The objective of this research was to study (1) the mutual relationship between liver fat content (LFC) and hepatic glucose uptake (HGU) in patients with type 2 diabetes mellitus and (2) the relationship between changes in LFC and HGU uptake induced by rosiglitazone in these patients. Liver fat was measured with proton magnetic resonance spectroscopy and insulin-stimulated HGU with [(18)F]-labeled 2-fluoro-2-deoxyglucose positron emission tomography in 54 patients with type 2 diabetes mellitus and 8 healthy subjects. Measurements were repeated in diabetic patients after a 16-week intervention period with rosiglitazone (n = 27) or placebo (n = 27). Patients with diabetes had lower HGU (24.5 +/- 14.2 vs 35.6 +/- 9.7 micromol/[kg min], P < .01) and higher LFC (10.9% +/- 9.2% vs 2.5% +/- 1.4%, P < .001) compared with healthy subjects. Liver fat was inversely associated with HGU (r = -0.31, P < .05), but more strongly with whole-body insulin sensitivity and adiponectin levels. Rosiglitazone treatment reduced liver fat by 24.8% (P = .01 vs placebo) and increased HGU by 29.2% (P = .013 vs placebo). This decrease in LFC was best explained by the increment in suppression of nonesterified fatty acid levels during hyperinsulinemia (P < .001) and improved glycemic control (P = .034), but not by changes in HGU. A significant inverse relationship between LFC and HGU was observed, but changes were not related. This suggests that the beneficial effects of rosiglitazone on liver metabolism are indirect and can be partly explained by increased suppression of nonesterified fatty acid levels, leading to reduced liver fat.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.metabol.2008.05.015 | DOI Listing |
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFBiosci Microbiota Food Health
August 2024
Department of Gastroenterology, Hematology and Clinical immunology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki-shi, Aomori 036-8562, Japan.
The beneficial effects of water-soluble dietary fiber on liver fat and fibrosis involve the gut microbiota; however, few epidemiological studies have investigated this association. This large-scale epidemiological study aimed to determine the effect of water-soluble dietary fiber intake on liver fat and fibrosis via gut microbiota for the general population. We divided low- and high-intake groups by median daily water-soluble dietary fiber intake and matched background factors by propensity score matching for sex and age.
View Article and Find Full Text PDFFront Microbiol
December 2024
Department of Pediatrics, Ningde Municipal Hospital of Ningde Normal University, Ningde, China.
The prevalence of childhood obesity is rising globally, with some obese children progressing to develop metabolic syndrome (MS). However, the specific differences between these groups remain unclear. To investigate the differences in gut microbiota, we conducted physiological and biochemical assessments, alongside 16S rRNA sequencing, in a cohort of 32 children from Southeastern China, which included 4 normal-weight children, 5 with mild obesity, 9 with moderate obesity, 9 with severe obesity, and 5 with metabolic syndrome.
View Article and Find Full Text PDFNutr Metab (Lond)
January 2025
Department of Sports Medicine, China Medical University, Taichung City, Taiwan.
Background: Intermittent fasting (IF) can be an effective dietary therapy for weight loss and improving cardiometabolic health. However, there is scant evidence regarding the role of IF on indicators of liver function, particularly in adults with metabolic disorders. Therefore, we performed a systematic review and meta-analysis to investigate the effects of IF on liver function in adults with metabolic disorders.
View Article and Find Full Text PDFLife Sci
January 2025
University of Navarra, Center for Nutrition Research, c/Irunlarrea 1, 31008 Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.
Aims: Gestational diabetes mellitus (GDM) is the most common complication of pregnancy and is known to be associated with an increased risk of postpartum metabolic disease. Based on the important role that the intestinal microbiota plays in blood glucose regulation and insulin sensitivity, supplementation of probiotic and postbiotic strains could improve glucose metabolism and tolerance in GDM.
Main Methods: 56 4-week-old female C57BL/6J-mice were divided into 4 groups (n = 14 animals/group): control (CNT), high-fat/high-sucrose (HFS), pA1c® alive (pA1c®) and heat-inactivated pA1c® (pA1c®HI).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!