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Zhang X, Zhang Q, Chen T, Wang H, Guo H, Zhang G. A novel pelvis-prostate model BPPP predicts immediate urinary continence after Retzius-sparing robotic-assisted laparoscopic radical prostatectomy. Sci Rep 2024; 14:19271. [PMID: 39164347 PMCID: PMC11336111 DOI: 10.1038/s41598-024-70080-8] [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: 04/14/2024] [Accepted: 08/12/2024] [Indexed: 08/22/2024] Open
Abstract
This study aimed to construct a novel pelvis-prostate model BPPP which consists of body mass index (BMI), prostate volume (PV), pelvic cavity index (PCI) and prostate-muscle index (PMI) to predict the immediate urinary continence after Retzius-sparing robot assisted laparoscopic radical prostatectomy (RS-RARP). The perioperative data of patients with prostate cancer who underwent RS-RARP in the department of urology of Nanjing Drum Tower Hospital from June 2018 to June 2022 were retrospectively analyzed. 280 patients were eligible for this study in total. Multivariate analysis showed that BMI, PV, PCI, PMI and NVB preservation were significantly associated with immediate urinary continence after RS-RARP. Subgroup analysis showed that patients with low BMI, low PV, high PCI and high PMI had a higher recovery rate of immediate urinary continence. The area under the curve of BPPP (BMI + PV + PCI + PMI) for predicting the immediate recovery of urinary continence after RS-RARP was 0.726. Delong test showed that the area under the curve of the combined test for predicting the immediate urinary continence after RS-RARP was better compared with single parameter (p < 0.05). In conclusion the novel pelvis-prostate model BPPP may predict the immediate urinary continence after RS-RARP, providing information for preoperative decision-making.
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Affiliation(s)
- Xiaohu Zhang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China
- School of Medicine, Southeast University, Nanjing, China
| | - Qing Zhang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China
- Institute of Urology, Nanjing University, Nanjing, China
| | - Tianyi Chen
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China
- School of Medicine, Southeast University, Nanjing, China
| | - Hao Wang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China
| | - Hongqian Guo
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China
- Institute of Urology, Nanjing University, Nanjing, China
| | - Gutian Zhang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Medical College of Nanjing University, Nanjing, 210008, China.
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Kim HJ, Kwon O. Nutrition and exercise: Cornerstones of health with emphasis on obesity and type 2 diabetes management-A narrative review. Obes Rev 2024; 25:e13762. [PMID: 38715378 DOI: 10.1111/obr.13762] [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: 09/05/2023] [Revised: 02/22/2024] [Accepted: 04/06/2024] [Indexed: 07/11/2024]
Abstract
While a broad consensus exists that integrated nutrition and regular exercise are foundational for health maintenance and serve as a robust non-pharmacological strategy against cardiometabolic diseases, the nuanced interplay between these elements remains incompletely understood. Through multifaceted interactions, these factors profoundly influence primary metabolic organs, notably the skeletal muscle and adipose tissue. Despite the critical nature of this interactivity, a holistic understanding of the combined effects of physical activity and dietary practices is still emerging. This narrative review aims to elucidate the intertwined roles of nutrition and exercise. It provides a comprehensive overview of their synergistic dynamics and emphasizes the importance of a dual-focus approach in mitigating and managing cardiometabolic disorders, predominantly obesity and type 2 diabetes.
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Affiliation(s)
- Hye Jin Kim
- Laboratory of Developmental Biology and Genomics, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
- Korea Mouse Phenotyping Center (KMPC), Seoul, Republic of Korea
- Logme Inc., Seoul, Republic of Korea
| | - Oran Kwon
- Logme Inc., Seoul, Republic of Korea
- Department of Nutritional Science and Food Management, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea
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Gjela M, Askeland A, Mellergaard M, Drewes AM, Handberg A, Frøkjær JB. Intra-pancreatic fat deposition and its relation to obesity: a magnetic resonance imaging study. Scand J Gastroenterol 2024; 59:742-748. [PMID: 38557425 DOI: 10.1080/00365521.2024.2333365] [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: 01/04/2024] [Accepted: 03/17/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVES Intra-pancreatic fat deposition (IPFD) is suspected to be associated with various medical conditions. This study aimed to assess pancreatic fat content in lean and obese individuals, characterize obese individuals with and without IPFD, and explore the underlying mechanisms. MATERIALS AND METHODS Sixty-two obese individuals without diabetes and 35 lean controls underwent magnetic resonance imaging (MRI) using proton density fat fraction (PDFF) maps to evaluate pancreatic and hepatic fat content, and visceral adipose tissue (VAT) content. Pancreatic fibrosis was explored by T1 relaxation time and MR elastography (MRE) measurements. Associations between pancreatic fat, measures of obesity and metabolic syndrome were examined using uni- and multivariate regression analyses. RESULTS Pancreatic PDFF was higher in obese than in lean controls (median 8.0%, interquartile range (6.1;13.3) % vs 2.6(1.7;3.9)%, p < 0.001). Obese individuals with IPFD (PDFF ≥6.2%) had higher waist circumference (114.0 ± 12.5 cm vs 105.2 ± 8.7 cm, p = 0.007) and VAT (224.9(142.1; 316.1) cm2 vs 168.2(103.4; 195.3) cm2, p < 0.001) than those without. In univariate analysis, pancreatic PDFF in obese individuals correlated with BMI (r = 0.27, p = 0.03), waist circumference (r = 0.44, p < 0.001), VAT (r = 0.37, p = 0.004), hepatic PDFF (r = 0.25, p = 0.046) and diastolic blood pressure (r = 0.32, p = 0.01). However, in multivariate analysis, only VAT was associated to pancreatic fat content. MRI measures of pancreatic fibrosis indicated no evident fibrosis in relation to increased pancreatic fat content. CONCLUSIONS Pancreatic fat content was increased in obese individuals compared with lean controls and predominantly correlated with the amount of visceral adipose tissue. Pancreatic fat content was not clearly linked to measures of pancreatic fibrosis.
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Affiliation(s)
- Mimoza Gjela
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Anders Askeland
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Maiken Mellergaard
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Asbjørn Mohr Drewes
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Gastroenterology, Aalborg University Hospital, Aalborg, Denmark
| | - Aase Handberg
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jens Brøndum Frøkjær
- Department of Radiology, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Villaca CBP, Mastracci TL. Pancreatic Crosstalk in the Disease Setting: Understanding the Impact of Exocrine Disease on Endocrine Function. Compr Physiol 2024; 14:5371-5387. [PMID: 39109973 DOI: 10.1002/cphy.c230008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
The exocrine and endocrine are functionally distinct compartments of the pancreas that have traditionally been studied as separate entities. However, studies of embryonic development, adult physiology, and disease pathogenesis suggest there may be critical communication between exocrine and endocrine cells. In fact, the incidence of the endocrine disease diabetes secondary to exocrine disease/dysfunction ranges from 25% to 80%, depending on the type and severity of the exocrine pathology. Therefore, it is necessary to investigate how exocrine-endocrine "crosstalk" may impact pancreatic function. In this article, we discuss common exocrine diseases, including cystic fibrosis, acute, hereditary, and chronic pancreatitis, and the impact of these exocrine diseases on endocrine function. Additionally, we review how obesity and fatty pancreas influence exocrine function and the impact on cellular communication between the exocrine and endocrine compartments. Interestingly, in all pathologies, there is evidence that signals from the exocrine disease contribute to endocrine dysfunction and the progression to diabetes. Continued research efforts to identify the mechanisms that underlie the crosstalk between various cell types in the pancreas are critical to understanding normal pancreatic physiology as well as disease states. © 2024 American Physiological Society. Compr Physiol 14:5371-5387, 2024.
