Edison Dong

TL;DR: This work has combined targeted and non-targeted NMR, GC-MS and LC-MS methods with computer-aided literature mining to identify and quantify a comprehensive, if not absolutely complete, set of metabolites commonly detected and quantified (with today's technology) in the human serum metabolome.

TL;DR: A comprehensive, quantitative, metabolome-wide characterization of human urine and the identification and annotation of several previously unknown urine metabolites and to substantially enhance the level of metabolome coverage are undertaken.

TL;DR: A comprehensive characterization of the human saliva metabolome is presented and multiple analytical platforms including nuclear magnetic resonance spectroscopy, gas chromatography mass spectrometry, direct flow injection/liquid chromatography Mass spectrometer, inductively coupled plasma mass spectromaetry, and high performance liquid chromatography were employed to quantify the metabolites that can be commonly detected in human saliva.

TL;DR: Improved metabolomic and other analytical techniques have led to a 54% increase in the known size of the human CSF metabolome over the past 5 years and commonly available metabolomic methods, when combined, can now routinely identify and quantify 36% of the 'detectable' human CSf metabolome.

TL;DR: A profound change in the first-trimester metabolite profile was noted in women who had subsequently developed early-onset PE, and preliminary algorithms appeared highly sensitive for first trimester prediction of early onset PE.