Online citations, reference lists, and bibliographies.
← Back to Search

Abdominal Fat Radiodensity, Quantity And Cardiometabolic Risk: The Multi-Ethnic Study Of Atherosclerosis.

R. Shah, M. Allison, J. Lima, S. Abbasi, A. Eisman, C. Lai, M. Jerosch-Herold, M. Budoff, V. Murthy
Published 2016 · Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
Share
BACKGROUND AND AIMS Fat radiodensity, as measured by fat attenuation on computed tomography (CT), has emerged as a potential biomarker of "fat quality." We sought to characterize the relationship between fat radiodensity and quantity in subcutaneous, visceral, and intermuscular fat depots, and its role in inflammation, insulin resistance, and metabolic syndrome (MetS). METHODS AND RESULTS We studied 1511 individuals from the Multi-Ethnic Study of Atherosclerosis who underwent CT for measurement of regional fat distribution and radiodensity, along with biomarker assessments and adjudication of incident metabolic syndrome (MetS). Linear, logistic and Cox regression analyses were used to measure association between fat radiodensity and (1) fat quantity, (2) biomarkers of cardiometabolic dysfunction, and (3) both prevalent and incident MetS. In each fat depot, radiodensity was strongly and inversely associated with quantity (e.g., visceral fat radiodensity vs. quantity: ρ = -0.82, P < 0.01). After adjustment for age, sex and race, lower visceral fat radiodensity was associated with greater C-reactive protein, leptin and insulin, but lower adiponectin (P < 0.01 for all). After full adjustment for cardiovascular disease risk factors, visceral (but not subcutaneous or intermuscular) fat radiodensity was associated with prevalent MetS (OR = 0.96, 95% CI = 0.93-0.99, P = 0.01). Moreover, lower visceral fat radiodensity was associated with incident MetS after the same adjustment (HR = 0.95, 95% CI 0.93-0.98, P < 0.01). However, this association became non-significant after further adjustment for visceral fat quantity. CONCLUSION Fat radiodensity is strongly correlated with fat quantity and relevant inflammatory biomarkers. Fat radiodensity (especially for visceral fat) may be a complementary, easily assessed marker of cardiometabolic risk.
This paper references
10.1038/oby.2009.443
Subcutaneous and Visceral Adipose Tissue Gene Expression of Serum Adipokines That Predict Type 2 Diabetes
K. Samaras (2010)
10.1016/j.jacc.2011.03.025
Impaired fasting glucose and the risk of incident diabetes mellitus and cardiovascular events in an adult population: MESA (Multi-Ethnic Study of Atherosclerosis).
J. Yeboah (2011)
10.1093/AJE/KWF113
Multi-Ethnic Study of Atherosclerosis: objectives and design.
D. Bild (2002)
10.1210/jc.2013-4296
Fat quality and incident cardiovascular disease, all-cause mortality, and cancer mortality.
Klara J. Rosenquist (2015)
10.7326/0003-4819-159-11-201312030-00008
Are Metabolically Healthy Overweight and Obesity Benign Conditions?
C. Kramer (2013)
10.1161/JAHA.114.000788
Association of Fat Density With Subclinical Atherosclerosis
Nicholas J. Alvey (2014)
10.1371/journal.pone.0022112
Adipocyte Hypertrophy, Fatty Liver and Metabolic Risk Factors in South Asians: The Molecular Study of Health and Risk in Ethnic Groups (mol-SHARE)
Sonia S Anand (2011)
10.1016/j.jcmg.2012.11.021
Visceral and subcutaneous fat quality and cardiometabolic risk.
Klara J. Rosenquist (2013)
10.1016/j.jcmg.2014.07.017
Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study.
R. Shah (2014)
10.2967/jnumed.109.068775
CT Hounsfield Units of Brown Adipose Tissue Increase with Activation: Preclinical and Clinical Studies
S. Baba (2010)
10.1038/oby.2011.254
Large Size Cells in the Visceral Adipose Depot Predict Insulin Resistance in the Canine Model
M. Kabir (2011)
10.1016/j.jacc.2013.01.053
Insulin resistance, subclinical left ventricular remodeling, and the obesity paradox: MESA (Multi-Ethnic Study of Atherosclerosis).
R. Shah (2013)
10.1001/2012.JAMA.11132
Dysfunctional adiposity and the risk of prediabetes and type 2 diabetes in obese adults.
I. Neeland (2012)
10.4161/adip.19752
Peri-adipocyte ECM remodeling in obesity and adipose tissue fibrosis
Tae-Hwa Chun (2012)
10.1002/oby.20957
Visceral and subcutaneous adipose tissue FDG uptake by PET/CT in metabolically healthy obese subjects
Adriana L. Oliveira (2015)
10.1038/nature14115
Group 2 innate lymphoid cells promote beiging of white adipose tissue and limit obesity
Jonathan R. Brestoff (2015)
10.1007/s11695-014-1485-6
Effects of Roux-en-Y Gastric Bypass Surgery on Visceral and Subcutaneous Fat Density by Computed Tomography
M. Torriani (2014)
10.1016/j.amjcard.2013.04.053
Relation of leptin to left ventricular hypertrophy (from the Multi-Ethnic Study of Atherosclerosis).
M. Allison (2013)
10.1161/01.CIR.0000111245.75752.C6
Definition of Metabolic Syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association Conference on Scientific Issues Related to Definition
S. Grundy (2004)
De fi nition of metabolic syndrome : report of the National Heart , Lung , and Blood Institute / American Heart Association conference on scienti fi c issues related to de fi nition
Brewer Jr HB Grundy SM (2004)
10.1016/j.celrep.2014.03.062
Immune cell Toll-like receptor 4 mediates the development of obesity- and endotoxemia-associated adipose tissue fibrosis.
Isabelle K Vila (2014)
10.1172/JCI19246
Obesity is associated with macrophage accumulation in adipose tissue.
S. Weisberg (2003)
10.1172/JCI19451
Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance.
H. Xu (2003)
10.1210/jc.2014-4032
The Association Between Subcutaneous Fat Density and the Propensity to Store Fat Viscerally.
Aaron J. Yeoh (2015)
10.2337/db08-1098
Reduced Adipose Tissue Oxygenation in Human Obesity
M. Pasarica (2009)
10.1001/jama.2012.94335
Measures of adiposity and fat distribution and risk of diabetes.
N. Stefan (2013)
10.1172/JCI117936
Increased adipose tissue expression of tumor necrosis factor-alpha in human obesity and insulin resistance.
G. Hotamisligil (1995)
10.1016/j.jacc.2011.02.038
Adiposopathy is "sick fat" a cardiovascular disease?
H. Bays (2011)
10.1038/ncomms5982
Macrophage-inducible C-type lectin underlies obesity-induced adipose tissue fibrosis.
M. Tanaka (2014)



