Associations of Serum CIRP and CXCL5 With Prognosis and Neutrophil Extracellular Traps in Pediatric Mycoplasma pneumoniae Pneumonia

ABSTRACT Objective This study aimed to investigate the associations of serum cold‐inducible RNA‐binding protein (CIRP) and C‐X‐C motif chemokine ligand 5 (CXCL5) with prognosis in children with Mycoplasma pneumoniae pneumonia (MPP) and their relationship with neutrophil extracellular traps (NETs). Methods A total of 485 children with MPP admitted between January 2022 and March 2025 were enrolled. Patients were categorized into good‐prognosis ( n = 379) and poor‐prognosis ( n = 106) groups based on therapeutic efficacy at 1 week after treatment completion. Serum levels of CIRP, CXCL5, and NET markers (myeloperoxidase‐DNA complex [MPO‐DNA] and citrullinated histone H3 [CitH3]) were measured. Multivariable logistic regression was used to analyze factors influencing prognosis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate predictive value. Spearman correlation analysis was used to examine the correlations of CIRP and CXCL5 with NET markers. Results Compared with the good‐prognosis group, the poor‐prognosis group exhibited longer fever duration, higher neutrophil percentage, elevated levels of D‐dimer, C‐reactive protein (CRP), and interleukin‐6 (IL‐6), higher rates of multilobar involvement and pleural effusion, and more frequent use of systemic glucocorticoids, intravenous immunoglobulin (IVIG), fiberoptic bronchoscopy with bronchoalveolar lavage, and second‐line antimicrobial agents (all p < 0.05). Serum CIRP and CXCL5 levels were significantly higher in the poor‐prognosis group (both p < 0.001). Multivariable logistic regression analysis demonstrated that neutrophil percentage, MP antibody titer, D‐dimer, CRP, IL‐6, extent of pulmonary involvement, pleural effusion, CIRP, and CXCL5 were independent risk factors for poor prognosis (all p < 0.05). ROC analysis showed areas under the curve (AUCs) of 0.733 for CIRP, 0.752 for CXCL5, and 0.796 for their combination in predicting poor prognosis, with the combination showing superior predictive performance. Levels of NET markers were significantly elevated in the poor‐prognosis group (both p < 0.001), and both CIRP and CXCL5 were positively correlated with MPO‐DNA and CitH3. Conclusions Elevated serum CIRP and CXCL5 levels are associated with poor prognosis in children with MPP and correlate with NET markers. Combined detection may facilitate early identification of high‐risk patients; however, whether these biomarkers influence disease progression through modulation of NET requires further investigation.

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Journal
The Clinical Respiratory Journal
Published
2026-09-24
DOI
https://doi.org/10.1111/crj.70231
Primary Topic
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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article
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article

Associations of Serum CIRP and CXCL5 With Prognosis and Neutrophil Extracellular Traps in Pediatric Mycoplasma pneumoniae Pneumonia

高士定, Xiaohua Wang, Liyan Zhang, Jianhua Li et al.
The Clinical Respiratory Journal
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
article

Associations of Serum CIRP and CXCL5 With Prognosis and Neutrophil Extracellular Traps in Pediatric Mycoplasma pneumoniae Pneumonia

高士定, Xiaohua Wang, Liyan Zhang, Jianhua Li, Litao Wan, Ning Xie, Bolin Liu, Ting Su
article en

Abstract

ABSTRACT Objective This study aimed to investigate the associations of serum cold‐inducible RNA‐binding protein (CIRP) and C‐X‐C motif chemokine ligand 5 (CXCL5) with prognosis in children with Mycoplasma pneumoniae pneumonia (MPP) and their relationship with neutrophil extracellular traps (NETs). Methods A total of 485 children with MPP admitted between January 2022 and March 2025 were enrolled. Patients were categorized into good‐prognosis ( n = 379) and poor‐prognosis ( n = 106) groups based on therapeutic efficacy at 1 week after treatment completion. Serum levels of CIRP, CXCL5, and NET markers (myeloperoxidase‐DNA complex [MPO‐DNA] and citrullinated histone H3 [CitH3]) were measured. Multivariable logistic regression was used to analyze factors influencing prognosis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate predictive value. Spearman correlation analysis was used to examine the correlations of CIRP and CXCL5 with NET markers. Results Compared with the good‐prognosis group, the poor‐prognosis group exhibited longer fever duration, higher neutrophil percentage, elevated levels of D‐dimer, C‐reactive protein (CRP), and interleukin‐6 (IL‐6), higher rates of multilobar involvement and pleural effusion, and more frequent use of systemic glucocorticoids, intravenous immunoglobulin (IVIG), fiberoptic bronchoscopy with bronchoalveolar lavage, and second‐line antimicrobial agents (all p < 0.05). Serum CIRP and CXCL5 levels were significantly higher in the poor‐prognosis group (both p < 0.001). Multivariable logistic regression analysis demonstrated that neutrophil percentage, MP antibody titer, D‐dimer, CRP, IL‐6, extent of pulmonary involvement, pleural effusion, CIRP, and CXCL5 were independent risk factors for poor prognosis (all p < 0.05). ROC analysis showed areas under the curve (AUCs) of 0.733 for CIRP, 0.752 for CXCL5, and 0.796 for their combination in predicting poor prognosis, with the combination showing superior predictive performance. Levels of NET markers were significantly elevated in the poor‐prognosis group (both p < 0.001), and both CIRP and CXCL5 were positively correlated with MPO‐DNA and CitH3. Conclusions Elevated serum CIRP and CXCL5 levels are associated with poor prognosis in children with MPP and correlate with NET markers. Combined detection may facilitate early identification of high‐risk patients; however, whether these biomarkers influence disease progression through modulation of NET requires further investigation.

The Clinical Respiratory JournalVol. 20(10)
People's Liberation Army 401 Hospital (CN), Jiangxi Chest Hospital (CN), Chinese People's Armed Police General Hospital (CN)
No poverty
Openalex Percentile: Top 18%
Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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