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Stenberg K, Novotny GW, Lutz TA, Mandrup-Poulsen T, Bjørnvad CR. Obesity-induced changes in gene expression in feline adipose and skeletal muscle tissue. J Anim Physiol Anim Nutr (Berl) 2023; 107:1262-1278. [PMID: 36591865 DOI: 10.1111/jpn.13802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 11/14/2022] [Accepted: 12/05/2022] [Indexed: 01/03/2023]
Abstract
Indoor-confined cats are prone to developing obesity due to a sedentary life and an energy intake exceeding energy requirements. As in humans, feline obesity decreases insulin sensitivity and increases the risk of developing feline diabetes mellitus, but the pathophysiological mechanisms are currently poorly understood. Human obesity-related metabolic alterations seem to relate to changes in the expression of genes involved in glucose metabolism, insulin action and inflammation. The objective of the current study was to investigate changes in the expression of genes relating to obesity, glucose metabolism and inflammation in cats with non-experimentally induced obesity. Biopsies from the sartorius muscle and subcutaneous adipose tissue were obtained from 73 healthy, neutered, indoor-confined domestic shorthaired cats ranging from lean to obese. Quantification of obesity-related gene expression levels relative to glyceraldehyde-3-phosphate dehydrogenase was performed by quantitative real-time polymerase chain reaction. A negative association between obesity and adiponectin expression was observed in the adipose tissue (mean ± SD; normal weight, 27.30 × 10-3 ± 77.14 × 10-3 ; overweight, 2.89 × 10-3 ± 0.38 × 10-3 and obese, 2.93 × 10-3 ± 4.20 × 10-3 , p < 0.05). In muscle, the expression of peroxisome proliferative activated receptor-γ2 and plasminogen activator inhibitor-1 was increased in the obese compared to the normal-weight cats, and resistin was increased in the normal-weight compared to the overweight cats. There were no detectable obesity-related changes in the messenger RNA levels of inflammatory cytokines. In conclusion, a possible obesity-related low-grade inflammation caused by increased expression of key proinflammatory regulators was not observed. This could imply that the development of feline obesity and ensuing insulin resistance may not be based on tissue-derived inflammation, but caused by several determining factors, many of which still need further investigation.
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Affiliation(s)
- Kathrine Stenberg
- Department of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Guy W Novotny
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
- Departments of Hematology/Pathology, Herlev Hospital, Herlev, Denmark
| | - Thomas A Lutz
- Institute of Veterinary Physiology, Vetsuisse-Faculty University of Zurich, Zurich, Switzerland
| | | | - Charlotte Reinhard Bjørnvad
- Department of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
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Metabolic Score for Visceral Fat: a novel predictor for the risk of type 2 diabetes mellitus. Br J Nutr 2022; 128:1029-1036. [PMID: 34632975 DOI: 10.1017/s0007114521004116] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
To investigate the association between the Metabolic Score for Visceral Fat (METS-VF) and risk of type 2 diabetes mellitus (T2DM) and compare the predictive value of the METS-VF for T2DM incidence with other obesity indices in Chinese people. A total of 12 237 non-T2DM participants aged over 18 years from the Rural Chinese Cohort Study of 2007-2008 were included at baseline and followed up during 2013-2014. The cox proportional hazards regression was used to calculate hazard ratios (HR) and 95 % CI for the association between baseline METS-VF and T2DM risk. Restricted cubic splines were used to model the association between METS-VF and T2DM risk. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the ability of METS-VF to predict T2DM incidence. During a median follow-up of 6·01 (95 % CI 5·09, 6·06) years, 837 cases developed T2DM. After adjusting for potential confounding factors, the adjusted HR for the highest v. lowest METS-VF quartile was 5·97 (95 % CI 4·28, 8·32), with a per 1-sd increase in METS-VF positively associated with T2DM risk. Positive associations were also found in the sensitivity and subgroup analyses, respectively. A significant nonlinear dose-response association was observed between METS-VF and T2DM risk for all participants (Pnonlinearity = 0·0347). Finally, the AUC value of METS-VF for predicting T2DM was largest among six indices. The METS-VF may be a reliable and applicable predictor of T2DM incidence in Chinese people regardless of sex, age or BMI.
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Nunes HEG, Faria EA, Martinez PF, Oliveira-Júnior SAD. Cardiovascular health indicators in soccer exercise during adolescence: systematic review. Int J Adolesc Med Health 2021; 33:53-63. [PMID: 33823092 DOI: 10.1515/ijamh-2020-0301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 03/07/2021] [Indexed: 11/15/2022]
Abstract
This review analyzed the studies that evaluated cardiovascular health indicators (blood pressure, waist circumference, heart rate, glucose index and lipid blood) in recreational soccer players during adolescence, and identify possible associated factors. The search was performed in the electronic databases (PubMED, SciELO, LILACS, Scopus, SPORTDiscus and Web of Science). Inclusion criteria were: population composed of children and/or adolescents (10-19 years or average age up to 19 years); studies adolescents engaged in recreational soccer regularly and observational studies with cross-sectional or longitudinal design. The process of analysis of studies involved reading titles, abstracts and full texts. After these phases, seven articles were eligible. Regarding the design, all studies were cross-sectional. Of the total studies included, five presented moderate methodological quality values and two presented low methodological quality values, according to National Heart, Lung, and Blood Institute instrument. The most cardiovascular health indicators used in recreational soccer players during adolescence was waist circumference; three studies analyzed heart rate, two evaluated blood pressure, one analyzed insulin resistance and none of the included studies analyzed lipid profile. Factors associated were analyzed in four studies, being that sedentary time and body mass index (BMI) present association with at least one indicator of cardiovascular health.
