Early dynamic changes in iPSC oxygen consumption rate predict future cardiomyocyte differentiation

Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting...

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Published inBiotechnology and bioengineering Vol. 120; no. 8; pp. 2357 - 2362
Main Authors Nikitina, Arina A., Roysam, Tanya, Kemp, Melissa L.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.08.2023
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ISSN0006-3592
1097-0290
1097-0290
DOI10.1002/bit.28489

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Abstract Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting challenges in current cell manufacturing contexts. Real‐time, label‐free control quality attributes (CQAs) are required to ensure efficient iPSC‐derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC‐derived CM one step closer to clinical use. Timeseries mining of noninvasive oxygen consumption rates yielded highly predictive critical quality attributes of cardiomyocyte outcomes within the first 72 h of a standard iPSC differentiation protocol.
AbstractList Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use.Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use.
Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch-to-batch variability, presenting challenges in current cell manufacturing contexts. Real-time, label-free control quality attributes (CQAs) are required to ensure efficient iPSC-derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC-derived CM one step closer to clinical use.
Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted cardiomyocytes (CMs). CM differentiation via iPSCs is a lengthy multiweek process and is highly subject to batch‐to‐batch variability, presenting challenges in current cell manufacturing contexts. Real‐time, label‐free control quality attributes (CQAs) are required to ensure efficient iPSC‐derived CM manufacturing. In this work, we report that live oxygen consumption rate measurements are highly predictive CQAs of CM differentiation outcome as early as the first 72 h of the differentiation protocol with an accuracy of 93%. Oxygen probes are already incorporated in commercial bioreactors, thus methods presented in this work are easily translatable to the manufacturing setting. Detecting deviations in the CM differentiation trajectory early in the protocol will save time and money for both manufacturers and patients, bringing iPSC‐derived CM one step closer to clinical use. Timeseries mining of noninvasive oxygen consumption rates yielded highly predictive critical quality attributes of cardiomyocyte outcomes within the first 72 h of a standard iPSC differentiation protocol.
Author Kemp, Melissa L.
Nikitina, Arina A.
Roysam, Tanya
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Keywords cell manufacturing
induced pluripotent stem cells
critical quality attributes
machine learning
oxygen consumption rate
time-series analysis
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Snippet Human induced pluripotent stem cells (iPSCs) hold great promise for reducing the mortality of cardiovascular disease by cellular replacement of infarcted...
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SubjectTerms Bioreactors
Cardiomyocytes
Cardiovascular diseases
Cell differentiation
cell manufacturing
critical quality attributes
induced pluripotent stem cells
machine learning
Manufacturing
Oxygen
Oxygen consumption
oxygen consumption rate
Oxygen probes
Pluripotency
Quality management
Stem cells
time‐series analysis
Title Early dynamic changes in iPSC oxygen consumption rate predict future cardiomyocyte differentiation
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fbit.28489
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