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Identification of circulating microRNAs for the differential diagnosis of Parkinson's disease and Multiple System Atrophy

Overview of attention for article published in Frontiers in Cellular Neuroscience, June 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Title
Identification of circulating microRNAs for the differential diagnosis of Parkinson's disease and Multiple System Atrophy
Published in
Frontiers in Cellular Neuroscience, June 2014
DOI 10.3389/fncel.2014.00156
Pubmed ID
Authors

Annamaria Vallelunga, Marco Ragusa, Stefania Di Mauro, Tommaso Iannitti, Manuela Pilleri, Roberta Biundo, Luca Weis, Cinzia Di Pietro, Angela De Iuliis, Alessandra Nicoletti, Mario Zappia, Michele Purrello, Angelo Antonini

Abstract

Background: Parkinson's disease (PD) is a progressive neurodegenerative disorder which may be misdiagnosed with atypical conditions such as Multiple System Atrophy (MSA), due to overlapping clinical features. MicroRNAs (miRNAs) are small non-coding RNAs with a key role in post-transcriptional gene regulation. We hypothesized that identification of a distinct set of circulating miRNAs (cmiRNAs) could distinguish patients affected by PD from MSA and healthy individuals. Results. Using TaqMan Low Density Array technology, we analyzed 754 miRNAs and found 9 cmiRNAs differentially expressed in PD and MSA patients compared to healthy controls. We also validated a set of 4 differentially expressed cmiRNAs in PD and MSA patients vs. controls. More specifically, miR-339-5p was downregulated, whereas miR-223(*), miR-324-3p, and mir-24 were upregulated in both diseases. We found cmiRNAs specifically deregulated in PD (downregulation of miR-30c and miR-148b) and in MSA (upregulation of miR-148b). Finally, comparing MSA and PD, we identified 3 upregulated cmiRNAs in MSA serum (miR-24, miR-34b, miR-148b). Conclusions. Our results suggest that cmiRNA signatures discriminate PD from MSA patients and healthy controls and may be considered specific, non-invasive biomarkers for differential diagnosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
India 1 <1%
Czechia 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 145 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 19%
Student > Ph. D. Student 25 17%
Student > Master 15 10%
Student > Doctoral Student 15 10%
Student > Bachelor 13 9%
Other 27 18%
Unknown 27 18%
Readers by discipline Count As %
Medicine and Dentistry 27 18%
Neuroscience 25 17%
Agricultural and Biological Sciences 25 17%
Biochemistry, Genetics and Molecular Biology 15 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 16 11%
Unknown 37 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2014.
All research outputs
#6,838,576
of 22,758,963 outputs
Outputs from Frontiers in Cellular Neuroscience
#1,247
of 4,225 outputs
Outputs of similar age
#65,834
of 229,147 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#14
of 42 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,225 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 229,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.