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Affiliation(s)
- Heloyse Elaine Gimenes Nunes
- Laboratory of Striated Muscle Study (LEME/INISA), Federal University of Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
| | - Evelinn Amarilha Faria
- Laboratory of Striated Muscle Study (LEME/INISA), Federal University of Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
| | - Paula Felippe Martinez
- Laboratory of Striated Muscle Study (LEME/INISA), Federal University of Mato Grosso do Sul (UFMS), Campo Grande, MS, Brazil
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Cardiovascular benefits of sodium-glucose cotransporter 2 inhibitors in diabetic and nondiabetic patients. Cardiovasc Diabetol 2021; 20:78. [PMID: 33827579 PMCID: PMC8028072 DOI: 10.1186/s12933-021-01266-x] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 03/19/2021] [Indexed: 12/25/2022] Open
Abstract
Sodium-glucose cotransporter 2 inhibitors (SGLT2i) were developed as antidiabetic agents, but accumulating evidence has shown their beneficial effects on the cardiovascular system. Analyses of the EMPA-REG OUTCOME trial (Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients) suggested that these benefits are independent of glycemic control. Several large-scale outcome trials of SGLT2i also showed cardiovascular benefits in nondiabetic patients, strengthening this perspective. Extensive animal and clinical studies have likewise shown that mechanisms other than the antihyperglycemic effect underlie the cardiovascular benefits. Recent clinical guidelines recommend the use of SGLT2i in patients with type 2 diabetes mellitus and cardiovascular diseases because of the proven cardiovascular protective effects. Since the cardiovascular benefits are independent of glycemic control, the therapeutic spectrum of SGLT2i will likely be extended to nondiabetic patients.
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Bouchi R, Sonoda N, Itoh J, Ono Y, Fukuda T, Takeuchi T, Kishimoto J, Yamada T, Ogawa Y. Effects of intensive exercise combined with dapagliflozin on body composition in patients with type 2 diabetes: a randomized controlled trial. Endocr J 2021; 68:329-343. [PMID: 33390421 DOI: 10.1507/endocrj.ej20-0599] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
This study was aimed to evaluate the effects of intensive exercise in addition to the administration of sodium-glucose cotransporter 2 inhibitor dapagliflozin (DAPA) on body composition, including fat-free mass, in type 2 diabetes. We randomly assigned 146 patients to 24 weeks of treatment with intensive exercise, including resistance training, plus 5 mg (up to 10 mg) of DAPA daily (IT group) or DAPA alone (CT group). The primary endpoint was the difference in the change in fat-free mass from baseline to 24 weeks between the groups. The skeletal muscle mass index (SMI); metabolic profile, including HbA1c; and regional fat mass were also determined. ANCOVA was used for the group comparison, with least squares mean (LSM) differences and 95% confidence interval (CI). There was no significant difference in the change in fat-free mass (LSM difference -0.1 kg (95% CI: -0.5 to 0.4) and SMI (LSM difference -0.1 kg (95% CI: -0.2 to 0.1) between the groups. In contrast, the reduction of trunk fat mass was significantly higher in the IT group than in the CT group ((LSM difference -0.5 kg [95% CI -0.9 to -0.1]). Higher adherence to the resistance training tended to be associated with changes in HbA1c and high-sensitivity CRP levels. Our study suggests that intensive exercise do not prevent the reduction of fat-free mass after administration of SGLT2 inhibitors but can increase the reduction in abdominal fat, presumably leading to further improvements of hyperglycemia and chronic inflammation than DAPA alone in type 2 diabetes patients.
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Affiliation(s)
- Ryotaro Bouchi
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine, Tokyo, Japan
- Diabetes and Metabolism Information Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Noriyuki Sonoda
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Itoh
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuhiro Ono
- Department of Internal Medicine, Takagi Hospital, Fukuoka, Japan
| | - Tatsuya Fukuda
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takato Takeuchi
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Junji Kishimoto
- ARO Advanced Medical Center, Kyushu University Hospital, Fukuoka, Japan
| | - Tetsuya Yamada
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshihiro Ogawa
- Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Molecular and Cellular Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
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Han M, Qin P, Li Q, Qie R, Liu L, Zhao Y, Liu D, Zhang D, Guo C, Zhou Q, Tian G, Huang S, Wu X, Li Y, Yang X, Zhao Y, Feng Y, Liu Y, Li H, Sun X, Chen Q, Wang T, Chen X, Hu D, Zhang M. Chinese visceral adiposity index: A reliable indicator of visceral fat function associated with risk of type 2 diabetes. Diabetes Metab Res Rev 2021; 37:e3370. [PMID: 32562335 DOI: 10.1002/dmrr.3370] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/19/2020] [Accepted: 06/08/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The evidence of the association between Chinese visceral adiposity index (CVAI) and risk of type 2 diabetes mellitus (T2DM) is limited. We explored the association of CVAI with T2DM and directly compared with the predictive power of CVAI with other visceral obesity indices (visceral adiposity index, waist to height ratio, waist circumference and body mass index) based on a large prospective study. METHODS We conducted a population-based study of 12 237 Chinese participants. Cox proportional-hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between CVAI and T2DM. RESULTS During follow-up (median: 6.01 years), the incidence of T2DM was 3.29, 7.34, 12.37 and 23.72 per 1000 person-years for quartiles 1, 2, 3 and 4 of CVAI, respectively. The risk of T2DM was increased with quartiles 2, 3 and 4 vs quartile 1 of CVAI (HR 2.12 [95% CI 1.50-3.00], 2.94 [2.10-4.13] and 5.01 [3.57-7.04], Ptrend < 0.001). Per-SD increase in CVAI was associated with a 72% increased risk of T2DM (HR 1.72 [95% CI 1.56-1.88]). Sensitivity analyses did not alter the association. The area under receiver operating characteristic curve was significantly higher for CVAI than other visceral obesity indices (all P <.001). Similar results were observed in stratified analyses by sex. CONCLUSIONS Our findings show a positive association between CVAI and risk of T2DM. CVAI has the best performance in predicting incident T2DM, so the index might be a reliable and applicable indicator identifying people at high risk of T2DM.
