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Träfflista för sökning "WFRF:(Padyukov Leonid) srt2:(2015-2019)"

Sökning: WFRF:(Padyukov Leonid) > (2015-2019)

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1.
  • Albrecht, Inka, et al. (författare)
  • Development of autoantibodies against muscle-specific FHL1 in severe inflammatory myopathies
  • 2015
  • Ingår i: Journal of Clinical Investigation. - : AMER SOC CLINICAL INVESTIGATION INC. - 0021-9738 .- 1558-8238. ; 125:12, s. 4612-4624
  • Tidskriftsartikel (refereegranskat)abstract
    • Mutations of the gene encoding four-and-a-half LIM domain 1 (FHL1) are the causative factor of several X-linked hereditary myopathies that are collectively termed FHL1-related myopathies. These disorders are characterized by severe muscle dysfunction and damage. Here, we have shown that patients with idiopathic inflammatory myopathies (IIMs) develop autoimmunity to FHL1, which is a muscle-specific protein. Anti-FHL1 autoantibodies were detected in 25% of IIM patients, while patients with other autoimmune diseases or muscular dystrophies were largely anti-FHL1 negative. Anti-FHL1 reactivity was predictive for muscle atrophy, dysphagia, pronounced muscle fiber damage, and vasculitis. FHL1 showed an altered expression pattern, with focal accumulation in the muscle fibers of autoantibody-positive patients compared with a homogeneous expression in anti-FHL1-negative patients and healthy controls. We determined that FHL1 is a target of the cytotoxic protease granzyme B, indicating that the generation of FHL1 fragments may initiate FHL1 autoimmunity. Moreover, immunization of myositis-prone mice with FHL1 aggravated muscle weakness and increased mortality, suggesting a direct link between anti-FHL1 responses and muscle damage. Together, our findings provide evidence that FHL1 may be involved in the pathogenesis not only of genetic FHL1-related myopathies but also of autoimmune IIM. Importantly, these results indicate that anti-FHL1 autoantibodies in peripheral blood have promising potential as a biomarker to identify a subset of severe IIM.
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2.
  • Baecklund, Fredrik, et al. (författare)
  • Possible Interaction Between Cigarette Smoking and HLA-DRB1 Variation in the Risk of Follicular Lymphoma
  • 2017
  • Ingår i: American Journal of Epidemiology. - : OXFORD UNIV PRESS INC. - 0002-9262 .- 1476-6256. ; 185:8, s. 681-687
  • Tidskriftsartikel (refereegranskat)abstract
    • Follicular lymphoma (FL) risk is strongly associated with germline genetic variation in human leukocyte antigen (HLA) class II. Cigarette smoking has been suggested to increase FL risk, primarily among women. We hypothesized that amino acids in HLA-antigen D-related beta 1 subunit (DRB1) interact with smoking in FL risk, as shown for rheumatoid arthritis. We analyzed 373 patients with FL and 818 controls from 2 population-based case-control studies in Sweden and Denmark (1999-2003). Haplotypes in HLA-DRB1 were imputed at amino acid positions 11, 13, 28, 30, and 70-74 (shared epitope). We estimated the relative risk of FL as odds ratios with 95% confidence intervals for different smoking status/haplotype combinations. Interaction was defined as departure from additivity of effects and quantified by the attributable proportion (AP). Relative to never-smokers carrying no shared epitope alleles, smoking was associated with the risk of FL among all subjects (for former smokers, odds ratio (OR) = 2.20, 95% confidence interval (CI): 1.10, 4.41; ORcurrent = 3.56, 95% CI: 1.60, 7.92) and women (ORformer = 2.95, 95% CI: 1.18, 7.37; ORcurrent = 5.63, 95% CI: 2.07, 15.3) carrying 2 shared epitope alleles but not among those carrying zero or 1 shared epitope allele. Smoking and shared epitope status interacted significantly as measured by AP (overall, AP = 0.6, 95% CI: 0.15, 1.0; for women, AP = 0.5, 95% CI: 0.005, 1.0). These results suggest a possible interaction between smoking and HLA-DRB1-associated antigen presentation in FL risk and provide a model to further unravel FL etiology.
