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Srikrajang S, Komolsuradej N. Association between Height-Changing Scores and Risk of Sarcopenia Estimated from Anthropometric Measurements in Older Adults: A Cross-Sectional Study. Healthcare (Basel) 2024; 12:1005. [PMID: 38786415 PMCID: PMC11121361 DOI: 10.3390/healthcare12101005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/06/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024] Open
Abstract
Anthropometric assessments are commonly used to diagnose sarcopenia in older adults. However, the ongoing exploration of novel approaches aims to improve the early detection of sarcopenia. This study investigated the association between the height-changing score (HCS) and the risk of sarcopenia defined by anthropometric measurements in 340 older adults (mean age: 66.2 years). The HCS derived from the difference in height and demi-span equivalent height (DEH) was used as an indicator of declining height in the older adults. Multivariate logistic regression analysis revealed a significant association between the HCS and the risk of sarcopenia in both male and female older adults (OR = 1.146, 95% CI [1.021, 1.286], p = 0.021). In addition, income, BMI, and nutritional status were significantly associated with the risk of sarcopenia (OR = -1.933, 95% CI [0.271, 0.986], p = 0.045; OR = -2.099, 95% CI [0.386, 0.587], p < 0.001; OR = -1.443, 95% CI [0.555, 0.866], p = 0.001, respectively). The white blood cell count, lymphocyte count, and HDL cholesterol were blood biomarkers significantly correlated with calf circumference. It can be suggested that the HCS acts as an indicator and screening tool for sarcopenia risk in older adults, highlighting the potential impact of decreased height on muscle mass loss. Encouraging nutritional support can help mitigate the risk of sarcopenia.
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Affiliation(s)
- Siwaluk Srikrajang
- Department of Physical Therapy, Faculty of Medicine, Prince of Songkla University, 15 Kanchanavanich Road, Songkhla 90110, Thailand;
| | - Narucha Komolsuradej
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, 15 Kanchanavanich Road, Songkhla 90110, Thailand
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Palmas F, Mucarzel F, Ricart M, Lluch A, Zabalegui A, Melian J, Guerra R, Rodriguez A, Roson N, Ciudin A, Burgos R. Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer. Front Nutr 2024; 11:1372816. [PMID: 38694226 PMCID: PMC11062347 DOI: 10.3389/fnut.2024.1372816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/09/2024] [Indexed: 05/04/2024] Open
Abstract
Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Body composition (BC) data are of great importance in the assessment of nutritional status. Ultrasound (US) is an emerging, accessible and non-invasive technique that could be an alternative when it is not feasible to perform computed tomography (CT). The aim of this study is to evaluate the correlation between CT, as a reference technique, and US of the rectus femoris (RF) as a "proof of concept," in a cohort of patients with CRC and assess the optimisation of results obtained by US when performed by our new semi-automated tool. A single-centre cross-sectional study including 174 patients diagnosed with CRC and undergoing surgery was carried out at the Vall d'Hebron Hospital. We found a strong correlation between CT and US of the RF area (r = 0.67; p < 0.005). The latter, is able to discriminate patients with worse prognosis in terms of length of hospital stay and discharge destination (AUC-ROC = 0.64, p 0.015). These results improve when they are carried out with the automatic tool (area AUC-ROC = 0.73, p 0.023), especially when normalised by height and eliminating patients who associate overflow. According to our results, the US could be considered as a valuable alternative for the quantitative assessment of muscle mass when CT is not feasible. These measurements are improved when measuring software is applied, such as "Bat" software.
