ArticleJournal of cachexia, sarcopenia and muscle2023
Frailty is characterized by biomarker patterns reflecting inflammation or muscle catabolism in multi-morbid patients.
Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Interplay between frailty and cardiometabolic disorders: from pathophysiology to clinical implications.Cardiovascular diabetology · 2025Pooled it
- Trial
- Association between metal co-exposure and frailty: exploring the potential explanatory pathway of inflammation.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Surface Electromyographic Characteristics of Lower Limb Muscles in Frail Older Adults With Cardiovascular Disease: A Case-Control Study.Journal of cachexia, sarcopenia and muscle · 2026Article
- Multidimensional physiological impairments are associated with frailty and survival in older patients with cancer.Journal of translational internal medicine · 2026Article
- Causes of sarcopenia and frailty in people taking GLP1RAs.Nature reviews. Endocrinology · 2026Article
- Review
- Development of a sarcopenia identification model for older adults with multimorbidity in Xinjiang communities, Northwest China: a cross-sectional study.BMC geriatrics · 2026Article
- Article
- Protective association of renin-angiotensin system inhibitor use with skeletal muscle wasting in diabetic heart failure.Journal of diabetes investigation · 2026Article
- Frailty in Cancer: Why Bother and Ways Forward.Journal of cachexia, sarcopenia and muscle · 2025Article
- Diagnostic value of computed tomography-based muscle quality and metabolic signatures in heart failure with sarcopenia.ESC heart failure · 2025Article
- Habitual sweet and bitter beverage consumption in relation to the risk of frailty and sarcopenia-related traits: a Mendelian randomization study.BMC geriatrics · 2025Article
- Review
- Analysis of the diagnostic accuracy of plasma sTNFr-2 concentrations in identifying sarcopenia in community-dwelling older women.Scientific reports · 2025Article
- Causal Relationship Between Circulating Metabolites and Sarcopenia-Related Traits: A Mendelian Randomization and Experimental Study.Food science & nutrition · 2025Article
- The Role of Frailty and Myosteatosis in Predicting All-Cause Mortality in Older Adults with Cancer.Current oncology (Toronto, Ont.) · 2024Article
- Impact of immunological aging on T cell-mediated therapies in older adults with multiple myeloma and lymphoma.Journal for immunotherapy of cancer · 2024Review
- Biomarkers of Aging and Relevant Evaluation Techniques: A Comprehensive Review.Aging and disease · 2024Review
- Associations of circulating GDF15 with combined cognitive frailty and depression in older adults of the MARK-AGE study.GeroScience · 2024Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundFrailty development is partly dependent on multiple factors like low levels of nutrients and high levels of oxidative stress (OS) and inflammation potentially leading to a muscle-catabolic state. Measures of specific biomarker patterns including nutrients, OS and inflammatory biomarkers as well as muscle related biomarkers like 3-methylhistidine (3MH) may improve evaluation of mechanisms and the complex networks leading to frailty.
methodsIn 220 multi-morbid patients (≥ 60 years), classified as non-frail (n = 104) and frail (n = 116) according to Fried's frailty criteria, we measured serum concentrations of fat-soluble micronutrients, amino acids (AA), OS, interleukins (IL) 6 and 10, 3MH (biomarker for muscle protein turnover) and serum spectra of fatty acids (FA). We evaluated biomarker patterns by principal component analysis (PCA) and their cross-sectional associations with frailty by multivariate logistic regression analysis.
resultsTwo biomarker patterns [principal components (PC)] were identified by PCA. PC1 was characterized by high positive factor loadings (FL) of carotenoids, anti-inflammatory FA and vitamin D
conclusionsWe conclude that two specific patterns reflecting either inflammation-related or muscle-related biomarkers are both significantly associated with frailty among multi-morbid patients and that these specific biomarker patterns are more informative than single biomarker analyses considering frailty identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.