The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Genetic Association and Altered Gene Expression of Mir-155 in Multiple Sclerosis Patients
Abstract
Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system characterized by chronic inflammation, demyelination, and axonal damage. As microRNA (miRNA)-dependent alterations in gene expression in hematopoietic cells are critical for mounting an appropriate immune response, miRNA deregulation may result in defects in immune tolerance. In this frame, we sought to explore the possible involvement of miRNAs in MS pathogenesis by monitoring the differential expression of 22 immunity-related miRNAs in peripheral blood mononuclear cells of MS patients and healthy controls, by using a microbead-based technology. Three miRNAs resulted >2 folds up-regulated in MS vs controls, whereas none resulted down-regulated. Interestingly, the most up-regulated miRNA (mir-155; fold change = 3.30; P = 0.013) was previously reported to be up-regulated also in MS brain lesions. Mir-155 up-regulation was confirmed by qPCR experiments. The role of mir-155 in MS susceptibility was also investigated by genotyping four single nucleotide polymorphisms (SNPs) mapping in the mir-155 genomic region. A haplotype of three SNPs, corresponding to a 12-kb region encompassing the last exon of BIC (the B-cell Integration Cluster non-coding RNA, from which mir-155 is processed), resulted associated with the disease status (P = 0.035; OR = 1.36, 95% CI = 1.05–1.77), suggesting that this locus strongly deserves further investigations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, miR-155 dysregulation in peripheral blood mononuclear cells (PBMCs) has been described in MS patients (Paraboschi et al. 2011).”
From MiR-124 and MiR-155 as Therapeutic Targets in Microglia-Mediated Inflammation in Multiple Sclerosis (2025) · cites this paper as Paraboschi et al. 2011
In the citing paper
“Several studies have shown that in MS pathogenesis, miR-124 as an anti-inflammatory marker is significantly downregulated, while miR-155 shows an increase.”
From MiR-124 and MiR-155 as Therapeutic Targets in Microglia-Mediated Inflammation in Multiple Sclerosis (2025) · cites this paper as Paraboschi et al. 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Taganov, K. D., Boldin, M. P., Chang, K.-J., & Baltimore, D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605298103 · Cited by 4,317
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., et al. (2007) · Cell · doi:10.1016/j.cell.2007.04.040 · Cited by 3,626
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
Requirement of bic/microRNA-155 for Normal Immune Function
Rodriguez, A., Vigorito, E., Clare, S., Warren, M. V., Couttet, P., Soond, D. R., van Dongen, S., Grocock, R. J., Das, P. P., Miska, E. A., et al. (2007) · Science · doi:10.1126/science.1139253 · Cited by 1,833
Risk Alleles for Multiple Sclerosis Identified by a Genomewide Study
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa073493 · Cited by 1,746
The genetics of multiple sclerosis: SNPs to pathways to pathogenesis
Oksenberg, J. R., Baranzini, S. E., Sawcer, S., & Hauser, S. L. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2395 · Cited by 347
Silencing MicroRNA-155 Ameliorates Experimental Autoimmune Encephalomyelitis
Murugaiyan, G., Beynon, V., Mittal, A., Joller, N., & Weiner, H. L. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003952 · Cited by 289
Jakkula, E., Leppä, V., Sulonen, A.-M., Varilo, T., Kallio, S., Kemppinen, A., Purcell, S., Koivisto, K., Tienari, P., Sumelahti, M.-L., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.01.017 · Cited by 245
Flagged first, then by citations
Research works printed but not linked: 52
- Noseworthy, 2000, Multiple sclerosis, N. Engl. J. Med, 343, 938, 10.1056/NEJM200009283431307 · DOI
- Greenstein, 2007, Current concepts of the cellular and molecular pathophysiology of multiple sclerosis, Dev. Neurobiol, 67, 1248, 10.1002/dneu.20387 · DOI
- Hauser, 2006, The neurobiology of multiple sclerosis: Genes, inflammation, and neurodegeneration, Neuron, 52, 61, 10.1016/j.neuron.2006.09.011 · DOI
