Effect of Sevelamer versus Bifidobacterium longum on Insulin Sensitivity in Subjects with Obesity
Semwal, M. K.; Baeuerle, E.; Nie, J.; Zhang, N.; Liang, H.; Ganapathy, V.; Sathavarodom, N.; Fernandez, R.; Wang, C.-P.; Espinoza, S.; Dong, Q.; Yang, Z.; Kostic, A.; Musi, N.
Show abstract
ObjectiveTo test whether interventions with putative lipopolysaccharide (LPS)-lowering effects including sevelamer and a synbiotic (Bifidobacterium longum+oligofructose) improve insulin sensitivity in subjects with obesity. MethodsWe randomized 22 lean and 28 human subjects with obesity to receive sevelamer, synbiotic, or placebo orally for 4 weeks. Peripheral insulin sensitivity was measured with an insulin clamp. Plasma cholesterol, endotoxemia markers, intestinal permeability, stool bacterial taxonomic content and plasma metabolites also were assessed. ResultsAt baseline, subjects with obesity had lower insulin sensitivity and elevated plasma LDL-C concentrations. Sevelamer improved insulin sensitivity and lowered LDL-C in these subjects. Intestinal enrichment of Bifidobacterium longum had no effect on insulin sensitivity or lipids in either group. Markers of endotoxemia and intestinal permeability did not change with any intervention. Plasma metabolomics revealed that sevelamer increases several metabolites, many of them previously linked with positive changes in glucose and lipid metabolism, including biliary acids, amino acids (citrulline, betaine), NAD+ precursors (trigonelline) and xenobiotics (genistein, umbelliferone). ConclusionSevelamer improves insulin sensitivity and LDL-C in subjects with obesity, but these effects are independent of changes in circulating LPS. Sevelamer increases the levels of multiple metabolites that collectively may mediate improvements in glucose homeostasis and lipids caused by this drug.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Inflammatory dietary potential is associated with vitamin depletion and gut microbial dysbiosis in early pregnancy 95%
- Tissue-Specific Ablation of Liver Fatty Acid-Binding Protein Induces a Metabolically Healthy Obese Phenotype in Female Mice 94%
- The effects of time-restricted eating vs. standard dietary advice on weight, metabolic health and the consumption of processed food: A pragmatic randomised controlled trial in community-based adults 93%
Similar papers in this journal
- The Pediatric Obesity Microbiome and Metabolism Study (POMMS): Methods, Baseline Data, and Early Insights. 94%
- MRI assessment of adipose tissue fatty acid composition in the UK Biobank and its association with diet and disease 93%
- Semaglutide-induced weight loss improves mitochondrial energy efficiency in skeletal muscle 93%
Similar papers in this journal
- Dietary isoleucine content defines the metabolic and molecular response to a Western diet 95%
- Dietary sulfur amino acid restriction improves glucose homeostasis through hepatic de novo serine synthesis 94%
- Short-term consumption of ultra-processed semi-synthetic diets impairs the sense of smell and brain metabolism in mice 93%
Similar papers in this journal
- Comparative Effects of Weight Loss and Incretin-Based Therapies on Endothelial Vasodilatory and Fibrinolytic Function 95%
- A Microbiome-targeting Fiber-enriched Nutritional Formula is Well Tolerated and Improves Quality of Life and Hemoglobin A1c in Type 2 Diabetes: A Double-Blind, Randomized, Placebo-Controlled Trial 94%
- Safety and effects of acetylated and butyrylated high amylose maize starch in recently diagnosed youths with type 1 diabetes; a Pilot Study 93%
Similar papers in this journal
- Coordinated regulation of gene expression and microRNA changes in adipose tissue and circulating extracellular vesicles in response to pioglitazone treatment in humans with type 2 diabetes 94%
- Weight Loss-Independent Changes in Human Growth Hormone During Water-Only Fasting: A Secondary Evaluation of a Randomized Controlled Trial 94%
- Longitudinal Associations Between MicroRNAs and Weight in the Diabetes Prevention Program 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.