AUTHOR=Jiang Xinping , Yang Zhang , Wang Shuai , Deng Shuanglin 

TITLE=“Big Data” Approaches for Prevention of the Metabolic Syndrome

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.810152

DOI=10.3389/fgene.2022.810152

ISSN=1664-8021

ABSTRACT=Metabolic syndrome is characterized by the concurrence multiple metabolic disorders including  abdominal obesity, elevated blood pressure, elevated blood glucose, high serum triglycerides, and low serum high-density lipoprotein (HDL). This condition affects roughly one third of American adults, significantly increasing the risk of cerebral-cardiovascular diseases, type- 2 diabetes and multiple cancers. Extensive data have been generated throughout the research targeted or related to the condition, hence a growing body of studies based on computational science have discovered new options in depicting clinically relevant patterns within its complexity  from public health to molecular research. In this review we briefly summarize the recent advances in the study of pathogenesis and pathophysiology of metabolic syndrome, and  methodology of computational research including the types of data source, data mining and analytic tools.