Articles by Charmion Cruickshank-Quinn in JoVE
Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis Charmion Cruickshank-Quinn1, Kevin D. Quinn1, Roger Powell1, Yanhui Yang1, Michael Armstrong1, Spencer Mahaffey2, Richard Reisdorph1, Nichole Reisdorph1 1Department of Immunology, National Jewish Health, 2Department of Pharmacology, School of Medicine, University of Colorado Denver The reliability of results in metabolomics experiments depends on the effectiveness and reproducibility of the sample preparation. Described is a rigorous and in-depth method that enables extraction of metabolites from biological fluids with the option of subsequently analyzing up to thousands of compounds, or just the compound classes of interest.
Other articles by Charmion Cruickshank-Quinn on PubMed
MSPrep--summarization, Normalization and Diagnostics for Processing of Mass Spectrometry-based Metabolomic Data Bioinformatics (Oxford, England). Jan, 2014 | Pubmed ID: 24174567 Although R packages exist for the pre-processing of metabolomic data, they currently do not incorporate additional analysis steps of summarization, filtering and normalization of aligned data. We developed the MSPrep R package to complement other packages by providing these additional steps, implementing a selection of popular normalization algorithms and generating diagnostics to help guide investigators in their analyses.
Transient and Persistent Metabolomic Changes in Plasma Following Chronic Cigarette Smoke Exposure in a Mouse Model PloS One. 2014 | Pubmed ID: 25007263 Cigarette smoke exposure is linked to the development of a variety of chronic lung and systemic diseases in susceptible individuals. Metabolomics approaches may aid in defining disease phenotypes, may help predict responses to treatment, and could identify biomarkers of risk for developing disease. Using a mouse model of chronic cigarette smoke exposure sufficient to cause mild emphysema, we investigated whether cigarette smoke induces distinct metabolic profiles and determined their persistence following smoking cessation. Metabolites were extracted from plasma and fractionated based on chemical class using liquid-liquid and solid-phase extraction prior to performing liquid chromatography mass spectrometry-based metabolomics. Metabolites were evaluated for statistically significant differences among group means (p-value≤0.05) and fold change ≥1.5). Cigarette smoke exposure was associated with significant differences in amino acid, purine, lipid, fatty acid, and steroid metabolite levels compared to air exposed animals. Whereas 60% of the metabolite changes were reversible, 40% of metabolites remained persistently altered even following 2 months of smoking cessation, including nicotine metabolites. Validation of metabolite species and translation of these findings to human plasma metabolite signatures induced by cigarette smoking may lead to the discovery of biomarkers or pathogenic pathways of smoking-induced disease.