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Using 31-phosphorus magnetic resonance spectroscopy (31P-MRS) to identify Parkinson’s Disease subgroups with bioenergetic dysfunction

Authors :
Thomas Payne
Toby Burgess
Matilde Sassani
Stephen Bradley
Sarah Roscoe
Emily Reed
Iain D Wilkinson
Heather Mortiboys
Thomas M Jenkins
Oliver Bandmann
Source :
Journal of Neurology, Neurosurgery & Psychiatry. 93:e2.2
Publication Year :
2022
Publisher :
BMJ, 2022.

Abstract

BackgroundSporadic Parkinson’s disease (sPD) is an aetiologically heterogeneous disorder. Identification of distinct pathogenic mechanisms causing sPD will be crucial to develop future “Precision Medicine” approaches. 31P-MRS is a non-invasive tool that can quantify key bionenergetic metabolites in individual patients.ObjectiveTo determine whether 31P-MRS can identify mitochondrial dysfunction in the midbrain/sub- stantia nigra of individual PD patients and correlates with trial-relevant clinical aspects of PD.Methods31P-MRS spectra were obtained from 35 sPD patients and 25 healthy, age-matched controls. Spectra were analysed using the jMRUI software package and AMARES spectral fitting algorithm. Clinical assessment included widely utilised clinical rating scales, genetic analysis and the calculation of predicted risk of rapid disease progression.ResultsThere was a significantly broader variance in 31P-MRS midbrain ATP with 1/3 of all PD patients having ATP levels > 2 standard deviations outside the mean control values (p=0.0030). Higher midbrain phosphocreatine was associated with greater risk of rapid disease progression (p= 0.0384).Conclusions31P-MRS may help to identify a subgroup of sPD with significant mitochondrial dysfunction or at higher risk of more rapid progression and facilitate stratification for future precision medicine neu- roprotective trials. Longitudinal studies are required to characterise if changes 31P-MRS measures mirror clinical progression.

Details

ISSN :
1468330X and 00223050
Volume :
93
Database :
OpenAIRE
Journal :
Journal of Neurology, Neurosurgery & Psychiatry
Accession number :
edsair.doi...........28904e669176b11f2070c22b2b83ca31
Full Text :
https://doi.org/10.1136/jnnp-2022-abn2.10