ArticleThe journal of nutrition, health & aging2022
Biomarkers of Age-Related Frailty and Frailty Related to Diseases: An Exploratory, Cross-Sectional Analysis from the MAPT Study.
Article in The journal of nutrition, health & aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Challenges in Identifying Biomarkers of Frailty Syndrome: A Systematic Review.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Validation and refinement of a biomarker panel for frailty assessment and prediction of muscle weakness in older adults.npj aging · 2026Article
- Association of plasma growth differentiation factor-15 with the frailty phenotype - Evidence from the COGFRAIL study.The Journal of frailty & aging · 2026Article
- Interpreting p-tau217 on the ward: frailty and plasma biomarkers in acutely admitted older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Muscle fibre denervation in ageing.Clinical science (London, England : 1979) · 2026Review
- Synthetic MRI Neuroimaging Correlates of Frailty: Correlations Between Frailty Scales and Brain Structural Integrity.Aging medicine (Milton (N.S.W)) · 2026Article
- Using Computational Video Analysis in Aging Mice to Evaluate the Effects of Chronic Monotherapy, Polypharmacy, and Deprescribing Over Time.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Physical and biopsychosocial frailty, cognitive phenotypes, and plasma biomarkers for Alzheimer's disease in Chinese older adults: A population-based study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Estimated glucose disposal rate predicts frailty through diabetes: Evidence from machine learning and mediation models in NHANES.PloS one · 2025Article
- Dietary inflammatory index, mediating biomarkers and incident frailty in Chinese community-dwelling older adults.The journal of nutrition, health & aging · 2024Article
- Growth Differentiation Factor 15 and Diet Quality Trajectory Interact to Determine Frailty Incidence among Middle-Aged Urban Adults.The Journal of nutrition · 2024Article
- Correlation between frailty and reduction in cortical thickness in patients with chronic obstructive pulmonary disease.Scientific reports · 2024Article
- Midlife cumulative deficit frailty predicts Alzheimer's disease-related plasma biomarkers in older adults.Age and ageing · 2024Article
- Frailty and Associated Factors among Chinese Centenarians.The journal of nutrition, health & aging · 2022Article
- Editorial: A Golden Age of Aging Biomarker Discovery.The journal of nutrition, health & aging · 2022Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFrailty may in most cases result from two main causes: the aging process (age-related frailty) and diseases (evolving chronic conditions or acute medical illnesses - disease-related frailty). The biological determinants characterizing these two main causes of frailty may be different.
objectivesThe aim of this study is to compare the biological and neuroimaging profile of people without frailty, those with age-related frailty, and subjects with disease-related frailty in community-dwelling older adults. MATERIAL AND
methodsWe performed a secondary, cross-sectional analysis from the Multidomain Alzheimer Preventive Trial (MAPT). We included 1199 subjects without frailty throughout the 5-year follow-up, 82 subjects with incident age-related frailty, and 53 with incident disease-related frailty. Available blood biomarkers involved nutritional (eg, vitamin D, omega-3 fatty acids), inflammatory-related (IL-6, TNFR1, GDF15), neurodegenerative (eg, beta-amyloid, neurofilament light chain) and neuroimaging markers (MRI, Amyloid-PET).
resultsAlthough not statistically significant, the results of the unadjusted model showed increasing gradients for inflammatory markers (GDF15, TNFR1) and decreasing gradients for nutritional and neuroimaging markers (omega 3 index, hippocampal volume) from age-related frailty participants to individuals with disease-related frailty. Considering the linear models we observed higher GDF15 values in disease-related frailty group compared to age-related frailty individuals [β = 242.8 (49.5, 436.2)]. We did not find any significant difference between subjects without frailty and those with age-related frailty. Subjects with disease-related frailty compared to subjects without frailty had lower values of DHA [β = -2.42 (-4.76, -0.08)], Omega 3 Index [β = -0.50 (-0.95, -0.06)] and hippocampal volume [β = -0.22 (-0.42,-0.02)]. They also had higher values of GDF15 [β = 246.1 (88.9, 403.4)] and TNFR1 [β = 157.5 (7.8, 307.2)].
conclusionAge-related frailty and disease-related frailty may represent different degrees of frailty severity on a biological level. Further research is needed to identify biomarkers potentially able to distinguish these classifications of frailty.
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