How Does Belly Fat Increase Your Risk of Metabolic Diseases?
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A new study investigates the link between belly fat and the risk of metabolic illness.
Changes in the body in reaction to an increase in belly fat have been studied as part of a TwinsUK study, providing new insight into the cause of metabolic disease.
Researchers from King’s College London examined how epigenetic marks (measures of how the human body reads
Among them was a gene with detected epigenetic alterations that were identified as a possible method by which diet might impact belly fat accumulation, as well as other epigenetic marks that translate genetic risk effects on metabolic health.
The results also gave the researchers a better understanding of the molecular changes brought on by an increase in belly fat and the effects these changes have on gene expression and insulin resistance.
“With rapidly rising rates of obesity worldwide, it is important that we understand how elevated body fat affects us at the molecular level and how this translates to metabolic disease risk,” said Dr. Jordana Bell, Reader in Epigenomics in the School of Life Course & Population Sciences.
Metabolic diseases – the most common of which is diabetes – disrupt normal metabolism or the process of converting food to energy on a cellular level.
While previous studies in this field have explored the role of epigenetic marks in overall obesity using body mass index (BMI), the build-up of belly fat deep within the abdomen is known to be a greater risk factor for metabolic disease than BMI alone.
“Our study brings us one step closer to this goal by identifying an epigenetic signature of excess belly fat, understanding its genetic and dietary triggers, and characterizing its functional impacts and clinical consequences for insulin resistance,” added Dr. Bell.
Based on the results of the study, the researchers also developed an epigenetic predictor of insulin resistance, relating their findings to the clinical consequences of elevated belly fat.
Colette Christiansen, a Ph.D. researcher in the School of Life Course & Population Sciences said: “It is exciting to see that when we combine many different layers of biological information, we can start to unravel the mechanisms which drive the state of our biological health.”
Reference: “Adipose methylome integrative-omic analyses reveal genetic and dietary metabolic health drivers and insulin resistance classifiers” by Colette Christiansen, Max Tomlinson, Melissa Eliot, Emma Nilsson, Ricardo Costeira, Yujing Xia, Sergio Villicaña, Olatz Mompeo, Philippa Wells, Juan Castillo-Fernandez, Louis Potier, Marie-Claude Vohl, Andre Tchernof, Julia El-Sayed Moustafa, Cristina Menni, Claire J. Steves, Karl Kelsey, Charlotte Ling, Elin Grundberg, Kerrin S. Small and Jordana T. Bell, 18 July 2022, Genome Medicine.
DOI: 10.1186/s13073-022-01077-z
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