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Izmailova ES, Maguire RP, McCarthy TJ, Müller MLTM, Murphy P, Stephenson D. Empowering drug development: Leveraging insights from imaging technologies to enable the advancement of digital health technologies. Clin Transl Sci 2023; 16:383-397. [PMID: 36382716 PMCID: PMC10014695 DOI: 10.1111/cts.13461] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/27/2022] [Accepted: 11/03/2022] [Indexed: 11/17/2022] Open
Abstract
The US Food and Drug Administration (FDA) has publicly recognized the importance of improving drug development efficiency, deeming translational biomarkers a top priority. The use of imaging biomarkers has been associated with increased rates of drug approvals. An appropriate level of validation provides a pragmatic way to choose and implement these biomarkers. Standardizing imaging modality selection, data acquisition protocols, and image analysis (in ways that are agnostic to equipment and algorithms) have been key to imaging biomarker deployment. The best known examples come from studies done via precompetitive collaboration efforts, which enable input from multiple stakeholders and data sharing. Digital health technologies (DHTs) provide an opportunity to measure meaningful aspects of patient health, including patient function, for extended periods of time outside of the hospital walls, with objective, sensor-based measures. We identified the areas where learnings from the imaging biomarker field can accelerate the adoption and widespread use of DHTs to develop novel treatments. As with imaging, technical validation parameters and performance acceptance thresholds need to be established. Approaches amenable to multiple hardware options and data processing algorithms can be enabled by sharing DHT data and by cross-validating algorithms. Data standardization and creation of shared databases will be vital. Pre-competitive consortia (public-private partnerships and professional societies that bring together all stakeholders, including patient organizations, industry, academic experts, and regulators) will advance the regulatory maturity of DHTs in clinical trials.
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Müller MLTM, Stephenson DT. Leveraging the regulatory framework to facilitate drug development in Parkinson's disease. HANDBOOK OF CLINICAL NEUROLOGY 2023; 193:347-360. [PMID: 36803822 DOI: 10.1016/b978-0-323-85555-6.00015-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
There is an exigent need for disease-modifying and symptomatic treatment approaches for Parkinson's disease. A better understanding of Parkinson's disease pathophysiology and new insights in genetics has opened exciting new venues for pharmacological treatment targets. There are, however, many challenges on the path from discovery to drug approval. These challenges revolve around appropriate endpoint selection, the lack of accurate biomarkers, challenges with diagnostic accuracy, and other challenges commonly encountered by drug developers. The regulatory health authorities, however, have provided tools to provide guidance for drug development and to assist with these challenges. The main goal of the Critical Path for Parkinson's Consortium, a nonprofit public-private partnership part of the Critical Path Institute, is to advance these so-called drug development tools for Parkinson's disease trials. The focus of this chapter will be on how the health regulators' tools were successfully leveraged to facilitate drug development in Parkinson's disease and other neurodegenerative diseases.
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Affiliation(s)
- Martijn L T M Müller
- Critical Path for Parkinson's Consortium - Critical Path Institute, Tucson, AZ, United States.
| | - Diane T Stephenson
- Critical Path for Parkinson's Consortium - Critical Path Institute, Tucson, AZ, United States
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3
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Bandeira LC, Pinto L, Carneiro CM. Pharmacometrics: The Already-Present Future of Precision Pharmacology. Ther Innov Regul Sci 2023; 57:57-69. [PMID: 35984633 DOI: 10.1007/s43441-022-00439-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 07/20/2022] [Indexed: 02/01/2023]
Abstract
The use of mathematical modeling to represent, analyze, make predictions or providing information on data obtained in drug research and development has made pharmacometrics an area of great prominence and importance. The main purpose of pharmacometrics is to provide information relevant to the search for efficacy and safety improvements in pharmacotherapy. Regulatory agencies have adopted pharmacometrics analysis to justify their regulatory decisions, making those decisions more efficient. Demand for specialists trained in the field is therefore growing. In this review, we describe the meaning, history, and development of pharmacometrics, analyzing the challenges faced in the training of professionals. Examples of applications in current use, perspectives for the future, and the importance of pharmacometrics for the development and growth of precision pharmacology are also presented.
