bioRxivSystems BiologyPreprint
Multi-lineage transcriptional and cell communication signatures define evolving personalized mechanisms that initiate and perpetuate rheumatoid arthritis
Cong LiuiD, Z. Audrey Wang, Edward B. PrideauxiD, David L. BoyleiD, Katherine Nguyen, Vlad TsaltskaniD, Amy Westermann, Andrea E. OchoaiD, Kevin D. DeaneiD, Marie L. FeseriD, Mary Kristen DemoruelleiD, Kristine A. KuhniD, Vernon Michael HolersiD, Fan ZhangiD, Ashley G. Asamoah, Lauren Y. OkadaiD, Mark A. K. GillespieiD, Palak C. GengeiD, Morgan D. A. WeissiD, Veronica HernandeziD, Julian ReadingiD, Lynne A. BeckeriD, Jane Hoyt BuckneriD, Cate SpeakeiD, Jieyuan LiuiD, , Wei Wang
Abstract
Rheumatoid arthritis (RA) is a systemic autoimmune disease arising from loss of tolerance and autoantibody development in at-risk individuals. Targeted therapies yield variable responses and current preventive strategies delay but do not stop disease onset. We propose that a set of transcription factors (TFs) and their downstream pathways regulate inflammatory cell communication networks in at-risk populations and RA. These networks enable multiple pathogenic cell types and mediators and could account for variable responses to targeted agents. To test this hypothesis, we identified anti-citrullinated protein antibody (ACPA)-positive at-risk individuals, patients with early and established RA and healthy controls. Single cell chromatin accessibility and transcriptomic profiles from blood mononuclear r cells were integrated and identified share pathogenic mechanisms, especially SUMOylation, RUNX2, YAP1, NOTCH3, and {beta}-Catenin Pathways. Surprisingly, this signature was found in multiple cell types. Individualized gene expression patterns were then confirmed in RA synovium. Cell communication analysis revealed that multiple lineages can deliver a core set of pro-inflammatory mediators to receiver cells. Longitudinal analysis showed that the signature cell types evolve in individual at-risk participants. Cell-type-specific signature pathways could contribute to the differing clinical responses to targeted therapies. This study describes how a common clinical phenotype could arise from multiple pathogenic mechanisms.
- organism: human
- assay: scATAC-seq
- assay: scRNA-seq
- research focus: cell-cell communication
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 4
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