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Affiliation(s)
| | - Teresa L Mastracci
- Department of Biology, Indiana University Indianapolis, Indianapolis, Indiana, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Oh E, Cho NJ, Kang H, Kim SH, Park HK, Kwon SH. Computed tomography evaluation of skeletal muscle quality and quantity in people with morbid obesity with and without metabolic abnormality. PLoS One 2023; 18:e0296073. [PMID: 38134035 PMCID: PMC10745145 DOI: 10.1371/journal.pone.0296073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
We investigated the differences in quantity and quality of skeletal muscle between metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) individuals using abdominal CT. One hundred and seventy-two people with morbid obesity who underwent bariatric surgery and 64 healthy control individuals participated in this retrospective study. We divided the people with morbid obesity into an MHO and MUO group. In addition, nonobese metabolic healthy people were included analysis to provide reference levels. CT evaluation of muscle quantity (at the level of the third lumbar vertebra [L3]) was performed by calculating muscle anatomical cross-sectional area (CSA), which was normalized to patient height to produce skeletal muscle index (SMI). Muscle quality was assessed as skeletal muscle density (SMD), which was calculated from CT muscle attenuation. To characterize intramuscular composition, muscle attenuation was classified into three categories using Hounsfield unit (HU) thresholds: -190 HU to -30 HU for intermuscular adipose tissue (IMAT), -29 to +29 HU for low attenuation muscle (LAM), and +30 to +150 HU for normal attenuation muscle (NAM). People with morbid obesity comprised 24 (14%) MHO individuals and 148 (86%) MUO individuals. The mean age of the participants was 39.7 ± 12.5 years, and 154 (65%) participants were women. MUO individuals had a significantly greater total skeletal muscle CSA than MHO individuals in the model that adjusted for all variables. Total skeletal muscle SMI, SMD, NAM index, LAM index, and IMAT index did not differ between MHO and MUO individuals for all adjusted models. Total skeletal muscle at the L3 level was not different in muscle quantity, quality, or intramuscular composition between the MHO and MUO individuals, based on CT evaluation. MHO individuals who are considered "healthy" should be carefully monitored and can have a similar risk of metabolic complications as MUO individuals, at least based on an assessment of skeletal muscle.
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Affiliation(s)
- Eunsun Oh
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Nam-Jun Cho
- Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Korea
| | - Heemin Kang
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Sang Hyun Kim
- Department of General Surgery, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Hyeong Kyu Park
- Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Soon Hyo Kwon
- Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea
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Park KY, Park JH, Han K, Yu SH, Lee CB, Kim DS, Park HK, Hwang HS, Hong S. Fatty Liver Change in Older Adults as an Important Risk Factor for Type 2 Diabetes: A Nationwide Cohort Study. Mayo Clin Proc 2023; 98:1809-1819. [PMID: 37804267 DOI: 10.1016/j.mayocp.2023.02.033] [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] [Received: 07/04/2022] [Revised: 01/16/2023] [Accepted: 02/28/2023] [Indexed: 10/09/2023]
Abstract
OBJECTIVE To examine the association between changes in fatty liver disease (FLD) over time and the risk of type 2 diabetes in elderly individuals with prediabetes. METHODS A total of 156,984 elderly individuals with prediabetes who underwent national health screening in 2009 and 2011 were followed up through December 31, 2019. The FLD status was defined as a change in the fatty liver index. Prediabetes was defined as impaired fasting glucose levels at baseline. Multivariable Cox proportional hazards regression was used to calculate the hazard ratio and CIs for type 2 diabetes according to the changes in FLD. RESULTS During a median of 8.35 years of follow-up, type 2 diabetes developed in 29,422 (18.7%) elderly individuals with prediabetes. Multivariable adjusted hazard ratio of type 2 diabetes according to FLD change was 2.22 (95% CI, 2.11 to 2.34) in individuals with persistent FLD compared with those who have never had FLD. Although overall weight loss of 5% or more was associated with a 7% lower risk of type 2 diabetes in total participants, fatty liver status was important. Even with weight loss, those with a history of fatty liver-resolved FLD, new FLD, or persistent FLD-had an increased risk of type 2 diabetes. The risk of type 2 diabetes did not increase in individuals with sustained FLD-free status, regardless of weight change. CONCLUSION The presence and change of FLD are important factors for the development of type 2 diabetes in elderly individuals with prediabetes.
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Affiliation(s)
- Kye-Yeung Park
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Jung Hwan Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Sung Hoon Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, South Korea
| | - Chang Beom Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, South Korea
| | - Dong Sun Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Hoon-Ki Park
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Hwan-Sik Hwang
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Sangmo Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, South Korea.
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Bonora BM, Cappellari R, Albiero M, Prevedello L, Foletto M, Vettor R, Avogaro A, Fadini GP. Putative circulating adipose tissue-derived stem cells, obesity, and metabolic syndrome features. J Endocrinol Invest 2023; 46:2147-2155. [PMID: 36952215 PMCID: PMC10514150 DOI: 10.1007/s40618-023-02067-7] [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: 12/15/2022] [Accepted: 03/09/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE In mice, adipose tissue-derived stem cells (ASCs) reach the systemic circulation and establish ectopic adipose depots fostering insulin resistance, but whether this occurs in humans is unknown. We examined circulating ASCs in individuals with various combination of metabolic syndrome traits. METHODS We enrolled patients attending a routine metabolic evaluation or scheduled for bariatric surgery. We quantified ASCs as CD34+CD45-CD31-(CD36+) cells in the stromal vascular fraction of subcutaneous and visceral adipose tissue samples and examined the presence and frequency of putative ASCs in peripheral blood. RESULTS We included 111 patients (mean age 59 years, 55% males), 40 of whom were scheduled for bariatric surgery. The population of CD34+CD45-CD31- ASCs was significantly more frequent in visceral than subcutaneous adipose depots (10.4 vs 4.1% of the stromal vascular fraction; p < 0.001), but not correlated with BMI or metabolic syndrome traits. The same phenotype of ASCs was detectable in peripheral blood of 58.6% of patients. Those with detectable circulating ASCs had significantly higher BMI (37.8 vs 33.3 kg/m2; p = 0.003) and waist (111.2 vs 105.4 cm; p = 0.001), but no difference in other metabolic syndrome traits (p = 0.84). After bariatric surgery, patients with detectable circulating ASCs had greater BMI reductions at 6 months (- 10.4 vs - 7.8 kg/m2; p = 0.014). CONCLUSION Presence of putative circulating ASCs, antigenically similar to those observed in the adipose tissue, is associated with greater adiposity and larger BMI reduction after surgery, but not with clinical signs of metabolic impairment. The role of circulating ASCs in adipose tissue biology and systemic metabolism deserves further investigation.
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Affiliation(s)
- B M Bonora
- Department of Medicine, University of Padova, 35128, Padua, Italy
- Veneto Institute of Molecular Medicine, 35129, Padua, Italy
| | - R Cappellari
- Department of Medicine, University of Padova, 35128, Padua, Italy
- Bariatric Surgery Unit, University Hospital of Padova, 35128, Padua, Italy
| | - M Albiero
- Department of Medicine, University of Padova, 35128, Padua, Italy
- Veneto Institute of Molecular Medicine, 35129, Padua, Italy
| | - L Prevedello
- Bariatric Surgery Unit, University Hospital of Padova, 35128, Padua, Italy
| | - M Foletto
- Bariatric Surgery Unit, University Hospital of Padova, 35128, Padua, Italy
| | - R Vettor
- Department of Medicine, University of Padova, 35128, Padua, Italy
| | - A Avogaro
- Department of Medicine, University of Padova, 35128, Padua, Italy
| | - G P Fadini
- Department of Medicine, University of Padova, 35128, Padua, Italy.
- Veneto Institute of Molecular Medicine, 35129, Padua, Italy.