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Affiliation(s)
- Lorena Cera Bandeira
- Laboratory of Immunopathology, Nucleus of Biological Sciences Research, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
| | - Leonardo Pinto
- Laboratory of Immunopathology, Nucleus of Biological Sciences Research, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Cláudia Martins Carneiro
- Laboratory of Immunopathology, Nucleus of Biological Sciences Research, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
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4
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Larkindale J, Betourne A, Borens A, Boulanger V, Theurer Crider V, Gavin P, Burton J, Liwski R, Romero K, Walls R, Barrett JS. Innovations in Therapy Development for Rare Diseases Through the Rare Disease Cures Accelerator-Data and Analytics Platform. Ther Innov Regul Sci 2022; 56:768-776. [PMID: 35668316 DOI: 10.1007/s43441-022-00408-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/07/2022] [Indexed: 10/18/2022]
Abstract
Rare diseases impact the lives of an estimated 350 million people worldwide, and yet about 90% of rare diseases remain without an approved treatment. New technologies have become available, such as gene and oligonucleotide therapies, that offer great promise in treating rare diseases. However, progress toward the development of therapies to treat these diseases is hampered by a limited understanding of the course of each rare disease, how changes in disease progression occur and can be effectively measured over time, and challenges in designing and running clinical trials in diseases where the natural history is poorly characterized. Data that could be used to characterize the natural history of each disease has often been collected in various ways, including in electronic health records, patient-report registries, clinical natural history studies, and in past clinical trials. However, each data source contains a limited number of subjects and different data elements, and data is frequently kept proprietary in the hands of the study sponsor rather than shared widely across the rare disease community. The Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP) is an FDA-funded effort to overcome these persistent challenges. By aggregating data across all rare diseases and making that data available to the community to support understanding of rare disease natural history and inform drug development, RDCA-DAP aims to accelerate the regulatory approval of new therapies. RDCA-DAP curates, standardizes, and tags data across rare disease datasets to make it findable within the database, and contains a built-in analytics platform to help visualize, interpret, and use it to support drug development. RDCA-DAP will coordinate data and tool resources across non-profit, commercial, and for-profit entities to serve a diverse array of rare disease stakeholders that includes academic researchers, drug developers, FDA reviewers and of course patients and their caregivers. Drug development programs utilizing the RDCA-DAP will be able to leverage existing data to support their efforts and reach definitive decisions on the efficacy of their therapeutics more efficiently and more rapidly than ever.
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Affiliation(s)
- Jane Larkindale
- Rare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA
| | - Alexandre Betourne
- Rare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA
| | | | | | | | - Pamela Gavin
- National Organization for Rare Disorders (NORD), Danbury, CT, USA
| | - Jackson Burton
- Quantitative Medicine (QM) Groups, Critical Path Institute, Tucson, AZ, USA
| | | | - Klaus Romero
- Quantitative Medicine (QM) Groups, Critical Path Institute, Tucson, AZ, USA
| | | | - Jeffrey S Barrett
- Rare Disease Cures Accelerator - Data Analysis Platform (RDCA-DAP), Tucson, USA. .,Critical Path Institute, 1730 East River Road, Tucson, AZ, 85718-5893, USA.
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5
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Hendrikse NM, Llinares Garcia J, Vetter T, Humphreys AJ, Ehmann F. Biomarkers in Medicines Development-From Discovery to Regulatory Qualification and Beyond. Front Med (Lausanne) 2022; 9:878942. [PMID: 35559349 PMCID: PMC9086587 DOI: 10.3389/fmed.2022.878942] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/14/2022] [Indexed: 11/25/2022] Open
Abstract
Biomarkers are important tools in medicines development and clinical practice. Besides their use in clinical trials, such as for enrichment of patients, monitoring safety or response to treatment, biomarkers are a cornerstone of precision medicine. The European Medicines Agency (EMA) emphasised the importance of the discovery, qualification, and use of biomarkers in their Regulatory Science Strategy to 2025, which included the recommendation to enhance early engagement with biomarker developers to facilitate regulatory qualification. This study explores the journey of biomarkers through the EU regulatory system and beyond, based on a review of interactions between developers and the EMA from 2008 to 2020, as well as the use of qualified biomarkers in clinical trials. Of applicants that used early interaction platforms such as the Innovation Task Force, less than half engaged in fee-related follow-up procedures. Results showed that, as compared to companies, consortia were more likely to opt for the Qualification of Novel Methodologies procedure and engage in follow-up procedures. Our results highlight the importance of early engagement with regulators for achieving biomarker qualification, including pre-submission discussions in the context of the qualification procedure. A review of clinical trials showed that all qualified biomarkers are used in practice, although not always according to the endorsed context of use. Overall, this study highlights important aspects of biomarker qualification, including opportunities to improve the seamless support for developers by EMA. The use of qualified biomarkers in clinical trials underlines the importance of regulatory qualification, which will further enable precision medicine for the benefit of patients.
