Literature DB >> 32775020

A Retrospective Imaging Evaluation of Presynaptic Dopaminergic Degeneration in Multiple System Atrophy with Levodopa Induced Dyskinesia.

Shin-Ichi Ueno1, Genko Oyama1, Kazuaki Kanai1,2, Taku Hatano1, Yasushi Shimo1, Nobutaka Hattori1.   

Abstract

Background: Multiple system atrophy (MSA) may develop levodopa-induced dyskinesia, which is dystonic and predominant in the orofacial region. We aimed to characterize the patterns of presynaptic dopaminergic degeneration in patients with MSA and dyskinesia using 123I-N-x-fluoropropyl-2b-carbo-methoxy-3b-(4-iodophenyl) nortropan single-photon emission computed tomography (123I-FP-CIT SPECT).
Methods: A single center cross-sectional retrospective study was conducted using consecutive chart review of patients with probable MSA who underwent 123I-FP-CIT SPECT. The degeneration patterns were compared between the groups with and without dyskinesia via visual assessment of 123I-FP-CIT SPECT images.
Results: Twenty-five patients with probable MSA who had undergone dopamine transporter imaging were identified (age [mean ± standard error], 62.5 ± 1.7 years; disease duration, 48.8 ± 7.0 months). Four of them presented dyskinesia and 21 of patients did not. Twenty-five patients with MSA were visually classified into five grades: one Grade 1 (normal), two Grade 2 (eagle wing), three Grade 3 (mixed), nine Grade 4 (egg shape), and ten Grade 5 (burst striatum). All patients with MSA and dyskinesia were classified into Grade 5. Visual grading significantly correlated with disease duration and levodopa responsiveness. Conclusions: Severe presynaptic dopaminergic dysfunction in 123I-FP-CIT SPECT images, higher doses of dopaminergic medication, and longer disease durations were associated with occurrence of levodopa-induced dyskinesia, even in MSA. Copyright:
© 2020 The Author(s).

Entities:  

Keywords:  burst pattern; dopamine transporter; levodopa induced dyskinesia; multiple system atrophy

Year:  2020        PMID: 32775020      PMCID: PMC7394229          DOI: 10.5334/tohm.58

Source DB:  PubMed          Journal:  Tremor Other Hyperkinet Mov (N Y)        ISSN: 2160-8288


Introduction

Multiple system atrophy (MSA) is a neurodegenerative disorder characterized by autonomic failure, poor levodopa-responsive parkinsonism, and cerebellar ataxia. It is classified into the Parkinson type (MSA-P), which is parkinsonism predominant, and the cerebellar type (MSA-C), which is cerebellar ataxia predominant [1]. As presynaptic dopaminergic denervation is predominant in Parkinson’s disease (PD), dopamine-replacement therapy is effective. However, not only presynaptic but also postsynaptic dopaminergic denervation starts at a relatively early stage in MSA. Therefore, levodopa is usually less effective, or responsiveness to levodopa weans off earlier, in MSA than in PD [2]. Levodopa-induced dyskinesia (LID) is the major complication of long-term levodopa-replacement therapy for PD. The main pathophysiology of LID has been considered to be the inability for storage and the pulsatile release of dopamine due to the degeneration of striatal presynaptic dopaminergic neurons. Some MSA-P patients treated with levodopa are also known to develop LID [234]. In general, LID in MSA is typically predominant in axial and craniocervical lesions, and it is dystonic but could be generalized choreic in some cases [34]. The detailed mechanisms underlying LID in MSA remain unclear. Single-photon emission computed tomography (SPECT) of dopamine transporter (DAT) utilizing 123I-N-x-fluoropropyl-2b-carbo-methoxy-3b-(4-iodophenyl)nortropan (123I-FP-CIT) is useful for detecting nigrostriatal degenerative disorders [5]. Kahraman et al. proposed a visual assessment of 123I-FP-CIT SPECT images, and showed different patterns for each parkinsonian syndrome [6]. A recent study showed that presynaptic dopamine depletion visualized using DAT-SPECT predicts LID in PD [7]. In this study, we aimed to characterize the patterns of presynaptic dopaminergic degeneration in patients with MSA and dyskinesia using 123I-FP-CIT SPECT.

Methods

We retrospectively reviewed the records of patients who satisfied Gilman’s criteria for probable MSA and underwent 123I-FP-CIT SPECT, which is usually performed as a regular work-up for parkinsonism and other neurodegenerative disorders, between March 2014 and May 2015 [8]. The diagnosis of MSA-P and MSA-C was made on the basis of the clinically predominant phenotype, regardless of imaging findings. All patients with MSA had been treated as outpatients at Juntendo University and confirmed antiparkinsonian drugs for acquisition of 123I-FP-CIT SPECT. The data collected from the chart included age, sex, age at onset, disease duration, the Unified Parkinson’s Disease Rating Scale (UPDRS) score in the on-state, Hoehn & Yahr stage, levodopa responsiveness (subjective and/or objective), levodopa dose (LDD), levodopa equivalent dose (LED), body weight, and the average specific binding ratio (SBR) of 123I-FP-CIT SPECT. This retrospective study was approved by the institutional review board in Juntendo University Hospital. Movement disorder specialists (GO, KK, and HT) performed clinical assessments including levodopa responsiveness and presence of LID. 123I-FP-CIT SPECT was performed using a dual-head gamma camera (E. Cam Signature; Symbia E/Symbia S, Low-Medium Energy General Purpose [LMEGP] collimator, SIEMENS, Munich, Germany), 3 hours after the intravenous injection 167 MBq of 123I-FP-CIT (Ioflupane injection; Nihon Medi-Physics Co., Ltd., Tokyo, Japan). The gamma camera was calibrated for a 150-keV photo peak and ±20% energy window. Parameters for the dynamic study were as follows: 4/projection; 2.5 min/cycle × 10 cycles, and continuous mode. On 123I-FP-CIT SPECT images, striatal dopaminergic deficit was estimated using the SBR of the voxel of interest (VOI) on the striatum (DaTView software; Nihon Medi-Physics Co., Ltd., Tokyo). First, the striatum was preconditioned; thereafter, setting of VOI on striatum and reference VOI were conditioned, finally calculated the SBR [5]. We then classified the visual patterns on the 123I-FP-CIT SPECT images into five grades utilizing Kahraman’s visual assessment: [6] Grade 1 (normal), Grade 2 (eagle wing), Grade 3 (mixed), Grade 4 (egg shape), and Grade 5 (burst striatum) (Figure 1). The 123I-FP-CIT SPECT images were evaluated by experienced movement disorder specialists (GO, KK, and HT). The characteristics of 123I-FP-CIT SPECT images were compared between patients with and without LID.
Figure 1

Kahraman’s visual assessment in Grade 1 (normal), (B) Grade 2 (eagle wing), (C) Grade 3 (mixed), (D) Grade 4 (egg shape), and (E) Grade 5 (burst striatum).

Kahraman’s visual assessment in Grade 1 (normal), (B) Grade 2 (eagle wing), (C) Grade 3 (mixed), (D) Grade 4 (egg shape), and (E) Grade 5 (burst striatum).

Statistical analysis

Patient characteristics were analyzed using Student’s t-test, chi-square test and Fisher’s exact test. Correlations between visual assessment grades and each parameter were calculated using Pearson’s correlation coefficient. A two-sided P value < 0.05 was considered significant. We used JMP 13 (SAS Institute) to perform statistical analysis.

Results

We identified 25 patients with probable MSA who had undergone DAT imaging. The characteristics of these patients are shown in Table 1. Their average age was 59.3 ± 2.13 (standard error [SE]) years, age at onset was 50.3 ± 3.00 (SE) years, and disease duration was 106.8 ± 24.8 (SE) months. Among the 25 patients, four presented LID and 21 did not. Patients with LID had significantly longer disease duration, higher LED, better levodopa responsiveness, and lower SBRs. Based on Kahraman’s visual assessment [6], the 25 patients were visually classified into the five grades as follows: one Grade 1 (normal), two Grade 2 (eagle wing), three Grade 3 (mixed), nine Grade 4 (egg shape), and ten Grade 5 (burst striatum). All patients with MSA and dyskinesia were classified into Grade 5. We also conducted a sub-analysis of patients with burst pattern, and it revealed that patients with LID had, high responsiveness to levodopa, higher LED, lower SBRs, and longer disease duration than patients without LID. Visual assessment grading of DAT-SPECT images significantly correlated with clinical parameters such as disease duration (r = 0.420, P < 0.05). The grading also correlated with disease duration in MSA-P (MSA-P: disease duration; r = 0.686, P = 0.0047), but not in MSA-C (r = 0.438, P = 0.204). The visual assessment grading did not correlate with clinical symptoms such as bradykinesia (r = 0.410, P = 0.065) and rigidity (r = 0.374, P = 0.065; Figure 2), and in MSA clinical subtypes either (MSA-C: bradykinesia; r = 0.537, P = 0.135, rigidity; r = 0.592, P = 0.0925, MSA-P: bradykinesia; r = 0.0639, P = 0.821, rigidity; r = -0.261, P = 0.347).
Table 1

Patients characteristics.

With LID (n = 4)Without LID (n = 21)P value

Age (years)59.3 ± 2.1463 ± 1.890.411
Sex (M/F), n0/411/100.09a
Disease duration (months)106.8 ± 24.848.8 ± 6.98<0.001
Age at onset (months)50.3 ± 359.8 ± 1.980.057
Duration of LID (months)66.7 ± 15.9
MSA-C/MSA-P1/39/120.627
Levodopa responsiveness4/49/21<0.05
Hoehn & Yahr stage4.5 ± 0.293.7 ± 0.140.130
Rigidity on UPDRS part III5.75 ± 1.544.48 ± 0.960.587
Akinesia on UPDRS part III15.3 ± 2.8411.5 ± 1.270.222
LDD (mg)600 ± 141426 ± 980.449
LDD/body weight (mg/kg)15.8 ± 3.67.8 ± 2.00.122
LED (mg)1053 ± 158494.6 ± 4950.0424
LED/Body weight (mg/kg)25.9 ± 8.79.95 ± 110.0162
Specific binding ratio (average)0.64 ± 0.422.54 ± 0.36<0.05

Abbreviations: LID: levodopa-induced dyskinesia, MSA-C: cerebellar-type multiple system atrophy, MSA-P: Parkinson-type multiple system atrophy, UPDRS: Unified Parkinson’s Disease Rating Scale, LDD: levodopa dose, LED: levodopa equivalent dose. p Value was obtained by t-test. p Valuea was obtained by fisher’s exact test (median (interquartile range)).

Figure 2

Correlation of dopamine transporter single-photon emission computed tomography visual assessment grade and disease duration. (A) disease duration, (B) bradykinesia (finger tapping, rapid alternating movement, and foot tapping), (C) rigidity (neck and limbs).

Open circle; MSA patients with dyskinesia, closed circle; MSA patients without dyskinesia. p Value was obtained by Pearson’s correlation coefficient.

Abbreviation: UPDRS: Unified Parkinson’s Disease Rating Scale.

Patients characteristics. Abbreviations: LID: levodopa-induced dyskinesia, MSA-C: cerebellar-type multiple system atrophy, MSA-P: Parkinson-type multiple system atrophy, UPDRS: Unified Parkinson’s Disease Rating Scale, LDD: levodopa dose, LED: levodopa equivalent dose. p Value was obtained by t-test. p Valuea was obtained by fisher’s exact test (median (interquartile range)). Correlation of dopamine transporter single-photon emission computed tomography visual assessment grade and disease duration. (A) disease duration, (B) bradykinesia (finger tapping, rapid alternating movement, and foot tapping), (C) rigidity (neck and limbs). Open circle; MSA patients with dyskinesia, closed circle; MSA patients without dyskinesia. p Value was obtained by Pearson’s correlation coefficient. Abbreviation: UPDRS: Unified Parkinson’s Disease Rating Scale.

Discussion

In this study, we demonstrated that MSA-C showed various degeneration patterns from Grade 1 to 5 whereas MSA-P showed severe presynaptic degeneration patterns such as the “egg-shaped pattern” or “burst-striatum pattern.” Indeed, studies have reported that even in patients with MSA-C without parkinsonism, striatal binding in 123I-FP-CIT SPECT was reduced when compared with healthy controls [9]; moreover, there is no difference in response to levodopa between patients with pathologically striatonigral degeneration-type and olivopontocerebellar atrophy-type MSA [10]. In addition, we demonstrated that patients with MSA and LID tended to show severely decreased SBRs on 123I-FP-CIT SPECT. Interestingly, all patients with MSA (regardless of MSA-P or MSA-C) developed LID showed the “burst-striatum pattern”. These findings may support the hypothesis that severe presynaptic degeneration is necessary for LID development. From a pathophysiological perspective, in PD, presynaptic dopaminergic denervation is presumed to be an important cause of LID [71112]. With the progression of nigrostriatal neuron degeneration, the serotonergic terminals metabolize levodopa to dopamine; however, these cannot store dopamine, and in turn result in the pulsatile release of dopamine based on changes in dopamine blood concentration [13]. Therefore, the same scenario may be possible in MSA. In addition to the severe loss of dopaminergic neurons, postsynaptic cell survival in the putamen may be related to both levodopa responsiveness and LID development. Although MSA usually affects postsynaptic striatal neurons as well as presynaptic dopaminergic terminals, and levodopa responsiveness is much lower than in PD, a clinicopathological study has reported that 15–20% of patients with MSA have good levodopa responsiveness, and 7–8% may develop LID [14]. In addition, putaminal damage has been reported to be less severe in MSA with levodopa responsiveness [10], and levodopa responsiveness in MSA is inversely related only to putaminal damage but not to nigral damage [14]. Indeed, our data shows higher LED associated with LID, regardless of MSA subtype. Additionally, there may be some change in postsynaptic striatal neurons because postsynaptic hypersensitivity plays an important role in LID development in PD [11]. Thus, it is speculated that despite early nigrostriatal denervation, the preservation and hyperactivation of postsynaptic striatal neurons may be related to LID development in MSA. Another possible hypothesis is that a change in DAT-SPECT may be related to confounding factors such as clinical features. Patients with MSA and LID had significantly longer disease durations and higher LED and levodopa responsiveness than patients with MSA without LID. Our results also revealed that LID developed earlier in MSA (5–6 years from disease onset) than in PD (about 8 to 9 years), which is in line with the findings of a previous report [3]. Visual assessment grading on DAT-SPECT correlated with parameters such as disease duration, especially for MSA-P and levodopa responsiveness. These results are also in line with those of previous studies that showed younger onset age, higher levodopa dose, and lower DAT activity to be predictors of LID development in PD [7]. Nevertheless, clinical features may also be related to the pathological changes. Our study had several notable limitations. This was a single center retrospective open label study which featured a small sample size. Additionally, there was no quantitative analysis of the images; this should be considered as a methodological addition to future studies. Second, the diagnosis of probable or possible MSA was based on clinical information, and lacked pathological confirmation. In addition, the variability of MSA subtype prevalence statistics likely depended on the center, and this should be considered. Finally, we did not evaluate other clinical symptoms—such as detailed dysautonomia—unrelated to diagnosis and the accurate assessment of ataxia according to the International Cooperative Ataxia Scale, Scale for the Assessment and Rating of Ataxia, or the Unified Multiple System Atrophy Rating Scale [151617]. Further prospective studies utilizing presynaptic and postsynaptic imaging and prospective follow-up with autopsy confirmation will be needed to confirm our findings.

Conclusion

Our results revealed that MSA with LID severely affected presynaptic dopaminergic neurons, as seen on DAT-SPECT imaging. Higher doses of dopaminergic medication were associated with LID in MSA. This may suggest that the preservation of postsynaptic neurons may play an important role in LID development, in addition to presynaptic dopaminergic degeneration. Furthermore, slower progression with longer disease duration might be associated with LID development in MSA as well as PD. However, these hypotheses should be confirmed in future studies.
  17 in total

1.  The dopaminergic response in multiple system atrophy.

Authors:  A J Hughes; C Colosimo; B Kleedorfer; S E Daniel; A J Lees
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-11       Impact factor: 10.154

2.  Visual assessment of dopaminergic degeneration pattern in 123I-FP-CIT SPECT differentiates patients with atypical parkinsonian syndromes and idiopathic Parkinson's disease.

Authors:  Deniz Kahraman; Carsten Eggers; Harald Schicha; Lars Timmermann; Matthias Schmidt
Journal:  J Neurol       Date:  2011-07-13       Impact factor: 4.849

Review 3.  Presynaptic effects of levodopa and their possible role in dyskinesia.

Authors:  Eugene V Mosharov; Anders Borgkvist; David Sulzer
Journal:  Mov Disord       Date:  2014-12-01       Impact factor: 10.338

4.  Dyskinesias and motor symptoms onset in Parkinson disease.

Authors:  Anna Latorre; Maria Carmela Bloise; Carlo Colosimo; Francesca Di Biasio; Giovanni Defazio; Alfredo Berardelli; Giovanni Fabbrini
Journal:  Parkinsonism Relat Disord       Date:  2014-10-22       Impact factor: 4.891

5.  Presynaptic dopamine depletion predicts levodopa-induced dyskinesia in de novo Parkinson disease.

Authors:  Jin Yong Hong; Jungsu S Oh; Injoo Lee; Mun Kyung Sunwoo; Jee Hyun Ham; Ji E Lee; Young H Sohn; Jae Seung Kim; Phil Hyu Lee
Journal:  Neurology       Date:  2014-04-09       Impact factor: 9.910

6.  Scale for the assessment and rating of ataxia: development of a new clinical scale.

Authors:  T Schmitz-Hübsch; S Tezenas du Montcel; L Baliko; J Berciano; S Boesch; C Depondt; P Giunti; C Globas; J Infante; J-S Kang; B Kremer; C Mariotti; B Melegh; M Pandolfo; M Rakowicz; P Ribai; R Rola; L Schöls; S Szymanski; B P van de Warrenburg; A Dürr; T Klockgether; Roberto Fancellu
Journal:  Neurology       Date:  2006-06-13       Impact factor: 9.910

7.  Dystonia in multiple system atrophy.

Authors:  S M Boesch; G K Wenning; G Ransmayr; W Poewe
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-03       Impact factor: 10.154

8.  Multiple system atrophy: a review of 203 pathologically proven cases.

Authors:  G K Wenning; F Tison; Y Ben Shlomo; S E Daniel; N P Quinn
Journal:  Mov Disord       Date:  1997-03       Impact factor: 10.338

9.  Development and validation of the Unified Multiple System Atrophy Rating Scale (UMSARS).

Authors:  Gregor K Wenning; François Tison; Klaus Seppi; Cristina Sampaio; Anja Diem; Farid Yekhlef; Imad Ghorayeb; Fabienne Ory; Monique Galitzky; Tommaso Scaravilli; Maria Bozi; Carlo Colosimo; Sid Gilman; Clifford W Shults; Niall P Quinn; Olivier Rascol; Werner Poewe
Journal:  Mov Disord       Date:  2004-12       Impact factor: 10.338

10.  Second consensus statement on the diagnosis of multiple system atrophy.

Authors:  S Gilman; G K Wenning; P A Low; D J Brooks; C J Mathias; J Q Trojanowski; N W Wood; C Colosimo; A Dürr; C J Fowler; H Kaufmann; T Klockgether; A Lees; W Poewe; N Quinn; T Revesz; D Robertson; P Sandroni; K Seppi; M Vidailhet
Journal:  Neurology       Date:  2008-08-26       Impact factor: 9.910

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