Intercorrelated variability in blood and hemodynamic biomarkers reveals physiological network in hemodialysis patients.

ABSTRACT: Increased intra-individual variability of a variety of biomarkers is generally associated with poor health and reflects physiological dysregulation. Correlations among these biomarker variabilities should then represent interactions among heterogeneous biomarker regulatory systems. Herein, in an attempt to elucidate the network structure of physiological systems, we probed the inter-variability correlations of 22 biomarkers. Time series data on 19 blood-based and 3 hemodynamic biomarkers were collected over a one-year period for 334 hemodialysis patients, and their variabilities were evaluated by coefficients of variation. The network diagram exhibited six clusters in the physiological systems, corresponding to the regulatory domains for metabolism, inflammation, circulation, liver, salt,

SUBMITTER: Nakazato Y 

PROVIDER: S-EPMC9886931 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature