13 research outputs found

    Pregnancy-Induced Changes in microRNA Expression in Multiple Sclerosis

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    Pregnancy affects the disease course in multiple sclerosis (MS), particularly in the third trimester, where the relapse rate is reduced by as much as two thirds. This study aimed at identifying changes in microRNA (miRNA) and immune cell phenotypes in pregnant MS patients. Discovery and validation studies to detect differentially expressed miRNAs were performed with quantitative real-time PCR on peripheral blood mononuclear cells (PBMC). Flow cytometry analysis was performed on PBMC stained with antibodies directed against surface markers of antigen presenting cells (APCs), NK-cells, NKT cells, CD4+ and CD8+ T cells and subsets of these cell types, including PDL1 and PDL2 expressing subsets. RNA was extracted from whole blood, monocytes, and NK-cells to investigate expression and correlation between regulated miRNAs and mRNAs. In total, 15 miRNAs were validated to be differentially expressed between third trimester pregnant and postpartum MS patients (Benjamini-Hochberg false discovery rate from p = 0.03-0.00004). Of these, 12 miRNAs were downregulated in pregnancy and 6 of the 15 miRNAs were altered by more than +/- 2-fold (+2.99- to -6.38-fold). Pregnant MS patients had a highly significant increase in the percentage of monocytes and a decrease of NK-cells and myeloid dendritic cells compared to non-pregnant MS patients. We confirm previous reports of a relative increase in CD56-bright NK-cells and a decrease in CD56-dim NK-cells in third trimester of pregnancy and report an increase in non-committed follicular helper cells. PDL1 and PDL2 expression was increased in pregnant patients together with IL10. Also, in monocytes IL10, PDL1, and PDL2 were upregulated whereas miR-1, miR-20a, miR-28, miR-95, miR-146a, miR-335, and miR-625 were downregulated between pregnant and untreated MS patients. IL10, PDL1, and PDL2 were predicted targets of MS pregnancy-changed miRNAs, further supported by their negative correlations. Additionally, previously identified pregnancy-regulated mRNAs were identified as predicted targets of the miRNAs. PDL1 and PDL2 bind PD-1 expressed on T cells with an inhibitory effect on T-cell proliferation and increase in IL10 production. These results indicate that some of the effects behind the disease-ameliorating third trimester of pregnancy might be caused by changed expression of miRNAs and immunoregulatory molecules in monocytes

    Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

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    Multiple sclerosis is a complex neurological disease, with 3c20% of risk heritability attributable to common genetic variants, including >230 identified by genome-wide association studies. Multiple strands of evidence suggest that much of the remaining heritability is also due to additive effects of common variants rather than epistasis between these variants or mutations exclusive to individual families. Here, we show in 68,379 cases and controls that up to 5% of this heritability is explained by low-frequency variation in gene coding sequence. We identify four novel genes driving MS risk independently of common-variant signals, highlighting key pathogenic roles for regulatory T cell homeostasis and regulation, IFN\u3b3 biology, and NF\u3baB signaling. As low-frequency variants do not show substantial linkage disequilibrium with other variants, and as coding variants are more interpretable and experimentally tractable than non-coding variation, our discoveries constitute a rich resource for dissecting the pathobiology of MS. In a large multi-cohort study, unexplained heritability for multiple sclerosis is detected in low-frequency coding variants that are missed by GWAS analyses, further underscoring the role of immune genes in MS pathology

    Evidence for oestrogen sensitivity in perinatal depression: pharmacological sex hormone manipulation study

