| Literature DB >> 36190676 |
Alain Ndayisaba1,2, Ariana T Pitaro1, Andrew S Willett1, Kristie A Jones1, Claudio Melo de Gusmao1, Abby L Olsen1, Jisoo Kim3, Eero Rissanen1, Jared K Woods4, Sharan R Srinivasan1,5, Anna Nagy1, Amanda Nagy1, Merlyne Mesidor1, Steven Cicero1, Viharkumar Patel4, Derek H Oakley6, Idil Tuncali1, Katherine Taglieri-Noble1, Emily C Clark1, Jordan Paulson1, Richard C Krolewski1, Gary P Ho1, Albert Y Hung1,7, Anne-Marie Wills7, Michael T Hayes1, Jason P Macmore7, Luigi Warren8, Pamela G Bower9, Carol B Langer9, Lawrence R Kellerman9, Christopher W Humphreys10, Bonnie I Glanz1, Elodi J Dielubanza11, Matthew P Frosch6, Roy L Freeman12, Christopher H Gibbons12, Nadia Stefanova2, Tanuja Chitnis1, Howard L Weiner1, Clemens R Scherzer1, Sonja W Scholz13,14, Dana Vuzman15,16, Laura M Cox1, Gregor Wenning2, Jeremy D Schmahmann7, Peter Novak1, Geoffrey S Young3, Mel B Feany4, Tarun Singhal1, Vikram Khurana17.
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.Entities:
Keywords: Clinical trials; Induced pluripotent stem cells; Multiple system atrophy; N-of-1 clinical trials; Stratification
Year: 2022 PMID: 36190676 PMCID: PMC9527378 DOI: 10.1007/s12311-022-01471-8
Source DB: PubMed Journal: Cerebellum ISSN: 1473-4222 Impact factor: 3.648
Fig. 1Longitudinal trial design may improve feasibility and interpretability for complex diseases like MSA. A A conventional randomized therapeutic trial begins with a biologically and clinically heterogenous patient population, indicated by schematic persons of many colors (left). Each patient has possible/probable MSA, depending on inclusion criteria, and is assigned randomly into a treatment vs. placebo arm, monitored clinically for the treatment duration. Outcome measurements are compared at the trial conclusion between the two groups. Two levels of heterogeneity may impede these trials. First, MSA patients may be too biologically heterogeneous: a subtype of true responders may be missed, the signal buried in noise. Second, patients may also be too clinically heterogeneous: noisy clinical outcome measures may mean a patient population large enough to track is not feasible, especially for drugs with modest effect size. B In a complementary longitudinal paradigm, a thoroughly investigated patient population enters an observational phase in which deep clinical, biomarker and imaging phenotyping is carried out. In this paradigm, each patient is their own control: phenotypic progression in a “treatment” phase is compared to an antecedent “observational” phase. In a “cycling” paradigm, alternating treatment and placebo windows are employed to ascertain true target engagement and efficacy signals. In the figure, the magenta patients are examples of non-responders, and the red patients are responders
Fig. 5Histopathology of patient M1. A Immunohistochemistry of skin biopsies from M1 revealed the presence of a-synuclein phosphorylated at residue serine-129 (pS129; red) in autonomic nerve fibers positive for PGP9.5 (green). There was positive staining in patient P1 also (see Fig. 4). Abbreviations: pS129: phosphorylated a-synuclein at Serine 129, PGP9.5: protein gene product 9.5. B–F Postmortem neuropathological findings in patient M1. B–C Gross pathology shows striking cerebellar and pontine atrophy (white arrows). D Hematoxylin and eosin staining of the cerebellum reveals widespread loss of Purkinje cells (black arrow). E, F Immunohistochemistry for a-synuclein demonstrates the presence of glial cytoplasmic inclusions in cerebellar white matter (D) and pons (E) (black arrows). Scale bar 2 cm
Fig. 6Matching brain-to-iPSc set from patient M2 (MSAc). A Neuropathological findings in M2 include cerebellar atrophy (left, white arrow), loss of Purkinje neurons (middle, black arrowhead), and the presence of glial cytoplasmic inclusions (black arrows) in cerebellar white matter (middle) and pons (right), as well as neuronal inclusions in pons (right). B iPSCs generated from M2 stain for pluripotency markers TRA-1–60 and OCT4
