Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study.
Aged
Biomarkers
/ analysis
Brain
/ metabolism
Cross-Sectional Studies
Dopamine Plasma Membrane Transport Proteins
/ analysis
Female
Glucosylceramidase
/ genetics
Heterozygote
Humans
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
/ genetics
Male
Middle Aged
Mutation
Parkinson Disease
/ genetics
Prodromal Symptoms
Journal
The Lancet. Neurology
ISSN: 1474-4465
Titre abrégé: Lancet Neurol
Pays: England
ID NLM: 101139309
Informations de publication
Date de publication:
01 2020
01 2020
Historique:
received:
06
02
2019
revised:
15
07
2019
accepted:
23
07
2019
pubmed:
5
11
2019
medline:
10
7
2020
entrez:
4
11
2019
Statut:
ppublish
Résumé
The Parkinson's Progression Markers Initiative (PPMI) is an ongoing observational, longitudinal cohort study of participants with Parkinson's disease, healthy controls, and carriers of the most common Parkinson's disease-related genetic mutations, which aims to define biomarkers of Parkinson's disease diagnosis and progression. All participants are assessed annually with a battery of motor and non-motor scales, 123-I Ioflupane dopamine transporter (DAT) imaging, and biological variables. We aimed to examine whether non-manifesting carriers of LRRK2 and GBA mutations have prodromal features of Parkinson's disease that correlate with reduced DAT binding. This cross-sectional analysis is based on assessments done at enrolment in the subset of non-manifesting carriers of LRRK2 and GBA mutations enrolled into the PPMI study from 33 participating sites worldwide. The primary objective was to examine baseline clinical and DAT imaging characteristics in non-manifesting carriers with GBA and LRRK2 mutations compared with healthy controls. DAT deficit was defined as less than 65% of putamen striatal binding ratio expected for the individual's age. We used t tests, χ Between Jan 1, 2014, and Jan 1, 2019, the study enrolled 208 LRRK2 (93% G2019S) and 184 GBA (96% N370S) non-manifesting carriers. Both groups were similar with respect to mean age, and about 60% were female. Of the 286 (73%) non-manifesting carriers that had DAT imaging results, 18 (11%) LRRK2 and four (3%) GBA non-manifesting carriers had a DAT deficit. Compared with healthy controls, both LRRK2 and GBA non-manifesting carriers had significantly increased mean scores on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (total score 4·6 [SD 4·4] healthy controls vs 8·4 [7·3] LRRK2 vs 9·5 [9·2] GBA, p<0·0001 for both comparisons) and the Scale for Outcomes for PD - autonomic function (5·8 [3·7] vs 8·1 [5·9] and 8·4 [6·0], p<0·0001 for both comparisons). There was no difference in daytime sleepiness, anxiety, depression, impulsive-compulsive disorders, blood pressure, urate, and rapid eye movement (REM) behaviour disorder scores. Hyposmia was significantly more common only in LRRK2 non-manifesting carriers (69 [36%] of 194 healthy controls vs 114 [55%] of 208 LRRK2 non-manifesting carriers; p=0·0003). Finally, GBA but not LRRK2 non-manifesting carriers showed increased DAT striatal binding ratios compared with healthy controls in the caudate (healthy controls 2·98 [SD 0·63] vs GBA 3·26 [0·63]; p<0·0001), putamen (2·15 [0·56] vs 2·48 [0·52]; p<0·0001), and striatum (2·56 [0·57] vs 2·87 [0·55]; p<0·0001). Our data show evidence of subtle motor and non-motor signs of Parkinson's disease in non-manifesting carriers compared with healthy controls that can precede DAT deficit. Longitudinal data will be essential to confirm these findings and define the trajectory and predictors for development of Parkinson's disease. Michael J Fox Foundation for Parkinson's Research.
Sections du résumé
BACKGROUND
The Parkinson's Progression Markers Initiative (PPMI) is an ongoing observational, longitudinal cohort study of participants with Parkinson's disease, healthy controls, and carriers of the most common Parkinson's disease-related genetic mutations, which aims to define biomarkers of Parkinson's disease diagnosis and progression. All participants are assessed annually with a battery of motor and non-motor scales, 123-I Ioflupane dopamine transporter (DAT) imaging, and biological variables. We aimed to examine whether non-manifesting carriers of LRRK2 and GBA mutations have prodromal features of Parkinson's disease that correlate with reduced DAT binding.
