Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.
chronic kidney disease
mineral bone disorder
personalized medicine
quantitative systems biology
quantitative systems pharmacology
Journal
American journal of physiology. Renal physiology
ISSN: 1522-1466
Titre abrégé: Am J Physiol Renal Physiol
Pays: United States
ID NLM: 100901990
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
pubmed:
15
12
2020
medline:
2
3
2021
entrez:
14
12
2020
Statut:
ppublish
Résumé
Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidney diseases, starting early in the course of disease and resulting in devastating clinical consequences ranging from bone fragility to accelerated atherosclerosis and early cardiovascular death. Guidelines for therapeutic goals for CKD-MBD have been published, and achievement of these guidelines is associated with improved survival. However, the incomplete understanding of CKD-MBD and the individual variability in the manifestations of CKD-MBD have made it difficult to achieve these guidelines. We hypothesized that the progression of MBD through all stages of CKD, including end-stage kidney disease, could be represented by a quantitative systems pharmacology/systems biology (QSP) model. To address this hypothesis, we constructed a QSP model of CKD-MBD, building on an open-source model of calcium and phosphorus metabolism. Specifically, we estimated and validated the model using data from 5,496 patients with CKD enrolled in the Chronic Renal Insufficiency Cohort study. Our model accurately predicted changes in markers of mineral metabolism related to progressing CKD. We demonstrated that the incorporation of fibroblast growth factor 23 and the soft tissue compartment is essential for accurate modeling of the changes in calcium, phosphorus, intact parathyroid hormone, and calcitriol in CKD-MBD. We conclude that our systems biology model accurately represents CKD-MBD disease progression and can be used as a test bench for improving therapeutic interventions.
Identifiants
pubmed: 33308018
doi: 10.1152/ajprenal.00159.2020
doi:
Substances chimiques
Parathyroid Hormone
0
Phosphates
0
Fibroblast Growth Factors
62031-54-3
Fibroblast Growth Factor-23
7Q7P4S7RRE
Calcium
SY7Q814VUP
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
F203-F211Subventions
Organisme : CSRD VA
ID : I01 CX001614
Pays : United States
Organisme : U.S. Department of Veterans Affairs (VA)
ID : Merit Review