CXCL12 and CXCL13 as potential biomarkers for disease severity and recurrence in respiratory syncytial virus bronchiolitis

L Lin Zhang Y Yuanyu Lv Z Zhiao Du J Jiawei Chen (State Key Laboratory of Advanced Materials for Intelligent Sensing and Key Laboratory of Organic Integrated Circuits, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Institute of Molecular Plus, Department of Chemistry) P Peng Mo X Xuena Xu H Huiming Sun Y Yongdong Yan C Canhong Zhu L Li Huang (Beijing National Center for Condensed Matter Physics and Institute of Physics) C Chuangli Hao X Xiuxia Zhou H Heting Dong Z Zhengrong Chen

Abstract

Abstract To examine chemokine expression in children with Respiratory Syncytial Virus (RSV) bronchiolitis and evaluate its clinical utility for early warning and prognosis. Five hospitalised RSV bronchiolitis children and five matched controls were studied. To validate findings, 50 RSV infants and 30 controls were assessed for recurrent wheezing after 1 year. Blood leukocyte RNA-seq identified RSV-associated hub genes via GO/KEGG analysis, with flow cytometry confirming chemokine expression. Twelve hub genes were identified, with 712 differentially expressed genes (292 upregulated, 420 downregulated). RSV patients showed elevated CXCL2, CXCL12, CXCL13, CCL13, and CCL24 ( P  < 0.05). CXCL12 was higher in moderate-to-severe cases (Area Under the Curve, AUC = 0.835, 95% CI 0.714–0.956, P  < 0.05), while CXCL13 was elevated in recurrent wheezers (AUC = 0.851, 95% CI 0.711–0.991, P  < 0.05). CXCL12 predicted severity, and CXCL13 predicted recurrence (ROC-confirmed, P  < 0.05). CXCL12 and CXCL13 may serve as biomarkers for assessing RSV bronchiolitis severity and predicting recurrence, aiding early clinical evaluation and prognosis.

Article Details

Volume / Issue Vol. 16, Issue 1
Published December 08, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (14)

L

Lin Zhang

Y

Yuanyu Lv

Z

Zhiao Du

J

Jiawei Chen

State Key Laboratory of Advanced Materials for Intelligent Sensing and Key Laboratory of Organic Integrated Circuits, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Institute of Molecular Plus, Department of Chemistry

P

Peng Mo

X

Xuena Xu

H

Huiming Sun

Y

Yongdong Yan

C

Canhong Zhu

L

Li Huang

Beijing National Center for Condensed Matter Physics and Institute of Physics

C

Chuangli Hao

X

Xiuxia Zhou

H

Heting Dong

Z

Zhengrong Chen