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| 2. |
- Arvidsson, Gustav, et al.
(författare)
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Multimodal Single-Cell Sequencing of B Cells in Primary Sjögren's Syndrome
- 2024
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Ingår i: Arthritis & Rheumatology. - 2326-5191 .- 2326-5205. ; 76:2, s. 255-267
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Tidskriftsartikel (refereegranskat)abstract
- Objective. B cells are important in the pathogenesis of primary Sjögren's syndrome (pSS). Patients positive for Sjögren's syndrome antigen A/Sjögren syndrome antigen B (SSA/SSB) autoantibodies are more prone to systemic disease manifestations and adverse outcomes. We aimed to determine the role of B cell composition, gene expression, and B cell receptor usage in pSS subgroups stratified for SSA/SSB antibodies.Methods. Over 230,000 B cells were isolated from peripheral blood of patients with pSS (n = 6 SSA−, n = 8 SSA+ single positive and n = 10 SSA/SSB+ double positive) and four healthy controls and processed for single-cell RNA sequencing (scRNA-seq) and single-cell variable, diversity, and joining (VDJ) gene sequencing (scVDJ-seq).Results. We show that SSA/SSB+ patients present the highest and lowest proportion of naïve and memory B cells, respectively, and the highest up-regulation of interferon-induced genes across all B cell subtypes. Differential usage of IGHV showed that IGHV1-69 and IGHV4-30-4 were more often used in all pSS subgroups compared with controls. Memory B cells from SSA/SSB+ patients displayed a higher proportion of cells with unmutated VDJ transcripts compared with other pSS patient groups and controls, indicating altered somatic hypermutation processes. Comparison with previous studies revealed heterogeneous clonotype pools, with little overlap in CDR3 sequences. Joint analysis using scRNA-seq and scVDJ-seq data allowed unsupervised stratification of patients with pSS and identified novel parameters that correlated to disease manifestations and antibody status.Conclusion. We describe heterogeneity and molecular characteristics in B cells from patients with pSS, providing clues to intrinsic differences in B cells that affect the phenotype and outcome and allowing stratification of patients with pSS at improved resolution.
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| 3. |
- Björk, Albin, et al.
(författare)
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Protein and DNA methylation-based scores as surrogate markers for interferon system activation in patients with primary Sjögren's syndrome
- 2020
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Ingår i: RMD Open. - : BMJ PUBLISHING GROUP. - 2056-5933. ; 6:1
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Standard assessment of interferon (IFN) system activity in systemic rheumatic diseases depends on the availability of RNA samples. In this study, we describe and evaluate alternative methods using plasma, serum and DNA samples, exemplified in the IFN-driven disease primary Sjogren's syndrome (pSS).Methods: Patients with pSS seropositive or negative for anti-SSA/SSB and controls were included. Protein-based IFN (pIFN) scores were calculated from levels of PD-1, CXCL9 and CXCL10. DNA methylation-based (DNAm) IFN scores were calculated from DNAm levels at RSAD2, IFIT1 and IFI44L. Scores were compared with mRNA-based IFN scores measured by quantitative PCR (qPCR), Nanostring or RNA sequencing (RNAseq).Results: mRNA-based IFN scores displayed strong correlations between B cells and monocytes (r=0.93 and 0.95, p<0.0001) and between qPCR and Nanostring measurements (r=0.92 and 0.92, p<0.0001). The pIFN score in plasma and serum was higher in patients compared with controls (p<0.0001) and correlated well with mRNA-based IFN scores (r=0.62-0.79, p<0.0001), as well as with each other (r=0.94, p<0.0001). Concordance of classification as 'high' or 'low' IFN signature between the pIFN score and mRNA-based IFN scores ranged from 79.5% to 88.6%, and the pIFN score was effective at classifying patients and controls (area under the curve, AUC=0.89-0.93, p<0.0001). The DNAm IFN score showed strong correlation to the RNAseq IFN score (r=0.84, p<0.0001) and performed well in classifying patients and controls (AUC=0.96, p<0.0001).Conclusions: We describe novel methods of assessing IFN system activity in plasma, serum or DNA samples, which may prove particularly valuable in studies where RNA samples are not available.
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| 4. |
- Bolin, Karin, 1982-, et al.
