Single-cell transcriptome atlas revealed bronchoalveolar immune features related to disease severity in pediatric Mycoplasma pneumoniae pneumonia

Xiantao Shen , Zhengjiang Jin , Xiaomin Chen , Zhenhui Wang , Lu Yi , Yangwei Ou , Lin Gong , Chengliang Zhu , Guogang Xu , Yi Wang

MedComm ›› 2024, Vol. 5 ›› Issue (10) : e748

PDF
MedComm ›› 2024, Vol. 5 ›› Issue (10) : e748 DOI: 10.1002/mco2.748
ORIGINAL ARTICLE

Single-cell transcriptome atlas revealed bronchoalveolar immune features related to disease severity in pediatric Mycoplasma pneumoniae pneumonia

Author information +
History +
PDF

Abstract

The mechanisms underlying protective immunity in mild Mycoplasma pneumoniae pneumonia (MPP) and the pathogenesis of severe MPP, characterized by dysregulated immune responses, remain unclear. Here, we performed single-cell RNA sequencing (scRNA-seq) to profile bronchoalveolar lavage fluid (BALF) samples from 13 healthy donors and 24 hospitalized pediatric patients with MPP, covering both mild and severe cases. Severe MPP patients exhibited high levels of exhausted T cells and M1-like macrophages, with the exhaustion of T cells attributed to persistent type I interferon signaling and inadequate assistance from CD4+ T cells. Significant cell-cell interactions between exhausted T cells and programmed death-ligand 1+ (PD-L1+) macrophages were detected in severe patients, potentially mediated through inhibitor molecules (e.g., PD1) and their receptors (e.g., PD-L1), as well as human leukocyte antigen class I molecules and their receptors (e.g., KLRC1/D2), resulting in the dysfunction of anti-MP immune responses. Mild MPP patients were featured by an increased abundance of neutrophils, coupled with enhanced activation, contributing to protective immunity. Together, our study provides a detailed characterization of the BALF immune landscape in MPP patients, revealing distinct immune characteristics between mild and severe cases, which offers a valuable resource for understanding MPP immunopathogenesis and formulating effective therapeutic strategies.

Keywords

immune response / Mycoplasma pneumoniae / Mycoplasma pneumoniae pneumonia / protective immunity / single-cell sequencing

Cite this article

Download citation ▾
Xiantao Shen, Zhengjiang Jin, Xiaomin Chen, Zhenhui Wang, Lu Yi, Yangwei Ou, Lin Gong, Chengliang Zhu, Guogang Xu, Yi Wang. Single-cell transcriptome atlas revealed bronchoalveolar immune features related to disease severity in pediatric Mycoplasma pneumoniae pneumonia. MedComm, 2024, 5(10): e748 DOI:10.1002/mco2.748

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Conroy G. What’s behind China’s mysterious wave of childhood pneumonia? Nature. Published online: Nov 27, 2023.

[2]

Li J, Luu LDW, Wang X, et al. Metabolomic analysis reveals potential biomarkers and the underlying pathogenesis involved in Mycoplasma pneumoniae pneumonia. Emerg Microbes Infect. 2022; 11(1): 593-605.

[3]

Jiang Z, Li S, Zhu C, Zhou R, Leung PHM. Mycoplasma pneumoniae infections: pathogenesis and vaccine development. Pathogens. 2021; 10(2): 119.

[4]

Zhang Z, Wan R, Yuan Q, et al. Cell damage and neutrophils promote the infection of Mycoplasma pneumoniae and inflammatory response. Microb Pathog. 2022; 169: 105647.

[5]

Zhang Y, Mei S, Zhou Y, Huang M, Dong G, Chen Z. Cytokines as the good predictors of refractory Mycoplasma pneumoniae pneumonia in school-aged children. Sci Rep. 2016; 6: 37037.

[6]

He J, Liu M, Ye Z, et al. Insights into the pathogenesis of Mycoplasma pneumoniae (Review). Mol Med Rep. 2016; 14(5): 4030-4036.

[7]

Shi S, Zhang X, Zhou Y, Tang H, Zhao D, Liu F. Immunosuppression reduces lung injury caused by Mycoplasma pneumoniae infection. Sci Rep. 2019; 9(1): 7147.

[8]

Chen Z, Shao X, Dou X, et al. Role of the Mycoplasma pneumoniae/Interleukin-8/Neutrophil axis in the pathogenesis of pneumonia. PLoS One. 2016; 11(1): e0146377.

[9]

Bai S, Wang W, Ye L, et al. IL-17 stimulates neutrophils to release S100A8/A9 to promote lung epithelial cell apoptosis in Mycoplasma pneumoniae-induced pneumonia in children. Biomed Pharmacother. 2021; 143: 112184.

[10]

Wang Y, Luu LDW, Liu S, et al. Single-cell transcriptomic analysis reveals a systemic immune dysregulation in COVID-19-associated pediatric encephalopathy. Signal Transduct Target Ther. 2023; 8(1): 398.

[11]

Wang Y, Wang X, Luu LDW, et al. Single-cell transcriptomic atlas reveals distinct immunological responses between COVID-19 vaccine and natural SARS-CoV-2 infection. J Med Virol. 2022; 94(11): 5304-5324.

[12]

Wang Y, Sun Q, Zhang Y, et al. Systemic immune dysregulation in severe tuberculosis patients revealed by a single-cell transcriptome atlas. J Infect. 2023; 86(5): 421–438.