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Affiliation(s)
- Minghui Han
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Pei Qin
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
- Community Health Management Center, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, PR China
| | - Ranran Qie
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Leilei Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yang Zhao
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Dechen Liu
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Dongdong Zhang
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Qionggui Zhou
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaoyan Wu
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Yang Li
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yu Liu
- Community Health Management Center, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Honghui Li
- Community Health Management Center, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Xizhuo Sun
- Community Health Management Center, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
| | - Qing Chen
- Department of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, PR China
| | - Tieqiang Wang
- Key Lab of Epidemiology, Department of Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, PR China
| | - Xiaoliang Chen
- Key Lab of Epidemiology, Department of Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, PR China
| | - Dongsheng Hu
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
- Community Health Management Center, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
- Department of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, PR China
- Key Lab of Epidemiology, Department of Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, PR China
| | - Ming Zhang
- Department of Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China
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Zhang X, Ding Y, Shao Y, He J, Ma J, Guo H, Keerman M, Liu J, Si H, Guo S, Ma R. Visceral Obesity-Related Indices in the Identification of Individuals with Metabolic Syndrome Among Different Ethnicities in Xinjiang, China. Diabetes Metab Syndr Obes 2021; 14:1609-1620. [PMID: 33889002 PMCID: PMC8055644 DOI: 10.2147/dmso.s306908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/20/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Few studies have focused on the predictive ability of visceral obesity-related indices for metabolic syndrome (MetS), especially in different ethnic groups. This study aimed to evaluate the applicability of visceral obesity-related indices for MetS screening among three major ethnic groups living in remote rural areas of Xinjiang. METHODS Based on multistage stratified cluster random sampling method, 3,192 Uyghurs, 3,054 Kazakhs, and 3,658 Hans were recruited from Xinjiang, China. The Joint Interim Statement (JIS) criteria were used to define MetS. The receiver operating characteristic curve (ROC), area under the ROC curve (AUC), and predictive value of each visceral obesity-related index were used to evaluate the predictive ability of MetS. RESULTS After adjusting for potential confounding factors, the lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), waist-to-height ratio (WHtR), and atherogenic index of plasma (AIP) were significantly correlated with MetS for each ethnic group, and the odds ratios (ORs) for MetS increased across quartiles. LAP was best able to identify MetS status in Kazakhs (AUC=0.853) and Uyghurs (AUC=0.851), with optimal cut-offs being 36.3 and 28.2, respectively. Both LAP (AUC=0.798) and CVAI (AUC=0.791) most accurately identified MetS status in Hans, with the optimal cut-offs being 27.3 and 85.0, respectively. Moreover, the AUC of the combination of these visceral obesity-related indices is higher for each ethnic group. However, compared with LAP, the improved value of combined screening was not significant. CONCLUSION LAP had the best discriminative capability for the screening of MetS among Kazakhs, Uyghurs, and Hans. The screening ability of CVAI for MetS was similar to that of LAP in Hans. Thus, LAP may be a complementary indicator for assessing MetS in various ethnic groups.
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Affiliation(s)
- Xianghui Zhang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Yusong Ding
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Yinbao Shao
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Jiaolong Ma
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Mulatibieke Keerman
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Jiaming Liu
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
| | - Huili Si
- Department of Neurology, Shihezi People’s Hospital, Shihezi, Xinjiang, People’s Republic of China
| | - Shuxia Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
- Department of Pathology and Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
- Correspondence: Shuxia Guo Department of Public Health, Shihezi University School of Medicine, Suite 721, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1800-9932-625Fax +86 993-2057-153 Email
| | - Rulin Ma
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, People’s Republic of China
- Rulin Ma Department of Public Health, Shihezi University School of Medicine, Suite 816, Building No. 1, Beier Road, Shihezi, 832000, Xinjiang, People’s Republic of ChinaTel +86 1330-9930-561Fax +86 993-2057-153Email
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21st Century Advances in Multimodality Imaging of Obesity for Care of the Cardiovascular Patient. JACC Cardiovasc Imaging 2020; 14:482-494. [PMID: 32305476 DOI: 10.1016/j.jcmg.2020.02.031] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 12/19/2022]
Abstract
Although obesity is typically defined by body mass index criteria, this does not differentiate true body fatness, as this includes both body fat and muscle. Therefore, other fat depots may better define cardiometabolic and cardiovascular disease (CVD) risk imposed by obesity. Data from translational, epidemiological, and clinical studies over the past 3 decades have clearly demonstrated that accumulation of adiposity in the abdominal viscera and within tissue depots lacking physiological adipose tissue storage capacity (termed "ectopic fat") is strongly associated with the development of a clinical syndrome characterized by atherogenic dyslipidemia, hyperinsulinemia/glucose intolerance/type 2 diabetes mellitus, hypertension, atherosclerosis, and abnormal cardiac remodeling and heart failure. This state-of-the-art paper discusses the impact of various body fat depots on cardiometabolic parameters and CVD risk. Specifically, it reviews novel and emerging imaging techniques to evaluate adiposity and the risk of cardiometabolic diseases and CVD.
