Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts.

ABSTRACT: Blood metabolite levels are affected by numerous factors, including preanalytical factors such as collection methods and geographical sites. These perturbations have caused deleterious consequences for many metabolomics studies and represent a major challenge in the metabolomics field. It is important to understand these factors and develop models to reduce their perturbations. However, to date, the lack of suitable mathematical models for blood metabolite levels under homeostasis has hindered progress. In this study, we develop quantitative models of blood metabolite levels in healthy adults based on multisite sample cohorts that mimic the current challenge. Five cohorts of samples obtained across four geographically distinct sites were investigated, focusing on approximately 50 metabolit

SUBMITTER: Liu D 

PROVIDER: S-EPMC10895372 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature