Literature DB >> 28336296

Serotonin and dopamine transporter PET changes in the premotor phase of LRRK2 parkinsonism: cross-sectional studies.

Daryl J Wile1, Pankaj A Agarwal2, Michael Schulzer3, Edwin Mak4, Katherine Dinelle5, Elham Shahinfard5, Nasim Vafai5, Kazuko Hasegawa6, Jing Zhang7, Jessamyn McKenzie4, Nicole Neilson4, Audrey Strongosky8, Ryan J Uitti8, Mark Guttman9, Cyrus P Zabetian7, Yu-Shin Ding10, Mike Adam11, Jan Aasly12, Zbigniew K Wszolek8, Matthew Farrer13, Vesna Sossi5, A Jon Stoessl14.   

Abstract

BACKGROUND: People with Parkinson's disease can show premotor neurochemical changes in the dopaminergic and non-dopaminergic systems. Using PET, we assessed whether dopaminergic and serotonin transporter changes are similar in LRRK2 mutation carriers with Parkinson's disease and individuals with sporadic Parkinson's disease, and whether LRRK2 mutation carriers without motor symptoms show PET changes.
METHODS: We did two cross-sectional PET studies at the Pacific Parkinson's Research Centre in Vancouver, BC, Canada. We included LRRK2 mutation carriers with or without manifest Parkinson's disease, people with sporadic Parkinson's disease, and age-matched healthy controls, all aged 18 years or older. People with Parkinson's disease were diagnosed by a neurologist with movement disorder training, in accordance with the UK Parkinson's Disease Society Brain Bank criteria. LRRK2 carrier status was confirmed by bidirectional Sanger sequencing. In the first study, LRRK2 mutation carriers with or without manifest Parkinson's disease who were referred for investigation between July, 1999, and January, 2012, were scanned with PET tracers for the membrane dopamine transporter, and dopamine synthesis and storage (18F-6-fluoro-L-dopa; 18F-FDOPA). We compared findings with those in people with sporadic Parkinson's disease and age-matched healthy controls. In the second study, distinct groups of LRRK2 mutation carriers, individuals with sporadic Parkinson's disease, and age-matched healthy controls seen from November, 2012, to May, 2016, were studied with tracers for the serotonin transporter and vesicular monoamine transporter 2 (VMAT2). Striatal dopamine transporter binding, VMAT2 binding, 18F-FDOPA uptake, and serotonin transporter binding in multiple brain regions were compared by ANCOVA, adjusted for age.
FINDINGS: Between January, 1997, and January, 2012, we obtained data for our first study from 40 LRRK2 mutation carriers, 63 individuals with sporadic Parkinson's disease, and 35 healthy controls. We identified significant group differences in striatal dopamine transporter binding (all age ranges in caudate and putamen, p<0·0001) and 18F-FDOPA uptake (in caudate: age ≤50 years, p=0·0002; all other age ranges, p<0·0001; in putamen: all age ranges, p<0·0001). LRRK2 mutation carriers with manifest Parkinson's disease (n=15) had reduced striatal dopamine transporter binding and 18F-FDOPA uptake, comparable with amounts seen in individuals with sporadic Parkinson's disease of similar duration. LRRK2 mutation carriers without manifest Parkinson's disease (n=25) had greater 18F-FDOPA uptake and dopamine transporter binding than did individuals with sporadic Parkinson's disease, with 18F-FDOPA uptake comparable with controls and dopamine transporter binding lower than in controls. Between November, 2012, and May, 2016, we obtained data for our second study from 16 LRRK2 mutation carriers, 13 individuals with sporadic Parkinson's disease, and nine healthy controls. Nine LRRK2 mutation carriers without manifest Parkinson's disease had significantly elevated serotonin transporter binding in the hypothalamus (compared with controls, individuals with LRRK2 Parkinson's disease, and people with sporadic Parkinson's disease, p<0·0001), striatum (compared with people with sporadic Parkinson's disease, p=0·02), and brainstem (compared with LRRK2 mutation carriers with manifest Parkinson's disease, p=0·01), after adjustment for age. Serotonin transporter binding in the cortex did not differ significantly between groups after age adjustment. Striatal VMAT2 binding was reduced in all individuals with manifest Parkinson's disease and reduced asymmetrically in one LRRK2 mutation carrier without manifest disease.
INTERPRETATION: Dopaminergic and serotonergic changes progress in a similar fashion in LRRK2 mutation carriers with manifest Parkinson's disease and individuals with sporadic Parkinson's disease, but LRRK2 mutation carriers without manifest Parkinson's disease show increased serotonin transporter binding in the striatum, brainstem, and hypothalamus, possibly reflecting compensatory changes in serotonergic innervation preceding the motor onset of Parkinson's disease. Increased serotonergic innervation might contribute to clinical differences in LRRK2 Parkinson's disease, including the emergence of non-motor symptoms and, potentially, differences in the long-term response to levodopa. FUNDING: Canada Research Chairs, Michael J Fox Foundation, National Institutes of Health, Pacific Alzheimer Research Foundation, Pacific Parkinson's Research Institute, National Research Council of Canada.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28336296      PMCID: PMC5477770          DOI: 10.1016/S1474-4422(17)30056-X