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Neeland IJ, Ross R, Després JP, Matsuzawa Y, Yamashita S, Shai I, Seidell J, Magni P, Santos RD, Arsenault B, Cuevas A, Hu FB, Griffin B, Zambon A, Barter P, Fruchart JC, Eckel RH. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endocrinol 2019; 7:715-725. [PMID: 31301983 DOI: 10.1016/s2213-8587(19)30084-1] [Citation(s) in RCA: 644] [Impact Index Per Article: 128.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 12/24/2018] [Accepted: 01/11/2019] [Indexed: 02/06/2023]
Abstract
Findings from epidemiological studies over the past 30 years have shown that visceral adipose tissue, accurately measured by CT or MRI, is an independent risk marker of cardiovascular and metabolic morbidity and mortality. Emerging evidence also suggests that ectopic fat deposition, including hepatic and epicardial fat, might contribute to increased atherosclerosis and cardiometabolic risk. This joint position statement from the International Atherosclerosis Society and the International Chair on Cardiometabolic Risk Working Group on Visceral Obesity summarises the evidence for visceral adiposity and ectopic fat as emerging risk factors for type 2 diabetes, atherosclerosis, and cardiovascular disease, with a focus on practical recommendations for health professionals and future directions for research and clinical practice. We discuss the measurement of visceral and ectopic fat, pathophysiology and contribution to adverse health outcomes, response to treatment, and lessons from a public health programme targeting visceral and ectopic fat. We identify knowledge gaps and note the need to develop simple, clinically applicable tools to be able to monitor changes in visceral and ectopic fat over time. Finally, we recognise the need for public health messaging to focus on visceral and ectopic fat in addition to excess bodyweight to better combat the growing epidemic of obesity worldwide.
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Affiliation(s)
- Ian J Neeland
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Robert Ross
- School of Medicine, Division of Endocrinology and Metabolism, Queen's University, Kingston, ON, Canada
| | - Jean-Pierre Després
- Quebec Heart and Lung Institute Research Centre, Quebec City, QC, Canada; Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec City, QC, Canada.
| | - Yuji Matsuzawa
- Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan
| | - Shizuya Yamashita
- Departments of Cardiovascular Medicine and Community Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Iris Shai
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Jaap Seidell
- Department of Health Sciences and the EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, Netherlands
| | - Paolo Magni
- Department of Pharmacological and Biomolecular Sciences, Universita' degli Studi di Milano, Milan, Italy
| | - Raul D Santos
- Lipid Clinic Heart Institute, University of São Paulo, Medical School Hospital and Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Benoit Arsenault
- Quebec Heart and Lung Institute Research Centre, Quebec City, QC, Canada; Department of Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Ada Cuevas
- Department of Clinical Nutrition and Metabolism, Clínica Las Condes, Santiago, Chile
| | - Frank B Hu
- Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Bruce Griffin
- Department of Nutritional Sciences, University of Surrey, Guildford, UK
| | - Alberto Zambon
- Department of Medicine, University of Padua, Padova, Italy
| | - Philip Barter
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | | | - Robert H Eckel
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
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Madsen KS, Kähler P, Kähler LKA, Madsbad S, Gnesin F, Metzendorf M, Richter B, Hemmingsen B. Metformin and second- or third-generation sulphonylurea combination therapy for adults with type 2 diabetes mellitus. Cochrane Database Syst Rev 2019; 4:CD012368. [PMID: 30998259 PMCID: PMC6472662 DOI: 10.1002/14651858.cd012368.pub2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The number of people with type 2 diabetes mellitus (T2DM) is increasing worldwide. The combination of metformin and sulphonylurea (M+S) is a widely used treatment. Whether M+S shows better or worse effects in comparison with other antidiabetic medications for people with T2DM is still controversial. OBJECTIVES To assess the effects of metformin and sulphonylurea (second- or third-generation) combination therapy for adults with type 2 diabetes mellitus. SEARCH METHODS We updated the search of a recent systematic review from the Agency for Healthcare Research and Quality (AHRQ). The updated search included CENTRAL, MEDLINE, Embase, ClinicalTrials.gov and WHO ICTRP. The date of the last search was March 2018. We searched manufacturers' websites and reference lists of included trials, systematic reviews, meta-analyses and health technology assessment reports. We asked investigators of the included trials for information about additional trials. SELECTION CRITERIA We included randomised controlled trials (RCTs) randomising participants 18 years old or more with T2DM to M+S compared with metformin plus another glucose-lowering intervention or metformin monotherapy with a treatment duration of 52 weeks or more. DATA COLLECTION AND ANALYSIS Two review authors read all abstracts and full-text articles and records, assessed risk of bias and extracted outcome data independently. We used a random-effects