Chasing genes in Alzheimer’s and Parkinson’s disease

Alzheimers disease (AD), the most common type of dementia, and Parkinsons disease (PD), the most common movement disorder, are both neurodegenerative adult-onset diseases characterized by the progressive loss of specific neuronal populations and the accumulation of intraneuronal inclusions. The search for genetic and environmental factors that determine the fate of neurons during the ageing process has been a widespread approach in the battle against neurodegenerative disorders. Genetic studies of AD and PD initially focused on the search for genes involved in the aetiological mechanisms of monogenic forms of these diseases. They later expanded to study hundreds of patients, affected relative-pairs and population-based studies, sometimes performed on special isolated populations. A growing number of genes (and pathogenic mutations) is being identified that cause or increase susceptibility to AD and PD. This review discusses the way in which strategies of gene hunting have evolved during the last few years and the significance of finding genes such as the presenilins, -synuclein, parkin and DJ-1. In addition, we discuss possible links between these two neurodegenerative disorders. The clinical, pathological and genetic presentation of AD and PD suggests the involvement of a few overlapping interrelated pathways. Their imbricate features point to a spectrum of neurodegeneration (tauopathies, synucleinopathies, amyloidopathies) that need further intense investigation to find the missing links.     

Systemic neurophysiological analysis of Parkinson’s disease

On the basis of comprehensive neurophysiological examination, we tried to analyze the systemic organization of functions in Parkinson’s disease in terms of the theory of functional systems. Study of the specificity of internal neurophysiological organization helps to find a high level of internal tension and limitation of functional reserves in patients with Parkinson’s disease, including those with the rigid form and long duration of the disease. The possible predominance of homeostatic response programs in Parkinson’s disease is discussed.     

Possible involvement of neuronal nicotinic acetylcholine receptors in compensatory brain mechanisms at early stages of Parkinson’s disease

A role of nicotinic acetylcholine receptors (nAChR) in the development of Parkinson’s disease (PD) has been investigated using two mouse models corresponding to the presymptomatic stage and the early symptomatic stage of PD. Quantitative radioligand analysis of nAChR in the striatum and substantia nigra (SN) was performed using the radioactive derivatives of epibatidine, α-conotoxin MII, and α-bungarotoxin. These are selective ligands for different nAChR subtypes. The number of ligand-binding sites changed differently depending on their location in the brain, the stage of the disease and the receptor subtype. In the striatum epibatidine binding decreased by 66% and 70% at the presymptomatic and early symptomatic stages, respectively, while in SN epibatidine binding demonstrated a significant (160%) increase at the presymptomatic stage. The α-conotoxin MII binding to striatal dopaminergic axonal terminals at the presymptomatic stage decreased by 20% and at the symptomatic stage it demonstrated a further decrease. Striatal α-bungarotoxin binding increased at the presymptomatic stage and decreased at the early symptomatic stage. In SN, the level of α-bungarotoxin binding decreased at the presymptomatic stage and remained constant at the symptomatic stage. A significant decrease in the expression of Chrna4 and Chrna6 genes encoding α4 and α6 nAChR subunits was observed in SN at the early symptomatic stage, while a 13-fold increase in expression of the Chrna7 gene encoding the α7 nAChR subunit was detected at the presymptomatic stage. The data obtained on the altered mRNA levels or functional cholinergic receptors suggest possible involvement of nAChR in compensatory mechanisms at early PD stages.     

Investigation of EEG abnormalities in the early stage of Parkinson’s disease

The objective of the present study was to investigate brain activity abnormalities in the early stage of Parkinson’s disease (PD). To achieve this goal, eyes-closed resting state electroencephalography (EEG) signals were recorded from 15 early-stage PD patients and 15 age-matched healthy controls. The AR Burg method and the wavelet packet entropy (WPE) method were used to characterize EEG signals in different frequency bands between the groups, respectively. In the case of the AR Burg method, an increase of relative powers in the δ- and θ-band, and a decrease of relative powers in the α- and β-band were observed for patients compared with controls. For the WPE method, EEG signals from patients showed significant higher entropy over the global frequency domain. Furthermore, WPE in the γ-band of patients was higher than that of controls, while WPE in the δ-, θ-, α- and β-band were all lower. All of these changes in EEG dynamics may represent early signs of cortical dysfunction, which have potential use as biomarkers of PD in the early stage. Our findings may be further used for early intervention and early diagnosis of PD.     

