Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Calvani R, Marini F, Cesari M, Tosato M, Picca A, Anker SD, von Haehling S, Miller RR, Bernabei R, Landi F, Marzetti E. Biomarkers for physical frailty and sarcopenia. Aging Clin Exp Res 2017;29:29-34. [PMID: 28155180 DOI: 10.1007/s40520-016-0708-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 10/10/2016] [Indexed: 12/14/2022]

For:	Calvani R, Marini F, Cesari M, Tosato M, Picca A, Anker SD, von Haehling S, Miller RR, Bernabei R, Landi F, Marzetti E. Biomarkers for physical frailty and sarcopenia. Aging Clin Exp Res 2017;29:29-34. [PMID: 28155180 DOI: 10.1007/s40520-016-0708-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 10/10/2016] [Indexed: 12/14/2022]

Number

Cited by Other Article(s)

Scott J, Yates M, Tanaka T, Ferrucci L, Cameron D, Welch AA. Cross-Sectional Associations between Clinical Biochemistry and Nutritional Biomarkers and Sarcopenic Indices of Skeletal Muscle in the Baltimore Longitudinal Study of Aging. J Nutr 2025;155:1535-1548. [PMID: 40064424 DOI: 10.1016/j.tjnut.2025.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 02/12/2025] [Accepted: 03/04/2025] [Indexed: 03/29/2025] Open

Abstract

BACKGROUND

Investigating relationships between nutritional and clinical biochemistry biomarkers and skeletal muscle mass, strength and function (sarcopenic indices) may 1) highlight micronutrients of interest for potential preventive or treatment strategies for sarcopenia, or 2) highlight biomarkers that may be useful for identifying individuals at risk of sarcopenia.

OBJECTIVES

Investigate associations between nutritional biomarkers (vitamin D, vitamin B12, folate, magnesium, potassium, calcium, and iron), clinical biomarkers (hemoglobin, ferritin, albumin, creatinine, and hemoglobin A1c: HbA1c), and sarcopenic indices (appendicular lean mass: ALM); height-adjusted ALM: ALMht; fat-free mass as a percentage of total body weight; extended short physical performance battery score: extSPPB; height-adjusted hand grip strength: HGSht; height-adjusted knee extension concentric strength, and; height-adjusted knee extension isometric strength) in males and females.

METHODS

Using multivariable linear regression analysis, we investigated cross-sectional associations between biomarkers and sarcopenic indices in data collected from 1761 participants (age 22-103 y) from the Baltimore Longitudinal Study of Aging.

RESULTS

Hemoglobin was positively associated with ALM (β = 0.20, P = 0.021), HGSht (β = 0.25, P = 0.001), and extSPPB (β = 0.13, P = 0.024) in males, and with extSPPB in females (β = 0.15, P = 0.019). In males, serum iron was positively associated with ALMht (β = 0.0021, P = 0.038) and extSPPB (β = 0.0043, P = 0.045). In females, ferritin was positively associated with knee-extension strength measurements. Serum creatinine was positively associated with lean mass measures in males and females and with muscle strength and function measures in males with normal renal function (estimated glomerular filtration rate ≥60 mL/min/1.73 m2). In males, high HbA1c was associated with lower ALMht (β = -0.21, P = 0.023), extSPPB (β = -0.40, P = 0.027), and HGSht (β = -0.56, P = 0.031). In males and females, magnesium was positively associated with extSPPB, and potassium was positively associated with measures of knee-extension strength.

CONCLUSIONS

The associations found between measures of iron status and creatinine and sarcopenic indices, in males in particular, indicate potential importance for muscle health. Future longitudinal and intervention studies are warranted to confirm these findings.

Collapse

Abudukelimu N, Zhang P, Du J, Li M, Shen Y, Mao Y, Wang D, Zhu Q. Association of handgrip strength weakness and asymmetry with cognitive impairment and depressive symptoms in older Chinese adults. Sci Rep 2025;15:9763. [PMID: 40119065 PMCID: PMC11928445 DOI: 10.1038/s41598-025-93573-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 03/07/2025] [Indexed: 03/24/2025] Open

Affiliation(s)

Nazhakaiti Abudukelimu Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Peng Zhang School of Management, Hainan Medical University, Haikou, 571199, China School of Clinical Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China
Jing Du Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Min Li Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Yupei Shen Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Yanyan Mao Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Difei Wang Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
Qianxi Zhu Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health, Fudan University, Shanghai, 200237, China. Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.

Collapse

Zhang A, Li Y, Zhou J, Zhang Y, Xie S, Shao H, Zhao T, Tang T. Association between daily sitting time and sarcopenia in the US population: a cross-sectional study. Arch Public Health 2025;83:5. [PMID: 39789586 PMCID: PMC11720337 DOI: 10.1186/s13690-025-01501-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 01/03/2025] [Indexed: 01/12/2025] Open

Abstract

BACKGROUND

Sarcopenia is an age-related syndrome marked by a gradual decline in skeletal muscle mass and function. While various factors influencing sarcopenia have been studied, the link between daily sedentary time and sarcopenia remains underexplored.

METHOD

This study analyzed the association between daily sitting time and sarcopenia using data from the National Health and Nutrition Examination Survey (NHANES 2011-2018). Daily sitting time was assessed through questionnaires, while sarcopenia was measured using body mass index (BMI) adjusted appendicular skeletal muscle mass (ASM). The relationship was analyzed using weighted logistic regression models and smoothing curves. Stratified analyses and interaction testing were employed to investigate population-specific characteristics of this association. Furthermore, chi-square test and grouped logistic regression were used to further analyze the impact of vigorous activity on the relationship between the two variables.

RESULT

This study included 9998 participants with complete information. The fully adjusted model showed a significant positive correlation between daily sitting time and the prevalence of sarcopenia (OR = 1.07, 95% CI: 1.03-1.10, P = 0.0026). The group with daily sitting time ≥ 9 h had a 90% higher risk of sarcopenia compared to the < 4 h group (OR = 1.90, 95% CI: 1.22-2.84, P = 0.0040). Smooth curve fitting analysis showed a linear correlation between this relationship. Stratified analysis shows that non-Hispanic white men with a lower BMI (BMI < 25) have a higher risk of sarcopenia. Compared to those who actively participate in vigorous activities, individuals who lack recreational activities have a higher prevalence and risk of sarcopenia.

CONCLUSION

Our research has found that increased sedentary time significantly increases the risk of sarcopenia, especially among non-Hispanic white men with lower BMI. Additionally, individuals who lack vigorous physical activity also have a higher prevalence and risk of sarcopenia. Therefore, reducing sedentary behavior and increasing moderate exercise may be effective prevention strategies.

Collapse

Khalil M, Di Ciaula A, Jaber N, Grandolfo R, Fiermonte F, Portincasa P. Multidimensional Assessment of Sarcopenia and Sarcopenic Obesity in Geriatric Patients: Creatinine/Cystatin C Ratio Performs Better than Sarcopenia Index. Metabolites 2024;14:306. [PMID: 38921440 PMCID: PMC11205317 DOI: 10.3390/metabo14060306] [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: 04/20/2024] [Revised: 05/17/2024] [Accepted: 05/24/2024] [Indexed: 06/27/2024] Open

Buigues C, Theou O, Fonfría-Vivas R, Martínez-Arnau FM, Rockwood K, Cauli O. Can Leucine Supplementation Improve Frailty Index Scores? Geriatrics (Basel) 2023;8:102. [PMID: 37887975 PMCID: PMC10606811 DOI: 10.3390/geriatrics8050102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/27/2023] [Accepted: 10/08/2023] [Indexed: 10/28/2023] Open

Abstract

Sarcopenia and frailty are important conditions that become increasingly prevalent with age. There is partial overlap between the two conditions, especially in terms of the physical aspects of the frailty phenotype: low grip strength, gait speed, and muscle mass. This study examined whether administration of the essential branched-chain amino acid leucine, besides improving sarcopenia, may reduce frailty assessed by frailty index (FI) in older institutionalized people living in nursing homes. We conducted a secondary analysis of a placebo-controlled, randomized, double-blind design study (ClinicalTrials.gov NCT03831399). The study included fifty males and females aged 65 and over who were living in nursing homes and did not have dementia. The participants were randomized to a parallel group intervention of 13 weeks' duration, with a daily intake of leucine (6 g/day) or placebo (lactose, 6 g/day). The outcome of this study was to evaluate whether there was a change in the level of a 95 item FI compared to the baseline and to compare the effect of the leucine group versus the placebo group. A significant inverse correlation was found between FI and performance of the activities of daily life, cognitive function, gait and balance, muscle function parameters, and nutritional status (p < 0.001 in all cases). There were no statistically significant differences in FI levels at baseline (placebo group FI 0.27 ± 0.08 and leucine group FI 0.27 ± 0.10) and at the 13 week follow-up (placebo group FI 0.28 ± 0.10 and leucine group FI 0.28 ± 0.09). There were also no significant differences between the leucine and placebo groups in the mean FI difference between baseline and follow-up (p = 0.316, Cohen's d: 0.04). This pilot study showed that a nutritional supplementation with leucine did not significantly modify the frailty index in older nursing home residents.

Collapse

Salis F, Zanda F, Cherchi F, Puxeddu B, Sanna L, Scudu C, Serreli S, Stanisci L, Cossu E, Mandas A. Diabetes mellitus, malnutrition, and sarcopenia: The bond is not explained by bioelectrical impedance analysis in older adults. J Med Life 2023;16:1170-1177. [PMID: 38024829 PMCID: PMC10652670 DOI: 10.25122/jml-2023-0173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/10/2023] [Indexed: 12/01/2023] Open

Duan Y, Tao K, Fang Z, Lu Y. Possible-sarcopenic screening with disturbed plasma amino acid profile in the elderly. BMC Geriatr 2023;23:427. [PMID: 37438737 DOI: 10.1186/s12877-023-04137-0] [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: 10/10/2022] [Accepted: 06/27/2023] [Indexed: 07/14/2023] Open

Abstract

BACKGROUND

The mass and strength of skeletal muscle decline with age, leading to its progressive dysfunction. High-throughput metabolite profiling provides the opportunity to reveal metabolic mechanisms and the identification of biomarkers. However, the role of amino acid metabolism in possible sarcopenia remains unclear.

OBJECTIVES

The aim of this study included exploring variations in plasma amino acid concentrations in elderly individuals who have possible sarcopenia and further attempting to characterize a distinctive plasma amino acid profile through targeted metabolomics.

METHODS

A cross-sectional, correlational research design was used for this study. Thirty possible-sarcopenic elderly participants were recruited (n = 30), as determined by the Asian Working Group for Sarcopenia (AWGS). Meanwhile, a reference group of non-sarcopenic (sex-, age-, and Appendicular Skeletal muscle Mass Index (ASMI)-matched non-sarcopenic controls, n = 36) individuals was included to compare the potential differences in metabolic fingerprint of the plasma amino acids associated with sarcopenia. Both groups were conducted the body composition analysis, physical function examination, and plasma amino acid-targeted metabolomics. The amino acids in plasma were measured using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS-MS). Also, orthogonal partial least-squares-discriminant analysis (OPLS-DA) was applied to characterize the plasma amino acid profile.

RESULTS

With respect to Handgrip Strength (HGS), the Five-Repetition Chair Stand Test (CS-5), the Six-Minute Walking Test (6MWT), the arm curl, the 30 s-Chair Stand Test (CST), the 2-Minute Step Test (2MST), the Timed Up-and-Go Test (TUGT), there was a decline in skeletal muscle function in the possible-sarcopenic group compared to the non-sarcopenic group. The mean plasma concentrations of arginine, asparagine, phenylalanine, serine, lysine, glutamine, and threonine were significantly lower in the possible sarcopenia group, whereas cirulline, proline, serine, and glutamic acid concentrations were higher. According to the multi-analysis, glutamine, serine, lysine, threonine, and proline were determined as the potential markers that indicated possible sarcopenia.

CONCLUSIONS

The findings characterize significantly altered plasma amino acid metabolisms in the elderly with possible sarcopenia, which aids to screening people who are at a high risk of developing condition, and motivating to design new preventive and therapeutic approaches.

Collapse

Monti E, Sarto F, Sartori R, Zanchettin G, Löfler S, Kern H, Narici MV, Zampieri S. C-terminal agrin fragment as a biomarker of muscle wasting and weakness: a narrative review. J Cachexia Sarcopenia Muscle 2023;14:730-744. [PMID: 36772862 PMCID: PMC10067498 DOI: 10.1002/jcsm.13189] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/30/2022] [Accepted: 01/16/2023] [Indexed: 02/12/2023] Open

Abstract

Ageing is accompanied by an inexorable loss of muscle mass and functionality and represents a major risk factor for numerous diseases such as cancer, diabetes and cardiovascular and pulmonary diseases. This progressive loss of muscle mass and function may also result in the insurgence of a clinical syndrome termed sarcopenia, exacerbated by inactivity and disease. Sarcopenia and muscle weakness yield the risk of falls and injuries, heavily impacting on health and social costs. Thus, screening, monitoring and prevention of conditions inducing muscle wasting and weakness are essential to improve life quality in the ageing modern society. To this aim, the reliability of easily accessible and non-invasive blood-derived biomarkers is being evaluated. C-terminal agrin fragment (CAF) has been widely investigated as a neuromuscular junction (NMJ)-related biomarker of muscle dysfunction. This narrative review summarizes and critically discusses, for the first time, the studies measuring CAF concentration in young and older, healthy and diseased individuals, cross-sectionally and in response to inactivity and physical exercise, providing possible explanations behind the discrepancies observed in the literature. To identify the studies investigating CAF in the above-mentioned conditions, all the publications found in PubMed, written in English and measuring this biomarker in blood from 2013 (when CAF was firstly measured in human serum) to 2022 were included in this review. CAF increases with age and in sarcopenic individuals when compared with age-matched, non-sarcopenic peers. In addition, CAF was found to be higher than controls in other muscle wasting conditions, such as diabetes, COPD, chronic heart failure and stroke, and in pancreatic and colorectal cancer cachectic patients. As agrin is also expressed in kidney glomeruli, chronic kidney disease and transplantation were shown to have a profound impact on CAF independently from muscle wasting. CAF concentration raises following inactivity and seems to be lowered or maintained by exercise training. Finally, CAF was reported to be cross-sectionally correlated to appendicular lean mass, handgrip and gait speed; whether longitudinal changes in CAF are associated with those in muscle mass or performance following physical exercise is still controversial. CAF seems a reliable marker to assess muscle wasting in ageing and disease, also correlating with measurements of appendicular lean mass and muscle function. Future research should aim at enlarging sample size and accurately reporting the medical history of each patient, to normalize for any condition, including chronic kidney disease, that may influence the circulating concentration of this biomarker.

