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Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping

Multiple system atrophy (MSA) is a fatal neurodegenerative disease of unknown etiology characterized by widespread aggregation of the protein alpha-synuclein in neurons and glia. Its orphan status, biological relationship to Parkinson’s disease (PD), and rapid progression have sparked interest in dr...

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Autores principales: Ndayisaba, Alain, Pitaro, Ariana T., Willett, Andrew S., Jones, Kristie A., de Gusmao, Claudio Melo, Olsen, Abby L., Kim, Jisoo, Rissanen, Eero, Woods, Jared K., Srinivasan, Sharan R., Nagy, Anna, Nagy, Amanda, Mesidor, Merlyne, Cicero, Steven, Patel, Viharkumar, Oakley, Derek H., Tuncali, Idil, Taglieri-Noble, Katherine, Clark, Emily C., Paulson, Jordan, Krolewski, Richard C., Ho, Gary P., Hung, Albert Y., Wills, Anne-Marie, Hayes, Michael T., Macmore, Jason P., Warren, Luigi, Bower, Pamela G., Langer, Carol B., Kellerman, Lawrence R., Humphreys, Christopher W., Glanz, Bonnie I., Dielubanza, Elodi J., Frosch, Matthew P., Freeman, Roy L., Gibbons, Christopher H., Stefanova, Nadia, Chitnis, Tanuja, Weiner, Howard L., Scherzer, Clemens R., Scholz, Sonja W., Vuzman, Dana, Cox, Laura M., Wenning, Gregor, Schmahmann, Jeremy D., Gupta, Anoopum S., Novak, Peter, Young, Geoffrey S., Feany, Mel B., Singhal, Tarun, Khurana, Vikram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527378/
https://www.ncbi.nlm.nih.gov/pubmed/36190676
http://dx.doi.org/10.1007/s12311-022-01471-8
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author Ndayisaba, Alain
Pitaro, Ariana T.
Willett, Andrew S.
Jones, Kristie A.
de Gusmao, Claudio Melo
Olsen, Abby L.
Kim, Jisoo
Rissanen, Eero
Woods, Jared K.
Srinivasan, Sharan R.
Nagy, Anna
Nagy, Amanda
Mesidor, Merlyne
Cicero, Steven
Patel, Viharkumar
Oakley, Derek H.
Tuncali, Idil
Taglieri-Noble, Katherine
Clark, Emily C.
Paulson, Jordan
Krolewski, Richard C.
Ho, Gary P.
Hung, Albert Y.
Wills, Anne-Marie
Hayes, Michael T.
Macmore, Jason P.
Warren, Luigi
Bower, Pamela G.
Langer, Carol B.
Kellerman, Lawrence R.
Humphreys, Christopher W.
Glanz, Bonnie I.
Dielubanza, Elodi J.
Frosch, Matthew P.
Freeman, Roy L.
Gibbons, Christopher H.
Stefanova, Nadia
Chitnis, Tanuja
Weiner, Howard L.
Scherzer, Clemens R.
Scholz, Sonja W.
Vuzman, Dana
Cox, Laura M.
Wenning, Gregor
Schmahmann, Jeremy D.
Gupta, Anoopum S.
Novak, Peter
Young, Geoffrey S.
Feany, Mel B.
Singhal, Tarun
Khurana, Vikram
author_facet Ndayisaba, Alain
Pitaro, Ariana T.
Willett, Andrew S.
Jones, Kristie A.
de Gusmao, Claudio Melo
Olsen, Abby L.
Kim, Jisoo
Rissanen, Eero
Woods, Jared K.
Srinivasan, Sharan R.
Nagy, Anna
Nagy, Amanda
Mesidor, Merlyne
Cicero, Steven
Patel, Viharkumar
Oakley, Derek H.
Tuncali, Idil
Taglieri-Noble, Katherine
Clark, Emily C.
Paulson, Jordan
Krolewski, Richard C.
Ho, Gary P.
Hung, Albert Y.
Wills, Anne-Marie
Hayes, Michael T.
Macmore, Jason P.
Warren, Luigi
Bower, Pamela G.
Langer, Carol B.
Kellerman, Lawrence R.
Humphreys, Christopher W.
Glanz, Bonnie I.
Dielubanza, Elodi J.
Frosch, Matthew P.
Freeman, Roy L.
Gibbons, Christopher H.
Stefanova, Nadia
Chitnis, Tanuja
Weiner, Howard L.
Scherzer, Clemens R.
Scholz, Sonja W.
Vuzman, Dana
Cox, Laura M.
Wenning, Gregor
Schmahmann, Jeremy D.
Gupta, Anoopum S.
Novak, Peter
Young, Geoffrey S.
Feany, Mel B.
Singhal, Tarun
Khurana, Vikram
author_sort Ndayisaba, Alain
collection PubMed
description Multiple system atrophy (MSA) is a fatal neurodegenerative disease of unknown etiology characterized by widespread aggregation of the protein alpha-synuclein in neurons and glia. Its orphan status, biological relationship to Parkinson’s disease (PD), and rapid progression have sparked interest in drug development. One significant obstacle to therapeutics is disease heterogeneity. Here, we share our process of developing a clinical trial-ready cohort of MSA patients (69 patients in 2 years) within an outpatient clinical setting, and recruiting 20 of these patients into a longitudinal “n-of-few” clinical trial paradigm. First, we deeply phenotype our patients with clinical scales (UMSARS, BARS, MoCA, NMSS, and UPSIT) and tests designed to establish early differential diagnosis (including volumetric MRI, FDG-PET, MIBG scan, polysomnography, genetic testing, autonomic function tests, skin biopsy) or disease activity (PBR06-TSPO). Second, we longitudinally collect biospecimens (blood, CSF, stool) and clinical, biometric, and imaging data to generate antecedent disease-progression scores. Third, in our Mass General Brigham SCiN study (stem cells in neurodegeneration), we generate induced pluripotent stem cell (iPSC) models from our patients, matched to biospecimens, including postmortem brain. We present 38 iPSC lines derived from MSA patients and relevant disease controls (spinocerebellar ataxia and PD, including alpha-synuclein triplication cases), 22 matched to whole-genome sequenced postmortem brain. iPSC models may facilitate matching patients to appropriate therapies, particularly in heterogeneous diseases for which patient-specific biology may elude animal models. We anticipate that deeply phenotyped and genotyped patient cohorts matched to cellular models will increase the likelihood of success in clinical trials for MSA.
