Trained Immunity Affecting Dendritic Cell Differentiation and Function in Rheumatoid Arthritis
Tung, L. T.; Jiang, R. R.; Pozzebon, B.; Mancini, M.; Droin, L.; Yousefi, M.; Kim, J. E.; Mousa, M.; Liang, Y.; Krawczyk, C. M.; Colmegna, I.; Malo, D.; Langlais, D.; Vidal, S. M.; Nijnik, A.
Show abstract
Rheumatoid arthritis affects [~]0.5-1% of the adult population and results in joint inflammation, chronic pain, and many systemic comorbidities. Immune and inflammatory tissue damage is the main pathogenic mechanism in rheumatoid arthritis, and involves the hyperactivation of both innate and adaptive immune systems. Trained immunity has become well established as an important feature of the innate immune system that allows the host to mount functionally altered immune responses based on their previous history of immune exposures, independently of the classical adaptive immunological memory. However, the role of trained immunity in systemic autoimmune and inflammatory disorders remains poorly understood. In the current work, we demonstrate that emergency myelopoiesis is induced in chronic rheumatoid arthritis in murine models and acts not only to enhance innate immune cell numbers but also to produce functionally altered innate immune cells. Such effects are cell-intrinsic to hematopoietic stem and progenitor cells (HSPCs) and persist independently of the inflammatory disease milieu. Importantly, these trained immunity mechanisms impact not only macrophages but also dendritic cells, which are the major antigen presenting cells that bridge the innate and adaptive immune responses. Trained dendritic cells show changes in global gene expression profiles, and significantly altered responses to recall immune stimulation and capacity for T cell activation. This study therefore represents the first demonstration of dendritic cell trained immunity in rheumatoid arthritis.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The macrophage reprogramming ability of antifolates reveals soluble CD14 as a potential biomarker for methotrexate response in rheumatoid arthritis 97%
- TCRβ Sequencing Reveals Spatial and Temporal Evolution of Clonal CD4 T cell Responses in a Breach of Tolerance Model of Inflammatory Arthritis 96%
- Hemoglobin alpha regulates T-lymphocyte activation and mitochondrial function 95%
Similar papers in this journal
- Compartmentalization and persistence of dominant (regulatory) T cell clones indicates antigen skewing in juvenile idiopathic arthritis 97%
- Opposing Regulation of TNF Responses by IFN-γ and a PGE2-cAMP Axis that is Apparent in Rheumatoid and Immune Checkpoint Inhibitor-induced Arthritis IL-1β+ Macrophages 96%
- Transcriptome network analysis implicates CX3CR1-positive type 3 dendritic cells in non-infectious uveitis 95%
Similar papers in this journal
- A defect in thymic tolerance causes T cell-mediated autoimmunity in a murine model of COPA syndrome 95%
- Adjuvant conditioning enhances neutrophil function while inducing a suppressive peritoneal macrophage phenotype 95%
- Context-dependent miR-21 regulation of TLR7-mediated autoimmune and foreign antigen driven antibody-forming cell and germinal center responses 95%
Similar papers in this journal
- Aberrant naive CD4+ T Cell differentiation in systemic juvenile idiopathic arthritis is committed to B cell help 96%
- Tmem178 negatively regulates IL-1β production through inhibition of the NLRP3 inflammasome 94%
- B cell numbers predict humoral and cellular response upon SARS-CoV-2 vaccination among patients treated with rituximab 94%
Similar papers in this journal
- Coordinated immune dysregulation in Juvenile Dermatomyositis revealed by single-cell genomics 94%
- Single cell transcriptomics reveals distinct effector profiles of infiltrating T cells in lupus skin and kidney 94%
- Joint-specific rheumatoid arthritis fibroblast-like synoviocyte regulation identified by integration of chromatin access and transcriptional activity 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.