Collapse

Ladang A, Beaudart C, Reginster JY, Al-Daghri N, Bruyère O, Burlet N, Cesari M, Cherubini A, da Silva MC, Cooper C, Cruz-Jentoft AJ, Landi F, Laslop A, Maggi S, Mobasheri A, Ormarsdottir S, Radermecker R, Visser M, Yerro MCP, Rizzoli R, Cavalier E. Biochemical Markers of Musculoskeletal Health and Aging to be Assessed in Clinical Trials of Drugs Aiming at the Treatment of Sarcopenia: Consensus Paper from an Expert Group Meeting Organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) and the Centre Académique de Recherche et d'Expérimentation en Santé (CARES SPRL), Under the Auspices of the World Health Organization Collaborating Center for the Epidemiology of Musculoskeletal Conditions and Aging. Calcif Tissue Int 2023;112:197-217. [PMID: 36633611 PMCID: PMC9859913 DOI: 10.1007/s00223-022-01054-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/18/2022] [Indexed: 01/13/2023]

Abstract

In clinical trials, biochemical markers provide useful information on the drug's mode of action, therapeutic response and side effect monitoring and can act as surrogate endpoints. In pharmacological intervention development for sarcopenia management, there is an urgent need to identify biomarkers to measure in clinical trials and that could be used in the future in clinical practice. The objective of the current consensus paper is to provide a clear list of biochemical markers of musculoskeletal health and aging that can be recommended to be measured in Phase II and Phase III clinical trials evaluating new chemical entities for sarcopenia treatment. A working group of the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) proposed classifying biochemical markers into 2 series: biochemical markers evaluating musculoskeletal status and biochemical markers evaluating causal factors. For series 1, the group agreed on 4 biochemical markers that should be assessed in Phase II or Phase III trials (i.e., Myostatin-Follistatin, Brain Derived Neurotrophic Factor, N-terminal Type III Procollagen and Serum Creatinine to Serum Cystatin C Ratio - or the Sarcopenia Index). For series 2, the group agreed on 6 biochemical markers that should be assessed in Phase II trials (i.e., the hormones insulin-like growth factor-1 (IGF-I), dehydroepiandrosterone sulphate, and cortisol, and the inflammatory markers C-reactive protein (CRP), interleukin-6 and tumor necrosis factor-α), and 2 in Phase III trials (i.e., IGF-I and CRP). The group also proposed optional biochemical markers that may provide insights into the mode of action of pharmacological therapies. Further research and development of new methods for biochemical marker assays may lead to the evolution of these recommendations.

Collapse

Affiliation(s)

Aurélie Ladang Department of Clinical Chemistry, CHU de Liège, University of Liège, Liège, Belgium.
Charlotte Beaudart Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
Jean-Yves Reginster Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium Biochemistry Department, College of Science, Chair for Biomarkers of Chronic Diseases, King Saud University, Riyadh, 11451, Saudi Arabia
Nasser Al-Daghri Biochemistry Department, College of Science, Chair for Biomarkers of Chronic Diseases, King Saud University, Riyadh, 11451, Saudi Arabia
Olivier Bruyère Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
Nansa Burlet Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium
Matteo Cesari Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
Antonio Cherubini Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
Mario Coelho da Silva Laboratory of Clinical and Therapeutical Pharmacology, Lisbon, Portugal
Cyrus Cooper MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
Alfonso J Cruz-Jentoft Servicio de Geriatría. Hospital Universitario Ramón Y Cajal (IRYCIS), Madrid, Spain
Francesco Landi Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of the Sacred Heart, Rome, Italy
Andrea Laslop Scientific Office, Federal Office for Safety in Health Care, Vienna, Austria
Stefania Maggi CNR Aging Branch-IN, Padua, Italy
Ali Mobasheri Division of Public Health, Epidemiology and Health Economics, WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing,, University of Liège, Liège, Belgium State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Sif Ormarsdottir Landspitali, University Hospital of Iceland, Reykjavik, Iceland
Régis Radermecker Department of Diabetes, Nutrition and Metabolic Disorders, Clinical Pharmacology, University of Liege, CHU de Liège, Liège, Belgium
Marjolein Visser Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Maria Concepcion Prieto Yerro Agencia Española de Medicamentos Y Productos Sanitarios, Madrid, Spain
René Rizzoli Faculty of Medicine, Service of Bone Diseases, Geneva University Hospitals, Geneva, Switzerland
Etienne Cavalier Department of Clinical Chemistry, CHU de Liège, University of Liège, Liège, Belgium

Collapse

Dowling P, Gargan S, Swandulla D, Ohlendieck K. Fiber-Type Shifting in Sarcopenia of Old Age: Proteomic Profiling of the Contractile Apparatus of Skeletal Muscles. Int J Mol Sci 2023;24:2415. [PMID: 36768735 PMCID: PMC9916839 DOI: 10.3390/ijms24032415] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 01/28/2023] Open

Picca A, Triolo M, Wohlgemuth SE, Martenson MS, Mankowski RT, Anton SD, Marzetti E, Leeuwenburgh C, Hood DA. Relationship between Mitochondrial Quality Control Markers, Lower Extremity Tissue Composition, and Physical Performance in Physically Inactive Older Adults. Cells 2023;12:183. [PMID: 36611976 PMCID: PMC9818256 DOI: 10.3390/cells12010183] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/03/2023] Open

Abstract

Altered mitochondrial quality and function in muscle may be involved in age-related physical function decline. The role played by the autophagy-lysosome system, a major component of mitochondrial quality control (MQC), is incompletely understood. This study was undertaken to obtain initial indications on the relationship between autophagy, mitophagy, and lysosomal markers in muscle and measures of physical performance and lower extremity tissue composition in young and older adults. Twenty-three participants were enrolled, nine young (mean age: 24.3 ± 4.3 years) and 14 older adults (mean age: 77.9 ± 6.3 years). Lower extremity tissue composition was quantified volumetrically by magnetic resonance imaging and a tissue composition index was calculated as the ratio between muscle and intermuscular adipose tissue volume. Physical performance in older participants was assessed via the Short Physical Performance Battery (SPPB). Protein levels of the autophagy marker p62, the mitophagy mediator BCL2/adenovirus E1B 19 kDa protein-interacting protein 3 (BNIP3), the lysosomal markers transcription factor EB, vacuolar-type ATPase, and lysosomal-associated membrane protein 1 were measured by Western immunoblotting in vastus lateralis muscle biopsies. Older adults had smaller muscle volume and lower tissue composition index than young participants. The protein content of p62 and BNIP3 was higher in older adults. A negative correlation was detected between p62 and BNIP3 and the tissue composition index. p62 and BNIP3 were also related to the performance on the 5-time sit-to-stand test of the SPPB. Our results suggest that an altered expression of markers of the autophagy/mitophagy-lysosomal system is related to deterioration of lower extremity tissue composition and muscle dysfunction. Additional studies are needed to clarify the role of defective MQC in human muscle aging and identify novel biological targets for drug development.

