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Wang Z, Zhong S, Wu M, Shao X, Gu T, Xu M, Yang Q. The Relationship Between Remnant Cholesterol and Visceral Adipose Tissue: A National Cross-Sectional Study. Horm Metab Res 2025; 57:47-54. [PMID: 39059415 DOI: 10.1055/a-2357-2579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
The aim of our study is to explore the relationship between remnant cholesterol (RC) levels and visceral adipose tissue (VAT) in the US adult population. This cross-sectional study utilized data from 5301 participants aged 20 to 59 years gathered by the National Health and Nutrition Examination Survey (NHANES). RC was determined by deducting both high-density lipoprotein cholesterol (HDL-c) and low-density lipoprotein cholesterol (LDL-c) from total cholesterol (TC), and VAT was measured using dual-energy X-ray absorptiometry. Visceral obesity is defined as a VAT area ≥ 100 cm2. With increasing quartiles of RC levels, the prevalence of visceral obesity rises (16.51% vs. 36.11% vs. 55.66% vs. 74.48%, p<0.001). After adjusting for confounders, RC levels positively correlate with visceral obesity risk (OR=1.039, 95% CI 1.031-1.048, p<0.001). Additionally, individuals with low LDL-c/high RC and those with high LDL-c/low RC showed 2.908-fold (95% CI 1.995-4.241) and 1.310-fold (95% CI 1.022-1.680) higher risk of visceral obesity, respectively, compared to those with low LDL-c/low RC. Receiver Operating Characteristic (ROC) and Decision Curve Analysis (DCA) show RC's superior predictive ability over other lipid markers. Subgroup analysis showed that the relationship between RC and visceral obesity was more ronounced in those with cardiovascular disease. Smooth curve fitting indicated a nonlinear relationship between RC levels and VAT area. Our study highlights that elevated levels of RC are associated with adverse accumulation of VAT. However, the causal relationship between RC and visceral obesity requires additional investigation.
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Affiliation(s)
- Zhaoxiang Wang
- Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
| | - Shao Zhong
- Clinical Nutrition, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
| | - Menghuan Wu
- Endocrinology, Shanghai Putuo District Liqun Hospital, Shanghai, China
| | - Xuejing Shao
- Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, China
- Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Tian Gu
- Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, China
- Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Mengjiao Xu
- Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, China
- Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
| | - Qichao Yang
- Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, China
- Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, China
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Zhu K, Walsh JP, Hunter M, Murray K, Hui J, Hung J. Longitudinal associations of DXA-measured visceral adipose tissue and cardiometabolic risk in middle-to-older aged adults. Nutr Metab Cardiovasc Dis 2024; 34:2519-2527. [PMID: 39098379 DOI: 10.1016/j.numecd.2024.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/06/2024] [Accepted: 06/24/2024] [Indexed: 08/06/2024]
Abstract
BACKGROUND AND AIMS DXA-measured visceral adipose tissue (VATDXA) is associated with adverse cardiometabolic risk profiles in cross-sectional studies, but longitudinal associations have not been investigated. We examined the longitudinal associations of baseline and change in VATDXA with future cardiometabolic risk in Australian participants of the Busselton Healthy Ageing study. METHODS AND RESULTS We studied 3569 participants (54.7% female, aged 46-70 years) with data on VATDXA (GE Lunar Prodigy) and cardiometabolic risk factors at baseline and 6 years follow-up. The associations were examined using logistic and linear regression models, adjusting for baseline age and lifestyle factors. Mean baseline VATDXA mass was 1653 ± 880 g and 855 ± 580 g, and mean change in VATDXA +99 ± 500 g and +58 ± 312 g in males and females, respectively. Among all participants, 182 males (11.3%) and 197 females (10.1%) developed incident metabolic syndrome (MetS). Baseline VATDXA was associated with incident MetS with an adjusted odds ratio of 2.53 (95% CI: 2.03, 3.15) in males and 2.78 (2.30, 3.36) in females per SD increment. There was a graded positive association between longitudinal change in VATDXA and MetS severity z score in both sexes adjusted for baseline VAT (P < 0.001). All the above associations remained significant after further adjustment for baseline or change in BMI, waist circumference or waist-to-hip ratio in respective models (all P < 0.001). CONCLUSIONS Higher baseline and greater longitudinal increase in VATDXA are independently associated with raised cardiometabolic risk over time, and may serve as useful markers for identifying middle-aged individuals at increased cardiometabolic risk.
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Affiliation(s)
- Kun Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia; Medical School, University of Western Australia, Perth, Australia.
