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解锁白藜芦醇的潜力:通过MAPK1靶向动脉粥样硬化中的铁死亡。

Unlocking Resveratrol's Potential: Targeting Ferroptosis in Atherosclerosis Through MAPK1.

作者信息

Zhang Yao, Cheng Jun, Jian Wu

机构信息

Department of Inspection Changde Hospital, Xiangya School of Medicine, Central South University (The first people's hospital of Changde city) Changde Hunan China.

出版信息

Food Sci Nutr. 2025 Jul 21;13(7):e70466. doi: 10.1002/fsn3.70466. eCollection 2025 Jul.

Abstract

Atherosclerosis (AS) is a chronic inflammatory metabolic disorder and a leading cause of cardiovascular diseases. Resveratrol (RSV), a natural polyphenolic phytoestrogen, exhibits anti-atherosclerotic effects by modulating oxidative stress and ferroptosis, yet its key therapeutic targets remain unclear. Using network pharmacology, bioinformatics, machine learning, and molecular docking, we identified core targets and mechanisms of RSV in ferroptosis and anti-atherosclerosis. Experimental validation was performed using ApoE mouse fed a high-fat diet (HFD) for 12 weeks to establish AS model. We assessed aortic and aortic root plaque formation, serum oxidative stress, and iron levels. By mining online databases, we identified 31 shared targets at the intersection of RSV-AS-Ferroptosis. A PPI network was generated using STRING, and GeneMANIA, GO and KEGG analyses revealed key biological processes and pathways (such as oxidative stress). Employing eight machine learning algorithms, we pinpointed six key targets: MAPK1, IL1B, RELA, HIF1A, SRC, and PTEN. Differential gene docking and molecular docking analyses showed that MAPK1 (-8.8 kcal/mol binding energy) had relatively good affinity. In vivo, RSV treatment reduced aortic lipid plaques, reduced serum GSSG/GSH, SOD, MDA, and iron levels, and significantly downregulated MAPK1 expression in the aortic root. RSV could modulate the ferroptosis pathway through targeting the MAPK1 gene, providing a new theoretical framework for AS prevention and treatment.

摘要

动脉粥样硬化(AS)是一种慢性炎症性代谢紊乱疾病,也是心血管疾病的主要病因。白藜芦醇(RSV)是一种天然多酚类植物雌激素,通过调节氧化应激和铁死亡发挥抗动脉粥样硬化作用,但其关键治疗靶点仍不明确。我们运用网络药理学、生物信息学、机器学习和分子对接技术,确定了RSV在铁死亡和抗动脉粥样硬化中的核心靶点及机制。采用高脂饮食(HFD)喂养12周的载脂蛋白E(ApoE)小鼠建立AS模型进行实验验证。我们评估了主动脉和主动脉根部斑块形成、血清氧化应激和铁水平。通过挖掘在线数据库,我们在RSV-AS-铁死亡的交集处确定了31个共同靶点。使用STRING生成蛋白质-蛋白质相互作用(PPI)网络,基因共表达网络分析(GeneMANIA)、基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析揭示了关键生物学过程和信号通路(如氧化应激)。运用八种机器学习算法,我们确定了六个关键靶点:丝裂原活化蛋白激酶1(MAPK1)、白细胞介素1β(IL1B)、信号转导和转录激活因子3(RELA)、缺氧诱导因子1α(HIF1A)、原癌基因酪氨酸蛋白激酶(SRC)和第10号染色体缺失的磷酸酶及张力蛋白同源物(PTEN)。差异基因对接和分子对接分析表明,MAPK1(结合能为-8.8 kcal/mol)具有相对较好的亲和力。在体内,RSV治疗可减少主动脉脂质斑块,降低血清谷胱甘肽二硫化物/谷胱甘肽(GSSG/GSH)、超氧化物歧化酶(SOD)、丙二醛(MDA)和铁水平,并显著下调主动脉根部MAPK1表达。RSV可通过靶向MAPK1基因调节铁死亡途径,为AS的防治提供新的理论框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c389/12280227/9b0a3e6abe72/FSN3-13-e70466-g007.jpg

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