scholarly journals CuNA: Cumulant-based Network Analysis of genotype-phenotype associations in Parkinson's Disease

2021 ◽  
Author(s):  
Aritra Bose ◽  
Daniel E. Platt ◽  
Niina Haiminen ◽  
LAXMI PARIDA
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Network Analysis ◽  
Dopaminergic Neurons ◽  
Rating Scales ◽  
Clinical Phenotype ◽  
Motor Symptoms ◽  
Rna Seq ◽  
Phenotype Data ◽  
Non Motor Symptoms

Parkinson's Disease (PD) is a progressive neurodegenerative movement disorder characterized by loss of striatal dopaminergic neurons. Progression of PD is usually captured by a host of clinical features represented in different rating scales. PD diagnosis is associated with a broad spectrum of non-motor symptoms such as depression, sleep disorder as well as motor symptoms such as movement impairment, etc. The variability within the clinical phenotype of PD makes detection of the genes associated with early onset PD a difficult task. To address this issue, we developed CuNA, a cumulant-based network analysis algorithm that creates a network from higher-order relationships between eQTLs and phenotypes as captured by cumulants. We also designed a multi-omics simulator, CuNAsim to test CuNA's qualitative accuracy. CuNA accurately detects communities of clinical phenotypes and finds genes associated with them. When applied on PD data, we find previously unreported genes INPP5J, SAMD1 and OR4K13 associated with symptoms of PD affecting the kidney, muscles and olfaction. CuNA provides a framework to integrate and analyze RNA-seq, genotype and clinical phenotype data from complex diseases for more targeted diagnostic and therapeutic solutions in personalized medicine. CuNA and CuNAsim binaries are available upon request.

Parkinson’s Disease Progression and Statins: Hydrophobicity Matters

2021 ◽  
pp. 1-10
Author(s):  
Mechelle M. Lewis ◽  
Richard M. Albertson ◽  
Guangwei Du ◽  
Lan Kong ◽  
Andrew Foy ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scales ◽  
Motor Symptoms ◽  
Clinical Progression ◽  
Mixed Effect ◽  
Lipophilic Statin ◽  
Hydrophilic Statin ◽  
Non Motor Symptoms ◽  
Statin Use

Background: Recent randomized clinical trials using hydrophobic statins reported no influence on Parkinson’s disease (PD) clinical progression. Hydrophobicity is a key determinant for blood-brain barrier penetrance. Objective: Investigate a potential effect of statins on PD progression. Methods: Statin use was determined at baseline and subtyped according to hydrophobicity in 125 PD patients participated PD Biomarker Program (PDBP, 2012–2015) at our site. Clinical (N = 125) and susceptibility MRI (N = 86) data were obtained at baseline and 18-months. Movement Disorders Society-Unified PD Rating Scales were used to track progression of non-motor (MDS-UPDRS-I) and motor (MDS-UPDRS-II) symptoms, and rater-based scores (MDS-UPDRS-III) of patients in the “on” drug state. R2 * values were used to capture pathological progression in the substantia nigra. Associations between statin use, its subtypes, and PD progression were evaluated with linear mixed effect regressions. Results: Compared to statin non-users, overall statin or lipophilic statin use did not significantly influence PD clinical or imaging progression. Hydrophilic statin users, however, demonstrated faster clinical progression of non-motor symptoms [MDS-UPDRS-I (β= 4.8, p = 0.010)] and nigral R2 * (β= 3.7, p = 0.043). A similar trend was found for MDS-UPDRS-II (β= 3.9, p = 0.10), but an opposite trend was observed for rater-based MDS-UPDRS-III (β= –7.3, p = 0.10). Compared to lipophilic statin users, hydrophilic statin users also showed significantly faster clinical progression of non-motor symptoms [MDS-UPDRS-I (β= 5.0, p = 0.020)], but R2 * did not reach statistical significance (β= 2.5, p = 0.24). Conclusion: This study suggests that hydrophilic, but not lipophilic, statins may be associated with faster PD progression. Future studies may have clinical and scientific implications.

scholarly journals Multi-parameter Behavioral Phenotyping of the MPP+ Model of Parkinson’s Disease in Zebrafish

