ArticleCerebellum (London, England)2024
Clinical Trial-Ready Patient Cohorts for Multiple System Atrophy: Coupling Biospecimen and iPSC Banking to Longitudinal Deep-Phenotyping.
Article in Cerebellum (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06868628 (A Phase 2a Study to Evaluate Microglial Activation, Safety, and Clinical Effects of Foralumab Nasal in Patients With Multiple System Atrophy), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Phase 2a Study to Evaluate Microglial Activation, Safety, and Clinical Effects of Foralumab Nasal in Patients With Multiple System Atrophy (MSA)
Who cites it
5 citing papers in PubMed.
- Implementation of a novel strategy to increase participation of Black and Hispanic people in parkinsonism research.Journal of Parkinson's disease · 2026Article
- Cytotoxic T cell recognition of α-synuclein drives pathogenic immune responses in multiple system atrophy.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The MSA Atrophy Index (MSA-AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy.Annals of clinical and translational neurology · 2025Article
- Exosomes in Regulating miRNAs for Biomarkers of Neurodegenerative Disorders.Molecular neurobiology · 2025Review
- Neuro-Urology and Biobanking: An Integrated Approach for Advancing Research and Improving Patient Care.International journal of molecular sciences · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
51 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.