脂肪细胞 z-bo 2020-10-08 319

　　Researchers recently reported in the journal Cell Metabolism that inefficient lipolysis can predict weight gain and metabolic complications, such as type 2 diabetes in women. Low levels of hormones stimulate fat breakdown, which is the biochemical process of breaking down triglycerides into high-energy fatty acids, and is related to weight gain and metabolic problems after 13 years. Based on these findings, the researchers developed an algorithm to detect hormone-stimulated lipolytic damage through clinical and blood measurements.

　　Karolinska Institute senior author Mikaelyden said: "The proposed algorithm can be used to identify people at high risk of overweight or obesity. Clinicians can use this information to determine who is involved in intensive lifestyle interventions. Most benefits such as physical exercise can be promoted. Hormone-stimulated lipolysis can prevent fat accumulation and metabolic disorders. A biopsy was performed. The woman was initially healthy and not obese, and was followed up 13 years later. Compared with women with stable weight, her weight during this period The increased spontaneous lipolysis of women increased by 50%, and hormone-stimulated lipolysis decreased by 50%. In addition, the low expression of lipolysis genes is related to subsequent weight gain.

　　Peter Arner, lead author of the Karolinska Institute, said: “Insufficient lipid degradation or highly alkaline lipid degradation that cannot be fully accelerated by hormone stimulation may change and promote the balance of lipid metabolism. Fat mass increases.” Next, the researchers An algorithm was established to estimate hormone-stimulated lipolysis based on clinical and blood measurements (not tissue biopsy). To determine the parameters of metabolic measurement, they analyzed data from 1,045 subjects. The six outcome parameters include waist circumference, fasting plasma high-density lipoprotein cholesterol, fasting plasma epinephrine, body weight, fasting serum insulin and fasting plasma glycerol divided by body fat. The algorithm predicted high-fat or low-fat activities in a subset of 226 subjects, with a sensitivity of over 80% and a specificity of about 75%. When tested in another group of 14 subjects, the algorithm was consistent with hormone-stimulated lipolysis levels and predicted changes in body weight over time. Leiden said: "These preliminary results show that our algorithm can replace tissue biopsy in routine clinical settings to estimate hormone-stimulated lipolysis." The statement. "But future research will require more people to test the algorithm to determine whether the results of this research also apply to men."