학술논문

Hoehn and Yahr Stage and Striatal Dat-SPECT Uptake Are Predictors of Parkinson’s Disease Motor Progression
Document Type
article
Author
Jackson, HollyAnzures-Cabrera, JudithTaylor, Kirsten IPagano, GennaroInvestigators, PASADENAGroup, Prasinezumab StudyAltendorf, ClaudiaAnandan, ChareynaAndrews, GiuliaAnsquer, SolèneArrouasse, RaphaeleAslam, SanaAzulay, Jean-PhilippeBaker, JeanetteMartinez, Ernest BalaguerBarbu, ShadiBardram, KaraBega, DannyMarco, Helena Bejr-KasemBenatru, IsabelleBenchetrit, EveBernhard, FelixBesharat, AmirBette, SagariBichon, AmelieBillnitzer, AndrewBlondeau, SophieBoraud, ThomasBorngräber, FreiderikeBoyd, JamesBrockmann, KathrinBrodsky, MatthewBrown, EthanBruecke, ChristofCalvas, FabienneCanelo, MonicaCarbone, FedericoCarroll, ClaireFernandez, Laura CasadoCassé-Perrot, CatherineCastrioto, AnnaCatala, HeleneChan, JustineCheriet, SamiaCiabarra, AnthonyClassen, JosephColeman, JulianaColeman, RobertCompta, YaroslauCorbillé, Anne-GaëlleCorvol, Jean-ChristopheCosgaya, MarianaDahodwala, NabilaDamier, PhilippeDavid, ElodieDavis, ThomasDean, MarissaDebilly, BerengereDeGiorgio, JanellDeik, AndresDelaby, LaureDelfini, Marie-HeleneDerkinderen, PascalDerost, Philippde Toledo, MariaDeuel, LisaDiaz-Hernandez, Ann MarieDietiker, CameronDimenshteyn, KarinaDotor, JulioDurif, FranckEbentheuer, JensEggert, Karla MariaMadueño, Sara EichauEickhoff, ClaudiaEllenbogen, AaronEllmerer, PhilippVazquez, Ines EsparragosaEusebio, AlexandreEwert, SiobhanFang, JohnFeigenbaum, DanielleFluchere, FrederiqueFoubert-Samier, AlexandraFournier, MarieFradet, AnneFraix, ValerieFrank, SamuelFries, FrancaGalitzky, MoniquePérez, Marisol GallardóMoreno, Jose Manuel GarcíaGasca, CarmenGasser, ThomasGibbons, JoyceGiordana, CarolineMartinez, Alicia GonzalezGoodman, IraGorospe, ArantzaGoubeaud, Marie
Source
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Psychology
Biomedical Imaging
Parkinson's Disease
Brain Disorders
Clinical Research
Aging
Neurosciences
Neurodegenerative
Clinical Trials and Supportive Activities
Neurological
PASADENA Investigators
Prasinezumab Study Group
Dat-SPECT imaging
MDS-UPDRS
PASADENA
PPMI
Parkinson’s disease
disease stage
progression predictors
ridge regression
Cognitive Sciences
Biological psychology
Language
Abstract
Currently, no treatments available for Parkinson's disease (PD) can slow PD progression. At the early stage of the disease, only a subset of individuals with PD progress quickly, while the majority have a slowly progressive form of the disease. In developing treatments that aim to slow PD progression, clinical trials aim to include individuals who are likely to progress faster, such that a treatment effect, if one exists, can be identified easier and earlier. The aim of the present study was to identify baseline predictors of clinical progression in early PD. We analyzed 12-month data acquired from the PASADENA trial Part 1 (NCT03100149, n = 76 participants who were allocated to the placebo arm and did not start symptomatic therapy) and the Parkinson's Progression Markers Initiative (PPMI) study (n = 139 demographically and clinically matched participants). By using ridge regression models including clinical characteristics, imaging, and non-imaging biomarkers, we found that Hoehn and Yahr stage and dopamine transporter single-photon emission computed tomography specific binding ratios (Dat-SPECT SBR) in putamen ipsilateral to the side of motor symptom onset predicted PD progression at the early stage of the disease. Further studies are needed to confirm the validity of these predictors to identify with high accuracy individuals with early PD with a faster progression phenotype.