Background:There is a recent global surge in Mycoplasma pneumoniae pneumonia (MPP). However, the key immune factors that contribute to the advancement of the disease remain unknown. Hence, we conducted this study to uncover the immunological profile in children affected by MPP.
Methods:This study enrolled children visiting Children's Hospital of Fudan University from December 2023 to April 2024, including 34 healthy controls, 51 severe MPP (S-MPP), 27 non-severe MPP (NS-MPP), and 34 non-MPP pneumonia (NMP) cases. Their blood samples were analyzed using flow cytometry, multi-cytokine assays, and antibody detection methods.
Results:Compared with NMP cases, MPP cases displayed higher frequencies of natural killer T cells, classical monocytes, and monocytic myeloid-derived suppressor cells. Notably, both T helper type 1 and activated regulatory T cells were more abundant in MPP cases, particularly in S-MPP, whereas CD8 + T cells displayed an exhaustion phenotype. The proportion of naïve B cells was reduced, while functional B cells, including memory B cells and plasmablasts, increased in S-MPP. 12 out of 95 clinical laboratory indicators and 3 out of 48 cytokines significantly differed between S-MPP and NS-MPP. Finally, we performed logistic and LASSO regression analyses and developed a predictive model for S-MPP that incorporates naïve B cell percentage from flow cytometry, cholinesterase from clinical laboratory tests, and interleukin 18 from the cytokine assay.
Conclusions:These results clarify the immunological features in pediatric MPP cases, and identify novel markers for severe cases, providing insights for early diagnosis and immunological management in affected children.
Keywords:Mycoplasma pneumonia pneumonia; Children; Immunological landscape; Severity indicator.
Immunological landscape of children with Mycoplasma pneumoniae pneumonia in the post-COVID-19 era reveals distinctive severity indicators
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基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
细胞水平:细胞染色、细胞分选、细胞培养、细胞功能
组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
细胞水平:细胞染色、细胞分选、细胞培养、细胞功能
组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
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