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Figure 1. 
Scatterplots of dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) values against symptom duration for the less affected side of the anterior putamen (A), the more affected side of the anterior putamen (B), the less affected side of the posterior putamen (C), and the more affected side of the posterior putamen (D). The putamen on the more (less) affected side corresponds to the less (more) symptomatic side of the body. The BP was obtained from the distribution-volume ratio by subtracting 1.

Scatterplots of dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) values against symptom duration for the less affected side of the anterior putamen (A), the more affected side of the anterior putamen (B), the less affected side of the posterior putamen (C), and the more affected side of the posterior putamen (D). The putamen on the more (less) affected side corresponds to the less (more) symptomatic side of the body. The BP was obtained from the distribution-volume ratio by subtracting 1.

Figure 2. 
Multivariate analysis of the time course of dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) in 4 putamen regions of Parkinson disease patients. The BP was studied using positron emission tomography with carbon C 11. The asymptotic values were significantly different between the anterior and posterior putamen (P<.001 for the less and more affected sides) and between the less and more affected sides (P<.001 for the anterior and posterior putamen). For the anterior putamen on the less affected side, y = 0.503e−0.784t + 0.498; for the anterior putamen on the more affected side, y = 0.310e−0.702t + 0.391; for the posterior putamen on the less affected side, y = 0.305e−0.488t + 0.361; and for the posterior putamen on the more affected side, y = 0.312e−0.799t + 0.269 (e indicates exponential function; t, symptom duration in years).

Multivariate analysis of the time course of dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) in 4 putamen regions of Parkinson disease patients. The BP was studied using positron emission tomography with carbon C 11. The asymptotic values were significantly different between the anterior and posterior putamen (P<.001 for the less and more affected sides) and between the less and more affected sides (P<.001 for the anterior and posterior putamen). For the anterior putamen on the less affected side, = 0.503e−0.784t + 0.498; for the anterior putamen on the more affected side, = 0.310e−0.702t + 0.391; for the posterior putamen on the less affected side, y = 0.305e−0.488t + 0.361; and for the posterior putamen on the more affected side, = 0.312e−0.799t + 0.269 (e indicates exponential function; t, symptom duration in years).

Figure 3. 
Dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) values in the anterior and posterior putamen were compared between the healthy subjects and the duration groups with Parkinson disease (PD) (PD1 indicates early PD; and PD4, late PD). While comparison between the healthy and PD1 group showed a significant (P<.001) interaction with the regions (anterior and posterior putamen), there was no significant (P=.17) interaction between the regions and the 4 duration groups of PD.

Dihydrotetrabenazine binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) values in the anterior and posterior putamen were compared between the healthy subjects and the duration groups with Parkinson disease (PD) (PD1 indicates early PD; and PD4, late PD). While comparison between the healthy and PD1 group showed a significant (P<.001) interaction with the regions (anterior and posterior putamen), there was no significant (P=.17) interaction between the regions and the 4 duration groups of PD.