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Fu Y, Li X, Wang T, Yan S, Zhang X, Hu G, Zhou J, Wang Y, Liu C, Wang S, Cong Y, Chen L, Li T, Rong S. The Prevalence and Agreement of Sarcopenic Obesity Using Different Definitions and Its Association with Mild Cognitive Impairment. J Alzheimers Dis 2023; 94:137-146. [PMID: 37212103 DOI: 10.3233/jad-221232] [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] [Indexed: 05/23/2023]
Abstract
BACKGROUND The consistent definition of sarcopenic obesity (SO) is limited, its association with mild cognitive impairment (MCI) has not been clarified. OBJECTIVE This study aimed to evaluate the prevalence and agreement of SO using different definitions and the association between SO and MCI. METHODS SO was diagnosed by the co-existence of sarcopenia defined by the Asia Working Group for Sarcopenia (AWGS) and obesity by body mass index (BMI), visceral fat area (VFA), waist circumference (WC), or body fat percentage (BF%). Cohen's kappa was used to assess the agreement between the different definitions. The association between SO and MCI was assessed using multivariable logistic regression. RESULTS Among 2,451 participants, the prevalence of SO ranged from 1.7% to 8.0% under different definitions. SO defined by AWGS and BMI (AWGS+BMI) showed fair agreements with the other three criteria (κ ranged from 0.334 to 0.359). The other criteria showed good agreements with each other. The κ statistics were 0.882 for AWGS+VFA and AWGS+BF%, 0.852 for AWGS+VFA and AWGS+WC, and 0.804 for AWGS+BF% and AWGS+WC, respectively. When using different diagnoses of SO, compared with the health group, the adjusted ORs of MCI for SO were 1.96 (95% CI: 1.29-2.99, SO: AWGS+WC), 1.75 (95% CI: 1.14-2.68, SO: AWGS+VFA), 1.94 (95% CI: 1.29-2.93, SO: AWGS+BF%), and 1.45 (95% CI: 0.67-3.12, SO: AWGS+BMI), respectively. CONCLUSION Using different obesity indicators combined with AWGS to diagnose SO, BMI had lower prevalence and agreement compared with other three indicators. SO was associated with MCI under different methods (WC, VFA, or BF%).
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Affiliation(s)
- Yu Fu
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xiaolong Li
- Department of Neurology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Ting Wang
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Shuhua Yan
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xisheng Zhang
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Geng Hu
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jin Zhou
- Chinese Nutrition Society (CNS) Academy of Nutrition and Health (Beijing Zhongyinghui Nutrition and Health Research Institute), Beijing, China
| | - Yan Wang
- Chinese Nutrition Society (CNS) Academy of Nutrition and Health (Beijing Zhongyinghui Nutrition and Health Research Institute), Beijing, China
| | - ChangShu Liu
- Standard Foods (China) Co., Ltd., No. 88 Dalian West Road, Taicang Port Economic and Technological Development Zone New Zone, Suzhou, Jiangsu, P.R. China
| | - Sai Wang
- Standard Foods (China) Co., Ltd., No. 88 Dalian West Road, Taicang Port Economic and Technological Development Zone New Zone, Suzhou, Jiangsu, P.R. China
| | - Yang Cong
- Standard Foods (China) Co., Ltd., No. 88 Dalian West Road, Taicang Port Economic and Technological Development Zone New Zone, Suzhou, Jiangsu, P.R. China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Li
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Shuang Rong
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology; Hongshan Central Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
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Aldahhan RA, Motawei KH, Al-Hariri MT. Lipotoxicity-related sarcopenia: a review. J Med Life 2022; 15:1334-1339. [PMID: 36567835 PMCID: PMC9762358 DOI: 10.25122/jml-2022-0157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/27/2022] [Indexed: 12/27/2022] Open
Abstract
A body of literature supports the postulation that a persistent lipid metabolic imbalance causes lipotoxicity, "an abnormal fat storage in the peripheral organs". Hence, lipotoxicity could somewhat explain the process of sarcopenia, an aging-related, gradual, and involuntary decline in skeletal muscle strength and mass associated with several health complications. This review focuses on the recent mechanisms underlying lipotoxicity-related sarcopenia. A vicious cycle occurs between sarcopenia and ectopic fat storage via a complex interplay of mitochondrial dysfunction, pro-inflammatory cytokine production, oxidative stress, collagen deposition, extracellular matrix remodeling, and life habits. The repercussions of lipotoxicity exacerbation of sarcopenia can include increased disability, morbidity, and mortality. This suggests that appropriate lipotoxicity management should be considered the primary target for the prevention and/or treatment of chronic musculoskeletal and other aging-related disorders. Further advanced research is needed to understand the molecular details of lipotoxicity and its consequences for sarcopenia and sarcopenia-related comorbidities.
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Affiliation(s)
| | - Kamaluddin Hasan Motawei
- Department of Anatomy, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Mohammed Taha Al-Hariri
- Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia,Corresponding Author: Mohammed Taha Al-Hariri, Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. E-mail:
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Blaho M, Macháčková J, Dítě P, Holéczy P, Šedivý P, Psár R, Švagera Z, Vilímek D, Toman D, Urban O, Bužga M. Use of Magnetic Resonance Imaging to Quantify Fat and Steatosis in the Pancreas in Patients after Bariatric Surgery: a Retrospective Study. Obes Surg 2022; 32:3666-3674. [PMID: 36121606 DOI: 10.1007/s11695-022-06278-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/08/2022] [Accepted: 09/12/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Pancreatic steatosis (PS) has both metabolic consequences and local effects on the pancreas itself. Magnetic resonance imaging (MRI) is the most reliable non-invasive method for diagnosing PS. We investigated the impact of metabolic syndrome (MS) on the presence of PS, differences in individuals with and without PS, and the metabolic effects of bariatric procedures. METHODS Changes in anthropometric and basic biochemistry values and MS occurrence were evaluated in 34 patients with obesity who underwent a bariatric procedure. After the procedure, patients underwent MRI with manual 3D segmentation mask creation to determine the pancreatic fat content (PFC). We compared the differences in the PFC and the presence of PS in individuals with and without MS and compared patients with and without PS. RESULTS We found no significant difference in the PFC between the groups with and without MS or in the occurrence of PS. There were significant differences in patients with and without PS, especially in body mass index (BMI), fat mass, visceral adipose tissue (VAT), select adipocytokines, and lipid spectrum with no difference in glycemia levels. Significant metabolic effects of bariatric procedures were observed. CONCLUSIONS Bariatric procedures can be considered effective in the treatment of obesity, MS, and some of its components. Measuring PFC using MRI did not show any difference in relation to MS, but patients who lost weight to BMI < 30 did not suffer from PS and had lower overall fat mass and VAT. Glycemia levels did not have an impact on the presence of PS.
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Affiliation(s)
- Martin Blaho
- Department of Internal Medicine and Cardiology, Division of Gastroenterology, University Hospital Ostrava, Ostrava, Czech Republic
- Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Internal Medicine II - Gastroenterology and Geriatrics, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital, Olomouc, Czech Republic
| | - Jitka Macháčková
- Department of Internal Medicine and Cardiology, Division of Gastroenterology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Petr Dítě
- Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Gastroenterology and Internal Medicine, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Pavol Holéczy
- Department of Surgery, Vitkovice Hospital, Ostrava, Czech Republic
- Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Petr Šedivý
- MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Robert Psár
- Department of Radiology, Vitkovice Hospital, Ostrava, Czech Republic
- Department of Radiology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital, Olomouc, Czech Republic
| | - Zdeněk Švagera
- Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic
| | - Dominik Vilímek
- Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Daniel Toman
- Department of Surgical Studies, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
- Department of Surgery, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondřej Urban
- Department of Internal Medicine II - Gastroenterology and Geriatrics, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital, Olomouc, Czech Republic
| | - Marek Bužga
- Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic.
