scholarly journals The Future of Brain Imaging in Parkinson’s Disease

2018 ◽  
Vol 8 (s1) ◽  
pp. S47-S51 ◽  
Author(s):  
Rick C. Helmich ◽  
David E. Vaillancourt ◽  
David J. Brooks
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Brain Imaging ◽  
The Future

Molecular imaging of gene therapy. The future in Parkinson's disease therapy?

2005 ◽  
Vol 32 (S 4) ◽  
Author(s):  
A.H Jacobs ◽  
R Hilker ◽  
L Burghaus ◽  
W.D Heiss
Keyword(s):  
Parkinson’S Disease ◽  
Gene Therapy ◽  
Parkinson's Disease ◽  
Molecular Imaging ◽  
Disease Therapy ◽  
The Future

scholarly journals The Future of GDNF in Parkinson's Disease

2020 ◽  
Vol 12 ◽  
Author(s):  
Fredric P. Manfredsson ◽  
Nicole K. Polinski ◽  
Thyagarajan Subramanian ◽  
Nicholas Boulis ◽  
Dustin R. Wakeman ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
The Future

The future of cell therapies in the treatment of Parkinson's disease

2007 ◽  
Vol 7 (10) ◽  
pp. 1487-1498 ◽  
Author(s):  
Rocio Laguna Goya ◽  
Wei-Li Kuan ◽  
Roger A Barker
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cell Therapies ◽  
The Future

scholarly journals Back to the future: new target-validated Rab antibodies for evaluating LRRK2 signalling in cell biology and Parkinson's disease

2018 ◽  
Vol 475 (1) ◽  
pp. 185-189 ◽  
Author(s):  
Patrick A. Eyers
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cell Biology ◽  
Human Neutrophils ◽  
Rab Proteins ◽  
Rab Gtpases ◽  
Biochemical Journal ◽  
The Future ◽  
Brain Extracts ◽  
Sporadic Cases

The addition of phosphate groups to substrates allows protein kinases to regulate a myriad of biological processes, and contextual analysis of protein-bound phosphate is important for understanding how kinases contribute to physiology and disease. Leucine-rich repeat kinase 2 (LRRK2) is a Ser/Thr kinase linked to familial and sporadic cases of Parkinson's disease (PD). Recent work established that multiple Rab GTPases are physiological substrates of LRRK2, with Rab10 in particular emerging as a human substrate whose site-specific phosphorylation mirrors hyperactive LRRK2 lesions associated with PD. However, current assays to quantify Rab10 phosphorylation are expensive, time-consuming and technically challenging. In back-to-back studies reported in the Biochemical Journal, Alessi and colleagues teamed up with clinical colleagues and collaborators at the Michael J. Fox Foundation (MJFF) for Parkinson's research to develop, and validate, a panel of exquisitely sensitive phospho-specific Rab antibodies. Of particular interest, the monoclonal antibody-designated MJFF-pRAB10 detects phosphorylated Rab 10 on Thr73 in a variety of cells, brain extracts, PD-derived samples and human neutrophils, the latter representing a previously unrecognised biological resource for LRRK2 signalling analysis. In the future, these antibodies could become universal resources in the fight to understand and quantify connections between LRRK2 and Rab proteins, including those associated with clinical PD.

scholarly journals Back and to the Future: From Neurotoxin‐Induced to Human Parkinson's Disease Models

2020 ◽  
Vol 91 (1) ◽  
Author(s):  
Mikko Airavaara ◽  
Ilmari Parkkinen ◽  
Julia Konovalova ◽  
Katrina Albert ◽  
Piotr Chmielarz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Models ◽  
The Future

scholarly journals Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 778
Author(s):  
Vasco Ponciano ◽  
Ivan Miguel Pires ◽  
Fernando Reinaldo Ribeiro ◽  
Gonçalo Marques ◽  
Maria Vanessa Villasana ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Inertial Sensors ◽  
Automatic Recognition ◽  
Learning Methods ◽  
Less Invasive ◽  
Machine Learning Methods ◽  
The Future

Inertial sensors are commonly embedded in several devices, including smartphones, and other specific devices. This type of sensors may be used for different purposes, including the recognition of different diseases. Several studies are focused on the use of accelerometer signals for the automatic recognition of different diseases, and it may empower the different treatments with the use of less invasive and painful techniques for patients. This paper aims to provide a systematic review of the studies available in the literature for the automatic recognition of different diseases by exploiting accelerometer sensors. The most reliably detectable disease using accelerometer sensors, available in 54% of the analyzed studies, is the Parkinson’s disease. The machine learning methods implemented for the automatic recognition of Parkinson’s disease reported an accuracy of 94%. The recognition of other diseases is investigated in a few other papers, and it appears to be the target of further analysis in the future.

scholarly journals Microbiome changes: an indicator of Parkinson’s disease?

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Caroline Haikal ◽  
Qian-Qian Chen ◽  
Jia-Yi Li
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gut Microbiome ◽  
Dopaminergic Neuron ◽  
Alpha Synuclein ◽  
Neuron Loss ◽  
The Future ◽  
Dopaminergic Neuron Loss

AbstractParkinson’s disease is characterized by dopaminergic neuron loss and intracellular inclusions composed mainly of alpha synuclein (α-syn), but the mechanism of pathogenesis is still obscure. In recent years, more attention has been given to the gut as a key player in the initiation and progression of PD pathology. Several studies characterizing changes in the microbiome, particularly the gut microbiome, have been conducted. Although many studies found a decrease in the bacterial family Prevotellaceae and in butyrate-producing bacterial genera such as Roseburia and Faecalibacteria, and an increase in the genera Akkermansia many of the studies reported contradictory findings. In this review, we highlight the findings from the different studies and reflect on the future of microbiome studies in PD research.

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