Single-cell landscape revealed immune characteristics associated with disease phases in brucellosis patients.
Yi WangSiyuan YangBing HanXiufang DuHuali SunYufeng DuYinli LiuPanpan LuJinyu DiLaurence Don Wai LuuXiao LvSongnian HuLinghang WangRongmeng JiangPublished in: iMeta (2024)
A comprehensive immune landscape for Brucella infection is crucial for developing new treatments for brucellosis. Here, we utilized single-cell RNA sequencing (scRNA-seq) of 290,369 cells from 35 individuals, including 29 brucellosis patients from acute ( n = 10), sub-acute ( n = 9), and chronic ( n = 10) phases as well as six healthy donors. Enzyme-linked immunosorbent assays were applied for validation within this cohort. Brucella infection caused a significant change in the composition of peripheral immune cells and inflammation was a key feature of brucellosis. Acute patients are characterized by potential cytokine storms resulting from systemic upregulation of S100A8 / A9 , primarily due to classical monocytes. Cytokine storm may be mediated by activating S100A8/A9-TLR4-MyD88 signaling pathway. Moreover, monocytic myeloid-derived suppressor cells were the probable contributors to immune paralysis in acute patients. Chronic patients are characterized by a dysregulated Th1 response, marked by reduced expression of IFN-γ and Th1 signatures as well as a high exhausted state. Additionally, Brucella infection can suppress apoptosis in myeloid cells (e.g., mDCs, classical monocytes), inhibit antigen presentation in professional antigen-presenting cells (APCs; e.g., mDC) and nonprofessional APCs (e.g., monocytes), and induce exhaustion in CD8 + T/NK cells, potentially resulting in the establishment of chronic infection. Overall, our study systemically deciphered the coordinated immune responses of Brucella at different phases of the infection, which facilitated a full understanding of the immunopathogenesis of brucellosis and may aid the development of new effective therapeutic strategies, especially for those with chronic infection.
Keyphrases
- end stage renal disease
- single cell
- ejection fraction
- signaling pathway
- newly diagnosed
- immune response
- chronic kidney disease
- induced apoptosis
- dendritic cells
- prognostic factors
- peritoneal dialysis
- liver failure
- oxidative stress
- gene expression
- patient reported outcomes
- dna methylation
- high throughput
- cell cycle arrest
- drug induced
- genome wide
- endoplasmic reticulum stress
- respiratory failure
- extracorporeal membrane oxygenation
- epithelial mesenchymal transition
- deep learning
- bone marrow
- nk cells
- patient reported
- acute respiratory distress syndrome