- Department of Physiology and Pathophysiology, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
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11
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Gille B, Galuska CE, Fuchs B, Peleg S. Recent Advances in Studying Age-Associated Lipids Alterations and Dietary Interventions in Mammals. FRONTIERS IN AGING 2022; 2:773795. [PMID: 35822042 PMCID: PMC9261446 DOI: 10.3389/fragi.2021.773795] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 10/28/2021] [Indexed: 11/16/2022]
Abstract
Lipids are involved in a broad spectrum of canonical biological functions, from energy supply and storage by triacylglycerols to membrane formation by sphingolipids, phospholipids and glycolipids. Because of this wide range of functions, there is an overlap between age-associated processes and lipid pathways. Lipidome analysis revealed age-related changes in the lipid composition of various tissues in mice and humans, which were also influenced by diet and gender. Some changes in the lipid profile can be linked to the onset of age-related neurodegenerative diseases like Alzheimer’s disease. Furthermore, the excessive accumulation of lipid storage organelles, lipid droplets, has significant implications for the development of inflammaging and non-communicable age-related diseases. Dietary interventions such as caloric restriction, time-restrictive eating, and lipid supplementation have been shown to improve pertinent health metrics or even extend life span and thus modulate aging processes.
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Affiliation(s)
- Benedikt Gille
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Christina E Galuska
- Core Facility Metabolomics, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Beate Fuchs
- Core Facility Metabolomics, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Shahaf Peleg
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.,Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, Qingdao, China
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12
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Kimura N, Yamada Y, Takeshima Y, Otsuka M, Akamatsu N, Hakozaki Y, Miyakawa J, Sato Y, Akiyama Y, Yamada D, Fujimura T, Kume H. The 'prostate-muscle index': a simple pelvic cavity measurement predicting estimated blood loss and console time in robot-assisted radical prostatectomy. Sci Rep 2022; 12:11945. [PMID: 35831361 PMCID: PMC9279306 DOI: 10.1038/s41598-022-16202-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/06/2022] [Indexed: 11/10/2022] Open
Abstract
This study was to show the impact of ‘prostate-muscle index (PMI)’, which we developed as a novel pelvic cavity measurement, in patients undergoing robot-assisted radical prostatectomy (RARP). We defined PMI as the ‘distance between the inner edge of the obturator internus muscle and the lateral edge of the prostate at the magnetic resonance imaging (MRI) slice showing the maximum width of the prostate’. Seven hundred sixty patients underwent RARP at the University of Tokyo Hospital from November 2011 to December 2018. MRI results were unavailable in 111 patients. In total, 649 patients were eligible for this study. Median values of blood loss and console time were 300 mL and 168 min. In multivariate analysis, body mass index (BMI), prostate volume-to-pelvic cavity index (PV-to-PCI), PMI, and surgical experience were significantly associated with blood loss > 300 mL (P = 0.0002, 0.002, < 0.0001, and 0.006 respectively). Additionally, BMI, PMI, and surgical experience were also significantly associated with console time > 160 min in multivariate analysis (P = 0.04, 0.004, and < 0.0001, respectively). In conclusion, PMI may provide useful information to surgeons and patients in preoperative decision-making.
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Affiliation(s)
- Naoki Kimura
- Department of Urology, National Center for Global Health and Medicine, Shinjuku-Ku, Tokyo, Japan.,Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Yuta Yamada
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
| | - Yuta Takeshima
- Division of Innovative Cancer Therapy, The Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Minato-Ku, Tokyo, Japan
| | | | - Nobuhiko Akamatsu
- Department of Radiology, Nerima Hikarigaoka Hospital, Nerima-Ku, Tokyo, Japan
| | - Yuji Hakozaki
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Jimpei Miyakawa
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Yusuke Sato
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Yoshiyuki Akiyama
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Daisuke Yamada
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Tetsuya Fujimura
- Department of Urology, Jichi Medical University, Shimotsuke City, Tochigi, Japan
| | - Haruki Kume
- Department of Urology, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
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13
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Berton M, Bettonte S, Stader F, Battegay M, Marzolini C. Repository Describing the Anatomical, Physiological, and Biological Changes in an Obese Population to Inform Physiologically Based Pharmacokinetic Models. Clin Pharmacokinet 2022; 61:1251-1270. [PMID: 35699913 PMCID: PMC9439993 DOI: 10.1007/s40262-022-01132-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2022] [Indexed: 11/24/2022]
Abstract
Background Obesity is associated with physiological changes that can affect drug pharmacokinetics. Obese individuals are underrepresented in clinical trials, leading to a lack of evidence-based dosing recommendations for many drugs. Physiologically based pharmacokinetic (PBPK) modelling can overcome this limitation but necessitates a detailed description of the population characteristics under investigation. Objective The purpose of this study was to develop and verify a repository of the current anatomical, physiological, and biological data of obese individuals, including population variability, to inform a PBPK framework. Methods A systematic literature search was performed to collate anatomical, physiological, and biological parameters for obese individuals. Multiple regression analyses were used to derive mathematical equations describing the continuous effect of body mass index (BMI) within the range 18.5–60 kg/m2 on system parameters. Results In total, 209 studies were included in the database. The literature reported mostly BMI-related changes in organ weight, whereas data on blood flow and biological parameters (i.e. enzyme abundance) were sparse, and hence physiologically plausible assumptions were made when needed. The developed obese population was implemented in Matlab® and the predicted system parameters obtained from 1000 virtual individuals were in agreement with observed data from an independent validation obese population. Our analysis indicates that a threefold increase in BMI, from 20 to 60 kg/m2, leads to an increase in cardiac output (50%), liver weight (100%), kidney weight (60%), both the kidney and liver absolute blood flows (50%), and in total adipose blood flow (160%). Conclusion The developed repository provides an updated description of a population with a BMI from 18.5 to 60 kg/m2 using continuous physiological changes and their variability for each system parameter. It is a tool that can be implemented in PBPK models to simulate drug pharmacokinetics in obese individuals.
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Affiliation(s)
- Mattia Berton
- Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital Basel, Basel, Switzerland. .,University of Basel, Basel, Switzerland.
| | - Sara Bettonte
- Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | | | - Manuel Battegay
- Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Catia Marzolini
- Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
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14
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Salman AA, Salman MA, Said M, El Sherbiny M, Elkassar H, Hassan MB, Marwan A, Morad MA, Ashoush O, Labib S, Aon MH, Awad A, Sayed M, Taha AE, Moustafa A, Shaaban HED, Khater A, Elewa A, Khalaf AM, Mostafa AA, Matter M, Youssef A. Improvement of Pancreatic Steatosis and Indices of Insulin Resistance After Metabolic Surgery. Front Med (Lausanne) 2022; 9:894465. [PMID: 35733870 PMCID: PMC9207952 DOI: 10.3389/fmed.2022.894465] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Obesity is associated with fat accumulation in ectopic sites such as the pancreas, the so-called pancreatic steatosis (PS). Bariatric surgery has been shown to be associated with reducing pancreatic fat. This study investigated the effect of laparoscopic sleeve gastrectomy (LSG) on pancreatic volume and its fat content and glucose homeostasis. Methods The study enrolled 54 patients subjected to LSG. Metabolic variables and pancreatic exocrine function were assessed immediately before surgery and 12 months after. MRI of the abdomen was performed to measure pancreatic fat content and its total volume and visceral adipose tissue (VAT). Results Surgery resulted in a significant reduction in body weight and BMI. HbA1c, fasting insulin, C-peptide levels, HOMA-IR, and Hs-CRP levels decreased significantly. Surgery resulted in significant improvement in lipid profile except for HDL-cholesterol and liver function tests. Total VAT volume decreased significantly. Total pancreas volume decreased by a mean of 9.0 cm3 (95% CI: 6.6–11.3). The median change of pancreatic fat was −26.1% (range: −55.6 to 58.3%). Pancreatic lipase decreased significantly (P < 0.001). There was a positive correlation between the percentage of total weight loss and decrease in pancreatic fat volume (r = 0.295, P = 0.030). Conclusion Weight loss after LSG is associated with a reduction of total VAT volume, total pancreatic volume, and pancreatic fat content. These changes are associated with improved glucose homeostasis, reduced systemic inflammation, and decreased pancreatic lipase secretion.