- Dyment, 2004, Genetics of multiple sclerosis, Lancet Neurol, 3, 104, 10.1016/S1474-4422(03)00663-X · DOI · Paper page
- Baranzini, 2009, Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis, Hum. Mol. Genet, 18, 767, 10.1093/hmg/ddn388 · DOI · Paper page
- (2009). Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20. Nat. Genet., 41, 824–828. · DOI · Paper page
- Jia, 2009, Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci, Nat. Genet, 41, 776, 10.1038/ng.401 · DOI · Paper page
- Sanna, 2010, Variants within the immunoregulatory CBLB gene are associated with multiple sclerosis, Nat. Genet, 42, 495, 10.1038/ng.584 · DOI · Paper page
- Vyse, 1996, Genetic analysis of autoimmune disease, Cell, 85, 311, 10.1016/S0092-8674(00)81110-1 · DOI
- Hoppenbrouwers, 2011, Genetics of multiple sclerosis, Biochim. Biophys. Acta, 1812, 194, 10.1016/j.bbadis.2010.09.017 · DOI
- Stefani, 2008, Small non-coding RNAs in animal development, Nat. Rev. Mol. Cell Biol, 9, 219, 10.1038/nrm2347 · DOI
- Dai, 2011, MicroRNA, a new paradigm for understanding immunoregulation, inflammation, and autoimmune diseases, Transl. Res, 157, 163, 10.1016/j.trsl.2011.01.007 · DOI
- Shlomchik, 2001, From T to B and back again: Positive feedback in systemic autoimmune disease, Nat. Rev. Immunol, 1, 147, 10.1038/35100573 · DOI
- Goodnow, 2007, Multistep pathogenesis of autoimmune disease, Cell, 130, 25, 10.1016/j.cell.2007.06.033 · DOI
- Otaegui, 2007, Increased transcriptional activity of milk-related genes following the active phase of experimental autoimmune encephalomyelitis and multiple sclerosis, J. Immunol, 179, 4074, 10.4049/jimmunol.179.6.4074 · DOI
- Satoh, 2008, Molecular network analysis of T-cell transcriptome suggests aberrant regulation of gene expression by NF-kappaB as a biomarker for relapse of multiple sclerosis, Dis. Markers, 25, 27, 10.1155/2008/824640 · DOI
- Junker, 2009, MicroRNA profiling of multiple sclerosis lesions identifies modulators of the regulatory protein CD47, Brain, 132, 3342, 10.1093/brain/awp300 · DOI · Paper page
- Keller, 2009, Multiple sclerosis: MicroRNA expression profiles accurately differentiate patients with relapsing-remitting disease from healthy controls, PLoS One, 4, e7440:1, 10.1371/journal.pone.0007440 · DOI
- Otaegui, 2009, Differential micro RNA expression in PBMC from multiple sclerosis patients, PLoS One, 4, e6309:1, 10.1371/journal.pone.0006309 · DOI
- Cox, 2010, ANZgene Multiple Sclerosis Genetics Consortium. MicroRNAs miR-17 and miR-20a inhibit T cell activation genes and are under-expressed in MS whole blood, PLoS One, 5, e12132:1, 10.1371/journal.pone.0012132 · DOI
- Ferracin, 2010, Altered miRNA expression in T regulatory cells in course of multiple sclerosis, J. Neuroimmunol, 226, 165, 10.1016/j.jneuroim.2010.06.009 · DOI
- Lindberg, 2010, Altered expression of miR-17-5p in CD4+ lymphocytes of relapsing-remitting multiple sclerosis patients, Eur. J. Immunol, 40, 888, 10.1002/eji.200940032 · DOI
- Lindberg, 2010, Circulating microRNAs as indicators for disease course of multiple sclerosis, Mult. Scler, 16, S41
- Sievers, 2010, Effect of natalizumab on microRNA expression in B-lymphocytes of relapsing-remitting multiple sclerosis patients, Mult. Scler, 16, S197
- Fenoglio, 2011, Expression and genetic analysis of miRNAs involved in CD4+ cell activation in patients with multiple sclerosis, Neurosci. Lett, 504, 9, 10.1016/j.neulet.2011.08.021 · DOI
- Fukuda, 2005, Exploration of human miRNA target genes in neuronal differentiation, Nucleic Acids Symp. Ser, 49, 341, 10.1093/nass/49.1.341 · DOI
- Berezikov, 2006, Diversity of microRNAs in human and chimpanzee brain, Nat. Genet, 38, 1375, 10.1038/ng1914 · DOI · Paper page
- Pekarsky, 2006, Tcl1 expression in chronic lymphocytic leukemia is regulated by miR-29 and miR-181, Cancer Res, 66, 11590, 10.1158/0008-5472.CAN-06-3613 · DOI
- Cameron, 2008, Epstein-Barr virus latent membrane protein 1 induces cellular MicroRNA miR-146a, a modulator of lymphocyte signaling pathways, J. Virol, 82, 1946, 10.1128/JVI.02136-07 · DOI
- Fontana, 2007, MicroRNAs 17-5p-20a-106a control monocytopoiesis through AML1 targeting and M-CSF receptor upregulation, Nat. Cell Biol, 9, 775, 10.1038/ncb1613 · DOI · Paper page
