They find a relationship between abdominal fat, the development of type 2 diabetes and coronary heart disease.
A genetic predisposition to a higher waist-salad relationship for the body mass index (an abdominal adiposity [fat]) was associated with a greater risk of type 2 diabetes and coronary heart disease, according to a study that was published this last Tuesday.
Obesity, typically defined on the basis of body mass index (BMI), is one of the main causes of type 2 diabetes and coronary heart disease (CHD).However, for any given BMI, the distribution of body fat can vary substantially.Some people proportionally storing more fat around their visceral organs (abdominal adiposity) than in their thighs and hip.In observational studies, abdominal adiposity has been linked to type 2 diabetes and CHD, but remains uncertain if these relationships represent causal relationships.
Dr. Sekar Kathiresan, from the Massachusetts General Hospital and the Harvard University School of Medicine, in Boston, United States, and his colleagues examined whether a genetic predisposition to the increase in the relationship/hip adjusted for the IMC is associated withCuantitative cardiomethabolic features (that is, lipids, insulin, glucose and systolic blood pressure), type 2 diabetes and CHD.
Estimates of cardiomethabolic features were based on a combined data set consisting of results collected from four association studies at the genomic level carried out between 2007 and 2015, with a total of 322,154 participants, as well as cross -sectional data of individuals of the British BiobankFrom 2007 to 2011, with 111,986 people.
The researchers discovered that the genetic predisposition to a higher waist-salad relationship for the BMI was related to higher levels of quantitative risk factors (lipids, insulin, glucose and systolic blood pressure), as well as a greater risk of type 2 diabetes andCHD.
«These results allow us to draw several conclusions: first, these findings give human genetic support to the previous observations that relate abdominal adiposity to heart disease.
Secondly, these results suggest that the distribution of body fat, beyond the simple measurement of the BMI, could explain part of the variation in the risk of type 2 diabetes and CHD observed in individuals and subpopulations.Third, the waist-salad relationship adjusted for BMI could be useful as a biomarker for the development of therapies to prevent type 2 diabetes and CHD, ”writes the authors.