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


INTRODUCTION

Degeneration of dopaminergic neurons in the substantia nigra is already advanced by the time motor symptoms of Parkinson disease (PD) emerge. Non-motor symptoms (including impaired olfaction, autonomic function, sleep, mood, and cognition) often precede motor onset, sometimes by several years,[1] and may relate to non-dopaminergic neurodegeneration.[2-3] Unaffected carriers of pathogenic mutations known to increase the risk of PD, most commonly in leucine-rich repeat kinase 2 (LRRK2), exhibit dopaminergic deficits similar in distribution to sporadic PD (sPD).[4-6] LRRK2 PD also shares non-motor features with sPD, including hyposmia,[7,8] constipation, impaired colour discrimination,[9] depression, and sleep disturbance. Asymptomatic carriers may therefore demonstrate early non-dopaminergic neurochemical changes underlying these symptoms. Diffuse reductions of [11C]-3-Amino-4-(2-dimethylaminomethylphenylsulfaryl)-benzonitrile (DASB; a PET tracer with affinity for the serotonin transporter [SERT]) binding have previously been reported in sporadic PD of varying stages between 3 and 15 years since motor onset.[10-12] However, in very early PD (mean 2.1 months) DASB binding was preserved and in striatum was inversely correlated to DAT binding,[13] suggesting the possibility of a compensatory change in the SERT occurring early in PD. We compared patients with LRRK2 mutations (with or without manifest PD) to those from an earlier study on sPD[14] and age-matched healthy controls. Having established that the dopaminergic deficit in LRRK2 PD evolves in a fashion similar to sPD, we used the DASB tracer to assess changes in the SERT in asymptomatic LRRK2 carriers, LRRK2 PD, sPD, and healthy controls.

METHODS

Study design and participants

Two cross-sectional PET studies were conducted in Vancouver, Canada at a subspecialty clinic and research centre. Subjects were identified locally or referred by subspecialty clinics elsewhere in Canada, the United States, Norway and Japan. This study was approved by the Clinical Research Ethics Board of the University of British Columbia. For study 1, we recruited adults (age 18 or older) carrying a known pathogenic LRRK2 mutation confirmed by bi-directional Sanger sequencing who had undergone PET with 11C-d-threo-methylphenidate (MP, a marker of the membrane dopamine transporter, DAT) and 18F-6-fluoro-L-dopa (FDOPA, a measure of dopamine synthesis and storage) from July 1999 to January 2012. These subjects were compared with adult subjects with sPD from a previous study at our centre[14], and healthy controls studied at our centre. Healthy controls had no personal or family history of neurological or psychiatric illness. For study 2 we assessed new groups of adult subjects with sPD or a documented LRRK2 mutation from November 2012 to May 2016 using PET with DTBZ and DASB. Those subjects exposed to selective serotonin reuptake inhibitors or serotonin-norepinephrine reuptake inhibitors were excluded. All subjects provided written informed consent.