Collapse

Association between frailty and postoperative delirium: a meta-analysis of cohort study. Aging Clin Exp Res 2022;34:25-37. [PMID: 33834367 DOI: 10.1007/s40520-021-01828-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/04/2021] [Indexed: 12/29/2022]

De Simone G, Balducci C, Forloni G, Pastorelli R, Brunelli L. Hippuric acid: Could became a barometer for frailty and geriatric syndromes? Ageing Res Rev 2021;72:101466. [PMID: 34560280 DOI: 10.1016/j.arr.2021.101466] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 12/11/2022]

Influence of Polymorphism on the NFkB1 Gene (rs28362491) on the Susceptibility to Sarcopenia in the Elderly of the Brazilian Amazon. J Pers Med 2021;11:jpm11101045. [PMID: 34683186 PMCID: PMC8537608 DOI: 10.3390/jpm11101045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 11/16/2022] Open

Yeung SSY, Zhu ZLY, Kwok T, Woo J. Serum Amino Acids Patterns and 4-Year Sarcopenia Risk in Community-Dwelling Chinese Older Adults. Gerontology 2021;68:736-745. [PMID: 34515116 DOI: 10.1159/000518412] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/05/2021] [Indexed: 11/19/2022] Open

Abstract

INTRODUCTION

Dietary protein intake and serum amino acids (AAs) are factors controlling the rate of muscle protein synthesis and catabolism. This study examined the association between serum AAs patterns and incident sarcopenia in community-dwelling older adults.

METHODS

Chinese older adults in Hong Kong aged ≥65 years attended a health check at baseline and 4-year follow-up. At baseline, fasting blood was collected to measure 17 serum AAs. Serum AAs patterns were identified using principal component analysis. Dietary protein intake was assessed using a validated food frequency questionnaire. A composite score was computed by summing the principal component score and sex-standardized protein intake. Six composite scores representing each AAs pattern were available for each participant. Sarcopenia was defined using the updated version of the Asian Working Group for Sarcopenia. Crude and adjusted multiple logistic regressions were performed to examine the associations between each of the 6 composite scores and sarcopenia over 4 years. Results are presented as odds ratio (OR) and 95% confidence interval (CI). To address multiple testing, a Bonferroni correction was applied using a corrected significance level of p < 0.008 (α 0.05/6 patterns).

RESULTS

Data of 2,610 participants (mean age 71.6 years, 45.4% men) were available. In men, serum AAs patterns characterized by high branched-chain AAs (BCAAs) (OR 0.77, 95% CI 0.69-0.87, p < 0.001) and tyrosine, tryptophan, and phenylalanine (OR 0.79, 95% CI 0.71-0.89, p < 0.001) were significantly associated with a lower risk of sarcopenia over 4-year follow-up. After adjusting for confounders, the associations were no longer significant. In women, serum AAs patterns characterized by glutamine, glutamic acid, and methionine (OR 1.28, 95% CI 1.11-1.47, p = 0.001) and arginine, taurine, and serine (OR 1.20, 95% CI 1.06-1.35, p = 0.003) were associated with a higher risk of sarcopenia. After adjusting for confounders, serum AAs pattern characterized by high BCAAs (adjusted OR 1.52, 95% CI 1.25-1.86, p < 0.001) and arginine, taurine, and serine (adjusted OR 1.30, 95% CI 1.09-1.56, p = 0.004) were significantly associated with a higher risk of sarcopenia. No association between other AAs patterns with incident sarcopenia was found.

CONCLUSIONS

In community-dwelling Chinese older adults, serum AAs patterns characterized by high BCAAs and nonessential AAs (arginine, taurine, and serine) were associated with a higher risk of sarcopenia in women. Findings may allow identifying new targets for interventions.

Collapse

Koh FH, Chua JMW, Tan JLJ, Foo FJ, Tan WJ, Sivarajah SS, Ho LML, Teh BT, Chew MH. Paradigm shift in gastrointestinal surgery − combating sarcopenia with prehabilitation: Multimodal review of clinical and scientific data. World J Gastrointest Surg 2021;13:734-755. [PMID: 34512898 PMCID: PMC8394378 DOI: 10.4240/wjgs.v13.i8.734] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/08/2021] [Accepted: 07/12/2021] [Indexed: 02/06/2023] Open

Lan G, Yu C, Huang Y. The adverse impact, assessment and management of sarcopenia in liver transplantation candidates and recipients. Hepatobiliary Surg Nutr 2021;10:575-578. [PMID: 34430549 DOI: 10.21037/hbsn-21-145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/29/2021] [Indexed: 11/06/2022]

Soendenbroe C, Andersen JL, Mackey AL. Muscle-nerve communication and the molecular assessment of human skeletal muscle denervation with aging. Am J Physiol Cell Physiol 2021;321:C317-C329. [PMID: 34161153 DOI: 10.1152/ajpcell.00174.2021] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]

Bossi P, Delrio P, Mascheroni A, Zanetti M. The Spectrum of Malnutrition/Cachexia/Sarcopenia in Oncology According to Different Cancer Types and Settings: A Narrative Review. Nutrients 2021;13:1980. [PMID: 34207529 PMCID: PMC8226689 DOI: 10.3390/nu13061980] [Citation(s) in RCA: 212] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/26/2021] [Accepted: 06/02/2021] [Indexed: 12/15/2022] Open

Abstract

Nutritional status in oncological patients may differ according to several modifiable and non-modifiable factors. Knowledge of the epidemiology of malnutrition/cachexia/sarcopenia may help to manage these complications early in the course of treatment, potentially impacting patient quality of life, treatment intensity, and disease outcome. Therefore, this narrative review aimed to critically evaluate the current evidence on the combined impact of tumor- and treatment-related factors on nutritional status and to draw some practical conclusions to support the multidisciplinary management of malnutrition in cancer patients. A comprehensive literature search was performed from January 2010 to December 2020 using different combinations of pertinent keywords and a critical evaluation of retrieved literature papers was conducted. The results show that the prevalence of weight loss and associated symptoms is quite heterogeneous and needs to be assessed with recognized criteria, thus allowing a clear classification and standardization of therapeutic interventions. There is a large range of variability influenced by age and social factors, comorbidities, and setting of cures (community-dwelling versus hospitalized patients). Tumor subsite is one of the major determinants of malnutrition, with pancreatic, esophageal, and other gastroenteric cancers, head and neck, and lung cancers having the highest prevalence. The advanced stage is also linked to a higher risk of developing malnutrition, as an expression of the relationship between tumor burden, inflammatory status, reduced caloric intake, and malabsorption. Finally, treatment type influences the risk of nutritional issues, both for locoregional approaches (surgery and radiotherapy) and for systemic treatment. Interestingly, personalized approaches based on the selection of the most predictive malnutrition definitions for postoperative complications according to cancer type and knowledge of specific nutritional problems associated with some new agents may positively impact disease course. Sharing common knowledge between oncologists and nutritionists may help to better address and treat malnutrition in this population.