Table. Clinical Characteristics of the 67 Subjects With PD*
Clinical Characteristics of the 67 Subjects With PD*
1.
Kish  SJShannak  KHornykiewicz  O Uneven pattern of dopamine loss in the striatum of patients with idiopathic Parkinson's disease: pathophysiologic and clinical implications.  N Engl J Med 1988;318876- 880PubMedGoogle ScholarCrossref
2.
Fearnley  JMLees  AJ Ageing and Parkinson's disease: substantia nigra regional selectivity.  Brain 1991;1142283- 2301PubMedGoogle ScholarCrossref
3.
Saper  CB “Like a thief in the night”: the selectivity of degeneration in Parkinson's disease.  Brain 1999;1221401- 1402PubMedGoogle ScholarCrossref
4.
McGeer  PLItagaki  SAkiyama  HMcGeer  EG Rate of cell death in parkinsonism indicates active neuropathological process.  Ann Neurol 1988;24574- 576PubMedGoogle ScholarCrossref
5.
Jenner  PDexter  DTSian  JSchapira  AHMarsden  CDRoyal Kings and Queens Parkinson's Disease Research Group, Oxidative stress as a cause of nigral cell death in Parkinson's disease and incidental Lewy body disease.  Ann Neurol 1992;32(suppl)S82- S87PubMedGoogle ScholarCrossref
6.
Schapira  AHGu  MTaanman  JW  et al.  Mitochondria in the etiology and pathogenesis of Parkinson's disease.  Ann Neurol 1998;44(suppl)S89- S98PubMedGoogle ScholarCrossref
7.
Tatton  WGChalmers-Redman  RBrown  DTatton  N Apoptosis in Parkinson's disease: signals for neuronal degradation.  Ann Neurol 2003;53(suppl 3)S61- S70PubMedGoogle ScholarCrossref
8.
McNaught  KSBelizaire  RIsacson  OJenner  POlanow  CW Altered proteasomal function in sporadic Parkinson's disease.  Exp Neurol 2003;17938- 46PubMedGoogle ScholarCrossref
9.
Teismann  PTieu  KChoi  DK  et al.  Cyclooxygenase-2 is instrumental in Parkinson's disease neurodegeneration.  Proc Natl Acad Sci U S A 2003;1005473- 5478PubMedGoogle ScholarCrossref
10.
Beal  MF Aging, energy, and oxidative stress in neurodegenerative diseases.  Ann Neurol 1995;38357- 366PubMedGoogle ScholarCrossref
11.
McGeer  PLMcGeer  EG The inflammatory response system of brain: implications for therapy of Alzheimer and other neurodegenerative diseases.  Brain Res Brain Res Rev 1995;21195- 218PubMedGoogle ScholarCrossref
12.
Carney  JM Oxidative stress leading to loss of critical proteases in Alzheimer's disease: an alternative view of the etiology of AD.  Ann N Y Acad Sci 2000;924160- 163PubMedGoogle ScholarCrossref
13.
Yuan  JYankner  BA Apoptosis in the nervous system.  Nature 2000;407802- 809PubMedGoogle ScholarCrossref
14.
Muchowski  PJ Protein misfolding, amyloid formation, and neurodegeneration: a critical role for molecular chaperones?  Neuron 2002;359- 12PubMedGoogle ScholarCrossref
15.
Nicklas  WJVyas  IHeikkila  RE Inhibition of NADH-linked oxidation in brain mitochondria by 1-methyl-4-phenyl-pyridine, a metabolite of the neurotoxin, 1-methyl-4-phenyl-1,2,5,6-tetrahydropyridine.  Life Sci 1985;362503- 2508PubMedGoogle ScholarCrossref
16.
Jackson-Lewis  VJakowec  MBurke  REPrzedborski  S Time course and morphology of dopaminergic neuronal death caused by the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine.  Neurodegeneration 1995;4257- 269PubMedGoogle ScholarCrossref
17.
Langston  JWForno  LSTetrud  JReeves  AGKaplan  JAKarluk  D Evidence of active nerve cell degeneration in the substantia nigra of humans years after 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine exposure.  Ann Neurol 1999;46598- 605PubMedGoogle ScholarCrossref
18.
Hornykiewicz  OPifl  CKish  SJ Biochemical changes in idiopathic Parkinson's disease, aging, and MPTP parkinsonism: similarities and differences.  In: Calne  DB, Comi  G, Crippa  D, Horowski  R, Trabucchi  M, eds.  Parkinsonism and Aging. New York, NY: Raven Press; 1989:57-68Google Scholar