2020 ◽  
Vol 14 ◽  
Author(s):  
Christian Christensen ◽  
Haraldur Þorsteinsson ◽  
Valerie Helene Maier ◽  
Karl Ægir Karlsson
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Dopaminergic Neurons ◽  
Animal Species ◽  
Drug Effects ◽  
Current Data ◽  
Motor Symptoms ◽  
Movement Frequency ◽  
Non Motor Symptoms ◽  
Drug Free

Parkinson’s disease (PD) has been modeled in several animal species using the neurotoxins 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and its oxidized product 1-methyl-4-phenylpyridinium (MPP+). MPP+ selectively kills dopaminergic neurons in pars compacta of the substantia nigra, inducing parkinsonian symptoms in animals. Typically, neurotoxicity models of PD in zebrafish assess acute drug effects on locomotion. In the present study, we examined the lasting effects of MPP+ exposure and drug treatment in zebrafish larvae. Larvae were incubated in 500 μM MPP+, from 1 to 5 days post fertilization (dpf), followed by 24 h drug-free acclimation. At 6 dpf, the behavior was analyzed for locomotion, thigmotaxis, and sleep. Next, in separate assays we assessed the drug effects of brain injected glial cell-derived neurotrophic factor (GDNF) and 4-phenylbutyrate (PBA), co-incubated with MPP+. We show that MPP+ exposure consistently reduces swim distance, movement frequency, and cumulative time of movement; thus mimicking a parkinsonian phenotype of reduced movement. In contrast, MPP+ exposed larvae demonstrate reduced anxiety-like behavior and exhibit a sleep phenotype inconsistent with human PD: the larvae display longer sleep bouts, less sleep fragmentation, and more sleep. Previously reported rescuing effects of PBA were not replicated in this study. Moreover, whereas GDNF attenuated the sleep phenotype induced by MPP+, PBA augmented it. The current data suggest that MPP+ exposure generates a multifaceted phenotype in zebrafish and highlights that analyzing a narrow window of data can reveal effects that may be inconsistent with longer multi-parameter approaches. It further indicates that the model generally captures motor symptoms more faithfully than non-motor symptoms.

scholarly journals Alexithymia and Apathy in Parkinson’s Disease: Neurocognitive Correlates

2013 ◽  
Vol 27 (4) ◽  
pp. 535-545 ◽  
Author(s):  
Yelena Bogdanova ◽  
Alice Cronin-Golomb
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neuropsychological Tests ◽  
Emotional Processing ◽  
Rating Scales ◽  
Right Hemisphere ◽  
Neuropsychiatric Symptoms ◽  
Disease Stage ◽  
Motor Symptoms ◽  
Non Motor Symptoms

Non-motor symptoms such as neuropsychiatric and cognitive dysfunction have been found to be common in Parkinson’s disease (PD) but the relation between such symptoms is poorly understood. We focused on alexithymia, an impairment of affective and cognitive emotional processing, as there is evidence for its interaction with cognition in other disorders. Twenty-two non-demented PD patients and 22 matched normal control adults (NC) were administered rating scales assessing neuropsychiatric status, including alexithymia, apathy, and depression, and a series of neuropsychological tests. As expected, PD patients showed more alexithymia than NC, and there was a significant association between alexithymia and disease stage. Alexithymia was associated with performance on non-verbally mediated measures of executive and visuospatial function, but not on verbally mediated tasks. By contrast, there was no correlation between cognition and ratings of either depression or apathy. Our findings demonstrate a distinct association of alexithymia with non-verbal cognition in PD, implicating right hemisphere processes, and differentiate between alexithymia and other neuropsychiatric symptoms in regard to PD cognition.

scholarly journals Increased substantia nigra echogenicity correlated with visual hallucinations in Parkinson’s disease: a Chinese population-based study

2019 ◽  
Vol 41 (3) ◽  
pp. 661-667 ◽  
Author(s):  
Ting Li ◽  
Jing Shi ◽  
Bin Qin ◽  
Dongsheng Fan ◽  
Na Liu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Substantia Nigra ◽  
Odds Ratio ◽  
Rating Scales ◽  
Binary Logistic Regression Analysis ◽  
Motor Symptoms ◽  
Visual Hallucinations ◽  
Roc Curve Analysis ◽  
Non Motor Symptoms

