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

Authors :
Ndayisaba A
Pitaro AT
Willett AS
Jones KA
de Gusmao CM
Olsen AL
Kim J
Rissanen E
Woods JK
Srinivasan SR
Nagy A
Nagy A
Mesidor M
Cicero S
Patel V
Oakley DH
Tuncali I
Taglieri-Noble K
Clark EC
Paulson J
Krolewski RC
Ho GP
Hung AY
Wills AM
Hayes MT
Macmore JP
Warren L
Bower PG
Langer CB
Kellerman LR
Humphreys CW
Glanz BI
Dielubanza EJ
Frosch MP
Freeman RL
Gibbons CH
Stefanova N
Chitnis T
Weiner HL
Scherzer CR
Scholz SW
Vuzman D
Cox LM
Wenning G
Schmahmann JD
Gupta AS
Novak P
Young GS
Feany MB
Singhal T
Khurana V
Source :
Cerebellum (London, England) [Cerebellum] 2024 Feb; Vol. 23 (1), pp. 31-51. Date of Electronic Publication: 2022 Oct 03.
Publication Year :
2024

Abstract

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.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
1473-4230
Volume :
23
Issue :
1
Database :
MEDLINE
Journal :
Cerebellum (London, England)
Publication Type :
Academic Journal
Accession number :
36190676
Full Text :
https://doi.org/10.1007/s12311-022-01471-8