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Affiliation(s)
- Ahmed Abdallah Salman
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
- *Correspondence: Ahmed Abdallah Salman
| | | | - Mostafa Said
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohammad El Sherbiny
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Hesham Elkassar
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed Badr Hassan
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ahmed Marwan
- Internal Medicine Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | | | - Omar Ashoush
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Safa Labib
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed H. Aon
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Abeer Awad
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohamed Sayed
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ahmed E. Taha
- Department of Endemic Medicine and Hepatology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Ahmed Moustafa
- Department of Endemic Medicine and Hepatology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Hossam El-Din Shaaban
- Tropical and Gastroenterology Department, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt
| | - Amir Khater
- Tropical and Gastroenterology Department, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt
| | - Ahmed Elewa
- General Surgery Department, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt
| | - Adel M. Khalaf
- Department of General Surgery, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | - Ahmed A. Mostafa
- Department of General Surgery, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | - Mohamed Matter
- Radiodiagnosis Department, Faculty of Medicine, Alazhar University, Cairo, Egypt
| | - Ahmed Youssef
- Internal Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt
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15
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Masubuchi R, Noda M, Yoshida S, Kawakami K. Longitudinal study of body mass index and percentage of overweight in Japanese children grouped by maturity. Endocr J 2022; 69:451-461. [PMID: 34955474 DOI: 10.1507/endocrj.ej21-0434] [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] [Indexed: 11/23/2022] Open
Abstract
Childhood obesity is a known risk factor for adult diseases, making its evaluation highly important. However, the evaluation is complex because there is no gold standard method. Body mass index (BMI) and percentage of overweight (POW) are widely used in Japan. However, they have the following limitations: it is difficult to set cutoffs for BMI because it dynamically varies in childhood, and POW has not been studied extensively, especially regarding its difference during maturity. Therefore, our study analyzed BMI/POW in Japanese children grouped by maturity. We used longitudinal school check-up data collected from elementary and junior high schools in 20 municipalities. We made percentile curves of BMI/POW and calculated the percentage of participants considered overweight/obese by sex, age, and maturity. Maximum increment age (MIA) was calculated using the graphical fitting method. We included 35,461 subjects aged 15 in 2018. Early-maturing children had higher BMI. The difference among maturity groups decreased by shifting the percentile curves by differences in MIA. Therefore, the use of BMI might lead to the overestimation of overweight/obesity in early-maturing children and underestimation in late-maturing children. The POW percentile curves were "N"-shaped around the MIA, indicating the inappropriate evaluation during this period. The percentile curves of children categorized as overweight/obese were also "N"-shaped, confirming that MIA affects the evaluation of childhood obesity. The possibility of overestimation/underestimation needs verification with the data of accurate age, pubertal changes, and adult diseases. In conclusion, it is difficult to evaluate childhood obesity only with height and weight.
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Affiliation(s)
- Reiko Masubuchi
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto 606-8501, Japan
| | - Masahiro Noda
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto 606-8501, Japan
| | - Satomi Yoshida
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto 606-8501, Japan
| | - Koji Kawakami
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto 606-8501, Japan
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16
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Li CW, Yu K, Shyh-Chang N, Jiang Z, Liu T, Ma S, Luo L, Guang L, Liang K, Ma W, Miao H, Cao W, Liu R, Jiang LJ, Yu SL, Li C, Liu HJ, Xu LY, Liu RJ, Zhang XY, Liu GS. Pathogenesis of sarcopenia and the relationship with fat mass: descriptive review. J Cachexia Sarcopenia Muscle 2022; 13:781-794. [PMID: 35106971 PMCID: PMC8977978 DOI: 10.1002/jcsm.12901] [Citation(s) in RCA: 165] [Impact Index Per Article: 82.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 10/26/2021] [Accepted: 11/28/2021] [Indexed: 02/06/2023] Open
Abstract
Age-associated obesity and muscle atrophy (sarcopenia) are intimately connected and are reciprocally regulated by adipose tissue and skeletal muscle dysfunction. During ageing, adipose inflammation leads to the redistribution of fat to the intra-abdominal area (visceral fat) and fatty infiltrations in skeletal muscles, resulting in decreased overall strength and functionality. Lipids and their derivatives accumulate both within and between muscle cells, inducing mitochondrial dysfunction, disturbing β-oxidation of fatty acids, and enhancing reactive oxygen species (ROS) production, leading to lipotoxicity and insulin resistance, as well as enhanced secretion of some pro-inflammatory cytokines. In turn, these muscle-secreted cytokines may exacerbate adipose tissue atrophy, support chronic low-grade inflammation, and establish a vicious cycle of local hyperlipidaemia, insulin resistance, and inflammation that spreads systemically, thus promoting the development of sarcopenic obesity (SO). We call this the metabaging cycle. Patients with SO show an increased risk of systemic insulin resistance, systemic inflammation, associated chronic diseases, and the subsequent progression to full-blown sarcopenia and even cachexia. Meanwhile in many cardiometabolic diseases, the ostensibly protective effect of obesity in extremely elderly subjects, also known as the 'obesity paradox', could possibly be explained by our theory that many elderly subjects with normal body mass index might actually harbour SO to various degrees, before it progresses to full-blown severe sarcopenia. Our review outlines current knowledge concerning the possible chain of causation between sarcopenia and obesity, proposes a solution to the obesity paradox, and the role of fat mass in ageing.
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Affiliation(s)
- Chun-Wei Li
- Department of Clinical Nutrition & Health Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kang Yu
- Department of Clinical Nutrition & Health Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ng Shyh-Chang
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Zongmin Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Taoyan Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Shilin Ma
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lanfang Luo
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Lu Guang
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Kun Liang
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenwu Ma
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hefan Miao
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenhua Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Ruirui Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Beijing Institute for Stem Cell and Regenerative Medicine, Institute for Stem Cell and Regeneration, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Ling-Juan Jiang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Song-Lin Yu
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chao Li
- Department of General Surgery, Tianjin Union Medical Center, The Affiliated Hospital of Nankai University, China (Tianjin Union Medical Center, Tianjin, China
| | - Hui-Jun Liu
- Department of nursing & Clinical Nutrition, Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Long-Yu Xu
- Department of Sport Physiatry, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rong-Ji Liu
- Department of Pharmacy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin-Yuan Zhang
- Department of stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gao-Shan Liu
- Department of Health Education, Shijingshan Center for Disease Prevention and Control, Beijing, China
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17
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Zalejska-Fiolka J, Birková A, Hubková B, Wielkoszyński T, Čižmárová B, Szlachta B, Fiolka R, Błaszczyk U, Wylęgała A, Kasperczyk S, Grzanka A, Mareková M, Toborek M. SUCCESSFUL CORRECTION OF HYPERGLYCEMIA IS CRITICAL FOR WEIGHT LOSS AND A DECREASE IN CARDIOVASCULAR RISK IN OBESE PATIENTS. J Nutr Biochem 2022; 106:109021. [DOI: 10.1016/j.jnutbio.2022.109021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 02/14/2022] [Accepted: 03/18/2022] [Indexed: 10/18/2022]
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18
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Zhang QH, Xie LH, Zhang HN, Liu JH, Zhao Y, Chen LH, Ju Y, Chen AL, Wang N, Song QW, Xie LZ, Liu AL. Magnetic Resonance Imaging Assessment of Abdominal Ectopic Fat Deposition in Correlation With Cardiometabolic Risk Factors. Front Endocrinol (Lausanne) 2022; 13:820023. [PMID: 35432188 PMCID: PMC9005896 DOI: 10.3389/fendo.2022.820023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE Ectopic fat accumulation and abdominal fat distribution may have different cardiometabolic risk profiles. This study aimed to assess the associations between various magnetic resonance imaging (MRI)-acquired fat depots and cardiometabolic risk factors. METHODS A total of 320 subjects with median age of 59 years, 148 men and 172 women, were enrolled in the study. Visceral adipose tissue (VAT) area and fat fraction (FF), subcutaneous adipose tissue (SAT) area and FF at the L1-L2 levels, preperitoneal adipose tissue (pPAT) area and FF, hepatic FF, pancreatic FF, and intramuscular FF were assessed by MRI FF maps. The associations of various MRI-acquired fat depots with blood pressure, glucose, and lipid were examined using sex-stratified linear regression. Logistic regression stratified by sex was used to analyze the association of various MRI-acquired fat depots with the risk of hypertension, T2DM, and dyslipidemia. RESULTS The intraclass correlation coefficient (ICC) values were >0.9, which suggested good interobserver and intraobserver agreement. VAT area, V/S, hepatic fat, pancreatic fat, and pPAT rather than SAT area were significantly associated with multiple cardiometabolic risk factors (all p < 0.05). However, the patterns of these correlations varied by sex and specific risk factors. Also, VAT and SAT FF were only significantly associated with multiple cardiometabolic risk factors in women (all p < 0.05). CONCLUSIONS VAT, hepatic fat, pancreatic fat, and pPAT were associated with cardiovascular metabolic risk factors independent of BMI. The patterns of these correlations were related to gender. These findings further the understanding of the association between ectopic fat deposition and cardiometabolic risk factors and help to better understand the obesity heterogeneity.