Prevention of progression in Parkinson’s disease

Environmental influences affecting genetically susceptible individuals seem to contribute significantly to the development of Parkinson’s disease (PD). Xenobiotic exposure including transitional metal deposition into vulnerable CNS regions appears to interact with PD genes. Such exposure together with mitochondrial dysfunction evokes a destructive cascade of biochemical events, including oxidative stress and degeneration of the sensitive dopamine (DA) production system in the basal ganglia. Recent research indicates that the substantia nigra degeneration can be decelerated by treatment with iron binding compounds such as deferiprone. Interestingly compounds known to decrease PD risk including caffeine, niacin, nicotine and salbutamol also possess iron binding properties. Adequate function of antioxidative mechanisms in the vulnerable brain cells can be restored by acetylcysteine supplementation to normalize intracellular glutathione activity. Other preventive measures to reduce deterioration of dopaminergic neurons may involve life-style changes such as intake of natural antioxidants and physical exercise. Further research is recommended to identify therapeutic targets of the proposed interventions, in particular protection of the DA biosynthesis by oxygen radical scavengers and iron binding agents.     

Tackling neurodegenerative diseases: animal models of Alzheimer’s disease and Parkinson’s disease

Our ageing society is confronted with a dramatic increase in incidence of age-related neurodegenerative diseases; biomedical research leading to novel therapeutic strategies is crucial to address this problem. Animal models of neurodegenerative conditions are invaluable in improving our understanding of the molecular basis of pathology, potentially revealing novel targets for intervention. Here, we review transgenic animal models of Alzheimer’s and Parkinson’s disease reported in mice, zebrafish, Caenorhabditis elegans and Drosophila melanogaster. This information will enable researchers to compare different animal models targeting disease-associated molecules by genomic engineering and to facilitate the development of novel animal models for any particular study, depending on the ultimate research goals.     

151 Network inference and analysis of Parkinson’s disease

Based on existing literature and publicly available expression data-sets, a map of Parkinson’s disease (PD) has been inferred in collaborative effort with other teams in LCSB and Systems Biology Institute, Tokyo, Japan. However, due to the increased complexity of the map, human intuition is often insufficient in understanding the initiation, functional regulation, and progression of this disease. Hence, it is necessary to mine the information content of this network to make sense of this abundance complex information. To this end, current work aims to analyze the network topology and dynamics of the PD map, using Boolean modeling. Grounded on perturbation analysis, the work also aims to obtain a system level understanding of the genotype–phenotype relationships to identify key components in the disease regulation and to generate experimentally testable hypothesis for PD susceptibility and progression. Methodology includes using existing graph theoretical analysis tools, as well as to develop rigorous sophisticated analysis tools which could be vital for understanding the disease pathology and for successful quantitative modeling. In general, the major focus and contribution of this work aim at the fields of statistical inference, graph analysis, and dynamic modeling in systems biology.     

Genetic analysis of candidate genes modifying the age-at-onset in Huntington’s disease

The expansion of a polymorphic CAG repeat in the HD gene encoding huntingtin has been identified as the major cause of Huntington’s disease (HD) and determines 42–73% of the variance in the age-at-onset of the disease. Polymorphisms in huntingtin interacting or associated genes are thought to modify the course of the disease. To identify genetic modifiers influencing the age at disease onset, we searched for polymorphic markers in the GRIK2, TBP, BDNF, HIP1 and ZDHHC17 genes and analysed seven of them by association studies in 980 independent European HD patients. Screening for unknown sequence variations we found besides several silent variations three polymorphisms in the ZDHHC17 gene. These and polymorphisms in the GRIK2, TBP and BDNF genes were analysed with respect to their association with the HD age-at-onset. Although some of the factors have been defined as genetic modifier factors in previous studies, none of the genes encoding GRIK2, TBP, BDNF and ZDHHC17 could be identified as a genetic modifier for HD.Electronic Supplementary Material Supplementary material is available to authorised users in the online version of this article at .     