model to perform meta-analysis, and calculated risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, using 95% confidence intervals (CIs) for effect estimates. We assessed the certainty of the evidence using the GRADE instrument. MAIN RESULTS We included 32 RCTs randomising 28,746 people. Treatment duration ranged between one to four years. We judged none of these trials as low risk of bias for all 'Risk of bias' domains. Most important events per person were all-cause and cardiovascular mortality, serious adverse events (SAE), non-fatal stroke (NFS), non-fatal myocardial infarction (MI) and microvascular complications. Most important comparisons were as follows:Five trials compared M+S (N = 1194) with metformin plus a glucagon-like peptide 1 analogue (N = 1675): all-cause mortality was 11/1057 (1%) versus 11/1537 (0.7%), risk ratio (RR) 1.15 (95% confidence interval (CI) 0.49 to 2.67); 3 trials; 2594 participants; low-certainty evidence; cardiovascular mortality 1/307 (0.3%) versus 1/302 (0.3%), low-certainty evidence; serious adverse events (SAE) 128/1057 (12.1%) versus 194/1537 (12.6%), RR 0.90 (95% CI 0.73 to 1.11); 3 trials; 2594 participants; very low-certainty evidence; non-fatal myocardial infarction (MI) 2/549 (0.4%) versus 6/1026 (0.6%), RR 0.57 (95% CI 0.12 to 2.82); 2 trials; 1575 participants; very low-certainty evidence.Nine trials compared M+S (N = 5414) with metformin plus a dipeptidyl-peptidase 4 inhibitor (N = 6346): all-cause mortality was 33/5387 (0.6%) versus 26/6307 (0.4%), RR 1.32 (95% CI 0.76 to 2.28); 9 trials; 11,694 participants; low-certainty evidence; cardiovascular mortality 11/2989 (0.4%) versus 9/3885 (0.2%), RR 1.54 (95% CI 0.63 to 3.79); 6 trials; 6874 participants; low-certainty evidence; SAE 735/5387 (13.6%) versus 779/6307 (12.4%), RR 1.07 (95% CI 0.97 to 1.18); 9 trials; 11,694 participants; very low-certainty evidence; NFS 14/2098 (0.7%) versus 8/2995 (0.3%), RR 2.21 (95% CI 0.74 to 6.58); 4 trials; 5093 participants; very low-certainty evidence; non-fatal MI 15/2989 (0.5%) versus 13/3885 (0.3%), RR 1.45 (95% CI 0.69 to 3.07); 6 trials; 6874 participants; very low-certainty evidence; one trial in 64 participants reported no microvascular complications were observed (very low-certainty evidence).Eleven trials compared M+S (N = 3626) with metformin plus a thiazolidinedione (N = 3685): all-cause mortality was 123/3300 (3.7%) versus 114/3354 (3.4%), RR 1.09 (95% CI 0.85 to 1.40); 6 trials; 6654 participants; low-certainty evidence; cardiovascular mortality 37/2946 (1.3%) versus 41/2994 (1.4%), RR 0.78 (95% CI 0.36 to 1.67); 4 trials; 5940 participants; low-certainty evidence; SAE 666/3300 (20.2%) versus 671/3354 (20%), RR 1.01 (95% CI 0.93 to 1.11); 6 trials; 6654 participants; very low-certainty evidence; NFS 20/1540 (1.3%) versus 16/1583 (1%), RR 1.29 (95% CI 0.67 to 2.47); P = 0.45; 2 trials; 3123 participants; very low-certainty evidence; non-fatal MI 25/1841 (1.4%) versus 21/1877 (1.1%), RR 1.21 (95% CI 0.68 to 2.14); P = 0.51; 3 trials; 3718 participants; very low-certainty evidence; three trials (3123 participants) reported no microvascular complications (very low-certainty evidence).Three trials compared M+S (N = 462) with metformin plus a glinide (N = 476): one person died in each intervention group (3 trials; 874 participants; low-certainty evidence); no cardiovascular mortality (2 trials; 446 participants; low-certainty evidence); SAE 34/424 (8%) versus 27/450 (6%), RR 1.68 (95% CI 0.54 to 5.21); P = 0.37; 3 trials; 874 participants; low-certainty evidence; no NFS (1 trial; 233 participants; very low-certainty evidence); non-fatal MI 2/215 (0.9%) participants in the M+S group; 2 trials; 446 participants; low-certainty evidence; no microvascular complications (1 trial; 233 participants; low-certainty evidence).Four trials compared M+S (N = 2109) with metformin plus a sodium-glucose co-transporter 2 inhibitor (N = 3032): all-cause mortality was 13/2107 (0.6%) versus 19/3027 (0.6%), RR 0.96 (95% CI 0.44 to 2.09); 4 trials; 5134 participants; very low-certainty evidence; cardiovascular mortality 4/1327 (0.3%) versus 6/2262 (0.3%), RR 1.22 (95% CI 0.33 to 4.41); 3 trials; 3589 participants; very low-certainty evidence; SAE 315/2107 (15.5%) versus 375/3027 (12.4%), RR 1.02 (95% CI 0.76 to 1.37); 4 trials; 5134 participants; very low-certainty evidence; NFS 3/919 (0.3%) versus 7/1856 (0.4%), RR 0.87 (95% CI 0.22 to 3.34); 2 trials; 2775 participants; very low-certainty evidence; non-fatal MI 7/890 (0.8%) versus 8/1374 (0.6%), RR 1.43 (95% CI 0.49 to 4.18; 2 trials); 2264 participants; very low-certainty evidence; amputation of lower extremity 1/437 (0.2%) versus 1/888 (0.1%); very low-certainty evidence.Trials reported more hypoglycaemic episodes with M+S combination compared to all other metformin-antidiabetic agent combinations. Results for M+S versus metformin monotherapy were inconclusive. There were no RCTs comparing M+S with metformin plus insulin. We identified nine ongoing trials and two trials are awaiting assessment. Together these trials will include approximately 16,631 participants. AUTHORS' CONCLUSIONS There is inconclusive evidence whether M+S combination therapy compared with metformin plus another glucose-lowering intervention results in benefit or harm for most patient-important outcomes (mortality, SAEs, macrovascular and microvascular complications) with the exception of hypoglycaemia (more harm for M+S combination). No RCT reported on health-related quality of life.