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Affiliation(s)
- Fiorella Palmas
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Fernanda Mucarzel
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Marta Ricart
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Amador Lluch
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Alba Zabalegui
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Jose Melian
- ARTIS Development, Las Palmasde Gran Canaria, Spain
| | - Raul Guerra
- ARTIS Development, Las Palmasde Gran Canaria, Spain
| | - Aitor Rodriguez
- Department of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Nuria Roson
- Department of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Andreea Ciudin
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rosa Burgos
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
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Catikkas NM, Safer VB, Bas S, Gunay DS, Durak A, Utku IK, Safer U. Comparison of muscle and fat parameters measured by ultrasonography and dual-energy x-ray absorptiometry between older palliative care patients with and without type 2 diabetes mellitus. JOURNAL OF CLINICAL ULTRASOUND : JCU 2024. [PMID: 38600828 DOI: 10.1002/jcu.23688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/09/2024] [Accepted: 03/31/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND AND AIMS There are limited data on the comparison of body compositions between diabetic and non-diabetic patients. We aimed to compare the muscle mass and fat parameters measured by ultrasonography (USG) and dual-energy x-ray absorptiometry (DXA) between older palliative care patients with and without type 2 diabetes mellitus (DM). METHODS We conducted a prospective, cross-sectional study. We recorded the demographics, comorbidities, blood pressures, microvascular complications, pressure injuries, ambulation and nutritional status, and laboratory parameters. We measured the handgrip strength with a hand dynamometer and anthropometric parameters. We analyzed the subcutaneous fat thickness, muscle thickness (MT), and cross-sectional area (CSA) of the rectus femoris (RF) and biceps brachii muscles by USG and the total and regional muscle mass and fat parameters by DXA. We performed a regression analysis to examine the independently associated factors of DM. RESULTS We included 55 patients (mean age: 79.0 ± 8.0 years, 56.4%: female). 43.6% had type 2 DM. The patients with DM had significantly higher glucose and HbA1c levels and lower RFMT and RFCSA values than the patients without DM (p < 0.01, for all). The RFMT was independently associated with DM after adjusting age, sex, and body mass index (Odds ratio = 0.735, 95% confidence interval = 0.565-0.956, p = 0.022). CONCLUSION Our study demonstrated that the RFMT might be associated with type 2 DM. This was the first study comparing the body compositions measured by USG and DXA between older diabetic and non-diabetic palliative patients with a wide range of laboratory evaluations. Longitudinal, multi-center studies are warranted to understand the underlying mechanisms.
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Affiliation(s)
- Nezahat Muge Catikkas
- Division of Geriatrics, Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Vildan Binay Safer
- Department of Physical Medicine and Rehabilitation, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Suleyman Bas
- Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Deniz Sevindik Gunay
- Division of Geriatrics, Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Ayfer Durak
- Division of Geriatrics, Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Irem Kirac Utku
- Division of Geriatrics, Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
| | - Umut Safer
- Division of Geriatrics, Department of Internal Medicine, Hamidiye Faculty of Medicine, Sancaktepe Prof. Dr. Ilhan Varank Training and Research Hospital, University of Health Sciences Istanbul, Istanbul, Turkey
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Wu H, Gu Y, Wang X, Meng G, Rayamajhi S, Thapa A, Zhang Q, Liu L, Zhang S, Zhang T, Cao Z, Dong J, Zheng X, Zhang X, Dong X, Wang X, Sun S, Jia Q, Song K, Huang J, Huo J, Zhang B, Ding G, Niu K. Association Between Handgrip Strength and Type 2 Diabetes: A Prospective Cohort Study and Systematic Review With Meta-analysis. J Gerontol A Biol Sci Med Sci 2023; 78:1383-1391. [PMID: 36504134 DOI: 10.1093/gerona/glac241] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Both absolute (kg) and relative (kg per kg of body weight) handgrip strength (HGS) have been used as indicators of HGS. Multiple studies have explored HGS associations with type 2 diabetes (T2DM); however, prognostic values were inconsistent. We aimed to examine the associations between both absolute and relative HGS and incident T2DM. METHODS A total of 12,957 participants aged 40 years and older (mean age 51.0 years, 58.4% men) were followed and enrolled in the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study. Cox proportional hazards regression models were used to examine the association of HGS with incident T2DM. Other prospective studies on HGS and risk of T2DM were identified by searching several electronic databases up to November 31, 2021. Meta-analysis was performed by combining the results from the TCLSIH study and previous prospective cohort studies. RESULTS From the TCLSIH Cohort study, after adjustment, relative HGS was inversely associated with T2DM (hazard ratio per 0.1 higher relative HGS 0.667, 95% confidence interval [CI] 0.616, 0.722). However, no significant association between absolute HGS and incident T2DM was found. The meta-analyses showed that per 5 kg higher HGS was associated with a 5% (95% CI 2%, 8%) lower risk of T2DM and each 0.1 higher relative HGS was associated with a 22% (95% CI 14%, 29%) lower risk of T2DM. CONCLUSION The results from our cohort study and meta-analysis suggest that relative HGS was better than absolute HGS in predicting incident T2DM. Adiposity was an important factor that mediates the association between HGS and T2DM.