(författare)
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Variants in BANK1 are associated with lupus nephritis
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Background: Lupus nephritis (LN) is a cause of significant morbidity in SLE. While the genetic background to SLE has been well characterized, less is known about genes predisposing to LN.Methods: The study consisted of 2886 SLE patients, including 947 (33%) with LN. The discovery cohort (Sweden, n=1091) and replication cohort 1 (US, n=962) were genotyped on the Immunochip and replication cohort 2 (Norway/Denmark, n=833) on a custom array chip. Allele frequencies were compared between patients with LN, proliferative nephritis, end-stage renal disease and LN negative patients. SNPs with p-value <0.001 in the discovery cohort were analyzed in replication cohort 1. Ten SNPs associated with LN in the discovery cohort (p<0.0002) were genotyped in replication cohort 2. DNA methylation data were available for 180 LN patients from the discovery cohort.Results: In the discovery cohort, six gene loci were associated with LN (p<1x10-4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y and PHCA). SNPs in BANK1 showed the strongest association with LN in replication cohort 1 (p=9.5x10-4), with a tendency for an association in replication cohort 2 (p=0.052). In a meta-analysis of all three cohorts the association between LN and BANK1 rs4699259, was strengthened (p=1.7x10‑7). There were no associations to proliferative nephritis or ESRD in the meta-analysis. Methylation quantitative trait loci (MeQTL) effects between a CpG site and several SNPs in BANK1 were identified.Conclusion: Genetic variations in BANK1 are associated with LN. There is evidence for genetic regulation of DNA methylation within the BANK1 locus, however, the exact role of BANK1 in LN pathogenesis remains to be elucidated.
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| 5. |
- Bolin, Karin, et al.
(författare)
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Variants in BANK1 are associated with lupus nephritis of European ancestry
- 2021
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Ingår i: Genes and Immunity. - : Springer Nature. - 1466-4879 .- 1476-5470. ; 22:3, s. 194-202
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Tidskriftsartikel (refereegranskat)abstract
- The genetic background of lupus nephritis (LN) has not been completely elucidated. We performed a case-only study of 2886 SLE patients, including 947 (33%) with LN. Renal biopsies were available from 396 patients. The discovery cohort (Sweden, n = 1091) and replication cohort 1 (US, n = 962) were genotyped on the Immunochip and replication cohort 2 (Denmark/Norway, n = 833) on a custom array. Patients with LN, proliferative nephritis, or LN with end-stage renal disease were compared with SLE without nephritis. Six loci were associated with LN (p < 1 × 10−4, NFKBIA, CACNA1S, ITGA1, BANK1, OR2Y, and ACER3) in the discovery cohort. Variants in BANK1 showed the strongest association with LN in replication cohort 1 (p = 9.5 × 10−4) and proliferative nephritis in a meta-analysis of discovery and replication cohort 1. There was a weak association between BANK1 and LN in replication cohort 2 (p = 0.052), and in the meta-analysis of all three cohorts the association was strengthened (p = 2.2 × 10−7). DNA methylation data in 180 LN patients demonstrated methylation quantitative trait loci (meQTL) effects between a CpG site and BANK1 variants. To conclude, we describe genetic variations in BANK1 associated with LN and evidence for genetic regulation of DNA methylation within the BANK1 locus. This indicates a role for BANK1 in LN pathogenesis.
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| 6. |
- Carlsson Almlöf, Jonas, et al.
(författare)
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Novel risk genes for systemic lupus erythematosus predicted by random forest classification
- 2017
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 7:1
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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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| 7. |
- Grundberg, Ida, 1982-, et al.
