
Faculty, Staff and Student Publications
Publication Date
6-1-2022
Journal
Annals of the Rheumatic Diseases
Abstract
OBJECTIVES: To characterise the peripheral blood cell (PBC) gene expression changes ensuing from mycophenolate mofetil (MMF) or cyclophosphamide (CYC) treatment and to determine the predictive significance of baseline PBC transcript scores for response to immunosuppression in systemic sclerosis (SSc)-related interstitial lung disease (ILD).
METHODS: PBC RNA samples from baseline and 12-month visits, corresponding to the active treatment period of both arms in Scleroderma Lung Study II, were investigated by global RNA sequencing. Joint models were created to examine the predictive significance of
RESULTS: 134 patients with SSc-ILD (CYC=69 and MMF=65) were investigated. CYC led to an upregulation of erythropoiesis, inflammation and myeloid lineage-related modules and a downregulation of lymphoid lineage-related modules. The modular changes resulting from MMF treatment were more modest and included a downregulation of plasmablast module. In the longitudinal analysis, none of the baseline transcript module scores showed predictive significance for FVC% course in the CYC arm. In contrast, in the MMF arm, higher baseline lymphoid lineage modules predicted better subsequent FVC% course, while higher baseline myeloid lineage and inflammation modules predicted worse subsequent FVC% course.
CONCLUSION: Consistent with the primary mechanism of action of MMF on lymphocytes, patients with SSc-ILD with higher baseline lymphoid module scores had better FVC% course, while those with higher myeloid cell lineage activation score had poorer FVC% course on MMF.
Keywords
Cyclophosphamide, Gene Expression Profiling, Humans, Immunosuppressive Agents, Inflammation, Lung, Lung Diseases, Interstitial, Mycophenolic Acid, Scleroderma, Systemic, Vital Capacity, scleroderma, systemic, pulmonary fibrosis, autoimmune diseases
DOI
10.1136/annrheumdis-2021-221313
PMID
35190386
PMCID
PMC9117450
PubMedCentral® Posted Date
2-21-2022
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Included in
Bioinformatics Commons, Biological Phenomena, Cell Phenomena, and Immunity Commons, Biomedical Informatics Commons, Diseases Commons