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Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model

Haematological toxicity associated with cancer therapeutics is monitored by changes in blood cell count, and their primary effect is on proliferative progenitors in the bone marrow. Using observations in rat bone marrow and blood, we characterize a mathematical model that comprises cell proliferatio...

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Autores principales: Fornari, Chiara, Oplustil O'Connor, Lenka, Pin, Carmen, Smith, Aaron, Yates, James W.T., Cheung, S.Y. Amy, Jodrell, Duncan I., Mettetal, Jerome T., Collins, Teresa A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875710/
https://www.ncbi.nlm.nih.gov/pubmed/31508894
http://dx.doi.org/10.1002/psp4.12459
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author Fornari, Chiara
Oplustil O'Connor, Lenka
Pin, Carmen
Smith, Aaron
Yates, James W.T.
Cheung, S.Y. Amy
Jodrell, Duncan I.
Mettetal, Jerome T.
Collins, Teresa A.
author_facet Fornari, Chiara
Oplustil O'Connor, Lenka
Pin, Carmen
Smith, Aaron
Yates, James W.T.
Cheung, S.Y. Amy
Jodrell, Duncan I.
Mettetal, Jerome T.
Collins, Teresa A.
author_sort Fornari, Chiara
collection PubMed
description Haematological toxicity associated with cancer therapeutics is monitored by changes in blood cell count, and their primary effect is on proliferative progenitors in the bone marrow. Using observations in rat bone marrow and blood, we characterize a mathematical model that comprises cell proliferation and differentiation of the full haematopoietic phylogeny, with interacting feedback loops between lineages in homeostasis as well as following carboplatin exposure. We accurately predicted the temporal dynamics of several mature cell types related to carboplatin‐induced bone marrow toxicity and identified novel insights into haematopoiesis. Our model confirms a significant degree of plasticity within bone marrow cells, with the number and type of both early progenitors and circulating cells affecting cell balance, via feedback mechanisms, through fate decisions of the multipotent progenitors. We also demonstrated cross‐species translation of our predictions to patients, applying the same core model structure and considering differences in drug‐dependent and physiology‐dependent parameters.
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spelling pubmed-68757102019-11-29 Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model Fornari, Chiara Oplustil O'Connor, Lenka Pin, Carmen Smith, Aaron Yates, James W.T. Cheung, S.Y. Amy Jodrell, Duncan I. Mettetal, Jerome T. Collins, Teresa A. CPT Pharmacometrics Syst Pharmacol Research Haematological toxicity associated with cancer therapeutics is monitored by changes in blood cell count, and their primary effect is on proliferative progenitors in the bone marrow. Using observations in rat bone marrow and blood, we characterize a mathematical model that comprises cell proliferation and differentiation of the full haematopoietic phylogeny, with interacting feedback loops between lineages in homeostasis as well as following carboplatin exposure. We accurately predicted the temporal dynamics of several mature cell types related to carboplatin‐induced bone marrow toxicity and identified novel insights into haematopoiesis. Our model confirms a significant degree of plasticity within bone marrow cells, with the number and type of both early progenitors and circulating cells affecting cell balance, via feedback mechanisms, through fate decisions of the multipotent progenitors. We also demonstrated cross‐species translation of our predictions to patients, applying the same core model structure and considering differences in drug‐dependent and physiology‐dependent parameters. John Wiley and Sons Inc. 2019-10-20 2019-11 /pmc/articles/PMC6875710/ /pubmed/31508894 http://dx.doi.org/10.1002/psp4.12459 Text en © 2019 Astrazeneca CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Fornari, Chiara
Oplustil O'Connor, Lenka
Pin, Carmen
Smith, Aaron
Yates, James W.T.
Cheung, S.Y. Amy
Jodrell, Duncan I.
Mettetal, Jerome T.
Collins, Teresa A.
Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title_full Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title_fullStr Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title_full_unstemmed Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title_short Quantifying Drug‐Induced Bone Marrow Toxicity Using a Novel Haematopoiesis Systems Pharmacology Model
title_sort quantifying drug‐induced bone marrow toxicity using a novel haematopoiesis systems pharmacology model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875710/
https://www.ncbi.nlm.nih.gov/pubmed/31508894
http://dx.doi.org/10.1002/psp4.12459
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