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Affiliation(s)
- Kasper S Madsen
- University of CopenhagenFaculty of Health and Medical SciencesBlegdamsvej 3BCopenhagen NDenmark2200
| | - Pernille Kähler
- Faculty of Health and Medical SciencesCopenhagen Medical UniversityBlegdamsvej 3CopenhagenDenmark2100Ø
| | | | - Sten Madsbad
- Hvidovre Hospital, University of CopenhagenDepartment of EndocrinologyHvidovreDenmark
| | - Filip Gnesin
- Department 7652, RigshospitaletDepartment of Endocrinology, Diabetes and MetabolismBlegdamsvej 9CopenhagenDenmarkDK‐2100
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
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11
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Schork A, Saynisch J, Vosseler A, Jaghutriz BA, Heyne N, Peter A, Häring HU, Stefan N, Fritsche A, Artunc F. Effect of SGLT2 inhibitors on body composition, fluid status and renin-angiotensin-aldosterone system in type 2 diabetes: a prospective study using bioimpedance spectroscopy. Cardiovasc Diabetol 2019; 18:46. [PMID: 30953516 PMCID: PMC6451223 DOI: 10.1186/s12933-019-0852-y] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 03/29/2019] [Indexed: 12/25/2022] Open
Abstract
Background SGLT2-inhibitors are potent antihyperglycemic drugs for patients with type 2 diabetes and have been shown to reduce body weight. However, it is unclear which body compartments are reduced and to what extent. Methods In this longitudinal observational study, we analyzed the body composition of 27 outpatients with type 2 diabetes mellitus during the first week and up to 6 months after initiation of treatment with SGLT2-inhibitors (n = 18 empagliflozin, n = 9 dapagliflozin) using bioimpedance spectroscopy (BCM, Fresenius). Fluid status of hypertensive patients taking medication with hydrochlorothiazide (n = 14) and healthy persons (n = 16) were analyzed for comparison. Results At 6 months, HbA1c decreased by 0.8% (IQR 2.3; 0.4), body weight and BMI by 2.6 kg (1.5; 9.3) and 0.9 kg/m2 (0.4; 3.3), respectively. Bioimpedance spectroscopy revealed significant decrease in adipose tissue mass and fat tissue index while lean tissue parameters remained stable. Overhydration (OH) and extracellular water (ECW) decreased by − 0.5 L/1.73 m2 (− 0.1; − 0.9) and − 0.4 L/1.73 m2 (− 0.1; − 0.8) at day 3, respectively, and returned to the initial value after 3 and 6 months. Plasma renin activity increased by 2.1-fold (0.5; 3.6) at 1 month and returned to the initial level at month 3 and 6. Fluid status of patients with SGLT2 inhibitors after 6 months showed no difference from that of hypertensive patients taking hydrochlorothiazide or healthy persons. Conclusions Body weight reduction under the treatment with SGLT2-inhibitors is caused by reduction of adipose tissue mass and transient loss of extracellular fluid, which is accompanied by upregulation of renin–angiotensin–aldosterone system (RAAS). Permanent loss of extracellular water does not occur under SGLT2 inhibition. Electronic supplementary material The online version of this article (10.1186/s12933-019-0852-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anja Schork
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany. .,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany. .,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.
