ArticleEuropean geriatric medicine2021
The relationship between primary sarcopenia and SARC-F, serum MMP9, TIMP1 levels, and MMP9/TIMP1 ratio in the geriatric patients.
Article in European geriatric medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Circulating biomarkers of the brain-muscle-metabolic axis in primary sarcopenia: neudesin, nesfatin-1, and irisin.European geriatric medicine · 2026Article
- Integrated Proteomic and Metabolomic Profiling for Developing Novel Plasma-Based Diagnostic Models of Sarcopenia.Journal of cachexia, sarcopenia and muscle · 2026Article
- Pan-cancer secreted proteome and skeletal muscle regulation: insight from a proteogenomic data-driven knowledge base.Functional & integrative genomics · 2025Review
- A framework of biomarkers for skeletal muscle aging: a consensus statement by the Aging Biomarker Consortium.Life medicine · 2024Article
- Biomarkers of aging.Science China. Life sciences · 2023Review
- Hypoxia- and Inflammation-Related Transcription Factor SP3 May Be Involved in Platelet Activation and Inflammation in Intracranial Hemorrhage.Frontiers in neurology · 2022Article
- Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study is to evaluate the relationship between serum MMP9 (Matrix metalloproteinase), TIMP1 (Tissue inhibitor of metalloproteinase) levels and MMP9/TIMP1 ratio and primary sarcopenia in geriatric patients, and compare the diagnostic accuracy of such biomarkers with that of the SARC-F score.
methodsA total of 88 patients aged 65 years and older were assessed in the study. Comorbidities and geriatric syndromes were determined and patients with secondary sarcopenia were excluded. EWGSOP2 criteria were used as diagnostic criteria for sarcopenia and SARC-F questionnaire was used to find individuals at risk for sarcopenia. Serum MMP9 and TIMP1 levels were analyzed by ELISA method.
resultsSARC-F, serum MMP9 and MMP9/TIMP1 ratio were significantly higher in the group with sarcopenia compared to the group without sarcopenia (p = 0.001, p = 0.026 and p = 0.006, respectively). In univariate logistic regression analysis, while SARC-F score and MMP9/TIMP1 ratio were significant, MMP9, TIMP1, age and gender were not. In the multivariate logistic regression analysis of the SARC-F score and the MMP9/TIMP1 ratio, it was determined that both of them were associated with sarcopenia [Odds ratio (OR) 1.447 (95%) confidence interval (CI) 1.170-1.791, p = 0.001; OR 1.127, (95%) CI 1.016-1.249, p = 0.023, respectively]. ROC curve analysis showed that the area under ROC curve (AUC) of SARC-F and MMP9/TIMP1 was 0.703 (p = 0.001, %95 CI 0.594-0.812) and 0.670 (p = 0.006, %95 CI 0.557-0.783), respectively.
conclusionAlthough this study supports the use of SARC-F questionnaire in daily practice; if SARC-F can't be applicable, the MMP9/TIMP1 ratio could be an alternative choice to the SARC-F.
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