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Affiliation(s)
- Natalie M Hendrikse
- Regulatory Science and Innovation Task Force, European Medicines Agency, Amsterdam, Netherlands
| | - Jordi Llinares Garcia
- Regulatory Science and Innovation Task Force, European Medicines Agency, Amsterdam, Netherlands
| | - Thorsten Vetter
- Scientific Advice Office, European Medicines Agency, Amsterdam, Netherlands
| | - Anthony J Humphreys
- Regulatory Science and Innovation Task Force, European Medicines Agency, Amsterdam, Netherlands
| | - Falk Ehmann
- Regulatory Science and Innovation Task Force, European Medicines Agency, Amsterdam, Netherlands
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den Boer JA, de Vries EJ, Borra RJ, Waarde AV, Lammertsma AA, Dierckx RA. Role of Brain Imaging in Drug Development for Psychiatry. Curr Rev Clin Exp Pharmacol 2022; 17:46-71. [DOI: 10.2174/1574884716666210322143458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 12/17/2020] [Accepted: 01/06/2021] [Indexed: 11/22/2022]
Abstract
Background:
Over the last decades, many brain imaging studies have contributed to
new insights in the pathogenesis of psychiatric disease. However, in spite of these developments,
progress in the development of novel therapeutic drugs for prevalent psychiatric health conditions
has been limited.
Objective:
In this review, we discuss translational, diagnostic and methodological issues that have
hampered drug development in CNS disorders with a particular focus on psychiatry. The role of
preclinical models is critically reviewed and opportunities for brain imaging in early stages of drug
development using PET and fMRI are discussed. The role of PET and fMRI in drug development
is reviewed emphasizing the need to engage in collaborations between industry, academia and
phase I units.
Conclusion:
Brain imaging technology has revolutionized the study of psychiatric illnesses, and
during the last decade, neuroimaging has provided valuable insights at different levels of analysis
and brain organization, such as effective connectivity (anatomical), functional connectivity patterns
and neurochemical information that may support both preclinical and clinical drug development.
Since there is no unifying pathophysiological theory of individual psychiatric syndromes and since
many symptoms cut across diagnostic boundaries, a new theoretical framework has been proposed
that may help in defining new targets for treatment and thus enhance drug development in CNS diseases.
In addition, it is argued that new proposals for data-mining and mathematical modelling as
well as freely available databanks for neural network and neurochemical models of rodents combined
with revised psychiatric classification will lead to new validated targets for drug development.
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Affiliation(s)
| | - Erik J.F. de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ronald J.H. Borra
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Aren van Waarde
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Adriaan A. Lammertsma
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Rudi A. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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7
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Palermo G, Giannoni S, Bellini G, Siciliano G, Ceravolo R. Dopamine Transporter Imaging, Current Status of a Potential Biomarker: A Comprehensive Review. Int J Mol Sci 2021; 22:11234. [PMID: 34681899 PMCID: PMC8538800 DOI: 10.3390/ijms222011234] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 11/16/2022] Open
Abstract
A major goal of current clinical research in Parkinson's disease (PD) is the validation and standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding PD pathophysiology, and demonstrating target engagement in clinical trials. Molecular imaging with specific dopamine-related tracers offers a practical indirect imaging biomarker of PD, serving as a powerful tool to assess the status of presynaptic nigrostriatal terminals. In this review we provide an update on the dopamine transporter (DAT) imaging in PD and translate recent findings to potentially valuable clinical practice applications. The role of DAT imaging as diagnostic, preclinical and predictive biomarker is discussed, especially in view of recent evidence questioning the incontrovertible correlation between striatal DAT binding and nigral cell or axon counts.
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Affiliation(s)
- Giovanni Palermo
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Sara Giannoni
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
- Unit of Neurology, San Giuseppe Hospital, 50053 Empoli, Italy
| | - Gabriele Bellini
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Gabriele Siciliano
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
| | - Roberto Ceravolo
- Unit of Neurology, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; (G.P.); (S.G.); (G.B.); (G.S.)
