Fozia Saleem

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: For cows fed 30 and 45% grain, increases were observed in the concentration of rumen methylamine as well as glucose, alanine, maltose, propionate, uracil, valerate, xanthine, ethanol, and phenylacetate, which may have a number of implications regarding the influence of grain on the overall health of dairy cows.

TL;DR: A comprehensive, quantitative metabolomic analysis of rumen fluid samples from dairy cows fed 4 different diets confirms and greatly extends earlier observations on dietary effects onRumen fluid composition and shows that the use of multiple metabolomic platforms permits a far more detailed understanding of metabolic causes and effects.

TL;DR: This work has undertaken an effort to comprehensively characterize the bovine ruminal fluid metabolome by using NMR spectroscopy, inductively coupled plasma mass-spectroscopy (ICP-MS), gas chromatography-mass spectrometry (GC-MS, direct flow injection (DFI), and lipidomics with computer-aided literature mining to identify and quantify essentially all of the metabolites in bovinesRuminal fluid that can be routinely detected.

TL;DR: A 3-metabolite plasma biomarker profile was developed that could predict which cows would develop periparturient diseases, up to 4 wk before clinical symptoms appearing, with a sensitivity and specificity of 87% and a specificity of 85%.