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia; Medical School, University of Western Australia, Perth, Australia
| | - Michael Hunter
- School of Population and Global Health, University of Western Australia, Perth, Australia; Busselton Population Medical Research Institute, Busselton, Australia
| | - Kevin Murray
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Jennie Hui
- School of Population and Global Health, University of Western Australia, Perth, Australia; Busselton Population Medical Research Institute, Busselton, Australia; Department of Diagnostic Genomics, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Perth, Australia
| | - Joseph Hung
- Medical School, University of Western Australia, Perth, Australia
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Valente GV, Machado LG, Figueiredo CP, Caparbo VF, Takayama L, Franco AS, Fernandes AL, Oliveira RM, Pereira RMR, Domiciano DS. Visceral adipose tissue measured by DXA predicts metabolic syndrome in low-income community-dwelling elderly: Insights from the São Paulo Aging & Health (SPAH) study. Bone 2024; 190:117308. [PMID: 39486600 DOI: 10.1016/j.bone.2024.117308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 10/09/2024] [Accepted: 10/25/2024] [Indexed: 11/04/2024]
Abstract
While visceral fat measured by dual-energy X-ray absorptiometry (DXA) is accurate in identifying middle-aged people at increased cardiometabolic risk, consistent data for the elderly are still lacking. We aimed to investigate the association between DXA-derived visceral adipose tissue (VAT) and metabolic syndrome (MetS) and to establish optimal cutoffs for VAT to predict MetS in a low-income elderly Brazilian cohort. A total of 449 women and 258 men (≥65 years) from the community were enrolled in this study. Participants underwent clinical and laboratory evaluations, along with body composition analysis by Hologic Discovery A densitometer. VAT was measured in the android region of the DXA scan. MetS was diagnosed using NCEP-ATPIII criteria. Multivariate logistic regression analyzed the relationship between VAT and MetS. Receiver-operating characteristic (ROC) curve analysis evaluated VAT's predictive accuracy for MetS, with optimal cutoffs determined by Youden's test to balance sensitivity and specificity. Mean ages were 76.6 ± 4.7 years for men and 77.1 ± 4.9 years for women. Mean BMIs were 26.5 ± 3.8 kg/m2 for men and 29.0 ± 5.2 kg/m2 for women. One hundred and seventy-five (41.5 %) men and 274 (61 %) women had MetS. After adjustments for confounders, multivariate analysis showed that VAT was independently associated with MetS in both men (OR 1.41, 95%CI 1.15-1.72) and women (OR 1.33, 95%CI 1.16-1.54, per each 100 g increase). Optimal VAT cutoffs to predict MetS were 642.5 g for men (AUC = 0.740) and 600.5 g for women (AUC = 0.729). Subanalysis for non-overweight/non-obese subjects yielded lower VAT cutoffs. Thus, VAT measured by DXA was significantly associated with MetS in older adults, regardless of BMI, emphasizing the critical role of VAT in predicting MetS. Therefore, VAT by DXA holds promise for evaluating MetS risk in the elderly. Further longitudinal studies are needed to investigate VAT's impact on major cardiovascular event incidence in this demographic.
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Affiliation(s)
- Gabriel V Valente
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Luana G Machado
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Camille P Figueiredo
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Valéria F Caparbo
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Liliam Takayama
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - André S Franco
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Alan L Fernandes
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | | | - Rosa M R Pereira
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil
| | - Diogo S Domiciano
- Rheumatology Division, Bone Metabolism Laboratory, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, Brazil.
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Sato M, Tamura Y, Murao Y, Yorikawa F, Katsumata Y, Watanabe S, Zen S, Kodera R, Oba K, Toyoshima K, Chiba Y, Araki A. Coexistence of high visceral fat area and sarcopenia is associated with atherosclerotic markers in old-old patients with diabetes: A cross-sectional study. J Diabetes Investig 2024; 15:1510-1518. [PMID: 39105252 PMCID: PMC11442752 DOI: 10.1111/jdi.14274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 07/09/2024] [Accepted: 07/17/2024] [Indexed: 08/07/2024] Open
Abstract
AIMS/INTRODUCTION To investigate whether sarcopenic obesity is associated with the progression of atherosclerotic lesions in older patients with diabetes and to identify the obesity components of sarcopenic obesity that best reflect atherosclerosis. MATERIALS AND METHODS In 118 inpatients aged ≥75 years with diabetes mellitus, sarcopenia defined as a low skeletal muscle mass and low grip strength was assessed, and sarcopenia coexisting with a high body-fat percentage or visceral fat area was defined as sarcopenic obesity. Correlations between the obesity components and atherosclerotic markers, including the carotid intima-media thickness, were analyzed; the intima-media thickness was analyzed in four groups with and without obesity and sarcopenia, and a multiple linear regression analysis adjusted for covariates was conducted to investigate whether sarcopenic obesity was independently associated with the intima-media thickness. RESULTS The visceral fat area and intima-media thickness showed positive correlations in the overall patients (P = 0.032) and the sarcopenia (P = 0.016) group but showed no associations in participants without sarcopenia. The intima-media thickness in the group showing sarcopenia with a high visceral fat area was significantly higher than that in the control group (P = 0.012). Sarcopenic obesity defined by a high body-fat percentage and high visceral fat area was independently associated with the intima-media thickness even after adjusting for age, sex, and atherogenic risk factors. However, sarcopenic obesity defined by a high visceral fat area was more strongly associated with the intima-media thickness (β = 0.384, P = 0.002) than that defined by the high body-fat percentage (β = 0.237, P = 0.068). CONCLUSIONS Sarcopenic obesity, especially that defined by visceral fat accumulation, reflected the risk of atherosclerotic lesion progression in older patients with diabetes.