19.
Snow  BJVingerhoets  FJLangston  JWTetrud  JWSossi  VCalne  DB Pattern of dopaminergic loss in the striatum of humans with MPTP induced parkinsonism.  J Neurol Neurosurg Psychiatry 2000;68313- 316PubMedGoogle ScholarCrossref
20.
Albers  DSBeal  MF Mitochondrial dysfunction and oxidative stress in aging and neurodegenerative disease.  J Neural Transm Suppl 2000;59133- 154PubMedGoogle Scholar
21.
Vingerhoets  FJSnow  BJTetrud  JWLangston  JWSchulzer  MCalne  DB Positron emission tomographic evidence for progression of human MPTP-induced dopaminergic lesions.  Ann Neurol 1994;36765- 770PubMedGoogle ScholarCrossref
22.
Calne  DBSnow  BJLee  C Criteria for diagnosing Parkinson's disease.  Ann Neurol 1992;32(suppl)S125- S127PubMedGoogle ScholarCrossref
23.
Langston  JWWidner  HGoetz  CG  et al.  Core assessment program for intracerebral transplantations (CAPIT).  Mov Disord 1992;72- 13PubMedGoogle ScholarCrossref
24.
Lee  CSSamii  ASossi  V  et al.  In vivo positron emission tomographic evidence for compensatory changes in presynaptic dopaminergic nerve terminals in Parkinson's disease.  Ann Neurol 2000;47493- 503PubMedGoogle ScholarCrossref
25.
Venables  WNRipley  BD Modern Applied Statistics With S-Plus. 3rd ed. New York: Springer-Verlag NY Inc; 1999
26.
Vander Borght  TKilbourn  MDesmond  TKuhl  DFrey  K The vesicular monoamine transporter is not regulated by dopaminergic drug treatments.  Eur J Pharmacol 1995;294577- 583PubMedGoogle ScholarCrossref
27.
Wilson  JMKish  SJ The vesicular monoamine transporter, in contrast to the dopamine transporter, is not altered by chronic cocaine self-administration in the rat.  J Neurosci 1996;163507- 3510PubMedGoogle Scholar
28.
Frey  KAKoeppe  RAKilbourn  MR  et al.  Presynaptic monoaminergic vesicles in Parkinson's disease and normal aging.  Ann Neurol 1996;40873- 884PubMedGoogle ScholarCrossref
29.
Koeppe  RAFrey  KAVander Borght  TM  et al.  Kinetic evaluation of [11C]dihydrotetrabenazine by dynamic PET: measurement of vesicular monoamine transporter.  J Cereb Blood Flow Metab 1996;161288- 1299PubMedGoogle ScholarCrossref
30.
Lee  CSSchulzer  MMak  EK  et al.  Clinical observations on the rate of progression of idiopathic parkinsonism.  Brain 1994;117501- 507PubMedGoogle ScholarCrossref
31.
Lee  CSSchulzer  MMak  EHammerstad  JPCalne  SCalne  DB Patterns of asymmetry do not change over the course of idiopathic parkinsonism: implications for pathogenesis.  Neurology 1995;45435- 439PubMedGoogle ScholarCrossref
32.
Morrish  PKSawle  GVBrooks  DJ An [18F]dopa-PET and clinical study of the rate of progression in Parkinson's disease.  Brain 1996;119585- 591PubMedGoogle ScholarCrossref
33.
Gibb  WRGLees  AJ Pathological clues to the cause of Parkinson's disease.  In: Marsden  CD, Fahn  S, eds.  Movement Disorders 3. Oxford, Boston: Butterworth-Heinemann; 1994:147-166Google Scholar
34.
Morrison  BMHof  PRMorrison  JH Determinants of neuronal vulnerability in neurodegenerative diseases.  Ann Neurol 1998;44S32- S44PubMedGoogle ScholarCrossref
35.
Kish  SJShannak  KRajput  ADeck  JHHornykiewicz  O Aging produces a specific pattern of striatal dopamine loss: implications for the etiology of idiopathic Parkinson's disease.  J Neurochem 1992;58642- 648PubMedGoogle ScholarCrossref
36.
Lee  VMGoedert  MTrojanowski  JQ Neurodegenerative tauopathies.  Annu Rev Neurosci 2001;241121- 1159PubMedGoogle ScholarCrossref
37.
Calne  DB Parkinson's disease is not one disease.  Parkinsonism Relat Disord 2000;73- 7PubMedGoogle ScholarCrossref
38.
Dawson  TMDawson  VL Molecular pathways of neurodegeneration in Parkinson's disease.  Science 2003;302819- 822PubMedGoogle ScholarCrossref
Original Contribution
December 2004

