Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity

Introduction: Exaggerated neutrophil recruitment and activation are the major features of pathological alterations in periodontitis, in which neutrophil extracellular traps (NETs) are considered to be responsible for inflammatory periodontal lesions. Despite the critical role of NETs in the developm...

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Main Authors: Wei Qiu, Ruiming Guo, Hongwen Yu, Xiaoxin Chen, Zehao Chen, Dian Ding, Jindou Zhong, Yumeng Yang, Fuchun Fang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Advanced Research
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Online Access:http://www.sciencedirect.com/science/article/pii/S2090123224003126
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author Wei Qiu
Ruiming Guo
Hongwen Yu
Xiaoxin Chen
Zehao Chen
Dian Ding
Jindou Zhong
Yumeng Yang
Fuchun Fang
author_facet Wei Qiu
Ruiming Guo
Hongwen Yu
Xiaoxin Chen
Zehao Chen
Dian Ding
Jindou Zhong
Yumeng Yang
Fuchun Fang
author_sort Wei Qiu
collection DOAJ
description Introduction: Exaggerated neutrophil recruitment and activation are the major features of pathological alterations in periodontitis, in which neutrophil extracellular traps (NETs) are considered to be responsible for inflammatory periodontal lesions. Despite the critical role of NETs in the development and progression of periodontitis, their specific functions and mechanisms remain unclear. Objectives: To demonstrate the important functions and specific mechanisms of NETs involved in periodontal immunopathology. Methods: We performed single-cell RNA sequencing on gingival tissues from both healthy individuals and patients diagnosed with periodontitis. High-dimensional weighted gene co-expression network analysis and pseudotime analysis were then applied to characterize the heterogeneity of neutrophils. Animal models of periodontitis were treated with NETs inhibitors to investigate the effects of NETs in severe periodontitis. Additionally, we established a periodontitis prediction model based on NETs-related genes using six types of machine learning methods. Cell-cell communication analysis was used to identify ligand-receptor pairs among the major cell groups within the immune microenvironment. Results: We constructed a single-cell atlas of the periodontal microenvironment and obtained nine major cell populations. We further identified a NETs-related subgroup (NrNeu) in neutrophils. An in vivo inhibition experiment confirmed the involvement of NETs in gingival inflammatory infiltration and alveolar bone absorption in severe periodontitis. We further screened three key NETs-related genes (PTGS2, MME and SLC2A3) and verified that they have the potential to predict periodontitis. Moreover, our findings revealed that gingival fibroblasts had the most interactions with NrNeu and that they might facilitate the production of NETs through the MIF-CD74/CXCR4 axis in periodontitis. Conclusion: This study highlights the pathogenic role of NETs in periodontal immunity and elucidates the specific regulatory relationship by which gingival fibroblasts activate NETs, which provides new insights into the clinical diagnosis and treatment of periodontitis.
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spelling doaj-art-56a06f7dffd44c4f8a8a72558863dfc62025-08-20T02:33:14ZengElsevierJournal of Advanced Research2090-12322025-06-017228730110.1016/j.jare.2024.07.028Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunityWei Qiu0Ruiming Guo1Hongwen Yu2Xiaoxin Chen3Zehao Chen4Dian Ding5Jindou Zhong6Yumeng Yang7Fuchun Fang8Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaCorresponding author at: 1838 Guang Zhou Avenue North, Guangzhou 510515, China.; Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, ChinaIntroduction: Exaggerated neutrophil recruitment and activation are the major features of pathological alterations in periodontitis, in which neutrophil extracellular traps (NETs) are considered to be responsible for inflammatory periodontal lesions. Despite the critical role of NETs in the development and progression of periodontitis, their specific functions and mechanisms remain unclear. Objectives: To demonstrate the important functions and specific mechanisms of NETs involved in periodontal immunopathology. Methods: We performed single-cell RNA sequencing on gingival tissues from both healthy individuals and patients diagnosed with periodontitis. High-dimensional weighted gene co-expression network analysis and pseudotime analysis were then applied to characterize the heterogeneity of neutrophils. Animal models of periodontitis were treated with NETs inhibitors to investigate the effects of NETs in severe periodontitis. Additionally, we established a periodontitis prediction model based on NETs-related genes using six types of machine learning methods. Cell-cell communication analysis was used to identify ligand-receptor pairs among the major cell groups within the immune microenvironment. Results: We constructed a single-cell atlas of the periodontal microenvironment and obtained nine major cell populations. We further identified a NETs-related subgroup (NrNeu) in neutrophils. An in vivo inhibition experiment confirmed the involvement of NETs in gingival inflammatory infiltration and alveolar bone absorption in severe periodontitis. We further screened three key NETs-related genes (PTGS2, MME and SLC2A3) and verified that they have the potential to predict periodontitis. Moreover, our findings revealed that gingival fibroblasts had the most interactions with NrNeu and that they might facilitate the production of NETs through the MIF-CD74/CXCR4 axis in periodontitis. Conclusion: This study highlights the pathogenic role of NETs in periodontal immunity and elucidates the specific regulatory relationship by which gingival fibroblasts activate NETs, which provides new insights into the clinical diagnosis and treatment of periodontitis.http://www.sciencedirect.com/science/article/pii/S2090123224003126PeriodontitisNeutrophil extracellular trapsSingle-cell RNA sequencingGingival fibroblastsMachine learningPrediction model
spellingShingle Wei Qiu
Ruiming Guo
Hongwen Yu
Xiaoxin Chen
Zehao Chen
Dian Ding
Jindou Zhong
Yumeng Yang
Fuchun Fang
Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
Journal of Advanced Research
Periodontitis
Neutrophil extracellular traps
Single-cell RNA sequencing
Gingival fibroblasts
Machine learning
Prediction model
title Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
title_full Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
title_fullStr Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
title_full_unstemmed Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
title_short Single-cell atlas of human gingiva unveils a NETs-related neutrophil subpopulation regulating periodontal immunity
title_sort single cell atlas of human gingiva unveils a nets related neutrophil subpopulation regulating periodontal immunity
topic Periodontitis
Neutrophil extracellular traps
Single-cell RNA sequencing
Gingival fibroblasts
Machine learning
Prediction model
url http://www.sciencedirect.com/science/article/pii/S2090123224003126
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