(författare)
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Diagnostic mutation testing in situ in routine FFPE tissue sections for treatment prediction in clinical oncology
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Activating mutations in the KRAS gene are present in different cancer types and are strongly associated with resistance to epidermal growth factor receptor (EGFR) inhibitor therapy. Hence there is a requirement for sensitive KRAS mutation analysis to determine the most suitable treatment for the patients. Also, little is known about the impact of tumor heterogeneity with regard to KRAS mutation status in different sub-clones during tumorigenesis, and if this is important for treatment response and prognosis. To improve the diagnostic accuracy, we developed an RNA-based genotyping assay that targets KRAS-mutations in codon 12 and 13 in situ on tissue samples by the use of multiple mutation specific padlock probes and rolling-circle amplification. Thus, the distribution of wild-type (green rolling-circle products) and mutated (red rolling-circle products) KRAS alleles can be determined for single cancer cells in different parts of a heterogeneous tumor without the use of microdissection. We demonstrate reliable detection of KRAS point mutations on cytologic tumor imprints as well as on fresh frozen and formalin-fixed paraffin-embedded tissue sections from colorectal and lung cancer. This in situ method offers single cell mutation detection for diagnostics and holds great promise as a tool to investigate the role of oncogenic mutations in complex tumor tissues.
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| 8. |
- Grundberg, Ida, et al.
(författare)
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In situ mutation detection and visualization of intratumor heterogeneity for cancer research and diagnostics
- 2013
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Ingår i: Oncotarget. - : Impact Journals, LLC. - 1949-2553. ; 4:12, s. 2407-2418
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Tidskriftsartikel (refereegranskat)abstract
- Current assays for somatic mutation analysis are based on extracts from tissue sections that often contain morphologically heterogeneous neoplastic regions with variable contents of genetically normal stromal and inflammatory cells, obscuring the results of the assays. We have developed an RNA-based in situ mutation assay that targets oncogenic mutations in a multiplex fashion that resolves the heterogeneity of the tissue sample. Activating oncogenic mutations are targets for a new generation of cancer drugs. For anti-EGFR therapy prediction, we demonstrate reliable in situ detection of KRAS mutations in codon 12 and 13 in colon and lung cancers in three different types of routinely processed tissue materials. High-throughput screening of KRAS mutation status was successfully performed on a tissue microarray. Moreover, we show how the patterns of expressed mutated and wild-type alleles can be studied in situ in tumors with complex combinations of mutated EGFR, KRAS and TP53. This in situ method holds great promise as a tool to investigate the role of somatic mutations during tumor progression and for prediction of response to targeted therapy.
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| 9. |
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| 10. |
- Imgenberg-Kreuz, Juliana, et al.
(författare)
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DNA Methylation-Based Interferon Scores Associate With Sub-Phenotypes in Primary Sjögren's Syndrome
- 2021
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Ingår i: Frontiers in Immunology. - : Frontiers Media S.A.. - 1664-3224. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Primary Sjogren's syndrome (pSS) is an autoimmune inflammatory disease with profound clinical heterogeneity, where excessive activation of the type I interferon (IFN) system is considered one of the key mechanisms in disease pathogenesis. Here we present a DNA methylation-based IFN system activation score (DNAm IFN score) and investigate its potential associations with sub-phenotypes of pSS. The study comprised 100 Swedish patients with pSS and 587 Swedish controls. For replication, 48 patients with pSS from Stavanger, Norway, were included. IFN scores were calculated from DNA methylation levels at the IFN-induced genes RSAD2, IFIT1 and IFI44L. A high DNAm IFN score, defined as > mean(controls) +2SD(controls) (IFN score > 4.4), was observed in 59% of pSS patients and in 4% of controls (p=1.3x10(-35)). Patients with a high DNAm IFN score were on average seven years younger at symptom onset (p=0.017) and at diagnosis (p=3x10(-3)). The DNAm IFN score levels were significantly higher in pSS positive for both SSA and SSB antibodies compared to SSA/SSB negative patients (p(discovery)=1.9x10(-8), p(replication)=7.8x10(-4)). In patients positive for both SSA subtypes Ro52 and Ro60, an increased score was identified compared to single positive patients (p=0.022). Analyzing the discovery and replication cohorts together, elevated DNAm IFN scores were observed in pSS with hypergammaglobulinemia (p=2x10(-8)) and low C4 (p=1.5x10(-3)) compared to patients without these manifestations. Patients < 70 years with ongoing lymphoma at DNA sampling or lymphoma at follow-up (n=7), presented an increased DNAm IFN score compared to pSS without lymphoma (p=0.025). In conclusion, the DNAm-based IFN score is a promising alternative to mRNA-based scores for identification of patients with activation of the IFN system and may be applied for patient stratification guiding treatment decisions, monitoring and inclusion in clinical trials.
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