Procedures

All subjects underwent a neurological examination by a neurologist with subspecialty movement disorders training for determination of the Unified Parkinson’s Disease Rating Scale part III (UPDRS-III) and the diagnosis of PD according to UK Brain Bank criteria. Those in study 2 were also assessed with the Montreal Cognitive Assessment (MoCA) and Beck Depression Inventory (BDI) instruments. Prior to imaging, all anti-parkinsonian medications were withheld for at least 12 hours (18 hours for controlled release levodopa and dopamine agonists). In study 1, PET scans were performed consecutively in a single day for most cases (MP prior to FDOPA), at least 2·5 hours apart to allow for the decay of radioactivity associated with the previous [11C] tracer. These scans were performed in three-dimensional mode with either the ECAT953B/31 tomograph (CTI Systems/Siemens, Knoxville, TN), or the General Electric (GE) Advance tomograph (General Electric Medical Systems, Milwaukee, WI). Tracer was injected intravenously in 10 mL of saline over 60 seconds using a Harvard infusion pump (Harvard Apparatus, Holliston, MA; MP, 185MBq; FDOPA, 185–260 MBq). One hour prior to the FDOPA scan subjects received 200 mg of carbidopa orally. MP emission data were collected over 60 minutes into a series of sequential frames (4×1-min, 3× 2-min, 8×5-min, 1×10-min). FDOPA emission data were collected over 90 minutes into a series of sequential frames (ECAT: 9×10-min, Advance: 4×1-min, 3×2-min, 16×5-min). Phantom- and human imaging-based scanner cross-calibrations were performed on the two scanners and the image reconstruction filter on the GE Advance tomograph was adjusted to match the spatial resolution of the two scanners, with further adjustment for discrepancy in their radial uniformity profiles. The difference between values obtained on the two scanners in age-matched healthy control subjects is ≤5%. In study 2, scanning took place over a 1–3 day period, with DASB followed by DTBZ and a brain MRI used to aid region of interest placement. Patients were positioned using external lasers aligning the gantry with the inferior orbital-external meatal line, and custom fitted thermoplastic masks were applied to minimize head movement and positioning changes. Radiotracer was administered by intravenous injection over 60 seconds with [11C](+)DTBZ (185 MBq). Data were acquired over 60 min on the GE Advance scanner, which has an effective in-plane resolution of 6·5 mm2 and axial resolution of 6 mm, except for those patients with sPD studied using the Siemens high resolution research tomograph, (HRRT; Knoxville, TN) which has a spatial resolution of 2·3 mm3. Separate groups of healthy controls were studied with DTBZ on the GE Advance and HRRT scanners. The 80-min long [11C]DASB (555 MBq) scans were performed on the HRRT for all subjects. Transmission scans were performed over 10 minutes with 68Ge (Advance) or 137Cs (HRRT) to correct for photon attenuation. For study 1, striatal regions of interest (ROIs) were defined on an averaged image derived from 4 consecutive image slices (ECAT – slice thickness 3·38 mm), or 3 consecutive image slices (Advance – slice thickness 4·25 mm). Four elliptical ROIs were drawn on the striatal image; one on the caudate, and three covering the full length of the putamen. The same set of image slices was used to define the occipital cortex reference region for the MP and FDOPA scans. Time activity curves (TACs) were extracted for each ROI. The Logan graphical method[15] was used to calculate the tissue-input binding potential (BPND) for the MP data. Patlak analysis[16] was used to calculate the tissue-input uptake rate constant (Kocc) from the FDOPA data. Age corrected control values for each subject were calculated from healthy control subjects[17]. Scan analysis was conducted by a single individual masked to clinical details and genetic status. Left and right mean putaminal Kocc and BPND values were obtained by averaging the three ROIs placed on each putamen. Mean caudate and putaminal values (Kocc or BPND) were obtained by averaging the corresponding left and right values. DTBZ and DASB binding potentials (BPND) in study 2 were determined using a Logan analysis with occipital cortex reference region (DTBZ) or simplified reference tissue model with cerebellum as the reference region (DASB). BPND was compared with age-matched control values for each tracer. A region of interest template was developed in Montreal Neurological Space (MNI space) using MRI and DASB PET data from healthy controls. Anatomical brain MRI images for each subject were then transformed to the MNI space using Statistical Parametric Mapping (SPM; Wellcome Trust Centre for Neuroimaging, University College London, UK), and the ROI template was inverse transformed from each subject’s MRI scan and applied to their PET data for analysis. DASB binding potentials were then calculated for ROIs in cortex (including anterior cingulate, amygdala, dorsolateral prefrontal cortex and insula), striatum (caudate, putamen and ventral striatum), hypothalamus and brainstem (three ROIs in midbrain, pons and medulla along the median raphe, based on maximal DASB binding in healthy controls; appendix).

Statistical analysis

Statistical analysis was performed using SAS (version 8). A normal distribution was assumed for the PET data based on previously published studies[14,17], examination of normal probability plots and the Shapiro-Wilk test. Missing data were considered to be missing at random. For study 1, analyses of variance were performed comparing healthy controls, unaffected LRRK2 mutation carriers, symptomatic LRRK2 mutation carriers, and sPD, and Bonferroni correction for multiple comparisons was employed. As both age and disease duration can affect dopaminergic function and we are unable to accurately determine disease duration in premanifesting mutation carriers, separate ANOVAs were performed in four age categories to facilitate comparison of LRRK2 PD: ≤50, 51–60, 61–70 and >70. Due to the effect of age on MP binding and on the likelihood of asymptomatic mutation carriers converting to symptomatic disease, ANOVA was performed at each age group, but only for cell size > 3. The regression of PET data from clinically affected LRRK2 PD patients on disease duration was compared with sPD for each ligand and region as determined in previously published data.[18] We examined LRRK2 groups without distinguishing different mutation subgroups due to limited sample size. For study 2, analyses of covariance compared DASB binding in the striatum, brainstem, hypothalamus and cortex between healthy controls, unaffected LRRK2 mutation carriers, symptomatic LRRK2 carriers and a new set of sPD patients. ANCOVA was performed using age as a covariate; as in study 1, the age of onset was not estimable for unaffected carriers but was similar in symptomatic patients (LRRK2 PD mean 58, sd 12, range 45–76 years; sPD mean 53, sd 10, range 35–68 years. A Holm’s step-down procedure with Duncan’s multiple range test was used to adjust for multiple comparisons. As sPD patients were studied with the HRRT and all LRRK2 mutation carriers with the Advance scanner, the DTBZ data were compared with age matched healthy controls studied with the same scanner, rather than between groups (using t tests). Demographic and clinical information was collected, including age, sex, date of PET, year of symptom onset and diagnosis (for symptomatic patients), and family history of PD.

