scholarly journals Parkinson’s disease and dopamine transporter neuroimaging: a critical review

2006 ◽  
Vol 124 (3) ◽  
pp. 168-175 ◽  
Author(s):  
Ming Chi Shih ◽  
Marcelo Queiroz Hoexter ◽  
Luiz Augusto Franco de Andrade ◽  
Rodrigo Affonseca Bressan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Dopamine Transporter ◽  
Neurodegenerative Disorder ◽  
Single Photon ◽  
Disease Diagnosis ◽  
Critical Discussion ◽  
Emission Tomography ◽  
Disease Evolution

Parkinson’s disease (PD) is a common neurodegenerative disorder that is mainly caused by dopaminergic neuron loss in the substantia nigra. Several nuclear medicine radiotracers have been developed to evaluate PD diagnoses and disease evolution in vivo in PD patients. Positron emission tomography (PET) and single photon computerized emission tomography (SPECT) radiotracers for the dopamine transporter (DAT) provide good markers for the integrity of the presynaptic dopaminergic system affected in PD. Over the last decade, radiotracers suitable for imaging the DAT have been the subject of most efforts. In this review, we provide a critical discussion on the utility of DAT imaging for Parkinson’s disease diagnosis (sensitivity and specificity).

Machine Learning Approaches in Parkinson’s Disease

2021 ◽  
Vol 28 ◽  
Author(s):  
Annamaria Landolfi ◽  
Carlo Ricciardi ◽  
Leandro Donisi ◽  
Giuseppe Cesarelli ◽  
Jacopo Troisi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurodegenerative Disorder ◽  
Learning Algorithms ◽  
Disease Diagnosis ◽  
Machine Learning Algorithms ◽  
Clinical Aspects ◽  
Learning Approaches

Background:: Parkinson’s disease is the second most frequent neurodegenerative disorder. Its diagnosis is challenging and mainly relies on clinical aspects. At present, no biomarker is available to obtain a diagnosis of certainty in vivo. Objective:: The present review aims at describing machine learning algorithms as they have been variably applied to different aspects of Parkinson’s disease diagnosis and characterization. Methods:: A systematic search was conducted on PubMed in December 2019, resulting in 230 publications obtained with the following search query: “Machine Learning” “AND” “Parkinson Disease”. Results:: the obtained publications were divided into 6 categories, based on different application fields: “Gait Analysis - Motor Evaluation”, “Upper Limb Motor and Tremor Evaluation”, “Handwriting and typing evaluation”, “Speech and Phonation evaluation”, “Neuroimaging and Nuclear Medicine evaluation”, “Metabolomics application”, after excluding the papers of general topic. As a result, a total of 166 articles were analyzed, after elimination of papers written in languages other than English or not directly related to the selected topics. Conclusion:: Machine learning algorithms are computer-based statistical approaches which can be trained and are able to find common patterns from big amounts of data. The machine learning approaches can help clinicians in classifying patients according to several variables at the same time.

Radionuclide Imaging in Parkinson’s Disease: Diagnosis, Treatment, and Disease Progression

2001 ◽  
Vol 14 (4) ◽  
pp. 341-350
Author(s):  
Doris J. Doudet
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Single Photon ◽  
Photon Emission ◽  
Disease Diagnosis ◽  
Emission Tomography ◽  
Single Photon Emission ◽  
Positron Emission ◽  
Effect Of Therapy ◽  
The Brain

This paper reviews the abilities of positron emission tomography (PET) and single photon emission tomography (SPECT) to detect Parkinson’s disease, monitor its progression and the effect of therapy. It also provides insights on the role these two modalities provide in terms of discriminating atypical syndromes from Parkinson’s disease. Both PET and SPECT are sensitive means of detecting alterations in metabolism and blood flow in the brain and impairments in neurotransmitter function, especially dopaminergic, in the striatum and, more recently, in extrastriatal structures. To date, PET presents the added advantage of quantification, better sensitivity and resolution and a greater variety of tracers for both the dopaminergic and nondopaminergic systems.

scholarly journals Protective effects of saffron and its constituent crocetin to motor symptoms, short life span and rough-eyed phenotypes in the fly models of Parkinson’s disease in vivo

2020 ◽  
Author(s):  
Eiji Inoue ◽  
Takahiro Suzuki ◽  
Yasuharu Shimizu ◽  
Keiichi Sudo ◽  
Haruhisa Kawasaki ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Life Span ◽  
Neurodegenerative Disorder ◽  
Neuronal Cell ◽  
Crocus Sativus ◽  
Motor Symptoms ◽  
Protective Effects

