TY - JOUR
T1 - Antioxidants linked with physical, cognitive and psychological frailty
T2 - Analysis of candidate biomarkers and markers derived from the MARK-AGE study
AU - Rietman, M. Liset
AU - Spijkerman, Annemieke M.W.
AU - Wong, Albert
AU - van Steeg, Harry
AU - Bürkle, Alexander
AU - Moreno-Villanueva, María
AU - Sindlinger, Thilo
AU - Franceschi, Claudio
AU - Grubeck-Loebenstein, Beatrix
AU - Bernhardt, Jürgen
AU - Slagboom, P. Eline
AU - Toussaint, Olivier
AU - Debacq-Chainiaux, Florence
AU - Sikora, Ewa
AU - Gonos, Efstathios S.
AU - Breusing, Nicolle
AU - Stuetz, Wolfgang
AU - Weber, Daniela
AU - Grune, Tilman
AU - Basso, Andrea
AU - Piacenza, Francesco
AU - Malavolta, Marco
AU - Collino, Sebastiano
AU - Jansen, Eugene H.J.M.
AU - Verschuren, W. M.Monique
AU - Dollé, Martijn E.T.
N1 - Funding Information:
This work was supported by the Ministry of Health, Welfare and Sport of the Netherlands, the National Institute for Public Health and the Environment (grant number S132002 ) and the European Commission through the FP7 large-scale integrating project “European Study to Establish Biomarkers of Human Ageing” (MARK-AGE; grant agreement No.: 200880 ).
Funding Information:
This work was supported by the Ministry of Health, Welfare and Sport of the Netherlands, the National Institute for Public Health and the Environment (grant number S132002) and the European Commission through the FP7 large-scale integrating project ?European Study to Establish Biomarkers of Human Ageing? (MARK-AGE; grant agreement No.: 200880).
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2019/1
Y1 - 2019/1
N2 - Frailty among elderly people leads to an increased risk for negative health outcomes. To prevent frailty, we need a better understanding of the underlying mechanisms and early detection of individuals at risk. Both may be served by identifying candidate (bio)markers, i.e. biomarkers and markers, for the physical, cognitive, and psychological frailty domains. We used univariate (Rank-ANOVA) and multivariate (elastic net) approaches on the RASIG study population (age range: 35–74 years, n = 2220) of the MARK-AGE study to study up to 331 (bio)markers between individuals with and without frailty for each domain. Biomarkers and markers identified by both approaches were studied further regarding their association with frailty using logistic regression. Univariately, we found lower levels of antioxidants, including β-cryptoxanthin and zeaxanthin, in those who were physically, cognitively or psychologically frail. Additionally, self-reported health was worse in these three frail groups. Multivariately, we observed lower levels of β-cryptoxanthin and zeaxanthin in the cognitively frail. Levels of these carotenoids were inversely associated with the risk of being cognitively frail after adjusting for confounders. Antioxidants and self-reported health are potential (bio)markers to detect persons at risk of becoming frail. The biomarkers identified may indicate the involvement of inflammation in frailty, especially for physical and cognitive frailty.
AB - Frailty among elderly people leads to an increased risk for negative health outcomes. To prevent frailty, we need a better understanding of the underlying mechanisms and early detection of individuals at risk. Both may be served by identifying candidate (bio)markers, i.e. biomarkers and markers, for the physical, cognitive, and psychological frailty domains. We used univariate (Rank-ANOVA) and multivariate (elastic net) approaches on the RASIG study population (age range: 35–74 years, n = 2220) of the MARK-AGE study to study up to 331 (bio)markers between individuals with and without frailty for each domain. Biomarkers and markers identified by both approaches were studied further regarding their association with frailty using logistic regression. Univariately, we found lower levels of antioxidants, including β-cryptoxanthin and zeaxanthin, in those who were physically, cognitively or psychologically frail. Additionally, self-reported health was worse in these three frail groups. Multivariately, we observed lower levels of β-cryptoxanthin and zeaxanthin in the cognitively frail. Levels of these carotenoids were inversely associated with the risk of being cognitively frail after adjusting for confounders. Antioxidants and self-reported health are potential (bio)markers to detect persons at risk of becoming frail. The biomarkers identified may indicate the involvement of inflammation in frailty, especially for physical and cognitive frailty.
KW - Ageing
KW - Elastic net
KW - Frailty
KW - Machine learning
KW - Multidimensional
KW - Multivariate
KW - Univariate
UR - http://www.scopus.com/inward/record.url?scp=85047175950&partnerID=8YFLogxK
U2 - 10.1016/j.mad.2018.04.007
DO - 10.1016/j.mad.2018.04.007
M3 - Article
C2 - 29719199
AN - SCOPUS:85047175950
SN - 0047-6374
VL - 177
SP - 135
EP - 143
JO - Mechanisms of Ageing and Development
JF - Mechanisms of Ageing and Development
ER -