Novel compound heterozygous FBXO7 mutations in a family with early onset Parkinson's disease.

BACKGROUND: Mutations in the F-box protein 7 (FBXO7) gene result in autosomal recessive parkinsonism. This usually manifests as early-onset parkinsonian-pyramidal syndrome but patients exhibit high phenotypic variability. Here we describe the findings of a Yemeni family with two novel FBXO7 mutations. METHODS: Clinical data and DNA were available for three siblings with early-onset parkinsonism together with their parents and three unaffected siblings. A targeted next generation sequencing panel was used to screen the proband for mutations in 14 genes known to cause a parkinsonian disorder. In addition, SNCA, PARK2, PINK1, and PARK7 were screened for copy number variants. RESULTS: The proband carried two novel compound heterozygous FBXO7 mutations: a missense mutation in exon 1 (p.G39R; c.115G > A) and a frameshift mutation in exon 5 (p.L280fs; c.838del). The mutations segregated with disease in the family with the exception of a potentially pre-symptomatic individual whose age was below the age of onset in two of their three affected siblings. P.G39R occurred at a highly conserved amino acid residue and both mutations were predicted to be deleterious in silico. In contrast to most reported families, the phenotype in this pedigree was consistent with clinically typical Parkinson's disease (PD) with a lack of pyramidal signs and good response to dopaminergic therapy. CONCLUSIONS: Our study expands the phenotype associated with FBXO7 to include early-onset PD and broadens the list of causative mutations. These data suggest that FBXO7 should be included in clinical genetic testing panels for PD, particularly in patients with early onset or a recessive inheritance pattern.

Prediction of cognitive progression in Parkinson's disease using three cognitive screening measures.

INTRODUCTION: Cognitive impairment is a common complication of Parkinson's disease (PD) and identifying risk factors for progression to Parkinson's disease dementia (PDD) is important. However, little research has been done comparing the utility of commonly used cognitive screening tests in predicting cognitive progression in PD. METHODS: We retrospectively reviewed data from patients with PD enrolled in the Pacific Udall Center who had baseline and longitudinal neuropsychological and global cognitive screening tests. The diagnostic accuracies of 3 common screening tests were compared: Montreal Cognitive Assessment (MoCA), Mattis Dementia Rating Scale (DRS-2), and Mini Mental Status Examination (MMSE). Cognitive diagnoses of PD with mild cognitive impairment (PD-MCI) and PDD were based on full neuropsychological testing and established Movement Disorder Society criteria. Logistic regression and Cox proportional hazards regression models were used to examine predictors of cognitive decline. RESULTS: Four hundred seventy patients for whom scores on all 3 screening tests were available from the same assessment were included in a cross-sectional analysis. The MoCA demonstrated the best overall diagnostic accuracy for PD-MCI (AUC= 0.79, sensitivity= 76.4%) and for PDD (AUC= 0.89, sensitivity= 81.0%) compared to the DRS-2 and MMSE. A longitudinal analysis was performed on the subset of patients (316/470; 67.2%) who were nondemented at baseline and had undergone two or more assessments. After controlling for covariates, the MoCA was the only test associated with progression to PDD (OR= 1.27 95% CI 1.1 - 1.5, p=0.001) and faster time to dementia (HR = 1.3, 95% CI 1.1 - 1.4, p<0.0001). CONCLUSIONS: This study provides additional support for the use of the MoCA as a primary screening tool for cognitive impairment in PD and is the first to show that the MoCA is a predictor of conversion to PDD.

Diagnostic Validation for Participants in the Washington State Parkinson Disease Registry.

BACKGROUND: The Washington State Parkinson Disease Registry (WPDR) was created to facilitate recruitment for Parkinson's disease (PD) research studies conducted in the Pacific Northwest. The success of registries that rely on self-report is dependent on the accuracy of the information provided by participants, particularly diagnosis. OBJECTIVE AND METHODS: Our goal was to assess diagnostic accuracy within the WPDR cohort. We randomly selected and attempted to contact 168 of the 1,278 actively enrolled WPDR participants. Those who responded were invited to undergo an interview and neurological examination performed by a PD specialist. If an in-person assessment was not possible, we sought information collected during participation in prior research studies or from review of medical records. A diagnosis was considered "validated" if the individual met UK Parkinson's Disease Society Brain Bank (UKBB) clinical diagnostic criteria for PD. RESULTS: Data were ascertained for 106 participants; 77 underwent an in-person assessment, 21 had data available from a prior research study, and 8 provided access to medical records. Diagnostic accuracy within the overall sample was 93.4% (95% confidence interval (86.4%, 97.1%)). Seven patients did not fulfill UKBB criteria for the following reasons: early severe autonomic involvement (n=3), history of neuroleptic treatment (n=1), presence of the Babinski sign (n=1), or insufficient supportive criteria (n=2). CONCLUSIONS: Our results indicate that studies which use the WPDR for recruitment will rarely encounter patients who are misdiagnosed. This further supports the utility of the WPDR as an effective recruitment tool for PD research in the Pacific Northwest.