- Center for Neurodegenerative Diseases, Unit of Neurology, Parkinson’s Disease and Movement Disorders, Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
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Schwarzschild MA, Ascherio A, Casaceli C, Curhan GC, Fitzgerald R, Kamp C, Lungu C, Macklin EA, Marek K, Mozaffarian D, Oakes D, Rudolph A, Shoulson I, Videnovic A, Scott B, Gauger L, Aldred J, Bixby M, Ciccarello J, Gunzler SA, Henchcliffe C, Brodsky M, Keith K, Hauser RA, Goetz C, LeDoux MS, Hinson V, Kumar R, Espay AJ, Jimenez-Shahed J, Hunter C, Christine C, Daley A, Leehey M, de Marcaida JA, Friedman JH, Hung A, Bwala G, Litvan I, Simon DK, Simuni T, Poon C, Schiess MC, Chou K, Park A, Bhatti D, Peterson C, Criswell SR, Rosenthal L, Durphy J, Shill HA, Mehta SH, Ahmed A, Deik AF, Fang JY, Stover N, Zhang L, Dewey RB, Gerald A, Boyd JT, Houston E, Suski V, Mosovsky S, Cloud L, Shah BB, Saint-Hilaire M, James R, Zauber SE, Reich S, Shprecher D, Pahwa R, Langhammer A, LaFaver K, LeWitt PA, Kaminski P, Goudreau J, Russell D, Houghton DJ, Laroche A, Thomas K, McGraw M, Mari Z, Serrano C, Blindauer K, Rabin M, Kurlan R, Morgan JC, Soileau M, Ainslie M, Bodis-Wollner I, Schneider RB, Waters C, Ratel AS, Beck CA, Bolger P, Callahan KF, Crotty GF, Klements D, Kostrzebski M, McMahon GM, Pothier L, Waikar SS, Lang A, Mestre T. Effect of Urate-Elevating Inosine on Early Parkinson Disease Progression: The SURE-PD3 Randomized Clinical Trial. JAMA 2021; 326:926-939. [PMID: 34519802 PMCID: PMC8441591 DOI: 10.1001/jama.2021.10207] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 06/05/2021] [Indexed: 01/13/2023]
Abstract
Importance Urate elevation, despite associations with crystallopathic, cardiovascular, and metabolic disorders, has been pursued as a potential disease-modifying strategy for Parkinson disease (PD) based on convergent biological, epidemiological, and clinical data. Objective To determine whether sustained urate-elevating treatment with the urate precursor inosine slows early PD progression. Design, Participants, and Setting Randomized, double-blind, placebo-controlled, phase 3 trial of oral inosine treatment in early PD. A total of 587 individuals consented, and 298 with PD not yet requiring dopaminergic medication, striatal dopamine transporter deficiency, and serum urate below the population median concentration (<5.8 mg/dL) were randomized between August 2016 and December 2017 at 58 US sites, and were followed up through June 2019. Interventions Inosine, dosed by blinded titration to increase serum urate concentrations to 7.1-8.0 mg/dL (n = 149) or matching placebo (n = 149) for up to 2 years. Main Outcomes and Measures The primary outcome was rate of change in the Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS-UPDRS; parts I-III) total score (range, 0-236; higher scores indicate greater disability; minimum clinically important difference of 6.3 points) prior to dopaminergic drug therapy initiation. Secondary outcomes included serum urate to measure target engagement, adverse events to measure safety, and 29 efficacy measures of disability, quality of life, cognition, mood, autonomic function, and striatal dopamine transporter binding as a biomarker of neuronal integrity. Results Based on a prespecified interim futility analysis, the study closed early, with 273 (92%) of the randomized participants (49% women; mean age, 63 years) completing the study. Clinical progression rates were not significantly different between participants randomized to inosine (MDS-UPDRS score, 11.1 [95% CI, 9.7-12.6] points per year) and placebo (MDS-UPDRS score, 9.9 [95% CI, 8.4-11.3] points per year; difference, 1.26 [95% CI, -0.59 to 3.11] points per year; P = .18). Sustained elevation of serum urate by 2.03 mg/dL (from a baseline level of 4.6 mg/dL; 44% increase) occurred in the inosine group vs a 0.01-mg/dL change in serum urate in the placebo group (difference, 2.02 mg/dL [95% CI, 1.85-2.19 mg/dL]; P<.001). There were no significant differences for secondary efficacy outcomes including dopamine transporter binding loss. Participants randomized to inosine, compared with placebo, experienced fewer serious adverse events (7.4 vs 13.1 per 100 patient-years) but more kidney stones (7.0 vs 1.4 stones per 100 patient-years). Conclusions and Relevance Among patients recently diagnosed as having PD, treatment with inosine, compared with placebo, did not result in a significant difference in the rate of clinical disease progression. The findings do not support the use of inosine as a treatment for early PD. Trial Registration ClinicalTrials.gov Identifier: NCT02642393.