[13]

Hu X, Wu M, Ma T, et al. Single-cell transcriptomics reveals distinct cell response between acute and chronic pulmonary infection of Pseudomonas aeruginosa. MedComm. 2022; 3(4): e193.

[14]

Wang Y, Yang S, Han B, et al. Single-cell landscape revealed immune characteristics associated with disease phases in brucellosis patients. iMeta. 2024; 3(4): e226.

[15]

Sikkema L, Ramírez-Suástegui C, Strobl DC, et al. An integrated cell atlas of the lung in health and disease. Nat Med. 2023; 29(6): 1563-1577.

[16]

Xu D, Li S, Chen Z, Du L. Detection of Mycoplasma pneumoniae in different respiratory specimens. Eur J Pediatr. 2011; 170: 851-858.

[17]

Wang S, Song R, Wang Z, Jing Z, Wang S, Ma J. S100A8/A9 in inflammation. Front Immunol. 2018; 9: 1298.

[18]

Bell E. TLR4 signalling. Nat Rev Immunol. 2008; 8(4): 241-241.

[19]

Kusnadi A, Ramírez-Suástegui C, Fajardo V, et al. Severely ill patients with COVID-19 display impaired exhaustion features in SARS-CoV-2–reactive CD8+ T cells. Sci Immunol. 2021; 6(55): eabe4782.

[20]

Sade-Feldman M, Yizhak K, Bjorgaard SL, et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell. 2018; 175(4):998-1013. e1020.

[21]

Grotzke JE, Lewinsohn DM. Role of CD8+ T lymphocytes in control of Mycobacterium tuberculosis infection. Microbes Infect. 2005; 7(4): 776-788.

[22]

Reusch N, De Domenico E, Bonaguro L, et al. Neutrophils in COVID-19. Front Immunol. 2021; 12: 652470.

[23]

Xie X, Shi Q, Wu P, et al. Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection. Nat Immunol. 2020; 21(9): 1119-1133.

[24]

Park JH, Lee HK. Re-analysis of single cell transcriptome reveals that the NR3C1-CXCL8-neutrophil axis determines the severity of COVID-19. Front Immunol. 2020; 11: 2145.

[25]

Morse C, Tabib T, Sembrat J, et al. Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis. Eur Respir J. 2019; 54(2): 1802441.

[26]

Esaulova E, Das S, Singh DK, et al. The immune landscape in tuberculosis reveals populations linked to disease and latency. Cell Host Microbe. 2021; 29(2): 165-178.e168.

[27]

Schulte-Schrepping J, Reusch N, Paclik D, et al. Severe COVID-19 is marked by a dysregulated myeloid cell compartment. Cell. 2020; 182(6): 1419-1440.e1423.

[28]

He Q, Jamalpour M, Bergquist E, Anderson RL, Gustafsson K, Welsh M. Mouse breast carcinoma monocytic/macrophagic myeloid-derived suppressor cell infiltration as a consequence of endothelial dysfunction in shb-deficient endothelial cells increases tumor lung metastasis. Int J Mol Sci. 2021; 22(21): 11478.

[29]

Zhang C, Li J, Cheng Y, et al. Single-cell RNA sequencing reveals intrahepatic and peripheral immune characteristics related to disease phases in HBV-infected patients. Gut. 2023; 72(1): 153-167.

[30]

Hu J-F, Zhang W, Zuo W, Tan H-Q, Bai W. Inhibition of the PD-1/PD-L1 signaling pathway enhances innate immune response of alveolar macrophages to mycobacterium tuberculosis in mice. Pulm Pharmacol Ther. 2020; 60: 101842.

[31]

Effah CY, Drokow EK, Agboyibor C, et al. Neutrophil-Dependent immunity during pulmonary infections and inflammations. Front Immunol. 2021; 12: 689866.

[32]

Shepherd FR, McLaren JE. T cell immunity to bacterial pathogens: mechanisms of immune control and bacterial evasion. Int J Mol Sci. 2020; 21(17): 6144.

[33]

Li K, Shi H, Zhang B, et al. Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduct Target Ther. 2021; 6(1): 362.

[34]

Association RBoCPSoCM. Chinese Guideline for the Diagnosis and Treatment of Childhood Mycoplasma Pneumoniae Pneumonia. National Health Commission of the People’s Republic of China; 2023. http://www.guidelines-registry.org/guid/958

[35]

Korsunsky I, Millard N, Fan J, et al. Fast, sensitive and accurate integration of single-cell data with harmony. Nat Methods. 2019; 16(12): 1289-1296.

[36]

Traag VA, Waltman L, Van Eck NJ. From Louvain to Leiden: guaranteeing well-connected communities. Sci Rep. 2019; 9(1): 1-12.

[37]

Levine JH, Simonds EF, Bendall SC, et al. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis. Cell. 2015; 162(1): 184-197.

[38]

Wang Y, Huang X, Li F, et al. Serum-integrated omics reveal the host response landscape for severe pediatric community-acquired pneumonia. Crit Care. 2023; 27(1): 1-17.

RIGHTS & PERMISSIONS

2024 The Author(s). MedComm published by Sichuan International Medical Exchange & Promotion Association (SCIMEA) and John Wiley & Sons Australia, Ltd.

AI Summary AI Mindmap
PDF

207

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/