System-level metabolic modeling facilitates unveiling metabolic signature in exceptional longevity.

ABSTRACT: Although it is well known that metabolic control plays a crucial role in regulating the health span and life span of various organisms, little is known for the systems metabolic profile of centenarians, the paradigm of human healthy aging and longevity. Meanwhile, how to well characterize the system-level metabolic states in an organism of interest remains to be a major challenge in systems metabolism research. To address this challenge and better understand the metabolic mechanisms of healthy aging, we developed a method of genome-wide precision metabolic modeling (GPMM) which is able to quantitatively integrate transcriptome, proteome and kinetome data in predictive modeling of metabolic networks. Benchmarking analysis showed that GPMM successfully characterized metabolic reprogramming i

SUBMITTER: Li GH 

PROVIDER: S-EPMC9009231 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature