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Zhu Y, Chen X, Geng S, Li Q, Li Y, Yuan H, Jiang H. Identification of the cuproptosis-related hub genes and therapeutic agents for sarcopenia. Front Genet 2023; 14:1136763. [PMID: 37007946 PMCID: PMC10063920 DOI: 10.3389/fgene.2023.1136763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/28/2023] [Indexed: 03/19/2023] Open
Abstract
Background: Along with acceleration of population aging, the increasing prevalence of sarcopenia has posed a heavy burden on families as well as society. In this context, it is of great significance to diagnose and intervene sarcopenia as early as possible. Recent evidence has indicated the role of cuproptosis in the development of sarcopenia. In this study, we aimed to seek the key cuproptosis-related genes that can be used for identification and intervention of sarcopenia.Methods: The GSE111016 dataset was retrieved from GEO. The 31 cuproptosis-related genes (CRGs) were obtained from previous published studies. The differentially expressed genes (DEGs) and Weighed gene co-expression network analysis (WGCNA) were subsequently analyzed. The core hub genes were acquired by the intersection of DEGs, WGCNA and CRGs. Through logistic regression analysis, we established a diagnostic model of sarcopenia based on the selected biomarkers and was validated in muscle samples from GSE111006 and GSE167186. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analysis were performed on these genes. Furthermore, the gene set enrichment analysis (GSEA), and immune cell infiltration were also conducted on the identified core genes. Finally, we screened the potential drugs targeting the potential biomarkers of sarcopenia.Results: A total of 902 DEGs and WGCNA containing 1,281 significant genes were preliminarily selected. Intersection of DEGs, WGCNA and CRGs yielded four core genes (PDHA1, DLAT, PDHB, and NDUFC1) as potential biomarkers for the prediction of sarcopenia. The predictive model was established and validated with high AUC values. KEGG pathway and Gene Ontology biological analysis indicated these core genes may play a crucial role in energy metabolism in mitochondria, oxidation process, and aging-related degenerative diseases. In addition, the immune cells may be involved in the development of sarcopenia through mitochondrial metabolism. Finally, metformin was identified as a promising strategy of sarcopenia treatment via targeting NDUFC1.Conclusion: The four cuproptosis-related genes PDHA1, DLAT, PDHB and NDUFC1 may be the diagnostic biomarkers for sarcopenia, and metformin holds great potential to be developed as a therapy for sarcopenia. These outcomes provide new insights for better understanding of sarcopenia and innovative therapeutic approaches.
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Affiliation(s)
- Yingqian Zhu
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xin Chen
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shasha Geng
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qingqing Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yang Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Huixiao Yuan
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hua Jiang
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
- *Correspondence: Hua Jiang,
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Jones RL, Paul L, Steultjens MPM, Smith SL. Biomarkers associated with lower limb muscle function in individuals with sarcopenia: a systematic review. J Cachexia Sarcopenia Muscle 2022; 13:2791-2806. [PMID: 35977879 PMCID: PMC9745467 DOI: 10.1002/jcsm.13064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/10/2022] [Accepted: 07/04/2022] [Indexed: 12/15/2022] Open
Abstract
Lower limb muscle dysfunction is a key driver for impaired physical capacity and frailty status, both characteristics of sarcopenia. Sarcopenia is the key pathway between frailty and disability. Identifying biological markers for early diagnosis, treatment, and prevention may be key to early intervention and prevention of disability particularly mobility issues. To identify biological markers associated with lower limb muscle (dys)function in adults with sarcopenia, a systematic literature search was conducted in AMED, CINAHL, Cochrane Library, EMBASE, Medline, PubMed, Scopus, SPORTDiscus, and Web of Science databases from inception to 17 November 2021. Title, abstract, and full-text screening, data extraction, and methodological quality assessment were performed by two reviewers independently and verified by a third reviewer. Depending on available data, associations are reported as either Pearson's correlations, regression R2 or partial R2 , P value, and sample size (n). Twenty eligible studies including 3306 participants were included (females: 79%, males: 15%, unreported: 6%; mean age ranged from 53 to 92 years) with 36% in a distinct sarcopenic subgroup (females: 73%, males: 19%, unreported: 8%; mean age range 55-92 years). A total of 119 biomarkers were reported, categorized into: genetic and microRNAs (n = 64), oxidative stress (n = 10), energy metabolism (n = 18), inflammation (n = 7), enzyme (n = 4), hormone (n = 7), bone (n = 3), vitamin (n = 2), and cytokine (n = 4) markers) and seven lower limb muscle measures predominately focused on strength. Seven studies reported associations between lower limb muscle measures including (e.g. power, force, and torque) and biomarkers. In individuals with sarcopenia, muscle strength was positively associated with free testosterone (r = 0.40, P = 0.01; n = 46). In analysis with combined sarcopenic and non-sarcopenic individuals, muscle strength was positively associated with combined genetic and methylation score (partial R2 = 0.122, P = 0.03; n = 48) and negatively associated with sarcopenia-driven methylation score (partial R2 = 0.401, P < 0.01; n = 48). Biomarkers related to genetics (R2 = 0.001-0.014, partial R2 = 0.013-0.122, P > 0.05; n = 48), oxidative stress (r = 0.061, P > 0.05; n ≥ 77), hormone (r = 0.01, ρ = 0.052 p > 0.05, n ≥ 46) and combined protein, oxidative stress, muscle performance, and hormones (R2 = 22.0, P > 0.05; n ≥ 82) did not report significant associations with lower limb muscle strength. Several biomarkers demonstrated associations with lower limb muscle dysfunction. The current literature remains difficult to draw clear conclusions on the relationship between biomarkers and lower limb muscle dysfunction in adults with sarcopenia. Heterogeneity of biomarkers and lower limb muscle function precluded direct comparison. Use of international classification of sarcopenia and a set of core standardized outcome measures should be adopted to aid future investigation and recommendations to be made.
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Affiliation(s)
- Rebecca Louise Jones
- Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, UK.,Health Advancement Research Team (HART), School of Sport and Exercise Science, University of Lincoln, Lincoln, UK
| | - Lorna Paul
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Martijn P M Steultjens
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Stephanie Louise Smith
- Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK.,Pain Centre Versus Arthritis, University of Nottingham, Nottingham, UK.,Academic Rheumatology, Division of Injury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, UK.,NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
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Gholizade M, Farhadi A, Marzban M, Mahmudpour M, Nabipour I, Kalantarhormozi M, Shafiee G, Ostovar A, Larijani B, Darabi AH, Safavi E. Association between platelet, white blood cell count, platelet to white blood cell ratio and sarcopenia in community-dwelling older adults: focus on Bushehr Elderly Health (BEH) program. BMC Geriatr 2022; 22:300. [PMID: 35395731 PMCID: PMC8991783 DOI: 10.1186/s12877-022-02954-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sarcopenia is a progressive age-related skeletal muscle disorder associated with harmful impacts on health. The present study aimed to investigate the relation between sarcopenia, platelet (PLT), white blood cell (WBC), and PLT to WBC ratio (PWR) due to the importance of early sarcopenia diagnosis. METHODS This cross-sectional study was conducted based on the second stage of the Bushehr Elderly Health (BEH) Program. Sarcopenia was defined based on the revised edition of the European Working Group on Sarcopenia in Older People (EWGSOP2) in accordance with the Iranian cut-off point. Univariate and adjusted multivariate logistic regression and linear regression were used to evaluate the associations. RESULTS The prevalence of sarcopenia among participants was 35.73%. PLT count and PWR were statistically higher in severe sarcopenic participants, while no differences were seen in WBC. In crude analysis, sarcopenia was not associated with quartiles of PLT, WBC, and PWR, while after adjusting for age, marital status, and sex, the association was seen in the fourth quartile of PLT and PWR [OR (95%CI) = 1.40 (1.08 to 1.81), p-value = 0.009 for PLT; OR (95%CI) =1.55 (1.20 to 2.00), p-value =0.001 for PWR]. This association remained significant in the fully adjusted model [OR (95%CI) =1.82 (1.20 to 2.78), p-value =0.005 for PLT; OR (95%CI) =1.57 (1.03 to 2.40), p-value =0.035 for PWR]. Among sarcopenia parameters, PLT count was more likely to be associated with handgrip strength and muscle mass. After stratifying the participants by gender, sarcopenia parameters were no longer statistically significant in men. CONCLUSION This study showed that PLT and PWR were associated with sarcopenia after considering confounding factors, while this association was not seen in WBC. Moreover, results showed that gender had an important impact on sarcopenia parameters.
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Affiliation(s)
- Mohamad Gholizade
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Akram Farhadi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.,Department of Health Education and Promotion, Faculty of Health, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Maryam Marzban
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran. .,Department of Biostatistics and Epidemiology, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran.
| | - Mehdi Mahmudpour
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Iraj Nabipour
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Mohammadreza Kalantarhormozi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.,Department of Internal Medicine, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Darabi
- The Persian Gulf Tropical Medicine Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Eisa Safavi
- Department of Paraclinic, Bushehr University of Medical Sciences, Bushehr, Iran
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Picca A, Coelho-Junior HJ, Calvani R, Marzetti E, Vetrano DL. Biomarkers shared by frailty and sarcopenia in older adults: A systematic review and meta-analysis. Ageing Res Rev 2022; 73:101530. [PMID: 34839041 DOI: 10.1016/j.arr.2021.101530] [Citation(s) in RCA: 101] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 11/04/2021] [Accepted: 11/21/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Physical frailty and sarcopenia show extensive clinical similarities. Whether biomarkers exist that are shared by the two conditions is presently unclear. METHODS We conducted a systematic review and meta-analysis of cross-sectional and longitudinal studies that investigated the association of frailty and/or sarcopenia with biomarkers as a primary or secondary outcome in adults aged 60 years and older. Only studies published in English that defined frailty using a validated scale and/or questionnaire and diagnosed sarcopenia according to the presence of muscle atrophy plus dynapenia or low physical function were included. Studies were identified from a systematic search of MEDLINE and SCOPUS databases from inception through August 2020. The quality of reporting of each study was assessed by using the Quality Assessment Tool for Observational Cohort, Cross-Sectional and Case-Control studies of the National Institute of Health. A meta-analysis was conducted when at least three studies investigated the same biomarker in both frailty and sarcopenia. Pooled effect size was calculated based on standard mean differences and random-effect models. Sensitivity analysis was performed based on age and the setting where the study was conducted. RESULTS Eighty studies (58 on frailty and 22 on sarcopenia) met the inclusion criteria and were included in the qualitative analysis. Studies on frailty included 33,160 community-dwellers, hospitalized, or institutionalized older adults (60-88 years) from 21 countries. Studies on sarcopenia involved 4904 community-living and institutionalized older adults (68-87.6 years) from 9 countries. Several metabolic, inflammatory, and hematologic markers were found to be shared between the two conditions. Albumin and hemoglobin were negatively associated with both frailty and sarcopenia. Interleukin 6 was associated with frailty and sarcopenia only in people aged < 75. Community-dwelling older adults with frailty and sarcopenia had higher levels of tumor necrosis factor alpha compared with their robust and non-sarcopenic counterparts. CONCLUSIONS A set of metabolic, hematologic, and inflammatory biomarkers was found to be shared by frailty and sarcopenia. These findings fill a knowledge gap in the quest of biomarkers for these conditions and provide a rationale for biomarker selection in studies on frailty and sarcopenia.
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Affiliation(s)
- Anna Picca
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | | | - Riccardo Calvani
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Emanuele Marzetti
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore, Department of Geriatrics and Orthopedics, Rome, Italy
| | - Davide Liborio Vetrano
- Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Wong A, Huang Y, Sowa PM, Banks MD, Bauer JD. Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years. PROCEEDINGS OF SINGAPORE HEALTHCARE 2021. [DOI: 10.1177/2010105820964829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: There is currently no review published on the prevalence and incidence of malnutrition in Singapore across various populations, or what interventions or policies are in place for preventing/treating malnutrition. Objectives: This review aims to determine the: (a) incidence and prevalence of malnutrition in the community, and in acute, intermediate and long-term care facilities; (b) interventions implemented for screening, assessing and treating/preventing malnutrition; (c) specific clinical populations investigated for malnutrition or nutritional therapy; and (d) implications of malnutrition and effectiveness of treating malnutrition or using nutritional therapy in Singapore. Methods: A structured search strategy was applied to available electronic databases (MEDLINE/PubMed, EMBASE, CINAHL, the Cochrane Library and Google Scholar) using selected search terms, with additional reports and grey literature identified using iterative searches. Results: Forty-two articles were found, with the majority of research performed in the community and acute care settings. Malnutrition screening and assessment is the most common nutritional research performed in Singapore. Approximately 14.7% to 65.0% of acute care and 2.8% to 31.5% of community populations are found to be malnourished. Limited interventional and economic-related studies are available. Conclusion: Malnutrition rates in Singapore appear to be similar to other developed countries. Future studies will need to focus on nutritional intervention, cost-effectiveness analyses and specific populations such as the underprivileged, chronically ill and those dependent on nutritional support.
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Affiliation(s)
- Alvin Wong
- Department of Dietetic and Food Services, Changi General Hospital, Singapore
- School of Human Movement and Nutrition Sciences, University of Queensland, Australia
| | - Yingxiao Huang
- Department of Dietetic and Food Services, Changi General Hospital, Singapore
| | - Przemyslaw M Sowa
- Centre for the Business and Economics of Health, University of Queensland, Australia
| | - Merrilyn D Banks
- Department of Nutrition and Dietetics, Royal Brisbane and Women’s Hospital, Australia
| | - Judith D Bauer
- School of Human Movement and Nutrition Sciences, University of Queensland, Australia
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Zhao WY, Zhang Y, Hou LS, Xia X, Ge ML, Liu XL, Yue JR, Dong BR. The association between systemic inflammatory markers and sarcopenia: Results from the West China Health and Aging Trend Study (WCHAT). Arch Gerontol Geriatr 2020; 92:104262. [PMID: 33032183 DOI: 10.1016/j.archger.2020.104262] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 09/03/2020] [Accepted: 09/17/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Increased evidence suggests chronic inflammation is significant in the progression of sarcopenia in older adults. In this study, we aimed to compare the level of systemic inflammation markers (White blood cells, neutrophils, lymphocytes, platelets and their derived ratios) between sarcopenic and non-sarcopenic individuals and investigate the association of these inflammatory markers with sarcopenia. METHODS This cross-sectional study included 4224 adults (1514 men and 2710 women) from the West China Health and Aging Trend (WCHAT) study. Sarcopenia was defined according to the recommended diagnostic algorithm of the Asia Working Group for Sarcopenia (AWGS). The value of systemic inflammatory markers was based on laboratory data. Multiple logistic regression analysis was used to explore the association between inflammatory markers and sarcopenia after adjusting for covariates. RESULTS Among 4224 participants (mean age 62.3 ± 8.2 years, 64.2 % women), 814 (19.3 %) were diagnosed as sarcopenia. After adjusting for potential confounders, logistic regression analysis indicated that neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) were significantly associated with sarcopenia. Participants in the highest NLR, PLR and SII value group had higher odds for sarcopenia than those in the lowest value group (OR [95 %CI]: 1.233 [1.002,1.517], 1.455 [1.177,1.799] and 1.268 [1.029,1.561], respectively). CONCLUSIONS Higher NLR, PLR, and SII level are associated with an increased prevalence of sarcopenia in middle-aged and older adults. Since these systemic inflammatory markers are inexpensive and can be obtained easily from routine blood tests, regular follow-up of NLR, PLR and SII may be an effective strategy in sarcopenia screening and management.