Collapse

Amarasekera AT, Chang D, Schwarz P, Tan TC. Vascular endothelial dysfunction may be an early predictor of physical frailty and sarcopenia: A meta-analysis of available data from observational studies. Exp Gerontol 2021;148:111260. [PMID: 33571660 DOI: 10.1016/j.exger.2021.111260] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 01/21/2021] [Accepted: 01/26/2021] [Indexed: 01/16/2023]

Marzetti E, Guerra F, Calvani R, Marini F, Biancolillo A, Gervasoni J, Primiano A, Coelho-Júnior HJ, Landi F, Bernabei R, Bucci C, Picca A. Circulating Mitochondrial-Derived Vesicles, Inflammatory Biomarkers and Amino Acids in Older Adults With Physical Frailty and Sarcopenia: A Preliminary BIOSPHERE Multi-Marker Study Using Sequential and Orthogonalized Covariance Selection - Linear Discriminant Analysis. Front Cell Dev Biol 2020;8:564417. [PMID: 33072749 PMCID: PMC7536309 DOI: 10.3389/fcell.2020.564417] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/13/2020] [Indexed: 01/04/2023] Open

Abstract

Physical frailty and sarcopenia (PF&S) is a prototypical geriatric condition characterized by reduced physical function and low muscle mass. The multifaceted pathophysiology of this condition recapitulates all hallmarks of aging making the identification of specific biomarkers challenging. In the present study, we explored the relationship among three processes that are thought to be involved in PF&S (i.e., systemic inflammation, amino acid dysmetabolism, and mitochondrial dysfunction). We took advantage of the well-characterized cohort of older adults recruited in the “BIOmarkers associated with Sarcopenia and Physical frailty in EldeRly pErsons” (BIOSPHERE) study to preliminarily combine in a multi-platform analytical approach inflammatory biomolecules, amino acids and derivatives, and mitochondrial-derived vesicle (MDV) cargo molecules to evaluate their performance as possible biomarkers for PF&S. Eleven older adults aged 70 years and older with PF&S and 10 non-sarcopenic non-frail controls were included in the analysis based on the availability of the three categories of biomolecules. A sequential and orthogonalized covariance selection—linear discriminant analysis (SO-CovSel–LDA) approach was used for biomarkers selection. Of the 75 analytes assayed, 16 had concentrations below the detection limit. Within the remaining 59 biomolecules, So-CovSel–LDA selected a set comprising two amino acids (phosphoethanolamine and tryptophan), two cytokines (interleukin 1 receptor antagonist and macrophage inflammatory protein 1β), and MDV-derived nicotinamide adenine dinucleotide reduced form:ubiquinone oxidoreductase subunit S3 as the best predictors for discriminating older people with and without PF&S. The evaluation of these biomarkers in larger cohorts and their changes over time or in response to interventions may unveil specific pathogenetic pathways of PF&S and identify new biological targets for drug development.

Collapse

Justice AC, Tate JP. Strengths and Limitations of the Veterans Aging Cohort Study Index as a Measure of Physiologic Frailty. AIDS Res Hum Retroviruses 2020;35:1023-1033. [PMID: 31565954 DOI: 10.1089/aid.2019.0136] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open

Sarcopenia and inflammation in patients undergoing hemodialysis. NUTR HOSP 2020;37:855-862. [PMID: 32762235 DOI: 10.20960/nh.03068] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open

Interleukin-6 and Lymphocyte Count Associated and Predicted the Progression of Frailty Syndrome in Prostate Cancer Patients Undergoing Antiandrogen Therapy. Cancers (Basel) 2020;12:cancers12071716. [PMID: 32610428 PMCID: PMC7408184 DOI: 10.3390/cancers12071716] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 02/07/2023] Open

Abstract

Frailty syndrome is a functional state that includes a loss of ability to react to stressors, and is associated with poor outcomes, morbidity and premature mortality. The first line treatment in many men with prostate cancer (PCa) consists of an androgen-deprivation therapy (ADT) which can promote or favor frailty syndrome and ADT may therefore favor the progression of frailty over time. Among the pathophysiological bases of frailty, the presence of chronic low-grade inflammation has been associated with its adverse outcomes, but longitudinal studies are needed to validate these biomarkers. In this study, we prospectively evaluate frailty syndrome and blood inflammatory markers (IL1-beta, IL-6, IL-8, TNF alpha, C reactive protein) and leukocytes were measured at baseline and an average of 1 year later in PCa under ADT. Frailty was defined as having three or more of the following components: low lean mass, weakness, self-reported exhaustion, low activity level, and slow walking speed; prefrailty was defined as having one or two of those components. Multinomial regression analysis showed that among the inflammatory biomarkers, those significantly and repeatedly (baseline and follow-up time points) (p < 0.05) associated with frailty syndrome were high IL-6 levels and low lymphocyte counts in blood. Other biomarkers such as IL-8, monocyte counts and C reactive protein were significantly associated with frailty syndrome (p < 0.05) in cross-sectional analyses, but they do not predict frailty progression at 1 year-follow-up. Receiver operating characteristic curve analysis showed that both lymphocyte counts and IL-6 concentration significantly (p < 0.05) (although moderately) discriminate PCa patients that progressed in the severity of frailty syndrome. IL-6 and lymphocytes count are possible biomarkers, useful for identifying frail patients and predicting the progression of frailty in PCa under ADT. Our study suggests the use of these biomarkers to guide clinical decisions on prostate cancer treatment based on a multidisciplinary approach.

Collapse

Vatic M, von Haehling S, Ebner N. Inflammatory biomarkers of frailty. Exp Gerontol 2020;133:110858. [DOI: 10.1016/j.exger.2020.110858] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 01/22/2020] [Accepted: 01/30/2020] [Indexed: 12/15/2022]

Sarkar TJ, Quarta M, Mukherjee S, Colville A, Paine P, Doan L, Tran CM, Chu CR, Horvath S, Qi LS, Bhutani N, Rando TA, Sebastiano V. Transient non-integrative expression of nuclear reprogramming factors promotes multifaceted amelioration of aging in human cells. Nat Commun 2020;11:1545. [PMID: 32210226 PMCID: PMC7093390 DOI: 10.1038/s41467-020-15174-3] [Citation(s) in RCA: 183] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 02/20/2020] [Indexed: 01/11/2023] Open

Affiliation(s)

Tapash Jay Sarkar 0000000419368956grid.168010.eInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305 USA ,20000000419368956grid.168010.eDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305 USA ,30000000419368956grid.168010.eDepartment of Applied Physics, Stanford University School of Humanities and Sciences, Stanford, CA 94305 USA
Marco Quarta 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA ,70000 0004 0635 6745grid.486808.aMolecular Medicine Research Institute, Sunnyvale, CA 94085 USA
Shravani Mukherjee Department of Orthopedic Surgery, Stanford University School of Medicine, Sanford, CA 94305 USA
Alex Colville 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA ,90000000419368956grid.168010.eDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305 USA
Patrick Paine 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA ,70000 0004 0635 6745grid.486808.aMolecular Medicine Research Institute, Sunnyvale, CA 94085 USA
Linda Doan 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA ,70000 0004 0635 6745grid.486808.aMolecular Medicine Research Institute, Sunnyvale, CA 94085 USA
Christopher M. Tran 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA
Constance R. Chu Department of Orthopedic Surgery, Stanford University School of Medicine, Sanford, CA 94305 USA ,100000 0004 0419 2556grid.280747.eVA Palo Alto Health Care System, Palo Alto, CA 94304 USA
Steve Horvath 0000 0000 9632 6718grid.19006.3eDepartment of Human Genetics David Geffen School of Medicine, University of California, Los Angeles, CA 90095 USA ,120000 0000 9632 6718grid.19006.3eDepartment of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA 90095 USA
Lei S. Qi 0000000419368956grid.168010.eDepartment of Bioengineering, Department of Chemical and Systems Biology, ChEM-H, Stanford University, Stanford, CA 94305 USA
Nidhi Bhutani Department of Orthopedic Surgery, Stanford University School of Medicine, Sanford, CA 94305 USA
Thomas A. Rando 0000000419368956grid.168010.eDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305 USA ,50000000419368956grid.168010.ePaul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94305 USA ,60000 0004 0419 2556grid.280747.eCenter for Tissue Regeneration, Repair and Restoration, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304 USA
Vittorio Sebastiano 0000000419368956grid.168010.eInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305 USA ,20000000419368956grid.168010.eDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA 94305 USA