AbstractAs a noninvasive technique, transcranial sonography (TCS) of substantia nigra (SN) has gradually showed its effectiveness not only in diagnosis but also in understanding clinical features of Parkinson’s Disease (PD). This study aimed to further evaluate TCS for clinical diagnosis of PD, and to explore the association between sonographic manifestations and visual hallucinations (VH). A total of 226 subjects including 141 PD patients and 85 controls were recruited. All participants received TCS. A series of rating scales to evaluate motor and non-motor symptoms were performed in PD patients. Results showed that 172 subjects were successfully assessed by TCS. The area of SN was greater in PD patients than that in controls (P < 0.001). As receiver-operating characteristic (ROC) curve analysis showed, the best cutoff value for the larger SN echogenicity size was 23.5 mm2 (sensitivity 70.3%, specificity 77.0%). Patients with VH had larger SN area (P = 0.019), as well as higher Non-Motor Symptoms Scale (NMSS) scores (P = 0.018). Moreover, binary logistic regression analysis indicated that SN hyperechogenicity (odds ratio = 4.227, P = 0.012) and NMSS scores (odds ratio = 0.027, P = 0.042) could be the independent predictors for VH. In conclusion, TCS can be used as an auxiliary diagnostic tool for Parkinson’s disease. Increased SN echogenicity is correlated with VH in Parkinson’s disease, possibly because the brain stem is involved in the mechanism in the onset of VH. Further studies are needed to confirm these findings.

scholarly journals Animal models of Parkinson's disease: a guide to selecting the optimal model for your research

2021 ◽  
Author(s):  
Joana Lama ◽  
Yazead Buhidma ◽  
Edward JR Fletcher ◽  
Susan Duty
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Animal Models ◽  
Dopaminergic Neurons ◽  
Alpha Synuclein ◽  
Motor Symptoms ◽  
Multisystem Disorder ◽  
Wide Range ◽  
Non Motor Symptoms ◽  
Selection Of

Parkinson’s disease (PD) is a complex, multisystem disorder characterised by alpha synuclein pathology, degeneration of nigrostriatal dopaminergic neurons, multifactorial pathogenetic mechanisms and expression of a plethora of motor and non-motor symptoms. Animal models of PD have already been instructive in helping us unravel some of these aspects. However, much remains to be discovered, requiring continued interrogation by the research community. In contrast to the situation for many neurological disorders, PD benefits from of a wide range of available animal models (pharmacological, toxin, genetic and alpha-synuclein) but this makes selection of the optimal one for a given study difficult. This is especially so when a study demands a model that displays a specific combination of features. While many excellent reviews of animal models already exist, this review takes a different approach with the intention of more readily informing this decision-making process. We have considered each feature of PD in turn - aetiology, pathology, pathogenesis, motor dysfunctions and non-motor symptoms - highlighting those animal models that replicate each. By compiling easily accessible tables and figures, we aim to provide the reader with a simple, go-to resource for selecting the optimal animal model of PD to suit their research needs.

scholarly journals Depression Is Associated With Constipation in Patients With Parkinson's Disease

2020 ◽  
Vol 11 ◽  
Author(s):  
Qin Xiao-ling ◽  
Chen Gang ◽  
Lu Bo ◽  
Li Zai-li ◽  
Liu Xue-kui ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scales ◽  
Clinical Stage ◽  
Motor Symptom ◽  
Motor Symptoms ◽  
Depression And Anxiety ◽  
Non Motor Symptoms