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    Background Enhanced sensitivity to oestrogen signalling may drive increased risk for depressive symptoms when exposed to peripartum sex-steroid hormone fluctuations.Aim Testing if 116 pre-identified sex steroid-responsive transcripts that predicted perinatal depression (PND) translates to a pharmacological model of hormone-induced mood changes.Method We generated longitudinal, genome-wide gene-expression and DNA-methylation data from 60 women exposed to a gonadotrophin-releasing hormone agonist (GnRHa) or placebo. We used linear mixed-effect models to assess differences between baseline and follow-up for gene expression and DNA methylation in the biphasic ovarian response to GnRHa.Results Of the 116 PND-predictive transcripts, a significant (19%) overlap was observed with those differentially expressed post-GnRHa at both early and later follow-up, indicating sustained effects. Similarly, 49% of tested genes were differentially methylated post-GnRHa at the late follow-up. Within the GnRHa group, a large proportion of PND genes were significantly associated (gene expression; DNA methylation) with changes in depressive symptoms (28%; 66%), oestradiol levels (49%; 66%) and neocortex serotonin transporter binding (8%; 45%) between baseline and follow-up.Conclusions Our data bridge clinical PND biomarkers with a pharmacological model of sex hormone-induced mood changes and directly relate oestrogen-induced biological changes with depressive symptoms and associated serotonin-signalling changes. Our data highlight that individual variations in molecular sensitivity to oestrogen associate with susceptibility to hormone-induced mood changes and hold promise for candidate biomarkers.Declaration of interest V.G.F. received honorarium for being a speaker for H. Lundbeck A/S. E.B.B. receives research funding from Böhringer Ingelheim to investigate FKBP5 as a potential drug target for depression.</p

    Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

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    We analyzed genetic data of 47,429 multiple sclerosis (MS) and 68,374 control subjects and established a reference map of the genetic architecture of MS that includes 200 autosomal susceptibility variants outside the major histocompatibility complex (MHC), one chromosome X variant, and 32 variants within the extended MHC. We used an ensemble of methods to prioritize 551 putative susceptibility genes that implicate multiple innate and adaptive pathways distributed across the cellular components of the immune system. Using expression profiles from purified human microglia, we observed enrichment for MS genes in these brain-resident immune cells, suggesting that these may have a role in targeting an autoimmune process to the central nervous system, although MS is most likely initially triggered by perturbation of peripheral immune responses

    The Genetic Association of Variants in CD6, TNFRSF1A and IRF8 to Multiple Sclerosis: A Multicenter Case-Control Study

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    Background In the recently published meta-analysis of multiple sclerosis genome-wide association studies De Jager et al. identified three single nucleotide polymorphisms associated to MS: rs17824933 (CD6), rs1800693 (TNFRSF1A) and rs17445836 (61.5 kb from IRF8). To refine our understanding of these associations we sought to replicate these findings in a large more extensive independent sample set of 11 populations of European origin. Principal Findings We calculated individual and combined associations using a meta-analysis method by Kazeem and Farral (2005). We confirmed the association of rs1800693 in TNFRSF1A (p 4.19×10−7, OR 1.12, 7,665 cases, 8,051 controls) and rs17445836 near IRF8 (p 5.35×10−10, OR 0.84, 6,895 cases, 7,580 controls and 596 case-parent trios) The SNP rs17824933 in CD6 also showed nominally significant evidence for association (p 2.19×10−5, OR 1.11, 8,047 cases, 9,174 controls, 604 case-parent trios). Conclusions Variants in TNFRSF1A and in the vicinity of IRF8 were confirmed to be associated in these independent cohorts, which supports the role of these loci in etiology of multiple sclerosis. The variant in CD6 reached genome-wide significance after combining the data with the original meta-analysis. Fine mapping is required to identify the predisposing variants in the loci and future functional studies will refine their molecular role in MS pathogenesis.United States. National Institutes of Health (grant RO1 NS 43559)United States. National Institutes of Health (grant RO1 NS049477)Academy of Finland. Center of Excellence for Complex Disease Genetics (grant 213506)Academy of Finland. Center of Excellence for Complex Disease Genetics (grant 129680)Sigrid Jusélius stiftelseBiocentrum Helsinki FoundationHelsinki University. Central Hospital Research FoundationNeuropromise EU project (grant LSHM-CT-2005-018637)Wellcome Trust (London, England) (grant 089061/Z/09/Z)Cambridge NIHR Biomedical Research CentreThe Danish Council for Strategic Research (grant 2142-08-0039)Italian Foundation for Multiple Sclerosis (FISM grants 2008/R/11)Regione Piemonte Ricerca Sanitaria Finalizzata (2007, 2008)Fondazione Cariplo (grant n° 2010- 0728)Italian Ministry of HealthCRT FoundationNational Multiple Sclerosis Society (U.S.)Swiss Multiple Sclerosis SocietyUnited States. National Institutes of Health (R01 NS067305

