Animal experiments show that type 2 diabetes and cardiovascular disease have similarities

  In a research paper published in the international journal Circulation: CardiovASCularGENEtics, Brown University scientists found that type 2 diabetes (T2D) and cardiovascular disease (CVD) may have a lot in common. These may bring risk factors such as obesity. T2D and CVD usually occur simultaneously in patients.

  In this article, the researchers used Genome Broad Association Study (GWAS) technology to discover the physical genetic differences of three female patients of different races (T2D or CVD, or both T2D and CVD). it is. At the same time, they also used healthy women with similar characteristics. Controller: Researchers: 8,155 black women, 3494 Hispanic women and 3697 women collected from the American Women’s Health Advocacy Organization.

  We analyzed and studied the health records and genetic samples of white Japanese women. After comparing T2D and CVD women with healthy women, the researcher Dr. KeiHang K. Chan said that he found significant differences in the eight biochemical pathways in patients. These pathways can regulate the body's cell adhesion and calcium. Signal transduction, axon guidance, extracellular matrix and various forms of cardiomyopathy. In addition, the researchers also discovered a new race-specific pathway between T2D and CVD. Next, the researchers used five different methods to analyze these pathways and identified some important genes that promote disease development.

  Researchers discovered that these genes represent central network genes. Once disturbed, they will affect the expression of a series of genes that may be related to the pathogenesis of T2D and CVD. In order to assess whether these genes can be used as major disease driver genes, researchers have analyzed and studied them in various databases, and tested the functions of these genes in mouse models. Finally, the researchers used a systems biology framework built from GWAS, signaling pathways, gene expression, and phenotypic information contained in human and mouse models to institutionalize and root human diseases. It can identify the cause, identify potential treatment targets, and provide ideas for the development of new targeting strategies.