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Hey JA, Yu JY, Abushakra S, Schaefer JF, Power A, Kesslak P, Tolar M. Analysis of Cerebrospinal Fluid, Plasma β-Amyloid Biomarkers, and Cognition from a 2-Year Phase 2 Trial Evaluating Oral ALZ-801/Valiltramiprosate in APOE4 Carriers with Early Alzheimer's Disease Using Quantitative Systems Pharmacology Model. Drugs 2024; 84:825-839. [PMID: 38902572 PMCID: PMC11289344 DOI: 10.1007/s40265-024-02068-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION ALZ-801/valiltramiprosate is an oral, small-molecule inhibitor of beta-amyloid (Aβ) aggregation and oligomer formation in late-stage development as a disease-modifying therapy for early Alzheimer's disease (AD). The present investigation provides a quantitative systems pharmacology (QSP) analysis of amyloid fluid biomarkers and cognitive results from a 2-year ALZ-801 Phase 2 trial in APOE4 carriers with early AD. METHODS The single-arm, open-label phase 2 study evaluated effects of ALZ-801 265 mg two times daily (BID) on cerebrospinal fluid (CSF) and plasma amyloid fluid biomarkers over 104 weeks in APOE4 carriers with early AD [Mini-Mental State Examination (MMSE) ≥ 22]. Subjects with positive CSF biomarkers for amyloid (Aβ42/Aβ40) and tau pathology (p-tau181) were enrolled, with serial CSF and plasma levels of Aβ42 and Aβ40 measured over 104 weeks. Longitudinal changes of CSF Aβ42, plasma Aβ42/Aβ40 ratio, and cognitive Rey Auditory Verbal Learning Test (RAVLT) were compared with the established natural disease trajectories in AD using a QSP approach. The natural disease trajectory data for amyloid biomarkers and RAVLT were extracted from a QSP model and an Alzheimer's disease neuroimaging initiative population model, respectively. Analyses were stratified by disease severity and sex. RESULTS A total of 84 subjects were enrolled. Excluding one subject who withdrew at the early stage of the trial, data from 83 subjects were used for this analysis. The ALZ-801 treatment arrested the progressive decline in CSF Aβ42 level and plasma Aβ42/Aβ40 ratio, and stabilized RAVLT over 104 weeks. Both sexes showed comparable responses to ALZ-801, whereas mild cognitive impairment (MCI) subjects (MMSE ≥ 27) exhibited a larger biomarker response compared with more advanced mild AD subjects (MMSE 22-26). CONCLUSIONS In this genetically defined and biomarker-enriched early AD population, the QSP analysis demonstrated a positive therapeutic effect of oral ALZ-801 265 mg BID by arresting the natural decline of monomeric CSF and plasma amyloid biomarkers, consistent with the target engagement to prevent their aggregation into soluble neurotoxic oligomers and subsequently into insoluble fibrils and plaques over 104 weeks. Accompanying the amyloid biomarker changes, ALZ-801 also stabilized the natural trajectory decline of the RAVLT memory test, suggesting that the clinical benefits are consistent with its mechanism of action. This sequential effect arresting the disease progression on biomarkers and cognitive decline was more pronounced in the earlier symptomatic stages of AD. The QSP analysis provides fluid biomarker and clinical evidence for ALZ-801 as a first-in-class, oral small-molecule anti-Aβ oligomer agent with disease modification potential in AD. TRIAL REGISTRY https://clinicaltrials.gov/study/NCT04693520.
