Study examines how diet impacts gene expression in fat tissue
As many as 40% of Americans are obese, putting them at an increased risk for high blood pressure, diabetes, stroke, heart disease and certain cancers, according to the CDC. New research from the University of Delaware aims to tackle the issue by investigating obesity at the gene level.
Principal investigator Ibra Fancher, assistant professor of kinesiology and applied physiology in UD’s College of Health Sciences, discovered significant differences in gene expression in adipose tissue, more commonly known as fat. Formerly considered fat storage, adipose tissue is now recognized as a vital endocrine organ. Dysfunction in the tissue is link to significant cardiovascular and metabolic diseases.
“The comparison of VAT to SAT is stark. The expansion of visceral fat, along with its inflammatory role in obesity and metabolic diseases, is particularly severe,” Fancher said. “This study highlights the impact of obesity, which often results from a poor diet and sedentary lifestyle, on specific adipose tissues, which is very likely a major factor affecting health. That makes the affected tissue a good target for interventions to protect other systems.”
Among the thousands of genes analyz, แทงบอล UFABET ราคาดีที่สุด ไม่มีขั้นต่ำ Fancher’s research identified four genes related to metabolism, calcium handling and inflammation that warrant further investigation.
An innovative approach
Fancher worked with Bruce Kingham, director of UD’s Sequencing and Genotyping Center at the Delaware Biotechnology Institute, and Shawn Polson, director of the Bioinformatics Data Science Core at UD’s Center for Bioinformatics and Computational Biology and Delaware INBRE, as well as a research professor in the Department of Computer and Information Sciences in the College of Engineering.
“Our core facilities provide access to the advanced technologies and expertise for RNA sequencing and bioinformatics that enable UD investigators to do this type of research,” Polson said. “In this project, when we analyzed the data, it very clearly pointed us to obesity-related genes and pathways that varied between VAT and SAT.”