- Li, 2007, miR-181a is an intrinsic modulator of T cell sensitivity and selection, Cell, 129, 147, 10.1016/j.cell.2007.03.008 · DOI
- Neilson, 2007, Dynamic regulation of miRNA expression in ordered stages of cellular development, Genes Dev, 21, 578, 10.1101/gad.1522907 · DOI
- Wu, 2007, miRNA profiling of naïve, effector and memory CD8 T cells, PLoS One, 2, e1020:1, 10.1371/journal.pone.0001020 · DOI
- Lodish, 2008, Micromanagement of the immune system by microRNAs, Nat. Rev. Immunol, 8, 120, 10.1038/nri2252 · DOI
- Xiao, 2008, Lymphoproliferative disease and autoimmunity in mice with increased miR-17-92 expression in lymphocytes, Nat. Immunol, 9, 405, 10.1038/ni1575 · DOI
- Tufekci, 2011, MicroRNAs and multiple sclerosis, Autoimmune Dis, 2011, 807426:1
- Hsu, 2008, miRNAMap 2.0: Genomic maps of microRNAs in metazoan genomes, Nucleic Acids Res, 36, D165, 10.1093/nar/gkm1012 · DOI
- Stanczyk, 2008, Altered expression of MicroRNA in synovial fibroblasts and synovial tissue in rheumatoid arthritis, Arthritis Rheum, 58, 1001, 10.1002/art.23386 · DOI
- Murata, 2010, Plasma and synovial fluid microRNAs as potential biomarkers of rheumatoid arthritis and osteoarthritis, Arthritis Res. Ther, 12, R86:1, 10.1186/ar3013 · DOI
- Takagi, 2010, Increased expression of microRNA in the inflamed colonic mucosa of patients with active ulcerative colitis, J. Gastroenterol. Hepatol, 25, S129, 10.1111/j.1440-1746.2009.06216.x · DOI
- Dai, 2010, Identification of a common lupus disease-associated microRNA expression pattern in three different murine models of lupus, PLoS One, 5, e14302:1, 10.1371/journal.pone.0014302 · DOI
- Divekar, 2011, Dicer insufficiency and microRNA-155 overexpression in lupus regulatory T cells: An apparent paradox in the setting of an inflammatory milieu, J. Immunol, 186, 924, 10.4049/jimmunol.1002218 · DOI
- Leng, 2011, Role of microRNA-155 in autoimmunity, Cytokine Growth Factor Rev, 22, 141, 10.1016/j.cytogfr.2011.05.002 · DOI · Paper page
- Kahn, 2010, MicroRNA-155 promotes autoimmune inflammation by enhancing inflammatory T cell development, Immunity, 33, 607, 10.1016/j.immuni.2010.09.009 · DOI · Paper page
- McFarland, 2007, Multiple sclerosis: A complicated picture of autoimmunity, Nat. Immunol, 8, 913, 10.1038/ni1507 · DOI · Paper page
- Trapp, 2008, Multiple sclerosis: An immune or neurodegenerative disorder?, Annu. Rev. Neurosci, 31, 247, 10.1146/annurev.neuro.30.051606.094313 · DOI · Paper page
- Li, 2001, Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection, Proc. Natl. Acad. Sci. USA, 98, 31, 10.1073/pnas.98.1.31 · DOI · Paper page
- Vandesompele, 2002, Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes, Genome Biol, 3, RESEARCH0034:1, 10.1186/gb-2002-3-7-research0034 · DOI · Paper page
- Polman, 2005, Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”, Ann. Neurol, 58, 840, 10.1002/ana.20703 · DOI · Paper page
- Lublin, 2005, Clinical features and diagnosis of multiple sclerosis, Neurol. Clin, 23, 1, 10.1016/j.ncl.2004.09.003 · DOI
- Purcell, 2007, PLINK: A tool set for whole-genome association and population-based linkage analyses, Am. J. Hum. Genet, 81, 559, 10.1086/519795 · DOI · Paper page
- Barrett, 2005, Haploview: Analysis and visualization of LD and haplotype maps, Bioinformatics, 21, 263, 10.1093/bioinformatics/bth457 · DOI
Cited by
Sorted by citations
MiR-155: An Important Regulator of Neuroinflammation
Zingale, V. D., Gugliandolo, A., & Mazzon, E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms23010090 · Cited by 163
MiR-124 and MiR-155 as Therapeutic Targets in Microglia-Mediated Inflammation in Multiple Sclerosis
Asl, E. R., Hosseini, S. E., Tahmasebi, F., Bolandi, N., & Barati, S. (2025) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01578-6 · Cited by 19
Metadata
- Authors
- Paraboschi, E. M., Soldà, G., Gemmati, D., Orioli, E., Zeri, G., Benedetti, M. D., Salviati, A., Barizzone, N., Leone, M., Duga, S., & Asselta, R.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2011-12-01
- Volume
- 12
- Issue
- 12
- Pages
- 8695-8712
- ISSN
- 1422-0067
- PMC
- PMC3257096
- Cited by
- 102
- References
- 8
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review