TY - JOUR
T1 - Deconvolution of whole blood transcriptomics identifies changes in immune cell composition in patients with systemic lupus erythematosus (SLE) treated with mycophenolate mofetil
AU - British Isles Lupus Assessment Group Biologics Register (BILAG BR) Consortium
AU - MASTERPLANS Consortium
AU - Akhtar, Mumina
AU - Nair, Nisha
AU - Carter, Lucy M.
AU - Vital, Edward M.
AU - Sutton, Emily
AU - McHugh, Neil
AU - Gordon, Patrick
AU - Young-Min, Steven
AU - Stevens, Robert
AU - Prabu, Athiveer
AU - Batley, Mike
AU - Gendi, Nagui
AU - Dasgupta, Bhaskar
AU - Khamashta, Munther
AU - Hewins, Peter
AU - Stratton, Richard J.
AU - Chan, Antoni
AU - De Lord, Denise
AU - King, Jon
AU - Dubey, Shirish
AU - O’Riordan, Edmond
AU - Shaffu, Shireen
AU - Laversuch, Cathy
AU - Sheeran, Thomas P.
AU - Vermaak, Erin
AU - Erb, Nicola
AU - Pyne, Debasish
AU - Jeffrey, Rachel
AU - Youssef, Hazem
AU - Al-Allaf, Wahab
AU - Regan, Marian
AU - Kaul, Arvind
AU - Payne, Katherine
AU - Lunt, Mark
AU - Peek, Niels
AU - Geifman, Nophar
AU - Gavan, Sean
AU - Armitt, Gillian
AU - Doherty, Patrick
AU - Prattley, Jennifer
AU - Azadbakht, Narges
AU - Papazian, Angela
AU - Le Sueur, Helen
AU - Farrelly, Carmen
AU - Richardson, Clare
AU - Shabbir, Zunnaira
AU - Hewitt, Lauren
AU - Gordon, Caroline
AU - Young, Stephen
AU - Jayne, David
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Background: 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.
AB - Background: 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.
KW - Deconvolution
KW - Mycophenolate mofetil
KW - Systemic lupus erythematosus
KW - Transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85164124447&partnerID=8YFLogxK
U2 - 10.1186/s13075-023-03089-5
DO - 10.1186/s13075-023-03089-5
M3 - Article
C2 - 37391799
AN - SCOPUS:85164124447
SN - 1478-6354
VL - 25
JO - Arthritis Research and Therapy
JF - Arthritis Research and Therapy
IS - 1
M1 - 111
ER -