Collapse

Boreskie KF, Oldfield CJ, Hay JL, Moffatt TL, Hiebert BM, Arora RC, Duhamel TA. Myokines as biomarkers of frailty and cardiovascular disease risk in females. Exp Gerontol 2020;133:110859. [PMID: 32017952 DOI: 10.1016/j.exger.2020.110859] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/20/2020] [Accepted: 01/31/2020] [Indexed: 02/07/2023]

Abstract

Frailty is a risk factor for cardiovascular disease (CVD). Biomarkers have the potential to detect the early stages of frailty, such as pre-frailty. Myokines may act as biomarkers of frailty-related disease progression, as a decline in muscle health is a hallmark of the frailty phenotype. This study is a secondary analysis of 104 females 55 years of age or older with no previous history of CVD. Differences in systemic myokine concentrations based on frailty status and CVD risk profile were examined using a case-control design. Propensity matching identified two sets of 26 pairs with pre-frailty as the exposure variable in low or elevated CVD risk groups for a total 104 female participants. Frailty was assessed using the Fried Criteria (FC) and CVD risk was assessed using the Framingham Risk Score (FRS). Factorial ANOVA compared the main effects of frailty, CVD risk, and their interaction on the concentrations of 15 myokines. Differences were found when comparing elevated CVD risk status with low for the concentrations of EPO (384.76 ± 1046.07 vs. 206.63 ± 284.61 pg/mL, p = .001), FABP3 (2772.61 ± 3297.86 vs. 1693.31 ± 1019.34 pg/mL, p = .017), FGF21 (193.17 ± 521.09 vs. 70.18 ± 139.51 pg/mL, p = .010), IL-6 (1.73 ± 4.97 vs. 0.52 ± 0.89 pg/mL, p = .023), and IL-15 (2.62 ± 10.56 vs. 0.92 ± 1.25 pg/mL, p = .022). Pre-frail females had lower concentrations of fractalkine compared to robust (27.04 ± 20.60 vs. 103.62 ± 315.45 pg/mL, p = .004). Interaction effects between frailty status and CVD risk for FGF21 and OSM were identified. In elevated CVD risk, pre-frail females, concentrations of FGF21 and OSM were lower than that of elevated CVD risk, robust females (69.10 ± 62.86 vs. 317.24 ± 719.69, p = .011; 1.73 ± 2.32 vs. 24.43 ± 69.21, p = .018, respectively). These data identified specific biomarkers of CVD risk and biomarkers of frailty that are exacerbated with CVD risk.

Collapse

Habenicht R, Ebenbichler G, Bonato P, Kollmitzer J, Ziegelbecker S, Unterlerchner L, Mair P, Kienbacher T. Age-specific differences in the time-frequency representation of surface electromyographic data recorded during a submaximal cyclic back extension exercise: a promising biomarker to detect early signs of sarcopenia. J Neuroeng Rehabil 2020;17:8. [PMID: 31992323 PMCID: PMC6986160 DOI: 10.1186/s12984-020-0645-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 01/20/2020] [Indexed: 11/10/2022] Open

Abstract

PURPOSE

Motivated by the goal of developing new methods to detect early signs of sarcopenia, we investigated if surface electromyographic (SEMG) data recorded during the performance of cyclic, submaximal back extensions are marked by age-specific differences in their time and frequency characteristics. Furthermore, day-to-day retest reliability of the EMG measures was examined.

METHODS

A total of 86 healthy volunteers used a back dynamometer to perform a series of three maximal voluntary contractions (MVC) consisting of isometric back extensions, followed by an isometric back extension at 80% MVC, and finally 25 slow cyclic back extensions at 50% MVC. SEMG data was recorded bilaterally at L1, L2, and L5 from the iliocostalis lumborum, longissimus, and multifidus muscles, respectively. Tests were repeated two days and six weeks later. A linear mixed-effects model with fixed effects "age, sex, test number" and the random effect "person" was performed to investigate age-specific differences in both the initial value and the time-course (as defined by the slope of the regression line) of the root mean square (RMS-SEMG) values and instantaneous median frequency (IMDF-SEMG) values calculated separately for the shortening and lengthening phases of the exercise cycles. Generalizability Theory was used to examine reliability of the EMG measures.

RESULTS

Back extensor strength was comparable in younger and older adults. The initial value of RMS-SEMG and IMDF-SEMG as well as the RMS-SEMG time-course did not significantly differ between the two age groups. Conversely, the IMDF-SEMG time-course showed more rapid changes in younger than in older individuals. Absolute and relative reliability of the SEMG time-frequency representations were comparable in older and younger individuals with good to excellent relative reliability but variable absolute reliability levels.

CONCLUSIONS

The IMDF-SEMG time-course derived from submaximal, cyclic back extension exercises performed at moderate effort showed significant differences in younger vs. older adults even though back extension strength was found to be comparable in the two age groups. We conclude that the SEMG method proposed in this study has great potential to be used as a biomarker to detect early signs of sarcopenic back muscle function.

Collapse

The “Metabolic biomarkers of frailty in older people with type 2 diabetes mellitus” (MetaboFrail) study: Rationale, design and methods. Exp Gerontol 2020;129:110782. [DOI: 10.1016/j.exger.2019.110782] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 11/14/2019] [Indexed: 12/19/2022]

Age- and sex-specific effects in paravertebral surface electromyographic back extensor muscle fatigue in chronic low back pain. GeroScience 2019;42:251-269. [PMID: 31773454 PMCID: PMC7031171 DOI: 10.1007/s11357-019-00134-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 11/04/2019] [Indexed: 01/07/2023] Open

Coelho-Junior HJ, Picca A, Calvani R, Uchida MC, Marzetti E. If my muscle could talk: Myokines as a biomarker of frailty. Exp Gerontol 2019;127:110715. [PMID: 31473199 DOI: 10.1016/j.exger.2019.110715] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 08/12/2019] [Accepted: 08/26/2019] [Indexed: 01/03/2023]

Picca A, Coelho-Junior HJ, Cesari M, Marini F, Miccheli A, Gervasoni J, Bossola M, Landi F, Bernabei R, Marzetti E, Calvani R. The metabolomics side of frailty: Toward personalized medicine for the aged. Exp Gerontol 2019;126:110692. [PMID: 31421185 DOI: 10.1016/j.exger.2019.110692] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/24/2019] [Accepted: 08/13/2019] [Indexed: 12/12/2022]

Affiliation(s)