Lack of Regional Selectivity During the Progression of Parkinson Disease: Implications for Pathogenesis

Author Affiliations

Author Affiliations: Pacific Parkinson’s Research Centre, Vancouver Hospital & Health Sciences Centre, Vancouver, British Columbia (Drs Lee, Schulzer,de la Fuente-Fernández, Calne, and Stoessl and Mr Mak); and Departments of Statistics (Ms Kuramoto) and Physics and Astronomy (Dr Sossi) and TRIUMF (Dr Ruth), University of British Columbia, Vancouver.

Arch Neurol. 2004;61(12):1920-1925. doi:10.1001/archneur.61.12.1920
Abstract

Background  Dopamine terminal loss in the putamen of patients with Parkinson disease (PD) shows a regional heterogeneity, reflecting selective vulnerability of degenerating neurons to mechanisms of cell death.

Hypothesis  If the same pathogenic mechanisms are responsible for the onset and progression of PD, the regional selectivity of dopamine cell loss will be the same throughout the course of the disorder.

Objective  To investigate the regional selectivity of dopamine terminal loss during the progression of PD.

Participants  We studied 67 patients with PD and 20 healthy subjects using positron emission tomography with [11C](±)dihydrotetrabenazine (DTBZ).

Results  Regional values of DTBZ binding potential (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) against disease duration in the putamen of PD patients were best described by a multivariate exponential model with distinct parallel asymptotic values that were significantly (P<.001) different across 4 regions of the putamen. The extent of loss of DTBZ binding potential with disease progression during the clinical stage of PD (early vs late PD) was similar between the anterior (−33%, using early PD as the baseline) and posterior (−29%) putamen. In contrast, the extent of loss of DTBZ binding potential in early PD, which reflects the cumulated loss of DTBZ binding potential from the onset of the disorder (in healthy subjects vs those with early PD), was significantly (P<.001) lower in the posterior (−58%, using healthy subjects as the baseline) than the anterior (−42%) putamen.

Conclusion  To the extent that DTBZ positron emission tomography provides an accurate estimate of loss of dopamine neurons, our findings suggest that the mechanisms responsible for the progression of PD may not be the same as those responsible for its onset.

Parkinson disease (PD) is a common neurodegenerative disorder in which major pathological findings are dopamine (DA) cell loss in the substantia nigra and Lewy bodies in degenerating neurons. Nigral cell loss in PD shows a consistent pattern of regional selectivity for the caudal and ventrolateral region, leading to greater DA terminal loss in the dorsal and caudal putamen.1,2 This spatial pattern of nigrostriatal cell loss in PD is thought to derive from selective vulnerability to the mechanisms underlying cell death and, thus, could provide clues to pathogenic mechanisms.3

Sporadic PD is generally an acquired disorder that progresses slowly during a protracted period. Mechanisms for the causation and progression of sporadic PD are largely unknown. Prevailing hypotheses include oxidative stress, mitochondrial dysfunction, inflammation, excitotoxicity, abnormal protein accumulation, and apoptosis.4-9 The problem with these hypotheses, however, is that they are not specific to PD; they cannot account for the regional selectivity of cell loss in PD. For instance, mitochondrial dysfunction, oxidative stress, accumulated protein, apoptosis, and inflammation are involved in the cell death associated with other neurodegenerative disorders, such as Alzheimer disease and amyotrophic lateral sclerosis.10-14 Mitochondrial dysfunction, oxidative stress, apoptosis, and inflammation have been proposed as pathogenic mechanisms for N-methyl-4-phenyl-1,2,3,6-tetrahydropyridine–induced parkinsonism,15-17 yet this condition displays a different spatial pattern of nigral cell loss from PD.18,19 Moreover, oxidative stress and mitochondrial dysfunction may be involved in age-related neuronal attrition.20