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Affiliation(s)
- Motoya Sato
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Yoshiaki Tamura
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
- The Center for Comprehensive Care and Research for Prefrailty, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Yuji Murao
- The Center for Comprehensive Care and Research for Prefrailty, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Fumino Yorikawa
- The Center for Comprehensive Care and Research for Prefrailty, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Yuu Katsumata
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - So Watanabe
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Shugo Zen
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Remi Kodera
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Kazuhito Oba
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Kenji Toyoshima
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Yuko Chiba
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
| | - Atsushi Araki
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
- The Center for Comprehensive Care and Research for Prefrailty, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi-ku, Tokyo, Japan
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Bennett JP, Prado CM, Heymsfield SB, Shepherd JA. Evaluation of visceral adipose tissue thresholds for elevated metabolic syndrome risk across diverse populations: A systematic review. Obes Rev 2024; 25:e13767. [PMID: 38761009 DOI: 10.1111/obr.13767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 05/20/2024]
Abstract
Beyond obesity, excess levels of visceral adipose tissue (VAT) significantly contribute to the risk of developing metabolic syndrome (MetS), although thresholds for increased risk vary based on population, regions of interest, and units of measure employed. We sought to determine whether a common threshold exists that is indicative of heightened MetS risk across all populations, accounting for sex, age, BMI, and race/ethnicity. A systematic literature review was conducted in September 2023, presenting threshold values for elevated MetS risk. Standardization equations harmonized the results from DXA, CT, and MRI systems to facilitate a comparison of threshold variations across studies. A total of 52 papers were identified. No single threshold could accurately indicate elevated risk for both males and females across varying BMI, race/ethnicity, and age groups. Thresholds fluctuated from 70 to 165.9 cm2, with reported values consistently lower in females. Generally, premenopausal females and younger adults manifested elevated risks at lower VAT compared to their older counterparts. Notably, Asian populations exhibited elevated risks at lower VAT areas (70-136 cm2) compared to Caucasian populations (85.6-165.9 cm2). All considered studies reported associations of VAT without accommodating covariates. No single VAT area threshold for elevated MetS risk was discernible post-harmonization by technology, units of measure, and region of interest. This review summarizes available evidence for MetS risk assessment in clinical practice. Further exploration of demographic-specific interactions between VAT area and other risk factors is imperative to comprehensively delineate overarching MetS risk.
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Affiliation(s)
| | - Carla M Prado
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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Oguntade AS, Taylor H, Lacey B, Lewington S. Adiposity, fat-free mass and incident heart failure in 500 000 individuals. Open Heart 2024; 11:e002711. [PMID: 38964877 PMCID: PMC11227841 DOI: 10.1136/openhrt-2024-002711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 06/20/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND AND AIMS The independent role of body fat distribution and fat-free mass in heart failure (HF) risk is unclear. We investigated the role of different body composition compartments in risk of HF. METHODS Present analyses include 428 087 participants (mean age 55.9 years, 44% male) from the UK Biobank. Associations of long-term average levels of body composition measures with incident HF were determined using adjusted Cox proportional hazards regression models. RESULTS Over a median follow-up of 13.8 years, there were 10 455 first-ever incident HF events. Overall, HF risk was more strongly associated with central adiposity (waist circumference (WC) adjusted for body mass index (BMI); HR 1.38, 95% CI 1.32 to 1.45) than general adiposity (BMI adjusted for WC; HR 1.22, 95% CI 1.16 to 1.27). Although dual X-ray absorptiometry-derived body fat remained positively related to HF after adjustment for fat-free mass (HR 1.37, 95% CI 1.18 to 1.59), the association of fat-free mass with HF was substantially attenuated by fat mass (HR 1.12, 95% CI 1.01 to 1.26) while visceral fat (VAT) remained associated with HF independent of subcutaneous fat (HR 1.20, 95% CI 1.09 to 1.33). In analyses of HF subtypes, HF with preserved ejection fraction was independently associated with all fat measures (eg, VAT: HR 1.23, 95% CI 1.12 to 1.35; body fat: HR 1.36, 95% CI 1.17 to 1.57) while HF with reduced ejection fraction was not independently associated with fat measures (eg, VAT: HR 1.29, 95% CI 0.98 to 1.68; body fat: HR 1.29, 95% CI 0.80 to 2.07). CONCLUSIONS This large-scale study shows that excess adiposity and fat mass are associated with higher HF risk while the association of fat-free mass with HF could be explained largely by its correlation with fat mass. The study also describes the independent relevance of body fat distribution to HF subtypes, suggesting different mechanisms may be driving their aetiopathogenesis.
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Affiliation(s)
- Ayodipupo S Oguntade
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Cardiology, Hull University Teaching Hospitals NHS Trust, Hull, UK
| | - Hannah Taylor
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ben Lacey
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Sarah Lewington
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
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Zhang X, Wang Q, Wang Y, Ma C, Zhao Q, Yin H, Li L, Wang D, Huang Y, Zhao Y, Shi X, Li X, Huang C. Interleukin-6 promotes visceral adipose tissue accumulation during aging via inhibiting fat lipolysis. Int Immunopharmacol 2024; 132:111906. [PMID: 38593501 DOI: 10.1016/j.intimp.2024.111906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 03/06/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Age-related visceral obesity could contribute to the development of cardiometabolic complications. The pathogenesis of visceral fat mass accumulation during the aging process remains complex and largely unknown. Interleukin-6 (IL-6) has emerged as one of the prominent inflammaging markers which are elevated in circulation during aging. However, the precise role of IL-6 in regulating age-related visceral adipose tissue accumulation remains uncertain. RESULTS A cross-sectional study including 77 older adults (≥65 years of age) was initially conducted. There was a significant positive association between serum IL-6 levels and visceral fat mass. We subsequently validated a modest but significant elevation in serum IL-6 levels in aged mice. Furthermore, we demonstrated that compared to wildtype control, IL-6 deficiency (IL-6 KO) significantly attenuated the accumulation of visceral adipose tissue during aging. Further metabolic characterization suggested that IL-6 deficiency resulted in improved lipid metabolism parameters and energy expenditure in aged mice. Moreover, histological examinations of adipose depots revealed that the absence of IL-6 ameliorated adipocyte hypertrophy in visceral adipose tissue of aged mice. Mechanically, the ablation of IL-6 could promote the PKA-mediated lipolysis and consequently mitigate lipid accumulation in adipose tissue in aged mice. CONCLUSION Our findings identify a detrimental role of IL-6 during the aging process by promoting visceral adipose tissue accumulation through inhibition of lipolysis. Therefore, strategies aimed at preventing or reducing IL-6 levels may potentially ameliorate age-related obesity and improve metabolism during aging.
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Affiliation(s)
- Xiaofang Zhang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Qingxuan Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Yaru Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Chen Ma
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Qing Zhao
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Hongyan Yin
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Long Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China; Institute of Drug Discovery Technology, Ningbo University, Ningbo 315211, China
| | - Dongmei Wang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China; Department of Public Health and Medical Technology, Xiamen Medical College, Xiamen 361023, China
| | - Yinxiang Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Yan Zhao
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Xiulin Shi
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China
| | - Xuejun Li
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China.
| | - Caoxin Huang
- Department of Endocrinology and Diabetes, Xiamen Diabetes Institute, Fujian Key Laboratory of Translational Research for Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361003, China.
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8
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Price SAL, Finch S, Krejany E, Jiang H, Kale A, Domchek S, Wrede D, Wark JD, Hickey M. WHAM-A Prospective Study of Weight and Body Composition After Risk-Reducing Bilateral Salpingo-oophorectomy. J Clin Endocrinol Metab 2023; 109:e397-e405. [PMID: 37410931 PMCID: PMC10735279 DOI: 10.1210/clinem/dgad385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 06/09/2023] [Accepted: 06/26/2023] [Indexed: 07/08/2023]
Abstract
CONTEXT Body weight and composition may change over the natural menopause transition. Whether surgical menopause has similar effects, and the impact of hormone replacement therapy (HRT), are unknown. Understanding the metabolic effects of surgical menopause will inform clinical care. OBJECTIVE To prospectively measure weight and body composition over 24 months following surgical menopause compared with a similar comparison group who retained their ovaries. METHODS Prospective observational study of weight change from baseline to 24 months in 95 premenopausal women at elevated risk of ovarian cancer planning risk-reducing salpingo-oophorectomy (RRSO) and 99 comparators who retained their ovaries. Change in body composition from baseline to 24 months was also assessed by dual-energy x-ray absorptiometry in a subgroup of 54 women who underwent RRSO and 81 comparators who retained their ovaries. In the subgroup, weight, fat mass, lean mass, and abdominal fat measures were compared between groups. RESULTS At 24 months both groups had gained weight (RRSO 2760 ± 4860 g vs comparators 1620 ± 4540 g) with no difference between groups (mean difference 730 g; 95% CI 920 g to 2380 g; P = .383). In the body composition subgroup, there was no difference in weight between groups at 24 months (mean difference 944 g; 95% CI -1120 g to 2614 g; P = .431). RRSO women may have gained slightly more abdominal visceral adipose tissue (mean difference 99.0 g; 95% CI 8.8 g to 189.2 g; P = .032) but there were no other differences in body composition. There were also no differences in weight or body composition between HRT users and nonusers at 24 months. CONCLUSION 24 months after RRSO, there was no difference in body weight compared with women who retained their ovaries. RRSO women gained more abdominal visceral adipose tissue than comparators, but there were no other differences in body composition. Use of HRT following RRSO had no effect on these outcomes.