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Affiliation(s)
- Qin-He Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Lu-Han Xie
- Department of Pathology and Forensics, Dalian Medical University, Dalian, China
| | - Hao-Nan Zhang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jing-Hong Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Zhao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Li-Hua Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ye Ju
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - An-Liang Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Nan Wang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qing-Wei Song
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Li-Zhi Xie
- MR Research, GE Healthcare, Beijing, China
| | - Ai-Lian Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Ai-Lian Liu,
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19
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Filippatos TD, Alexakis K, Mavrikaki V, Mikhailidis DP. Nonalcoholic Fatty Pancreas Disease: Role in Metabolic Syndrome, "Prediabetes," Diabetes and Atherosclerosis. Dig Dis Sci 2022; 67:26-41. [PMID: 33469809 DOI: 10.1007/s10620-021-06824-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 01/05/2021] [Indexed: 02/06/2023]
Abstract
Fat accumulation in the pancreas associated with obesity and the metabolic syndrome (MetS) has been defined as "non-alcoholic fatty pancreas disease" (NAFPD). The aim of this review is to describe the association of NAFPD with obesity, MetS, type 2 diabetes mellitus (T2DM) and atherosclerosis and also increase awareness regarding NAFPD. Various methods are used for the detection and quantification of pancreatic fat accumulation that may play a significant role in the differences that have been observed in the prevalence of NAFPD. Endoscopic ultrasound provides detailed images of the pancreas and its use is expected to increase in the future. Obesity and MetS have been recognized as NAFPD risk factors. NAFPD is strongly associated with non-alcoholic fatty liver disease (NAFLD) and it seems that the presence of both may be related with aggravation of NAFLD. A role of NAFPD in the development of "prediabetes" and T2DM has also been suggested by most human studies. Accumulation of fat in pancreatic tissue possibly initiates a vicious cycle of beta-cell deterioration and further pancreatic fat accumulation. Additionally, some evidence indicates a correlation between NAFPD and atherosclerotic markers (e.g., carotid intima-media thickness). Weight loss and bariatric surgery decreases pancreatic triglyceride content but pharmacologic treatments for NAFPD have not been evaluated in specifically designed studies. Hence, NAFPD is a marker of local fat accumulation possibly associated with beta-cell function impairment, carbohydrate metabolism disorders and atherosclerosis.
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Affiliation(s)
- T D Filippatos
- Metabolic Diseases Research Unit, Internal Medicine Laboratory, School of Medicine, Faculty of Medicine, University of Crete, P.O. Box 2208, Heraklion, Crete, Greece.
| | - K Alexakis
- Metabolic Diseases Research Unit, Internal Medicine Laboratory, School of Medicine, Faculty of Medicine, University of Crete, P.O. Box 2208, Heraklion, Crete, Greece
| | - V Mavrikaki
- Metabolic Diseases Research Unit, Internal Medicine Laboratory, School of Medicine, Faculty of Medicine, University of Crete, P.O. Box 2208, Heraklion, Crete, Greece
| | - D P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Campus, University College London Medical School, University College London (UCL), London, NW3 2QG, UK.,Mohammed Bin Rashid University (MBRU) of Medicine and Health Sciences, Dubai, United Arab Emirates
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20
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Silverio R, Gonçalves DC, Andrade MF, Seelaender M. Coronavirus Disease 2019 (COVID-19) and Nutritional Status: The Missing Link? Adv Nutr 2021; 12:682-692. [PMID: 32975565 PMCID: PMC7543263 DOI: 10.1093/advances/nmaa125] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 08/19/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is an emerging disease that has reached pandemic status by rapidly spreading worldwide. Elderly individuals and patients with comorbidities such as obesity, diabetes, and hypertension show a higher risk of hospitalization, severe disease, and mortality by acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. These patients frequently show exacerbated secretion of proinflammatory cytokines associated with an overreaction of the immune system, the so-called cytokine storm. Host nutritional status plays a pivotal role in the outcome of a variety of different infectious diseases. It is known that the immune system is highly affected by malnutrition, leading to decreased immune responses with consequent augmented risk of infection and disease severity. Body composition, especially low lean mass and high adiposity, has consistently been linked to worsened prognosis in many different diseases. In this review, evidence concerning the impact of nutritional status on viral infection outcomes is discussed.
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Affiliation(s)
- Renata Silverio
- Cancer Metabolism Research Group, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- Multicenter Graduate Program in Physiological Sciences, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Daniela Caetano Gonçalves
- Cancer Metabolism Research Group, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- Biosciences Department, Universidade Federal de São Paulo (UNIFESP), Campus Baixada Santista, Santos, Brazil
| | - Márcia Fábia Andrade
- Cancer Metabolism Research Group, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Marilia Seelaender
- Cancer Metabolism Research Group, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
- Department of Clinical Surgery, LIM 26-HC, Faculdade de Medicina, University of São Paulo, São Paulo, Brazil
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21
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The effect of ageing on skeletal muscle as assessed by quantitative MR imaging: an association with frailty and muscle strength. Aging Clin Exp Res 2021; 33:291-301. [PMID: 32198628 PMCID: PMC7914187 DOI: 10.1007/s40520-020-01530-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 03/04/2020] [Indexed: 12/22/2022]
Abstract
Background Skeletal muscles undergo changes with ageing which can cause sarcopenia that can result in frailty. Quantitative MRI may detect the muscle-deficit component of frailty which could help improve the understanding of ageing muscles. Aims To investigate whether quantitative MRI measures of T2, fat fraction (FF), diffusion tensor imaging and muscle volume can detect differences within the muscles between three age groups, and to assess how these measures compare with frailty index, gait speed and muscle power. Methods 18 ‘young’ (18–30 years), 18 ‘middle-aged’ (31–68 years) and 18 ‘older’ (> 69 years) healthy participants were recruited. Participants had an MRI of their dominant thigh. Knee extension and flexion power and handgrip strength were measured. Frailty (English Longitudinal Study of Ageing frailty index) and gait speed were measured in the older participants. Results Young participants had a lower muscle MRI T2, FF and mean diffusivity than middle-aged and older participants; middle-aged participants had lower values than older participants. Young participants had greater muscle flexion and extension power, muscle volume and stronger hand grip than middle-aged and older participants; middle-aged participants had greater values than the older participants. Quantitative MRI measurements correlated with frailty index, gait speed, grip strength and muscle power. Discussion Quantitative MRI and strength measurements can detect muscle differences due to ageing. Older participants had raised T2, FF and mean diffusivity and lower muscle volume, grip strength and muscle power. Conclusions Quantitative MRI measurements correlate with frailty and muscle function and could be used for identifying differences across age groups within muscle.
