Metabolomics is the study of the low-molecular weight metabolites found in cells, tissues, and biological fluids. Chromatography coupled mass spectrometry and NMR are the most widely used methods in both broad-spectrum and targeted metabolomics. RTI scientists have been using GC/MS profiling methods since he 1980s. The Gas Chromatography/Mass Spectrometry (GC/MS) and Inorganics Core (Core) will support the RCMRC as needed to support individual Center projects using standardized approaches. Part of the Core reponsibilities will be to refine aspects of the methods and test them as needed to create the nationwide standards. If requested, we will provide assistance to plan optimal conditions for the collection, shipping, and storage of samples for both ongoing and planned feasibility projects. Samples will be received, processed, and stored, drawing on the resources of the RTI Biorepository for documentation and client transparency of chain of custody. We will conduct broad-spectrum and targeted analysis of endogenous metabolites in various biological matrices (cellular media, botanical samples, whole blood, plasma, serum, urine, feces, kidney, liver, glandular, and other tissues and fluids) using GC/MS, GC/TOF/MS, and 2D GC/TOF/MS. We also bring inorganic analysis capabilities to support metabolomics studies with an array of state-of-the-art atomic spectrometric instrumentation, including ICP/MS and LC/ICP/MS to provide broadspectrum and targeted trace element (Zn, Cu, Fe, Se, Cr, Mn, Mo, Co, V, etc.) profiles in biological matrices. Acquired data will be compiled and processed as defined jointly with the Center Management Team and the Data Repository and Coordinating Center. We will conduct statistical data analysis and metabolite identification. Finally, the Core will work to ensure adequate capacity and incorporate new capabilities as they are developed to meet ongoing client and collaborators needs. This will include working with the other cores to advance scientist training, to create a pipeline for Center sustainability, and to test and integrate into Core capabilities new instrumentation such as ion mobility, multidimensional GC with high resolution MS, and alternative data structures to enable cross-platform data integration.
The GC/MS and Inorganics Core provides a key element of the overall metabolomics support provided by the RTI RCMRC using standardized methods. Through targeted and broad-spectrum analysis of volatile and semivolatile organic and inorganic metabolites, this core provides information that complements that generated by the NMR and LC/MS cores to enable a full spectrum of capabilities for metabolomics investigations.
|Johnson-Weaver, Brandi T; McRitchie, Susan; Mercier, Kelly A et al. (2017) Effect of endotoxin and alum adjuvant vaccine on peanut allergy. J Allergy Clin Immunol :|
|McClenathan, Bruce M; Stewart, Delisha A; Spooner, Christina E et al. (2017) Metabolites as biomarkers of adverse reactions following vaccination: A pilot study using nuclear magnetic resonance metabolomics. Vaccine 35:1238-1245|
|Chou, Hsuan; Pathmasiri, Wimal; Deese-Spruill, Jocelin et al. (2017) Metabolomics reveal physiological changes in mayfly larvae (Neocloeon triangulifer) at ecological upper thermal limits. J Insect Physiol 101:107-112|
|Fennell, Timothy R; Mortensen, Ninell P; Black, Sherry R et al. (2017) Disposition of intravenously or orally administered silver nanoparticles in pregnant rats and the effect on the biochemical profile in urine. J Appl Toxicol 37:530-544|
|Mercier, Kelly; McRitchie, Susan; Pathmasiri, Wimal et al. (2017) Preterm neonatal urinary renal developmental and acute kidney injury metabolomic profiling: an exploratory study. Pediatr Nephrol 32:151-161|
|Laine, Jessica E; Bailey, Kathryn A; Olshan, Andrew F et al. (2017) Neonatal Metabolomic Profiles Related to Prenatal Arsenic Exposure. Environ Sci Technol 51:625-633|
|Ewald, D Rose; Sumner, Susan C J (2016) Blood type biochemistry and human disease. Wiley Interdiscip Rev Syst Biol Med 8:517-535|
|Loeser, R F; Pathmasiri, W; Sumner, S J et al. (2016) Association of urinary metabolites with radiographic progression of knee osteoarthritis in overweight and obese adults: an exploratory study. Osteoarthritis Cartilage 24:1479-86|
|Gelaye, Bizu; Sumner, Susan J; McRitchie, Susan et al. (2016) Maternal Early Pregnancy Serum Metabolomics Profile and Abnormal Vaginal Bleeding as Predictors of Placental Abruption: A Prospective Study. PLoS One 11:e0156755|
|Wang, Han; Liang, Shuang; Wang, Maoqing et al. (2016) Potential serum biomarkers from a metabolomics study of autism. J Psychiatry Neurosci 41:27-37|
Showing the most recent 10 out of 28 publications