FPR1-dependent Pro-inflammatory Ccl4high monocytes/macrophages drive and predict sepsis-induced acute lung injury

The elusive pathogenesis of sepsis-induced acute lung injury (ALI) combined with the absence of reliable diagnostic biomarkers, significantly hinders the development of targeted therapies and precision medicine approaches for affected patients. In this study, we employed scRNA-seq to profile the transcriptional landscape of the lungs in well-established murine models of sepsis-induced ALI. These findings were further validated experimentally leading to the identification of tri-lineage candidate biomarkers for sepsis-associated ALI: SCGB3A2 (in epithelial cells), AKAP12 (in endothelial cells), and CCL4 (in monocytes/macrophages, Mo/Mφ). In pulmonary immune microenvironment of sepsis-induced ALI, Mo/Mφ were identified as the dominant contributors to pulmonary immune heterogeneity during the acute inflammatory phase of sepsis-induced ALI. Among these, the Ccl4high Mo/Mφ subpopulation exhibited disease-specific lung infiltration and a distinct proinflammatory phenotype. Mechanistically, FPR1 was up-regulated in hyperinflammatory cluster of Ccl4high Mo/Mφ. Pharmacological inhibition of FPR1 in vivo selectively reduced pulmonary infiltration of Ccl4high Mo/Mφ and attenuated sepsis-induced ALI. Furthermore, we established a peripheral blood-based five-gene panel (CCL4, NFKBIA, IL1B, BATF, and XBP1) derived from signatures of Ccl4high Mo/Mφ, which robustly predicted sepsis-induced ALI in clinical cohorts. Collectively, our work delineates the transcriptional alterations of lungs in sepsis-induced ALI, identifies candidate biomarkers for sepsis-induced ALI, and establishes a clinically applicable diagnostic model for early detection. These findings enhance our understanding of the underlying mechanisms of sepsis-induced ALI and offer new targets for its precision diagnosis and therapeutic intervention.

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Journal
Respiratory Research
Published
2025-11-05
DOI
https://doi.org/10.1186/s12931-025-03385-5
Primary Topic
S100 Proteins and Annexins
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article
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article

FPR1-dependent Pro-inflammatory Ccl4high monocytes/macrophages drive and predict sepsis-induced acute lung injury

Meiling Piao, Xiangyun Li, Yuan Zhang, Qiang Zhang et al.
Respiratory Research
S100 Proteins and Annexins
article

FPR1-dependent Pro-inflammatory Ccl4high monocytes/macrophages drive and predict sepsis-induced acute lung injury

Meiling Piao, Xiangyun Li, Yuan Zhang, Qiang Zhang, Tan Jin, Jia Shi, Tianyu Yu, Yuyang Miao, Yuhang Li, Lirong Gong, Shuan Dong, Huayang Liu, Jianbo Yu
article en

Abstract

The elusive pathogenesis of sepsis-induced acute lung injury (ALI) combined with the absence of reliable diagnostic biomarkers, significantly hinders the development of targeted therapies and precision medicine approaches for affected patients. In this study, we employed scRNA-seq to profile the transcriptional landscape of the lungs in well-established murine models of sepsis-induced ALI. These findings were further validated experimentally leading to the identification of tri-lineage candidate biomarkers for sepsis-associated ALI: SCGB3A2 (in epithelial cells), AKAP12 (in endothelial cells), and CCL4 (in monocytes/macrophages, Mo/Mφ). In pulmonary immune microenvironment of sepsis-induced ALI, Mo/Mφ were identified as the dominant contributors to pulmonary immune heterogeneity during the acute inflammatory phase of sepsis-induced ALI. Among these, the Ccl4high Mo/Mφ subpopulation exhibited disease-specific lung infiltration and a distinct proinflammatory phenotype. Mechanistically, FPR1 was up-regulated in hyperinflammatory cluster of Ccl4high Mo/Mφ. Pharmacological inhibition of FPR1 in vivo selectively reduced pulmonary infiltration of Ccl4high Mo/Mφ and attenuated sepsis-induced ALI. Furthermore, we established a peripheral blood-based five-gene panel (CCL4, NFKBIA, IL1B, BATF, and XBP1) derived from signatures of Ccl4high Mo/Mφ, which robustly predicted sepsis-induced ALI in clinical cohorts. Collectively, our work delineates the transcriptional alterations of lungs in sepsis-induced ALI, identifies candidate biomarkers for sepsis-induced ALI, and establishes a clinically applicable diagnostic model for early detection. These findings enhance our understanding of the underlying mechanisms of sepsis-induced ALI and offer new targets for its precision diagnosis and therapeutic intervention.

Respiratory ResearchVol. 26(1)
Tianjin Medical University General Hospital (CN), Tianjin Nankai Hospital (CN), Tianjin Anding Hospital (CN), Ministry of Education (ME), Integrative Medicine Institute (US), State Key Laboratory of Chemical Engineering (CN)
Openalex Percentile: Top 71%
S100 Proteins and Annexins
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