Evidence map›Paper›PMID 41042728›Full record

ArticlePloS one2025

Revealing the molecular mechanisms underlying Xuebijing against sepsis and septic acute kidney injury via bioinformatics and experimental approaches.

Xing Li, Kaiqi Ren, Michal R Baran, Juan Tang, Le Wang, Gabriel Mbuta Tchivelekete, Yi Guo, Yang Bai, Weijian Yan, Xinhua Shu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xing LiCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Kaiqi RenCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Michal R BaranDepartment of Biological and Biomedical Sciences, Glasgow Caledonian University, Glasgow, United Kingdom.
Juan TangCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Le WangCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Gabriel Mbuta TchiveleketeDepartment of Biological and Biomedical Sciences, Glasgow Caledonian University, Glasgow, United Kingdom.
Yi GuoCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Yang BaiCenter for Biomedical Innovation and Technology, PuAi Medical School, Shaoyang University, Shaoyang, China.
Weijian YanDepartment of Nephrology, Shaoyang University Affiliated Second Hospital, Shaoyang, Hunan, China.
Xinhua ShuDepartment of Biological and Biomedical Sciences, Glasgow Caledonian University, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-3760-3019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis 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.

methodsIn 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.

resultsFive 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).

conclusionsXBJ 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.

Indexed as

Acute Kidney InjuryComputational BiologyDrugs, Chinese HerbalSepsisAnimalsHumansInterleukin-6MaleMatrix Metalloproteinase 9Molecular Docking SimulationProtein Interaction MapsSignal TransductionSTAT3 Transcription FactorTumor Necrosis Factor-alphaDrugs, Chinese HerbalInterleukin-6Matrix Metalloproteinase 9STAT3 Transcription FactorTumor Necrosis Factor-alphaXuebijing

Identifiers

PMID41042728
PMCPMC12494294

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.