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Single-cell transcriptomics reveals variations in monocytes and Tregs between gout flare and remission
Hanjie Yu, Wen Xue, Hanqing Yu, Yaxiang Song, Xinying Liu, Ling Qin, Shu Wang, Hui Bao, Hongchen Gu, Guangqi Chen, Dake Zhao, Yang Tu, Jiafen Cheng, Liya Wang, Zisheng Ai, Dayong Hu, Ling Wang, Ai Peng
Hanjie Yu, Wen Xue, Hanqing Yu, Yaxiang Song, Xinying Liu, Ling Qin, Shu Wang, Hui Bao, Hongchen Gu, Guangqi Chen, Dake Zhao, Yang Tu, Jiafen Cheng, Liya Wang, Zisheng Ai, Dayong Hu, Ling Wang, Ai Peng
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Research Article Immunology Inflammation

Single-cell transcriptomics reveals variations in monocytes and Tregs between gout flare and remission

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Abstract

Gout commonly manifests as a painful, self-limiting inflammatory arthritis. Nevertheless, the understanding of the inflammatory and immune responses underlying gout flares and remission remains ambiguous. Here, based on single-cell RNA-Seq and an independent validation cohort, we identified the potential mechanism of gout flare, which likely involves the upregulation of HLA-DQA1+ nonclassical monocytes and is related to antigen processing and presentation. Furthermore, Tregs also play an essential role in the suppressive capacity during gout remission. Cell communication analysis suggested the existence of altered crosstalk between monocytes and other T cell types, such as Tregs. Moreover, we observed the systemic upregulation of inflammatory and cytokine genes, primarily in classical monocytes, during gout flares. All monocyte subtypes showed increased arachidonic acid metabolic activity along with upregulation of prostaglandin-endoperoxide synthase 2 (PTGS2). We also detected a decrease in blood arachidonic acid and an increase in leukotriene B4 levels during gout flares. In summary, our study illustrates the distinctive immune cell responses and systemic inflammation patterns that characterize the transition from gout flares to remission, and it suggests that blood monocyte subtypes and Tregs are potential intervention targets for preventing recurrent gout attacks and progression.

Authors

Hanjie Yu, Wen Xue, Hanqing Yu, Yaxiang Song, Xinying Liu, Ling Qin, Shu Wang, Hui Bao, Hongchen Gu, Guangqi Chen, Dake Zhao, Yang Tu, Jiafen Cheng, Liya Wang, Zisheng Ai, Dayong Hu, Ling Wang, Ai Peng

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Figure 1

Single-cell transcriptome profiling of PBMCs between gout flare and remission.

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Single-cell transcriptome profiling of PBMCs between gout flare and remi...
(A) Flowchart of the overall experiment design. Two paired peripheral blood samples (6 in total) were collected from each of the same 3 patients with gout flare (1 sample/patient), and later during gout remission (1 sample/patient). The samples were dissociated into single cells and sorted for scRNA-Seq. (B) The t-SNE representations of integrated single-cell transcriptomes for the 34,736 PBMCs (n = 6), grouped by disease (left), and cell types (right). (C) Heatmap of all identified clusters after dimensional reduction. The top 10 marker genes colored by their expression level were used for downstream analyses. Clusters were reordered into respective cell types. (D) Bar plot showing cell fractions of leukocyte subtypes in patients with gout flare and gout remission, color-coded for the different cell types identified in this study. (E) Expression levels of canonical cell markers used to identify cell types. Feature plot represented by color gradient, with low expression depicted by gray and high expression represented by red.

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