Relationship Between the Bertin Index to Estimate Visceral Adipose Tissue From Dual-Energy X-Ray Absorptiometry and Cardiometabolic Risk Factors Before and After Weight Loss

A recent study suggested visceral adipose index (VAI) as an indicator of adipose tissue distribution and function associated with cardiometabolic risk. We aim to examine the association between VAI and visceral adipose tissue (VAT), insulin sensitivity, and a large panel of associated cardiometabolic risk factors, and to determine if changes in VAI after weight loss intervention will reflect changes in VAT. We performed a secondary analysis using the data of 99 overweight and postmenopausal women that completed a 6-month weight loss program (Montreal Ottawa New Emerging Team Study). VAI was calculated according to the equation by Amato et al. (2010; Diabetes Care, 33(4):920–922). At baseline, VAI was associated with VAT (r = 0.284, p < 0.01) but not with subcutaneous adipose tissue (SAT) while body mass index (BMI) and waist circumference (WC) were significantly related to both. BMI and WC demonstrated significantly stronger predictive value of VAT accumulation (area under the curve = 0.84 and 0.86, respectively) than VAI (area under the curve = 0.61; p < 0.01). However, VAT, BMI, WC, and VAI were similarly related to fasting insulin and glucose disposal rates. After a 6-month weight loss program, VAI decreased significantly and similarly in both intervention groups (p < 0.01). In addition, the percentage of change in VAI showed the significantly weakest correlation (r = 0.25) with the percentage of change in VAT than BMI (r = 0.56; p < 0.01 for r comparisons) and was not a significant predictor of interindividual percentage of change in VAT while BMI accounted for 33.7%. VAI is a weak indicator of VAT function and did not predict changes in VAT after weight loss. Furthermore, this index was not superior to BMI or WC. However, VAI is a good indicator of metabolic syndrome.

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Visceral adipose tissue measured by DXA correlates with measurement by CT and is associated with cardiometabolic risk factors in children

Pediatric Obesity ◽

10.1111/ijpo.249 ◽

2014 ◽

Vol 10 (3) ◽

pp. 172-179 ◽

Cited By ~ 45

Author(s):

T. A. Bosch ◽

D. R. Dengel ◽

A. S. Kelly ◽

A. R. Sinaiko ◽

A. Moran ◽

...

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Visceral Adipose

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Cardiometabolic Risk Factors and Visceral Adipose Tissue

The Diabetes Educator ◽

10.1177/0145721708316763 ◽

2008 ◽

Vol 34 (2_suppl) ◽

pp. 37S-41S ◽

Cited By ~ 1

Author(s):

Priscilla Hollander

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Visceral Adipose

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Dietary Patterns, Abdominal Visceral Adipose Tissue, and Cardiometabolic Risk Factors in African Americans: The Jackson Heart Study

Obesity ◽

10.1038/oby.2012.145 ◽

2012 ◽

Cited By ~ 2

Author(s):

Jiankang Liu ◽

DeMarc A. Hickson ◽

Solomon K. Musani ◽

Sameera A. Talegawkar ◽

Teresa C. Carithers ◽

...

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

African Americans ◽

Visceral Adipose Tissue ◽

Dietary Patterns ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Jackson Heart Study ◽

Heart Study ◽

Visceral Adipose

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Alterations of plasma metabolite profiles related to adipose tissue distribution and cardiometabolic risk

AJP Endocrinology and Metabolism ◽

10.1152/ajpendo.00231.2015 ◽

2015 ◽

Vol 309 (8) ◽

pp. E736-E746 ◽

Cited By ~ 57

Author(s):

Marie Michèle Boulet ◽

Geneviève Chevrier ◽

Thomas Grenier-Larouche ◽

Mélissa Pelletier ◽

Mélanie Nadeau ◽

...

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Gynecologic Surgery ◽

Obese Women ◽

Protein Levels ◽

Tissue Area ◽

Visceral Adipose

Metabolomic profiling of obese individuals revealed altered concentrations of many metabolites, especially branched-chain amino acids (BCAA), possibly linked to altered adipose tissue BCAA catabolism. We tested the hypothesis that some features of this metabolite signature relate closely to visceral obesity and concomitant alterations in cardiometabolic risk factors. We also postulated that alterations in BCAA-catabolizing enzymes are predominant in visceral adipose tissue. Fifty-nine women (BMI 20–41 kg/m2) undergoing gynecologic surgery were recruited and characterized for overall and regional adiposity, blood metabolite levels using targeted metabolomics, and cardiometabolic risk factors. Adipose samples (visceral and subcutaneous) were obtained and used for gene expression and Western blot analyses. Obese women had significantly higher circulating BCAA and kynurenine/tryptophan (Kyn/Trp) ratio than lean or overweight women ( P < 0.01). Principal component analysis confirmed that factors related to AA and the Kyn/Trp ratio were positively associated with BMI, fat mass, visceral or subcutaneous adipose tissue area, and subcutaneous adipocyte size ( P ≤ 0.05). AA-related factor was positively associated with HOMA-IR ( P ≤ 0.01). Factors reflecting glycerophospholipids and sphingolipids levels were mostly associated with altered blood lipid concentrations ( P ≤ 0.05). Glutamate level was the strongest independent predictor of visceral adipose tissue area ( r = 0.46, P < 0.001). Obese women had lower expression and protein levels of BCAA-catabolizing enzymes in visceral adipose tissue than overweight or lean women ( P ≤ 0.05). We conclude that among metabolites altered in obesity plasma concentrations of BCAA and the Kyn/Trp ratio are closely related to increased adiposity. Alterations in expression and protein levels of BCAA-catabolizing enzymes are predominant in visceral adipose tissue.