Fig. 2Detailed workflow for patients with potential MSA from initial presentation with parkinsonism-ataxia spectrum disorder to clinical MSA trial in the multidisciplinary P + A + MSA clinic. Upper orange arrows: from 406 patients in our database, 127 patients had suspected (possible or probable by diagnostic criteria) MSA. In the last 2 years, 69 of these patients have been tracked clinically and, of these, 20 patients enrolled in an investigator-initiated clinical trial that began with an observational phase followed by a treatment phase. Lower: (left) our current diagnostic workup. (Right) Testing that occurs in observational and treatment phases of our proposed longitudinal clinical trial paradigm. Abbreviations: UMSARS: Unified MSA Rating Scale; BARS: Brief Ataxia Rating Scale; UPSIT: University of Pennsylvania Smell Identification Test; MoCA: Montreal Cognitive Assessment; 3D vol. MRI: 3D volumetric magnetic resonance imaging; FDG-PET: fluoro-deoxy glucose positron emission tomography; MIBG: meta-iodobenzylguanidine; SCA: spinocerebellar ataxia; SAA: seed amplification assay; a-syn CNVs: alpha-synuclein copy number variations; CSF: cerebrospinal fluid; iPSC: induced pluripotent stem cell; EM: electron microscopy; IHC: immunohistochemistry; TSPO: translocator protein
Rational and selective testing according to clinical presentation facilitates early differential diagnosis
| A | |||||
| Clinical presentation | |||||
| Parkinsonism + OH | Ataxia + UD | Ataxia—parkinsonism | Suspected familial ataxia-parkinsonism* | ||
| Selective investigations | MoCA | x | |||
| UPSIT | x | ||||
| FDG-PET | x | x | x | ||
| DaT SPECT | x | x | |||
| MIBG | x | ||||
| Skin: pa-syn | x | x | |||
| Skin: nerve fiber density | x | ||||
| QSART | x | ||||
| Polysomnography | x | x | x | ||
| Genetic testing | x | x | x | x | |
| Differential diagnosis | PD, DLB, MSA, SCA2/3 | MSA, SCA2/3, PSP | MSA, SCA2/3, PSP | MSA, SCA2/3, other genetic disorder* | |
| B | |||||
| % | % | ||||
| Active set** | 69 | 100 | Polysomnography | 12 | 17.39 |
| UMSARS | 69 | 100 | Genetic testing | 10 | 14.49 |
| 3D vol. MRI | 52 | 75.36 | UPSIT | 7 | 10.14 |
| FDG-PET | 23 | 33.33 | Skin Biopsy | 7 | 10.14 |
| Autonomic testing | 19 | 27.54 | DaT SPECT | 5 | 7.25 |
| MoCA | 14 | 20.29 | Lumbar puncture | 4 | 5.80 |
| Urodynamics | 12 | 17.39 | MIBG | 3 | 4.35 |
A. Four clinical phenotypes/scenarios: (i) in a patient presenting with parkinsonism and autonomic dysfunction, the presence of peripheral neuropathy on skin biopsy and an abnormal MIBG scan indicating peripheral sympathetic cardiac denervation [68] is more consistent with Lewy body disease than MSA [69, 70]. Autonomic function tests in conjunction with QSART help in localizing the autonomic pathology (see “Methods”; [71]). Additionally, anosmia is more likely in a PD patient than in MSA or PSP [72] and is detected via UPSIT assessment. REM sleep behavior disorder on polysomnography in such a patient indicates a synucleinopathy is most likely [73]. Cognitive dysfunction, particularly in the visuospatial and recall domains, would be more suggestive of Lewy body disease than MSA [74]. (ii) In a patient with ataxia and urinary dysfunction, an FDG-PET and DaT scan indicating striatonigral degeneration, in conjunction with a skin biopsy for immunohistochemical detection of alpha-synuclein, can reliably pinpoint the diagnosis as a synucleinopathy [75, 76]. (iii) Similarly, in a patient with ataxia but without parkinsonism, a positive DaT scan and FDG-PET demonstrating striatal dysfunction would increase suspicion for MSA. (iv) In a patient with ataxia or parkinsonism, either with early onset (< 50yo) or with one or more first-order relatives with neurodegenerative diagnosis, genetic testing is performed to rule out common mimics, particularly SCA2, SCA3, and synuclein copy-number variants [77]. With negative testing, we proceed to repeat-expansion disorder profiling, whole-exome, and whole-genome sequencing, initially through clinical vendors and eventually to research (Harvard Medical School and Brigham and Women’s Hospital Clinical Genome Analysis Platform; CGAP)