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Affiliation(s)
- Hongmei Wu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yeqing Gu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xuena Wang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sabina Rayamajhi
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Amrish Thapa
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shunming Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhixia Cao
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jun Dong
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxi Zheng
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xu Zhang
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinrong Dong
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Jian Huang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Junsheng Huo
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Gangqiang Ding
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health, Beijing, China
| | - Kaijun Niu
- Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
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Alabadi B, Civera M, De la Rosa A, Martinez-Hervas S, Gomez-Cabrera MC, Real JT. Low Muscle Mass Is Associated with Poorer Glycemic Control and Higher Oxidative Stress in Older Patients with Type 2 Diabetes. Nutrients 2023; 15:3167. [PMID: 37513585 PMCID: PMC10383462 DOI: 10.3390/nu15143167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Body composition changes that occur during aging, such as loss of lean mass, are unfavorable at metabolic level and they can explain, in part, the appearance of certain age-associated diseases such as type 2 diabetes (T2D). Separately, T2D is associated with an increase in oxidative stress (OS) which negatively affects skeletal muscle. Our aim was to study the differences in clinical and nutritional parameters, disease control, and OS in a cohort of older patients with T2D classified according to the amount of lean mass they had. We included 100 adults older than 65 years with T2D. We found that women with low fat-free mass and muscle mass have worse T2D metabolic control. Moreover, the patients with a low percentile of muscle mass present a high value of OS. The study shows that the presence of low lean mass (LM) in the geriatric population diagnosed with T2D is associated with poorer glycemic control and greater OS.
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Affiliation(s)
- Blanca Alabadi
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), ISCIII, 28029 Madrid, Spain
| | - Miguel Civera
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Adrián De la Rosa
- Laboratory of Applied Sciences of Sport and Innovation Research Group (GICED), Unidades Tecnológicas de Santander (UTS), Bucaramanga 680006, Colombia
- Freshage Research Group, Department of Physiology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Sergio Martinez-Hervas
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), ISCIII, 28029 Madrid, Spain
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Mari Carmen Gomez-Cabrera
- Freshage Research Group, Department of Physiology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, 28029 Madrid, Spain
| | - José T Real
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), ISCIII, 28029 Madrid, Spain
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
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Smith-Ryan AE, Hirsch KR, Cabre HE, Gould LM, Gordon AN, Ferrando AA. Menopause Transition: A Cross-Sectional Evaluation on Muscle Size and Quality. Med Sci Sports Exerc 2023; 55:1258-1264. [PMID: 36878186 DOI: 10.1249/mss.0000000000003150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
INTRODUCTION The menopause transition yields significant physiological alterations. The purpose was to characterize lean soft tissue (LST), muscle size (muscle cross-sectional area (mCSA)), muscle quality (echo intensity (EI)), and strength across the menopause transition. A secondary aim was to evaluate whole-body protein turnover in a subsample of women. METHODS Seventy-two healthy women were enrolled in this cross-sectional study based on menopause stage (PRE: n = 24; PERI: n = 24; POST: n = 24). Whole-body LST was measured via dual-energy x-ray absorptiometry, and muscle characteristics (mCSA and EI) were measured via B-mode ultrasound of the vastus lateralis. Maximal voluntary contractions (N·m) of the knee extensors were evaluated. Physical activity (in minutes per day) was accounted for using the International Physical Activity Questionnaire. A subsample of women ( n = 27) ingested 2.0 g of 15 N-alanine to determine whole-body net protein balance (NB; in grams per kilogram of body mass per day). RESULTS Significant differences were evident in LST ( P = 0.022), leg LST ( P = 0.05), and EI ( P = 0.018) between menopause stages. Bonferroni post-hoc comparisons revealed greater LST in PRE versus PERI (mean difference (MD) ± SE, 3.8 ± 1.5 kg; P = 0.048) and POST (3.9 ± 1.5 lb; P = 0.049). Similarly, EI was significantly higher in PERI PRE (MD, 18.3 ± 7.1 a.u.; P = 0.036). There was no significant difference in mCSA ( P = 0.082) or in maximal voluntary contraction ( P = 0.167). NB was significantly different across groups ( P = 0.026); NB was greater in PRE compared with PERI (MD, 0.39 ± 0.17 g·kg -1 ; P = 0.090), and from PRE to POST (MD, 0.46 ± 0.17 g·kg -1 ; P = 0.042). Physical activity was not significantly different across groups but demonstrated a linear increase from PRE to POST. CONCLUSIONS The current findings suggest that LST, muscle quality, and protein balance may be negatively influenced by the menopause transition.
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Affiliation(s)
| | - Katie R Hirsch
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | | | - Lacey M Gould
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Amanda N Gordon
- Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Arny A Ferrando
- Department of Geriatrics, Donald W. Reynolds Institute on Aging, Center for Translational Research in Aging & Longevity, University of Arkansas for Medical Sciences, Little Rock, AR
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Goffaux A, Delorme A, Dahlqvist G, Lanthier N. Improving the prognosis before and after liver transplantation: Is muscle a game changer? World J Gastroenterol 2022; 28:5807-5817. [PMID: 36353207 PMCID: PMC9639652 DOI: 10.3748/wjg.v28.i40.5807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/30/2022] [Accepted: 10/11/2022] [Indexed: 02/06/2023] Open
Abstract
Liver transplantation (LT) is currently the only curative treatment option for selected patients with end stage liver disease or hepatocellular carcinoma. Improving waiting list-mortality, post-transplant morbidity and mortality and refining the selection of the patients remain our current central objectives. In this field, different concepts dealing with nutrition and the muscle such as sarcopenia, malnutrition, frailty or myosteatosis have emerged as possible game changers. For more than a decade, many prospective studies have demonstrated that sarcopenia and frailty are major predictive factors of mortality in the waiting list but also after LT. Malnutrition is also a well-known risk factor for morbidity and mor-tality. Muscle composition is a newer concept giving insight on muscle quality which has also been shown to be linked to poorer outcomes. Each of these terms has a precise definition as well as pathophysiological mechanisms. The bi-directional liver-muscle axis makes sense in this situation. Defining the best, easy to use in clinical practice tools to assess muscle quality, quantity, and function in this specific population and developing quality prospective studies to identify interventional strategies that could improve these parameters as well as evaluate the effect on mortality are among the important challenges of today.
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Affiliation(s)
- Alexis Goffaux
- Laboratory of Hepato-Gastroenterology, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels 1200, Belgium
- Service d’Hépato-Gastroentérologie, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels 1200, Belgium
| | - Alicia Delorme
- Service d’Hépato-Gastroentérologie, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels 1200, Belgium
| | - Géraldine Dahlqvist
- Service d’Hépato-Gastroentérologie, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels 1200, Belgium
| | - Nicolas Lanthier
- Laboratory of Hepato-Gastroenterology, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels 1200, Belgium
- Service d’Hépato-Gastroentérologie, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels 1200, Belgium
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Bell KE, Paris MT, Avrutin E, Mourtzakis M. Altered features of body composition in older adults with type 2 diabetes and prediabetes compared with matched controls. J Cachexia Sarcopenia Muscle 2022; 13:1087-1099. [PMID: 35174664 PMCID: PMC8978006 DOI: 10.1002/jcsm.12957] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 12/08/2021] [Accepted: 02/01/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Ageing is accompanied by muscle loss and fat gain, which may elevate the risk of type 2 diabetes (T2D). However, there is a paucity of data on the distribution of regional lean and fat tissue in older adults with T2D or prediabetes compared with healthy controls. The objective of this study was to compare regional body composition [by dual-energy x-ray absorptiometry (DXA)], muscle and subcutaneous adipose tissue (SAT) thicknesses (by ultrasound), and ultrasound-based muscle texture features in older adults with T2D or prediabetes compared with normoglycaemic controls. METHODS Eighteen adults > 60 years with T2D or prediabetes (T2D group) were individually matched to normoglycaemic participants [healthy matched (HM) group] for age (±5 years), sex, and body fat (±2.5%). In a single study visit, all participants received a whole-body DXA scan and ultrasound assessment of the abdomen and anterior thigh. At these two landmarks, we used ultrasound to measure muscle and SAT thickness, as well as texture features of the rectus femoris and rectus abdominis. We also conducted an exploratory subanalysis on a subset of participants (n = 14/18 in the T2D group and n = 10/18 in the HM group) who underwent additional assessments including strength testing of the knee extensors (using a Biodex dynamometer), and a fasting blood sample for the measurement of circulating markers of glucose metabolism [glucose, insulin, c-peptide, and the homoeostatic model assessment of insulin resistance (HOMA-IR)]. RESULTS The T2D group was 72 ± 8 years old (mean ± SD), predominantly male (n = 15/18; 83%), and overweight (BMI: 27.8 ± 4.2 kg/m2 , 33.2 ± 5.3% body fat). DXA-derived upper arm lean mass was 0.4 kg greater (P = 0.034), and leg fat mass was 1.4 kg lower (P = 0.048), in the T2D vs. HM group. Ultrasound-based texture features were distinct between the groups [rectus abdominis blob size: 0.07 ± 0.06 vs. 0.30 ± 0.43 cm2 , P = 0.045; rectus femoris local binary pattern (LBP) entropy: 4.65 ± 0.05 vs. 4.59 ± 0.08 A.U., P = 0.007]. When all participants who underwent additional assessments were pooled (n = 24), we observed that certain ultrasound-based muscle texture features correlated significantly with muscle strength (rectus abdominis histogram skew vs. power during an isokinetic contraction at 60°/s: r = 0.601, P = 0.003) and insulin resistance (rectus femoris LBP entropy vs. HOMA-IR: r = 0.419, P = 0.042). CONCLUSIONS Our findings suggest a novel body composition phenotype specific to older adults with T2D or prediabetes. We are also the first to report that ultrasound-based texture features correspond with functional outcomes. Future larger scale studies are needed to uncover the mechanisms underpinning these regional body composition differences.
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Affiliation(s)
- Kirsten E Bell
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Michael T Paris
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Egor Avrutin
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Marina Mourtzakis
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
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