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3.
  • Carlsson Almlöf, Jonas, et al. (författare)
  • Novel risk genes for systemic lupus erythematosus predicted by random forest classification
  • 2017
  • Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 7:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual's SLE risk we designed a random forest classifier using SNP genotype data generated on the "Immunochip" from 1,160 patients with SLE and 2,711 controls. Using gene importance scores defined by the random forest classifier, we identified 15 potential novel risk genes for SLE. Of them 12 are associated with other autoimmune diseases than SLE, whereas three genes (ZNF804A, CDK1, and MANF) have not previously been associated with autoimmunity. Random forest classification also allowed prediction of patients at risk for lupus nephritis with an area under the curve of 0.94. By allele-specific gene expression analysis we detected cis-regulatory SNPs that affect the expression levels of six of the top 40 genes designed by the random forest analysis, indicating a regulatory role for the identified risk variants. The 40 top genes from the prediction were overrepresented for differential expression in B and T cells according to RNA-sequencing of samples from five healthy donors, with more frequent over-expression in B cells compared to T cells.
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4.
  • Din, Lennox, et al. (författare)
  • Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes
  • 2019
  • Ingår i: Genetic Epidemiology. - : WILEY. - 0741-0395 .- 1098-2272. ; 43:7, s. 844-863
  • Tidskriftsartikel (refereegranskat)abstract
    • Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p =.0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.
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5.
  • Eriksson, Kristina, 1962, et al. (författare)
  • Cutting Edge: Genetic Association between IFI16 Single Nucleotide Polymorphisms and Resistance to Genital Herpes Correlates with IFI16 Expression Levels and HSV-2-Induced IFN-β Expression.
  • 2017
  • Ingår i: Journal of immunology (Baltimore, Md. : 1950). - : The American Association of Immunologists. - 1550-6606 .- 0022-1767. ; 199:8, s. 2613-2617
  • Tidskriftsartikel (refereegranskat)abstract
    • IFN-γ-inducible protein 16 (IFI16) is an immunological DNA sensor proposed to act in the cyclic GMP-AMP synthase-stimulator of IFN genes pathway. Because mice do not have a clear ortholog of IFI16, this system is not suitable for genetic studies of IFI16. In this study, we have compared the dependency on IFI16, cyclic GMP-AMP synthase, and stimulator of IFN genes for type I IFN induction by a panel of pathogenic bacteria and DNA viruses. The IFN response induced by HSV-2 was particularly dependent on IFI16. In a cohort of patients with genital herpes and healthy controls, the minor G allele of the IFI16 single nucleotide polymorphism rs2276404 was associated with resistance to infection. Furthermore, the combination of this allele with the C allele of rs1417806 was significantly overrepresented in uninfected individuals. Cells from individuals with the protective GC haplotype expressed higher levels of IFI16 and induced more IFN-β upon HSV-2 infection. These data provide genetic evidence for a role for IFI16 in protection against genital herpes.
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6.
  • Folkersen, Lasse, et al. (författare)
  • Integration of known DNA, RNA and protein biomarkers provides prediction of anti-TNF response in rheumatoid arthritis : results from the COMBINE study.
  • 2016
  • Ingår i: Molecular Medicine. - : Springer Science and Business Media LLC. - 1076-1551 .- 1528-3658. ; 22, s. 322-328
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: In rheumatoid arthritis (RA) several recent efforts have sought to discover means of predicting which patients would benefit from treatment. However, results have been discrepant with few successful replications. Our objective was to build a biobank with DNA, RNA and protein measurements to test the claim that the current state-of-the-art precision medicine will benefit RA patients.METHODS: We collected 451 blood samples from 61 healthy individuals and 185 RA patients initiating treatment, before treatment initiation and at a 3 month follow-up time. All samples were subjected to high-throughput RNA sequencing, DNA genotyping, extensive proteomics and flow cytometry measurements, as well as comprehensive clinical phenotyping. Literature review identified 2 proteins, 52 single-nucleotide polymorphisms (SNPs) and 72 gene-expression biomarkers that had previously been proposed as predictors of TNF inhibitor response (∆DAS28-CRP).RESULTS: From these published TNFi biomarkers we found that 2 protein, 2 SNP and 8 mRNA biomarkers could be replicated in the 59 TNF initiating patients. Combining these replicated biomarkers into a single signature we found that we could explain 51% of the variation in ∆DAS28-CRP. This corresponds to a sensitivity of 0.73 and specificity of 0.78 for the prediction of three month ∆DAS28-CRP better than -1.2.CONCLUSIONS: The COMBINE biobank is currently the largest collection of multi-omics data from RA patients with high potential for discovery and replication. Taking advantage of this we surveyed the current state-of-the-art of drug-response stratification in RA, and identified a small set of previously published biomarkers available in peripheral blood which predicts clinical response to TNF blockade in this independent cohort.