Role of the funding source

The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

RESULTS

40 LRRK2 mutation carriers were studied between July 1999 and January 2012 (Study 1). Nine subjects were studied with the ECAT and 31 with the GE Advance. Only the most recent scans were analysed for nine carriers studied multiple times. One subject was unable to complete FDOPA scanning, and two did not receive MP. 5 subjects (1 affected) were from a Norwegian family with an N1437H mutation,[19] 4 subjects (2 affected) from a German – Canadian family with a Y1699C mutation, 5 subjects (2 affected) from 2 Japanese families with an I2020T mutation, 10 subjects (3 affected) with a single G2019S mutation and 5 others (2 affected) from a North American kindred with homozygous G2019S mutation, and 11 individuals (5 affected) from a Western Nebraska family with an R1441C mutation. PET findings in many of these subjects have been reported previously.[4,5,6,17,19] 35 healthy controls studied from February 1997 to July 2008 (19 women; mean age 55, SD 15, range 27–77 years) and 63 individuals with sporadic PD studied between January 1997 and June 2006 (17 women; mean age 63, SD 11, range 35–81 years) were included in study 1.[7] Study 2 included 13 people with a diagnosis of sporadic PD studied from November 2012 to May 2016 (6 women; mean age 58, sd 9, range 40–72 years), and 16 with a documented LRRK2 mutation studied from August 2013 to June 2015 (7 with PD: 4 women, mean age 66, SD 15, range 48–86 years; 9 non-manifesting: 5 women, mean age 49, SD 11, range 27–61 years). UPDRS-III data were available for 21 of 25 unaffected carriers in study 1 (mean score 6·2; SD 7·9; table 1). Two of 21 individuals had high UPDRS-III scores deemed not indicative of parkinsonism: one person with a history of poliomyelitis had a score of 32 and another had a score of 23; according to the subjects’ neurologists neither examination was consistent with PD. With these scores excluded only subtle signs were noted (among the remaining 19 unaffected carriers, mean score 3·9, sd 3·3). Scores were measured in 8 of 9 unaffected carriers from study 2. No unaffected carriers had findings consistent with PD and there were only subtle signs on the UPDRS-III exam (mean score 2·3, SD 2·2).
Table 1

Clinical Characteristics of Subjects

GroupNAge (mean, (sd); range)Age of onset (mean, (sd); range)MutationsUPDRS III score (mean, sd)UPDRS IV score (mean, sd)BDI (mean, sd)MoCA (mean, sd)
FDOPA, MP (Study 1)
LRRK2-U25 (13 female)50 (14); 25–77-Y1699C (2), R1441C (6), G2019S (10; 3 homozygous), N1437H (4), I2020T (3)6.2 (7·9)*---
LRRK2- PD15 (9 female)65 (11); 44–8058 (11); 42–77Y1699C (2), R1441C (5), G2019S (5; 2 homozygous), N1437H (1), I2020T (2)31·4 (16·5)---
Sporadic PD63 (17 female)63 (11); 35–8157 (9); 35–73-33·3 (0·5)---
DASB, DTBZ (Study 2)
LRRK2-U9 (5 female)49 (11); 27–61-G2019S (9)2.3 (2·2) **-4.0(2·3)#28.5 (1·3)##
LRRK2- PD7 (4 female)66 (15); 48–8658 (12); 45–76R1441C (1), G2019S (6)22·1 (10·5)4·0 (3·6)###9 (6·8)26·7 (2·1)
Sporadic PD13 (6 female)58 (9); 40–7253 (10); 35–68-16·8 (9·5)1·7 (1·7)4·9 (3·5)28·1 (1·6)

LRRK2-U= unaffected mutation carrier; LRRK2-PD= affected mutation carrier UPDRS= Unified Parkinson’s Disease Rating Scale; BDI= Beck Depression Inventory; MoCA= Montreal

Cognitive Assessment

UPDRS III data from 21 of 25 unaffected LRRK2 carriers and from **8 of 9 unaffected LRRK2 carriers

BDI data from 5 of 9 unaffected LRRK2 carriers; 2 additional carriers had Geriatric Depression Scores of 0, one had a Hamilton Depression Rating Scale score of 6.

MoCA data from 4 of 9 unaffected LRRK2 carriers.

UPDRS IV data from 3 of 7 LRRK2 PD patients.

In study 1, ANOVA was restricted to cells with at least 3 subjects (see Table 2); most LRRK2-PD patients were age 61 or older, and most unaffected mutation carriers were age 70 or younger. ANOVA demonstrated significant group differences in FDOPA uptake in caudate (age <=50 p = 0·0002; all other age ranges p <0·0001) and in putamen (all age ranges p <0·0001) and in MP binding in caudate and putamen (in both regions, all age ranges p <0·0001). These group differences remained significant after Bonferroni correction for multiple comparisons. LRRK2-PD patients showed lower values for FDOPA uptake and MP binding in the caudate and putamen than healthy controls. The sPD and LRRK2-PD patients had lower FDOPA and MP than healthy controls in caudate and putamen, and in age ranges with sufficient subjects to compare sPD and LRRK2-PD these groups had similar values (putamen shown in Figure 1, caudate and putamen, Table 2). Generally, unaffected LRRK2 mutations carriers had FDOPA values similar to healthy controls, and significantly greater than those with sPD. By contrast, MP values in LRRK2 mutations carriers were significantly lower than healthy controls and significantly higher than sPD, even in younger age groups.
Table 2

FDOPA uptake, MP binding in Study 1: Group comparisons by age

Age groupHC (mean, SE, n)LRRK2-U (mean, SE, n)LRRK2-PD (mean, SE, n)sPD (mean, SE, n)ANOVA
FDOPA Caudate
<=501·12 (0·22) n=81·04 (0·22) n=110·93 (0·22) n=10·84 (0·22) n=7F(2,23) =12·38; p = 0·0002 HC = LRRK2-U > sPD#
51–601·15 (0·23) n=61·08 (0·23) n=100·82 (0·23) n=20·77 (0·23) n=15F(2,28) = 34·99; p < 0·0001 HC = LRRK2-U > sPD#
61–701·08 (0·32) n=81·18 (0·32) n=30·7 (0·32) n=50·68 (0·32) n=21F(3,33) = 18·12; p < 0·0001 HC = LRRK2-U > LRRK2-PD = sPD
>701·24 (0·3) n=91·06 (0·3) n=20·86 (0·3) n=50·76 (0·3) n=16F(2,27) = 28·98; p < 0·0001 HC > LRRK2-PD = sPD*
FDOPA Putamen
<=500·95 (0·26) n=80·9 (0·26) n=110·52 (0·26) n=10·45 (0·26) n=7F(2,23) = 30·79; p < 0·0001 HC = LRRK2-U > sPD#
51–601·01 (0·21) n=60·92 (0·21) n=100·48 (0·21) n=20·4 (0·21) n=15F(2,28) = 109·23; p < 0·0001 HC = LRRK2-U > sPD#
61–700·94 (0·28) n=80·98 (0·28) n=30·37 (0·28) n=50·35 (0·28) n=21F(3,33) = 43·63; p < 0·0001 HC = LRRK2-U > LRRK2-PD = sPD
>701·02 (0·3) n=90·76 (0·3) n=20·53 (0·3) n=50·37 (0·3) n=16F(2,27) = 52·46; p < 0·0001 HC > LRRK2-PD > sPD*
MP Caudate
<=501·75 (0·47) n=71·38 (0·47) n=110·74 (0·47) n=10·86 (0·47) n=8F(2,23) = 26·93; p < 0·0001 HC > LRRK2-U > sPD#
51–601·38 (0·42) n=61·19 (0·42) n=110·55 (0·42) n=10·63 (0·42) n=16F(2,30) = 36·72; p < 0·0001 HC = LRRK2-U > sPD#
61–701·25 (0·43) n=81·06 (0·43) n=30·45 (0·43) n=40·52 (0·43) n=21F(3,32) = 25·06; p < 0·0001 HC = LRRK2-U > LRRK2-PD = sPD
>701·16 (0·42) n=90·82 (0·42) n=20·66 (0·42) n=50·52 (0·42) n=18F(2,29) = 26·31; p < 0·0001 HC > LRRK2-PD = sPD*
MP Putamen
<=501·51 (0·44)n=71·18 (0·44)n=110·41 (0·44)n=10·44 (0·44)n=8F(2,23) = 44·86; p < 0·0001HC > LRRK2-U > sPD#
51–601·23 (0·33) n=61·03 (0·33) n=110·3 (0·33) n=10·35 (0·33) n=16F(2,30) = 82·82; p < 0·0001 HC > LRRK2-U > sPD#
61–701·08 (0·27) n=80·83 (0·27) n=30·28 (0·27) n=40·31 (0·27) n=21F(3,32) = 68·36; p < 0·0001 HC > LRRK2-U > LRRK2-PD= sPD
>700·96 (0·33) n=90·5 (0·33) n=20·41 (0·33) n=50·31 (0·33) n=18F(2,29) = 44·84; p < 0·0001 HC > LRRK2-PD = sPD*

HC= healthy control; LRRK2-U= unaffected mutation carrier; LRRK2-PD= affected mutation carrier; sPD = sporadic PD;

LRRK2-U excluded; #LRRK2-PD excluded.

Figure 1

FDOPA uptake, MP binding grouped by age

18F-FDOPA (F-DOPA) uptake (left panels) and 11C-d-threo-methylphenidate (MP) binding (right panels) in the putamen of healthy controls, LRRK2 mutation carriers with or without manifest PD, and sporadic PD.

A, B: Group comparisons of putamen FDOPA uptake and MP binding.

*LRRK2-unaffected significantly less than healthy controls; p<0·0001. # LRRK2-unaffected significantly greater than LRRK2-PD/sPD; p<0·0001. LRRK2-PD and sPD groups are significantly different from healthy controls for all ages and regions.

C, D: Putamen FDOPA uptake and MP binding as a function of disease duration in symptomatic LRRK2 mutation carriers. Each point represents a single patient; point shape indicates the specific LRRK2 mutation carried by the patient. Solid red line is the equivalent function in patients with sporadic Parkinson’s disease, with 95% confidence limits displayed as light red lines. The solid black line shows the effect of age in healthy controls starting at age 57 (equivalent to duration = 0).

