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dc.contributor.authorAkthar, Mumina
dc.contributor.authorNair, Nisha
dc.contributor.authorCarter, Lucy M
dc.contributor.authorVital, Edward M
dc.contributor.authorSutton, Emily
dc.contributor.authorMcHugh, Neil
dc.contributor.authorBruce, Ian N
dc.contributor.authorReynolds, John A
dc.date.accessioned2024-01-09T14:00:59Z
dc.date.available2024-01-09T14:00:59Z
dc.date.issued2023-06-30
dc.identifier.citationAkthar M, Nair N, Carter LM, Vital EM, Sutton E, McHugh N; British Isles Lupus Assessment Group Biologics Register (BILAG BR) Consortium; MASTERPLANS Consortium; Bruce IN, Reynolds JA. Deconvolution of whole blood transcriptomics identifies changes in immune cell composition in patients with systemic lupus erythematosus (SLE) treated with mycophenolate mofetil. Arthritis Res Ther. 2023 Jun 30;25(1):111. doi: 10.1186/s13075-023-03089-5en_US
dc.identifier.eissn1478-6362
dc.identifier.doi10.1186/s13075-023-03089-5
dc.identifier.pmid37391799
dc.identifier.urihttp://hdl.handle.net/20.500.14200/3332
dc.description.abstractBackground: Systemic lupus erythematosus (SLE) is a clinically and biologically heterogeneous autoimmune disease. We explored whether the deconvolution of whole blood transcriptomic data could identify differences in predicted immune cell frequency between active SLE patients, and whether these differences are associated with clinical features and/or medication use. Methods: Patients with active SLE (BILAG-2004 Index) enrolled in the BILAG-Biologics Registry (BILAG-BR), prior to change in therapy, were studied as part of the MASTERPLANS Stratified Medicine consortium. Whole blood RNA-sequencing (RNA-seq) was conducted at enrolment into the registry. Data were deconvoluted using CIBERSORTx. Predicted immune cell frequencies were compared between active and inactive disease in the nine BILAG-2004 domains and according to immunosuppressant use (current and past). Results: Predicted cell frequency varied between 109 patients. Patients currently, or previously, exposed to mycophenolate mofetil (MMF) had fewer inactivated macrophages (0.435% vs 1.391%, p = 0.001), naïve CD4 T cells (0.961% vs 2.251%, p = 0.002), and regulatory T cells (1.858% vs 3.574%, p = 0.007), as well as a higher proportion of memory activated CD4 T cells (1.826% vs 1.113%, p = 0.015), compared to patients never exposed to MMF. These differences remained statistically significant after adjusting for age, gender, ethnicity, disease duration, renal disease, and corticosteroid use. There were 2607 differentially expressed genes (DEGs) in patients exposed to MMF with over-representation of pathways relating to eosinophil function and erythrocyte development and function. Within CD4 + T cells, there were fewer predicted DEGs related to MMF exposure. No significant differences were observed for the other conventional immunosuppressants nor between patients according disease activity in any of the nine organ domains. Conclusion: MMF has a significant and persisting effect on the whole blood transcriptomic signature in patients with SLE. This highlights the need to adequately adjust for background medication use in future studies using whole blood transcriptomics.en_US
dc.language.isoenen_US
dc.publisherBMCen_US
dc.subjectRheumatologyen_US
dc.titleDeconvolution of whole blood transcriptomics identifies changes in immune cell composition in patients with systemic lupus erythematosus (SLE) treated with mycophenolate mofetilen_US
dc.typeArticle
dc.source.journaltitleArthritis Research & Therapy
rioxxterms.versionNAen_US
dc.contributor.trustauthorAkhtar, Mumina
dc.contributor.trustauthorReynolds, John A.
dc.contributor.departmentRheumatologyen_US
dc.contributor.roleMedical and Dentalen_US
dc.contributor.affiliationSandwell and West Birmingham NHS Trust; The University of Manchester; University of Leeds; Leeds Teaching Hospitals NHS Trust et al.en_US
oa.grant.openaccessnaen_US


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