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

IF 5.1 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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基于代谢组学、网络药理学分析和实验验证探索郎清Ata治疗非酒精性脂肪性肝炎的机制。
背景:非酒精性脂肪性肝炎(NASH)作为非酒精性脂肪性肝病(NAFLD)的一种进行性形式,作为一种普遍和常见的疾病,对人类健康构成重大威胁,缺乏安全有效的治疗选择。然而,郎清Ata (LQAtta)对NASH的治疗效果和潜在机制尚不清楚。材料和方法:采用超高效液相色谱-串联质谱法(UHPLC-MS/MS)对LQAtta的成分进行鉴定。随后,我们在网络药理学领域采用网络构建和分析方法。通过整合已知的数据库和靶标预测算法,包括基于数据库的靶标预测、蛋白质-蛋白质相互作用网络、基因本体(GO)和京都基因与基因组百科全书(KEGG)途径富集分析,我们揭示了这些生物活性成分可能参与的潜在关键靶点和信号通路。这些发现在随后的小鼠模型中得到进一步验证。采用hfhc诱导的NASH小鼠模型验证LQAtta对NASH的治疗作用及可能机制。结果:通过UHPLC-MS/MS分析,共鉴定出1518种化学成分,其中106种被血液吸收。此外,基于从LQAtta和NASH数据库获取的靶标,共筛选了160个共同靶标。KEGG富集分析表明,LQAtta可能通过调节toll样受体信号通路、NF-κB信号通路和炎症相关通路等途径缓解NASH。体内实验结果表明,LQAtta可以减轻NASH引起的肝损伤、脂肪变性和炎症,从而减缓疾病进程。此外,LQAtta抑制NF-κB蛋白的表达和磷酸化,在预防NASH中发挥作用。结论:本研究结合质谱分析、网络药理学和动物实验初步阐明了LQAtta通过NF-κB通路治疗NASH的潜力。
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阿拉丁
2-Amino-3-(2-chloro-phenyl)-propionic acid
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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