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spelling pubmed-95273782022-10-03 Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping Ndayisaba, Alain Pitaro, Ariana T. Willett, Andrew S. Jones, Kristie A. de Gusmao, Claudio Melo Olsen, Abby L. Kim, Jisoo Rissanen, Eero Woods, Jared K. Srinivasan, Sharan R. Nagy, Anna Nagy, Amanda Mesidor, Merlyne Cicero, Steven Patel, Viharkumar Oakley, Derek H. Tuncali, Idil Taglieri-Noble, Katherine Clark, Emily C. Paulson, Jordan Krolewski, Richard C. Ho, Gary P. Hung, Albert Y. Wills, Anne-Marie Hayes, Michael T. Macmore, Jason P. Warren, Luigi Bower, Pamela G. Langer, Carol B. Kellerman, Lawrence R. Humphreys, Christopher W. Glanz, Bonnie I. Dielubanza, Elodi J. Frosch, Matthew P. Freeman, Roy L. Gibbons, Christopher H. Stefanova, Nadia Chitnis, Tanuja Weiner, Howard L. Scherzer, Clemens R. Scholz, Sonja W. Vuzman, Dana Cox, Laura M. Wenning, Gregor Schmahmann, Jeremy D. Gupta, Anoopum S. Novak, Peter Young, Geoffrey S. Feany, Mel B. Singhal, Tarun Khurana, Vikram Cerebellum Original Article Multiple system atrophy (MSA) is a fatal neurodegenerative disease of unknown etiology characterized by widespread aggregation of the protein alpha-synuclein in neurons and glia. Its orphan status, biological relationship to Parkinson’s disease (PD), and rapid progression have sparked interest in drug development. One significant obstacle to therapeutics is disease heterogeneity. Here, we share our process of developing a clinical trial-ready cohort of MSA patients (69 patients in 2 years) within an outpatient clinical setting, and recruiting 20 of these patients into a longitudinal “n-of-few” clinical trial paradigm. First, we deeply phenotype our patients with clinical scales (UMSARS, BARS, MoCA, NMSS, and UPSIT) and tests designed to establish early differential diagnosis (including volumetric MRI, FDG-PET, MIBG scan, polysomnography, genetic testing, autonomic function tests, skin biopsy) or disease activity (PBR06-TSPO). Second, we longitudinally collect biospecimens (blood, CSF, stool) and clinical, biometric, and imaging data to generate antecedent disease-progression scores. Third, in our Mass General Brigham SCiN study (stem cells in neurodegeneration), we generate induced pluripotent stem cell (iPSC) models from our patients, matched to biospecimens, including postmortem brain. We present 38 iPSC lines derived from MSA patients and relevant disease controls (spinocerebellar ataxia and PD, including alpha-synuclein triplication cases), 22 matched to whole-genome sequenced postmortem brain. iPSC models may facilitate matching patients to appropriate therapies, particularly in heterogeneous diseases for which patient-specific biology may elude animal models. We anticipate that deeply phenotyped and genotyped patient cohorts matched to cellular models will increase the likelihood of success in clinical trials for MSA. Springer US 2022-10-03 /pmc/articles/PMC9527378/ /pubmed/36190676 http://dx.doi.org/10.1007/s12311-022-01471-8 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Ndayisaba, Alain
Pitaro, Ariana T.
Willett, Andrew S.
Jones, Kristie A.
de Gusmao, Claudio Melo
Olsen, Abby L.
Kim, Jisoo
Rissanen, Eero
Woods, Jared K.
Srinivasan, Sharan R.
Nagy, Anna
Nagy, Amanda
Mesidor, Merlyne
Cicero, Steven
Patel, Viharkumar
Oakley, Derek H.
Tuncali, Idil
Taglieri-Noble, Katherine
Clark, Emily C.
Paulson, Jordan
Krolewski, Richard C.
Ho, Gary P.
Hung, Albert Y.
Wills, Anne-Marie
Hayes, Michael T.
Macmore, Jason P.
Warren, Luigi
Bower, Pamela G.
Langer, Carol B.
Kellerman, Lawrence R.
Humphreys, Christopher W.
Glanz, Bonnie I.
Dielubanza, Elodi J.
Frosch, Matthew P.
Freeman, Roy L.
Gibbons, Christopher H.
Stefanova, Nadia
Chitnis, Tanuja
Weiner, Howard L.
Scherzer, Clemens R.
Scholz, Sonja W.
Vuzman, Dana
Cox, Laura M.
Wenning, Gregor
Schmahmann, Jeremy D.
Gupta, Anoopum S.
Novak, Peter
Young, Geoffrey S.
Feany, Mel B.
Singhal, Tarun
Khurana, Vikram
Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title_full Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title_fullStr Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title_full_unstemmed Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title_short Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping
title_sort clinical trial-ready patient cohorts for multiple system atrophy: coupling biospecimen and ipsc banking to longitudinal deep-phenotyping
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527378/
https://www.ncbi.nlm.nih.gov/pubmed/36190676
http://dx.doi.org/10.1007/s12311-022-01471-8
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