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Affiliation(s)
- Michael A Schwarzschild
- Mass General Institute for Neurodegenerative Disease, Boston, Massachusetts
- Massachusetts General Hospital, Boston
| | | | | | | | - Rebecca Fitzgerald
- Parkinson's Foundation Research Advocates, Parkinson's Foundation, New York, New York
| | | | - Codrin Lungu
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Eric A Macklin
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut
| | - Dariush Mozaffarian
- Tufts School of Medicine and Division of Cardiology, Tufts Medical Center, Boston, Massachusetts
- Friedman School of Nutrition Science and Policy, Boston, Massachusetts
| | - David Oakes
- University of Rochester, Rochester, New York
| | | | - Ira Shoulson
- Department of Neurology, University of Rochester Medical Center, Rochester, New York
| | | | | | | | - Jason Aldred
- Inland Northwest Research, Spokane, Washington
- Selkirk Neurology, Spokane, Washington
| | | | | | | | - Claire Henchcliffe
- University of California, Irvine
- Weill Cornell Medical College, New York, New York
| | | | | | | | | | | | | | - Rajeev Kumar
- Rocky Mountain Movement Disorders Center, Englewood, Colorado
| | | | | | | | | | | | | | | | | | | | | | | | - David K Simon
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Tanya Simuni
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Cynthia Poon
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Mya C Schiess
- The University of Texas Health Science Center, Houston McGovern Medical School, Houston
| | | | - Ariane Park
- The Ohio State University Wexner Medical Center, Columbus
| | | | | | - Susan R Criswell
- Washington University School of Medicine in St Louis, St Louis, Missouri
| | | | | | - Holly A Shill
- Banner Sun Health Research Institute, Sun City, Arizona
- University of Arizona School of Medicine-Phoenix
| | | | | | | | - John Y Fang
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | - Ashley Gerald
- University of Texas Southwestern Medical Center, Dallas
| | | | | | | | | | - Leslie Cloud
- VCU Parkinson's & Movement Disorders Center, Richmond, Virginia
| | | | | | | | | | - Stephen Reich
- University of Maryland School of Medicine, Baltimore
| | - David Shprecher
- Banner Sun Health Research Institute, Sun City, Arizona
- University of Arizona School of Medicine-Phoenix
| | - Rajesh Pahwa
- University of Kansas Medical Center, Kansas City
| | | | - Kathrin LaFaver
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Peter A LeWitt
- Henry Ford Hospital-West Bloomfield, West Bloomfield Township, Michigan
| | - Patricia Kaminski
- Henry Ford Hospital-West Bloomfield, West Bloomfield Township, Michigan
| | | | | | | | | | - Karen Thomas
- Sentara Neurology Specialists, Norfolk, Virginia
| | - Martha McGraw
- Center for Movement Disorders and Neurodegenerative Disease, Northwestern Medicine/Central DuPage Hospital, Winfield, Illinois
| | - Zoltan Mari
- Cleveland Clinic-Las Vegas, Las Vegas, Nevada
| | | | | | - Marcie Rabin
- Atlantic Neuroscience Institute, Summit, New Jersey
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Summit, New Jersey
| | | | - Michael Soileau
- Texas Movement Disorder Specialists, Georgetown
- Scott & White Healthcare/Texas A&M University, Temple
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sushrut S Waikar
- Boston University School of Medicine, Boston, Massachusetts
- Boston Medical Center, Boston, Massachusetts
| | - Anthony Lang
- University of Toronto, Toronto, Ontario, Canada
- Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, Toronto, Ontario, Canada
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9
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Schwarz AJ. The Use, Standardization, and Interpretation of Brain Imaging Data in Clinical Trials of Neurodegenerative Disorders. Neurotherapeutics 2021; 18:686-708. [PMID: 33846962 PMCID: PMC8423963 DOI: 10.1007/s13311-021-01027-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2021] [Indexed: 12/11/2022] Open
Abstract
Imaging biomarkers play a wide-ranging role in clinical trials for neurological disorders. This includes selecting the appropriate trial participants, establishing target engagement and mechanism-related pharmacodynamic effect, monitoring safety, and providing evidence of disease modification. In the early stages of clinical drug development, evidence of target engagement and/or downstream pharmacodynamic effect-especially with a clear relationship to dose-can provide confidence that the therapeutic candidate should be advanced to larger and more expensive trials, and can inform the selection of the dose(s) to be further tested, i.e., to "de-risk" the drug development program. In these later-phase trials, evidence that the therapeutic candidate is altering disease-related biomarkers can provide important evidence that the clinical benefit of the compound (if observed) is grounded in meaningful biological changes. The interpretation of disease-related imaging markers, and comparability across different trials and imaging tools, is greatly improved when standardized outcome measures are defined. This standardization should not impinge on scientific advances in the imaging tools per se but provides a common language in which the results generated by these tools are expressed. PET markers of pathological protein aggregates and structural imaging of brain atrophy are common disease-related elements across many neurological disorders. However, PET tracers for pathologies beyond amyloid β and tau are needed, and the interpretability of structural imaging can be enhanced by some simple considerations to guard against the possible confound of pseudo-atrophy. Learnings from much-studied conditions such as Alzheimer's disease and multiple sclerosis will be beneficial as the field embraces rarer diseases.