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Affiliation(s)
- Sarah A L Price
- Department of Medicine, University of Melbourne, Grattan St, Parkville, Victoria 3050, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria 3051, Australia
- Department of Obstetric Medicine, Royal Women's Hospital, Melbourne, Victoria 3051, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Grattan St, Parkville, Victoria 3010, Australia
| | - Sue Finch
- Statistical Consulting Centre, School of Mathematics and Statistics, University of Melbourne, Carlton, Victoria 3053, Australia
| | - Efrosinia Krejany
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, Melbourne, Victoria 3051, Australia
| | - Hongyuan Jiang
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qindao, Shandong Province 266000, China
| | - Ashwini Kale
- Department of Medicine, University of Melbourne, Grattan St, Parkville, Victoria 3050, Australia
- Bone and Mineral Medicine, Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria 3010, Australia
| | - Susan Domchek
- Basser Centre for BRCA, Department of Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David Wrede
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria 3051, Australia
- Department of Obstetric Medicine, Royal Women's Hospital, Melbourne, Victoria 3051, Australia
| | - John D Wark
- Department of Medicine, University of Melbourne, Grattan St, Parkville, Victoria 3050, Australia
- Bone and Mineral Medicine, Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria 3010, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria 3051, Australia
- Department of Obstetrics and Gynaecology, Royal Women's Hospital, Melbourne, Victoria 3051, Australia
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9
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Bennett JP, Fan B, Liu E, Kazemi L, Wu XP, Zhou HD, Lu Y, Shepherd JA. Standardization of dual-energy x-ray visceral adipose tissue measures for comparison across clinical imaging systems. Obesity (Silver Spring) 2023; 31:2936-2946. [PMID: 37789584 DOI: 10.1002/oby.23885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/19/2023] [Accepted: 07/10/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVE Excess visceral adipose tissue (VAT) is a major risk factor for metabolic syndrome (MetS) and clinical guidelines have been proposed to define VAT levels associated with increased risk. The aim was to standardize VAT measures between two dual-energy x-ray absorptiometry (DXA) manufacturers who provide different VAT estimates to support standardization of measures across imaging modalities. METHODS Scans from 114 individuals (ages 18-81 years) on GE HealthCare (GEHC) and Hologic DXA systems were compared via Deming regression to standardize VAT between the two systems, validated in a separate sample (n = 15), with κ statistics to assess agreement of VAT measurements for classifying patients into risk categories. RESULTS The GEHC and Hologic VAT measures were highly correlated and validated in the separate data set (r2 = 0.97). VAT area measures substantially agreed for metabolic risk classification (weighted κ = 0.76) with no significant differences in the population mean values. CONCLUSIONS VAT measures can be estimated from GEHC and Hologic scans that classify individuals in a substantially similar way into metabolic risk categories, and systematic bias between the measures can be removed using simple regression equations. These findings allow for DXA VAT measures to be used in complement to other imaging modalities, regardless of whether scans used GEHC or Hologic systems.
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Affiliation(s)
| | - Bo Fan
- Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, California, USA
| | - En Liu
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Leila Kazemi
- University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Xian-Ping Wu
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Chansha, Hunan, China
| | - Hou-De Zhou
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Chansha, Hunan, China
| | - Ying Lu
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA
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10
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Radecka A, Lubkowska A. The Significance of Dual-Energy X-ray Absorptiometry (DXA) Examination in Cushing's Syndrome-A Systematic Review. Diagnostics (Basel) 2023; 13:diagnostics13091576. [PMID: 37174967 PMCID: PMC10178172 DOI: 10.3390/diagnostics13091576] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/13/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
In recent years, the usefulness of dual-energy X-ray absorptiometry (DXA) as a valuable complementary method of assessing the content and distribution of adipose and lean tissue as well as bone mineral density and estimating the risk of fractures has been increasingly confirmed. The diagnosis and treatment of Cushing's syndrome remain challenging, and monitoring the effects of treatment is often necessary. DXA tests offer a potential solution to many problems related to the availability of a quick, detailed, and reliable analysis of changes in the content and distribution of individual body composition components. The article discusses total body DXA scans (FMI, VAT, ALMI), lumbar spine scans (VFA, TBS), and osteoporosis scans (BMD, T-score, Z-score)-all are of potential interest in Cushing's syndrome. The article discusses the use of the most important indicators obtained from a DXA test (FMI, VAT, ALMI, BMD, T-score, Z-score, VFA, TBS) and their clinical significance in Cushing's syndrome was verified. The literature from the last decade was used for the study, available in MEDLINE, Web of Science, and ScienceDirect.