It is not clear whether the causative factors for the onset of PD also determine its progression. Thus, the same pathogenic mechanisms may cause the onset and progression of the disease. Alternatively, a transient event could cause PD and trigger secondary degenerative mechanisms responsible for prolonged progression. These kinetics of cell death have been illustrated by N-methyl-4-phenyl-1,2,3,6-tetrahydropyridine– induced parkinsonism.17,21

We hypothesize that if the same mechanisms are responsible for the onset and progression of PD, the regional selectivity of DA cell loss will be the same throughout the course of the disorder. Conversely, if the progression of PD were mediated by secondary degenerative mechanisms triggered by the primary causative factor, the regional selectivity of progressive DA cell loss resulting from the secondary mechanisms may differ from that associated with the primary causative factor. In this study, we investigated the regional selectivity of DA terminal loss in the putamen of PD patients with disease progression using positron emission tomography (PET).

Methods

Sixty-seven patients with clinically definite PD were recruited from the Movement Disorders Clinic at the University of British Columbia according to the criteria by Calne et al.22 Patients were selected to represent a uniform distribution of symptom duration. Twenty age-matched healthy volunteers were included for the control group. The Table summarizes the clinical characteristics of subjects in the study. PET scans were performed using [11C](±)dihydrotetrabenazine (DTBZ), a ligand for the central vesicular monoamine transporter, in 3-dimensional mode (ECAT 953B/31 tomograph; CTI/Siemens, Knoxville, Tenn). On the scanning day, the subjects were off antiparkinsonian medications for at least 12 hours before PET.23 The scanning procedure, data processing, and the method of image analysis are described elsewhere.24 The binding potential (BP) (calculated as maximum specific binding [Bmax] divided by the equilibrium dissociation constant Kd) of DTBZ was obtained from the distribution-volume ratio by subtracting 1. The study was approved by the University of British Columbia Clinical Research Ethics Committee.

To explore dynamic changes in the spatial pattern of DA terminal loss with disease progression during the clinical stage, DTBZ BP values in the 4 regions of the putamen (anterior and posterior putamen on the less and more affected sides) were regressed against symptom duration. Caudate data exhibited a large degree of variability, especially at longer durations, thus overshadowing any underlying systematic patterns of decline, possibly due in part to partial volume effects. In addition, it would be more meaningful if the kinetics of cell death were compared between cell groups in the same anatomical structure. Therefore, we included only the putamen data in this statistical analysis. We fitted jointly, for the 4 regions, a multivariate set of exponential functions of the following form:

× exp(−bt) + c,

where t represented symptom duration in years; and a, b, and c were constants to be estimated for each region. Because of the high correlations of the PET measurements between regions within patients, univariate exponential analyses (a separate analysis of the exponential curve at each region) were inappropriate. This multivariate approach took advantage of this correlation between the measurements in different regions within patients, thus greatly increasing the precision of the analysis. Statistical analysis was performed to estimate the 3 constants in each region, to test the goodness of fit of the multivariate exponential model, and to compare the asymptotic values of the different curves between regions using special techniques of multivariate nonlinear regression.25 To test potential confounding “floor effects,” the data were reanalyzed with the lowest 5% and 10% of the measurements trimmed.

To compare dynamic changes in the spatial pattern of DA terminal loss during the course of PD, patients with PD were divided into 4 groups based on the duration of symptoms: PD1 (early PD), PD2, PD3, and PD4 (late PD) (Table). The anteroposterior gradient of DTBZ BP in the putamen was obtained by subtracting DTBZ BP of the posterior putamen (averaged over the 2 sides) from the corresponding values of the anterior putamen. The spatial pattern of DA terminal loss in the putamen that occurred during the subclinical stage from the onset of PD was estimated by comparing the anteroposterior gradient of DTBZ BP in the putamen between the healthy subjects and the early PD group (PD1) using a 2-way analysis of variance. The spatial pattern of DA terminal loss in the putamen with disease progression during the clinical stage was estimated by examining the anteroposterior gradient across the 4 duration groups of PD, using similar techniques.

The anteroposterior gradient was regressed on DTBZ and duration to rule out confounding effects of selection bias by disease severity on the dynamic changes in anteroposterior gradient with disease progression. Statistical significance was set at P<.05.

Results

Figure 1 shows the scatterplots of DTBZ BP against symptom duration in 4 regions of the putamen. Figure 2 shows multivariate exponential curves that best fitted the data in each of the 4 regions analyzed (anterior and posterior putamen on the less and more affected sides). Goodness-of-fit P values ranged from .89 to .99 (high P values indicate good fit). The multivariate exponential model provided a significantly better fit than a multivariate linear model (P = .03). Reanalyses using data with the lowest 5% and 10% trimmed to compensate for potential floor effects did not change the results significantly.

The exponential decline of DTBZ BP over time occurred at roughly similar rates across 4 regions of the putamen (Figure 2). After 10 to 15 years, the DTBZ BP in all 4 curves leveled off to constant values. The constant c, which estimates the asymptotic values of these curves, was highly significant in each of the 4 exponential functions, and showed a significant difference between the anterior and posterior putamen and between the less and more affected sides.

Comparison of DTBZ BP in the putamen between the healthy and PD1 (early PD) groups showed a significant anteroposterior gradient across the putamen in the PD1 group (P<.001), leading to a significant interaction between region (anterior vs posterior putamen) and diagnosis (healthy subjects vs PD1 group) (P<.001) (Figure 3). In contrast, the spatial pattern of DA terminal loss that occurred during the clinical stage and was estimated by comparing the anteroposterior gradient of DTBZ BP in the putamen across 4 duration groups of PD showed no significant (P=.17) interaction between the region and duration groups (Figure 3). This finding is in keeping with distinct parallel asymptotic values in the multivariate exponential model (Figure 2). Therefore, the extent of loss of DTBZ BP with disease progression during the clinical stage of PD (early vs late PD) was similar between the anterior (−33%, using early PD as the baseline) and posterior (−29%) putamen. In contrast, the extent of loss of DTBZ BP in early PD, which reflects the cumulated loss of DTBZ BP from the onset of the disorder (healthy subjects vs early PD group), was significantly (P<.001) lower in the posterior (−58%, using healthy subjects as the baseline) than anterior (−42%) putamen.

Multiple regression of the anteroposterior gradient in all PD cases on symptom duration and putaminal DTBZ BP did not show significant (P=.18) correlation between the former and the latter 2 variables.

Comment

The major finding in this study is the absence of a significant interaction between duration and anteroposterior gradient of DTBZ BP in the putamen of PD patients.

We have chosen DTBZ as a marker for DA terminal density, which is known to be less subject to regulatory changes.26,27 Although the racemic mixture of DTBZ used in this study yields less specific binding and, hence, smaller dynamic range than the active isomer,28,29 we were able to detect significant differences across duration and regions, with acceptable variance in our measures at all durations of disease.

Our findings of no significant interaction between duration and anteroposterior gradient of DTBZ BP in the putamen of PD patients could be affected by a potential floor effect in the measurements because it would reduce the anteroposterior gradient in late PD. However, the curvilinear decline of DTBZ BP stabilized at different levels in each putamen region in late PD without a tendency to converge. Furthermore, a reanalysis of the data with the lowest 5% and 10% of measured values trimmed showed similar results. These findings suggest that a floor effect is not likely to play a significant role in accounting for this lack of interaction between duration and the anteroposterior gradient.