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Affiliation(s)
- Adam J Schwarz
- Takeda Pharmaceuticals Ltd., 40 Landsdowne Street, Cambridge, MA, 02139, USA.
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10
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Abstract
In recent years, a precision medicine approach, which customizes medical treatments based on patients' individual profiles and incorporates variability in genes, the environment, and lifestyle, has transformed medical care in numerous medical fields, most notably oncology. Applying a similar approach to Parkinson's disease (PD) may promote the development of disease-modifying agents that could help slow progression or possibly even avert disease development in a subset of at-risk individuals. The urgent need for such trials partially stems from the negative results of clinical trials where interventions treat all PD patients as a single homogenous group. Here, we review the current obstacles towards the development of precision interventions in PD. We also review and discuss the clinical trials that target genetic forms of PD, i.e., GBA-associated and LRRK2-associated PD.
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Affiliation(s)
- Susanne A Schneider
- Department of Neurology, Ludwig-Maximilians-University of München, Marchioninistr. 15, 81377, Munich, Germany.
| | - Baccara Hizli
- Department of Neurology, Ludwig-Maximilians-University of München, Marchioninistr. 15, 81377, Munich, Germany
| | - Roy N Alcalay
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
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11
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Bi Y, Rekić D, Paterniti MO, Chen J, Marathe A, Chowdhury BA, Karimi-Shah BA, Wang Y. A disease progression model of longitudinal lung function decline in idiopathic pulmonary fibrosis patients. J Pharmacokinet Pharmacodyn 2020; 48:55-67. [PMID: 32949322 DOI: 10.1007/s10928-020-09718-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/01/2020] [Indexed: 11/24/2022]
Abstract
Pirfenidone and nintedanib are the first two FDA-approved therapies for treatment of idiopathic pulmonary fibrosis (IPF). The clinical programs for pirfenidone and nintedanib included 1132 patients in the placebo arms and 1691 patients in the treatment arms across 6 trials. We developed a disease progression model to characterize the observed variability in lung function decline, measured as percent predicted forced vital capacity (%p-FVC), and its decrease in decline after treatment. The non-linear longitudinal change in %p-FVC was best described by a Weibull function. The median decreased decline in %p-FVC after treatment was estimated to be 1.50% (95% CI [1.12, 1.79]) and 1.96% (95% CI [1.47, 2.36]) at week 26 and week 52, respectively. Smoking status, weight, %p-FVC, %p-DLco and oxygen use at baseline were identified as significant covariates affecting decline in %p-FVC. The decreased decline in %p-FVC were observed among all subgroups of interest, of which the effects were larger at 1 year compared to 6 months. Based on the disease progression model smoking status and oxygen use at baseline may affect the treatment effect size. At week 52, the decreased decline in %p-FVC for current smokers and patients with oxygen use at baseline were 1.56 (90% CI [1.02, 1.99]) and 2.32 (90% CI [1.74, 2.86]), respectively. These prognostic factors may be used to enrich studies with patients who are more likely to respond to treatment, by demonstrating a lesser decline in lung function, and therefore provide the potential to allow for IPF studies with smaller study populations or shorter durations.
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Affiliation(s)
- Youwei Bi
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Dinko Rekić
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.,AstraZeneca, Cambridge, UK
| | - Miya O Paterniti
- Division of Pulmonary, Allergy, and Rheumatology Products, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Jianmeng Chen
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Anshu Marathe
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.,Novartis, East Hanover, NJ, USA
| | - Badrul A Chowdhury
- Division of Pulmonary, Allergy, and Rheumatology Products, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.,Savara Inc., Austin, TX, USA
| | - Banu A Karimi-Shah
- Division of Pulmonary, Allergy, and Rheumatology Products, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Yaning Wang
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
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12
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Shahin MH, Bhattacharya S, Silva D, Kim S, Burton J, Podichetty J, Romero K, Conrado DJ. Open Data Revolution in Clinical Research: Opportunities and Challenges. Clin Transl Sci 2020; 13:665-674. [PMID: 32004409 PMCID: PMC7359943 DOI: 10.1111/cts.12756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 12/05/2019] [Indexed: 01/24/2023] Open
Abstract
Efforts for sharing individual clinical data are gaining momentum due to a heightened recognition that integrated data sets can catalyze biomedical discoveries and drug development. Among the benefits are the fact that data sharing can help generate and investigate new research hypothesis beyond those explored in the original study. Despite several accomplishments establishing public systems and guidance for data sharing in clinical trials, this practice is not the norm. Among the reasons are ethical challenges, such as privacy of individuals, data ownership, and control. This paper creates awareness of the potential benefits and challenges of sharing individual clinical data, how to overcome these challenges, and how as a clinical pharmacology community we can shape future directions in this field.
