Cargando…

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

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 (PC...

Descripción completa

Detalles Bibliográficos
Autores principales: Henning, Thorsten, Kochlik, Bastian, Ara, Ignacio, González-Gross, Marcela, Fiorillo, Edoardo, Marongiu, Michele, Cucca, Francesco, Rodriguez-Artalejo, Fernando, Carnicero Carreño, Jose Antonio, Rodriguez-Mañas, Leocadio, Grune, Tilman, Weber, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005398/
https://www.ncbi.nlm.nih.gov/pubmed/36904142
http://dx.doi.org/10.3390/nu15051142
_version_ 1784905070402338816
author Henning, Thorsten
Kochlik, Bastian
Ara, Ignacio
González-Gross, Marcela
Fiorillo, Edoardo
Marongiu, Michele
Cucca, Francesco
Rodriguez-Artalejo, Fernando
Carnicero Carreño, Jose Antonio
Rodriguez-Mañas, Leocadio
Grune, Tilman
Weber, Daniela
author_facet Henning, Thorsten
Kochlik, Bastian
Ara, Ignacio
González-Gross, Marcela
Fiorillo, Edoardo
Marongiu, Michele
Cucca, Francesco
Rodriguez-Artalejo, Fernando
Carnicero Carreño, Jose Antonio
Rodriguez-Mañas, Leocadio
Grune, Tilman
Weber, Daniela
author_sort Henning, Thorsten
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10005398
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100053982023-03-11 Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase Henning, Thorsten Kochlik, Bastian Ara, Ignacio González-Gross, Marcela Fiorillo, Edoardo Marongiu, Michele Cucca, Francesco Rodriguez-Artalejo, Fernando Carnicero Carreño, Jose Antonio Rodriguez-Mañas, Leocadio Grune, Tilman Weber, Daniela Nutrients Article 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. MDPI 2023-02-24 /pmc/articles/PMC10005398/ /pubmed/36904142 http://dx.doi.org/10.3390/nu15051142 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Henning, Thorsten
Kochlik, Bastian
Ara, Ignacio
González-Gross, Marcela
Fiorillo, Edoardo
Marongiu, Michele
Cucca, Francesco
Rodriguez-Artalejo, Fernando
Carnicero Carreño, Jose Antonio
Rodriguez-Mañas, Leocadio
Grune, Tilman
Weber, Daniela
Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title_full Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title_fullStr Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title_full_unstemmed Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title_short Patterns of Dietary Blood Markers Are Related to Frailty Status in the FRAILOMIC Validation Phase
title_sort patterns of dietary blood markers are related to frailty status in the frailomic validation phase
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005398/
https://www.ncbi.nlm.nih.gov/pubmed/36904142
http://dx.doi.org/10.3390/nu15051142
work_keys_str_mv AT henningthorsten patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT kochlikbastian patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT araignacio patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT gonzalezgrossmarcela patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT fiorilloedoardo patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT marongiumichele patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT cuccafrancesco patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT rodriguezartalejofernando patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT carnicerocarrenojoseantonio patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT rodriguezmanasleocadio patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT grunetilman patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase
AT weberdaniela patternsofdietarybloodmarkersarerelatedtofrailtystatusinthefrailomicvalidationphase