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Affiliation(s)
- John A Hey
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA.
| | - Jeremy Y Yu
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
- Division of Endocrinology, Diabetes and Metabolic Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Susan Abushakra
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
| | - Jean F Schaefer
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
| | - Aidan Power
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
| | - Patrick Kesslak
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
| | - Martin Tolar
- Alzheon, Inc., 111 Speen Street, Suite 306, Framingham, MA, 01701, USA
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Bruno A, Milillo C, Anaclerio F, Buccolini C, Dell’Elice A, Angilletta I, Gatta M, Ballerini P, Antonucci I. Perinatal Tissue-Derived Stem Cells: An Emerging Therapeutic Strategy for Challenging Neurodegenerative Diseases. Int J Mol Sci 2024; 25:976. [PMID: 38256050 PMCID: PMC10815412 DOI: 10.3390/ijms25020976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
Over the past 20 years, stem cell therapy has been considered a promising option for treating numerous disorders, in particular, neurodegenerative disorders. Stem cells exert neuroprotective and neurodegenerative benefits through different mechanisms, such as the secretion of neurotrophic factors, cell replacement, the activation of endogenous stem cells, and decreased neuroinflammation. Several sources of stem cells have been proposed for transplantation and the restoration of damaged tissue. Over recent decades, intensive research has focused on gestational stem cells considered a novel resource for cell transplantation therapy. The present review provides an update on the recent preclinical/clinical applications of gestational stem cells for the treatment of protein-misfolding diseases including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD) and amyotrophic lateral sclerosis (ALS). However, further studies should be encouraged to translate this promising therapeutic approach into the clinical setting.
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Affiliation(s)
- Annalisa Bruno
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Innovative Technologies in Medicine & Dentistry, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Cristina Milillo
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Federico Anaclerio
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Carlotta Buccolini
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Anastasia Dell’Elice
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Ilaria Angilletta
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Marco Gatta
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Innovative Technologies in Medicine & Dentistry, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Patrizia Ballerini
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Innovative Technologies in Medicine & Dentistry, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
| | - Ivana Antonucci
- Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy; (A.B.); (C.M.); (C.B.); (A.D.); (I.A.)
- Department of Psychological, Health and Territorial Sciences, “G. d’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
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Marković M, Milošević J, Wang W, Cao Y. Passive Immunotherapies Targeting Amyloid- β in Alzheimer's Disease: A Quantitative Systems Pharmacology Perspective. Mol Pharmacol 2023; 105:1-13. [PMID: 37907353 DOI: 10.1124/molpharm.123.000726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/04/2023] [Accepted: 10/10/2023] [Indexed: 11/02/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by amyloid-β (Aβ) protein accumulation in the brain. Passive immunotherapies using monoclonal antibodies for targeting Aβ have shown promise for AD treatment. Indeed, recent US Food and Drug Administration approval of aducanumab and lecanemab, alongside positive donanemab Phase III results demonstrated clinical efficacy after decades of failed clinical trials for AD. However, the pharmacological basis distinguishing clinically effective from ineffective therapies remains unclear, impeding development of potent therapeutics. This study aimed to provide a quantitative perspective for effectively targeting Aβ with antibodies. We first reviewed the contradicting results associated with the amyloid hypothesis and the pharmacological basis of Aβ immunotherapy. Subsequently, we developed a quantitative systems pharmacology (QSP) model that describes the non-linear progression of Aβ pathology and the pharmacologic actions of the Aβ-targeting antibodies. Using the QSP model, we analyzed various scenarios for effective passive immunotherapy for AD. The model revealed that binding exclusively to the Aβ monomer has minimal effect on Aβ aggregation and plaque reduction, making the antibody affinity toward Aβ monomer unwanted, as it could become a distractive mechanism for plaque reduction. Neither early intervention, high brain penetration, nor increased dose could yield significant improvement of clinical efficacy for antibodies targeting solely monomers. Antibodies that bind all Aβ species but lack effector function exhibited moderate effects in plaque reduction. Our model highlights the importance of binding aggregate Aβ species and incorporating effector functions for efficient and early plaque reduction, guiding the development of more effective therapies for this devastating disease. SIGNIFICANCE STATEMENT: Despite previous unsuccessful attempts spanning several decades, passive immunotherapies utilizing monoclonal antibodies for targeting amyloid-beta (Aβ) have demonstrated promise with two recent FDA approvals. However, the pharmacological basis that differentiates clinically effective therapies from ineffective ones remains elusive. Our study offers a quantitative systems pharmacology perspective, emphasizing the significance of selectively targeting specific Aβ species and importance of antibody effector functions. This perspective sheds light on the development of more effective therapies for this devastating disease.
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Affiliation(s)
- Milica Marković
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy (M.M., Y.C.) and Lineberger Comprehensive Cancer Center, School of Medicine (Y.C.), University of North Carolina at Chapel Hill, North Carolina; Department of Biochemistry (J.M.), University of Belgrade, Faculty of Chemistry, Belgrade, Serbia; and Clinical Pharmacology and Pharmacometrics, Janssen Research & Development (W.W.), LLC, Spring House, Pennsylvania
| | - Jelica Milošević
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy (M.M., Y.C.) and Lineberger Comprehensive Cancer Center, School of Medicine (Y.C.), University of North Carolina at Chapel Hill, North Carolina; Department of Biochemistry (J.M.), University of Belgrade, Faculty of Chemistry, Belgrade, Serbia; and Clinical Pharmacology and Pharmacometrics, Janssen Research & Development (W.W.), LLC, Spring House, Pennsylvania
| | - Weirong Wang
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy (M.M., Y.C.) and Lineberger Comprehensive Cancer Center, School of Medicine (Y.C.), University of North Carolina at Chapel Hill, North Carolina; Department of Biochemistry (J.M.), University of Belgrade, Faculty of Chemistry, Belgrade, Serbia; and Clinical Pharmacology and Pharmacometrics, Janssen Research & Development (W.W.), LLC, Spring House, Pennsylvania
| | - Yanguang Cao
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy (M.M., Y.C.) and Lineberger Comprehensive Cancer Center, School of Medicine (Y.C.), University of North Carolina at Chapel Hill, North Carolina; Department of Biochemistry (J.M.), University of Belgrade, Faculty of Chemistry, Belgrade, Serbia; and Clinical Pharmacology and Pharmacometrics, Janssen Research & Development (W.W.), LLC, Spring House, Pennsylvania
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Geerts H, Bergeler S, Walker M, van der Graaf PH, Courade JP. Analysis of clinical failure of anti-tau and anti-synuclein antibodies in neurodegeneration using a quantitative systems pharmacology model. Sci Rep 2023; 13:14342. [PMID: 37658103 PMCID: PMC10474108 DOI: 10.1038/s41598-023-41382-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 08/25/2023] [Indexed: 09/03/2023] Open
Abstract
Misfolded proteins in Alzheimer's disease and Parkinson's disease follow a well-defined connectomics-based spatial progression. Several anti-tau and anti-alpha synuclein (aSyn) antibodies have failed to provide clinical benefit in clinical trials despite substantial target engagement in the experimentally accessible cerebrospinal fluid (CSF). The proposed mechanism of action is reducing neuronal uptake of oligomeric protein from the synaptic cleft. We built a quantitative systems pharmacology (QSP) model to quantitatively simulate intrasynaptic secretion, diffusion and antibody capture in the synaptic cleft, postsynaptic membrane binding and internalization of monomeric and oligomeric tau and aSyn proteins. Integration with a physiologically based pharmacokinetic (PBPK) model allowed us to simulate clinical trials of anti-tau antibodies gosuranemab, tilavonemab, semorinemab, and anti-aSyn antibodies cinpanemab and prasineuzumab. Maximal target engagement for monomeric tau was simulated as 45% (semorinemab) to 99% (gosuranemab) in CSF, 30% to 99% in ISF but only 1% to 3% in the synaptic cleft, leading to a reduction of less than 1% in uptake of oligomeric tau. Simulations for prasineuzumab and cinpanemab suggest target engagement of free monomeric aSyn of only 6-8% in CSF, 4-6% and 1-2% in the ISF and synaptic cleft, while maximal target engagement of aggregated aSyn was predicted to reach 99% and 80% in the synaptic cleft with similar effects on neuronal uptake. The study generates optimal values of selectivity, sensitivity and PK profiles for antibodies. The study identifies a gradient of decreasing target engagement from CSF to the synaptic cleft as a key driver of efficacy, quantitatively identifies various improvements for drug design and emphasizes the need for QSP modelling to support the development of tau and aSyn antibodies.
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Affiliation(s)
- Hugo Geerts
- Certara US, 100 Overlook Centre, Suite 101, Princeton, NJ, 08540, USA.
| | - Silke Bergeler
- Certara US, 100 Overlook Centre, Suite 101, Princeton, NJ, 08540, USA
- Bristol-Meyers-Squibb, Lawrenceville, NJ, 08648, USA
| | - Mike Walker
- Certara UK, Canterbury Innovation Centre, University Road, Canterbury, CT2 7FG, Kent, UK
| | - Piet H van der Graaf
- Certara UK, Canterbury Innovation Centre, University Road, Canterbury, CT2 7FG, Kent, UK
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Geerts H, Walker M, Rose R, Bergeler S, van der Graaf PH, Schuck E, Koyama A, Yasuda S, Hussein Z, Reyderman L, Swanson C, Cabal A. A combined physiologically-based pharmacokinetic and quantitative systems pharmacology model for modeling amyloid aggregation in Alzheimer's disease. CPT Pharmacometrics Syst Pharmacol 2023; 12:444-461. [PMID: 36632701 PMCID: PMC10088087 DOI: 10.1002/psp4.12912] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/06/2022] [Accepted: 12/14/2022] [Indexed: 01/13/2023] Open
Abstract
Antibody-mediated removal of aggregated β-amyloid (Aβ) is the current, most clinically advanced potential disease-modifying treatment approach for Alzheimer's disease. We describe a quantitative systems pharmacology (QSP) approach of the dynamics of Aβ monomers, oligomers, protofibrils, and plaque using a detailed microscopic model of Aβ40 and Aβ42 aggregation and clearance of aggregated Aβ by activated microglia cells, which is enhanced by the interaction of antibody-bound Aβ. The model allows for the prediction of Aβ positron emission tomography (PET) imaging load as measured by a standardized uptake value ratio. A physiology-based pharmacokinetic model is seamlessly integrated to describe target exposure of monoclonal antibodies and simulate dynamics of cerebrospinal fluid (CSF) and plasma biomarkers, including CSF Aβ42 and plasma Aβ42 /Aβ40 ratio biomarkers. Apolipoprotein E genotype is implemented as a difference in microglia clearance. By incorporating antibody-bound, plaque-mediated macrophage activation in the perivascular compartment, the model also predicts the incidence of amyloid-related imaging abnormalities with edema (ARIA-E). The QSP platform is calibrated with pharmacological and clinical information on aducanumab, bapineuzumab, crenezumab, gantenerumab, lecanemab, and solanezumab, predicting adequately the change in PET imaging measured amyloid load and the changes in the plasma Aβ42 /Aβ40 ratio while slightly overestimating the change in CSF Aβ42 . ARIA-E is well predicted for all antibodies except bapineuzumab. This QSP model could support the clinical trial design of different amyloid-modulating interventions, define optimal titration and maintenance schedules, and provide a first step to understand the variability of biomarker response in clinical practice.
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Høilund-Carlsen PF, Revheim ME, Alavi A, Satyamurthy N, Barrio JR. Amyloid PET: A Questionable Single Primary Surrogate Efficacy Measure on Alzheimer Immunotherapy Trials. J Alzheimers Dis 2022; 90:1395-1399. [PMID: 36278356 PMCID: PMC9789473 DOI: 10.3233/jad-220841] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Using amyloid PET imaging as a single primary surrogate efficacy measure in Alzheimer's disease immunotherapy trials, as happened when the FDA granted accelerated approval of aducanumab, is unjustified. In vivo evidence indicates that PET quantification of amyloid deposition is distorted and misrepresents effects of anti-amyloid treatments due to lack of specificity of the PET imaging probe, effects of amyloid-related imaging abnormalities, spill-over from high white matter signals, and questionable quantification models. Before granting approval to other immunotherapy candidates, the FDA should require rigorous evidence of all imaging claims and irrefutable documentation that proposed treatments are clinically effective and harmless to patients.