In study 2, ANOVA showed significant group differences in DASB binding in cortex (F3,34=3.49, p=0·026), striatum (F3,34=4·73, p=0·007), and hypothalamus (F3,34=6·34, p=0·002) but not brainstem (F3,34=2·19, p=0·11). ANCOVA demonstrated a significant age effect in brainstem (F1,33=6·96, p=0·013) and hypothalamus (F1,33=11.13, p=0·002). ANCOVA showed significant age-adjusted group differences in hypothalamus, brainstem, and striatum but not in cortex (Table 3, Figure 2). In hypothalamus, unaffected mutation carriers showed significantly higher DASB binding than healthy controls and both groups of affected patients (F3, 33=8·96, p<0·0001). In brainstem, when adjusted for age, unaffected carriers had significantly higher binding than LRRK2-PD patients (F3, 33=3·68, p=0·014). In striatum, DASB binding was significantly higher in unaffected mutation carriers than the sPD patients (F3, 33=3·51, p=0·017). Unaffected mutation carriers had higher DASB binding in cortex than the other groups but when adjusted for age, this was no longer significant (F3, 33=2·56, p=0·057).
Table 3

DTBZ and DASB binding per group in Study 2

GroupDASB BP–Cortex (mean, sd)DASB BP–Striatum (mean, sd)DASB BP–Brainstem (mean, sd)DASB BP–Hypothalamus (mean, sd)DTBZ–putamen (mean, sd)*
HC0·43 (0·10)1·61 (0·21)2·14 (0·51)1·90 (0·40)-
LRRK2-U0·55 (0·10)1·70 (0·23)2·36 (0·43)2·55 (0·49)1·04 (0·28)
LRRK2-PD0·38 (0·09)1·41 (0·14)1·86 (0·26)1·87 (0·35)0·30 (0·11)
sPD0·41 (0·15)1·35 (0·30)2·07 (0·33)2·01 (0·33)0·25 (0·11)

HC= healthy control; LRRK2-U= unaffected mutation carrier; LRRK2-PD= affected mutation carrier; sPD = sporadic PD

DTBZ data are expressed as a left/right average normalized to age-matched healthy control values

Figure 2

Regional DASB Binding

A: Group mean DASB binding potential in different volumes of interest (by reference tissue model); *age-adjusted ANCOVA significantly different; hypothalamus, p<0.0001; striatum, p=0·017; brainstem, p=0·014, corrected for multiple comparisons; whiskers indicate standard deviation.

B: Absolute difference between group mean (bars) and healthy control mean (blue line) in each region

C: Relative difference between healthy control mean (blue line) and binding potential for each participant (as a proportion of the mean healthy control value) in that region

DTBZ binding was significantly reduced in all LRRK2-PD and sPD patients in study 2 compared with healthy controls in both caudate and putamen (all comparisons, p<0·0001); asymmetric reduction was observed in one unaffected LRRK2 mutation carrier (i.e. with this one exception, the changes in DASB binding were not accompanied by abnormal striatal dopaminergic innervation).

DISCUSSION

Based on the results of this study, we suggest that dopaminergic dysfunction in LRRK2 PD progresses in a disease duration-dependent manner and is similar to that observed in sPD. Serotonin transporter binding is elevated rather than reduced in asymptomatic LRRK2 mutation carriers at high genetic risk for PD, in contrast to previous cross sectional studies in established PD showing reduced DASB binding[10-12]. Consistent with previous cross-sectional studies,[4,5] asymptomatic LRRK2 mutation carriers showed reduced MP binding at early ages. This may represent a primary effect on DAT function independent of nerve terminal loss, which does not become apparent until later in life. However, FDOPA uptake was preserved until age 70; we speculate this may persist until impending motor onset. In our study, DASB binding is elevated in asymptomatic LRRK2 carriers in multiple areas despite normal VMAT2 binding, suggesting that serotonergic changes may occur prior to motor symptoms or dopaminergic dysfunction, though in a direction opposite to expected from previous PET studies in PD[10-12] and post-mortem studies of serotonin transporter markers.[21] Elevated DASB binding may indicate increased density of serotonin neurons, regulatory changes in synaptic terminal density, or transporter expression. In LRRK2 PD, reactive and/or compensatory sprouting of serotonergic terminals in striatum may occur gradually over a prolonged period, and could theoretically contribute to preserving dopamine synthesis (and thus FDOPA uptake) since these neurons also express aromatic amino acid decarboxylase. Such changes may no longer be apparent when disease is manifest. Serotonin terminals may also have a functional role in nonmotor aspects of PD. Increased SERT binding in hypothalamus and other areas has been linked to changes in Body Mass Index in PD[22]. In established PD with fatigue, reduced DASB binding has been reported in striatum, thalamus, cingulate gyrus and amygdala[23]. A small cross-sectional study of patients with PD and depression showed elevated DASB binding in dorsolateral prefrontal cortex compared with controls; in major depression such changes are thought to represent regulatory changes in transporter expression[24]. Cortical serotonergic function may affect cognition; increased cortical FDOPA uptake (which can reflect AADC activity in dopaminergic and serotonergic neurons) has been shown in early PD[25] and correlates with performance on executive tasks.[26,27] Asymptomatic G2019S mutation carriers show engagement of broader networks while performing an executive task,[28] suggesting that they are compensating for subtle dysfunction; this may in part be expressed through serotonergic changes. Our finding of increased DASB binding in asymptomatic LRRK2 mutation carriers requires confirmation in larger cohorts, and with longitudinal observations. The asymptomatic LRRK2 mutation carriers studied were younger than sPD and LRRK2-PD patients, though we corrected for this using ANCOVA. The penetrance of LRRK2 PD is variable and age dependent, and individual mutation groups were too small to examine effects of different mutations on the PET markers; the generalizability of these results to LRRK2 patients may therefore be limited. Data from 9 subjects in the first study were obtained with a different PET scanner, though we demonstrated that the techniques were comparable using a reference object (“phantom”) as well as human subjects. Both FDOPA and MP are potentially affected by regulatory changes and medication effects. We found striatal DASB binding unrelated to UPDRS-III scores but did not attempt to replicate a relationship with medication exposure[12]. We have demonstrated a similar relationship between disease duration and dopaminergic dysfunction in sPD and LRRK2 PD, and evidence of serotonergic changes in LRRK2 mutation carriers who do not have PD. Asymptomatic LRRK2 mutation carriers may provide a useful model for apparently sporadic PD, and the early and diverse compensatory responses underway in the brain before disease manifests.
  28 in total

