Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase

Author:

Henning Thorsten1234ORCID,Kochlik Bastian1235ORCID,Ara Ignacio67ORCID,González-Gross Marcela89ORCID,Fiorillo Edoardo10,Marongiu Michele10,Cucca Francesco1011,Rodriguez-Artalejo Fernando12ORCID,Carnicero Carreño Jose Antonio713,Rodriguez-Mañas Leocadio714ORCID,Grune Tilman1234ORCID,Weber Daniela123ORCID

Affiliation:

1. Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany

2. Food4Future (F4F), c/o Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Theodor-Echtermeyer-Weg 1, 14979 Grossbeeren, Germany

3. NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, 14558 Nuthetal, Germany

4. Institute of Nutritional Science, University of Potsdam, 14469 Potsdam, Germany

5. Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany

6. GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain

7. CIBER of Frailty and Healthy Aging, CIBERFES, Instituto de Salud Carlos III, 28029 Madrid, Spain

8. ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, 28040 Madrid, Spain

9. CIBER on Physiopathology of Obesity and Nutrition, CIBEROBN, Instituto de Salud Carlos III, 28029 Madrid, Spain

10. Institute for Genetic and Biomedical Research, National Research Council (CNR), 09042 Monserrato, Italy

11. Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy

12. Department of Preventive Medicine and Public Health, CIBERESP and IMDEA-Food Institute, Universidad Autonoma de Madrid, CEI UAM + CSIC, 28029 Madrid, Spain

13. Biomedical Research Foundation, Getafe University Hospital, 28905 Getafe, Spain

14. Division of Geriatrics, Hospital Universitario de Getafe, 28905 Getafe, Spain

Abstract

The influence of nutritional factors on frailty syndrome is still poorly understood. Thus, we aimed to confirm cross-sectional associations of diet-related blood biomarker patterns with frailty and pre-frailty statuses in 1271 older adults from four European cohorts. Principal component analysis (PCA) was performed based on plasma levels of α-carotene, β-carotene, lycopene, lutein + zeaxanthin, β-cryptoxanthin, α-tocopherol, γ-tocopherol and retinol. Cross-sectional associations between biomarker patterns and frailty status, according to Fried’s frailty criteria, were assessed by using general linear models and multinomial logistic regression models as appropriate with adjustments for the main potential confounders. Robust subjects had higher concentrations of total carotenoids, β-carotene and β-cryptoxanthin than frail and pre-frail subjects and had higher lutein + zeaxanthin concentrations than frail subjects. No associations between 25-Hydroxyvitamin D3 and frailty status were observed. Two distinct biomarker patterns were identified in the PCA results. The principal component 1 (PC1) pattern was characterized by overall higher plasma levels of carotenoids, tocopherols and retinol, and the PC2 pattern was characterized by higher loadings for tocopherols, retinol and lycopene together and lower loadings for other carotenoids. Analyses revealed inverse associations between PC1 and prevalent frailty. Compared to participants in the lowest quartile of PC1, those in the highest quartile were less likely to be frail (odds ratio: 0.45, 95% CI: 0.25–0.80, p = 0.006). In addition, those in the highest quartile of PC2 showed higher odds for prevalent frailty (2.48, 1.28–4.80, p = 0.007) than those in the lowest quartile. Our findings strengthen the results from the first phase of the FRAILOMIC project, indicating carotenoids are suitable components for future biomarker-based frailty indices.

Funder

European Union’s Seventh Framework Programme

Ministerio de Trabajo y Asuntos Sociales-IMSERSO

Ministerio de Sanidad, Servicios Sociales e Igualdad-IMSERSO

Ministerio de Economía, Industria y Competitividad

CIBER—Consorcio Centro de Investigación Biomédica en Red

Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación

European Regional Development Fund

Intramural Research Program of the National Institute on Aging, the National Institutes of Health

Horizon 2020 Research and Innovation Program of the European Union

Fondazione di Sardegna

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

Reference45 articles.

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2. Frailty as a Predictor of Future Falls Among Community-Dwelling Older People: A Systematic Review and Meta-Analysis;Kojima;J. Am. Med. Dir. Assoc.,2015

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4. Impact of Frailty on Mortality and Hospitalization in Chronic Heart Failure: A Systematic Review and Meta-Analysis;Yang;J. Am. Heart Assoc.,2018

5. Frailty and the Prediction of Negative Health Outcomes: A Meta-Analysis;Vermeiren;J. Am. Med. Dir. Assoc.,2016

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