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Affiliation(s)
- Wan-Yu Zhao
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Zhang
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Li-Sha Hou
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Xia
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Mei-Ling Ge
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao-Lei Liu
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Ji-Rong Yue
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Bi-Rong Dong
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
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Krakauer NY, Krakauer JC. Association of Body Shape Index (ABSI) with Hand Grip Strength. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6797. [PMID: 32957738 PMCID: PMC7558329 DOI: 10.3390/ijerph17186797] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/12/2022]
Abstract
Hand grip is a leading measure of muscle strength and general health, yet its association with body shape is not well characterized. Here, we examine correlations between grip strength, a body shape index (ABSI), and body mass index (BMI) in the 2011-2014 United States National Health and Nutrition Examination Survey cohorts. Grip strength was found to correlate negatively with ABSI (though positively with BMI), suggesting that those with a more central body profile tend to be weaker than others with the same weight. Individuals with low grip strength, as well as those with high ABSI, were more likely to die during follow up, whereas there was no association of BMI with mortality hazard. Transforming the grip strength, ABSI, and BMI by taking their logarithm prior to standardization did not meaningfully change the associations seen. These findings suggest that combining anthropometrics (ABSI, BMI) with grip strength may better identify individual mortality hazard in research studies and clinical practice.
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Affiliation(s)
- Nir Y. Krakauer
- Department of Civil Engineering, City College of New York, New York, NY 10031, USA
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Lee WJ, Peng LN, Loh CH, Chen LK. Sex-different associations between serum homocysteine, high-sensitivity C-reactive protein and sarcopenia: Results from I-Lan Longitudinal Aging Study. Exp Gerontol 2020; 132:110832. [DOI: 10.1016/j.exger.2020.110832] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 11/24/2019] [Accepted: 01/03/2020] [Indexed: 01/05/2023]
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Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, Jang HC, Kang L, Kim M, Kim S, Kojima T, Kuzuya M, Lee JSW, Lee SY, Lee WJ, Lee Y, Liang CK, Lim JY, Lim WS, Peng LN, Sugimoto K, Tanaka T, Won CW, Yamada M, Zhang T, Akishita M, Arai H. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. J Am Med Dir Assoc 2020; 21:300-307.e2. [PMID: 32033882 DOI: 10.1016/j.jamda.2019.12.012] [Citation(s) in RCA: 2602] [Impact Index Per Article: 650.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 12/11/2019] [Accepted: 12/12/2019] [Indexed: 12/13/2022]
Abstract
Clinical and research interest in sarcopenia has burgeoned internationally, Asia included. The Asian Working Group for Sarcopenia (AWGS) 2014 consensus defined sarcopenia as "age-related loss of muscle mass, plus low muscle strength, and/or low physical performance" and specified cutoffs for each diagnostic component; research in Asia consequently flourished, prompting this update. AWGS 2019 retains the previous definition of sarcopenia but revises the diagnostic algorithm, protocols, and some criteria: low muscle strength is defined as handgrip strength <28 kg for men and <18 kg for women; criteria for low physical performance are 6-m walk <1.0 m/s, Short Physical Performance Battery score ≤9, or 5-time chair stand test ≥12 seconds. AWGS 2019 retains the original cutoffs for height-adjusted muscle mass: dual-energy X-ray absorptiometry, <7.0 kg/m2 in men and <5.4 kg/m2 in women; and bioimpedance, <7.0 kg/m2 in men and <5.7 kg/m2 in women. In addition, the AWGS 2019 update proposes separate algorithms for community vs hospital settings, which both begin by screening either calf circumference (<34 cm in men, <33 cm in women), SARC-F (≥4), or SARC-CalF (≥11), to facilitate earlier identification of people at risk for sarcopenia. Although skeletal muscle strength and mass are both still considered fundamental to a definitive clinical diagnosis, AWGS 2019 also introduces "possible sarcopenia," defined by either low muscle strength or low physical performance only, specifically for use in primary health care or community-based health promotion, to enable earlier lifestyle interventions. Although defining sarcopenia by body mass index-adjusted muscle mass instead of height-adjusted muscle mass may predict adverse outcomes better, more evidence is needed before changing current recommendations. Lifestyle interventions, especially exercise and nutritional supplementation, prevail as mainstays of treatment. Further research is needed to investigate potential long-term benefits of lifestyle interventions, nutritional supplements, or pharmacotherapy for sarcopenia in Asians.
