Investigating the Mechanisms of Lycii fructus in Treating Nonalcoholic Fatty Liver Disease and Diabetes Comorbidity Through Network Pharmacology and Molecular Dynamics

IF 3.5 2区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Peng Sun, Jiahui Song, Yang Liu, Xiujing Li, Yiming Zhang, Yuxing Zhou, Wei Gong
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引用次数: 0

Abstract

Non-alcoholic fatty liver disease (NAFLD) and diabetes mellitus (DM) are prevalent metabolic disorders that frequently coexist, yet their shared molecular mechanisms remain poorly understood, and current therapies often yield suboptimal outcomes. Lycium barbarum L. (Lycii fructus, LF), a traditional medicinal herb, has demonstrated clinical efficacy in treating both conditions, but its mechanism of action in comorbidity management remains unclear. Active LF compounds were identified via the TCMSP database, with potential targets predicted using Swiss Target Prediction and PharmMapper. Disease-associated proteins for NAFLD and DM were curated from OMIM, GeneCards, DisGeNET, UniProt, DrugBank, and TTD. A protein–protein interaction (PPI) network was constructed from these targets, and GO and KEGG pathway analyses were performed using the DAVID platform. Key targets were further refined through network module analysis via Metascape. Drug-likeness of bioactive compounds was assessed using SwissADME and ADMETlab 2.0. Molecular docking and dynamics simulations validated interactions between core targets and LF compounds. Mendelian randomization (MR) analysis tested causal relationships between core genes and disease phenotypes. We identified 58 shared therapeutic targets for NAFLD-DM comorbidity, including HSP90AA1, ESR1, MMP9, EGFR, AKT1, and CASP3. GO analysis implicated LF in blood pressure regulation and glucose-stimulated insulin secretion. KEGG pathways highlighted modulation of MAPK, PI3K-Akt, FoxO, and mTOR signaling. 24-methylenelanost-8-enol and cryptoxanthin monoepoxide emerged as core bioactive compounds with favorable drug-likeness. Molecular docking confirmed strong binding of 24-methylenelanost-8-enol to HSP90AA1 and cryptoxanthin monoepoxide to MMP9, further supported by dynamics simulations. MR analysis revealed a significant causal role for CASP3 in both NAFLD and DM, aligning with network pharmacology predictions. LF's therapeutic effects on NAFLD-DM comorbidity likely arise from terpenoid and cryptoxanthin mediated modulation of apoptosis and inflammation pathway. This study identifies shared molecular networks, proposes candidate mechanisms for LF's efficacy, and provides a framework for targeting multifactorial metabolic diseases.

通过网络药理学和分子动力学研究枸杞子治疗非酒精性脂肪肝和糖尿病合并症的机制
非酒精性脂肪性肝病(NAFLD)和糖尿病(DM)是常见的代谢性疾病,经常共存,但它们共同的分子机制仍然知之甚少,目前的治疗方法往往产生不理想的结果。枸杞(Lycium barbarum L., Lycii fructus, LF)是一种传统草药,已经证明了治疗这两种疾病的临床疗效,但其在合并症管理中的作用机制尚不清楚。通过TCMSP数据库鉴定活性LF化合物,并使用Swiss Target Prediction和PharmMapper预测潜在靶点。NAFLD和DM的疾病相关蛋白从OMIM、GeneCards、DisGeNET、UniProt、DrugBank和TTD中筛选。利用这些靶点构建了蛋白-蛋白相互作用(PPI)网络,并使用DAVID平台进行GO和KEGG通路分析。通过metscape的网络模块分析进一步细化关键目标。采用SwissADME和ADMETlab 2.0对活性化合物进行药物相似性评价。分子对接和动力学模拟验证了核心靶点与LF化合物之间的相互作用。孟德尔随机化(MR)分析测试了核心基因与疾病表型之间的因果关系。我们确定了58个NAFLD-DM合并症的共同治疗靶点,包括HSP90AA1、ESR1、MMP9、EGFR、AKT1和CASP3。氧化石墨烯分析暗示LF参与血压调节和葡萄糖刺激的胰岛素分泌。KEGG通路突出了MAPK、PI3K-Akt、FoxO和mTOR信号的调节。24-亚甲基-8-烯醇和隐黄质单环氧化物是具有良好药物相似性的核心生物活性化合物。分子对接证实了24-亚甲基烯醇-8-烯醇与HSP90AA1和隐黄质单环氧化物与MMP9的强结合,动力学模拟进一步支持了这一结果。MR分析揭示了CASP3在NAFLD和DM中的重要因果作用,与网络药理学预测一致。LF对NAFLD-DM合并症的治疗作用可能来自萜类和隐黄质介导的细胞凋亡和炎症通路的调节。本研究确定了共享的分子网络,提出了LF疗效的候选机制,并为靶向多因子代谢疾病提供了框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Food Science & Nutrition
Food Science & Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
7.40
自引率
5.10%
发文量
434
审稿时长
24 weeks
期刊介绍: Food Science & Nutrition is the peer-reviewed journal for rapid dissemination of research in all areas of food science and nutrition. The Journal will consider submissions of quality papers describing the results of fundamental and applied research related to all aspects of human food and nutrition, as well as interdisciplinary research that spans these two fields.
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