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Affiliation(s)
| | - Sanchita Bhattacharya
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, USA.,Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Diego Silva
- Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada.,Sydney Health Ethics, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Sarah Kim
- Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA
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13
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Conrado DJ, Burton J, Hill D, Willis B, Sinha V, Stone J, Coello N, Wang W, Chen D, Nicholas T, Gold M, Hartley E, Kern VD, Romero K. Hippocampal Neuroimaging-Informed Clinical Trial Enrichment Tool for Amnestic Mild Cognitive Impairment Using Open Data. Clin Pharmacol Ther 2020; 107:903-914. [PMID: 31899810 DOI: 10.1002/cpt.1766] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 11/08/2019] [Indexed: 11/05/2022]
Abstract
Our goal was to assess the enrichment utility of hippocampal volume (HV) as an enrichment biomarker in amnestic mild cognitive impairment (aMCI) clinical trials, and, hence, develop an HV neuroimaging-informed clinical trial enrichment tool. Modeling of integrated longitudinal patient-level data came from open-access natural history studies in patients diagnosed with aMCI-the Alzheimer's Disease Neuroimaging Initiative (ADNI)-1 and ADNI-2-and indicated that a decrease of 1 cm3 with respect to the analysis dataset median baseline intracranial volume-adjusted HV (ICV-HV; ~ 5 cm3 ) is associated with > 50% increase in disease progression rate as measured by the Clinical Dementia Rating Scale-Sum of Boxes. Clinical trial simulations showed that the inclusion of aMCI subjects with baseline ICV-HV below the 84th or 50th percentile allowed an approximate reduction in trial size of at least 26% and 55%, respectively. This clinical trial enrichment tool can help design more efficient and informative clinical trials.
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Affiliation(s)
| | | | - Derek Hill
- Panoramic Digital Health, Grenoble, France.,Critical Path Institute, Tucson, Arizona, USA
| | - Brian Willis
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | - Vikram Sinha
- Merck & Co. Inc., Philadelphia, Pennsylvania, USA
| | - Julie Stone
- Merck & Co. Inc., Philadelphia, Pennsylvania, USA
| | - Neva Coello
- Novartis Pharmaceuticals, Basel, Switzerland
| | - Wenping Wang
- Novartis Pharmaceuticals, Philadelphia, Pennsylvania, USA
| | - Danny Chen
- Pfizer Inc, Cambridge, Massachusetts, USA
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14
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Javidnia M, Frasier M, Shoulson I, Turkoz I, Budur K. Innovative Approaches for Slowing Disease Progression in Parkinson's Disease: Takeaways from the 14th Annual International Society for Central Nervous System Clinical Trials and Methodology Scientific Meeting. INNOVATIONS IN CLINICAL NEUROSCIENCE 2020; 17:14-19. [PMID: 32547841 PMCID: PMC7239563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The International Society for Central Nervous System Clinical Trials and Methodology (ISCTM) partnered with the Michael J. Fox Foundation for Parkinson's Research to hold a joint session on innovation in Parkinson's disease research at the ISCTM 14th Annual Scientific Meeting held February 20 to 22, 2018 in Washington, D.C. The session focused on (1) biomarkers and outcomes measures in Parkinson's disease clinical trials; 2) clinical trial designs, outcomes, and statistical approaches; and 3) the path forward. This paper aims to summarize key takeaways from the session presenters, panelists, and audience members.
