Document Type
Article
Original Publication Date
2017
Journal/Book/Conference Title
BioMed Research International
Volume
2017
First Page
1
Last Page
11
DOI of Original Publication
10.1155/2017/1364818
Date of Submission
September 2017
Abstract
Purpose. To quantify liver adiposity using magnetic resonance imaging (MRI) and to determine its association with metabolic profile in men with spinal cord injury (SCI). Materials and Methods. MRI analysis of liver adiposity by fat signal fraction (FSF) and visceral adipose tissue (VAT) was completed on twenty participants. Intravenous glucose tolerance test was conducted to measure glucose effectiveness (πg) and insulin sensitivity (πi ). Lipid panel, fasting glucose, glycated hemoglobin (HbA1c), and inflammatory cytokines were also analyzed. Results. Average hepatic FSF was 3.7% Β± 2.1. FSF was positively related to TG, non-HDL-C, fasting glucose, HbA1c, VAT, and tumor necrosis factor alpha (TNF-πΌ). FSF was negatively related to πi and testosterone. FSF was positively related to VAT (π = 0.48, π = 0.032) and TNF-πΌ (π = 0.51, π = 0.016) independent of age, level of injury (LOI), and time since injury (TSI). The associations between FSF and metabolic profile were independent of VAT. Conclusions. MRI noninvasively estimated hepatic adiposity in men with chronic SCI. FSF was associated with dysfunction in metabolic profile, central adiposity, and inflammation. Importantly, liver adiposity influenced metabolic profile independently of VAT. These findings highlight the significance of quantifying liver adiposity after SCI to attenuate the development of metabolic disorders.
Rights
Copyright Β© 2017 Kathleen C. Rankin et al. This is an open access article distributed under the Creative Commons Attribution License,
Is Part Of
VCU Physiology and Biophysics Publications
Comments
Originally published at https://doi.org/10.1155/2017/1364818