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Affiliation(s)
- Aleksandra Radecka
- Department of Functional Diagnostics and Physical Medicine, Pomeranian Medical University in Szczecin, Żołnierska 54, 71-210 Szczecin, Poland
| | - Anna Lubkowska
- Department of Functional Diagnostics and Physical Medicine, Pomeranian Medical University in Szczecin, Żołnierska 54, 71-210 Szczecin, Poland
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11
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Association between Blood Manganese Levels and Visceral Adipose Tissue in the United States: A Population-Based Study. Nutrients 2022; 14:nu14224770. [PMID: 36432456 PMCID: PMC9697925 DOI: 10.3390/nu14224770] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/04/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Manganese (Mn) is an essential trace element with a narrow toxic margin for human health. The association between Mn exposure and adverse visceral adipose tissue (VAT) accumulation is unclear. Objective: This study aimed to estimate the associations of blood Mn levels with VAT mass or visceral obesity in the general population in the United States. Method: This cross-sectional study included data of 7297 individuals released by National Health and Nutrition Examination Survey (NHANES). VAT was quantified with dual-energy X-ray absorptiometry, and blood Mn was measured using inductively coupled plasma mass spectrometry. The generalized linear model and generalized additive model (GAM) were applied to estimate the linear and non-linear associations between Mn levels and VAT mass, respectively. Logistic regression was used to estimate the associations between blood Mn levels and the risk of visceral obesity. Results: Fully adjusted generalized linear regression revealed that individuals in the higher quantile of Mn had increased VAT mass compared with those in the lower quantile (β per quantile change = 0.025; 95% CI of 0.017, 0.033; p < 0.001). Positive associations were also observed in males and females (males: β per quantile change = 0.012, 95% CI of 0.002, 0.022 (p = 0.020); female: β per quantile change = 0.036; 95% CI of 0.023, 0.048 (p < 0.001)). The GAM illustrated that the non-linear associations between blood Mn levels and VAT mass were in U-shape patterns (effective degree of freedom >1 in total participants, males, and females). A stratified analysis found significant interactions between Mn and the family income-to-poverty ratio (PIR) in males, with stronger associations in males with a PIR < 1.3 (β = 0.109; 95% CI of 0.048, 0.170). Additional analyses revealed that individuals in the highest quantile of Mn had a 39% higher risk of visceral obesity (OR = 1.39; 95% CI of 1.15−1.69; p < 0.001). Conclusions: Higher blood Mn levels were positively associated with increased VAT mass and visceral obesity risk. The adverse VAT phenotype associated with excessive blood Mn levels should be further investigated.
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12
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Zhu K, Walsh JP, Murray K, Hunter M, Hui J, Hung J. DXA-Derived vs Standard Anthropometric Measures for Predicting Cardiometabolic Risk in Middle-Aged Australian Men and Women. J Clin Densitom 2022; 25:299-307. [PMID: 35177350 DOI: 10.1016/j.jocd.2022.01.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/08/2021] [Accepted: 01/04/2022] [Indexed: 12/11/2022]
Abstract
It is not clear if dual-energy X-ray absorptiometry (DXA) adiposity measures are superior to standard anthropometric measures for predicting cardiometabolic (CM) risk factors in a middle-aged general population. In the Busselton Healthy Ageing Study, we assessed a range of standard anthropometric and DXA-derived adiposity measures to predict metabolic syndrome (MetS) and CM risk factors in 4831 "baby boomers" aged 45-69 yr. Anthropometric and whole body DXA (GE Lunar Prodigy) measures were collected. Cross-sectional relationships of overall adiposity (BMI; DXA fat mass index, body fat %), central adiposity (waist circumference (WC); DXA trunk fat, android fat, abdominal visceral adipose tissue (VAT)) and ratio index (waist-to-hip ratio; DXA trunk/legs fat, android/gynoid ratio, VAT/total fat) with MetS and its components (as both continuous and binary outcomes) were evaluated using linear and logistic regression adjusting for age and lifestyle factors. Youden's Index was used to determine the optimal cut-points for predicting MetS. In linear regression analyses, central adiposity measures showed stronger associations with MetS score and CM risk factors than overall adiposity measures and fat ratio index, and DXA-VAT provided stronger associations than WC. Logistic regression models showed similar findings. For MetS diagnosis present in 35.9% of males and 24.4% of females, the highest odds ratio (95% CI) per SD change was observed for DXA-VAT (males: 5.02 [4.28, 5.88]; females: 3.91 [3.40, 4.49]), which remained significant (all p < 0.001) after further adjustment for BMI (males: 3.27 [2.65, 4.02]; females: 3.37 [2.79, 4.06]) or WC (males: 2.46 [1.95, 3.10]; females: 2.75 [2.21, 3.43]). The optimal DXA-VAT mass cut-point for predicting MetS was 1608 grams in males and 893 grams in females. DXA-VAT was superior to standard anthropometric and other DXA-derived adiposity measures for prediction of cardiometabolic risk factors, and has clinical utility for identifying middle-aged individuals at increased risk of MetS.
