HYPERTENSION PREDICTION BY MULTI-OBJECTIVE OPTIMIZATION METHODS

Feature selection is the important part of microarray analysis and it aims finding most representative subset of the biomarkers. But selection process is a challenging task due to the high dimensional nature of gene expression data. This should also be independent of sample variations in the dataset. In this paper we present a novel hybrid method that incorporates a multi-objective optimization method, called Pareto Optimal approach (PO) with Analytical Hierarchy Process (AHP). Firstly, PO was used to selects relevant subsets of the attributes, but it does not give any information about priorities of the selected bio-markers. In order to prevent this problem, AHP is incorporated with PO. AHP prioritize the selected genes by PO. This is further supported with different biomarker selection methods. The proposed method was tested on hypertension prediction

Comparison of Aggregators for Multi-Objective SNP Selection

SNPs (Single Nucleotide Polymorphisms) are genomic variants that associate with many genetic characteristics. These variants can also be utilized to track the on-going mutation in population genetics. The goal of this study was to select the most relevant SNP subsets for discriminating ethnic groups. Each SNP was evaluated by its: i) Mutual information, ii) Relief-F score, iii) Loadings of the first principal component, iv) Loadings of the second principal component. Combining these four feature ranking criteria in different ways, three different aggregation methods (Pareto Optimal, Condorcet, MC4) were compared with respect to their SNP selection accuracies. Results showed that SNP subsets chosen with Pareto Optimal yielded better classification accuracy

Mediastinal adipose tissue expresses a pathogenic profile of 11 beta-hydroxysteroid dehydrogenase Type 1, glucocorticoid receptor, and CD68 in patients with coronary artery disease

WOS: 000319639600002PubMed ID: 22955009Objective: Cardiac visceral fat is accepted to be a new marker for cardiometabolic risk due to its association with increased cardiovascular risk factors. This study aimed to compare the expression of 11 beta hydroxysteroid dehydrogenases (11 beta-HSD)-1, glucocorticoid receptor (GCR), and CD68 in mediastinal and subcutaneous adipose tissues (MAT, and SAT, respectively) and to assess their possible relationships with the development of coronary artery disease (CAD). Methods and results: Expression of 11 beta-HSD-1, GCR, and CD68 mRNA levels were measured by quantitative real-time polymerase chain reaction in MAT and SAT tissues of 37 patients undergoing coronary artery bypass grafting due to CAD (CAD group) and 19 non-CAD patients (controls) undergoing heart valve surgery. 11 beta-HSD-1 in MAT and SAT and GCR expression in MAT and SAT were found to be significantly increased in CAD group when compared with controls (P<.05, respectively). In CAD group, 11 beta-HSD-1 mRNA levels were found to be significantly higher in MAT compared to SAT (P<.05). CD68 mRNA levels were significantly higher in MAT of CAD group compared to controls (P<.05). Immunohistochemical analyses demonstrated the presence of CD68+ cells and increased 11 beta-HSD-1 expression in MAT of CAD group compared to SAT. Conclusion: The present study demonstrate that the mediastinal fat exhibits a pathogenic mRNA profile of 11 beta-HSD-1, GCR, and CD68. The identification of 11 beta-HSD-1 expression within the mediastinal fat, along with increased GCR expressions and the presence of CD68+ cells highlight that MAT potentially contributes to the pathogenesis of CAD. (C) 2013 Elsevier Inc. All rights reserved.Turkish Diabetes Foundation; Sanovel Pharmaceuticals CompanyThis study was funded by Turkish Diabetes Foundation and Sanovel Pharmaceuticals Company

The role of mediastinal adipose tissue 11β-hydroxysteroid d ehydrogenase type 1 and glucocorticoid expression in the development of coronary atherosclerosis in obese patients with ischemic heart disease

<p>Abstract</p> <p>Background</p> <p>Visceral fat deposition and its associated atherogenic complications are mediated by glucocorticoids. Cardiac visceral fat comprises mediastinal adipose tissue (MAT) and epicardial adipose tissue (EAT), and MAT is a potential biomarker of risk for obese patients.</p> <p>Aim</p> <p>Our objective was to evaluate the role of EAT and MAT 11beta-hydroxysteroid dehydrogenase type 1 (11β-HSD-1) and glucocorticoid receptor (GCR) expression in comparison with subcutaneous adipose tissue (SAT) in the development of coronary atherosclerosis in obese patients with coronary artery disease (CAD), and to assess their correlations with CD68 and fatty acids from these tissues.</p> <p>Methods and results</p> <p>Expression of 11β-HSD-1 and GCR was measured by qRT-PCR in EAT, MAT and SAT of thirty-one obese patients undergoing coronary artery bypass grafting due to CAD (obese CAD group) and sixteen obese patients without CAD undergoing heart valve surgery (controls). 11β-HSD-1 and GCR expression in MAT were found to be significantly increased in the obese CAD group compared with controls (p < 0.05). In the obese CAD group, 11β-HSD-1 and GCR mRNA levels were strongly correlated in MAT. Stearidonic acid was significantly increased in EAT and MAT of the obese CAD group and arachidonic acid was significantly expressed in MAT of the obese male CAD group (p < 0.05).</p> <p>Conclusions</p> <p>We report for the first time the increased expression of 11β-HSD-1 and GCR in MAT compared with EAT and SAT, and also describe the interrelated effects of stearidonic acid, HOMA-IR, plasma cortisol and GCR mRNA levels, explaining 40.2% of the variance in 11β-HSD-1 mRNA levels in MAT of obese CAD patients. These findings support the hypothesis that MAT contributes locally to the development of coronary atherosclerosis via glucocorticoid action.</p

The role of mediastinal adipose tissue 11 beta-hydroxysteroid d ehydrogenase type 1 and glucocorticoid expression in the development of coronary atherosclerosis in obese patients with ischemic heart disease

Background: Visceral fat deposition and its associated atherogenic complications are mediated by glucocorticoids. Cardiac visceral fat comprises mediastinal adipose tissue (MAT) and epicardial adipose tissue (EAT), and MAT is a potential biomarker of risk for obese patients