    Class II HLA interactions modulate genetic risk for multiple sclerosis

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    Association studies have greatly refined the understanding of how variation within the human leukocyte antigen (HLA) genes influences risk of multiple sclerosis. However, the extent to which major effects are modulated by interactions is poorly characterized. We analyzed high-density SNP data on 17,465 cases and 30,385 controls from 11 cohorts of European ancestry, in combination with imputation of classical HLA alleles, to build a high-resolution map of HLA genetic risk and assess the evidence for interactions involving classical HLA alleles. Among new and previously identified class II risk alleles (HLA-DRB1*15:01, HLA-DRB1*13:03, HLA-DRB1*03:01, HLA-DRB1*08:01 and HLA-DQB1*03:02) and class I protective alleles (HLA-A*02:01, HLA-B*44:02, HLA-B*38:01 and HLA-B*55:01), we find evidence for two interactions involving pairs of class II alleles: HLA-DQA1*01:01-HLA-DRB1*15:01 and HLA-DQB1*03:01-HLA-DQB1*03:02. We find no evidence for interactions between classical HLA alleles and non-HLA risk-associated variants and estimate a minimal effect of polygenic epistasis in modulating major risk alleles.status: publishe

    NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk

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    A recent study by Wang et al. (2016a) claims that the low-frequency variant NR1H3 p.Arg415Gln is sufficient to cause multiple sclerosis in certain individuals and determines a patient's likelihood of primary progressive disease. We sought to replicate this finding in the International MS Genetics Consortium (IMSGC) patient collection, which is 13-fold larger than the collection of Wang et al. (2016a), but we find no evidence that this variant is associated with either MS or disease subtype. Wang et al. (2016a) also report a common variant association in the region, which we show captures the association the IMSGC reported in 2013. Therefore, we conclude that the reported low-frequency association is a false positive, likely generated by insufficient sample size. The claim of NR1H3 mutations describing a Mendelian form of MS-of which no examples exist-can therefore not be substantiated by data. This Matters Arising paper is in response to Wang et al. (2016a), published in Neuron. See also the related Matters Arising paper by Minikel and MacArthur (2016) and the response by Wang et al. (2016b), published in this issue

    NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk

    No full text
    A recent study by Wang et al. (2016a) claims that the low-frequency variant NR1H3 p.Arg415Gln is sufficient to cause multiple sclerosis in certain individuals and determines a patient's likelihood of primary progressive disease. We sought to replicate this finding in the International MS Genetics Consortium (IMSGC) patient collection, which is 13-fold larger than the collection of Wang et al. (2016a), but we find no evidence that this variant is associated with either MS or disease subtype. Wang et al. (2016a) also report a common variant association in the region, which we show captures the association the IMSGC reported in 2013. Therefore, we conclude that the reported low-frequency association is a false positive, likely generated by insufficient sample size. The claim of NR1H3 mutations describing a Mendelian form of MS-of which no examples exist-can therefore not be substantiated by data. This Matters Arising paper is in response to Wang et al. (2016a), published in Neuron. See also the related Matters Arising paper by Minikel and MacArthur (2016) and the response by Wang et al. (2016b), published in this issue.publisher: Elsevier articletitle: NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk journaltitle: Neuron articlelink: http://dx.doi.org/10.1016/j.neuron.2016.09.052 associatedlink: http://dx.doi.org/10.1016/j.neuron.2016.09.054 associatedlink: http://dx.doi.org/10.1016/j.neuron.2016.09.053 associatedlink: http://dx.doi.org/10.1016/j.neuron.2016.04.039 content_type: article copyright: © 2016 Elsevier Inc.status: publishe
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