PREreview of "The Many Faces of Parkinsonism: Dissecting Clinical and Molecular Overlap in Multiple System Atrophy and Parkinson's Disease"

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Authors: Hardik Acharya, Piyush Peddi, Santhosh Diravidamani, Ahmed Malik
Cited by: 4

Abstract

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18554240. Summary -> This paper explored parkinsonism in more depth and talked about the vast differences it can share with MSA with evidence gathered from various research methods. This paper had both strong points and some that might need to be revised. PROS Abstract: Clear statements of purpose, tools utilized to measure data, and background knowledge of Multiple system atrophy vs Parkinson's Disorders Introduction: The authors clearly defined and explained subdivisions of Multiple System Atrophy (MSA) They clearly described the geographical prevalence of the parkinsonian and cerebellar variants of MSA (MSA-P and MSA-C), displaying how certain groups of individuals could be more predisposed to a variant of MSA Defining Parkinsonism in MSA: Clearly discussed the various symptoms and prognoses between MSA-P and Parkinson's Disease Emerging Clinical Trials Good incorporation of different clinical treatments of TSA, with emphasis on synuclein targeting Modeling MSA and PD Using iPSCs Showcased application of the iPSC model to their research to show differences between MSA and Parkinson's disease Divergent Therapeutic Strategies in MSA‐P, MSA‐C, and Parkinson's Disease Excellent attention to autonomic dysfunction and some medications (droxidopa, midodrine, and fludrocortisone) Makes the comparison simple by using specific drug classes (levodopa, MAO-B inhibitors, COMT inhibitors, DBS). Genomic Variability Explains the main PD genes (SNCA, LRRK2, PARK7, PINK1, and GBA1) in detail and mentions a genetic influence of about 15% Summary Clear clinical differences between MSA and Parkinsonism Connects clinical and imaging data with biomarker evidence Acknowledges limitations in findings Conclusion Ties back well to abstract in the sense of presenting differences between MSA and PD CONS Abstract: Specify on tailored therapeutic strategies -> is it a derivation of previous methods that have been utilized or something else entirely? Conclusion Lacks a Future Research Section Lacks Keywords list Emerging Clinical Trials Lack of elaboration on Lu AF82422 -> Same concept as TAK-341 and holds clinical significance, more recent Understanding the Pathogenesis of MSA and PD Further explain how serum neurofilament light chain and alpha synuclein seeding assays Genomic Variability Make the reference to Figure 1 more clear by using phrases like "As shown in Figure 1..." Divergent Therapeutic Strategies in MSA‐P, MSA‐C, and Parkinson's Disease At the beginning, briefly explain that the purpose of this part is to compare the treatment approaches used by MSA-P, MSA-C, and PD. Summary Lack of data to support biomarker elevation or levodopa responsiveness Competing interests The authors declare that they have no competing interests. Use of Artificial Intelligence (AI) The authors declare that they did not use generative AI to come up with new ideas for their review.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN