Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Journal: Scientific reports
Published Date:

Abstract

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific therapies. Although anisodamine hydrobromide (Ani HBr) reduced 28-day mortality in our prior trial, its mechanisms remained unclear. Here, we integrated network pharmacology, machine learning, immunological profiling, molecular simulations, and single-cell transcriptomics to elucidate Ani HBr's multi-target actions. Among 30 cross-species targets, ELANE and CCL5 emerged as core regulators via protein interaction networks, survival modeling (AUC: 0.72-0.95), and statistical significance (p < 0.05). Ani HBr inhibited ELANE-driven NET formation (HR = 1.176), associated with immunosuppression and endothelial damage, while enhancing CCL5-related cytotoxic T-cell recruitment (HR = 0.810). Docking and dynamics simulations showed Ani HBr binds ELANE's catalytic cleft, suggesting direct inhibition of its enzymatic activity, and interacts stably with CCL5 at potential receptor-binding interfaces, indicating a modulatory role. Single-cell analysis revealed ELANE upregulation in CCI-phase neutrophils and widespread yet stage-specific CCL5 expression. These findings support Ani HBr as a phase-tailored agent that targets ELANE in early hyperinflammation while preserving CCL5-mediated immunity. The ELANE/CCL5 prognostic model offers a framework for precision immunotherapy in sepsis.

Authors

  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Danlei Weng
    Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonar Cerebral Resuscitation, Beijing Chaoyang Hospital, Affiliated to Capital Medical University, Beijing, 100020, China.
  • Wei Shi
    Department of Orthopedics, Shenzhen Pediatrics Institute of Shantou University Medical College, Shenzhen, China.
  • Shuxing Wei
    Department of Emergency, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
  • Wenqing Ji
    Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital, Affiliated to Capital Medical University, Beijing, 100020, China.
  • Xiya Wang
    Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, 100020, China.
  • Yali Xu
    Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Xiaoman Wang
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang, China.
  • Xue Mei
    Center for Hypertension and Precision Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
  • Shubin Guo
    Emergency Medicine Clinical Research Center, Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing Chaoyang Hospital, Affiliated to Capital Medical University, Beijing, 100020, China. shubin007@yeah.net.