Title |
Small non-coding RNA signature in multiple sclerosis patients after treatment with interferon-β
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Published in |
BMC Medical Genomics, May 2014
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DOI | 10.1186/1755-8794-7-26 |
Pubmed ID | |
Authors |
Bruna De Felice, Paolo Mondola, Anna Sasso, Giuseppe Orefice, Vincenzo Bresciamorra, Giovanni Vacca, Elio Biffali, Marco Borra, Raimondo Pannone |
Abstract |
Non-coding small RNA molecules play pivotal roles in cellular and developmental processes by regulating gene expression at the post-transcriptional level. In human diseases, the roles of the non-coding small RNAs in specific degradation or translational suppression of the targeted mRNAs suggest a potential therapeutic approach of post-transcriptional gene silencing that targets the underlying disease etiology. The involvement of non-coding small RNAs in the pathogenesis of neurodegenerative diseases such as Alzheimer's , Parkinson's disease and Multiple Sclerosis has been demonstrated. Multiple sclerosis (MS) is an autoimmune disease of the central nervous system, characterized by chronic inflammation, demyelination and scarring as well as a broad spectrum of signs and symptoms. The current standard treatment for SM is interferon ß (IFNß) that is less than ideal due to side effects. In this study we administered the standard IFN-ß treatment to Relapsing-Remitting MS patients, all responder to the therapy; then examined their sncRNA expression profiles in order to identify the ncRNAs that were associated with MS patients' response to IFNß. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 1% |
Unknown | 66 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 16 | 24% |
Student > Ph. D. Student | 15 | 22% |
Student > Master | 6 | 9% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 4 | 6% |
Other | 8 | 12% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 16 | 24% |
Medicine and Dentistry | 9 | 13% |
Neuroscience | 8 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 8 | 12% |
Unknown | 16 | 24% |