Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Biologically Younger Individuals, as Identified by MARK-AGE Biological Age Scores, Display a Distinct Favourable Blood Chemistry Profile Regardless of Age
Δημιουργός/Συγγραφέας:	Moreno-Villanueva, María Junk, Michael Mosieniak, Grażyna Sikora, Ewa Capri, Miriam Garagnani, Paolo Pirazzini, Chiara Breusing, Nicolle Bernhardt, Jürgen Schön, Christiane Blasco, María Zondag, Gerben Debacq-Chainiaux, Florence Grubeck-Loebenstein, Beatrix Weinberger, Birgit Fiegl, Simone Mocchegiani, Eugenio Malavolta, Marco Giacconi, Robertina Piacenza, Francesco Collino, Sebastiano [EL] Γκόνος, Ευστάθιος[EN] Gonos, Efstathios S. Gradinaru, Daniela Dollé, Martijn E T Jansen, Eugène Salmon, Michel Kristensen, Peter Griffiths, Helen Libert, Claude Vanhooren, Valerie Simm, Andreas Talbot, Duncan Caiafa, Paola Bacalini, Maria Giulia Zampieri, Michele Friguet, Bertrand Petropoulos, Isabelle Slagboom, P Eline Westendorp, Rudi Hervonnen, Antti Hurme, Mikko Aspinall, Richard Govind, Sheila Weber, Daniela Stuetz, Wolfgang Hoeijmakers, Jan H J Gavriushina, Iuliia Sampson, Oliver R Castellani, Gastone Berthold, Michael R Grune, Tilman Franceschi, Claudio Bürkle, Alexander
Ημερομηνία:	2026-03
Γλώσσα:	Αγγλικά
ISSN:	1474-9718 1474-9726
DOI:	10.1111/acel.70437
Άλλο:	41823324
Περίληψη:	Biomarkers of ageing are defined as age-related changes in body function or composition that could serve as a measure of 'biological' age and predict the onset of age-related diseases and/or residual life expectancy. We conducted the MARK-AGE Study, a European population study (3300 subjects aged 35-74) to identify a powerful set of biomarkers of ageing. A total of 362 clinical-chemistry, genetic, cellular or molecular biomarkers were analysed for each subject. Using statistical models as well as machine learning we derived mathematical formulas for females and for males that yield a 'bioage score' of an individual, based on sets of 10 biomarkers for females and 10 for males. Collectively, these biomarkers model chronological age of our study population and, thus yield the 'biological' age of a certain person. 'Age difference' (defined as biological minus chronological age) should then identify biologically older or younger individuals. Using our set of biomarkers, subjects with Down Syndrome and smoking females are biologically older, whereas postmenopausal females taking hormone replacement therapy are biologically younger. Strikingly, our data reveal that age difference of MARK-AGE subjects, but not chronological age, is linearly correlated with levels of HDL, 25-hydroxy-Vitamin D, and CD3+ CD4+/CD45+ ratio in such a way that biologically younger subjects display values that are favourable to good health, whereas other markers such as glucose and HbA1c are correlated with chronological age, but not age difference. This dichotomy of correlations may point to different roles of such markers, that is, drivers of the ageing process versus bystanders of ageing.
Τίτλος πηγής δημοσίευσης:	Aging cell
Τόμος/Κεφάλαιο:	25
Τεύχος:	3
Θεματική Κατηγορία:	[EL] Μοριακή Βιολογία[EN] Molecular Biology [EL] Βιοχημεία[EN] Biochemistry [EL] Κυτταρολογία[EN] Cytology [EL] Επιδημίες. Επιδημιολογία[EN] Epidemics. Epidemiology [EL] Δημόσια υγεία. Υγιεινή. Προληπτική ιατρική[EN] Public health. Hygiene. Preventive medicine
Λέξεις-Κλειδιά:	biochemical markers biological age score human
Χρηματοδότης:	European Commission
Αναγνωριστικό χρηματοδοτικού προγράμματος:	HEALTH-F4-2008-200880
Κάτοχος πνευματικών δικαιωμάτων:	© 2026 DNage B.V. BioTeSys GmbH and The Author(s). Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.
Όροι και προϋποθέσεις δικαιωμάτων:	This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Ηλεκτρονική διεύθυνση στον εκδότη (link):	https://doi.org/10.1111/acel.70437
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο