TY - JOUR
T1 - Novel ageing-biomarker discovery using data-intensive technologies
AU - Griffiths, H. R.
AU - Augustyniak, E. M.
AU - Bennett, S. J.
AU - Debacq-Chainiaux, F.
AU - Dunston, C. R.
AU - Kristensen, P.
AU - Melchjorsen, C. J.
AU - Navarrete, Santos A.
AU - Simm, A.
AU - Toussaint, O.
PY - 2014/12/12
Y1 - 2014/12/12
N2 - Ageing is accompanied by many visible characteristics. Other biological and physiological markers are also well-described e.g. loss of circulating sex hormones and increased inflammatory cytokines. Biomarkers for healthy ageing studies are presently predicated on existing knowledge of ageing traits. The increasing availability of data-intensive methods enables deep-analysis of biological samples for novel biomarkers. We have adopted two discrete approaches in MARK-AGE Work Package 7 for biomarker discovery; (1) microarray analyses and/or proteomics in cell systems e.g. endothelial progenitor cells or T cell ageing including a stress model; and (2) investigation of cellular material and plasma directly from tightly-defined proband subsets of different ages using proteomic, transcriptomic and miR array. The first approach provided longitudinal insight into endothelial progenitor and T cell ageing. This review describes the strategy and use of hypothesis-free, data-intensive approaches to explore cellular proteins, miR, mRNA and plasma proteins as healthy ageing biomarkers, using ageing models and directly within samples from adults of different ages. It considers the challenges associated with integrating multiple models and pilot studies as rational biomarkers for a large cohort study. From this approach, a number of high-throughput methods were developed to evaluate novel, putative biomarkers of ageing in the MARK-AGE cohort.
AB - Ageing is accompanied by many visible characteristics. Other biological and physiological markers are also well-described e.g. loss of circulating sex hormones and increased inflammatory cytokines. Biomarkers for healthy ageing studies are presently predicated on existing knowledge of ageing traits. The increasing availability of data-intensive methods enables deep-analysis of biological samples for novel biomarkers. We have adopted two discrete approaches in MARK-AGE Work Package 7 for biomarker discovery; (1) microarray analyses and/or proteomics in cell systems e.g. endothelial progenitor cells or T cell ageing including a stress model; and (2) investigation of cellular material and plasma directly from tightly-defined proband subsets of different ages using proteomic, transcriptomic and miR array. The first approach provided longitudinal insight into endothelial progenitor and T cell ageing. This review describes the strategy and use of hypothesis-free, data-intensive approaches to explore cellular proteins, miR, mRNA and plasma proteins as healthy ageing biomarkers, using ageing models and directly within samples from adults of different ages. It considers the challenges associated with integrating multiple models and pilot studies as rational biomarkers for a large cohort study. From this approach, a number of high-throughput methods were developed to evaluate novel, putative biomarkers of ageing in the MARK-AGE cohort.
KW - Biomarker discovery
KW - Endothelial progenitor cells
KW - Hyperoxia
KW - MiR array
KW - Proteomics
UR - http://www.scopus.com/inward/record.url?scp=84947021183&partnerID=8YFLogxK
U2 - 10.1016/j.mad.2015.05.010
DO - 10.1016/j.mad.2015.05.010
M3 - Review article
C2 - 26056714
AN - SCOPUS:84947021183
SN - 0047-6374
VL - 151
SP - 114
EP - 121
JO - Mechanisms of Ageing and Development
JF - Mechanisms of Ageing and Development
ER -