B. Numbers of tests performed in our active patient cohort
Abbreviations: OH, orthostatic hypotenstion; UD, urinary dysfunction; MoCA, Montreal Cognitive Assessment; UPSIT, University of Pennsylvania Smell Identification Test; FDG-PET, fluoro-deoxy glucose positron emission tomography; DaT SPECT, dopamine transporter single-photon emission computed tomography; MIBG, meta-iodobenzylguanidine; pα-syn, phosphorylated a-synuclein; QSART, quantitative sudomotor axon reflex test; PD, Parkinson’s disease; DLB, dementia with Lewy bodies; MSA, multiple system atrophy; SCA, spinocerebellar ataxia; PSP, progressive supranuclear palsy; UMSARS, Unified MSA Rating Scale
*More recently, several cases of multiplex families of unknown genetic cause have been described, where post-mortem analysis confirmed diagnosis of MSA in some family members; therefore, genetic testing is included here in the context of MSA upon exclusion of common MSA mimics (Multiple-System Atrophy Research Collaboration NEJM 2013) [78]
**Last visit 2019 or later
Fig. 3[F18]PBR06-TSPO-PET for Translocator Protein as a surrogate for CNS neuroinflammation. A Markedly increased radiotracer accumulation in basis points (yellow arrows) and cerebellar white matter (red arrows) in an MSA-C patient (top row). B A healthy control comparison
Fig. 4A multiplex family involving cases with MSA, Parkinson’s disease, and dementia. A A three-generation pedigree elicited in a genetics evaluation for the proband M1 (arrow) with suspected MSAc. M1’s sister was diagnosed with PD (P1) and also followed in our clinic. There were six additional relatives with PD and/or dementia. B Summary table of the clinical evaluation and additional tests for patients M1 and P1. Abbreviations: UMSARS: Unified MSA Rating Scale; BARS: Brief Ataxia Rating Scale; UPDRS: Unified Parkinson’s disease Rating Scale; UPSIT: University of Pennsylvania Smell Identification Test; 3D vol. MRI: 3D volumetric magnetic resonance imaging; PBRO6-TSPO-PET: translocator protein positron emission tomography; pα-syn: phosphorylated alpha-synuclein; α-syn CNVs: alpha-synuclein copy number variations. C 3D volumetric MRI reveals striatal, pontine, and cerebellar atrophy in M1 compared to P1. Segmentation utilized FreeSurfer software. Key structures from left to right; A: amygdala, Cc: cerebral cortex, P: putamen, Gp: globus pallidus, T: thalamus, WM: cerebral white matter, C: caudate, H: hippocampus, M: midbrain, Po: pons, Me: medulla, Cb-wm: cerebellar white matter, Cb-c: cerebellar cortex, 3: 3rd ventricle, 4: 4th ventricle, L: lateral ventricle
Post-mortem brain collection and hFib/iPSC lines from MSA and related disorders in the P + A + MSA brain bank
| Post-mortem brain | hFib/iPSCs (matched with p.m. brain) | |||
|---|---|---|---|---|
| MSA | MSAc | 13 | MSAc 15 | (11) |
| MSAp | 5 | MSAp 5 | (4) | |
| MSAc/p. | 3 | MSAc/p | 2 (0) | |
| PD | Sporadic | 0 | Sporadic 1 | (0) |
| SNCA-A53T | 1 | SNCA-A53T 1 | (0) | |
| SNCA duplication | 1 | SNCA duplication | 2 (1) | |
| SNCA triplication | 2 (0) | |||
| DLB | Sporadic | 5 | Sporadic | 2 (1) |
| GBA | 2 | GBA | 0 (0) | |
| SCA | SCA-3 | 2 | SCA-2 | 2 (0) |
| SCA-7 | 1 | SCA-3 | 2 (2) | |
| SCA-8 | 1 | SCA-7 | 1 (1) | |
| SCA-8 | 1 (0) | |||
| PSP | PSP | 1 | PSP | 1 (1) |
| PSP-FTD | 1 | PSP-FTD | 0 (0) | |
| PSPc | 1 | PSPc | 1 (1) | |
Abbreviations: hFib, human fibroblasts; iPSCs, induced pluripotent stem cells; MSAc, cerebellar variant multiple system atrophy; MSAp, Parkinson-variant multiple system atrophy; P + A + MSA, Parkinson’s plus, ataxia, and multiple system atrophy clinic; PD, Parkinson’s disease; SNCA, a-synuclein gene; DLB, dementia with Lewy bodies; GBA, glucocerebrosidase gene; SCA, spinocerebellar ataxia; PSP, progressive supranuclear palsy; FTD, frontotemporal dementia; PSPc, cerebellar variant-PSP