Anna Picca Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
Hélio José Coelho-Junior Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Applied Kinesiology Laboratory-LCA, School of Physical Education, University of Campinas, 13.083-851 Campinas, SP, Brazil
Matteo Cesari Department of Clinical Sciences and Community Health, Università di Milano, 20122 Milan, Italy; Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
Federico Marini Department of Chemistry, Sapienza Università di Roma, 00168 Rome, Italy
Alfredo Miccheli Department of Chemistry, Sapienza Università di Roma, 00168 Rome, Italy
Jacopo Gervasoni Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
Maurizio Bossola Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
Francesco Landi Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy
Roberto Bernabei Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Emanuele Marzetti Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy.
Riccardo Calvani Università Cattolica del Sacro Cuore, Institute of Internal Medicine and Geriatrics, 00168 Rome, Italy; Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, 00168 Rome, Italy

Collapse

Marzetti E, Picca A, Marini F, Biancolillo A, Coelho-Junior HJ, Gervasoni J, Bossola M, Cesari M, Onder G, Landi F, Bernabei R, Calvani R. Inflammatory signatures in older persons with physical frailty and sarcopenia: The frailty “cytokinome” at its core. Exp Gerontol 2019;122:129-138. [DOI: 10.1016/j.exger.2019.04.019] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/09/2019] [Accepted: 04/29/2019] [Indexed: 10/26/2022]

Harris J. Geriatric Trends Facing Nursing with the Growing Aging. Crit Care Nurs Clin North Am 2019;31:211-224. [DOI: 10.1016/j.cnc.2019.02.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]

Sonjak V, Jacob KJ, Spendiff S, Vuda M, Perez A, Miguez K, Minozzo FC, Spake C, Morais JA, Hepple RT. Reduced Mitochondrial Content, Elevated Reactive Oxygen Species, and Modulation by Denervation in Skeletal Muscle of Prefrail or Frail Elderly Women. J Gerontol A Biol Sci Med Sci 2019;74:1887-1895. [DOI: 10.1093/gerona/glz066] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Indexed: 12/12/2022] Open

Ohlendieck K. Novel proteomic biomarkers for skeletal muscle diseases. Biomark Med 2019. [PMID: 28621607 DOI: 10.2217/bmm-2017-0069] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open

Pujos-Guillot E, Pétéra M, Jacquemin J, Centeno D, Lyan B, Montoliu I, Madej D, Pietruszka B, Fabbri C, Santoro A, Brzozowska A, Franceschi C, Comte B. Identification of Pre-frailty Sub-Phenotypes in Elderly Using Metabolomics. Front Physiol 2019;9:1903. [PMID: 30733683 PMCID: PMC6353829 DOI: 10.3389/fphys.2018.01903] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 12/18/2018] [Indexed: 01/14/2023] Open

Abstract

Aging is a dynamic process depending on intrinsic and extrinsic factors and its evolution is a continuum of transitions, involving multifaceted processes at multiple levels. It is recognized that frailty and sarcopenia are shared by the major age-related diseases thus contributing to elderly morbidity and mortality. Pre-frailty is still not well understood but it has been associated with global imbalance in several physiological systems, including inflammation, and in nutrition. Due to the complex phenotypes and underlying pathophysiology, the need for robust and multidimensional biomarkers is essential to move toward more personalized care. The objective of the present study was to better characterize the complexity of pre-frailty phenotype using untargeted metabolomics, in order to identify specific biomarkers, and study their stability over time. The approach was based on the NU-AGE project (clinicaltrials.gov, NCT01754012) that regrouped 1,250 free-living elderly people (65–79 y.o., men and women), free of major diseases, recruited within five European centers. Half of the volunteers were randomly assigned to an intervention group (1-year Mediterranean type diet). Presence of frailty was assessed by the criteria proposed by Fried et al. (2001). In this study, a sub-cohort consisting in 212 subjects (pre-frail and non-frail) from the Italian and Polish centers were selected for untargeted serum metabolomics at T0 (baseline) and T1 (follow-up). Univariate statistical analyses were performed to identify discriminant metabolites regarding pre-frailty status. Predictive models were then built using linear logistic regression and ROC curve analyses were used to evaluate multivariate models. Metabolomics enabled to discriminate sub-phenotypes of pre-frailty both at the gender level and depending on the pre-frailty progression and reversibility. The best resulting models included four different metabolites for each gender. They showed very good prediction capacity with AUCs of 0.93 (95% CI = 0.87–1) and 0.94 (95% CI = 0.87–1) for men and women, respectively. Additionally, early and/or predictive markers of pre-frailty were identified for both genders and the gender specific models showed also good performance (three metabolites; AUC = 0.82; 95% CI = 0.72–0.93) for men and very good for women (three metabolites; AUC = 0.92; 95% CI = 0.86–0.99). These results open the door, through multivariate strategies, to a possibility of monitoring the disease progression over time at a very early stage.

Collapse

Affiliation(s)

Estelle Pujos-Guillot Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Centre Auvergne Rhône Alpes, Clermont-Ferrand, France.,Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
Mélanie Pétéra Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
Jérémie Jacquemin Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
Delphine Centeno Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
Bernard Lyan Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
Ivan Montoliu Nestlé Institute of Health Sciences, Lausanne, Switzerland
Dawid Madej Department of Human Nutrition, Warsaw University of Life Sciences - Szkoła Główna Gospodarstwa Wiejskiego, Warsaw, Poland
Barbara Pietruszka Department of Human Nutrition, Warsaw University of Life Sciences - Szkoła Główna Gospodarstwa Wiejskiego, Warsaw, Poland
Cristina Fabbri Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
Aurelia Santoro Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Interdepartmental Center "L. Galvani", University of Bologna, Bologna, Italy
Anna Brzozowska Department of Human Nutrition, Warsaw University of Life Sciences - Szkoła Główna Gospodarstwa Wiejskiego, Warsaw, Poland
Claudio Franceschi Institute of Neurological Sciences (IRCCS), Bologna, Italy
Blandine Comte Université Clermont Auvergne, Institut National de la Recherche Agronomique, Unité de Nutrition Humaine, Centre Auvergne Rhône Alpes, Clermont-Ferrand, France

Collapse

Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA, Schneider SM, Sieber CC, Topinkova E, Vandewoude M, Visser M, Zamboni M, Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2 Bautmans

Ivan

17Baeyens

Jean-Pierre

http://orcid.org/0000-0002-0348-3664

Cesari

Matteo

http://orcid.org/0000-0003-0261-9897

Cherubini

Antonio

20Kanis

John

21Maggio

Marcello

22Martin

Finbarr

23Michel

Jean-Pierre

24Pitkala

Kaisu

25Reginster

Jean-Yves

26Rizzoli

René

27Sánchez-Rodríguez

Dolores

28Schols

Jos

29. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019;48:16-31. [PMID: 30312372 PMCID: PMC6322506 DOI: 10.1093/ageing/afy169] [Citation(s) in RCA: 7501] [Impact Index Per Article: 1250.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Revised: 09/21/2018] [Accepted: 09/24/2018] [Indexed: 02/06/2023] Open