Cognitive predictors of balance in Parkinson’s disease

Postural instability is one of the most incapacitating symptoms of Parkinson’s disease (PD) and appears to be related to cognitive deficits. This study aims to determine the cognitive factors that can predict deficits in static and dynamic balance in individuals with PD. A sociodemographic questionnaire characterized 52 individuals with PD for this work. The Trail Making Test, Rule Shift Cards Test, and Digit Span Test assessed the executive functions. The static balance was assessed using a plantar pressure platform, and dynamic balance was based on the Timed Up and Go Test. The results were statistically analysed using SPSS Statistics software through linear regression analysis. The results show that a statistically significant model based on cognitive outcomes was able to explain the variance of motor variables. Also, the explanatory value of the model tended to increase with the addition of individual and clinical variables, although the resulting model was not statistically significant The model explained 25–29% of the variability of the Timed Up and Go Test, while for the anteroposterior displacement it was 23–34%, and for the mediolateral displacement it was 24–39%. From the findings, we conclude that the cognitive performance, especially the executive functions, is a predictor of balance deficit in individuals with PD.     

Pathway analysis of genome-wide association studies for Parkinson’s disease

The study was done to identify the candidate causal single nucleotide polymorphisms (SNPs) and candidate causal mechanisms that contribute to Parkinson’s disease (PD) susceptibility and to generate a SNP to ene to pathway hypothesis using an analytical pathway-based approach. We used a PD genome-wide association study (GWAS) meta-analysis data of the genotypes of 2,525,705 SNPs in 4,238 PD cases and 4,239 controls. Identify candidate Causal SNPs and Pathways (ICSNPathway) analysis was applied to the PD GWAS dataset. The first stage involved the pre-selection of candidate causal SNPs by linkage disequilibrium analysis and the functional SNP annotation of the most significant SNPs found. The second stage involved the annotation of biological mechanisms for the pre-selected candidate causal SNPs using improved-gene set enrichment analysis. ICSNPathway analysis identified three candidate SNPs, two genes, twenty-one pathways, and three hypothetical biological mechanisms: (1) rs17651549 to microtubule-associated protein tau (MAPT) to protein domain specific binding (nominal p < 0.001, false discovery rate (FDR) < 0.001), neurogenesis (nominal p < 0.001, FDR < 0.001), regulation of neurogenesis (nominal p < 0.001, FDR = 0.001), positive regulation of axonogenesis (nominal p < 0.001, FDR = 0.001), regulation of protein polymerization (nominal p < 0.001, FDR = 0.004), negative regulation of organelle organization (nominal p < 0.001, FDR = 0.004), hsa01510 (nominal p < 0.001, FDR = 0.005), neuron differentiation (nominal p < 0.001, FDR = 0.009), and axonogenesis (nominal p < 0.001, FDR = 0.009); (2) rs10445337 to MAPT to protein domain specific binding (nominal p < 0.001, FDR < 0.001), neurogenesis (nominal p < 0.001, FDR < 0.001), regulation of neurogenesis (nominal p < 0.001, FDR = 0.001), and positive regulation of axonogenesis (nominal p < 0.001, FDR = 0.001); (3) rs9938550 to HSD3B7 to hsa00363 (nominal p < 0.001, FDR = 0.004), bile acid metabolic process (nominal p = 0.005, FDR = 0.019), and steroid metabolic process (nominal p = 0.010, FDR = 0.039). By applying the ICSNPathway analysis to PD GWAS meta-analysis data, three candidate SNPs, two genes (MAPT and HSD3B7), and 21 pathways involving protein domain specific binding and neurogenesis were identified, which may contribute to PD susceptibility.     

Selenium speciation analysis in the cerebrospinal fluid of patients with Parkinson’s disease

BackgroundThe aim of the study was to investigate if speciation analysis by liquid chromatography coupled to mass spectrometry could be used to detect organic and inorganic binding forms of selenium in the cerebrospinal fluid (CSF) of patients with Parkinson’s disease (PD) and age-matched control subjects (AMC).MethodsPD patients and control subjects were enrolled from three different neurological departments. CSF samples were collected according to standardized biomarker protocols and subjected to inductively coupled plasma mass spectrometry (ICP-MS) for total selenium determination and ion exchange chromatography (IEC) hyphenated to ICP-MS for selenium speciation analysis.Results75 PD patients and 68 age-matched controls were enrolled for speciation analysis. 8 different species could be detected, but only selenoprotein P (SELENOP), human serum albumin-bound Se (Se-HSA), selenomethionine (Se-Met) and an unidentified Se-compound (U2) presented with more than 50% values above the limit of quantification, without showing significant differences between both groups (p > 0.05). The Se-HSA / Se-Met ratio yielded a significant difference between PD and AMC (p = 0.045). The inorganic species Se-IV and Se-VI were only detectable in a minor part of PD and AMC samples. A highly significant correlation between total selenium levels and SELENOP (PD p < 0.0001; AMC p < 0.0001) and Se-HSA (PD p < 0.0001; AMC p < 0.0001) could be demonstrated, respectively.ConclusionsSpeciation analysis yielded new insight into selenium homeostasis in PD but cannot be used to establish a diagnostic biomarker. The small number of detectable values for Se-IV and Se-VI suggests an inferior role of these potentially neurotoxic binding forms in PD pathology in contrast to other neurodegenerative disorders.     

