Serum and Urine Metabolite Profiling Combined With Network Pharmacology to Predict the Renoprotective Mechanism of Huangkui Capsule Against Acute Kidney Injury
{"title":"Serum and Urine Metabolite Profiling Combined With Network Pharmacology to Predict the Renoprotective Mechanism of Huangkui Capsule Against Acute Kidney Injury","authors":"Jin-Jing Shi, Jian-Cheng Liao, Si-Man Qiao, Yu-Ting Tang, Jian-Dong Zou, Chang-Yin Li","doi":"10.1002/bmc.70557","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Huangkui capsule (HKC), the ethanol extract of <i>Abelmoschus Manihot</i> (L.) Medicus, is well known for its nephroprotective effects against chronic kidney diseases, but its therapeutic potential in acute kidney injury (AKI) and the underlying mechanisms remain largely unexplored. In this study, a simple and reliable LC-Q-TOF/MS method was developed to detect HKC metabolites in rat serum and urine. A metabolite–disease target network was constructed to predict the pharmacological activities of the serum metabolites, followed by PPI network analysis for hub target identification and GO/KEGG enrichment analyses. A total of 41 urine and 28 serum metabolites were identified. Network pharmacology analysis revealed 50 targets associated with 15 metabolites in the context of HKC treatment of AKI. AKT1 and its related pathways were predicted to serve as a central hub, and molecular docking analysis further predicted favorable binding affinity between AKT1 and all six screened key metabolites. This study established a practical approach for identifying HKC metabolites in vivo and provided a systematic framework for predicting the anti-AKI mechanism of HKC.</p>\n </div>","PeriodicalId":8861,"journal":{"name":"Biomedical Chromatography","volume":"40 9","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Chromatography","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bmc.70557","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Huangkui capsule (HKC), the ethanol extract of Abelmoschus Manihot (L.) Medicus, is well known for its nephroprotective effects against chronic kidney diseases, but its therapeutic potential in acute kidney injury (AKI) and the underlying mechanisms remain largely unexplored. In this study, a simple and reliable LC-Q-TOF/MS method was developed to detect HKC metabolites in rat serum and urine. A metabolite–disease target network was constructed to predict the pharmacological activities of the serum metabolites, followed by PPI network analysis for hub target identification and GO/KEGG enrichment analyses. A total of 41 urine and 28 serum metabolites were identified. Network pharmacology analysis revealed 50 targets associated with 15 metabolites in the context of HKC treatment of AKI. AKT1 and its related pathways were predicted to serve as a central hub, and molecular docking analysis further predicted favorable binding affinity between AKT1 and all six screened key metabolites. This study established a practical approach for identifying HKC metabolites in vivo and provided a systematic framework for predicting the anti-AKI mechanism of HKC.
期刊介绍:
Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.