Relação entre a doença de Parkinson e o gene LRRK2: um estudo na população brasileira

A doença de Parkinson (DP) é a segunda doença neurodegenerativa mais frequente depois da Doença de Alzheimer, afetando aproximadamente 1% da população com idade superior a 65 anos. Clinicamente, esta doença caracteriza-se pela presença de tremor em repouso, bradicinesia, rigidez muscular e instabilidade postural, os quais podem ser controlados com a administração do levodopa. As características patológicas da DP incluem a despigmentação da substância nigra devido à perda dos neurônios dopaminérgicos e a presença de inclusões proteicas denominadas corpos de Lewy nos neurônios sobreviventes. As vias moleculares envolvidas com esta patologia ainda são obscuras, porém a DP é uma doença complexa, resultante da interação entre fatores ambientais e causas genéticas. Mutações no gene leucine-rich repeat kinase 2 (LRRK2; OMIM 609007) constituem a forma mais comum de DP. Este gene codifica uma proteína, membro da família de proteínas ROCO, que possui, entre outros domínios, dois domínios funcionais GTPase (ROC) e quinase (MAPKKK). Neste estudo, os principais domínios do gene LRRK2 foram analisados em 204 pacientes brasileiros com DP por meio de sequenciamento dos produtos da PCR. Através da análise de 14 exons correspondentes aos domínios ROC, COR e MAPKKK foram identificadas 31 variantes. As alterações novas, p.C1770R e p.C2139S, possuem um potencial papel na etiologia da DP. Três alterações exônicas (p.R1398R, p.T1410M e p.Y2189C) e nove intrônicas (c.4317+16C>T, c.5317+59A>C, c.5509+20A>C, c.5509+52T>C, c.5509+122A>G, c.5657-46C>T, c.6382-36G>A, c.6382-37C>T e c.6576+44T>C) são potencialmente não patogênicas. Ao todo, dezessete variantes exônicas e intrônicas constituem polimorfismos já relatados na literatura (p.R1398H, p.K1423K, p.R1514Q, p.P1542S, c.4828-31T>C, p.G1624G, p.K1637K, p.M1646T, p.S1647T, c.5015+32A>G, c.5170+23T>A, c.5317+32C>T, p.G1819G, c.5948+48C>T, p.N2081D, p.E2108E e c.6381+30A>G). A frequência total de alterações potencialmente patogênicas ou patogênicas detectadas em nossa amostra foi de 3,4% (incluindo a mutação p.G2019S, anteriormente descrita em 2 artigos publicados por nosso grupo: Pimentel et al., 2008; Abdalla-Carvalho et al., 2010), sendo a frequência de mutações nos casos familiares (11,1%) cerca de seis vezes maior do que a encontrada nos casos isolados da DP (1,8%). Os resultados alcançados neste estudo revelam que mutações no gene LRRK2 desempenham um papel significativo como fator genético para o desenvolvimento da DP em pacientes brasileiros.

The role of GRK6 in animal models of Parkinson's disease and L-DOPA treatment.

G protein-coupled Receptor Kinase 6 (GRK6) belongs to a family of kinases that phosphorylate GPCRs. GRK6 levels were found to be altered in Parkinson's Disease (PD) and D(2) dopamine receptors are supersensitive in mice lacking GRK6 (GRK6-KO mice). To understand how GRK6 modulates the behavioral manifestations of dopamine deficiency and responses to L-DOPA, we used three approaches to model PD in GRK6-KO mice: 1) the cataleptic response to haloperidol; 2) introducing GRK6 mutation to an acute model of absolute dopamine deficiency, DDD mice; 3) hemiparkinsonian 6-OHDA model. Furthermore, dopamine-related striatal signaling was analyzed by assessing the phosphorylation of AKT/GSK3β and ERK1/2. GRK6 deficiency reduced cataleptic behavior, potentiated the acute effect of L-DOPA in DDD mice, reduced rotational behavior in hemi-parkinsonian mice, and reduced abnormal involuntary movements induced by chronic L-DOPA. These data indicate that approaches to regulate GRK6 activity could be useful in modulating both therapeutic and side-effects of L-DOPA.

