Lledó-García, Rocío; Kalicki, Robert M; Uehlinger, Dominik E; Karlsson, Mats O (2012). Modeling of red blood cell life-spans in hematologically normal populations. Journal of pharmacokinetics and pharmacodynamics, 39(5), pp. 453-62. New York, NY: Springer 10.1007/s10928-012-9261-5
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Despite the impact of red blood cell (RBC) Life-spans in some disease areas such as diabetes or anemia of chronic kidney disease, there is no consensus on how to quantitatively best describe the process. Several models have been proposed to explain the elimination process of RBCs: random destruction process, homogeneous life-span model, or a series of 4-transit compartment model. The aim of this work was to explore the different models that have been proposed in literature, and modifications to those. The impact of choosing the right model on future outcomes prediction--in the above mentioned areas--was also investigated. Both data from indirect (clinical data) and direct life-span measurement (biotin-labeled data) methods were analyzed using non-linear mixed effects models. Analysis showed that: (1) predictions from non-steady state data will depend on the RBC model chosen; (2) the transit compartment model, which considers variation in life-span in the RBC population, better describes RBC survival data than the random destruction or homogenous life-span models; and (3) the additional incorporation of random destruction patterns, although improving the description of the RBC survival data, does not appear to provide a marked improvement when describing clinical data.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Nephrology and Hypertension |
UniBE Contributor: |
Kalicki, Robert, Uehlinger, Dominik |
ISSN: |
1573-8744 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:39 |
Last Modified: |
05 Dec 2022 14:12 |
Publisher DOI: |
10.1007/s10928-012-9261-5 |
PubMed ID: |
22847734 |
Web of Science ID: |
000308962200003 |
BORIS DOI: |
10.48350/15642 |
URI: |
https://boris.unibe.ch/id/eprint/15642 (FactScience: 223052) |
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