesity, raised triglycerides, low high density lipoprotein cholesterol, raised blood pressure and raised fasting glucose of 36.9%, 29.3%, 37.2%, 38.0% and 29.1%, respectively. Among those <40 years, the adjusted prevalence ratios for metabolic syndrome for ethnic Chinese, Indians, and Indigenous Sarawakians compared to ethnic Malay were 0.81 (95% CI 0.67 to 0.96), 1.42 (95% CI 1.19 to 1.69) and 1.37 (95% CI 1.08 to 1.73), respectively. Among those aged ≥40 years, the corresponding prevalence ratios were 0.86 (95% CI 0.79 to 0.92), 1.25 (95% CI 1.15 to 1.36), and 0.94 (95% CI 0.80, 1.11). The P-value for the interaction of ethnicity by age was 0.001.

Conclusions

The overall prevalence of metabolic syndrome in Malaysia was high, with marked differences across ethnicities. Ethnic Chinese had the lowest prevalence of metabolic syndrome, while ethnic Indians had the highest. Indigenous Sarawakians showed a marked increase in metabolic syndrome at young ages.

The ACE insertion/deletion polymorphism and its association with metabolic syndrome

The angiotensin-1-converting enzyme (ACE) gene has been suggested to be involved in the development of metabolic syndrome (MetS). However, results have been inconsistent. In this study, a meta-analysis was performed to investigate the association between ACE insertion/deletion (I/D) polymorphism and MetS. Published literature from PubMed, EMBASE, and ISI Web of Science databases was searched for eligible publications. All studies assessing the association between ACE I/D polymorphism and MetS were included. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated using a fixed- or random-effects model. Ten studies (1939 cases/2845 controls) for ACE I/D polymorphism were included in this meta-analysis. Most of the studies were performed in whites. The ACE I/D polymorphism was associated with an increased OR of MetS under a dominant model (DD + ID vs II: OR = 1.39; 95% CI, 1.22-1.60; P < .001). Using this model, similar results were found among studies using different ethnic populations, studies using different MetS definitions, and studies with more than 100 cases. This meta-analysis indicated that the D allele of the ACE gene, known to be related to higher levels of angiotensinogen, is associated with an increased OR of MetS. However, given the limited sample size, this association warrants further investigation.

Cluster analysis reveals important determinants of cardiometabolic risk patterns in Filipino women

With modernization, the Philippines has experienced increasing rates of obesity and related cardiometabolic diseases. Studying how risk factors cluster in individuals may offer insight into cardiometabolic disease etiology. We used cluster analysis to group women who share the following cardiometabolic biomarkers: fasting triglycerides, HDL-C and LDL-C, C-reactive protein, systolic and diastolic blood pressure, homeostasis model assessment of insulin resistance, and fasting glucose. Participants included 1,768 women (36-69 years) in the Cebu Longitudinal Health and Nutrition Survey. We identified five distinct clusters characterized by: 1) low levels of all risk factors (except HDL-C and LDL-C) or "healthy"; 2) low HDL-C in the absence of other risk factors; 3) elevated blood pressure; 4) insulin resistance; and 5) high C-reactive protein. We identified predictors of cluster membership using multinomial logistic regression. Clusters differed by age, menopausal status, socioeconomic status, saturated fat intake, and combinations of overweight (BMI >23) and high waist circumference (>80 cm). In comparison to the healthy cluster, overweight women without high waist circumference were more likely to be in the high CRP cluster (OR=2.26, 95% CI=1.24-4.11), while women with high waist circumference and not overweight were more likely to be in the elevated blood pressure (OR=2.56, 95% CI=1.20-5.46) or insulin resistant clusters (OR=4.05, 95% CI=1.39-11.8). In addition, a diet lower in saturated fat uniquely increased the likelihood of membership to the low HDL-C cluster. Cluster analysis identified biologically meaningful groups, predicted by modifiable risk factors; this may have implications for the prevention of cardiometabolic diseases.

Association of metabolic syndrome with obesity measures, metabolic profiles, and intake of dietary fatty acids in people of Asian Indian origin

OBJECTIVE

The present community-based cross-sectional study was aimed to examine the association of metabolic syndrome (MS) with obesity measures, metabolic profiles, and intake of dietary fatty acids in Asian Indian population.

PATIENTS AND METHODS

A total of 350 adult (30 years and above) individuals (184 males and 166 females) inhabiting in and around Kolkata, India participated in this study. MS was defined using the protocol specifically designed for Asian Indian population.

RESULTS

The prevalence of MS in the study was 31.4%. The prevalence was significantly higher (P < 0.01) in females (48.2%) as compared to males (16.3%). It was observed that males without MS had significantly higher mean waist circumference (WC P < 0.05); waist-hip ratio (WHR; P < 0.001); triglyceride (TG; P < 0.05); very low density lipoprotein cholesterol (VLDLc; P < 0.05) and fasting blood glucose (FBG; P < 0.01) as compared to females without MS. Significant differences were also observed for dietary intake of total fatty acids (TFA; P < 0.001); saturated fatty acids (SFA; P < 0.001) and polyunsaturated fatty acids (PUFA; P < 0.001) between individuals with and without MS. However, no significant association was observed in individuals with MS after controlling for age and sex. On the other, WC and body mass index (BMI) had significant correlation with SFA: mono unsaturated fatty acids (MUFA; P < 0.01) in individuals without MS even after controlling for age and sex.

CONCLUSION

It seem reasonable to argue that while dealing with MS in Asian Indians, clinicians should consider obesity measures, metabolic profiles and dietary fatty acids simultaneously.