Genetic predisposition to left ventricular hypertrophy and the potential involvement of cystatin-C in untreated hypertension

Association Between AGT M235T and Left Ventricular Mass in Vietnamese Patients Diagnosed With Essential Hypertension

Background: Increasing left ventricular mass in hypertensive patients is an independent prognostic marker for adverse cardiovascular outcomes. Genetic factors have been shown to critically affect left ventricular mass. AGT M235T is one of the genetic polymorphisms that may influence left ventricular mass due to its pivotal role in the regulation of plasma angiotensinogen level as well as hypertension pathophysiology in Asian populations. Currently, how M235T affects left ventricular mass is not well-described in Vietnamese hypertensive patients. This study aimed to investigate the association between M235T and left ventricular mass in Vietnamese patients diagnosed with essential hypertension.

Materials and Methods:AGT M235T genotyping and 2D echocardiography were performed on 187 Vietnamese subjects with essential hypertension. All the ultrasound parameters were obtained to calculate the left ventricular mass index according to the American Society of Echocardiography and the European Association of Cardiovascular Imaging 2015 guidelines. Other clinical characteristics were also recorded, including age, gender, duration of hypertension, hypertensive treatment, lifestyle, renal function, fasting plasma glucose, and lipid profile.

Results: MT and TT genotypes were determined in 30 and 157 subjects, respectively. AGT M235T genotype, duration of hypertension, body mass index, and ejection fraction statistically affected the left ventricular mass index, which was significantly greater in TT compared to MT carriers after adjusting for confounding factors.

Conclusion: The TT genotype of AGT M23T was associated with greater left ventricular mass in Vietnamese patients diagnosed with essential hypertension.

Pressure overload promotes cystatin C secretion of cardiomyocytes to regulate the MAPK signaling pathway and mediate cardiac hypertrophy

Background

This study aimed to compare serum cystatin C (CysC) levels between hypertensive and non-hypertensive patients, and to explore the correlation between serum CysC and left ventricular hypertrophy (LVH). We also investigated the effects of pressure overload on cardiac expression and secretion of CysC, and explored the direct effect of CysC on the hypertrophy of primary cardiomyocytes.

Methods

Serum CysC was compared in patients with hypertension (634 patients) and those without hypertension (411 patients), and the correlation between serum CysC levels and LVH was explored. A transverse aortic constriction (TAC) mouse model and a mechanical stretch model of primary cardiomyocytes and fibroblasts were developed to compare cardiac expression and secretion of CysC under pressure overload. After intervention with exogenous CysC, we compared the cross-sectional area of primary cardiomyocytes, cardiac hypertrophy-associated gene expression, and phosphorylation of the MAPK signaling pathway.

Results

In chronic kidney disease (CKD) stage 1 patients, serum CysC was higher in hypertensive patients independent of renal function. Serum CysC elevation was an independent predictor of LVH after correction for endogenous creatinine clearance rate (eCCr), left ventricular ejection fraction (LVEF), and NT-proBNP. Cardiac levels of CysC in TAC mice were elevated. CST3 gene expression was upregulated, and both intracellular and culture supernatant CysC levels increased after mechanical stretch of primary cardiomyocytes. After intervention with exogenous CysC, the cross-sectional area of primary cardiomyocytes increased, as well as the gene expression of Nppa, Nppb, and Myh7, and the phosphorylation of ERK, p38, and TAK1.

Conclusions

Serum CysC levels were higher in hypertensive patients, and serum CysC elevation was an independent predictor of LVH after correction for eCCr. Pressure overload induced greater cardiomyocyte secretion of CysC. Exogenous CysC can enter cardiomyocytes, having a pro-hypertrophic effect on primary cardiomyocytes through regulation of the MAPK signaling pathways.

Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks

BACKGROUND

Hypertension and bronchial asthma are a major issue for people's health. As of 2014, approximately one billion adults, or ~ 22% of the world population, have had hypertension. As of 2011, 235-330 million people globally have been affected by asthma and approximately 250,000-345,000 people have died each year from the disease. The development of the effective treatment therapies against these diseases is complicated by their comorbidity features. This is often a major problem in diagnosis and their treatment. Hence, in this study the bioinformatical methodology for the analysis of the comorbidity of these two diseases have been developed. As such, the search for candidate genes related to the comorbid conditions of asthma and hypertension can help in elucidating the molecular mechanisms underlying the comorbid condition of these two diseases, and can also be useful for genotyping and identifying new drug targets.

RESULTS

Using ANDSystem, the reconstruction and analysis of gene networks associated with asthma and hypertension was carried out. The gene network of asthma included 755 genes/proteins and 62,603 interactions, while the gene network of hypertension - 713 genes/proteins and 45,479 interactions. Two hundred and five genes/proteins and 9638 interactions were shared between asthma and hypertension. An approach for ranking genes implicated in the comorbid condition of two diseases was proposed. The approach is based on nine criteria for ranking genes by their importance, including standard methods of gene prioritization (Endeavor, ToppGene) as well as original criteria that take into account the characteristics of an associative gene network and the presence of known polymorphisms in the analysed genes. According to the proposed approach, the genes IL10, TLR4, and CAT had the highest priority in the development of comorbidity of these two diseases. Additionally, it was revealed that the list of top genes is enriched with apoptotic genes and genes involved in biological processes related to the functioning of central nervous system.