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Affiliation(s)
- Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
| | - Jean Woo
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong S.A.R., China.
| | - Prasert Assantachai
- Division of Geriatric Medicine, Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tung-Wai Auyeung
- The S. H. Ho Center for Gerontology and Geriatrics, The Chinese University of Hong Kong, Hong Kong S.A.R, China
| | - Ming-Yueh Chou
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Katsuya Iijima
- Institute of Gerontology, The University of Tokyo, Tokyo, Japan
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Lin Kang
- Department of Geriatrics, Peking Union Medical College Hospital, Beijing, China
| | - Miji Kim
- Department of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Korea
| | - Sunyoung Kim
- Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Taro Kojima
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masafumi Kuzuya
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Jenny S W Lee
- The S. H. Ho Center for Gerontology and Geriatrics, The Chinese University of Hong Kong, Hong Kong S.A.R, China
| | - Sang Yoon Lee
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea; Department of Rehabilitation Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Wei-Ju Lee
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan; Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yilan, Taiwan
| | - Yunhwan Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea
| | - Chih-Kuang Liang
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Jae-Young Lim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Wee Shiong Lim
- Institute of Geriatrics and Active Aging, Tan Tock Seng Hospital, Singapore
| | - Li-Ning Peng
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ken Sugimoto
- Department of Geriatric Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tomoki Tanaka
- Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Chang Won Won
- Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Minoru Yamada
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan
| | - Teimei Zhang
- Beijing Institute of Geriatrics, Beijing Hospital, Ministry of Health, Beijing, China
| | - Masahiro Akishita
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
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Patel A, Jameson KA, Edwards MH, Ward K, Gale CR, Cooper C, Dennison EM. Mild cognitive impairment is associated with poor physical function but not bone structure or density in late adulthood: findings from the Hertfordshire cohort study. Arch Osteoporos 2018; 13:44. [PMID: 29691721 PMCID: PMC5915513 DOI: 10.1007/s11657-018-0455-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 03/28/2018] [Indexed: 02/03/2023]
Abstract
UNLABELLED This study investigated the association between mild cognitive impairment (MCI) and physical function and bone health in older adults. MCI was associated with poor physical performance but not bone mineral density or bone microarchitecture. PURPOSE Cross-sectional study to investigate the association between mild cognitive impairment (MCI) and physical performance, and bone health, in a community-dwelling cohort of older adults. METHODS Cognitive function of 222 men and 221 women (mean age 75.5 and 75.8 years in men and women, respectively) was assessed by the Strawbridge questionnaire and Mini Mental State Exam (MMSE). Participants underwent dual-energy X-ray absorptiometry (DXA), peripheral-quantitative computed tomography (pQCT) and high-resolution peripheral-quantitative computed tomography (HR-pQCT) scans to assess their bone density, strength and microarchitecture. Their physical function was assessed and a physical performance (PP) score was recorded. RESULTS In the study, 11.8% of women and 8.1% of men were cognitively impaired on the MMSE (score < 24). On the Strawbridge questionnaire, 24% of women were deemed cognitively impaired compared to 22.3% of men. Cognitive impairment on the Strawbridge questionnaire was associated with poorer physical performance score in men but not in women in the unadjusted analysis. MMSE < 24 was strongly associated with the risk of low physical performance in men (OR 12.9, 95% CI 1.67, 99.8, p = 0.01). Higher MMSE score was associated with better physical performance in both sexes. Poorer cognitive function, whether assessed by the Strawbridge questionnaire, or by MMSE score, was not associated with bone density, shape or microarchitecture, in either sex. CONCLUSION MCI in older adults was associated with poor physical performance, but not bone density, shape or microarchitecture.
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Affiliation(s)
- A. Patel
- grid.430506.4University Hospital Southampton NHS Foundation Trust, Southampton, UK ,0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK
| | - K. A. Jameson
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK
| | - M. H. Edwards
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK
| | - K. Ward
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK
| | - C. R. Gale
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK ,0000 0004 1936 7988grid.4305.2Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - C. Cooper
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK ,0000 0004 1936 8948grid.4991.5NIHR Musculoskeletal Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Elaine M. Dennison
- 0000 0004 1936 9297grid.5491.9MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD UK ,0000 0001 2292 3111grid.267827.eVictoria University, Wellington, New Zealand
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