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22
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Campbell-Thompson M, Tang SC. Pancreas Optical Clearing and 3-D Microscopy in Health and Diabetes. Front Endocrinol (Lausanne) 2021; 12:644826. [PMID: 33981285 PMCID: PMC8108133 DOI: 10.3389/fendo.2021.644826] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 04/08/2021] [Indexed: 12/13/2022] Open
Abstract
Although first described over a hundred years ago, tissue optical clearing is undergoing renewed interest due to numerous advances in optical clearing methods, microscopy systems, and three-dimensional (3-D) image analysis programs. These advances are advantageous for intact mouse tissues or pieces of human tissues because samples sized several millimeters can be studied. Optical clearing methods are particularly useful for studies of the neuroanatomy of the central and peripheral nervous systems and tissue vasculature or lymphatic system. Using examples from solvent- and aqueous-based optical clearing methods, the mouse and human pancreatic structures and networks will be reviewed in 3-D for neuro-insular complexes, parasympathetic ganglia, and adipocyte infiltration as well as lymphatics in diabetes. Optical clearing with multiplex immunofluorescence microscopy provides new opportunities to examine the role of the nervous and circulatory systems in pancreatic and islet functions by defining their neurovascular anatomy in health and diabetes.
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Affiliation(s)
- Martha Campbell-Thompson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States
- *Correspondence: Martha Campbell-Thompson, ; Shiue-Cheng Tang,
| | - Shiue-Cheng Tang
- Department of Medical Science and Institute of Biotechnology, National Tsing Hua University, Hsinchu, Taiwan
- *Correspondence: Martha Campbell-Thompson, ; Shiue-Cheng Tang,
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23
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Magkos F, Hjorth MF, Astrup A. Diet and exercise in the prevention and treatment of type 2 diabetes mellitus. Nat Rev Endocrinol 2020; 16:545-555. [PMID: 32690918 DOI: 10.1038/s41574-020-0381-5] [Citation(s) in RCA: 189] [Impact Index Per Article: 47.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2020] [Indexed: 02/08/2023]
Abstract
Evidence from observational studies and randomized trials suggests that prediabetes and type 2 diabetes mellitus (T2DM) can develop in genetically susceptible individuals in parallel with weight (that is, fat) gain. Accordingly, studies show that weight loss can produce remission of T2DM in a dose-dependent manner. A weight loss of ~15 kg, achieved by calorie restriction as part of an intensive management programme, can lead to remission of T2DM in ~80% of patients with obesity and T2DM. However, long-term weight loss maintenance is challenging. Obesity and T2DM are associated with diminished glucose uptake in the brain that impairs the satiating effect of dietary carbohydrate; therefore, carbohydrate restriction might help maintain weight loss and maximize metabolic benefits. Likewise, increases in physical activity and fitness are an important contributor to T2DM remission when combined with calorie restriction and weight loss. Preliminary studies suggest that a precision dietary management approach that uses pretreatment glycaemic status to stratify patients can help optimize dietary recommendations with respect to carbohydrate, fat and dietary fibre. This approach might lead to improved weight loss maintenance and glycaemic control. Future research should focus on better understanding the individual response to dietary treatment and translating these findings into clinical practice.
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Affiliation(s)
- Faidon Magkos
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg Campus, Copenhagen, Denmark
| | - Mads F Hjorth
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg Campus, Copenhagen, Denmark
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Frederiksberg Campus, Copenhagen, Denmark.
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24
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Fukase A, Fukui T, Sasamori H, Hiromura M, Terasaki M, Mori Y, Hayashi T, Yamamoto T, Ohara M, Goto S, Nagaike H, Hirano T, Yamagishi S. Pancreatic fat accumulation evaluated by multidetector computed tomography in patients with type 2 diabetes. J Diabetes Investig 2020; 11:1188-1196. [PMID: 32129002 PMCID: PMC7477536 DOI: 10.1111/jdi.13243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/07/2020] [Accepted: 02/25/2020] [Indexed: 12/19/2022] Open
Abstract
AIMS To clarify the clinical impact of pancreatic fat volume on beta cell function in type 2 diabetes patients. MATERIALS AND METHODS One hundred thirty two consecutive type 2 diabetic patients (mean age, 63.7 years) were enrolled in this cross-sectional study. Total pancreatic volume (TPV), pancreatic fat volume (PFV), and pancreatic parenchymal volume (PPV), and visceral fat volume were examined quantitatively with multidetector computed tomography using SYNAPSE VINCENT image analysis system (Fujifilm Inc., Tokyo, Japan). Pancreatic fat was identified using Hounsfield Units of less than zero. The capacity of insulin secretion was assessed by C-peptide immunoreactivity (CPR) index (100 × fasting CPR/fasting plasma glucose). Insulin sensitivity was evaluated using CPR-insulin resistance (20/fasting CPR × fasting plasma glucose). RESULTS TPV, PFV, PPV, and visceral fat volume were significantly correlated with body weight (BW). PPV/BW, but not PFV/BW, significantly decreased with increasing duration of diabetes and aging. PFV/BW was positively associated with body mass index and visceral fat volume/BW. PFV/BW was significantly correlated with CPR index, while inversely associated with insulin sensitivity. CPR index, but not CPRinsulin resistance was progressively decreased in patients with a longer duration of diabetes. When patients were divided into two groups according to a median PFV/BW value, CPR index in high PFV/BW group with diabetes duration >5 years was significantly lower than those ≤5 years. However, duration-dependent decrease in CPR index was not observed in low PFV/BW group. CONCLUSIONS Our present study suggests that PFV might predict the progression of beta cell dysfunction in patients with type 2 diabetes.
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Affiliation(s)
- Ayako Fukase
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Tomoyasu Fukui
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Hiroto Sasamori
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
- Alzclinic Pet LabTokyoJapan
| | - Munenori Hiromura
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Michishige Terasaki
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Yusaku Mori
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Toshiyuki Hayashi
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Takeshi Yamamoto
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Makoto Ohara
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Satoshi Goto
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Hiroe Nagaike
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
| | - Tsutomu Hirano
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
- Ebina Memorial HospitalEbinaJapan
| | - Sho‐ichi Yamagishi
- Division of Diabetes, Metabolism and EndocrinologyDepartment of MedicineShowa University School of MedicineTokyoJapan
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25
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Pieńkowska J, Brzeska B, Kaszubowski M, Kozak O, Jankowska A, Szurowska E. The correlation between the MRI-evaluated ectopic fat accumulation and the incidence of diabetes mellitus and hypertension depends on body mass index and waist circumference ratio. PLoS One 2020; 15:e0226889. [PMID: 31986155 PMCID: PMC6984689 DOI: 10.1371/journal.pone.0226889] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 12/07/2019] [Indexed: 12/19/2022] Open
Abstract
The widespread presence of overweight and obesity increases with every decade, and the number of people with body mass index (BMI) >30 kg/m2 has doubled in the last 30 years. The aim of the study is to assess the correlation between MRI-evaluated ectopic fat accumulation in pancreas, skeletal muscles and liver and the incidence of type 2 diabetes and hypertension, depending on BMI and waist circumference ratio. This prospective study included 267 consecutive patients who were referred to abdominal MRI and underwent a standard clinical assessment with BMI and waist circumference ratio calculation. Ectopic fat accumulation in pancreas, skeletal muscles and liver was evaluated in magnetic resonance imaging using the fat-water separated Dixon imaging. There were statistically significant differences in mean steatosis of all assessed organs in the group of patients with type 2 diabetes or hypertension in comparison to the non-diabetic group as well as to the group without hypertension. It has been observed that pancreas and skeletal muscles are more susceptible to fat accumulation than liver. According to our results, there is a relation between the fat content in muscles, pancreas and liver, the incidence of type 2 diabetes and hypertension and also body mass index and waist circumference ratio. We believe that future studies should aim to determine whether the use of fat content measurement in certain organs could be used as a biomarker that can enable early detection of reversible metabolic changes, as well as their subsequent monitoring.