AbstractParkinson’s disease (PD) is a common neurodegenerative disorder with motor symptoms linked to the loss of dopaminergic neurons in the brain. α-Synuclein is an aggregation-prone neural protein that plays a role in the pathogenesis of PD. In our previous paper, we found that saffron; the stigma of Crocus sativus Linné (Iridaceae), and its constituents (crocin and crocetin) suppressed aggregation of α-synuclein and promoted the dissociation of α-synuclein fibrils in vitro. In this study, we investigated the effect of dietary saffron and its constituent, crocetin, in vivo on a fly PD model overexpressing several mutant α-synuclein in a tissue-specific manner. Saffron and crocetin significantly suppressed the decrease of climbing ability in the Drosophila overexpressing A30P (A30P fly PD model) or G51D (G51D fly PD model) mutated α-synuclein in neurons. Saffron and crocetin extended the life span in the G51D fly PD model. Saffron suppressed the rough-eyed phenotype and the dispersion of the size histogram of the ocular long axis in A30P fly PD model in eye. Saffron had a cytoprotective effect on a human neuronal cell line with α-synuclein fibrils. These data showed that saffron and its constituent crocetin have protective effects on the progression of PD disease in animals in vivo and suggest that saffron and crocetin can be used to treat PD.

scholarly journals Effect of Harmine against Parkinson’s Disease Protein (PARK7) through Molecular Docking Studies

2021 ◽  
Vol 9 (VI) ◽  
pp. 5479-5485
Author(s):  
Love Kumar
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Molecular Docking ◽  
Neurodegenerative Disorder ◽  
Docking Studies ◽  
In Vivo Studies ◽  
Receptor Protein ◽  
Unknown Etiology

Parkinson’s disease (PD) is a common known neurodegenerative disorder with unknown etiology. It was estimated about 0.3% prevalence in the U.S population and enhance to 4 to 5% in older than 85 years. All studies were depending on the molecular docking where all ligands and protein PARK7 (PDB ID: 2RK3) were interacted by docked process. Some natural compounds was selected such as Harmine, Alloxan, Alpha spinasterol, Myrcene, and Vasicinone and PARK7 (PDB ID: 2RK3) protein. According to the PyRx and SWISS ADME result, Harmine was the only ligand which was showing minimum binding affinity. AutoDock Vina software was used for docking process between ligand (Harmine) and receptor protein PARK7 (PDB ID: 2RK3). The result was visualized under PyMol. Harmine was inhibiting the activity of PARK7 (PDB ID: 2RK3) and it may be used for the treatment of PD in future prospect after its in vitro and in vivo studies.

scholarly journals A Possible Novel Anti-Inflammatory Mechanism for the Pharmacological Prolyl Hydroxylase Inhibitor 3,4-Dihydroxybenzoate: Implications for Use as a Therapeutic for Parkinson’s Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Shankar J. Chinta ◽  
Subramanian Rajagopalan ◽  
Abirami Ganesan ◽  
Julie K. Andersen
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Microglial Activation ◽  
Nitrosative Stress ◽  
Neurodegenerative Disorder ◽  
Oxidative And Nitrosative Stress ◽  
Prolyl Hydroxylases ◽  
Age Related

Parkinson’s disease (PD) is an age-related neurodegenerative disorder characterized in part by the preferential loss of nigrostriatal dopaminergic neurons. Although the precise etiology of PD is unknown, accumulating evidence suggests that PD involves microglial activation that exerts neurotoxic effects through production of proinflammatory cytokines and increased oxidative and nitrosative stress. Thus, controlling microglial activation has been suggested as a therapeutic target for combating PD. Previously we demonstrated that pharmacological inhibition of a class of enzymes known as prolyl hydroxylases via 3,4-dihydroxybenzoate administration protected against MPTP-induced neurotoxicity, however the exact mechanisms involved were not elucidated. Here we show that this may be due to DHB’s ability to inhibit microglial activation. DHB significantly attenuated LPS-mediated induction of nitric oxide synthase and pro-inflammatory cytokines in murine BV2 microglial cellsin vitroin conjunction with reduced ROS production and activation of NFκB and MAPK pathways possibly due to up-regulation of HO-1 levels. HO-1 inhibition partially abrogates LPS-mediated NFκB activity and subsequent NO induction.In vivo, DHB pre-treatment suppresses microglial activation elicited by MPTP treatment. Our results suggest that DHB’s neuroprotective properties could be due to its ability to dampen induction of microglial activation via induction of HO-1.

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