Exploring Mechanisms of Lang Qing Ata in Non-Alcoholic Steatohepatitis Based on Metabolomics, Network Pharmacological Analysis, and Experimental Validation.

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL Drug Design, Development and Therapy Pub Date : 2025-03-11 eCollection Date: 2025-01-01 DOI:10.2147/DDDT.S503757
Shupei Li, Hanlong Zhu, Qi Zhai, Yu Hou, Ya Yang, Haifeng Lan, Mingzuo Jiang, Ji Xuan
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Abstract

Background: Non-alcoholic steatohepatitis (NASH), as a progressive form of Non-alcoholic fatty liver disease (NAFLD), poses a significant threat to human health as a prevalent and common condition, with a lack of safe and effective therapeutic options. However, the therapeutic effects and potential mechanisms of Lang Qing Ata (LQAtta) against NASH remain elusive.

Materials and methods: The components of LQAtta were identified using Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry (UHPLC-MS/MS). Subsequently, we employed network construction and analysis approaches within the field of network pharmacology. By integrating known databases and target prediction algorithms, which encompassed database-based target prediction, protein-protein interaction networks, as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, we unveiled the potential key targets and signaling pathways that these bioactive components might engage with. These discoveries were further validated in subsequent mouse models. An HFHC-induced NASH mouse model was used to validate the therapeutic effects and potential mechanisms of LQAtta on NASH.

Results: From the UHPLC-MS/MS analysis of LQAtta, a total of 1518 chemical components were identified, with 106 of them being absorbed into the bloodstream. Additionally, based on the acquisition of targets from both LQAtta and the NASH database, a total of 160 common targets were screened. KEGG enrichment analysis indicated that LQAtta may alleviate NASH by modulating pathways such as the Toll-like receptor signaling pathway, the NF-κB signaling pathway, and inflammation-related pathways. In vivo experimental results demonstrated that LQAtta could alleviate liver injury, steatosis, and inflammation induced by NASH, thereby slowing down the disease process. Additionally, LQAtta inhibited the expression and phosphorylation of NF-κB protein, playing a role in preventing NASH.

Conclusion: In this study, the combination of mass spectrometry analysis, network pharmacology, and animal experiments preliminarily elucidated the potential of LQAtta to treat NASH through NF-κB pathways.

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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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