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      miRNA 548a-3p as biomarker of NEDA-3 at 2 years in multiple sclerosis patients treated with fingolimod

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          Abstract

          Background

          Multiple sclerosis (MS) is a disabling autoimmune demyelinating disorder affecting young people and causing significant disability. In the last decade, different microRNA (miRNA) expression patterns have been associated to several treatment response therapies such as interferon and glatiramer acetate. Nowadays, there is increasing interest in the potential role of miRNA as treatment response biomarkers to the most recent oral and intravenous treatments. In this study, we aimed to evaluate serum miRNAs as biomarkers of No Evidence of Disease Activity (NEDA-3) at 2 years in patients with relapsing remitting MS (RRMS) treated with fingolimod.

          Main body

          A Discovery cohort of 31 RRMS patients treated with fingolimod were identified from the CLIMB study and classified as No Evidence of Disease Activity (NEDA-3) or Evidence of Disease Activity (EDA-3) after 2 years on treatment. Levels of miRNA expression were measured at 6 months using human serum miRNA panels and compared in EDA-3 and NEDA-3 groups using the Wilcoxon rank sum test. A set of differentially expressed miRNA was further validated in an independent cohort of 22 fingolimod-treated patients. We found that 548a-3p serum levels were higher levels in fingolimod-treated patients classified as NEDA-3, compared to the EDA-3 group in both the Discovery ( n = 31; p = 0.04) and Validation ( n = 22; p = 0.03) cohorts 6 months after treatment initiation; miR-548a-3p provided an AUC of 0.882 discriminating patients with NEDA-3 at 2 years in the Validation cohort.

          Conclusion

          Our results show differences in miR-548a-3p expression at 6 months after fingolimod start in patients with MS with NEDA-3 at 2 years. These results provide class III evidence of the use of miR-548a-3p as biomarker of NEDA-3 in patients with fingolimod.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12974-023-02811-z.

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          Most cited references29

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Circulating microRNAs as stable blood-based markers for cancer detection.

            Improved approaches for the detection of common epithelial malignancies are urgently needed to reduce the worldwide morbidity and mortality caused by cancer. MicroRNAs (miRNAs) are small ( approximately 22 nt) regulatory RNAs that are frequently dysregulated in cancer and have shown promise as tissue-based markers for cancer classification and prognostication. We show here that miRNAs are present in human plasma in a remarkably stable form that is protected from endogenous RNase activity. miRNAs originating from human prostate cancer xenografts enter the circulation, are readily measured in plasma, and can robustly distinguish xenografted mice from controls. This concept extends to cancer in humans, where serum levels of miR-141 (a miRNA expressed in prostate cancer) can distinguish patients with prostate cancer from healthy controls. Our results establish the measurement of tumor-derived miRNAs in serum or plasma as an important approach for the blood-based detection of human cancer.
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              Gene silencing by microRNAs: contributions of translational repression and mRNA decay.

              Despite their widespread roles as regulators of gene expression, important questions remain about target regulation by microRNAs. Animal microRNAs were originally thought to repress target translation, with little or no influence on mRNA abundance, whereas the reverse was thought to be true in plants. Now, however, it is clear that microRNAs can induce mRNA degradation in animals and, conversely, translational repression in plants. Recent studies have made important advances in elucidating the relative contributions of these two different modes of target regulation by microRNAs. They have also shed light on the specific mechanisms of target silencing, which, although it differs fundamentally between plants and animals, shares some common features between the two kingdoms.
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                Author and article information

                Contributors
                alicia.gonzalez.martinez@live.com
                rpatel84@bwh.harvard.edu
                bchealy@mgh.harvard.edu
                hlokhande@bwh.harvard.edu
                mail2anupaul@gmail.com
                ssaxena3@bwh.harvard.edu
                mpolgar@bwh.harvard.edu
                hweiner@rics.bwh.harvard.edu
                tchitnis@rics.bwh.harvard.edu
                Journal
                J Neuroinflammation
                J Neuroinflammation
                Journal of Neuroinflammation
                BioMed Central (London )
                1742-2094
                30 May 2023
                30 May 2023
                2023
                : 20
                : 131
                Affiliations
                [1 ]GRID grid.62560.37, ISNI 0000 0004 0378 8294, Department of Neurology, Translational Neuroimmunology Research Center (TNRC), Ann Romney Center for Neurologic Diseases (ARCND), , Brigham and Women’s Hospital, ; 60 Fenwood Road, 9002K, Boston, MA 02115 USA
                [2 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, ; Boston, MA 02115 USA
                [3 ]GRID grid.62560.37, ISNI 0000 0004 0378 8294, Department of Neurology, Brigham MS Center, , Brigham and Women’s Hospital, ; Boston, MA 02115 USA
                Author information
                http://orcid.org/0000-0002-1228-1503
                http://orcid.org/0000-0002-9897-4422
                Article
                2811
                10.1186/s12974-023-02811-z
                10227972
                71054211-b4d9-42eb-b9d8-72872e13cb18
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 3 March 2023
                : 19 May 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010629, Fulbright Association;
                Award ID: Spain-US Fulbright grant
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: UH3TR000890
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000005, U.S. Department of Defense;
                Award ID: W81XWH1810648
                Award Recipient :
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Neurosciences
                mirna,long-term,disability,edss,mir-548a-3p,neda-3,multiple sclerosis,biomarker,rrms
                Neurosciences
                mirna, long-term, disability, edss, mir-548a-3p, neda-3, multiple sclerosis, biomarker, rrms

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