A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis.
Alma-Martina CepikaRomain BanchereauElodie SeguraMarina OhouoBrandi L CantarelKristina GollerVictoria CantrellEmily RuchaudElizabeth GatewoodPhuong NguyenJinghua GuEsperanza AnguianoSandra ZurawskiJeanine M BaischMarilynn PunaroNicole E BaldwinGerlinde ObermoserKarolina PaluckaJacques F BanchereauSebastian AmigorenaVirginia PascualPublished in: The Journal of experimental medicine (2017)
The etiology of sporadic human chronic inflammatory diseases remains mostly unknown. To fill this gap, we developed a strategy that simultaneously integrates blood leukocyte responses to innate stimuli at the transcriptional, cellular, and secreted protein levels. When applied to systemic juvenile idiopathic arthritis (sJIA), an autoinflammatory disease of unknown etiology, this approach identified gene sets associated with specific cytokine environments and activated leukocyte subsets. During disease remission and off treatment, sJIA patients displayed dysregulated responses to TLR4, TLR8, and TLR7 stimulation. Isolated sJIA monocytes underexpressed the IL-1 inhibitor aryl hydrocarbon receptor (AHR) at baseline and accumulated higher levels of intracellular IL-1β after stimulation. Supporting the demonstration that AHR down-regulation skews monocytes toward macrophage differentiation, sJIA monocytes differentiated in vitro toward macrophages, away from the dendritic cell phenotype. This might contribute to the increased incidence of macrophage activation syndrome in these patients. Integrated analysis of high-dimensional data can thus unravel immune alterations predisposing to complex inflammatory diseases.
Keyphrases
- juvenile idiopathic arthritis
- dendritic cells
- immune response
- ejection fraction
- peripheral blood
- toll like receptor
- newly diagnosed
- inflammatory response
- disease activity
- prognostic factors
- endothelial cells
- gene expression
- oxidative stress
- rheumatoid arthritis
- risk factors
- systemic lupus erythematosus
- transcription factor
- electronic health record
- deep learning
- late onset
- drug induced
- reactive oxygen species
- artificial intelligence