Metabolome profiling in the study of aging processes

Abstract

Aging of a living organism is closely related to systemic metabolic changes. But due to the multilevel and network nature of metabolic pathways, it is difficult to understand these connections. Today, this problem is solved using one of the main approaches of metabolomics — untargeted metabolome profiling. The purpose of this publication is to systematize the results of metabolomic studies based on such profiling, both in animal models and in humans.

Review of Personalized Medicine and Pharmacogenomics of Anti-Cancer Compounds and Natural Products

“…They have also greatly promoted the research and development of personalized medicine. The rapid development of new omics technologies, rapid accumulation of multidimensional and large-scale omics data, advent of molecular imaging, advent of supercomputers, and continuous improvement of correlation analysis and mining algorithms have all contributed [30][31][32][33][34][35][36][37]. Next, we will focus on the emerging research in personalized medicine and the development of new key technologies for systematic deployment (See Table 1 for more supplementary information).…”

Review of Personalized Medicine and Pharmacogenomics of Anti-Cancer Compounds and Natural Products

“…In recent years, with the continuous innovation and development of life sciences and technologies, the research and development strategies for new drugs has changed from the traditional model based on the phenotype of the disease, the local signaling pathway and a single target, into the new model based on the molecular typing of the disease, the global signaling network in the organism and all targets [27][28][29]. In addition, it has greatly supported the research and development of personalized medicine due to the rapid development of new omics technologies including genome, transcriptome, proteome, metabolome, etc., the rapid accumulation of multidimensional and large-scale omics data, the rise of molecular imaging, the advent of supercomputers, and the continuous improvement of correlation analysis and mining algorithms [30][31][32][33][34][35][36][37]. Next, we will focus on the emerging research in personalized medicine and the development of new key technologies for systematic deployment.…”