Microarray Analysis Reveals Novel Features of the Muscle Aging Process in Men and Women

Abstract

To develop a global view of muscle transcriptional differences between older men and women and sex-specific aging, we obtained muscle biopsies from the biceps brachii of young and older men and women and profiled the whole-genome gene expression using microarray. A logistic regression-based method in combination with an intensity-based Bayesian moderated t test was used to identify significant sex- and aging-related gene functional groups. Our analysis revealed extensive sex differences in the muscle transcriptome of older individuals and different patterns of transcriptional changes with aging in men and women. In older women, we observed a coordinated transcriptional upregulation of immune activation, extracellular matrix remodeling, and lipids storage; and a downregulation of mitochondrial biogenesis and function and muscle regeneration. The effect of aging results in sexual dimorphic alterations in the skeletal muscle transcriptome, which may modify the risk for developing musculoskeletal and metabolic diseases in men and women.

Discovering Differences in Gender-related Skeletal Muscle Aging through the Majority Voting-Based Identification of Differently Expressed Genes

“…The main goal of this study is to extend the work reported by Liu et al [2] by identifying important genes with good generalization ability. So in this work we prefer to applied work reported by Liu et al [2], propose a method and make a comparison with them in order to show the effectiveness of our approach using two datasets which will be explained in proposed method and material section.…”

“…Sexual dimorphism of skeletal muscle can occur due to age [1] and many of these age-related changes in skeletal muscle appear to be influenced by gender [2], [17], [18]. For example, the muscle mass of men is larger than that of women, especially for type II fibers, while the type I muscle fibers proportion of oxidative is higher in women [3].…”

“…To find differences between men and women, they used t-test, Pearson correlation and multiple regression to determine the relationship between age and skeletal muscle. Liu et al [2] used basic statistical analysis to make a comparison between males and females in each set of age using gene expression profiles from skeletal muscle tissue. They identified important sex and age related gene functional groups using intensity-based Bayesian moderated t-test and logistic regression.…”

“…So in this work we prefer to applied work reported by Liu et al [2], propose a method and make a comparison with them in order to show the effectiveness of our approach using two datasets which will be explained in proposed method and material section.…”

“…The scope of this paper is the selection of the most reliable genes and the evaluation of classification power of selected genes. Experiments were conducted on Micro Array gene expression dataset and results have indicated a significant increase in classification accuracy when compared with the genes obtained by the system in [2]. In this study we applied our proposed technique on two data sets and our system is able to identify differentially-expressed genes for the following three case studies in relation to age and gender differences This paper is organized as follows.…”