Literature DB >> 34598789

Cardiometabolic Health Outcomes Associated With Discordant Visceral and Liver Fat Phenotypes: Insights From the Dallas Heart Study and UK Biobank.

Sanaa Tejani1, Cody McCoy2, Colby R Ayers2, Tiffany M Powell-Wiley3, Jean-Pierre Després4, Jennifer Linge5, Olof Dahlqvist Leinhard6, Mikael Petersson7, Magnus Borga8, Ian J Neeland9.   

Abstract

OBJECTIVE: To evaluate the cardiometabolic outcomes associated with discordant visceral adipose tissue (VAT) and liver fat (LF) phenotypes in 2 cohorts. PATIENTS AND METHODS: Participants in the Dallas Heart Study underwent baseline imaging from January 1, 2000, through December 31, 2002, and were followed for incident cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) through 2013. Associations between VAT-LF groups (low-low, high-low, low-high, and high-high) and outcomes were assessed using multivariable-adjusted regression and were replicated in the independent UK Biobank.
RESULTS: The Dallas Heart Study included 2064 participants (mean ± SD age, 44±9 years; 54% female; 47% black). High VAT-high LF and high VAT-low LF were associated with prevalent atherosclerosis, whereas low VAT-high LF was not. Of 1731 participants without CVD/T2DM, 128 (7.4%) developed CVD and 95 (5.5%) T2DM over a median of 12 years. High VAT-high LF and high VAT-low LF were associated with increased risk of CVD (hazard ratios [HRs], 2.0 [95% CI, 1.3 to 3.2] and 2.4 [95% CI, 1.4 to 4.1], respectively) and T2DM (odds ratios [ORs], 7.8 [95% CI, 3.8 to 15.8] and 3.3 [95% CI, 1.4 to 7.8], respectively), whereas low VAT-high LF was associated with T2DM (OR, 2.7 [95% CI, 1.1 to 6.7]). In the UK Biobank (N=22,354; April 2014-May 2020), only high VAT-low LF remained associated with CVD after multivariable adjustment for age and body mass index (HR, 1.5 [95% CI, 1.2 to 1.9]).
CONCLUSION: Although VAT and LF are each associated with cardiometabolic risk, these observations demonstrate the importance of separating their cardiometabolic implications when there is presence or absence of either or both in an individual.
Copyright © 2021 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34598789      PMCID: PMC8818017          DOI: 10.1016/j.mayocp.2021.08.021

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  34 in total

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Journal:  Am J Kidney Dis       Date:  1996-05       Impact factor: 8.860

2.  Reproducibility and repeatability of MRI-based body composition analysis.

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Journal:  Hepatology       Date:  2004-12       Impact factor: 17.425

Review 5.  NAFLD and diabetes mellitus.

Authors:  Herbert Tilg; Alexander R Moschen; Michael Roden
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2016-10-12       Impact factor: 46.802

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7.  Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies.

Authors:  Magnus Borga; E Louise Thomas; Thobias Romu; Johannes Rosander; Julie Fitzpatrick; Olof Dahlqvist Leinhard; Jimmy D Bell
Journal:  NMR Biomed       Date:  2015-11-02       Impact factor: 4.044

8.  Diagnosis and classification of diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2009-01       Impact factor: 19.112

9.  Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults.

Authors:  Ian J Neeland; Colby R Ayers; Anand K Rohatgi; Aslan T Turer; Jarett D Berry; Sandeep R Das; Gloria L Vega; Amit Khera; Darren K McGuire; Scott M Grundy; James A de Lemos
Journal:  Obesity (Silver Spring)       Date:  2013-05-19       Impact factor: 5.002

10.  Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies.

Authors:  Janne West; Olof Dahlqvist Leinhard; Thobias Romu; Rory Collins; Steve Garratt; Jimmy D Bell; Magnus Borga; Louise Thomas
Journal:  PLoS One       Date:  2016-09-23       Impact factor: 3.240

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