| | - Janine Saynisch
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany
| | - Andreas Vosseler
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Benjamin Assad Jaghutriz
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Nils Heyne
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Andreas Peter
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Hans-Ulrich Häring
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Norbert Stefan
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Andreas Fritsche
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
| | - Ferruh Artunc
- Department of Internal Medicine IV, Division of Endocrinology, Diabetology, Vascular Disease, Nephrology and Clinical Chemistry, University Hospital Tübingen, Otfried-Müller-Str.10, 72076, Tübingen, Germany.,Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076, Tübingen, Germany.,German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076, Tübingen, Germany
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12
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Ofstad AP, Sommer C, Birkeland KI, Bjørgaas MR, Gran JM, Gulseth HL, Johansen OE. Comparison of the associations between non-traditional and traditional indices of adiposity and cardiovascular mortality: an observational study of one million person-years of follow-up. Int J Obes (Lond) 2019; 43:1082-1092. [PMID: 30926954 PMCID: PMC6760583 DOI: 10.1038/s41366-019-0353-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 09/02/2018] [Accepted: 01/30/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVE The most widely used adiposity index, body mass index (BMI), is not optimal to evaluate cardiovascular (CV) risk associated with overweight and obesity. We aimed to explore the association between traditional and non-traditional adiposity indices and CV mortality, and compare their discriminative ability for CV death. METHODS We studied participants (age 19-79 years, BMI ≥18.5 kg/m2) from the population-based Norwegian Nord-Trøndelag Health Study 2 (HUNT 2). Traditional indices explored were BMI, waist circumference (WC) and waist- to-hip ratio, whereas non-traditional were estimated total body fat (eTBF), which is a sex-specific fat%-index, index of central obesity (WC/height) and a body shape index (ABSI) [WC/(BMI2/3 × √height)]. Associations between the traditional and non-traditional indices and CV death, obtained from the Norwegian Cause of Death Registry, were explored by Cox proportional hazard regression, and the indices' discriminative ability by Harrell's C statistics. RESULTS Baseline assessments were done from 1995 to 1997 and the population (n = 61,016, 52% women) was observed for 17.7 ± 4.2 years (until 2016), yielding 1,080,473.6 person-years of follow-up. Thirteen thousand one hundred and ninety five (21.6%) subjects died, of whom 4908 (37.2%) died from CV causes. Across genders, eTBF had the strongest association to CV death (unadjusted hazard ratios [HRs] 4th vs. 1st quartile in women and men 13.38 [95% confidence interval (CI): 11.05-16.22] and 9.32 [8.03-10.81], respectively), together with index of central obesity in women and ABSI in men. The other indices showed weaker associations, in particular BMI in men: 1.73 [1.56-1.93]. Age adjustment attenuated the associations, but the pattern remained. In concordance with this, C-statistics was C = 0.725 [0.713-0.737] in women and 0.711 [0.701-0.721] in men for eTBF, and C = 0.622 [0.610-0.634] in women and 0.551 [0.541-0.562] in men for BMI. CONCLUSION eTBF, a sex-specific total body fat index, was more strongly associated with CV death than other adiposity indices and may be a suitable clinical tool for assessment of obesity-associated CV risk.
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Affiliation(s)
- Anne Pernille Ofstad
- Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway. .,Medical Department, Boehringer Ingelheim Norway, Asker, Norway.
| | - Christine Sommer
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Kåre I Birkeland
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marit Rokne Bjørgaas
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Endocrinology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Jon Michael Gran
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Hanne Løvdal Gulseth
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Odd Erik Johansen
- Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway.,Medical Department, Boehringer Ingelheim Norway, Asker, Norway
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13
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Ping Z, Pei X, Xia P, Chen Y, Guo R, Hu C, Imam MU, Chen Y, Sun P, Liu L. Anthropometric indices as surrogates for estimating abdominal visceral and subcutaneous adipose tissue: A meta-analysis with 16,129 participants. Diabetes Res Clin Pract 2018; 143:310-319. [PMID: 30086371 DOI: 10.1016/j.diabres.2018.08.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 07/19/2018] [Accepted: 08/01/2018] [Indexed: 01/01/2023]
Abstract
AIM To seek anthropometric indices that estimate visceral and subcutaneous adipose tissue (VAT and SAT) by meta-analysis and comparing the predictive efficacy based on different characteristics of participants. METHODS PubMed, PubMed Central, Web of Science, China National Knowledge Infrastructure and Wanfang databases were searched for publications containing correlation coefficients of VAT and/or SAT with waist circumference (WC) and/or body mass index (BMI). The overall or subgroup pooled results were analyzed by meta and metafor packages of R with random effects model. MedCalc software was used to compare the correlation coefficients between groups. RESULTS Twenty-nine publications were included in this meta-analysis. The correlation coefficients of VAT-WC, VAT-BMI, SAT-WC and SAT-BMI for total studies were between 0.640 and 0.785. The correlation of VAT with WC was larger than that with BMI (Z = 11.664, P < 0.001). Meanwhile, the correlation coefficients of VAT-WC were statistically different among different age groups, areas, ethnicities, body shapes, scanning levels, units and instruments of measuring VAT (P < 0.05). The overall correlation of SAT with BMI was larger than that with WC (Z = 3.805, P < 0.001). The subgroups' correlation coefficients of SAT-BMI showed statistical differences between genders, age groups, areas, ethnicities, body shapes, scanning levels, units (cm2 and cm3) and instruments of measuring SAT (P < 0.05). CONCLUSIONS WC may be a common and simple surrogate for estimating VAT, and BMI for SAT, especially in Europeans, but not in the aged people.
