Title |
Circulating miRNAs as Diagnostic Biomarkers for Parkinson’s Disease
|
---|---|
Published in |
Frontiers in Neuroscience, September 2018
|
DOI | 10.3389/fnins.2018.00625 |
Pubmed ID | |
Authors |
Anna Elisa Roser, Lucas Caldi Gomes, Jonas Schünemann, Fabian Maass, Paul Lingor |
Abstract |
Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide. Its main neuropathological hallmarks are the degeneration of dopaminergic neurons in the substantia nigra and alpha-synuclein containing protein inclusions, called Lewy Bodies. The diagnosis of idiopathic PD is still based on the assessment of clinical criteria, leading to an insufficient diagnostic accuracy. Additionally, there is no biomarker available allowing the prediction of the disease course or monitoring the response to therapeutic approaches. So far, protein biomarker candidates such as alpha-synuclein have failed to improve diagnosis of PD. Circulating microRNAs (miRNAs) in body fluids are promising biomarker candidates for PD, as they are easily accessible by non- or minimally-invasive procedures and changes in their expression are associated with pathophysiological processes relevant for PD. Advances in miRNA analysis methods resulted in numerous recent publications on miRNAs as putative biomarkers. Here, we discuss the applicability of different body fluids as sources for miRNA biomarkers, highlight technical aspects of miRNA analysis and give an overview on published studies investigating circulating miRNAs as biomarker candidates for diagnosis of PD and other Parkinsonian syndromes. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 13% |
United States | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 135 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 19% |
Student > Master | 18 | 13% |
Student > Doctoral Student | 12 | 9% |
Researcher | 10 | 7% |
Student > Bachelor | 10 | 7% |
Other | 22 | 16% |
Unknown | 37 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 18% |
Neuroscience | 16 | 12% |
Medicine and Dentistry | 15 | 11% |
Agricultural and Biological Sciences | 10 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
Other | 27 | 20% |
Unknown | 36 | 27% |