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Affiliation(s)
- Joanna Pieńkowska
- II Department of Radiology – Faculty of Health Sciences, Medical University of Gdansk, Gdansk, Poland
- * E-mail:
| | - Beata Brzeska
- II Department of Radiology – Faculty of Health Sciences, Medical University of Gdansk, Gdansk, Poland
- Department of Biology and Pharmaceutical Botany, Faculty of Pharmacy, Medical University of Gdansk, Gdansk, Poland
- Department of Human Physiology, Faculty of Health Sciences, Medical University of Gdansk, Gdansk, Poland
| | - Mariusz Kaszubowski
- Institute of Statistics, Department of Economic Sciences, Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland
| | - Oliwia Kozak
- I Department of Radiology – Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland
| | - Anna Jankowska
- Department of Radiology, University Clinical Centre in Gdansk, Gdansk, Poland
| | - Edyta Szurowska
- II Department of Radiology – Faculty of Health Sciences, Medical University of Gdansk, Gdansk, Poland
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26
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Li YX, Sang YQ, Sun Y, Liu XK, Geng HF, Zha M, Wang B, Teng F, Sun HJ, Wang Y, Qiu QQ, Zang X, Wang Y, Wu TT, Jones PM, Liang J, Xu W. Pancreatic Fat is not significantly correlated with β-cell Dysfunction in Patients with new-onset Type 2 Diabetes Mellitus using quantitative Computed Tomography. Int J Med Sci 2020; 17:1673-1682. [PMID: 32714070 PMCID: PMC7378671 DOI: 10.7150/ijms.46395] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 06/19/2020] [Indexed: 12/14/2022] Open
Abstract
Objective: Type 2 diabetes mellitus (T2DM) is a chronic condition resulting from insulin resistance and insufficient β-cell secretion, leading to improper glycaemic regulation. Previous studies have found that excessive fat deposits in organs such as the liver and muscle can cause insulin resistance through lipotoxicity that affects β-cell function. The relationships between fat deposits in pancreatic tissue, the function of β-cells, the method of visceral fat evaluation and T2DM have been sought by researchers. This study aims to elucidate the role of pancreatic fat deposits in the development of T2DM using quantitative computed tomography (QCT), especially their effects on islet β-cell function. Methods: We examined 106 subjects at the onset of T2DM who had undergone abdominal QCT. Estimated pancreatic fat and liver fat were quantified using QCT and calculated. We analysed the correlations with Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) scores and other oral glucose tolerance test-derived parameters that reflect islet function. Furthermore, correlations of estimated pancreatic fat and liver fat with the area under the curve for insulin (AUCINS) and HOMA-IR were assessed with partial correlation analysis and demonstrated by scatter plots. Results: Associations were found between estimated liver fat and HOMA-IR, AUCINS, the modified β-cell function index (MBCI) and Homeostatic Model Assessment β (HOMA-β). However, no significant differences existed between estimated pancreas fat and those parameters. Similarly, after adjustment for sex, age and body mass index, only estimated liver fat was correlated with HOMA-IR and AUCINS. Conclusions: This study suggests no significant correlation between pancreatic fat deposition and β-cell dysfunction in the early stages of T2DM using QCT as a screening tool. The deposits of fat in the pancreas and the resulting lipotoxicity may play an important role in the late stage of islet cell function dysfunction as the course of T2DM progresses.
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Affiliation(s)
- Y X Li
- Graduate School of Bengbu Medical College, Bengbu, Anhui, China.,Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Y Q Sang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Yan Sun
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - X K Liu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - H F Geng
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Min Zha
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Jiangsu, China
| | - Ben Wang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Fei Teng
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - H J Sun
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Yu Wang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Q Q Qiu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Xiu Zang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Yun Wang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - T T Wu
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Peter M Jones
- Diabetes Research Group, Division of Diabetes & Nutritional Sciences, School of Medicine, King's College London, London, UK
| | - Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China
| | - Wei Xu
- Graduate School of Bengbu Medical College, Bengbu, Anhui, China.,Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Institute of Medical Sciences, Xuzhou Clinical School of Nanjing Medical University, Affiliated Hospital of Medical School of Southeast University, Jiangsu, China.,Diabetes Research Group, Division of Diabetes & Nutritional Sciences, School of Medicine, King's College London, London, UK
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27
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Liu X, Zhang J, Wu J, Xu X, Tao L, Sun Y, Chen S, Han Y, Luo Y, Yang X, Guo X. The Impact of BMI Categories on Metabolic Abnormality Development in Chinese Adults Who are Metabolically Healthy: A 7-Year Prospective Study. Diabetes Metab Syndr Obes 2020; 13:819-834. [PMID: 32256097 PMCID: PMC7090202 DOI: 10.2147/dmso.s237550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 03/06/2020] [Indexed: 12/11/2022] Open
Abstract
PURPOSE To determine what metabolic abnormalities develop frequently among metabolically healthy adults over time according to different baseline body mass index (BMI) categories. PATIENTS AND METHODS A prospective cohort study was performed on 10,805 adults, who were metabolically healthy at the time of the 2008 survey. Participants were divided into four groups: metabolically healthy obese (MHO), metabolically healthy overweight (MHOW), metabolically healthy normal-weight (MHN), and metabolically healthy underweight (MHU). Modified Poisson regression models were used to evaluate the relationship of BMI with the development of metabolic abnormalities. Association rule mining was used to identify the most frequent abnormalities that developed over time. RESULTS Compared with the MHN group, the adjusted relative risks of the MHO group were 1.57 (95% CI: 1.09-2.27) and 2.08 (95% CI: 1.59-2.73) for developing elevated fasting glucose and elevated blood pressure, respectively, after adjusting for lifestyle behaviours and dietary factors. At the end of follow-up, 33 (19.1%) MHO subjects and 342 (16.6%) MHOW subjects had elevated blood pressure as the predominant metabolic syndrome component, whereas 236 (9.0%) MHU subjects had elevated plasma glucose. The results were similar after stratification by sex. CONCLUSION MHO and MHOW subjects developed elevated blood pressure most frequently, and MHU subjects developed elevated blood glucose most commonly, regardless of sex.
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Affiliation(s)
- Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
| | - Jingbo Zhang
- Beijing Physical Examination Center, Beijing, People’s Republic of China
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, PA, USA
| | - Xiaolin Xu
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Lixin Tao
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
| | - Yue Sun
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
| | - Shuo Chen
- Beijing Physical Examination Center, Beijing, People’s Republic of China
| | - Yumei Han
- Beijing Physical Examination Center, Beijing, People’s Republic of China
| | - Yanxia Luo
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
| | - Xinghua Yang
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, People’s Republic of China
- Correspondence: Xiuhua Guo School of Public Health, Capital Medical University, No. 10 Xitoutiao, You Anmen, Fengtai District, Beijing100069, People’s Republic of China Tel/Fax +86 010 8391 1508 Email
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