Adipose Tissue as a Biomarker in Data Wining Predictiwe Models of Metabolic Pathophysiologies

摘要

It is well kown that the metabolic syndrome emerges as one of the major public health issues worldwide. In diabetes and other metabolism related diseases, further complexity is added in diagnosis and prognosis due to the presence of metabolic syndrome, including obesity. Obesity, which is defined as an excess of body fat, can be described as an underlying risk factor of almost any of the aforementioned metabolic related pathologies. Moreover, a very likely potential link between such pathologies and obesity is the adipose tissue, which functions as an endocrine organ. Since obesity serves as general key to metabolism related disorders and complications, the adipose tissue can be a useful tool in predicting such pathologies. In the present mini review work, several representative studies are discussed with respect to the effectiveness of adipose tissue as a valuable biomarker along with other factors taken into consideration with data mining approaches. Taken together, adipose tissue can be used in data mining as a predictive tool in diabetes, mortality, cardiometabolic risk and other metabolism related pathologies.