Potential mechanism prediction of indole-3-propionic acid against diminished ovarian reserve via network pharmacology, molecular docking and experimental verification.

IF 3.3 2区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE BMC Complementary Medicine and Therapies Pub Date : 2024-08-27 DOI:10.1186/s12906-024-04611-1
Ahui Liu, Zhijun Liu, Haofei Shen, Wenjing Du, Yanbiao Jiang, Liyan Wang, Rui Zhang, Panpan Jin, Xuehong Zhang
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Abstract

Background: Oxidative stress (OS) is one of the major causes of ovarian aging and dysfunction. Indole-3-propionic acid (IPA) is an indole compound derived from tryptophan with free radical scavenging and antioxidant properties, and thus may have potential applications in protecting ovarian function, although the exact mechanisms are unknown. This study aims to preliminarily elucidate the potential mechanisms of IPA that benefit ovarian reserve function through network pharmacology, molecular docking, and experimental verification.

Methods: The related protein targets of IPA were searched on SwissTargetPrediction, TargetNet, BATMAN-TCM, and PharmMapper databases. The potential targets of diminished ovarian reserve (DOR) were identified from OMIM, GeneCards, DrugBank, and DisGeNET databases. The common targets were uploaded directly to the STRING database to construct PPI networks. We then performed GO and KEGG enrichment analysis on the targets. Subsequently, molecular docking and molecular dynamics simulation were used to validate the binding conformation of IPA to candidate targets. Furthermore, we carried out in vitro experiments to validate the prediction results of network pharmacology.

Results: We identified a total of 61 potential targets for the interaction of IPA with DOR. The PPI network topological parameter analysis yielded 13 hub genes for DOR treatment. The GO biological process enrichment analysis identified 293 entries, mainly enriched in aging, signal transduction, response to hypoxia, negative regulation of apoptotic process, and positive regulation of cell proliferation. The KEGG enrichment analysis mainly included lipid and atherosclerosis, progesterone-mediated oocyte maturation, AGE-RAGE, relaxin, estrogen, and other signaling pathways. The molecular docking further revealed the direct binding of IPA with six hub proteins including NOS3, AKT1, EGFR, PPARA, SRC, and TNF. In vitro experiments showed that IPA pretreatment attenuated H2O2-induced cellular oxidative stress damage, while IPA exerted cytoprotective and antioxidant damage effects by regulating the six hub genes and antioxidant proteins.

Conclusion: We systematically illustrated the potential protective effects of IPA against DOR through multiple targets and pathways using network pharmacology, and further verified the cytoprotective effect and antioxidant properties of IPA through in vitro experiments. These findings provide new insights into the targets and molecular mechanisms whereby IPA improves DOR.

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通过网络药理学、分子对接和实验验证,预测吲哚-3-丙酸对抗卵巢储备功能减退的潜在机制。
背景:氧化应激(OS)是导致卵巢衰老和功能障碍的主要原因之一。吲哚-3-丙酸(IPA)是一种从色氨酸中提取的吲哚化合物,具有清除自由基和抗氧化的特性,因此可能具有保护卵巢功能的潜在用途,但其确切机制尚不清楚。本研究旨在通过网络药理学、分子对接和实验验证,初步阐明IPA有益于卵巢储备功能的潜在机制:方法:在 SwissTargetPrediction、TargetNet、BATMAN-TCM 和 PharmMapper 数据库中检索 IPA 的相关蛋白靶点。从 OMIM、GeneCards、DrugBank 和 DisGeNET 数据库中确定了卵巢储备功能减退(DOR)的潜在靶点。共同靶点被直接上传到 STRING 数据库以构建 PPI 网络。然后,我们对这些靶点进行了 GO 和 KEGG 富集分析。随后,我们使用分子对接和分子动力学模拟来验证 IPA 与候选靶标的结合构象。此外,我们还进行了体外实验来验证网络药理学的预测结果:结果:我们共发现了61个IPA与DOR相互作用的潜在靶点。PPI网络拓扑参数分析得出了13个治疗DOR的枢纽基因。GO生物过程富集分析发现了293个条目,主要富集在衰老、信号转导、对缺氧的反应、凋亡过程的负调控和细胞增殖的正调控等方面。KEGG富集分析主要包括脂质和动脉粥样硬化、孕酮介导的卵母细胞成熟、AGE-RAGE、松弛素、雌激素和其他信号通路。分子对接进一步揭示了 IPA 与 NOS3、AKT1、EGFR、PPARA、SRC 和 TNF 等六个枢纽蛋白的直接结合。体外实验表明,IPA预处理可减轻H2O2诱导的细胞氧化应激损伤,同时IPA通过调控六个枢纽基因和抗氧化蛋白发挥细胞保护和抗氧化损伤作用:我们利用网络药理学系统阐述了IPA通过多靶点、多途径对DOR的潜在保护作用,并通过体外实验进一步验证了IPA的细胞保护作用和抗氧化特性。这些发现为了解IPA改善DOR的靶点和分子机制提供了新的视角。
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来源期刊
BMC Complementary Medicine and Therapies
BMC Complementary Medicine and Therapies INTEGRATIVE & COMPLEMENTARY MEDICINE-
CiteScore
6.10
自引率
2.60%
发文量
300
审稿时长
19 weeks
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