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Affiliation(s)
- Monica Javidnia
- Drs. Javidnia and Shoulson are with the Center for Health + Technology and the Department of Neurology, University of Rochester Medical Center in Rochester, New York
- Dr. Shoulson is also with Grey Matter Technologies in Sarasota, Florida
- Dr. Frasier is with the Michael J. Fox Foundation for Parkinson's Research in New York, New York
- Dr. Turkoz is with Janssen Research & Development in Titusville, New Jersey
- Dr. Budur is with AbbVie in Lake Bluff, Illinois
| | - Mark Frasier
- Drs. Javidnia and Shoulson are with the Center for Health + Technology and the Department of Neurology, University of Rochester Medical Center in Rochester, New York
- Dr. Shoulson is also with Grey Matter Technologies in Sarasota, Florida
- Dr. Frasier is with the Michael J. Fox Foundation for Parkinson's Research in New York, New York
- Dr. Turkoz is with Janssen Research & Development in Titusville, New Jersey
- Dr. Budur is with AbbVie in Lake Bluff, Illinois
| | - Ira Shoulson
- Drs. Javidnia and Shoulson are with the Center for Health + Technology and the Department of Neurology, University of Rochester Medical Center in Rochester, New York
- Dr. Shoulson is also with Grey Matter Technologies in Sarasota, Florida
- Dr. Frasier is with the Michael J. Fox Foundation for Parkinson's Research in New York, New York
- Dr. Turkoz is with Janssen Research & Development in Titusville, New Jersey
- Dr. Budur is with AbbVie in Lake Bluff, Illinois
| | - Ibrahim Turkoz
- Drs. Javidnia and Shoulson are with the Center for Health + Technology and the Department of Neurology, University of Rochester Medical Center in Rochester, New York
- Dr. Shoulson is also with Grey Matter Technologies in Sarasota, Florida
- Dr. Frasier is with the Michael J. Fox Foundation for Parkinson's Research in New York, New York
- Dr. Turkoz is with Janssen Research & Development in Titusville, New Jersey
- Dr. Budur is with AbbVie in Lake Bluff, Illinois
| | - Kumar Budur
- Drs. Javidnia and Shoulson are with the Center for Health + Technology and the Department of Neurology, University of Rochester Medical Center in Rochester, New York
- Dr. Shoulson is also with Grey Matter Technologies in Sarasota, Florida
- Dr. Frasier is with the Michael J. Fox Foundation for Parkinson's Research in New York, New York
- Dr. Turkoz is with Janssen Research & Development in Titusville, New Jersey
- Dr. Budur is with AbbVie in Lake Bluff, Illinois
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15
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Stephenson D, Hill D, Cedarbaum JM, Tome M, Vamvakas S, Romero K, Conrado DJ, Dexter DT, Seibyl J, Jennings D, Nicholas T, Matthews D, Xie Z, Imam S, Maguire P, Russell D, Gordon MF, Stebbins GT, Somer E, Gallagher J, Roach A, Basseches P, Grosset D, Marek K. The Qualification of an Enrichment Biomarker for Clinical Trials Targeting Early Stages of Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2019; 9:553-563. [PMID: 31306141 PMCID: PMC6700608 DOI: 10.3233/jpd-191648] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/31/2019] [Indexed: 12/12/2022]
Abstract
As therapeutic trials target early stages of Parkinson's disease (PD), appropriate patient selection based purely on clinical criteria poses significant challenges. Members of the Critical Path for Parkinson's Consortium formally submitted documentation to the European Medicines Agency (EMA) supporting the use of Dopamine Transporter (DAT) neuroimaging in early PD. Regulatory documents included a comprehensive literature review, a proposed analysis plan of both observational and clinical trial data, and an assessment of biomarker reproducibility and reliability. The research plan included longitudinal analysis of the Parkinson Research Examination of CEP-1347 Trial (PRECEPT) and the Parkinson's Progression Markers Initiative (PPMI) study to estimate the degree of enrichment achieved and impact on future trials in subjects with early motor PD. The presence of reduced striatal DAT binding based on visual reads of single photon emission tomography (SPECT) scans in early motor PD subjects was an independent predictor of faster decline in UPDRS Parts II and III as compared to subjects with scans without evidence of dopaminergic deficit (SWEDD) over 24 months. The EMA issued in 2018 a full Qualification Opinion for the use of DAT as an enrichment biomarker in PD trials targeting subjects with early motor symptoms. Exclusion of SWEDD subjects in future clinical trials targeting early motor PD subjects aims to enrich clinical trial populations with idiopathic PD patients, improve statistical power, and exclude subjects who are unlikely to progress clinically from being exposed to novel test therapeutics.
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Affiliation(s)
| | | | | | - Maria Tome
- European Medicines Agency, Amsterdam, Netherlands
| | | | | | | | | | - John Seibyl
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | | | | | | | | | - Syed Imam
- U.S. Food and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA
| | | | - David Russell
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | | | | | | | | | | | | | | | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
| | - on behalf of the Critical Path for Parkinson’s Consortium
- Critical Path Institute, Tucson, AZ, USA
- University College London, UK
- Biogen, Cambridge, MA, USA
- European Medicines Agency, Amsterdam, Netherlands
- Parkinson’s UK, London, UK
- Institute for Neurodegenerative Disorders, New Haven, CT, USA
- Denali Therapeutics, San Francisco, CA, USA
- Pfizer, Groton, CT, USA
- ADM Diagnostics, Northbrook, IL, USA
- UCB, Brussels, Belgium
- CPP Scientific Advisor, PA, USA
- GE Healthcare, London, UK
- Merck & Co., Philadelphia, PA, USA
- University of Glasgow, Scotland
- Rush University, Chicago, IL, USA
- U.S. Food and Drug Administration, National Center for Toxicological Research, Jefferson, AR, USA
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