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Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients

Overview of attention for article published in PLOS ONE, July 2009
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Title
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
Published in
PLOS ONE, July 2009
DOI 10.1371/journal.pone.0006309
Pubmed ID
Authors

David Otaegui, Sergio E. Baranzini, Ruben Armañanzas, Borja Calvo, Maider Muñoz-Culla, Puya Khankhanian, Iñaki Inza, Jose A. Lozano, Tamara Castillo-Triviño, Ana Asensio, Javier Olaskoaga, Adolfo López de Munain

Abstract

Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: the microRNA or miRNA. The aim of this work is to analyze the possible role of miRNAs in multiple sclerosis, focusing on the relapse stage. We have analyzed the expression patterns of 364 miRNAs in PBMC obtained from multiple sclerosis patients in relapse status, in remission status and healthy controls. The expression patterns of the miRNAs with significantly different expression were validated in an independent set of samples. In order to determine the effect of the miRNAs, the expression of some predicted target genes of these were studied by qPCR. Gene interaction networks were constructed in order to obtain a co-expression and multivariate view of the experimental data. The data analysis and later validation reveal that two miRNAs (hsa-miR-18b and hsa-miR-599) may be relevant at the time of relapse and that another miRNA (hsa-miR-96) may be involved in remission. The genes targeted by hsa-miR-96 are involved in immunological pathways as Interleukin signaling and in other pathways as wnt signaling. This work highlights the importance of miRNA expression in the molecular mechanisms implicated in the disease. Moreover, the proposed involvement of these small molecules in multiple sclerosis opens up a new therapeutic approach to explore and highlight some candidate biomarker targets in MS.

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Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Germany 1 <1%
New Zealand 1 <1%
India 1 <1%
China 1 <1%
United States 1 <1%
Unknown 187 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 24%
Student > Ph. D. Student 41 21%
Student > Master 26 13%
Student > Bachelor 22 11%
Other 11 6%
Other 29 15%
Unknown 18 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 34%
Medicine and Dentistry 43 22%
Biochemistry, Genetics and Molecular Biology 25 13%
Neuroscience 14 7%
Computer Science 8 4%
Other 19 10%
Unknown 19 10%