4.6 Article

Discrimination of MSA-P and MSA-C by RT-QuIC analysis of olfactory mucosa: the first assessment of assay reproducibility between two specialized laboratories

Journal

MOLECULAR NEURODEGENERATION
Volume 16, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13024-021-00491-y

Keywords

Alpha-synuclein; Olfactory mucosa; Real-Time Quaking-Induced Conversion; Misfolding; Biomarkers

Categories

Funding

  1. Italian Ministry of Health [GR-201302355724]
  2. Michael J. Fox Foundation
  3. Alzheimer's Association
  4. Alzheimer's Research UK
  5. Weston brain Institute [BAND 11035]
  6. Associazione Italiana Encefalopatie da Prioni (AIEnP)
  7. American Parkinson Disease Association
  8. US National Institutes of Health (NIH)/National Institute on Aging [R01AG061388]
  9. NIH/National Institute of Neurological Disorders and Stroke [U01NS112010, R01NS118760]

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The study demonstrates that OM-alpha Syn(D) could serve as a novel biomarker for the accurate clinical diagnoses of PD, MSA-P, and MSA-C. Additionally, alpha Syn_RT-QuIC is a reliable assay that can distinguish between MSA-P and MSA-C patients, potentially leading to advancements in patient stratification for emerging pharmacological treatments and clinical trials.
Background Detection of the pathological and disease-associated alpha-synuclein (alpha Syn(D)) in the brain is required to formulate the definitive diagnosis of multiple system atrophy (MSA) and Parkinson's disease (PD). We recently showed that alpha Syn(D) can be detected in the olfactory mucosa (OM) of MSA and PD patients. For this reason, we have performed the first interlaboratory study based on alpha-synuclein Real-Time Quaking-Induced Conversion (alpha Syn_RT-QuIC) analysis of OM samples collected from PD and MSA patients with the parkinsonian (MSA-P) and cerebellar (MSA-C) phenotypes. Methods OM samples were prospectively collected from patients with a probable diagnosis of MSA-P (n = 20, mean disease duration 4.4 years), MSA-C (n = 10, mean disease duration 4 years), PD (n = 13, mean disease duration 8 years), and healthy control subjects (HS) (n = 11). Each sample was analyzed by alpha Syn_RT-QuIC in two independent specialized laboratories, one located in Italy (ITA-lab) and one located in the USA (USA-lab). Both laboratories have developed and used harmonized alpha Syn_RT-QuIC analytical procedures. Results were correlated with demographic and clinical data. Results The alpha Syn_RT-QuIC analysis reached a 96% interrater agreement of results (IAR) between laboratories (Kappa = 0.93, 95% CI 0.83-1.00). In particular, alpha Syn_RT-QuIC seeding activity was found in the OM of 9/13 patients with PD (sensitivity 69%, IAR 100%) and 18/20 patients with MSA-P (sensitivity 90%, IAR 100%). Interestingly, samples collected from patients with MSA-C did not induce alpha Syn_RT-QuIC seeding activity, except for one subject in USA-lab. Therefore, we found that MSA-P and MSA-C induced opposite effects. Regardless of disease diagnosis, the alpha Syn_RT-QuIC seeding activity correlated with some clinical parameters, including the rigidity and postural instability. Conclusions Our study provides evidence that OM-alpha Syn(D) may serve as a novel biomarker for accurate clinical diagnoses of PD, MSA-P, and MSA-C. Moreover, alpha Syn_RT-QuIC represents a reliable assay that can distinguish patients with MSA-P from those with MSA-C, and may lead to significant advancements in patients stratification and selection for emerging pharmacological treatments and clinical trials.

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