Objective: To study the relationship of area- and volumetric-based visceral and subcutaneous adipose tissue (VAT and SAT) by MRI and their ratio in subjects with impaired glucose metabolism from the general population.

Methods: Subjects from a population-based cohort with established prediabetes, diabetes and healthy controls without prior cardiovascular diseases underwent 3 T MRI. VAT and SAT were assessed as total volume and area on a single slice, and their ratio (VAT/SAT) was calculated. Clinical covariates and cardiovascular risk factors, such as hypertension and glycemic state were assessed in standardized fashion. Univariate and adjusted analyses were conducted.

Results: Among 384 subjects (age: 56.2 ± 9.2 years, 58.1% male) with complete MRI data available, volumetric and single-slice VAT, SAT and VAT/SAT ratio were strongly correlated (all >r = 0.89). Similarly, VAT/SAT ratio was strongly correlated with VAT but not with SAT (r = 0.72 and r = -0.21, respectively). Significant higher levels of VAT, SAT and VAT/SAT ratio were found in subjects with impaired glucose metabolism (all p ≤ 0.01). After adjustment for potential cardiovascular confounders, VAT and VAT/SAT ratio remained significantly higher in subjects with impaired glucose metabolism (VAT = 6.9 ± 2.5 l and 3.4 ± 2.3 l; VAT/SAT ratio = 0.82 ± 0.34 l and 0.49 ± 0.29 l in patients with diabetes and controls, respectively, all p < 0.02), whereas the association for SAT attenuated. Additionally, there was a decreasing effect of glycemic status on VAT/SAT ratio with increasing body mass index and waist circumference (p < 0.05).

Conclusions: VAT and VAT/SAT ratio are associated with impaired glucose metabolism, independent of cardiovascular risk factors or MRI-based quantification technique, with a decreasing effect of VAT/SAT ratio in obese subjects. Advances in knowledge: Quantification of VAT and VAT/SAT ratio by MRI represents a reproducable biomarker associated with cardiometabolic risk factors in subjects with impaired glucose metabolism, while the association of VAT/SAT ratio with glycemic state is attenuated in obese subjects.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223151PMC
http://dx.doi.org/10.1259/bjr.20170808DOI Listing

Publication Analysis

Top Keywords

vat/sat ratio
40
vat sat
20
impaired glucose
20
glucose metabolism
20
subjects impaired
16
vat vat/sat
16
ratio
13
risk factors
12
vat/sat
11
subjects
9

Similar Publications

The effects of gender-affirming hormone therapy on myocardial, hepatic, pancreatic lipid content, body fat distribution and other cardiometabolic risk factors: A magnetic resonance-based study in transgender individuals.

J Clin Transl Endocrinol

March 2025

Department of Internal Medicine III, Clinical Division of Endocrinology and Metabolism, Gender Medicine Unit, Medical University of Vienna, General Hospital Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.

Purpose: We aimed to assess the changes in body fat distribution, intraorgan lipid accumulation, and cardiometabolic risk factors after 6 months of gender-affirming hormone therapy (GAHT) in transgender men (TM) and transgender women (TW).

Methods: Conducted at the Medical University of Vienna between 2019 and 2022, the study included 15 TW and 20 TM. We conducted magnetic resonance imaging and spectroscopy to determine the visceral (VAT) and subcutaneous adipose tissue (SAT) amounts, the VAT/SAT ratio, and the intraorgan lipid content (liver, pancreas, myocardium), bloodwork, and an oral glucose tolerance test at baseline and after 6 months of GAHT.

View Article and Find Full Text PDF

This retrospective study developed an automated algorithm for 3D segmentation of adipose tissue and paravertebral muscle on chest CT using artificial intelligence (AI) and assessed its feasibility. The study included patients from the Boston Lung Cancer Study (2000-2011). For adipose tissue quantification, 77 patients were included, while 245 were used for muscle quantification.

View Article and Find Full Text PDF
Article Synopsis
  • This study investigates the effectiveness of single-slice versus multi-slice computed tomography (CT) methods in analyzing body composition in patients with oesophagogastric cancer, focusing on their correlation and impact on survival rates.
  • Researchers examined CT scans of 504 patients, comparing measurements of skeletal muscle, subcutaneous, visceral, and intermuscular adipose tissue, finding high correlation and narrow limits of agreement between the two methods.
  • Results indicate that both measurement techniques offer similar insights into body composition, suggesting that the clinical use of multi-slice analyses may be beneficial but requires further exploration for optimal application.
View Article and Find Full Text PDF

Aims/hypothesis: Insulin resistance and compensatory hyperinsulinaemia are core features leading to beta cell failure in youth-onset type 2 diabetes. Insulin clearance (IC) is also a key regulator of insulin concentrations, but few data exist on IC in youth-onset type 2 diabetes. In a secondary analysis of our Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) randomised clinical trial, we investigated potential sex-, race-, ethnicity- and treatment-related differences in IC in youth-onset type 2 diabetes and aimed to identify metabolic phenotypes associated with IC at baseline and in response to metformin, metformin plus a lifestyle intervention, and metformin plus rosiglitazone.

View Article and Find Full Text PDF

We aimed to examine the effects of isocaloric fructose restriction on adipose tissue distribution and serum adipokines. Individuals with BMI >28 kg/m (n = 44) followed a 6-week fructose-restricted diet and were randomly allocated to (double-blind) oral supplementation with fructose (control) or glucose (intervention) powder three times daily. Visceral (VAT) and subcutaneous (SAT) adipose tissue was quantified with MRI.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!