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Hauptverfasser: Li, Xing, Ren, Kaiqi, Baran, Michal R, Tang, Juan, Wang, Le, Tchivelekete, Gabriel Mbuta, Guo, Yi, Bai, Yang, Yan, Weijian, Shu, Xinhua
Format: Artículo científico
Sprache:en
Veröffentlicht: PloS one 2025
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Online-Zugang:https://pubmed.ncbi.nlm.nih.gov/41042728/
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author Li, Xing
Ren, Kaiqi
Baran, Michal R
Tang, Juan
Wang, Le
Tchivelekete, Gabriel Mbuta
Guo, Yi
Bai, Yang
Yan, Weijian
Shu, Xinhua
author_facet Li, Xing
Ren, Kaiqi
Baran, Michal R
Tang, Juan
Wang, Le
Tchivelekete, Gabriel Mbuta
Guo, Yi
Bai, Yang
Yan, Weijian
Shu, Xinhua
Li, Xing
Ren, Kaiqi
Baran, Michal R
Tang, Juan
Wang, Le
Tchivelekete, Gabriel Mbuta
Guo, Yi
Bai, Yang
Yan, Weijian
Shu, Xinhua
collection PubMed - marine biology
contents Revealing the molecular mechanisms underlying Xuebijing against sepsis and septic acute kidney injury via bioinformatics and experimental approaches. Li, Xing Ren, Kaiqi Baran, Michal R Tang, Juan Wang, Le Tchivelekete, Gabriel Mbuta Guo, Yi Bai, Yang Yan, Weijian Shu, Xinhua Sepsis Drugs, Chinese Herbal Acute Kidney Injury Molecular Docking Simulation Humans Computational Biology Animals Protein Interaction Maps Matrix Metalloproteinase 9 Signal Transduction Tumor Necrosis Factor-alpha Male STAT3 Transcription Factor Interleukin-6 Sepsis and its related complication acute kidney injury (septic-AKI) are associated with high mortality and morbidity, and have become a global health challenge. Xuebijing (XBJ) injection prepared from five traditional Chinese medicines (TCM) is commonly used for clinical treatment of sepsis and septic-AKI. Yet, the underlying therapeutic mechanism of XBJ is remain elusive. This study aims to unveil the underlying mechanisms of XBJ in treating sepsis and septic-AKI. In this study, we used network pharmacology and molecular docking to screen the core drug-disease targets and predict the potential mechanism involving in XBJ against sepsis and septic AKI. Furthermore, in vitro experiments were performed to verify the predicted results and clarify the underlying mechanism. Five hub targets including MMP9, TNF, IL-6, STAT3 and TP53 were identified by constructing and analyzing protein-protein interaction network. Eight key active components linking to five hub targets were also reversely screened. The results of gene ontology (GO) and pathway enrichment analysis showed that on the list of top 10 significant GO terms and pathways, most were inflammatory signaling pathways. The molecular docking results suggested that eight active components more preferentially bound to MMP9 and TNFα with the highest affinity. In vitro, XBJ significantly decreased the mRNA and protein levels of IL-1β, IL-6, TNFα and MMP9 in HEK-293 cells exposed to lipopolysaccharides (LPS). XBJ exerted therapeutic effects on sepsis and septic-AKI through suppression IL-1β/MMP9, IL-6/MMP9 and TNFα/MMP9 at both mRNA and protein level. This study provides a pharmacological basis for further validating the therapeutic mechanism of XBJ in treating sepsis and septic-AKI by in vitro and in vivo experiments.
format Artículo científico
id pubmed_41042728
institution PubMed
language en
publishDate 2025
publisher PloS one
record_format pubmed
spellingShingle Revealing the molecular mechanisms underlying Xuebijing against sepsis and septic acute kidney injury via bioinformatics and experimental approaches.
Li, Xing
Ren, Kaiqi
Baran, Michal R
Tang, Juan
Wang, Le
Tchivelekete, Gabriel Mbuta
Guo, Yi
Bai, Yang
Yan, Weijian
Shu, Xinhua
Sepsis
Drugs, Chinese Herbal
Acute Kidney Injury
Molecular Docking Simulation
Humans
Computational Biology
Animals
Protein Interaction Maps
Matrix Metalloproteinase 9
Signal Transduction
Tumor Necrosis Factor-alpha
Male
STAT3 Transcription Factor
Interleukin-6
Revealing the molecular mechanisms underlying Xuebijing against sepsis and septic acute kidney injury via bioinformatics and experimental approaches. Li, Xing Ren, Kaiqi Baran, Michal R Tang, Juan Wang, Le Tchivelekete, Gabriel Mbuta Guo, Yi Bai, Yang Yan, Weijian Shu, Xinhua Sepsis Drugs, Chinese Herbal Acute Kidney Injury Molecular Docking Simulation Humans Computational Biology Animals Protein Interaction Maps Matrix Metalloproteinase 9 Signal Transduction Tumor Necrosis Factor-alpha Male STAT3 Transcription Factor Interleukin-6 Sepsis and its related complication acute kidney injury (septic-AKI) are associated with high mortality and morbidity, and have become a global health challenge. Xuebijing (XBJ) injection prepared from five traditional Chinese medicines (TCM) is commonly used for clinical treatment of sepsis and septic-AKI. Yet, the underlying therapeutic mechanism of XBJ is remain elusive. This study aims to unveil the underlying mechanisms of XBJ in treating sepsis and septic-AKI. In this study, we used network pharmacology and molecular docking to screen the core drug-disease targets and predict the potential mechanism involving in XBJ against sepsis and septic AKI. Furthermore, in vitro experiments were performed to verify the predicted results and clarify the underlying mechanism. Five hub targets including MMP9, TNF, IL-6, STAT3 and TP53 were identified by constructing and analyzing protein-protein interaction network. Eight key active components linking to five hub targets were also reversely screened. The results of gene ontology (GO) and pathway enrichment analysis showed that on the list of top 10 significant GO terms and pathways, most were inflammatory signaling pathways. The molecular docking results suggested that eight active components more preferentially bound to MMP9 and TNFα with the highest affinity. In vitro, XBJ significantly decreased the mRNA and protein levels of IL-1β, IL-6, TNFα and MMP9 in HEK-293 cells exposed to lipopolysaccharides (LPS). XBJ exerted therapeutic effects on sepsis and septic-AKI through suppression IL-1β/MMP9, IL-6/MMP9 and TNFα/MMP9 at both mRNA and protein level. This study provides a pharmacological basis for further validating the therapeutic mechanism of XBJ in treating sepsis and septic-AKI by in vitro and in vivo experiments.
title Revealing the molecular mechanisms underlying Xuebijing against sepsis and septic acute kidney injury via bioinformatics and experimental approaches.
topic Sepsis
Drugs, Chinese Herbal
Acute Kidney Injury
Molecular Docking Simulation
Humans
Computational Biology
Animals
Protein Interaction Maps
Matrix Metalloproteinase 9
Signal Transduction
Tumor Necrosis Factor-alpha
Male
STAT3 Transcription Factor
Interleukin-6
url https://pubmed.ncbi.nlm.nih.gov/41042728/