| Title |
Viruses and Multiple Sclerosis: From Mechanisms and Pathways to Translational Research Opportunities
|
|---|---|
| Published in |
Molecular Neurobiology, April 2017
|
| DOI | 10.1007/s12035-017-0530-6 |
| Pubmed ID | |
| Authors |
Alexios-Fotios A. Mentis, Efthimios Dardiotis, Nikolaos Grigoriadis, Efthimia Petinaki, Georgios M. Hadjigeorgiou |
| Abstract |
Viruses are directly or indirectly implicated in multiple sclerosis (MS). Here, we review the evidence on the virus-related pathophysiology of MS, introduce common experimental models, and explore the ways in which viruses cause demyelination. By emphasizing knowledge gaps, we highlight future research directions for effective MS diagnostics and therapies: (i) identifying biomarkers for at-risk individuals, (ii) searching for direct evidence of specific causative viruses, (iii) establishing the contribution of host genetic factors and viruses, and (iv) investigating the contribution of immune regulation at extra-CNS sites. Research in these areas is likely to be facilitated by the application of high-throughput technologies, the development of systems-based bioinformatic approaches, careful selection of experimental models, and the acquisition of high-quality clinical material for tissue-based research. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Researcher | 10 | 15% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 6 | 9% |
| Other | 11 | 16% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 13% |
| Neuroscience | 8 | 12% |
| Immunology and Microbiology | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Agricultural and Biological Sciences | 6 | 9% |
| Other | 10 | 15% |
| Unknown | 21 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 January 2019.
All research outputs
#17,890,958
of 22,968,808 outputs
Outputs from Molecular Neurobiology
#2,348
of 3,478 outputs
Outputs of similar age
#221,439
of 310,521 outputs
Outputs of similar age from Molecular Neurobiology
#75
of 120 outputs
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.