1.  Preserved serotonin transporter binding in de novo Parkinson's disease: negative correlation with the dopamine transporter.

Authors:  Karl Strecker; Florian Wegner; Swen Hesse; Georg-Alexander Becker; Marianne Patt; Philipp M Meyer; Donald Lobsien; Johannes Schwarz; Osama Sabri
Journal:  J Neurol       Date:  2010-07-21       Impact factor: 4.849

2.  Olfactory dysfunction in LRRK2 G2019S mutation carriers.

Authors:  R Saunders-Pullman; K Stanley; C Wang; M San Luciano; V Shanker; A Hunt; L Severt; D Raymond; L J Ozelius; R B Lipton; S B Bressman
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

3.  Cortical 6-[18F]fluoro-L-dopa uptake and frontal cognitive functions in early Parkinson's disease.

Authors:  Anna Brück; Sargo Aalto; Elina Nurmi; Jörgen Bergman; Juha O Rinne
Journal:  Neurobiol Aging       Date:  2005-06       Impact factor: 4.673

4.  Staging of serotonergic dysfunction in Parkinson's disease: an in vivo 11C-DASB PET study.

Authors:  Marios Politis; Kit Wu; Clare Loane; Lorenzo Kiferle; Sophie Molloy; David J Brooks; Paola Piccini
Journal:  Neurobiol Dis       Date:  2010-05-31       Impact factor: 5.996

5.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations.

Authors:  C S Patlak; R G Blasberg
Journal:  J Cereb Blood Flow Metab       Date:  1985-12       Impact factor: 6.200

6.  Fatigue in Parkinson's disease is linked to striatal and limbic serotonergic dysfunction.

Authors:  Nicola Pavese; Vinod Metta; Subrata K Bose; Kallol Ray Chaudhuri; David J Brooks
Journal:  Brain       Date:  2010-09-30       Impact factor: 13.501

7.  Novel pathogenic LRRK2 p.Asn1437His substitution in familial Parkinson's disease.

Authors:  Jan O Aasly; Carles Vilariño-Güell; Justus C Dachsel; Philip J Webber; Andrew B West; Kristoffer Haugarvoll; Krisztina K Johansen; Mathias Toft; John G Nutt; Haydeh Payami; Jennifer M Kachergus; Sarah J Lincoln; Amela Felic; Christian Wider; Alexandra I Soto-Ortolaza; Stephanie A Cobb; Linda R White; Owen A Ross; Matthew J Farrer
Journal:  Mov Disord       Date:  2010-10-15       Impact factor: 10.338

8.  Neural correlates of executive functions in healthy G2019S LRRK2 mutation carriers.

Authors:  Avner Thaler; Anat Mirelman; Rick C Helmich; Bart F L van Nuenen; Keren Rosenberg-Katz; Tanya Gurevich; Avi Orr-Urtreger; Karen Marder; Susan Bressman; Bastiaan R Bloem; Nir Giladi; Talma Hendler
Journal:  Cortex       Date:  2013-01-07       Impact factor: 4.027

9.  Phenotype in parkinsonian and nonparkinsonian LRRK2 G2019S mutation carriers.

Authors:  C Marras; B Schüle; B Schuele; R P Munhoz; E Rogaeva; J W Langston; M Kasten; C Meaney; C Klein; P M Wadia; S-Y Lim; R S-I Chuang; C Zadikof; T Steeves; K M Prakash; R M A de Bie; G Adeli; T Thomsen; K K Johansen; H A Teive; A Asante; W Reginold; A E Lang
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

10.  Prediagnostic presentations of Parkinson's disease in primary care: a case-control study.

Authors:  Anette Schrag; Laura Horsfall; Kate Walters; Alastair Noyce; Irene Petersen
Journal:  Lancet Neurol       Date:  2014-11-27       Impact factor: 44.182

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  34 in total

1.  Is serotonin pathology a good biomarker in vivo for early Parkinson's disease?

Authors:  Celia Painous; Andres Perissinotti; Maria J Martí
Journal:  Ann Transl Med       Date:  2019-12

2.  LRRK2 and GBA Variants Exert Distinct Influences on Parkinson's Disease-Specific Metabolic Networks.

Authors:  Katharina A Schindlbeck; An Vo; Nha Nguyen; Chris C Tang; Martin Niethammer; Vijay Dhawan; Vicky Brandt; Rachel Saunders-Pullman; Susan B Bressman; David Eidelberg
Journal:  Cereb Cortex       Date:  2020-05-14       Impact factor: 5.357

Review 3.  Cognitive and behavioral disorders in Parkinson's disease: an update. I: cognitive impairments.

