A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts.
Geroscience
; 43(3): 1317-1329, 2021 06.
Article
em En
| MEDLINE
| ID: mdl-33599920
ABSTRACT
Phenotype-specific omic expression patterns in people with frailty could provide invaluable insight into the underlying multi-systemic pathological processes and targets for intervention. Classical approaches to frailty have not considered the potential for different frailty phenotypes. We characterized associations between frailty (with/without disability) and sets of omic factors (genomic, proteomic, and metabolomic) plus markers measured in routine geriatric care. This study was a prevalent case control using stored biospecimens (urine, whole blood, cells, plasma, and serum) from 1522 individuals (identified as robust (R), pre-frail (P), or frail (F)] from the Toledo Study of Healthy Aging (R=178/P=184/F=109), 3 City Bordeaux (111/269/100), Aging Multidisciplinary Investigation (157/79/54) and InCHIANTI (106/98/77) cohorts. The analysis included over 35,000 omic and routine laboratory variables from robust and frail or pre-frail (with/without disability) individuals using a machine learning framework. We identified three protective biomarkers, vitamin D3 (OR 0.81 [95% CI 0.68-0.98]), lutein zeaxanthin (OR 0.82 [95% CI 0.70-0.97]), and miRNA125b-5p (OR 0.73, [95% CI 0.56-0.97]) and one risk biomarker, cardiac troponin T (OR 1.25 [95% CI 1.23-1.27]). Excluding individuals with a disability, one protective biomarker was identified, miR125b-5p (OR 0.85, [95% CI 0.81-0.88]). Three risks of frailty biomarkers were detected pro-BNP (OR 1.47 [95% CI 1.27-1.7]), cardiac troponin T (OR 1.29 [95% CI 1.21-1.38]), and sRAGE (OR 1.26 [95% CI 1.01-1.57]). Three key frailty biomarkers demonstrated a statistical association with frailty (oxidative stress, vitamin D, and cardiovascular system) with relationship patterns differing depending on the presence or absence of a disability.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Fragilidade
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Humans
Idioma:
En
Revista:
Geroscience
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Espanha