Evaluation Of DNA Methylation Pattern In Healthy, Sarcopenic, Obese And Sarcopenic Obese Older Women: A Cross-Sectional Study

INTRODUCTION: Sarcopenic obesity (SO), a functional and clinical condition, is characterized by the coexistence of obesity, marked by excess fat mass and sarcopenia, characterized by reduced strength and muscle mass. SO is associated with a greater risk of health-related adverse clinical outcomes than older adults with obesity and sarcopenia alone. Aging is accompanied by numerous changes epigenetic. These aging-associated epigenetic changes include DNA methylation, histone modification, chromatin remodeling, non-coding RNA (ncRNA) regulation, and RNA modification. DNA methylation occurs at cytosines in CpG dinucleotides in the genome and undergoes changes with age in various human tissues. Furthermore, many genes can be hypermethylated or hypomethylated on CpG islands with the aging process. Soon, a broad exploration of candidate genes may provide insights into the pathogenesis of Sarcopenic obesity. Therefore, understanding how aging, specifically sarcopenia, obesity and Sarcopenic obesity, is regulated by epigenetic factors, favors the development of new treatment therapies. Thus, the objective will be to evaluate the epigenetic influence on sarcopenic obesity in older women. METHODS: This cross-sectional study will include 32 older women who will be classified as healthy, with sarcopenia, obesity and sarcopenic obesity living in the city of Ribeirão Preto - SP. The older adults will perform total and regional body scan using iDXA, anthropometric assessment, functional capacity tests, peripheral blood collection for analysis of biochemical markers and epigenetics. For statistical analysis will be used t test, ANOVA, linear regression models and Pearson correlation. Analyzes of the complete methylome will be performed using bioinformatics tools, including specific software. EXPECTED RESULTS: It is expected that there will be differences in the patterns of methylation and gene expression in the diseases analyzed. In addition, it is expected to clarify how epigeneti