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Affiliation(s)
- Kun Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; Medical School, University of Western Australia, Crawley, Western Australia, Australia.
| | - John P Walsh
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; Medical School, University of Western Australia, Crawley, Western Australia, Australia
| | - Kevin Murray
- School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia
| | - Michael Hunter
- School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia; Busselton Population Medical Research Institute, Busselton, Western Australia, Australia
| | - Jennie Hui
- Department of Clinical Biochemistry, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Nedlands, Western Australia, Australia
| | - Joseph Hung
- Medical School, University of Western Australia, Crawley, Western Australia, Australia
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13
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Stamm E, Marques-Vidal P, Gonzalez Rodriguez E, Vollenweider P, Hans D, Lamy O. Association of adiposity evaluated by anthropometric, BIA, and DXA measures with cardiometabolic risk factors in nonobese postmenopausal women: the CoLaus/OsteoLaus cohort. Menopause 2022; 29:450-459. [PMID: 35357367 DOI: 10.1097/gme.0000000000001930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/12/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVE After menopause, body composition changes with body fat accumulation, and an increase in cardiometabolic risk factors. Total fat mass, regional fat mass, and visceral adipose tissue (VAT) may be estimated with anthropometric measures, bioelectrical impedance analysis (BIA), and dual-energy X-ray absorptiometry (DXA). The aim of our study was to assess which measurement correlated best with cardiometabolic risk factors in healthy nonobese postmenopausal women. METHODS The CoLaus/OsteoLaus cohort included 1,500 postmenopausal women (age range 50-80). We analyzed correlations between: 1) measurements of body composition assessed by anthropometric measures, BIA, and DXA and 2) these measurements and different selected cardiometabolic risk factors, such as blood pressure, lipid markers (cholesterol subtypes and triglycerides), and metabolic markers (glucose, insulin, adiponectin, and leptin). Spearman correlation coefficient, stepwise forward regression, and linear regression analyses were used to determine association between anthropometric measurements and cardiometabolic risk factors. RESULTS In the 803 included participants (mean age 62.0 ± 7.1 y, mean body mass index 25.6 kg/m2 ± 4.4), correlations between total fat mass measured by BIA and total fat mass, android fat, gynoid fat, or VAT measured by DXA are very strong (from r = 0.531, [99% confidence interval (CI), 0.443-0.610] to r = 0.704, [99% CI, 0.640-0.758]). Body mass index and waist circumference have a higher correlation with VAT (r = 0.815, [99% CI, 0.772-0.851] and r = 0.823 [99% CI, 0.782-0.858], respectively) than BIA (r = 0.672 [99% CI, 0.603-0.731]). Among the anthropometric measurement and the measurements derived from DXA and BIA, VAT is the parameter most strongly associated with cardiometabolic risk factors. VAT better explains the variation of most of the cardiometabolic risk factors than age and treatment. For example, nearly 5% of the variability of the diastolic blood pressure (9.9 vs 4.9), nearly 15% of the variability of high-density lipoprotein cholesterol (20.3 vs 3.8) and triglyceride (21.1 vs 6.5), 25.3% of the variability of insulin (33.3 vs 8.1), and 37.5% of the variability of leptin (37.7 vs 1.1) were explained by VAT. CONCLUSIONS BIA seems not to be a good tool to assess VAT. At the population level, waist circumference and body mass index seem to be good tools to estimate VAT. VAT measured by DXA is the parameter most correlated with cardiometabolic risk factors and could become a component of the cardiometabolic marker on its own.
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Affiliation(s)
- Elisabeth Stamm
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Elena Gonzalez Rodriguez
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
| | - Didier Hans
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Olivier Lamy
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland; and
- Bone Unit, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
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14
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Zheng C, Zheng X, Lin X, Ye J, Xu Z, Hu H, Wang W, Huang C, Tian J, Liu C. Visceral Adipose Tissue Indices Independently Correlated with Obstructive Sleep Apnea in Patients with Type 2 Diabetes. J Diabetes Res 2022; 2022:4950528. [PMID: 35187177 PMCID: PMC8853812 DOI: 10.1155/2022/4950528] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/19/2022] [Indexed: 11/18/2022] Open
Abstract
AIMS We aimed to explore whether visceral adiposity indices were significantly associated with obstructive sleep apnea (OSA) in type 2 diabetes (T2DM) patients. METHODS 100 patients with T2DM who underwent overnight polysomnography were analyzed in this study. Anthropometric data, lipid profiles, and glycemic parameters were recorded. Body fat percentage (BFP) and visceral adipose tissue area (VAT area) were collected from a whole body scan using dual-energy X-ray absorptiometry (DXA). Multivariate logistic regression analysis was performed to explore the associations of AHI with BFP, VAT area, and CVAI. RESULTS The prevalence rate of OSA was 80%, and the mean (±SD) of age was 47.0 ± 13.6 years. Apnea-hypopnea index (AHI) was significantly and positively associated with either VAT area (r = 0.433, p ≤ 0.001) or Chinese visceral adiposity index (CVAI) (r = 0.355, p ≤ 0.001) but not for BFP (r = 0.107, p = 0.294). Multivariate logistic regression analyses showed that VAT area and CVAI were significantly associated with increased risk of OSA, and the adjusted ORs were (95% CI) 1.025 (1.003-1.047, p = 0.023) and 1.018 (1.002-1.034, p = 0.030), respectively. However, there was no significant association between BFP and increased risk of OSA. CONCLUSIONS VAT area and CVAI were independent risk factors of OSA in the patients with T2DM.