Golgi fragmentation is Rab and SNARE dependent in cellular models of Parkinson’s disease

Fragmentation of the Golgi ribbon is a common feature of many neurodegenerative diseases but little is known about the causes of this alteration. In Parkinson’s disease, it is believed to be the consequence of an ER–Golgi transport imbalance and/or of cytoskeleton alterations. In the present study, we analyze the mechanisms involved in Golgi fragmentation in differentiated PC12 cells treated with 6-hydroxydopamine or methamphetamine as cellular models of Parkinson’s disease. Our data demonstrate that Golgi fragmentation precedes and might trigger the aggregation of α-synuclein and the formation of inclusions, alterations in anterograde and retrograde transport between the endoplasmic reticulum and Golgi complex, and cytoskeleton damage. In contrast, fragmentation is directly related with alterations in the levels of Rab1, 2 and 8 and the SNARE protein syntaxin 5. Thus, overexpression of Rab1 and 8 and depletion of Rab2 and syntaxin 5 rescue the Golgi morphology. In conclusion, the homeostasis of a limited number of Rab and SNARE proteins is important for understanding the cytopathology of Parkinson’s disease.     

Parkinson��s disease mouse models in translational research

Animal models with high predictive power are a prerequisite for translational research. The closer the similarity of a model to Parkinson??s disease (PD), the higher is the predictive value for clinical trials. An ideal PD model should present behavioral signs and pathology that resemble the human disease. The increasing understanding of PD stratification and etiology, however, complicates the choice of adequate animal models for preclinical studies. An ultimate mouse model, relevant to address all PD-related questions, is yet to be developed. However, many of the existing models are useful in answering specific questions. An appropriate model should be chosen after considering both the context of the research and the model properties. This review addresses the validity, strengths, and limitations of current PD mouse models for translational research.     

Succinate dehydrogenase in Parkinson’s disease

Background

The prevalence of neurodegenerative disorders such as Parkinson’s disease (PD) is increased by age. Alleviation of their symptoms and protection of normal neurons against degeneration are the main aspects of the researches to establish novel therapeutic strategies. Many studies have shown that mitochondria as the most important organelles in the brain which show impairment in PD models. Succinate dehydrogenase (SDH) as a component of the oxidative phosphorylation system in mitochondria connects Krebs cycle to the electron transport chain. Dysfunction or inhibition of the SDH can trigger mitochondrial impairment and disruption in ATP generation. Excessive in lipid synthesis and induction of the excitotoxicity as inducers in PD are controlled by SDH activity directly and indirectly. On the other hand, mutation in subunits of the SDH correlates with the onset of neurodegenerative disorders. Therefore, SDH could behave as one of the main regulators in neuroprotection.

Objective

In this review we will consider contribution of the SDH and its related mechanisms in PD.

Methods

Pubmed search engine was used to find published studies from 1977 to 2016. “Succinate dehydrogenase”, “lipid and brain”, “mitochondria and Parkinson’s disease” were the main keywords for searching in the engine.

Results

Wide ranges of studies (59 articles) in neurodegenerative disorders especially Parkinson’s disease like genetics of the Parkinson’s disease, effects of the mutant SDH on cell activity and physiology and lipid alteration in neurodegenerative disorders have been used in this review.

Conclusion

Mitochondria as key organelles in the energy generation plays crucial roles in PD. ETC complex in this organelle consists four complexes which alteration in their activities cause ROS generation and ATP depletion. Most of complexes are encoded by mtDNA while complex II is the only part of the ETC which is encoded by nuclear genome. So, focusing on the SDH and related pathways which have important role in neuronal survival and SDH has a potential to further studies as a novel neuroprotective agent.