CONCLUSIONS

The application of methods of reconstruction and analysis of gene networks is a productive tool for studying the molecular mechanisms of comorbid conditions. The method put forth to rank genes by their importance to the comorbid condition of asthma and hypertension was employed that resulted in prediction of 10 genes, playing the key role in the development of the comorbid condition. The results can be utilised to plan experiments for identification of novel candidate genes along with searching for novel pharmacological targets.

Can metabolically healthy obesity be explained by diet, genetics, and inflammation?

A substantial proportion of obese individuals do not present cardiometabolic complications such as diabetes, hypertension, or dyslipidemia. Some, but not all, prospective studies observe similar risk of cardiovascular events and all-cause mortality among individuals with this so-called "metabolically healthy obese" (MHO) phenotype, compared to the metabolically healthy normal weight or metabolically healthy non-obese phenotypes. Compared to the metabolically unhealthy obese (MUO) phenotype, MHO is often characterized by a more favorable inflammatory profile, less visceral fat, less infiltration of macrophages into adipose tissue, and smaller adipocyte cell size. Tipping the inflammation balance in adipose tissue might be particularly important for metabolic health in the obese. While the potential role of genetic predisposition or lifestyle factors such as diet in the MHO phenotype is yet to be clarified, it is well known that diet affects inflammation profile and contributes to the functionality of adipose tissue. This review will discuss genetic predisposition and the molecular mechanisms underlying the potential effect of food on the development of the metabolic phenotype characteristic of obesity.

Computational analysis of functional single nucleotide polymorphisms associated with the CYP11B2 gene

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variations in humans and play a major role in the genetics of human phenotype variation and the genetic basis of human complex diseases. Recently, there is considerable interest in understanding the possible role of the CYP11B2 gene with corticosterone methyl oxidase deficiency, primary aldosteronism, and cardio-cerebro-vascular diseases. Hence, the elucidation of the function and molecular dynamic behavior of CYP11B2 mutations is crucial in current genomics. In this study, we investigated the pathogenic effect of 51 nsSNPs and 26 UTR SNPs in the CYP11B2 gene through computational platforms. Using a combination of SIFT, PolyPhen, I-Mutant Suite, and ConSurf server, four nsSNPs (F487V, V129M, T498A, and V403E) were identified to potentially affect the structure, function, and activity of the CYP11B2 protein. Furthermore, molecular dynamics simulation and structure analyses also confirmed the impact of these nsSNPs on the stability and secondary properties of the CYP11B2 protein. Additionally, utilizing the UTRscan, MirSNP, PolymiRTS and miRNASNP, three SNPs in the 3'UTR region were predicted to exhibit a pattern change in the upstream open reading frames (uORF), and eight microRNA binding sites were found to be highly affected due to 3'UTR SNPs. This cataloguing of deleterious SNPs is essential for narrowing down the number of CYP11B2 mutations to be screened in genetic association studies and for a better understanding of the functional and structural aspects of the CYP11B2 protein.

Serum cystatin C concentration as an independent marker for hypertensive left ventricular hypertrophy

Background

Serum cystatin C levels can be used to predict morbidity and mortality in patients with cardiovascular disease. However, the clinical relevance of serum cystatin C levels in patients with hypertensive left ventricular hypertrophy (LVH) has rarely been investigated. We designed the present study to investigate whether serum cystatin C levels are associated with cardiac structural and functional alterations in hypertensive patients.

Methods

We enrolled 823 hypertensive patients and classified them into two groups: those with LVH (n = 287) and those without LVH (n = 536). All patients underwent echocardiography and serum cystatin C testing. We analyzed the relationship between serum cystatin C levels and LVH.

Results

Serum cystatin C levels were higher in hypertensive patients with LVH than in those without LVH (P < 0.05). Using linear correlation analysis, we found a positive correlation between serum cystatin C levels and interventricular septal thickness (r = 0.247, P < 0.01), posterior wall thickness (r = 0.216, P < 0.01), and left ventricular weight index (r = 0.347, P < 0.01). When analyzed by multiple linear regression, the positive correlations remained between serum cystatin C and interventricular septal thickness (β = 0.167, P < 0.05), posterior wall thickness (β = 0.187, P < 0.05), and left ventricular weight index (β = 0.245, P < 0.01).

Conclusion

Serum cystatin C concentration is an independent marker for hypertensive LVH.

Transcriptional network analysis for the regulation of left ventricular hypertrophy and microvascular remodeling

Hypertension and cardiomyopathies share maladaptive changes of cardiac morphology, eventually leading to heart failure. These include left ventricular hypertrophy (LVH), myocardial fibrosis, and structural remodeling of coronary microcirculation, which is the morphologic hallmark of coronary microvascular dysfunction. To pinpoint the complex molecular mechanisms and pathways underlying LVH-associated cardiac remodeling independent of blood pressure effects, we employed gene network approaches to the rat heart. We used the Spontaneously Hypertensive Rat model showing many features of human hypertensive cardiomyopathy, for which we collected histological and histomorphometric data of the heart and coronary vasculature, and genome-wide cardiac gene expression. Here, we provide a large catalogue of gene co-expression networks in the heart that are significantly associated with quantitative variation in LVH, microvascular remodeling, and fibrosis-related traits. Many of these networks were significantly conserved to human idiopathic and/or ischemic cardiomyopathy patients, suggesting a potential role for these co-expressed genes in human heart disease.