Perry Syndrome

Disease characteristics. Perry syndrome is characterized by parkinsonism, hypoventilation, depression, and weight loss. The mean age at onset is 48 years; the mean disease duration is five years. Parkinsonism and psychiatric changes (depression, apathy, character changes, and withdrawal) tend to occur early; severe weight loss and hypoventilation manifest later. Diagnosis/testing. The diagnosis is based on clinical findings and molecular genetic testing of DCTN1, the only gene known to be associated with Perry syndrome. Management. Treatment of manifestations: Dopaminergic therapy (particularly levodopa/carbidopa) should be considered in all individuals with significant parkinsonism. Although response to levodopa is often poor, some individuals may have long-term benefit. Noninvasive or invasive ventilation support may improve quality of life and prolong life expectancy. Those patients with psychiatric manifestations may benefit from antidepressants and psychiatric care. Weight loss is managed with appropriate dietary changes. Surveillance: routine evaluation of weight and calorie intake, respiratory function (particularly at night or during sleep), strength; and mood. Agents/circumstances to avoid: Central respiratory depressants (e.g., benzodiazepines, alcohol). Genetic counseling. Perry syndrome is inherited in an autosomal dominant manner. The proportion of cases attributed to de novo mutations is unknown. Each child of an individual with Perry syndrome has a 50% chance of inheriting the mutation. No laboratories offering molecular genetic testing for prenatal diagnosis are listed in the GeneTests Laboratory Directory; however, prenatal testing may be available through laboratories offering custom prenatal testing for families in which the disease-causing mutation has been identified.

Study of a Swiss dopa-responsive dystonia family with a deletion in GCH1: redefining DYT14 as DYT5.

OBJECTIVE: To report the study of a multigenerational Swiss family with dopa-responsive dystonia (DRD). METHODS: Clinical investigation was made of available family members, including historical and chart reviews. Subject examinations were video recorded. Genetic analysis included a genome-wide linkage study with microsatellite markers (STR), GTP cyclohydrolase I (GCH1) gene sequencing, and dosage analysis. RESULTS: We evaluated 32 individuals, of whom 6 were clinically diagnosed with DRD, with childhood-onset progressive foot dystonia, later generalizing, followed by parkinsonism in the two older patients. The response to levodopa was very good. Two additional patients had late onset dopa-responsive parkinsonism. Three other subjects had DRD symptoms on historical grounds. We found suggestive linkage to the previously reported DYT14 locus, which excluded GCH1. However, further study with more stringent criteria for disease status attribution showed linkage to a larger region, which included GCH1. No mutation was found in GCH1 by gene sequencing but dosage methods identified a novel heterozygous deletion of exons 3 to 6 of GCH1. The mutation was found in seven subjects. One of the patients with dystonia represented a phenocopy. CONCLUSIONS: This study rules out the previously reported DYT14 locus as a cause of disease, as a novel multiexonic deletion was identified in GCH1. This work highlights the necessity of an accurate clinical diagnosis in linkage studies as well as the need for appropriate allele frequencies, penetrance, and phenocopy estimates. Comprehensive sequencing and dosage analysis of known genes is recommended prior to genome-wide linkage analysis.

La lévodopa est-elle néfaste pour la cognition dans la maladie de Parkinson? : étude pilote

Introduction et objectifs : Alors que l'effet moteur de la lévodopa (L-dopa) dans la maladie de Parkinson (MP) est clair et établi, son effet sur la cognition demeure incertain. Les troubles cognitifs ont un impact important sur la qualité de vie et les études évaluant l'effet cognitif de ce médicament donnent des résultats encore divergents. L’objectif primaire de cette étude pilote est d’observer l’impact des doses cliniques de lévodopa sur la cognition. Un second objectif sera d'établir une courbe dose-réponse pour observer les différences potentielles. Méthodes : Cinq patients avec MP ont été évalués à l’aide de 2 tests cognitifs (CPT-II et Stroop) et 2 tests moteurs (Finger Tapping et UPDRS-III) en OFF (sevrage minimal de 12 heures) et en ON avec des doses croissantes de lévodopa (commençant à 50mg avec une augmentation de dose de 50mg par visite) jusqu’à l'observation d'une performance cognitive optimale ou d'effets secondaires. Une administration répétée des tests cognitifs a été faite à la première visite pour limiter l’effet d’apprentissage. Résultats : Le temps de réaction (RT) mesuré en millisecondes au CPT-II a augmenté (médiane 3.03%) après la prise de médicament alors que les erreurs ont légèrement diminué (médiane -9.92%). Au Stroop, l’effet d’interférence évalué selon les changements au temps d’inhibition mesuré en secondes était légèrement moindre sans changement dans les erreurs. Avec les doses prescrites, le RT a augmenté de 3,50% et le nombre d’erreurs est resté stable alors que les doses inférieures ont eu une moindre augmentation du RT tout en diminuant les erreurs. Dans le Stroop, les doses faibles ont amélioré le temps de près de 19% alors que les doses prescrites ont quant à elles diminué les erreurs. Malgré une certaine variabilité, la courbe dose-réponse indique que les erreurs diminuaient aux doses faibles et fortes dans le CPT-II alors que le RT augmentait généralement, ce qui pourrait indiquer un style de performance plus prudent. L’effet de la lévodopa sur l’interférence dans le Stroop variait légèrement sans tendances fixes mis à part le bénéfice observé par les doses faibles. Une importante variabilité a été observée dans les évaluations motrices entre les sujets ainsi qu'au sein du même sujet. Conclusion : Ces résultats indiquent qu’en général, le médicament ne semble pas avoir d’effet néfaste important sur l’attention et les fonctions exécutives évaluées auprès de ce groupe de patients parkinsoniens. L'effet cognitif des doses plus faibles semble leur être bénéfique et meilleur que les doses cliniquement prescrites. La relation dose-réponse démontre un effet cognitif variable de la lévodopa entre les doses, n'indiquant toutefois pas de tendances claires.