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Affiliation(s)
- Zhiguang Ping
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Xiaoting Pei
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Peige Xia
- Department of Clinical Medicine, Zhengzhou University, Zhengzhou 450001, China
| | - Yuansi Chen
- Department of Clinical Medicine, Zhengzhou University, Zhengzhou 450001, China
| | - Rui Guo
- The Nursing College of Zhengzhou University, Zhengzhou 450001, China
| | - Chenxi Hu
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Mustapha Umar Imam
- Department of Medical Biochemistry, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodio University, Sokoto, Nigeria
| | - Yanzi Chen
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Panpan Sun
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Li Liu
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
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14
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Wilner B, Garg S, Ayers CR, Maroules CD, McColl R, Matulevicius SA, de Lemos JA, Drazner MH, Peshock R, Neeland IJ. Dynamic Relation of Changes in Weight and Indices of Fat Distribution With Cardiac Structure and Function: The Dallas Heart Study. J Am Heart Assoc 2017; 6:JAHA.117.005897. [PMID: 28724650 PMCID: PMC5586303 DOI: 10.1161/jaha.117.005897] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Obesity may increase heart failure risk through cardiac remodeling. Cross-sectional associations between adiposity and cardiac structure and function have been elucidated, but the impact of longitudinal changes in adiposity on cardiac remodeling is less well understood. METHODS AND RESULTS Participants in the Dallas Heart Study without cardiovascular disease or left ventricular dysfunction underwent assessment of body weight, anthropometrics, and cardiac magnetic resonance imaging at baseline and 7 years later. Associations between changes in indices of generalized and central adiposity with changes in left ventricular mass, volume, mass/volume ratio (concentricity), wall thickness, and ejection fraction were assessed using multivariable linear regression. The study cohort (n=1262) mean age was 44 years with 57% women, 44% black, and 36% obese participants. At follow-up, 41% had ≥5% weight gain, and 15% had ≥5% weight loss. Greater weight gain was associated with younger age, lower risk factor burden, and lower body mass index at baseline. In multivariable models adjusting for age, sex, race, comorbid conditions at baseline and follow-up, baseline adiposity, and cardiac measurement, increasing weight was associated with increases in left ventricular mass (β=0.10, P<0.0001), wall thickness (β=0.10, P<0.0001), and concentricity (β=0.06, P=0.002), with modest effects on end-diastolic volume (β=0.04, P=0.044) and ejection fraction (β=0.05, P=0.046). Similar results were seen with other adiposity indices. CONCLUSIONS Concentric left ventricular remodeling is the predominant phenotype linked to increasing adiposity in middle age. Our findings support the importance of weight management to prevent secular changes in adiposity, concentric remodeling, and eventual heart failure over time.
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Affiliation(s)
- Bryan Wilner
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Sonia Garg
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Colby R Ayers
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Roderick McColl
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Susan A Matulevicius
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - James A de Lemos
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Mark H Drazner
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ronald Peshock
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX.,Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ian J Neeland
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
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15
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Sodium-Glucose Cotransporter 2 Inhibition and Cardiovascular Risk. CURRENT CARDIOVASCULAR RISK REPORTS 2016. [DOI: 10.1007/s12170-016-0503-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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16
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Neeland IJ, McGuire DK, Chilton R, Crowe S, Lund SS, Woerle HJ, Broedl UC, Johansen OE. Empagliflozin reduces body weight and indices of adipose distribution in patients with type 2 diabetes mellitus. Diab Vasc Dis Res 2016; 13:119-26. [PMID: 26873905 PMCID: PMC4768401 DOI: 10.1177/1479164115616901] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
AIMS To determine the effects of empagliflozin on adiposity indices among patients with type 2 diabetes mellitus. METHODS Changes in weight, waist circumference, estimated total body fat, index of central obesity and visceral adiposity index were assessed using analysis of covariance and testing of treatment by strata for age, sex and baseline waist circumference in patients with type 2 diabetes mellitus randomized to blinded treatment with empagliflozin versus placebo in clinical trials of 12 weeks (cohort 1) or 24 weeks (cohort 2) duration. RESULTS This study comprised 3300 patients (cohort 1, N = 823; cohort 2, N = 2477). Empagliflozin reduced weight, waist circumference and adiposity indices versus placebo in both cohorts. Adjusted mean (95% confidence interval) change from baseline in empagliflozin versus placebo was -1.7 kg (-2.1 to -1.4 kg) and -1.9 kg (-2.1 to -1.7 kg) for body weight (p < 0.001); -1.3 cm (-1.8 to -0.7 cm) and -1.3 cm (-1.7 to -1.0 cm) for waist circumference (p < 0.001); -0.2% (-0.7% to 0.3%; p = 0.45) and -0.3% (-0.7% to 0.0%; p = 0.08) for estimated total body fat; -0.007 (-0.011 to -0.004) and -0.008 (-0.010 to -0.006) for index of central obesity (p < 0.001); and -0.3 (-0.5 to 0.0; p = 0.07) and -0.4 (-0.7 to -0.1; p = 0.003) for visceral adiposity index in cohorts 1 and 2, respectively. Adipose reductions were seen across most age, sex and waist circumference subgroups. CONCLUSION Empagliflozin significantly reduced weight and adiposity indices with the potential to improve cardiometabolic risk among patients with type 2 diabetes mellitus.
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Affiliation(s)
- Ian J Neeland
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Darren K McGuire
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Robert Chilton
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Susanne Crowe
- Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany
| | - Søren S Lund
- Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany
| | - Hans J Woerle
- Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany
| | - Uli C Broedl
- Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany
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