Monoclonal antibody therapy efficacy can be boosted by combinations with other treatments: Predictions using an integrated Alzheimer's Disease Platform. (2nd May 2021)
- Record Type:
- Journal Article
- Title:
- Monoclonal antibody therapy efficacy can be boosted by combinations with other treatments: Predictions using an integrated Alzheimer's Disease Platform. (2nd May 2021)
- Main Title:
- Monoclonal antibody therapy efficacy can be boosted by combinations with other treatments: Predictions using an integrated Alzheimer's Disease Platform
- Authors:
- Karelina, Tatiana
Lerner, Stepan
Stepanov, Alexandr
Meerson, Mark
Demin, Oleg - Abstract:
- Abstract: For many years, clinical research in Alzheimer's disease (AD) has focused on attempts to identify the most explicit biomarker, namely amyloid beta. Unfortunately, the numerous therapies that have been developed have failed in clinical practice. AD arises as a consequence of multiple factors, and as such it requires a more mechanistic analytical approach than statistical modeling. Quantitative systems pharmacology modeling is a valuable tool for drug development. It utilizes in vitro data for the calibration of parameters, embeds them into physiologically based structures, and explores translation between animals and humans. Such an approach allows for a quantitative study of the dynamics of the interactions between multiple factors or variables. Here, we present an overview of the quantitative translational model in AD, which embraces current preclinical and clinical data. The previously published description of amyloid physiology has been updated and joined with a model for tau pathology and multiple intraneuronal processes responsible for cellular transport, metabolism, or proteostasis. In addition, several hypotheses regarding the best correlates of cognitive deterioration have been validated using clinical data. Here, the amyloid hypothesis was unable to predict the aducanumab clinical trial data, whereas simulations of cognitive impairment coupled with tau seeding or neuronal breakdown (expressed as caspase activity) matched the data. A satisfactory validationAbstract: For many years, clinical research in Alzheimer's disease (AD) has focused on attempts to identify the most explicit biomarker, namely amyloid beta. Unfortunately, the numerous therapies that have been developed have failed in clinical practice. AD arises as a consequence of multiple factors, and as such it requires a more mechanistic analytical approach than statistical modeling. Quantitative systems pharmacology modeling is a valuable tool for drug development. It utilizes in vitro data for the calibration of parameters, embeds them into physiologically based structures, and explores translation between animals and humans. Such an approach allows for a quantitative study of the dynamics of the interactions between multiple factors or variables. Here, we present an overview of the quantitative translational model in AD, which embraces current preclinical and clinical data. The previously published description of amyloid physiology has been updated and joined with a model for tau pathology and multiple intraneuronal processes responsible for cellular transport, metabolism, or proteostasis. In addition, several hypotheses regarding the best correlates of cognitive deterioration have been validated using clinical data. Here, the amyloid hypothesis was unable to predict the aducanumab clinical trial data, whereas simulations of cognitive impairment coupled with tau seeding or neuronal breakdown (expressed as caspase activity) matched the data. A satisfactory validation of the data from multiple preclinical and clinical studies was followed by an attempt to predict the results of combinatorial treatment with targeted immunotherapy and activation of autophagy using rapamycin. The combination is predicted to yield better efficacy than immunotherapy alone. … (more)
- Is Part Of:
- CPT: pharmacometrics & systems pharmacology. Volume 10:Number 6(2021)
- Journal:
- CPT: pharmacometrics & systems pharmacology
- Issue:
- Volume 10:Number 6(2021)
- Issue Display:
- Volume 10, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 10
- Issue:
- 6
- Issue Sort Value:
- 2021-0010-0006-0000
- Page Start:
- 543
- Page End:
- 550
- Publication Date:
- 2021-05-02
- Subjects:
- Pharmacokinetics -- Periodicals
Pharmacology -- Periodicals
Pharmacokinetics
Periodicals
615.05 - Journal URLs:
- http://bibpurl.oclc.org/web/52754 ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2163-8306 ↗
http://www.nature.com/psp/index.html ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/2038/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/psp4.12628 ↗
- Languages:
- English
- ISSNs:
- 2163-8306
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 17336.xml