Estimulacion magnetica trascraneal en el desempeno motor en enfermedades del sistema nervioso central: Revision Sistematica

Introducción: El uso de la estimulación cerebral no invasiva en procesos de rehabilitación es de gran interés, por cuanto con mediación tecnológica se generan nuevas posibilidades de recuperación motora, a partir de la activación de la corteza cerebral. El objetivo del estudio es establecer la evidencia del uso terapéutico de la EMT, relacionado con el desempeño motor de pacientes con enfermedades del sistema nervioso central. Metodología: Se realizó una revisión sistemática de la literatura. Se incluyeron 10 estudios en el análisis cualitativo que incluyó la evaluación de calidad con la escala de Jadad y del riesgo de sesgo con la herramienta Cochrane. Fueron excluidos 1613 estudios. Se aplicó el protocolo del estudio para la extracción, revisión y validez de los estudios incluidos. Resultados: La evidencia disponible muestra resultados positivos del uso terapéutico de la EMT en el desempeño motor en aspectos como la aceleración, la fuerza de pinza y de agarre, la estabilidad y la fuerza muscular, así como una mejor velocidad de la marcha y una disminución en la frecuencia y severidad de los espasmos. Discusión: La EMT puede constituir una estrategia terapéutica para mejorar el desempeño motor en pacientes con ECV, Lesión Medular y enfermedad de Parkinson, que requiere más investigación por la heterogeneidad de los diseños y medidas de descenlace utilizados, así como por la alta variabilidad interindividual que hace complejo estandarizar los protocolos de su uso terapéutico.

Distinct clinical and neuropathological features of G51D SNCA mutation cases compared with SNCA duplication and H50Q mutation

Background: We and others have described the neurodegenerative disorder caused by G51D SNCA mutation which shares characteristics of Parkinson’s disease (PD) and multiple system atrophy (MSA). The objective of this investigation was to extend the description of the clinical and neuropathological hallmarks of G51D mutant SNCA-associated disease by the study of two additional cases from a further G51D SNCA kindred and to compare the features of this group with a SNCA duplication case and a H50Q SNCA mutation case. Results: All three G51D patients were clinically characterised by parkinsonism, dementia, visual hallucinations, autonomic dysfunction and pyramidal signs with variable age at disease onset and levodopa response. The H50Q SNCA mutation case had a clinical picture that mimicked late-onset idiopathic PD with a good and sustained levodopa response. The SNCA duplication case presented with a clinical phenotype of frontotemporal dementia with marked behavioural changes, pyramidal signs, postural hypotension and transiently levodopa responsive parkinsonism. Detailed post-mortem neuropathological analysis was performed in all cases. All three G51D cases had abundant α-synuclein pathology with characteristics of both PD and MSA. These included widespread cortical and subcortical neuronal α-synuclein inclusions together with small numbers of inclusions resembling glial cytoplasmic inclusions (GCIs) in oligodendrocytes. In contrast the H50Q and SNCA duplication cases, had α-synuclein pathology resembling idiopathic PD without GCIs. Phosphorylated α-synuclein was present in all inclusions types in G51D cases but was more restricted in SNCA duplication and H50Q mutation. Inclusions were also immunoreactive for the 5G4 antibody indicating their highly aggregated and likely fibrillar state. Conclusions: Our characterisation of the clinical and neuropathological features of the present small series of G51D SNCA mutation cases should aid the recognition of this clinico-pathological entity. The neuropathological features of these cases consistently share characteristics of PD and MSA and are distinct from PD patients carrying the H50Q or SNCA duplication.