METHODS
This cross-sectional analysis is based on assessments done at enrolment in the subset of non-manifesting carriers of LRRK2 and GBA mutations enrolled into the PPMI study from 33 participating sites worldwide. The primary objective was to examine baseline clinical and DAT imaging characteristics in non-manifesting carriers with GBA and LRRK2 mutations compared with healthy controls. DAT deficit was defined as less than 65% of putamen striatal binding ratio expected for the individual's age. We used t tests, χ
FINDINGS
Between Jan 1, 2014, and Jan 1, 2019, the study enrolled 208 LRRK2 (93% G2019S) and 184 GBA (96% N370S) non-manifesting carriers. Both groups were similar with respect to mean age, and about 60% were female. Of the 286 (73%) non-manifesting carriers that had DAT imaging results, 18 (11%) LRRK2 and four (3%) GBA non-manifesting carriers had a DAT deficit. Compared with healthy controls, both LRRK2 and GBA non-manifesting carriers had significantly increased mean scores on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (total score 4·6 [SD 4·4] healthy controls vs 8·4 [7·3] LRRK2 vs 9·5 [9·2] GBA, p<0·0001 for both comparisons) and the Scale for Outcomes for PD - autonomic function (5·8 [3·7] vs 8·1 [5·9] and 8·4 [6·0], p<0·0001 for both comparisons). There was no difference in daytime sleepiness, anxiety, depression, impulsive-compulsive disorders, blood pressure, urate, and rapid eye movement (REM) behaviour disorder scores. Hyposmia was significantly more common only in LRRK2 non-manifesting carriers (69 [36%] of 194 healthy controls vs 114 [55%] of 208 LRRK2 non-manifesting carriers; p=0·0003). Finally, GBA but not LRRK2 non-manifesting carriers showed increased DAT striatal binding ratios compared with healthy controls in the caudate (healthy controls 2·98 [SD 0·63] vs GBA 3·26 [0·63]; p<0·0001), putamen (2·15 [0·56] vs 2·48 [0·52]; p<0·0001), and striatum (2·56 [0·57] vs 2·87 [0·55]; p<0·0001).
INTERPRETATION
Our data show evidence of subtle motor and non-motor signs of Parkinson's disease in non-manifesting carriers compared with healthy controls that can precede DAT deficit. Longitudinal data will be essential to confirm these findings and define the trajectory and predictors for development of Parkinson's disease.
FUNDING
Michael J Fox Foundation for Parkinson's Research.
Identifiants
pubmed: 31678032
pii: S1474-4422(19)30319-9
doi: 10.1016/S1474-4422(19)30319-9
pmc: PMC6956652
mid: NIHMS1064610
pii:
doi:
Substances chimiques
Biomarkers
0
Dopamine Plasma Membrane Transport Proteins
0
LRRK2 protein, human
EC 2.7.11.1
Leucine-Rich Repeat Serine-Threonine Protein Kinase-2
EC 2.7.11.1
GBA protein, human
EC 3.2.1.45
Glucosylceramidase
EC 3.2.1.45
Banques de données
ClinicalTrials.gov
['NCT01141023']
Types de publication
Journal Article
Multicenter Study
Observational Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
71-80Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB015922
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG062418
Pays : United States
Investigateurs
Vanessa Arnedo
(V)
Adrienne Clark
(A)
Mark Fraiser
(M)
Catherine Kopil
(C)
Sohini Chowdhury
(S)
Todd Sherer
(T)
Nichole Daegele
(N)
Cynthia Casaceli
(C)
Ray Dorsey
(R)
Renee Wilson
(R)
Sugi Mahes
(S)
Christina Salerno
(C)
Karen Crawford
(K)
Paola Casalin
(P)
Giulia Malferrari
(G)
Mali Gani Weisz
(MG)
Avi Orr-Urtreger
(A)
Thomas Montine
(T)
Chris Baglieri
(C)
Amanda Christini
(A)
David Russell
(D)