Objective: Constipation is one of the most frequent non-motor symptoms (NMS) in Parkinson's disease (PD), causing great disturbance to patients. The present study investigated the prevalence and the clinical features of constipation in patients with PD and explored the difference between prodromal and clinical constipation of PD.Methods: A total of 186 patients with PD were recruited into this study. Subjective constipation was defined by ROME III criteria. Demographic and PD-related clinical information of the participants were collected. The PD patients were objectively assessed by a spectrum of rating scales of motor symptoms, non-motor symptoms, and quality of life.Results: In total, 51.61% (96/186) of PD patients suffer from constipation. Compared with patients without constipation, the patients with constipation were prone to have restless leg syndrome, depression, and anxiety and have higher scores of the non-motor symptoms scale. Among patients with constipation, 21.88% (21/96) patients had constipation in prodromal stage. Compared with patients with constipation in clinical stage, patients with prodromal constipation had a lower age of constipation onset (56.48 ± 9.63 and 65.26 ± 8.42, χ2 = 4.091, P &lt; 0.001), longer timespan from constipation onset to motor symptom onset (6.62 ± 3.91 and 3.18 ± 2.13, χ2 = −3.877, P = 0.001). Patients with prodromal constipation were predominantly tremor onset (χ2 = 4.405, P = 0.044) and usually had a better quality of life [28 (14.50–37.5) and 40 (25.0–55.0), χ2 = 2.011, P = 0.046]. Depression was the only risk factor of constipation in PD patients. Body mass index, depression, and anxiety were factors that affected the life quality in patients with constipation.Conclusions: Our results supported the high incidence of constipation in patients with PD and that, in some patients, constipation occurred before the onset of motor symptoms. The specific clinical characteristics of patients with constipation and with prodromal constipation help to make early diagnosis, to discover the relationship between constipation and PD, and to further explore the pathogenesis of this degenerative disease.

scholarly journals Parkinson’s disease and translational research

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Elisabeth Dinter ◽  
Theodora Saridaki ◽  
Leonie Diederichs ◽  
Heinz Reichmann ◽  
Björn H. Falkenburger
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Nervous System ◽  
Translational Research ◽  
Dopaminergic Neurons ◽  
Therapeutic Options ◽  
Motor Symptoms ◽  
New Approaches ◽  
Biological Phenomena ◽  
Non Motor Symptoms

AbstractParkinson’s disease (PD) is diagnosed when patients exhibit bradykinesia with tremor and/or rigidity, and when these symptoms respond to dopaminergic medications. Yet in the last years there was a greater recognition of additional aspects of the disease including non-motor symptoms and prodromal states with associated pathology in various regions of the nervous system. In this review we discuss current concepts of two major alterations found during the course of the disease: cytoplasmic aggregates of the protein α-synuclein and the degeneration of dopaminergic neurons. We provide an overview of new approaches in this field based on current concepts and latest literature. In many areas, translational research on PD has advanced the understanding of the disease but there is still a need for more effective therapeutic options based on the insights into the basic biological phenomena.

α-Synuclein in Parkinson’s Disease: Does a Prion-Like Mechanism of Propagation from Periphery to the Brain Play a Role?

2020 ◽  
pp. 107385842094318
Author(s):  
Huimin Zheng ◽  
Changhe Shi ◽  
Haiyang Luo ◽  
Liyuan Fan ◽  
Zhihua Yang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Dopaminergic Neurons ◽  
Lewy Bodies ◽  
Cellular Level ◽  
Motor Symptoms ◽  
Lewy Neurites ◽  
Growing Body ◽  
Non Motor Symptoms ◽  
The Brain

Parkinson’s disease (PD) is one of the most common neurodegenerative diseases, defined as motor and non-motor symptoms associated with the loss of dopaminergic neurons and a decreased release of dopamine (DA). Currently, PD patients are believed to have a neuropathological basis denoted by the presence of Lewy bodies (LBs) or Lewy neurites (LNs), which mostly comprise α-synuclein (α-syn) inclusions. Remarkably, there is a growing body of evidence indicating that the inclusions undergo template-directed aggregation and propagation via template-directed among the brain and peripheral organs, mainly in a prion-like manner. Interestingly, some studies reported that an integral loop was reminiscent of the mechanism of Parkinson’s disease, denoting that α-syn as prionoid was transmitted from the periphery to the brain via specific pathways. Also the systematic life cycle of α-syn in the cellular level is illustrated. In this review, we critically assess landmark evidence in the field of Parkinson’s disease with a focus on the genesis and prion-like propagation of the α-syn pathology. The anatomical and cell-to-cell evidences are discussed to depict the theory behind the propagation and transferred pathways. Furthermore, we highlight effective therapeutic perspectives and clinical trials targeting prion-like mechanisms. Major controversies surrounding this topic are also discussed.

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