Literature DB >> 25818235

MARK-AGE biomarkers of ageing.

Alexander Bürkle1, María Moreno-Villanueva2, Jürgen Bernhard3, María Blasco4, Gerben Zondag5, Jan H J Hoeijmakers6, Olivier Toussaint7, Beatrix Grubeck-Loebenstein8, Eugenio Mocchegiani9, Sebastiano Collino10, Efstathios S Gonos11, Ewa Sikora12, Daniela Gradinaru13, Martijn Dollé14, Michel Salmon15, Peter Kristensen16, Helen R Griffiths17, Claude Libert18, Tilman Grune19, Nicolle Breusing20, Andreas Simm21, Claudio Franceschi22, Miriam Capri22, Duncan Talbot23, Paola Caiafa24, Bertrand Friguet25, P Eline Slagboom26, Antti Hervonen27, Mikko Hurme27, Richard Aspinall28.   

Abstract

Many candidate biomarkers of human ageing have been proposed in the scientific literature but in all cases their variability in cross-sectional studies is considerable, and therefore no single measurement has proven to serve a useful marker to determine, on its own, biological age. A plausible reason for this is the intrinsic multi-causal and multi-system nature of the ageing process. The recently completed MARK-AGE study was a large-scale integrated project supported by the European Commission. The major aim of this project was to conduct a population study comprising about 3200 subjects in order to identify a set of biomarkers of ageing which, as a combination of parameters with appropriate weighting, would measure biological age better than any marker in isolation.
Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Ageing biomarkers; Human studies; MARK-AGE

Mesh:

Substances:

Year:  2015        PMID: 25818235     DOI: 10.1016/j.mad.2015.03.006

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  72 in total

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Journal:  Transl Med Aging       Date:  2018-08-17

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Journal:  Int Arch Occup Environ Health       Date:  2019-11-06       Impact factor: 3.015

4.  Plant-Rich Dietary Patterns, Plant Foods and Nutrients, and Telomere Length.

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Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

Review 5.  Devising a new dialogue for nutrition science: how life course perspective, U-shaped thinking, whole organism thinking, and language precision contribute to our understanding of biological heterogeneity and forge a fresh advance toward precision medicine.

Authors:  David J Waters
Journal:  J Anim Sci       Date:  2020-03-01       Impact factor: 3.159

6.  Metabolic Biomarkers of Aging and Aging-related Diseases in Chinese Middle-Aged and Elderly Men.

Authors:  W Liu; Y Liu; Y Yang; W Ou; X Chen; B Huang; H Wang; M Liu
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

Review 7.  Plasma-Based Strategies for Therapeutic Modulation of Brain Aging.

Authors:  Viktoria Kheifets; Steven P Braithwaite
Journal:  Neurotherapeutics       Date:  2019-07       Impact factor: 7.620

Review 8.  [Geriatric intensive care patients : Perspectives and limits of geriatric intensive care medicine].

Authors:  U Müller-Werdan; H-J Heppner; G Michels
Journal:  Med Klin Intensivmed Notfmed       Date:  2018-04-18       Impact factor: 0.840

9.  Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age.

Authors:  Zichen Wang; Li Li; Benjamin S Glicksberg; Ariel Israel; Joel T Dudley; Avi Ma'ayan
Journal:  J Biomed Inform       Date:  2017-11-04       Impact factor: 6.317

10.  Apolipoprotein J as a predictive biomarker for restenosis after carotid endarterectomy: a retrospective study.

Authors:  Anastasios Maskanakis; Nikolaos Patelis; Georgios Karaolanis; Spyridon Davakis; Dimitrios Schizas; Despina Perrea; Chris Klonaris; Sotirios Georgopoulos; Theodoros Liakakos; Chris Bakoyiannis
Journal:  Acta Pharmacol Sin       Date:  2018-02-08       Impact factor: 6.150

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