Our cross-sectional data may be confounded by a selection bias; in particular, severe PD cases might have been underrepresented in the longer-duration group because of their greater mortality and morbidity. However, multiple regression of the anteroposterior gradient on duration and DTBZ BP in the putamen did not show a significant correlation. This lack of a significant correlation between the anteroposterior gradient and DTBZ BP indicates that the selection bias by disease severity is not likely to play a part in our findings.

Our results are consistent with observations from clinical studies that have shown a curvilinear course of progression2,30 and persistent asymmetry with disease progression.31 Our findings are also consistent with observations from PET and postmortem studies that show marked regional selectivity of DA cell loss in advanced PD: surviving DA terminals up to 70% of the normal [18F] dopa uptake rate constant in the ventrorostral putamen32 and surviving nigral neurons up to nearly a quarter of the normal cell count.33 Therefore, we believe that our findings of no significant interaction between duration and anteroposterior gradient of DTBZ BP in the putamen of PD patients are likely to reflect a true biological phenomenon.

Our data suggest that the anteroposterior gradient of DA terminal loss in the putamen of PD patients may not change significantly with disease progression. It has been proposed that the spatial pattern of nigrostriatal cell loss in PD reflects the selective vulnerability of affected cells to mechanisms of cell death.34 Thus, the different spatial pattern of nigrostriatal cell loss between normal aging and PD has been used as evidence for the view that the aging process is not the mechanism responsible for the progression in PD.2,35 By analogy, our observations may be construed as evidence that the mechanisms responsible for DA terminal loss in early PD (in which there is an anteroposterior gradient within the putamen) may not be the same as those responsible for disease progression. If both mechanisms were identical, the dynamic changes in the spatial pattern of DA terminal loss during the clinical stage would have conformed to the anteroposterior gradient of DA terminal loss in early PD, which reflects the spatial pattern of cumulated DA terminal loss from the onset of the disorder. We did not find such a tendency. Our findings, therefore, are more consistent with the view that the pathogenic mechanisms responsible for the ongoing progression of PD may not be the same as the causative mechanisms responsible for the onset of PD.

This concept of biphasic mechanisms of cell death—the onset of PD due to some causative factors, followed by ongoing progression due to secondary degenerative mechanisms—is compatible with experimental evidence showing that the ongoing cell death in PD is mediated by nonspecific pathogenic mechanisms that are also proposed for other neurodegenerative disorders.10-14 This predicts that the mechanisms responsible for ongoing cell death in PD are not necessarily identical to those determining the cell type– and region-specific selective vulnerability of the disorder.36

Although this line of thought is consistent with the current concept of mechanisms of cell death in PD, the limitations of cross-sectional data make it difficult to draw firm conclusions. Furthermore, there has been growing evidence that PD may be a heterogeneous group of disorders37 in which multiple mechanisms of cell death may work in concert.38 The kinetics of temporal and spatial progression in PD may not necessarily be uniform among proposed mechanisms of cell death and, hence, not uniform across all PD cases. Acknowledging these limitations in the present study, we cautiously conclude that our observations are consistent with the view that the natural history of PD may reflect a biphasic kinetic model: the initial causative factor is responsible for the selective pathological features of PD, and subsequent nonspecific pathogenic mechanisms are responsible for ongoing cell death. Further investigations with serial observations and the addition of pathological data are required to overcome the limitations of the present study.

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Article Information

Correspondence: Chong S. Lee, MD, FRCPC, Pacific Parkinson’s Research Centre, Vancouver Hospital & Health Sciences Centre, 2221 Wesbrook Mall, Purdy Pavilion, Room M36, Vancouver, British Columbia, Canada V6T 2B5 (cslee@interchange.ubc.ca).

Accepted for Publication: June 3, 2004.