Authors:  Costanza Papagno; Luigi Trojano
Journal:  Neurol Sci       Date:  2017-10-17       Impact factor: 3.307

Review 4.  Structural Imaging in Parkinson's Disease: New Developments.

Authors:  Stéphane Prange; Elise Metereau; Stéphane Thobois
Journal:  Curr Neurol Neurosci Rep       Date:  2019-06-18       Impact factor: 5.081

Review 5.  α-Synuclein in Parkinson's disease: causal or bystander?

Authors:  Peter Riederer; Daniela Berg; Nicolas Casadei; Fubo Cheng; Joseph Classen; Christian Dresel; Wolfgang Jost; Rejko Krüger; Thomas Müller; Heinz Reichmann; Olaf Rieß; Alexander Storch; Sabrina Strobel; Thilo van Eimeren; Hans-Ullrich Völker; Jürgen Winkler; Konstanze F Winklhofer; Ullrich Wüllner; Friederike Zunke; Camelia-Maria Monoranu
Journal:  J Neural Transm (Vienna)       Date:  2019-06-25       Impact factor: 3.575

6.  The effect of LRRK2 mutations on the cholinergic system in manifest and premanifest stages of Parkinson's disease: a cross-sectional PET study.

Authors:  Shu-Ying Liu; Daryl J Wile; Jessie Fanglu Fu; Jason Valerio; Elham Shahinfard; Siobhan McCormick; Rostom Mabrouk; Nasim Vafai; Jess McKenzie; Nicole Neilson; Alexandra Perez-Soriano; Julieta E Arena; Mariya Cherkasova; Piu Chan; Jing Zhang; Cyrus P Zabetian; Jan O Aasly; Zbigniew K Wszolek; Martin J McKeown; Michael J Adam; Thomas J Ruth; Michael Schulzer; Vesna Sossi; A Jon Stoessl
Journal:  Lancet Neurol       Date:  2018-02-16       Impact factor: 44.182

7.  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.

Authors:  Tanya Simuni; Liz Uribe; Hyunkeun Ryan Cho; Chelsea Caspell-Garcia; Christopher S Coffey; Andrew Siderowf; John Q Trojanowski; Leslie M Shaw; John Seibyl; Andrew Singleton; Arthur W Toga; Doug Galasko; Tatiana Foroud; Duygu Tosun; Kathleen Poston; Daniel Weintraub; Brit Mollenhauer; Caroline M Tanner; Karl Kieburtz; Lana M Chahine; Alyssa Reimer; Samantha J Hutten; Susan Bressman; Kenneth Marek
Journal:  Lancet Neurol       Date:  2019-10-31       Impact factor: 44.182

8.  Increased risk of diseases of the basal ganglia and cerebellum in patients with a history of attention-deficit/hyperactivity disorder.

Authors:  Karen Curtin; Annette E Fleckenstein; Brooks R Keeshin; Deborah A Yurgelun-Todd; Perry F Renshaw; Ken R Smith; Glen R Hanson
Journal:  Neuropsychopharmacology       Date:  2018-09-12       Impact factor: 7.853

9.  Clinical and Dopamine Transporter Imaging Characteristics of Leucine Rich Repeat Kinase 2 (LRRK2) and Glucosylceramidase Beta (GBA) Parkinson's Disease Participants in the Parkinson's Progression Markers Initiative: A Cross-Sectional Study.

Authors:  Tanya Simuni; Michael C Brumm; Liz Uribe; Chelsea Caspell-Garcia; Christopher S Coffey; Andrew Siderowf; Roy N Alcalay; John Q Trojanowski; Leslie M Shaw; John Seibyl; Andrew Singleton; Arthur W Toga; Doug Galasko; Tatiana Foroud; Kelly Nudelman; Duygu Tosun-Turgut; Kathleen Poston; Daniel Weintraub; Brit Mollenhauer; Caroline M Tanner; Karl Kieburtz; Lana M Chahine; Alyssa Reimer; Samantha Hutten; Susan Bressman; Kenneth Marek
Journal:  Mov Disord       Date:  2020-02-19       Impact factor: 10.338

Review 10.  Prodromal Parkinson disease subtypes - key to understanding heterogeneity.

Authors:  Daniela Berg; Per Borghammer; Seyed-Mohammad Fereshtehnejad; Sebastian Heinzel; Jacob Horsager; Eva Schaeffer; Ronald B Postuma
Journal:  Nat Rev Neurol       Date:  2021-04-20       Impact factor: 42.937

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