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Affiliation(s)
- Poul F. Høilund-Carlsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark,
Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mona-Elisabeth Revheim
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway,
Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Correspondence to: Mona-Elisabeth Revheim, Institute of Clinical Medicine, University of Oslo, Postbox 1078, Blindern, 0316 Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Postbox 4950 Nydalen, 0424 Oslo, Norway. Tel.: +47 23 07 08 40; Fax: +47 23 07 38 37; E-mails: ; ; ORCID: 0000-0003-3300-7420
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Nagichettiar Satyamurthy
- Department of Molecular and Medical Pharmacology, David Geffen UCLA School of Medicine, Los Angeles, CA, USA
| | - Jorge R. Barrio
- Department of Molecular and Medical Pharmacology, David Geffen UCLA School of Medicine, Los Angeles, CA, USA
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Bloomingdale P, Karelina T, Ramakrishnan V, Bakshi S, Véronneau‐Veilleux F, Moye M, Sekiguchi K, Meno‐Tetang G, Mohan A, Maithreye R, Thomas VA, Gibbons F, Cabal A, Bouteiller J, Geerts H. Hallmarks of neurodegenerative disease: A systems pharmacology perspective. CPT Pharmacometrics Syst Pharmacol 2022; 11:1399-1429. [PMID: 35894182 PMCID: PMC9662204 DOI: 10.1002/psp4.12852] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/17/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
Age-related central neurodegenerative diseases, such as Alzheimer's and Parkinson's disease, are a rising public health concern and have been plagued by repeated drug development failures. The complex nature and poor mechanistic understanding of the etiology of neurodegenerative diseases has hindered the discovery and development of effective disease-modifying therapeutics. Quantitative systems pharmacology models of neurodegeneration diseases may be useful tools to enhance the understanding of pharmacological intervention strategies and to reduce drug attrition rates. Due to the similarities in pathophysiological mechanisms across neurodegenerative diseases, especially at the cellular and molecular levels, we envision the possibility of structural components that are conserved across models of neurodegenerative diseases. Conserved structural submodels can be viewed as building blocks that are pieced together alongside unique disease components to construct quantitative systems pharmacology (QSP) models of neurodegenerative diseases. Model parameterization would likely be different between the different types of neurodegenerative diseases as well as individual patients. Formulating our mechanistic understanding of neurodegenerative pathophysiology as a mathematical model could aid in the identification and prioritization of drug targets and combinatorial treatment strategies, evaluate the role of patient characteristics on disease progression and therapeutic response, and serve as a central repository of knowledge. Here, we provide a background on neurodegenerative diseases, highlight hallmarks of neurodegeneration, and summarize previous QSP models of neurodegenerative diseases.
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Affiliation(s)
- Peter Bloomingdale
- Quantitative Pharmacology and PharmacometricsMerck & Co., Inc.BostonMassachusettsUSA
| | | | | | - Suruchi Bakshi
- Certara QSPOssThe Netherlands,Certara QSPPrincetonNew JerseyUSA
| | | | - Matthew Moye
- Quantitative Pharmacology and PharmacometricsMerck & Co., Inc.BostonMassachusettsUSA
| | - Kazutaka Sekiguchi
- Shionogi & Co., Ltd.OsakaJapan,SUNY Downstate Medical CenterNew YorkNew YorkUSA
| | | | | | | | | | - Frank Gibbons
- Clinical Pharmacology and PharmacometricsBiogenCambridgeMassachusettsUSA
| | | | - Jean‐Marie Bouteiller
- Center for Neural EngineeringDepartment of Biomedical Engineering at the Viterbi School of EngineeringLos AngelesCaliforniaUSA,Institute for Technology and Medical Systems Innovation, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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