Exploration of variations in proteome and metabolome for predictive diagnostics and personalized treatment algorithms: Innovative approach and examples for potential clinical application

5 years ago

Exploration of variations in proteome and metabolome for predictive diagnostics and personalized treatment algorithms: Innovative approach and examples for potential clinical application

Genome mutually interacts with internal and external environmental factors to result in different phenome that contains two important elements of proteins and metabolites, which link genome to predictive, preventive and personalized medicine (PPPM) or precision medicine (PM). Proteomic variations are the final presentation of the genomic and transcriptomic variations, and are involved in a wide range of variations including copy number of protein, splicing, post-translational modifications, translocation/re-distribution, spatial conformation, and pathway-network systems. Metabolomic variations are the comprehensive results originated from all types of in vivo substances, and are involved in a wide range of alterations of metabolites generated from sugars, lipids, proteins, and nucleic acids, and metabolic network systems. Currently the studies on variations in proteome and in metabolome are much insufficient in the width and depth in the fields of proteomics and metabolomics. The development of high-throughput, high-sensitivity, and especially high-reproducibility approaches is necessary to maximize the coverage of variations in proteome and in metabolome. The studies of proteomic and metabolomic variations directly result in the discovery of effective biomarkers to clarify molecular mechanisms of a disease, determine reliable therapeutic targets, and benefit precise prediction, diagnosis, and prognosis assessment. It has more important scientific values in PPPM or PM.

Biological significance

1. Complexity and importance of proteomic variations for PPPM, and the strategies and methodology to measure proteomic variations.

2. Complexity and importance of metabolomic variations for PPPM, and the strategies and methodology to measure metabolomic variations.

3. Proteome and metabolome are the important components that contribute to phenome. Clarification of variations in phenome is the key step to realize PPPM practice.

Publisher URL: www.sciencedirect.com/science

DOI: S187439191730307X