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Single-Cell RNA Sequencing Identifies New Inflammation-Promoting Cell Subsets in Asian Patients With Chronic Periodontitis

Overview
Journal Front Immunol
Date 2021 Sep 27
PMID 34566966
Citations 23
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Abstract

Periodontitis is a highly prevalent chronic inflammatory disease leading to periodontal tissue breakdown and subsequent tooth loss, in which excessive host immune response accounts for most of the tissue damage and disease progression. Despite of the imperative need to develop host modulation therapy, the inflammatory responses and cell population dynamics which are finely tuned by the pathological microenvironment in periodontitis remained unclear. To investigate the local microenvironment of the inflammatory response in periodontitis, 10 periodontitis patients and 10 healthy volunteers were involved in this study. Single-cell transcriptomic profilings of gingival tissues from two patients and two healthy donors were performed. Histology, immunohistochemistry, and flow cytometry analysis were performed to further validate the identified cell subtypes and their involvement in periodontitis. Based on our single-cell resolution analysis, we identified HLA-DR-expressing endothelial cells and CXCL13 fibroblasts which are highly associated with immune regulation. We also revealed the involvement of the proinflammatory NLRP3 macrophages in periodontitis. We further showed the increased cell-cell communication between macrophage and T/B cells in the inflammatory periodontal tissues. Our data generated an intriguing catalog of cell types and interaction networks in the human gingiva and identified new inflammation-promoting cell subtypes involved in chronic periodontitis, which will be helpful in advancing host modulation therapy.

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References
1.
Repeke C, Ferreira Jr S, Claudino M, Silveira E, Assis G, Avila-Campos M . Evidences of the cooperative role of the chemokines CCL3, CCL4 and CCL5 and its receptors CCR1+ and CCR5+ in RANKL+ cell migration throughout experimental periodontitis in mice. Bone. 2010; 46(4):1122-30. DOI: 10.1016/j.bone.2009.12.030. View

2.
Kim H, Kim S, Jeon S, Kim S, Cho H, Choi Y . Diagnostic and Prognostic ability of salivary MMP-9 and S100A8 for periodontitis. J Clin Periodontol. 2020; 47(10):1191-1200. DOI: 10.1111/jcpe.13349. View

3.
Wafula P, Teles A, Schumacher A, Pohl K, Yagita H, Volk H . PD-1 but not CTLA-4 blockage abrogates the protective effect of regulatory T cells in a pregnancy murine model. Am J Reprod Immunol. 2009; 62(5):283-92. DOI: 10.1111/j.1600-0897.2009.00737.x. View

4.
Aass K, Kastnes M, Standal T . Molecular interactions and functions of IL-32. J Leukoc Biol. 2020; 109(1):143-159. DOI: 10.1002/JLB.3MR0620-550R. View

5.
Svensson V, Vento-Tormo R, Teichmann S . Exponential scaling of single-cell RNA-seq in the past decade. Nat Protoc. 2018; 13(4):599-604. DOI: 10.1038/nprot.2017.149. View