Electroanalytical Method for the Analysis of Methyldopa In Pharmaceutical Tablets Using a Crude Extract of Laccase from Pycnoporus sanguineus as Oxidizing Agent

Several colorimetric and chromatographic methods have been used for the identification and quantification of methyldopa (MA) in pharmaceutical formulations and clinical samples. However, these methods are time- and reagent-consuming, which stimulated our efforts to develop a simple, fast, and low-cost alternative method. We carried out an electroanalytical method for the determination of MA in pharmaceutical formulations using the crude enzymatic extract of laccase from Pycnoporus sanguineus as oxidizing agent. This method is based on the biochemical oxidation of MA by laccase (LAC), both in solution, followed by electrochemical reduction on glassy carbon electrode surface. This method was employed for the determination of MA in pure and pharmaceutical formulations and compared with the results obtained using the official method. A wide linear curve from 23 x 10(-5) to 1 x 10(-4) mol L(-1) was found with a detection limit calculated from 43 x 10(-6) mol L(-1).

Optimised dose titration for Duodopatreatment based on simulation experiments– implementation in a decision supportsystem

The aim of this work was to design a set of rules for levodopa infusion dose adjustment in Parkinson’s disease based on a simulation experiments. Using this simulator, optimal infusions dose in different conditions were calculated. There are seven conditions (-3 to +3)appearing in a rating scale for Parkinson’s disease patients. By finding mean of the differences between conditions and optimal dose, two sets of rules were designed. The set of rules was optimized by several testing. Usefulness for optimizing the titration procedure of new infusion patients based on rule-based reasoning was investigated. Results show that both of the number of the steps and the errors for finding optimal dose was shorten by new rules. At last, the dose predicted with new rules well on each single occasion of majority of patients in simulation experiments.

Speech Assessment for the Classification of Hypokinetic Dysthria in Parkinson Disease

The aim of this thesis is to investigate computerized voice assessment methods to classify between the normal and Dysarthric speech signals. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of inter-stress intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. Band pass filter has been used for the preprocessing of speech samples. Speech segmentation is performed using signal energy and spectral centroid to separate voiced and unvoiced areas in speech signal. Acoustic features are extracted from the LPC model and speech segments from each audio signal to find the anomalies. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), and Shimmer (APQ). Naïve Bayes (NB) has been used for speech classification. For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB. The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale.

A fuzzy rule-based decision support system for Duodopa treatment in Parkinson

A decision support system (DSS) was implemented based on a fuzzy logic inference system (FIS) to provide assistance in dose alteration of Duodopa infusion in patients with advanced Parkinson’s disease, using data from motor state assessments and dosage. Three-tier architecture with an object oriented approach was used. The DSS has a web enabled graphical user interface that presents alerts indicating non optimal dosage and states, new recommendations, namely typical advice with typical dose and statistical measurements. One data set was used for design and tuning of the FIS and another data set was used for evaluating performance compared with actual given dose. Overall goodness-of-fit for the new patients (design data) was 0.65 and for the ongoing patients (evaluation data) 0.98. User evaluation is now ongoing. The system could work as an assistant to clinical staff for Duodopa treatment in advanced Parkinson’s disease.

Computerized identification of motor complications in Parkinson's disease

Objective: To investigate whether spirography-based objective measures are able to effectively characterize the severity of unwanted symptom states (Off and dyskinesia) and discriminate them from motor state of healthy elderly subjects. Background: Sixty-five patients with advanced Parkinson’s disease (PD) and 10 healthy elderly (HE) subjects performed repeated assessments of spirography, using a touch screen telemetry device in their home environments. On inclusion, the patients were either treated with levodopa-carbidopa intestinal gel or were candidates for switching to this treatment. On each test occasion, the subjects were asked trace a pre-drawn Archimedes spiral shown on the screen, using an ergonomic pen stylus. The test was repeated three times and was performed using dominant hand. A clinician used a web interface which animated the spiral drawings, allowing him to observe different kinematic features, like accelerations and spatial changes, during the drawing process and to rate different motor impairments. Initially, the motor impairments of drawing speed, irregularity and hesitation were rated on a 0 (normal) to 4 (extremely severe) scales followed by marking the momentary motor state of the patient into 2 categories that is Off and Dyskinesia. A sample of spirals drawn by HE subjects was randomly selected and used in subsequent analysis. Methods: The raw spiral data, consisting of stylus position and timestamp, were processed using time series analysis techniques like discrete wavelet transform, approximate entropy and dynamic time warping in order to extract 13 quantitative measures for representing meaningful motor impairment information. A principal component analysis (PCA) was used to reduce the dimensions of the quantitative measures into 4 principal components (PC). In order to classify the motor states into 3 categories that is Off, HE and dyskinesia, a logistic regression model was used as a classifier to map the 4 PCs to the corresponding clinically assigned motor state categories. A stratified 10-fold cross-validation (also known as rotation estimation) was applied to assess the generalization ability of the logistic regression classifier to future independent data sets. To investigate mean differences of the 4 PCs across the three categories, a one-way ANOVA test followed by Tukey multiple comparisons was used. Results: The agreements between computed and clinician ratings were very good with a weighted area under the receiver operating characteristic curve (AUC) coefficient of 0.91. The mean PC scores were different across the three motor state categories, only at different levels. The first 2 PCs were good at discriminating between the motor states whereas the PC3 was good at discriminating between HE subjects and PD patients. The mean scores of PC4 showed a trend across the three states but without significant differences. The Spearman’s rank correlations between the first 2 PCs and clinically assessed motor impairments were as follows: drawing speed (PC1, 0.34; PC2, 0.83), irregularity (PC1, 0.17; PC2, 0.17), and hesitation (PC1, 0.27; PC2, 0.77). Conclusions: These findings suggest that spirography-based objective measures are valid measures of spatial- and time-dependent deficits and can be used to distinguish drug-related motor dysfunctions between Off and dyskinesia in PD. These measures can be potentially useful during clinical evaluation of individualized drug-related complications such as over- and under-medications thus maximizing the amount of time the patients spend in the On state.

Spiral drawing during self-rated dyskinesia is more impaired than during self-rated off

Background: A mobile device test battery, consisting of a patient diary collection section with disease-related questions and a fine motor test section (including spiral drawing tasks), was used by 65 patients with advanced Parkinson's disease (PD)(treated with intraduodenal levodopa/carbidopa gel infusion, Duodopa®, or candidates for this treatment) on 10439 test occasions in their home environments. On each occasion, patients traced three pre-drawn Archimedes spirals using an ergonomic stylus and self-assessed their motor function on a global Treatment Response Scale (TRS) ranging from -3 = very 'off' to 0 = 'on' to +3 = very dyskinetic. The spirals were processed by a computer-based method that generates a "spiral score" representing the PD-related drawing impairment. The scale for the score was based on a modified Bain & Findley rating scale in the range from 0 = no impairment to 5 = moderate impairment to 10 = extremely severe impairment. Objective: To analyze the test battery data for the purpose to find differences in spiral drawing performance of PD patients in relation to their self-assessments of motor function. Methods: Three motor states were used in the analysis; OFF state (including moderate and very 'off'), ON state ('on') and a dyskinetic (DYS) state (moderate and very dyskinetic). In order to avoid the problem of multiple test occasions per patient, 200 random samples of single test occasions per patient were drawn. One-way analysis of variance, ANOVA, test followed by Tukey multiple comparisons test was used to test if mean values of spiral test parameters, i.e. the spiral score and drawing completion times (in seconds), were different among the three motor states. Statistical significance was set at p<0.05. To investigate changes in the spiral score over the time-of-day test sessions for the three motor states, plots of statistical summaries were inspected. Results: The mean spiral score differed significantly across the three self-assessed motor states (p<0.001, ANOVA test). Tukey post-hoc comparisons indicate that the mean spiral score (mean ± SD; [95% CI for mean]) in DYS state (5.2 ± 1.8; [5.12, 5.28]) was higher than the mean spiral score in OFF (4.3 ± 1.7; [4.22, 4.37]) and ON (4.2 ± 1.7; [4.17, 4.29]) states. The mean spiral score was also significantly different among individual TRS values of slightly 'off' (4.02 ± 1.63), 'on' (4.07 ± 1.65) and slightly dyskinetic (4.6 ± 1.71), (p<0.001). There were no differences in drawing completion times among the three motor states (p=0.509). In the OFF and ON states, patients drew slightly more impaired spirals in the afternoon whereas in the DYS state the spiral drawing performance was more impaired in the morning. Conclusion: It was found that when patients considered themselves as being dyskinetic spiral drawing was more impaired (nearly one unit change in a 0-10 scale) compared to when they considered themselves as being 'off' and 'on'. The spiral drawing at patients that self-assessed their motor state as dyskinetic was slightly more impaired in the morning hours, between 8 and 12 o'clock, a situation possibly caused by the morning dose effect.