Author Contributions:Study concept and design: Lee, Schulzer, and Calne. Acquisition of data: Lee, Sossi, Ruth, Stoessl, and Calne. Analysis and interpretation of data: Lee, Schulzer, de la Fuente-Fernández, Mak, and Kuramoto. Drafting of the manuscript: Lee. Critical revision of the manuscript for important intellectual content: Lee, Schulzer, and Stoessl. Statistical analysis: Lee, Schulzer, Mak, and Kuramoto. Obtained funding: Lee, Ruth, Calne, and Stoessl.Administrative, technical, and material support: Sossi, Ruth, and Stoessl. Study supervision: Lee, Ruth, Calne, and Stoessl.

Funding/Support: This study was supported by grants from the Canadian Institutes for Health Research; by the Parkinson Society of British Columbia (Dr Schulzer); by the National Sciences and Engineering Research Council of Canada (Dr Sossi); by the Michael Smith Foundation for Health Research (Drs Lee and Sossi); by the Pacific Parkinson’s Research Institute (Dr Calne); and by the Canada Research Chairs program, Ottawa (Dr Stoessl). Dr Lee is a Michael Smith Foundation for Health Research Senior Scholar.

Acknowledgment: We thank TRIUMF for support; Jess McKenzie for assisting with the scanning and Susan Calne, RN, for assisting with the preparation of the manuscript.

References
1.
Kish  SJShannak  KHornykiewicz  O Uneven pattern of dopamine loss in the striatum of patients with idiopathic Parkinson's disease: pathophysiologic and clinical implications.  N Engl J Med 1988;318876- 880PubMedGoogle ScholarCrossref
2.
Fearnley  JMLees  AJ Ageing and Parkinson's disease: substantia nigra regional selectivity.  Brain 1991;1142283- 2301PubMedGoogle ScholarCrossref
3.
Saper  CB “Like a thief in the night”: the selectivity of degeneration in Parkinson's disease.  Brain 1999;1221401- 1402PubMedGoogle ScholarCrossref
4.
McGeer  PLItagaki  SAkiyama  HMcGeer  EG Rate of cell death in parkinsonism indicates active neuropathological process.  Ann Neurol 1988;24574- 576PubMedGoogle ScholarCrossref
5.
Jenner  PDexter  DTSian  JSchapira  AHMarsden  CDRoyal Kings and Queens Parkinson's Disease Research Group, Oxidative stress as a cause of nigral cell death in Parkinson's disease and incidental Lewy body disease.  Ann Neurol 1992;32(suppl)S82- S87PubMedGoogle ScholarCrossref
6.
Schapira  AHGu  MTaanman  JW  et al.  Mitochondria in the etiology and pathogenesis of Parkinson's disease.  Ann Neurol 1998;44(suppl)S89- S98PubMedGoogle ScholarCrossref
7.
Tatton  WGChalmers-Redman  RBrown  DTatton  N Apoptosis in Parkinson's disease: signals for neuronal degradation.  Ann Neurol 2003;53(suppl 3)S61- S70PubMedGoogle ScholarCrossref
8.
McNaught  KSBelizaire  RIsacson  OJenner  POlanow  CW Altered proteasomal function in sporadic Parkinson's disease.  Exp Neurol 2003;17938- 46PubMedGoogle ScholarCrossref
9.
Teismann  PTieu  KChoi  DK  et al.  Cyclooxygenase-2 is instrumental in Parkinson's disease neurodegeneration.  Proc Natl Acad Sci U S A 2003;1005473- 5478PubMedGoogle ScholarCrossref
10.
Beal  MF Aging, energy, and oxidative stress in neurodegenerative diseases.  Ann Neurol 1995;38357- 366PubMedGoogle ScholarCrossref
11.
McGeer  PLMcGeer  EG The inflammatory response system of brain: implications for therapy of Alzheimer and other neurodegenerative diseases.  Brain Res Brain Res Rev 1995;21195- 218PubMedGoogle ScholarCrossref
12.
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