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Affiliation(s)
- Caiyu Zheng
- Department of Endocrinology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian Province, China
- School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Xuanling Zheng
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Xiaoyan Lin
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Jiawen Ye
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Ziqing Xu
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Huixian Hu
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Wengui Wang
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Caoxin Huang
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, Fujian Province, China
- Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
| | - Jianqing Tian
- Department of Endocrinology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, Fujian Province, China
| | - Changqin Liu
- Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian Province, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, Fujian Province, China
- Fujian Province Key Laboratory of Diabetes Translational Medicine, Xiamen, Fujian Province, China
- Xiamen Diabetes Prevention and Control Center, Xiamen, Fujian Province, China
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15
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Letarouilly JG, Flipo RM, Cortet B, Tournadre A, Paccou J. Body composition in patients with rheumatoid arthritis: a narrative literature review. Ther Adv Musculoskelet Dis 2021; 13:1759720X211015006. [PMID: 34221129 PMCID: PMC8221676 DOI: 10.1177/1759720x211015006] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 04/13/2021] [Indexed: 01/09/2023] Open
Abstract
There is growing interest in the alterations in body composition (BC) that accompany rheumatoid arthritis (RA). The purpose of this review is to (i) investigate how BC is currently measured in RA patients, (ii) describe alterations in body composition in RA patients and (iii) evaluate the effect on nutrition, physical training, and treatments; that is, corticosteroids and biologic Disease Modifying Anti-Rheumatic Disease (bDMARDs), on BC in RA patients. The primary-source literature for this review was acquired using PubMed, Scopus and Cochrane database searches for articles published up to March 2021. The Medical Subject Headings (MeSH) terms used were 'Arthritis, Rheumatoid', 'body composition', 'sarcopenia', 'obesity', 'cachexia', 'Absorptiometry, Photon' and 'Electric Impedance'. The titles and abstracts of all articles were reviewed for relevant subjects. Whole-BC measurements were usually performed using dual energy x-ray absorptiometry (DXA) to quantify lean- and fat-mass parameters. In RA patients, lean mass is lower and adiposity is higher than in healthy controls, both in men and women. The prevalence of abnormal BC conditions such as overfat, sarcopenia and sarcopenic obesity is significantly higher in RA patients than in healthy controls; these alterations in BC are observed even at an early stage of the disease. Data on the effect treatments on BC in RA patients are scarce. In the few studies published, (a) creatine supplementation and progressive resistance training induce a slight and temporary increase in lean mass, (b) exposure to corticosteroids induces a gain in fat mass and (c) tumour necrosis factor alpha (TNFα) inhibitors might be associated with a gain in fat mass, while tocilizumab might be associated with a gain in lean mass. The available data clearly demonstrate that alterations in BC occur in RA patients, but data on the effect of treatments, especially bDMARDs, are inconsistent and further studies are needed in this area.
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Affiliation(s)
- Jean-Guillaume Letarouilly
- University of Lille F-59000 Lille, CHU Lille F-59000 Lille, France; University of Littoral Côte d'Opale F-62200 Boulogne-sur-Mer, France; Marrow Adiposity and Bone Lab - MABLab ULR4490Lille, France
| | - René-Marc Flipo
- Department of Rheumatology, University of Lille, CHU Lille, F-59000 Lille, France
| | - Bernard Cortet
- University of Lille F-59000 Lille, CHU Lille F-59000 Lille, France; University of Littoral Côte d'Opale F-62200 Boulogne-sur-Mer, France; Marrow Adiposity and Bone Lab - MABLab ULR4490Lille, France
| | - Anne Tournadre
- University of Clermont Auvergne, CHU Clermont-Ferrand, UNH-UMR 1019, INRA Department of Rheumatology, F-63003 Clermont-Ferrand, France
| | - Julien Paccou
- MABlab ULR 4490, Department of Rheumatology, CHU Lille, 2, Avenue Oscar Lambret - 59037 Lille Cedex
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