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8.
  • Houtman, Miranda, et al. (författare)
  • T cells are influenced by a long non-coding RNA in the autoimmune associated PTPN2 locus
  • 2018
  • Ingår i: Journal of Autoimmunity. - : ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD. - 0896-8411 .- 1095-9157. ; 90, s. 28-38
  • Tidskriftsartikel (refereegranskat)abstract
    • Non-coding SNPs in the protein tyrosine phosphatase non-receptor type 2 (PTPN2) locus have been linked with several autoimmune diseases, including rheumatoid arthritis, type I diabetes, and inflammatory bowel disease. However, the functional consequences of these SNPs are poorly characterized. Herein, we show in blood cells that SNPs in the PTPN2 locus are highly correlated with DNA methylation levels at four CpG sites downstream of PTPN2 and expression levels of the long non-coding RNA (IncRNA) LINC01882 downstream of these CpG sites. We observed that LINC01882 is mainly expressed in T cells and that anti-CD3/CD28 activated naive CD4(+) T cells downregulate the expression of LINC01882. RNA sequencing analysis of LINC01882 knockdown in Jurkat T cells, using a combination of antisense oligo-nucleotides and RNA interference, revealed the upregulation of the transcription factor ZEB1 and kinase MAP2K4, both involved in IL-2 regulation. Overall, our data suggests the involvement of LINC01882 in T cell activation and hints towards an auxiliary role of these non-coding SNPs in autoimmunity associated with the PTPN2 locus. 
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9.
  • Imgenberg-Kreuz, Juliana, et al. (författare)
  • DNA methylation mapping identifies gene regulatory effects in patients with systemic lupus erythematosus
  • 2018
  • Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 77:5, s. 736-743
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives: Systemic lupus erythematosus (SLE) is a chronic autoimmune condition with heterogeneous presentation and complex aetiology where DNA methylation changes are emerging as a contributing factor. In order to discover novel epigenetic associations and investigate their relationship to genetic risk for SLE, we analysed DNA methylation profiles in a large collection of patients with SLE and healthy individuals.Methods: DNA extracted from blood from 548 patients with SLE and 587 healthy controls were analysed on the Illumina HumanMethylation 450 k BeadChip, which targets 485 000 CpG sites across the genome. Single nucleotide polymorphism (SNP) genotype data for 196 524 SNPs on the Illumina ImmunoChip from the same individuals were utilised for methylation quantitative trait loci (cis-meQTLs) analyses.Results: We identified and replicated differentially methylated CpGs (DMCs) in SLE at 7245 CpG sites in the genome. The largest methylation differences were observed at type I interferon-regulated genes which exhibited decreased methylation in SLE. We mapped cis-meQTLs and identified genetic regulation of methylation levels at 466 of the DMCs in SLE. The meQTLs for DMCs in SLE were enriched for genetic association to SLE, and included seven SLE genome-wide association study (GWAS) loci: PTPRC (CD45), MHC-class III, UHRF1BP1, IRF5, IRF7, IKZF3 and UBE2L3. In addition, we observed association between genotype and variance of methylation at 20 DMCs in SLE, including at the HLA-DQB2 locus.Conclusions: Our results suggest that several of the genetic risk variants for SLE may exert their influence on the phenotype through alteration of DNA methylation levels at regulatory regions of target genes.
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10.
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