Nabila Dahodwala
(N)
Nir Giladi
(N)
Stewart Factor
(S)
Penelope Hogarth
(P)
David Standaert
(D)
Robert Hauser
(R)
Joseph Jankovic
(J)
Marie Saint-Hilaire
(M)
Irene Richard
(I)
David Shprecher
(D)
Hubert Fernandez
(H)
Katrina Brockmann
(K)
Liana Rosenthal
(L)
Paolo Barone
(P)
Alberto Espay
(A)
Dominic Rowe
(D)
Karen Marder
(K)
Anthony Santiago
(A)
Shu-Ching Hu
(SC)
Stuart Isaacson
(S)
Jean-Christophe Corvol
(JC)
Javiar Ruiz Martinez
(J)
Eduardo Tolosa
(E)
Yen Tai
(Y)
Marios Politis
(M)
Debra Smejdir
(D)
Linda Rees
(L)
Karen Williams
(K)
Farah Kausar
(F)
Karen Williams
(K)
Whitney Richardson
(W)
Diana Willeke
(D)
Shawnees Peacock
(S)
Barbara Sommerfeld
(B)
Alison Freed
(A)
Katrina Wakeman
(K)
Courtney Blair
(C)
Stephanie Guthrie
(S)
Leigh Harrell
(L)
Christine Hunter
(C)
Cathi-Ann Thomas
(CA)
Raymond James
(R)
Grace Zimmerman
(G)
Victoria Brown
(V)
Jennifer Mule
(J)
Ella Hilt
(E)
Kori Ribb
(K)
Susan Ainscough
(S)
Misty Wethington
(M)
Madelaine Ranola
(M)
Helen Mejia Santana
(H)
Juliana Moreno
(J)
Deborah Raymond
(D)
Krista Speketer
(K)
Lisbeth Carvajal
(L)
Stephanie Carvalo
(S)
Ioana Croitoru
(I)
Alicia Garrido
(A)
Laura Marie Payne
(LM)
Veena Viswanth
(V)
Lawrence Severt
(L)
Maurizio Facheris
(M)
Holly Soares
(H)
Mark A Mintun
(MA)
Jesse Cedarbaum
(J)
Peggy Taylor
(P)
Kevin Biglan
(K)
Emily Vandenbroucke
(E)
Zulfiqar Haider Sheikh
(Z)
Baris Bingol
(B)
Tanya Fischer
(T)
Pablo Sardi
(P)
Remi Forrat
(R)
Alastair Reith
(A)
Jan Egebjerg
(J)
Gabrielle Ahlberg Hillert
(G)
Barbara Saba
(B)
Chris Min
(C)
Robert Umek
(R)
Joe Mather
(J)
Susan De Santi
(S)
Anke Post
(A)
Frank Boess
(F)
Kirsten Taylor
(K)
Igor Grachev
(I)
Andreja Avbersek
(A)
Pierandrea Muglia
(P)
Kaplana Merchant
(K)
Johannes Tauscher
(J)
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Références
Mov Disord. 2016 Mar;31(3):335-43
pubmed: 26686514
Brain Topogr. 2018 Nov;31(6):1029-1036
pubmed: 29846835
JAMA Neurol. 2015 Feb;72(2):201-8
pubmed: 25506732
Parkinsonism Relat Disord. 2015 Oct;21(10):1170-6
pubmed: 26306001
Neurology. 2017 Aug 1;89(5):439-444
pubmed: 28679601
Mov Disord. 2017 May;32(5):726-738
pubmed: 28370517
Parkinsonism Relat Disord. 2018 Dec;57:72-76
pubmed: 30119933
Lancet Neurol. 2017 May;16(5):351-359
pubmed: 28336296
Brain Struct Funct. 2017 Apr;222(3):1207-1218
pubmed: 27401793
Brain. 2017 May 1;140(5):1371-1383
pubmed: 28369257
Mov Disord. 2017 Dec;32(12):1780-1783
pubmed: 29094781
Neurology. 2014 Nov 4;83(19):1739-46
pubmed: 25298306
Brain. 2013 Aug;136(Pt 8):2419-31
pubmed: 23884810
JAMA Neurol. 2017 Aug 1;74(8):933-940
pubmed: 28595287
Mov Disord. 2018 Jul;33(6):966-973
pubmed: 29603409
Mol Genet Metab. 2014 Feb;111(2):152-62
pubmed: 24388731
Parkinsonism Relat Disord. 2015 Jul;21(7):778-82
pubmed: 25962553
Mol Genet Genomic Med. 2015 Sep;3(5):404-12
pubmed: 26436106
Mov Disord. 2015 Jun;30(7):981-6
pubmed: 25809001
PLoS One. 2017 Apr 13;12(4):e0175424
pubmed: 28406934
Prog Neurobiol. 2011 Dec;95(4):629-35
pubmed: 21930184
PLoS One. 2011 Mar 07;6(3):e17698
pubmed: 21408191
Parkinsonism Relat Disord. 2019 May;62:179-184
pubmed: 30573413
Mov Disord. 2018 Oct;33(10):1643-1646
pubmed: 30145841
Ann Clin Transl Neurol. 2018 Oct 31;5(12):1460-1477
pubmed: 30564614
Maturitas. 2010 Apr;65(4):352-8
pubmed: 20117891
PLoS One. 2018 Aug 20;13(8):e0201964
pubmed: 30125297
Ann Clin Transl Neurol. 2015 Sep;2(9):941-5
pubmed: 26401515
Sleep. 2017 Aug 1;40(8):
pubmed: 28472425
Parkinsonism Relat Disord. 2014 Jan;20 Suppl 1:S23-8
pubmed: 24262182