Obese type II diabetic patients are often treated with metformin after full doses of sulfonylureas or insulin fail to achieve a satisfactory metabolic control. Clinical practice has often indicated that metformin has little effect on normal weight type II diabetics. The effectiveness of metformin vs placebo was evaluated in a double blind cross-over study on 53 type II diabetic patients with unsatisfactory glycaemic control. The patients were divided into two groups-the sulfonylurea-treated (S) and the insulin treated (I). Each group was then subdivided into three classes: 1) normal weight [BMI less than 25], 2) overweight [BMI 25-30] and 3) obese [BMI greater than 30]. Metformin did not modify body weight, plasma lipids or insulin profiles. Blood lactate increased slightly but only occasionally reached statistical significance. Metformin's antidiabetic activity was not influenced by the basal treatment (S or I) of the diabetics but was strongly linked to the degree of adiposity. Indeed both plasma glucose and HbA1 remained almost unchanged in normal weight patients. In the overweight and in the obese metformin significantly improved glycaemic profiles and reduced HbA1 levels. These results confirm clinical experience indicating that some degree of adiposity is a necessary prerequisite for metformin efficacy in diabetics.
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JCI Insight
January 2025
Division of Nephrology, The University of Alabama at Birmingham, Birmingham, United States of America.
Disrupted feeding and fasting cycles as well as chronic high fat diet (HFD)-induced obesity are associated with cardiovascular disease risk factors. We designed studies that determined whether two weeks of time-restricted feeding (TRF) intervention in mice fed a chronic HFD would reduce cardiovascular disease risk factors. Mice were fed a normal diet (ND; 10% fat) ad libitum or HFD (45% fat) for 18 weeks ad libitum to establish diet-induced obesity.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL, USA.
Large-scale, pan-cancer analysis is enabled by data driven knowledge bases that link tumor molecular profiles with phenotypes. A debilitating cancer-related phenotype is skeletal muscle loss, or cachexia, which occurs partly from tumor products secreted into circulation. Using the LinkedOmicsKB knowledge base assembled from the Clinical Proteomics Tumor Analysis Consortium proteogenomic analysis, along with catalogs of human secretome proteins, ligand-receptor pairs and molecular signatures, we sought to identify candidate pan-cancer proteins secreted to blood that could regulate skeletal muscle phenotypes in multiple solid cancers.
View Article and Find Full Text PDFJ Neurol
January 2025
Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Aliment Pharmacol Ther
January 2025
Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
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J Stud Alcohol Drugs
January 2025
Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological Research (DICBR), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Bethesda, Maryland, USA.
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