Prediction of sarcopenia using a battery of circulating biomarkers

Abstract Loss of muscle mass and strength with aging, termed sarcopenia is accelerated in several comorbidities including chronic heart failure (CHF) and chronic obstructive pulmonary diseases (COPD). However, the effective circulating biomarkers to accurately diagnose and assess sarcopenia are not...

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Main Authors: Rizwan Qaisar, Asima Karim, Tahir Muhammad, Islam Shah, Javaidullah Khan
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-87974-6
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spelling doaj-f5e4387fc83b452b905f09f981cae09a2021-04-25T11:37:44ZengNature Publishing GroupScientific Reports2045-23222021-04-0111111110.1038/s41598-021-87974-6Prediction of sarcopenia using a battery of circulating biomarkersRizwan Qaisar0Asima Karim1Tahir Muhammad2Islam Shah3Javaidullah Khan4Basic Medical Sciences, College of Medicine, University of SharjahBasic Medical Sciences, College of Medicine, University of SharjahDepartmenr of Biochemistry, Gomal Medical CollegeDepartment of Cardiology, Al Qassimi HospitalDepartment of Cardiology, Post Graduate Medical Institute, Hayatabad Medical ComplexAbstract Loss of muscle mass and strength with aging, termed sarcopenia is accelerated in several comorbidities including chronic heart failure (CHF) and chronic obstructive pulmonary diseases (COPD). However, the effective circulating biomarkers to accurately diagnose and assess sarcopenia are not known. We recruited male healthy controls and patients with CHF and COPD (n = 81–87/group), aged 55–74 years. Sarcopenia was clinically identified based on hand-grip strength, appendicular skeletal muscle index and physical capacity as recommended by the European working group for sarcopenia. The serum levels of amino-terminal pro-peptide of type-III procollagen, c-terminal agrin fragment-22, osteonectin, irisin, fatty acid-binding protein-3 and macrophage migration inhibitory factor were significantly different between healthy controls and patients with CHF and COPD. Risk scores for individual biomarkers were calculated by logistic regressions and combined into a cumulative risk score. The median cutoff value of 3.86 was used to divide subjects into high- and low-risk groups for sarcopenia with the area under the curve of 0.793 (95% CI = 0.738–0.845, p < 0.001). A significantly higher incidence of clinical sarcopenia was found in high-risk group. Taken together, the battery of biomarkers can be an effective tool in the early diagnosis and assessment of sarcopenia.https://doi.org/10.1038/s41598-021-87974-6
collection DOAJ
language English
format Article
sources DOAJ
author Rizwan Qaisar
Asima Karim
Tahir Muhammad
Islam Shah
Javaidullah Khan
spellingShingle Rizwan Qaisar
Asima Karim
Tahir Muhammad
Islam Shah
Javaidullah Khan
Prediction of sarcopenia using a battery of circulating biomarkers
Scientific Reports
author_facet Rizwan Qaisar
Asima Karim
Tahir Muhammad
Islam Shah
Javaidullah Khan
author_sort Rizwan Qaisar
title Prediction of sarcopenia using a battery of circulating biomarkers
title_short Prediction of sarcopenia using a battery of circulating biomarkers
title_full Prediction of sarcopenia using a battery of circulating biomarkers
title_fullStr Prediction of sarcopenia using a battery of circulating biomarkers
title_full_unstemmed Prediction of sarcopenia using a battery of circulating biomarkers
title_sort prediction of sarcopenia using a battery of circulating biomarkers
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-04-01
description Abstract Loss of muscle mass and strength with aging, termed sarcopenia is accelerated in several comorbidities including chronic heart failure (CHF) and chronic obstructive pulmonary diseases (COPD). However, the effective circulating biomarkers to accurately diagnose and assess sarcopenia are not known. We recruited male healthy controls and patients with CHF and COPD (n = 81–87/group), aged 55–74 years. Sarcopenia was clinically identified based on hand-grip strength, appendicular skeletal muscle index and physical capacity as recommended by the European working group for sarcopenia. The serum levels of amino-terminal pro-peptide of type-III procollagen, c-terminal agrin fragment-22, osteonectin, irisin, fatty acid-binding protein-3 and macrophage migration inhibitory factor were significantly different between healthy controls and patients with CHF and COPD. Risk scores for individual biomarkers were calculated by logistic regressions and combined into a cumulative risk score. The median cutoff value of 3.86 was used to divide subjects into high- and low-risk groups for sarcopenia with the area under the curve of 0.793 (95% CI = 0.738–0.845, p < 0.001). A significantly higher incidence of clinical sarcopenia was found in high-risk group. Taken together, the battery of biomarkers can be an effective tool in the early diagnosis and assessment of sarcopenia.
url https://doi.org/10.1038/s41598-021-87974-6
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