scholarly journals The Threshold of Visceral Adipose Tissue Areas Measured With QCT On Cardiometabolic Risk Factors In A Nationwide Study In China

2021 ◽  
Author(s):  
Xiaojuan Zha ◽  
Yanhui Lu ◽  
Yongli Li ◽  
Dong Yan ◽  
Limei Ran ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Large Scale ◽  
Cardiometabolic Risk ◽  
Threshold Values ◽  
Men And Women ◽  
Anthropometric Index ◽  
Visceral Adipose

Abstract Background: Abdominal adiposity is associated with increased cardiometabolic risk and visceral adipose tissue (VAT) area obtained from computed tomography (CT) is a key anthropometric index. The present study investigated the VAT criteria on cardiometabolic risk factors in a large-scale nationwide Chinese population.Method: A total of 21,772 adults who underwent a low dose chest CT (LDCT) for lung cancer screening at one of 13 health checkup centers throughout China and had complete ancillary health records were evaluated. Abdominal VAT area at the center of L2 vertebra was measured with Mindways quantitative CT software using the existing LDCT dataset. Relevant anthropometric, serum and blood pressure measurements were obtained from the participants’ records. The VAT distribution of the LDCT cohort was age-adjusted using the Chinese national census. Results: The prevalence of metabolic syndrome based on the Chinese national guidelines was 29.5% and 10.5% in men and women respectively. Using ROC curves, the optimum threshold values for VAT area to identify metabolic syndrome were 213 cm2 in men, and 136 cm2 in women. For participants with VAT area above threshold, the odds ratio (95% confidence interval) for metabolic syndrome was 6.15 (5.65, 6.69) and 9.25 (7.58, 11.4) for men and women respectively. A further analysis of population attributable risk showed that VAT above threshold was significantly associated with an increased risk for metabolic syndrome.Conclusion: In this large-scale nationwide population of China, sex-specific threshold values for VAT area measured by CT were established to identify the risk of metabolic syndrome. VAT area is a key anthropometric index of interventions to control cardiometabolic risk.

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

2014 ◽  
Vol 10 (3) ◽  
pp. 172-179 ◽  
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

scholarly journals Cut-Off Points of Visceral Adipose Tissue Associated with Metabolic Syndrome in Military Men

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 886
Author(s):  
Samir Ezequiel da Rosa ◽  
Amina Chain Costa ◽  
Marcos S. R. Fortes ◽  
Runer Augusto Marson ◽  
Edurado Borba Neves ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Roc Curve ◽  
Youden Index ◽  
Good Precision ◽  
Biochemical Tests ◽  
Student’S T ◽  
Visceral Adipose

Visceral adipose tissue (VAT) has high metabolic activity and secretes a larger number of adipokines that are related to the inflammatory process. Quantifying VAT could estimate the risk of developing Metabolic Syndrome (MetS). This study was designed to determine the VAT cut-off points assessed by DXA associated with MetS in military men. In total, 270 (37.5 ± 6.9 years) military men from the Brazilian Army (BA) participated in the study. Anthropometric measurements, assessment of body composition by dual X-ray absorptiometry (DXA), hemodynamics and biochemical tests were performed. The Student’s t test, independent samples, Person’s correlation, ROC curve, Youden Index and positive (PPV) and negative predictive value (NPV) were used. The MetS prevalence was 27.4%, which means that 74 (38.0 ± 7.3 years) military men had at least three risk factors of MetS present. The cutoff point of VAT with the highest balance between sensitivity (77.0%) and specificity (69.9%) was 1025.0 cm3 (1086.0 g). An area on the ROC curve was 0.801 (p < 0.000), which was very good precision. VAT ≥ 1025.0 cm3 (1086.0 g) is associated with the risk factors of MetS and is, therefore, a predictor of the disease with good indicators of sensitivity and specificity and a robust indicator of MetS.

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

2015 ◽  
Vol 309 (8) ◽  
pp. E736-E746 ◽  
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.

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

Diabetes ◽  
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

scholarly journals 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

Obesity ◽  
2012 ◽  
Vol 20 (4) ◽  
pp. 886-890 ◽  
Author(s):  
Antony D. Karelis ◽  
Rémi Rabasa-Lhoret ◽  
Roseline Pompilus ◽  
Virginie Messier ◽  
Irene Strychar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Dual Energy ◽  
Cardiometabolic Risk Factors ◽  
X Ray ◽  
Before And After ◽  
Visceral Adipose

scholarly journals Metabolic profiling of visceral adipose tissue from obese subjects with or without metabolic syndrome

2018 ◽  
Vol 475 (5) ◽  
pp. 1019-1035 ◽  
Author(s):  
Eleonora Candi ◽  
Manfredi Tesauro ◽  
Carmine Cardillo ◽  
Anna Maria Lena ◽  
Francesca Schinzari ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mass Spectrometry ◽  
Metabolic Syndrome ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Vascular Complications ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Obese Subjects ◽  
Visceral Adipose

Obesity represents one of the most complex public health challenges and has recently reached epidemic proportions. Obesity is also considered to be primarily responsible for the rising prevalence of metabolic syndrome, defined as the coexistence in the same individual of several risk factors for atherosclerosis, including dyslipidemia, hypertension and hyperglycemia, as well as for cancer. Additionally, the presence of three of the five risk factors (abdominal obesity, low high-density lipoprotein cholesterol, high triglycerides, high fasting glucose and high blood pressure) characterizes metabolic syndrome, which has serious clinical consequences. The current study was conducted in order to identify metabolic differences in visceral adipose tissue (VAT) collected from obese (body mass index 43–48) human subjects who were diagnosed with metabolic syndrome, obese individuals who were metabolically healthy and nonobese healthy controls. Extensive gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS/MS) analyses were used to obtain the untargeted VAT metabolomic profiles of 481 metabolites belonging to all biochemical pathways. Our results indicated consistent increases in oxidative stress markers from the pathologically obese samples in addition to subtle markers of elevated glucose levels that may be consistent with metabolic syndrome. In the tissue derived from the pathologically obese subjects, there were significantly elevated levels of plasmalogens, which may be increased in response to oxidative changes in addition to changes in glycerolphosphorylcholine, glycerolphosphorylethanolamine glycerolphosphorylserine, ceramides and sphingolipids. These data could be potentially helpful for recognizing new pathways that underlie the metabolic–vascular complications of obesity and may lead to the development of innovative targeted therapies.

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