Work

Using Observational Data to Inform Candidate Phenotypes for Geroscience Trials

Year: 2019

Type: conference-abstract

Abstract: Geroscience trials will manipulate aging mechanisms which may have pleiotropic effects and alter multiple biologic processes and clinical outcomes. Determining an intervention’s efficacy and safety will require measuring several aspects of aging and intermediate endpoints with less regard to specific diseases. Picking the right measurements will significantly impact a trial’s cost-effectiveness and chance of success. Observational studies are ideal resources to test candidate phenotypes before investing in trials. We present a decade’s worth of results from the Cardiovascular Health Study as examples of using observational data to inform measurement in geroscience trials. Specifically, we illustrate the underlying theory, construction, operational characteristics, and inter-relationships of candidate phenotypes spanning circulating biomarkers, tissue and organ structure, and functional status, all of which can be used in geroscience trials depending on the intervention’s target and predicted outcome.

Source: Innovation in Aging

DOI: 10.1093/geroni/igz038.2729

Authors: Jason L Sanders, Alice Arnold, Robert Boudreau, Stephen Kritchevsky, Anne Newman

Institutions: Brigham and Women's Hospital, University of Washington, University of Pittsburgh, Wake Forest University

Language: English

Topic: Genetics, Aging, and Longevity in Model Organisms

Subfield: Aging

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,977