Concentrated cauliflower bud extract can help type Ⅱ diabetic patients control their blood sugar

Diabetes has become a worldwide epidemic More than 300 million people in the world suffer from type II diabetes However, due to the risk of kidney injury, up to 15% of patients can not take first-line diabetes drugs (http:// metformin An international research group recently published a paper in the Journal of Science Translational Medicine, saying that the concentrated broccoli bud extract (http:// can help patients with type II diabetes control their blood sugar Scientists are expected to develop new alternative therapies to alleviate the growing problem of diabetes In order to find a more feasible treatment, the research team composed of researchers from Johns Hopkins University, Lund University of Sweden, Geneva University of Switzerland and other institutions aims at the gene expression patterns related to diabetes, hoping to find compounds that can resist the gene expression changes related to type II diabetes They analyzed (http:// diabetes related genes in liver tissue, combined with human genetic data, determined the disease characteristics of type II diabetes, and then screened 3852 compounds using the open gene expression data set, trying to find drugs that may reverse the disease One of the most promising chemicals, sulforaphane, is a naturally occurring compound in cruciferous vegetables It can inhibit the production of glucose by cultured hepatocytes and keep the gene expression of liver away from the disease state in diabetic rats In a 12 week randomized placebo-controlled trial, 97 patients with type 2 diabetes were given concentrated broccoli bud extract The results showed that the fasting blood glucose concentration of these patients was significantly lower than that of the control group The researchers say the new findings could help develop new alternative therapies, which could be a boon for patients with type 2 diabetes The combination of disease feature research and public gene expression data set analysis, or an effective way to quickly identify disease-related compounds.