Common variation in the LRRK2 gene is a risk factor for Parkinson's disease.

BACKGROUND: Common variants in the LRRK2 gene influence the risk of Parkinson's disease (PD) in Asians, but whether the same is true in European-derived populations is less clear. METHODS: We genotyped 66 LRRK2 tagging single-nucleotide polymorphisms (SNPs) in 575 PD patients and 689 controls from the northwestern United States (tier 1). PD-associated SNPs (P < .05) were then genotyped in an independent sample of 3617 cases and 2512 controls from the United States and Spain (tier 2). Logistic regression was used to model additive SNP genotype effects adjusted for age and sex among white individuals. RESULTS: Two regions showed independent association with PD in tier 1, and SNPs in both regions were successfully replicated in tier 2 (rs10878226, combined odds ratio [OR], 1.20; 95% confidence interval [CI], 1.08-1.33; P = 6.3 × 10(-4); rs11176013, OR, 0.89; CI, 0.83-0.95; P = 4.6 × 10(-4)). CONCLUSIONS: Our data suggest that common variation within LRRK2 conveys susceptibility for PD in individuals of European ancestry.

Cerebrospinal fluid biomarkers for Parkinson disease diagnosis and progression.

OBJECTIVE: There is a clear need to develop biomarkers for Parkinson disease (PD) diagnosis, differential diagnosis of Parkinsonian disorders, and monitoring disease progression. We and others have demonstrated that a decrease in DJ-1 and/or α-synuclein in the cerebrospinal fluid (CSF) is a potential index for Parkinson disease diagnosis, but not for PD severity. METHODS: Using highly sensitive and quantitative Luminex assays, we measured total tau, phosphorylated tau, amyloid beta peptide 1-42 (Aß(1-42)), Flt3 ligand, and fractalkine levels in CSF in a large cohort of PD patients at different stages as well as healthy and diseased controls. The utility of these 5 markers was evaluated for disease diagnosis and severity/progression correlation alone, as well as in combination with DJ-1 and α-synuclein. The major results were further validated in an independent cohort of cross-sectional PD patients as well as in PD cases with CSF samples collected longitudinally. RESULTS: The results demonstrated that combinations of these biomarkers could differentiate PD patients not only from normal controls but also from patients with Alzheimer disease (AD) and multiple system atrophy. Particularly, with CSF Flt3 ligand, PD could be clearly differentiated from multiple system atrophy, a disease that overlaps with PD clinically, with excellent sensitivity (99%) and specificity (95%). In addition, we identified CSF fractalkine/Aß(1-42) that positively correlated with PD severity in cross-sectional samples as well as with PD progression in longitudinal samples. INTERPRETATION: We have demonstrated that this panel of 7 CSF proteins could aid in Parkinson disease diagnosis, differential diagnosis, and correlation with disease severity and progression.

Complement 3 and factor h in human cerebrospinal fluid in Parkinson's disease, Alzheimer's disease, and multiple-system atrophy.

Complement activation, a key component of neuroinflammation, has been reported in both Parkinson's disease (PD) and Alzheimer's disease (AD). However, it is unclear whether complement activation and neuroinflammation in general are distinctly different from each another in major neurodegenerative disorders. In the present study, cerebrospinal fluid complement 3 (C3) and factor H (FH) were measured and evaluated together with amyloid-ß(42) (Aß(42)), which in recent investigations was decreased in patients with PD, in particular those with cognitive impairment. The study included 345 participants: 126 patients with PD at various stages with or without cognitive impairment, 50 with AD, and 32 with multiple-system atrophy, and 137 healthy control individuals. In addition to changes in Aß(42) concentrations, there were clear differences in the patterns of complement profiles among neurodegenerative disorders. The C3/FH ratio demonstrated high sensitivity and specificity in differentiating patients with multiple-system atrophy from those with AD or PD and control individuals. In addition, the C3/Aß(42) and FH/Aß(42) ratios not only correlated with PD severity approximated using the Unified Parkinson's Disease Rating Scale but also with the presence of cognitive impairment or dementia in PD. Both C3 and FH correlated with the severity of impairment in AD as indicated using Mini-Mental State Examination scores.