Publication Highlights
Last week was a very exciting week for Chenomx, as our unique “targeted profiling” approach was used in two high-profile ACS journal publications (see Targeted Profiling: Quantitative Analysis of 1H-NMR Metabolomics Data if the term targeted profiling doesn’t ring a bell).
An Inflammatory Arthritis-Associated Metabolite Biomarker Pattern Revealed by 1H NMR Spectroscopy, published by Aalim Weljie et. al. at the University of Calgary, uses quantitative “targeted profiling” of known metabolites coupled with O-PLS-DA pattern recognition analysis to uncover biomarker candidates for rheumatoid arthritis.
Carolyn Slupsky et. al. at the University of Alberta’s Department of Medicine and Magnetic Resonance Diagnostic Centre published the second paper: Investigations of the Effects of Gender, Diurnal Variation, and Age in Human Urinary Metabolomic Profiles. In this paper Slupsky and her colleagues investigate differences in gender, diurnal variation, and age in a human population using quantitative “targeted profiling” of metabolites. The “targeted profiling” approach is compared to a more traditional spectral binning approach, and Slupsky et. al. show that targeted profiling produces robust models, generates accurate metabolite concentration data, and provides data that can be used to help understand metabolic differences in a healthy population.
Congratulations to both groups, and we hope these papers give some inspiration as to how targeted profiling can be used in metabolomics research.