Shucha Zhang

TL;DR: The current trends and recent advances in NMR- and MS-based metabolomics are described with a focus on the development of advanced NMR and MS methods, improved multivariate statistical data analysis and recent applications in the area of cancer, diabetes, inborn errors of metabolism and cardiovascular diseases.

TL;DR: The promise of combining multiple analytical methods with advanced statistical methods in quantitative metabolomics research is demonstrated, which is applied to the clinical situation of acute insulin deprivation in T1D to reflect the numerous metabolic pathways known to be affected by insulin deficiency.

TL;DR: The impact of using simple linear equations to predict the collision energy (CE) on peptide signal intensity was investigated and compared with the empirical optimization of the CE for each peptide and transition individually and it was found that existing commonly used linear equations fall short of their potential.

TL;DR: The Clinical Proteomic Tumor Analysis Consortium of the National Cancer Institute has collaborated with clinical laboratorians, peptide manufacturers, metrologists, representatives of the pharmaceutical industry, and other professionals to develop a consensus set of recommendations for peptide procurement, characterization, storage, and handling.

TL;DR: Detailed analysis of the altered metabolite levels and their correlations indicate a significant disturbance in the glucose metabolism and tricarboxylic acid (TCA) cycle and a contribution from gut microbial metabolism.