Calvani R, Picca A, Marini F, Biancolillo A, Gervasoni J, Persichilli S, Primiano A, Coelho-Junior HJ, Bossola M, Urbani A, Landi F, Bernabei R, Marzetti E. A Distinct Pattern of Circulating Amino Acids Characterizes Older Persons with Physical Frailty and Sarcopenia: Results from the BIOSPHERE Study. Nutrients 2018;10:E1691. [PMID: 30404172 PMCID: PMC6265849 DOI: 10.3390/nu10111691] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/30/2018] [Accepted: 11/01/2018] [Indexed: 11/25/2022] Open

Calvani R, Picca A, Marini F, Biancolillo A, Cesari M, Pesce V, Lezza AMS, Bossola M, Leeuwenburgh C, Bernabei R, Landi F, Marzetti E. The "BIOmarkers associated with Sarcopenia and PHysical frailty in EldeRly pErsons" (BIOSPHERE) study: Rationale, design and methods. Eur J Intern Med 2018;56:19-25. [PMID: 29753582 PMCID: PMC6367722 DOI: 10.1016/j.ejim.2018.05.001] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 04/26/2018] [Accepted: 05/01/2018] [Indexed: 01/10/2023]

Vicent L, Martínez-Sellés H, Ariza-Solé A, Lucia A, Emanuele E, Bayés-Genís A, Fernández-Avilés F, Martínez-Sellés M. A panel of multibiomarkers of inflammation, fibrosis, and catabolism is normal in healthy centenarians but has high values in young patients with myocardial infarction. Maturitas 2018;116:54-58. [PMID: 30244779 DOI: 10.1016/j.maturitas.2018.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 06/20/2018] [Accepted: 07/18/2018] [Indexed: 10/28/2022]

Danese E, Montagnana M, Lippi G. Proteomics and frailty: a clinical overview. Expert Rev Proteomics 2018;15:657-664. [DOI: 10.1080/14789450.2018.1505511] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]

Lorenzi M, Bonassi S, Lorenzi T, Giovannini S, Bernabei R, Onder G. A review of telomere length in sarcopenia and frailty. Biogerontology 2018;19:209-221. [PMID: 29549539 DOI: 10.1007/s10522-018-9749-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 02/23/2018] [Indexed: 12/16/2022]

Chhetri JK, de Souto Barreto P, Fougère B, Rolland Y, Vellas B, Cesari M. Chronic inflammation and sarcopenia: A regenerative cell therapy perspective. Exp Gerontol 2018;103:115-123. [DOI: 10.1016/j.exger.2017.12.023] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 12/20/2017] [Accepted: 12/27/2017] [Indexed: 01/06/2023]

Murphy S, Zweyer M, Mundegar RR, Swandulla D, Ohlendieck K. Proteomic serum biomarkers for neuromuscular diseases. Expert Rev Proteomics 2018;15:277-291. [DOI: 10.1080/14789450.2018.1429923] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]

Dent E, Morley JE, Cruz-Jentoft AJ, Arai H, Kritchevsky SB, Guralnik J, Bauer JM, Pahor M, Clark BC, Cesari M, Ruiz J, Sieber CC, Aubertin-Leheudre M, Waters DL, Visvanathan R, Landi F, Villareal DT, Fielding R, Won CW, Theou O, Martin FC, Dong B, Woo J, Flicker L, Ferrucci L, Merchant RA, Cao L, Cederholm T, Ribeiro SML, Rodríguez-Mañas L, Anker SD, Lundy J, Gutiérrez Robledo LM, Bautmans I, Aprahamian I, Schols JMGA, Izquierdo M, Vellas B. International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management. J Nutr Health Aging 2018;22:1148-1161. [PMID: 30498820 DOI: 10.1007/s12603-018-1139-9] [Citation(s) in RCA: 615] [Impact Index Per Article: 87.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]

Abstract

OBJECTIVES

Sarcopenia, defined as an age-associated loss of skeletal muscle function and muscle mass, occurs in approximately 6 - 22 % of older adults. This paper presents evidence-based clinical practice guidelines for screening, diagnosis and management of sarcopenia from the task force of the International Conference on Sarcopenia and Frailty Research (ICSFR).

METHODS

To develop the guidelines, we drew upon the best available evidence from two systematic reviews paired with consensus statements by international working groups on sarcopenia. Eight topics were selected for the recommendations: (i) defining sarcopenia; (ii) screening and diagnosis; (iii) physical activity prescription; (iv) protein supplementation; (v) vitamin D supplementation; (vi) anabolic hormone prescription; (vii) medications under development; and (viii) research. The ICSFR task force evaluated the evidence behind each topic including the quality of evidence, the benefit-harm balance of treatment, patient preferences/values, and cost-effectiveness. Recommendations were graded as either strong or conditional (weak) as per the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Consensus was achieved via one face-to-face workshop and a modified Delphi process.

RECOMMENDATIONS

We make a conditional recommendation for the use of an internationally accepted measurement tool for the diagnosis of sarcopenia including the EWGSOP and FNIH definitions, and advocate for rapid screening using gait speed or the SARC-F. To treat sarcopenia, we strongly recommend the prescription of resistance-based physical activity, and conditionally recommend protein supplementation/a protein-rich diet. No recommendation is given for Vitamin D supplementation or for anabolic hormone prescription. There is a lack of robust evidence to assess the strength of other treatment options.

Collapse

Woo J, Yu R, Tsoi K, Meng H. Variability in Repeated Blood Pressure Measurements as a Marker of Frailty. J Nutr Health Aging 2018;22:1122-1127. [PMID: 30379313 DOI: 10.1007/s12603-018-1082-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]

Al Saedi A, Gunawardene P, Bermeo S, Vogrin S, Boersma D, Phu S, Singh L, Suriyaarachchi P, Duque G. Lamin A expression in circulating osteoprogenitors as a potential biomarker for frailty: The Nepean Osteoporosis and Frailty (NOF) Study. Exp Gerontol 2017;102:69-75. [PMID: 29203402 DOI: 10.1016/j.exger.2017.11.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 11/15/2017] [Accepted: 11/22/2017] [Indexed: 01/10/2023]

Affiliation(s)

Ahmed Al Saedi Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
Piumali Gunawardene Sydney Medical School Nepean, The University of Sydney, Penrith, NSW, Australia; Department of Geriatric Medicine, Nepean Hospital, Penrith, NSW, Australia
Sandra Bermeo Sydney Medical School Nepean, The University of Sydney, Penrith, NSW, Australia.
Sara Vogrin Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
Derek Boersma Department of Geriatric Medicine, Nepean Hospital, Penrith, NSW, Australia.
Steven Phu Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
Lakshman Singh Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
Pushpa Suriyaarachchi Sydney Medical School Nepean, The University of Sydney, Penrith, NSW, Australia.
Gustavo Duque Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Melbourne, VIC, Australia; Department of Medicine-Western Health, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia; Sydney Medical School Nepean, The University of Sydney, Penrith, NSW, Australia.

Collapse

Bartley JM, Studenski SA. Muscle Ultrasound As a Link to Muscle Quality and Frailty in the Clinic. J Am Geriatr Soc 2017;65:2562-2563. [DOI: 10.1111/jgs.15075] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]

The "Sarcopenia and Physical fRailty IN older people: multi-componenT Treatment strategies" (SPRINTT) project: advancing the care of physically frail and sarcopenic older people. Aging Clin Exp Res 2017;29:1-2. [PMID: 28144913 DOI: 10.1007/s40520-016-0707-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Accepted: 10/04/2016] [Indexed: 01/06/2023]