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<p>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 <i>Ccl4</i><sup><i>high</i></sup> Mo/Mφ subpopulation exhibited disease-specific lung infiltration and a distinct proinflammatory phenotype. Mechanistically, FPR1 was up-regulated in hyperinflammatory cluster of <i>Ccl4</i><sup><i>high</i></sup> Mo/Mφ. Pharmacological inhibition of FPR1 in vivo selectively reduced pulmonary infiltration of <i>Ccl4</i><sup><i>high</i></sup> Mo/Mφ and attenuated sepsis-induced ALI. Furthermore, we established a peripheral blood-based five-gene panel (<i>CCL4</i>, <i>NFKBIA</i>, <i>IL1B</i>, <i>BATF</i>, and <i>XBP1</i>) derived from signatures of <i>Ccl4</i><sup><i>high</i></sup> 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月5日

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

摘要

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.