This paper is referenced by
10.1111/apt.15927
Review article: prognostic significance of body composition abnormalities in patients with cirrhosis
M. Ebadi (2020)
10.1016/j.orcp.2018.08.002
Associations of abdominal intermuscular adipose tissue and inflammation: The Multi-Ethnic Study of Atherosclerosis.
C. Vella (2018)
10.1007/s11695-019-04030-z
Adipose Tissue Composition in Obesity and After Bariatric Surgery
G. Adami (2019)
10.1016/j.amjcard.2017.07.019
Effect of Pericardial Fat Volume and Density on Markers of Insulin Resistance and Inflammation in Patients With Human Immunodeficiency Virus Infection.
C. Longenecker (2017)
10.1016/j.jcct.2018.03.007
Computed tomography-based fat and muscle characteristics are associated with mortality after transcatheter aortic valve replacement.
B. Foldyna (2018)
WISP 1 Is a Marker of Systemic and Adipose Tissue Inflammation in Dysmetabolic Subjects With or Without Type 2 Diabetes
I. Barchetta (2017)
10.1016/j.urolonc.2018.07.018
A comparison of perinephric fat surface area and Mayo Adhesive Probability score in predicting malignancy in T1 renal masses.
Ari P. Bernstein (2018)
10.1002/oby.22695
Associations of Thigh and Abdominal Adipose Tissue Radiodensity with Glucose and Insulin in Nondiabetic African‐Ancestry Men
Curtis Tilves (2019)
10.1111/dom.13233
Brown adipose tissue lipid metabolism in morbid obesity: Effect of bariatric surgery‐induced weight loss
P. Dadson (2018)
Absence of excess body fatness
A. Anderson (2019)
10.1016/j.envint.2018.12.036
Quantitative bias analysis of the association of type 2 diabetes mellitus with 2,2',4,4',5,5'-hexachlorobiphenyl (PCB-153).
M. W. Dzierlenga (2019)
10.1210/js.2017-00108
WISP1 Is a Marker of Systemic and Adipose Tissue Inflammation in Dysmetabolic Subjects With or Without Type 2 Diabetes
I. Barchetta (2017)
Routine Radiomics – Utilizing Routine Chest CT Imaging Data for the Discovery of Predictive Markers
S. Roehrich (2017)
10.1016/j.numecd.2018.01.006
Ultrasound-assessed visceral fat and associations with glucose homeostasis and cardiovascular risk in clinical practice.
M. Bellan (2018)
10.1186/s12880-019-0316-6
CoreSlicer: a web toolkit for analytic morphomics
L. Mullie (2019)
Semantic Scholar Logo Some data provided by SemanticScholar