Metabolic Modeling in Health and Disease.
Metabolic Modeling in Health and Disease.
复制标题
健康和疾病的代谢模型。
DOI：
10.1021/acs.jproteome.2c00091
复制
发表时间：
2022
影响因子：
4.4
通讯作者：
Barbas,Coral
中科院分区：
文献类型：
--
作者：
Nicholson,JeremyK;Jia,Wei;Lasky-Su,JessicaA;Barbas,Coral
Research. Given the enormous diversity of metabolic research projects and programs around the world, we chose to exert some editorial direction on the subject focus and requested submissions along the lines of “measuring and modelling metabolism in health and disease”. However, even with this constraint in place, the 25 papers chosen for the Special Issue exhibit a wide variety of diverse biomedical problems, pathophysiological models and target diseases, analytical platforms for metabolic studies, and multivariate data modeling approaches. Metabolic science in the 21st century truly has a long reach.JPR embraces a wide range of investigations into normal and abnormal biological functions and methods for measuring, monitoring, and understanding these functions. Our main aim is to publish novel research that casts new light on cellular, tissue, organ, and organismal biology by understanding the underpinning mechanistic and control processes and the chains of events that connect genes, proteins, metabolites, and the environment to physiological functions. But humans do not exist in biological isolation, as all coelomate organisms are symbiotic and exist together with their complex but individual microbial consortia, their microbiomes. This creates another level of biological complexity that is uniquely captured in symbiotic metabolic pathway studies. Host− microbial symbiotic interactions, where substrate metabolism is directed by more than one genome, are ubiquitous in nature. Microbes are present on all body surfaces and cavities, including the gut, and effectively modulate a range of gene environment interactions that result in phenotypic changes that can be captured using metabolic modeling. The papers published in this Special Issue illustrate many of these elements and interactions with a range of exemplar disease processes and so provide a microcosm of the current state-of-the art metabolic research approaches and techniques.