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DXA-Determined Visceral Adipose Tissue Is Associated with Cardiometabolic Risk Factors Even in Healthy Young Adults from the Nutritionists’ Health Study—NutriHS

Diabetes ◽

10.2337/db18-2360-pub ◽

2018 ◽

Vol 67 (Supplement 1) ◽

pp. 2360-PUB

Author(s):

ANGÉLICA M.M. VALENTE ◽

BIANCA ALMEIDA-PITITTO ◽

ALEXANDRE A. FERRARO ◽

LUCIANA FOLCHETTI ◽

ISIS T. SILVA ◽

...

Keyword(s):

Risk Factors ◽

Young Adults ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Health Study ◽

Visceral Adipose

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DXA-Derived Visceral Adipose Tissue (VAT) in Elderly: Percentiles of Reference for Gender and Association with Metabolic Outcomes

Life ◽

10.3390/life10090163 ◽

2020 ◽

Vol 10 (9) ◽

pp. 163

Author(s):

Daniele Spadaccini ◽

Simone Perna ◽

Gabriella Peroni ◽

Giuseppe D’Antona ◽

Giancarlo Iannello ◽

...

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Elderly Patients ◽

Visceral Adipose Tissue ◽

Biochemical Analysis ◽

Dual Energy ◽

X Ray ◽

Metabolic Outcomes ◽

Related Risk ◽

Visceral Adipose

This study aimed to establish the Dual-Energy X-ray Absorptiometry (DXA)-derived Visceral adipose tissue (VAT) reference values for gender and assess the metabolic outcomes associated to the VAT in a cohort of elderly patients. The sample included 795 elderly patients (226/569: men/women) aged 65–100 years (mean age 80.9 ± 7.5ys). Body composition measures and VAT were assessed by DXA and Core-Scan software. Biochemical analysis and a multidimensional comprehensive geriatric assessment were performed. VAT percentiles at the level of 5, 25, 50, 75, 95 were found in males at the following levels: 246, 832, 1251, 1769, 3048 cm3 and for females at 99, 476, 775, 1178, 2277 cm3. Moreover, this study showed that DXA-VAT was associated to a worsening of lipid, glycemic, hematocrit and kidney profile. Further studies will be needed in order to implement these findings in order to define the (DXA)-derived VAT levels associated to the frailty related risk factors in elderly.

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DXA Measured Visceral Adipose Tissue, Total Fat, Anthropometric Indices and its Association With Cardiometabolic Risk Factors in Mother-Daughter Pairs From India

Journal of Clinical Densitometry ◽

10.1016/j.jocd.2020.06.001 ◽

2020 ◽

Author(s):

Sahana Shetty ◽

Nitin Kapoor ◽

Nihal Thomas ◽

Thomas Vizhalil Paul

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Anthropometric Indices ◽

Total Fat ◽

Visceral Adipose

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Reference Values for DXA-Derived Visceral Adipose Tissue in Adults 40 Years and Older from a European Population: The Tromsø Study 2015–2016

Journal of Obesity ◽

10.1155/2021/6634536 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Marie W. Lundblad ◽

Bjarne K. Jacobsen ◽

Jonas Johansson ◽

Emanuella De Lucia Rolfe ◽

Sameline Grimsgaard ◽

...

Keyword(s):

Risk Factors ◽

Adipose Tissue ◽

Visceral Adipose Tissue ◽

Reference Values ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors ◽

Whole Body ◽

Operating Characteristics ◽

Measurement Units ◽

Visceral Adipose

Background. Reference values for visceral adipose tissue (VAT) are needed and it has been advocated that body composition measures depend on both the technique and methods applied, as well as the population of interest. We aimed to develop reference values for VAT in absolute grams (VATg), percent (VAT%), and as a kilogram-per-meters-squared index (VATindex) for women and men, and investigate potential differences between these measures and their associations with cardiometabolic risk factors (including metabolic syndrome (MetS)). Methods. In the seventh survey of the population-based Tromsø Study, 3675 participants (aged 40–84, 59% women) attended whole-body DXA scans (Lunar Prodigy GE) from where VAT was derived. We used descriptive analysis, correlations, receiver operating characteristics (ROC), and logistic regression to propose reference values for VAT and investigated VAT’s association with cardiometabolic risk factors, MetS and single MetS components. Further, Youden’s index was used to suggest threshold values for VAT. Results. VATg and VATindex increased until age 70 and then decreased, while VAT% increased with age across all age groups. VAT (all measurement units) was moderate to highly correlated and significantly associated with all cardiometabolic risk factors, except for total cholesterol. Associations between MetS, single MetS components, and VATg and VATindex were similar, and VAT% did not contribute any further to this association. Conclusion. These VAT reference values and thresholds, developed in a sample of adults of Norwegian origin, could be applied to other studies with similar populations using the same DXA device and protocols. The associations between VAT and cardiometabolic risk factors were similar across different measurement units of VAT.

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