RCS The Metabolomics Core (RCS) has developed a diverse set of complementary metabolomics technologies that provide a rare combination of broad coverage and analytical precision, and deploys these tools in scientific and clinical collaborations that focus on metabolic signatures associated with functional decline in aging. The Duke Stedman Center's metabolomics core has been an integral component ofthe Duke's Pepper Older Americans Independence Center (OAIC) for the past 7 years and is now enhanced as an independent core. The metabolomics core is well known for its work in applying targeted mass-spectrometry (MS)-based metabolic profiling for understanding of disease and biological mechanisms. The Core will provide this analytic expertise to Pepper projects. Supported projects include: Pilot Projects (one in Year 1), Pepper Research Career Development awardees (two in Years 1-3), External Projects (five in Years 1-5), and future pilot and career development projects as they are selected and initiated. Ofthe external projects, one will characterize metabolomics biomarkers related to successful aging through the lifespan, and three interventional projects will critically address the modifiability of pertinent metabolites with treatments aimed at improving function (weight loss, protein supplements, exercise). Importantly, the lab has also developed and applied non-targeted gas chromatography (GC)/MS methods to obtain broader surveys of metabolic changes in biological systems. Use of non-targeted GC/MS allows measurement of analytes that are not included in the targeted modules, and thereby represents a tool for discovery and hypothesis formulation. Through activities of RC3, we propose to expand the scope ofthe targeted methods and have proposed two development projects that have evolved from our research in aging, thereby providing more powerful tools to support our work. It is also important to note that the RC3 team has recently engaged with other Pepper Centers, thereby forming important collaborative connections between the Duke Pepper OAIC and those groups. Success of RC3 will be highly innovative, because it will provide """"""""one-stop shopping"""""""" access to comprehensive targeted (quantitative) and non-targeted (discovery) metabolomics tools via a single portal. Importantly, faculty and staff associated with this core are highly experienced in metabolic research, and will assist Duke's Pepper OAIC faculty and fellows with study design and interpretation, thus ensuring a maximally productive interaction of users with this core.

Public Health Relevance

The Metabolomics Core provides analytic tools to help elucidate metabolic signatures underlying age-related functional decline. In common with the Biochemical Pathways Core (RC2), the goal is to identify and validate biomarkers that predict risk for functional decline and to monitor the efficacy of interventions targeted toward improving physical function, metabolic health, and longevity.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
2P30AG028716-08
Application #
8673966
Study Section
Special Emphasis Panel (ZAG1-ZIJ-8 (J1))
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
8
Fiscal Year
2013
Total Cost
$84,813
Indirect Cost
$30,792
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Gray, Shelly L; Hart, Laura A; Perera, Subashan et al. (2018) Meta-analysis of Interventions to Reduce Adverse Drug Reactions in Older Adults. J Am Geriatr Soc 66:282-288
Belsky, Daniel W; Moffitt, Terrie E; Cohen, Alan A et al. (2018) Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing? Am J Epidemiol 187:1220-1230
Colón-Emeric, Cathleen S; Corazzini, Kirsten N; McConnell, Eleanor S et al. (2018) Resident Vignettes for Assessing Care Quality in Nursing Homes. J Am Med Dir Assoc 19:405-410
Chan, Victor T T; Sun, Zihan; Tang, Shumin et al. (2018) Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis. Ophthalmology :
Belsky, Daniel W; Domingue, Benjamin W; Wedow, Robbee et al. (2018) Genetic analysis of social-class mobility in five longitudinal studies. Proc Natl Acad Sci U S A 115:E7275-E7284
Noppert, G A; Aiello, A E; O'Rand, A M et al. (2018) Investigating pathogen burden in relation to a cumulative deficits index in a representative sample of US adults. Epidemiol Infect 146:1968-1976
Cary Jr, Michael P; Goode, Victoria; Crego, Nancy et al. (2018) Hospital Readmission in Total Hip Replacement Patients in 2009 and 2014. Arch Phys Med Rehabil 99:1213-1216
Furman, Bridgette D; Kent, Collin L; Huebner, Janet L et al. (2018) CXCL10 is upregulated in synovium and cartilage following articular fracture. J Orthop Res 36:1220-1227
Huynh, Frank K; Hu, Xiaoke; Lin, Zhihong et al. (2018) Loss of sirtuin 4 leads to elevated glucose- and leucine-stimulated insulin levels and accelerated age-induced insulin resistance in multiple murine genetic backgrounds. J Inherit Metab Dis 41:59-72
Huang, ZeYu; Huang, Cheng; Xie, JinWei et al. (2018) Analysis of a large data set to identify predictors of blood transfusion in primary total hip and knee arthroplasty. Transfusion 58:1855-1862

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