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Grant: Operating Grant : Adv Theoretical Meth Innov Hlth Res-Longitudinal Studies Aging

Université de Sherbrooke

$193,482.00

Novel approaches to aging physiology: Using statistics and data mining to understand dysregulation of biomarker networks in human populations

EF 2011-12

Résumé
Aging researchers still do not know what mechanisms are responsible for aging. The main theories put forward have not been well supported by evidence. It now appears that aging is not caused by any single process, but rather by the declining ability of the body to properly regulate many biological processes. This decline arises from the difficulty in maintaining the complex systems necessary for normal functioning, systems that involve large numbers of molecules integrated in precisely regulated networks. Although this idea has the potential to explain the aging process, the large number of molecules, the extensive interactions and feedback relationships among them, and the long timescales make experimental approaches unfeasible, and no one has yet tested this "dysregulation" hypothesis of aging. A novel approach is required to simultaneously incorporate information about many molecules, their changes over time, and their relationships to each other. This project, the first such study, uses hundreds of blood and clinical measures collected in several long-term human datasets. We have access to three of the best such datasets in the world, a unique resource that allowing us to test whether results can be generalized across different populations. We apply novel statistical and informatics methods designed for high-dimensional data, including techniques to (a) find clusters of similar individuals and identify their shared biological patterns, (b) detect a faint signal among noise, and (c) assess causal effects among pathways across years. Preliminary analyses have identified multiple new pathways involved in aging and support our hypothesis of dysregulation. Our project will further test this hypothesis, identifying which pathways are involved and how. Understanding biological pathways will in turn allow us to identify social determinants of aging rate, develop clinical tools for measuring patient aging, and further biomedical research on chronic disease pathways.
Programme
Operating Grant : Adv Theoretical Meth Innov Hlth Res-Longitudinal Studies Aging
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
256214
Name
Cohen Alan A
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Biomedical
Prcname2
Operating Grant: Innovations in Health Research
Projecttitle
Novel approaches to aging physiology: Using statistics and data mining to understand dysregulation of biomarker networks in human populations
Programtype2
Operating Grants
Orgnameinp2
Université de Sherbrooke
Cihramount2
$193,482
Cihrequipment2
$0
Programname2
Operating Grant : Adv Theoretical Meth Innov Hlth Res-Longitudinal Studies Aging
Keyworddelim
Aging; Biomarker; Cluster Analysis; Data Mining; Dysregulation; Homeostasis; Longitudinal Study; Physiology; Regulatory Network; Systems Biology
Abstract
Aging researchers still do not know what mechanisms are responsible for aging. The main theories put forward have not been well supported by evidence. It now appears that aging is not caused by any single process, but rather by the declining ability of the body to properly regulate many biological processes. This decline arises from the difficulty in maintaining the complex systems necessary for normal functioning, systems that involve large numbers of molecules integrated in precisely regulated networks. Although this idea has the potential to explain the aging process, the large number of molecules, the extensive interactions and feedback relationships among them, and the long timescales make experimental approaches unfeasible, and no one has yet tested this "dysregulation" hypothesis of aging. A novel approach is required to simultaneously incorporate information about many molecules, their changes over time, and their relationships to each other. This project, the first such study, uses hundreds of blood and clinical measures collected in several long-term human datasets. We have access to three of the best such datasets in the world, a unique resource that allowing us to test whether results can be generalized across different populations. We apply novel statistical and informatics methods designed for high-dimensional data, including techniques to (a) find clusters of similar individuals and identify their shared biological patterns, (b) detect a faint signal among noise, and (c) assess causal effects among pathways across years. Preliminary analyses have identified multiple new pathways involved in aging and support our hypothesis of dysregulation. Our project will further test this hypothesis, identifying which pathways are involved and how. Understanding biological pathways will in turn allow us to identify social determinants of aging rate, develop clinical tools for measuring patient aging, and further biomedical research on chronic disease pathways.
Competitiondate
201110
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Cohen, Alan A
Approvedterm
3 ans 0 mois
Cihrcontribution2
Institute of Aging~ $193,482~ $0~