Autosomal recessive, early-onset Parkinsonism is clinically and genetically heterogeneous. Here, we report the identification, by homozygosity mapping and exome sequencing, of a SYNJ1 homozygous mutation (p.Arg258Gln) segregating with disease in an Italian consanguineous family with Parkinsonism, dystonia, and cognitive deterioration. Response to levodopa was poor, and limited by side effects. Neuroimaging revealed brain atrophy, nigrostriatal dopaminergic defects, and cerebral hypometabolism. SYNJ1 encodes synaptojanin 1, a phosphoinositide phosphatase protein with essential roles in the postendocytic recycling of synaptic vesicles. The mutation is absent in variation databases and in ethnically matched controls, is damaging according to all prediction programs, and replaces an amino acid that is extremely conserved in the synaptojanin 1 homologues and in SAC1-like domains of other proteins. Sequencing the SYNJ1 ORF in unrelated patients revealed another heterozygous mutation (p.Ser1422Arg), predicted as damaging, in a patient who also carries a heterozygous PINK1 truncating mutation. The SYNJ1 gene is a compelling candidate for Parkinsonism; mutations in the functionally linked protein auxilin cause a similar early-onset phenotype, and other findings implicate endosomal dysfunctions in the pathogenesis. Our data delineate a novel form of human Mendelian Parkinsonism, and provide further evidence for abnormal synaptic vesicle recycling as a central theme in the pathogenesis.

Presynaptic terminals are metabolically active and accrue damage through continuous vesicle cycling. How synapses locally regulate protein homeostasis is poorly understood. We show that the presynaptic lipid phosphatase synaptojanin is required for macroautophagy, and this role is inhibited by the Parkinson's disease mutation R258Q. Synaptojanin drives synaptic endocytosis by dephosphorylating PI(4,5)P 2 , but this function appears normal in Synaptojanin RQ knock-in flies. Instead, R258Q affects the synaptojanin SAC1 domain that dephosphorylates PI(3)P and PI(3,5)P 2 , two lipids found in autophagosomal membranes. Using advanced imaging, we show that Synaptojanin RQ mutants accumulate the PI(3)P/PI(3,5)P 2 -binding protein Atg18a on nascent synaptic autophagosomes, blocking autophagosome maturation at fly synapses and in neurites of human patient induced pluripotent stem cell-derived neurons. Additionally, we observe neurodegeneration, including dopaminergic neuron loss, in Synaptojanin RQ flies.Thus, synaptojanin is essential for macroautophagy within presynaptic terminals, coupling protein turnover with synaptic vesicle cycling and linking presynaptic-specific autophagy defects to Parkinson's disease.

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Freezing of gait (FOG) is a frequent, disabling symptom of Parkinson's disease (PD). FOG usually lasts a few seconds. It refers to brief paroxysmal events during which a subject is unable to start or continue locomotion. Despite its frequency, FOG pathophysiology is unclear. Because a frontal lobe dysfunction or a disconnection between the frontal lobe and basal ganglia has been implicated in FOG, we explored frontal functions in PD patients using neuropsychological tests. Thirteen early-stage PD patients [Hoehn & Yahr score (H&Y) < or = 2.5] with freezing during "on " state (FOG+), and 15 age-, H&Y score-, and disease-duration-matched PD patients without freezing (FOG-) were investigated. No patient was demented or depressed. Assessment included the Unified Parkinson's Disease Rating Scale (UPDRS), FOG questionnaire, Mini Mental State Examination (MMSE), frontal assessment battery (FAB), phonemic verbal fluency, Stroop test (parts II and III), and ten-point clock test (TPCT). UPDRS and MMSE scores did not differ between the two groups. FAB, verbal fluency, and TPCT scores were significantly lower in FOG+ patients than in FOG- patients (FAB: P = 0.008; phonemic verbal fluency: P = 0.011; TPCT: P = 0.024). FOG correlated with lower scores at frontal tests in patients with early-stage PD.

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BackgroundThe variability in the clinical phenotype of Parkinson’s disease seems to suggest the existence of several subtypes of the disease. To test this hypothesis we performed a cluster analysis using data assessing both motor and non-motor symptoms in a large cohort of newly diagnosed untreated PD patients.MethodsWe collected data on demographic, motor, and the whole complex of non-motor symptoms from 100 consecutive newly diagnosed untreated outpatients. Statistical cluster analysis allowed the identification of different subgroups, which have been subsequently explored.ResultsThe data driven approach identified four distinct groups of patients, we have labeled: 1) Benign Pure Motor; 2) Benign mixed Motor-Non-Motor; 3) Non-Motor Dominant; and 4) Motor Dominant.ConclusionOur results confirmed the existence of different subgroups of early PD patients. Cluster analysis revealed the presence of distinct subtypes of patients profiled according to the relevance of both motor and non-motor symptoms. Identification of such subtypes may have important implications for generating pathogenetic hypotheses and therapeutic strategies.

Cognitive impairment is common in PD, even in early stages. The construct of mild cognitive impairment has been used to identify clinically evident cognitive impairment without functional decline in PD patients (PD-MCI). The aim of the present study was to investigate brain connectivity associated with PD-MCI through RS-fMRI. RS-fMRI at 3T was collected in 42 PD patients and 20 matched healthy controls. Among PD patients, 21 were classified as having MCI (PD-MCI) and 21 as cognitively unimpaired (PD-nMCI) based on criteria for possible PD-MCI (level I category). Single-subject and group-level ICA was used to investigate the integrity of brain networks related to cognition in PD patients with and without MCI. Image data processing and statistical analysis were performed in BrainVoyager QX. In addition, we used VBM to test whether functional connectivity differences were related to structural abnormalities. PD-nMCI and PD-MCI patients compared with controls showed decreased DMN connectivity. PD-MCI patients, but not PD-nMCI, compared with controls, showed decreased functional connectivity of bilateral prefrontal cortex within the frontoparietal network. The decreased prefrontal cortex connectivity correlated with cognitive parameters but not with clinical variables. VBM analysis did not reveal any difference in local gray matter between patients and controls. Our findings suggest that an altered DMN connectivity characterizes PD patients, regardless of cognitive status, whereas a functional disconnection of the frontoparietal network could be associated with MCI in PD in the absence of detectable structural changes

Since the official and systematic inclusion of sex and gender in biomedical research, gender differences have been acknowledged as important determinants of both the susceptibility to develop neurodegenerative diseases in general population and the clinical and therapeutic management of neurodegenerative patients. In this review, we gathered the available evidence on gender differences in Parkinson's disease (PD) regarding clinical phenotype (including motor and non-motor symptoms), biomarkers, genetics and therapeutic management (including pharmacological and surgical treatment). Finally, we will briefly discuss the role of estrogens in determining such differences. Several data demonstrate that PD in women starts with a more benign phenotype, likely due to the effect of estrogens. However, as the disease progresses, women are at higher risk of developing highly disabling treatment-related complications, such as motor and non-motor fluctuations as well as dyskinesia, compared with men. In addition, women have lower chances of receiving effective treatment for PD as deep brain stimulation. Taken together these findings challenge the definition of a more benign phenotype in women. Still, much work needs to be done to better understand the interaction between gender, genetics and environmental factors in determining the PD risk and clinical features. Improving our understanding in this field may result in implementation of strategies to identify prodromal PD and speed efforts to discern new directions for disease tailored treatment and management.