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探索用于治疗神经退行性疾病的生物活性天然产物:一种针对肌萎缩侧索硬化症和帕金森病中雌激素信号通路的计算网络医学方法。

Exploring bioactive natural products for treating neurodegenerative diseases: a computational network medicine approach targeting the estrogen signaling pathway in amyotrophic lateral sclerosis and Parkinson's disease.

作者信息

Chowdhury Mayank Roy, Reddy Ramireddy Venkata Sai, Nampoothiri Navaneeth K, Erva Rajeswara Reddy, Vijaykumar Sudarshana Deepa

机构信息

Department of Biotechnology, National Institute of Technology, Tadepalligudem, Andhra Pradesh, 534101, India.

出版信息

Metab Brain Dis. 2025 Apr 4;40(4):169. doi: 10.1007/s11011-025-01585-y.

Abstract

Amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD) share overlapping molecular mechanisms, including estrogen signaling dysregulation, oxidative stress, and neuroinflammation. Standard treatments often lead to adverse effects due to unintended cross-talk with the estrogen signaling pathway. Identifying key regulatory genes and bioactive plant-derived compounds that modulate estrogen signaling without interfering with standard therapies offers a promising neuroprotective strategy. A network medicine and systems biology approach was used, beginning with the screening of 29 medicinal plants for ALS and 49 for PD, identifying 12 shared plants with neuroprotective potential. Bioactive compounds were screened for gene, protein, and pathway interactions, leading to target prediction (846 ALS-related and 690 PD-related targets) and disease association mining, which identified 93 overlapping genes (OGs). Protein-protein interaction (PPI) network analysis and MCODE clustering revealed ESR1, EGFR, and SRC as key hub-bottleneck (HB) genes, further validated via differential gene expression analysis. Gene ontology (GO) and pathway enrichment analyses revealed significant enrichment in estrogen signaling confirming the involvement of HB genes in neurodegenerative disease progression. Differential expression analysis confirmed ESR1 upregulation in ALS but downregulation in PD, suggesting a converse disease-specific regulatory pattern. Gene regulatory network (GRN) analysis identified hsa-miR-145-5p (ALS) and hsa-miR-181a-5p (PD) as key regulators, while FOXC1, GATA2, and TP53 emerged as crucial transcription factors (TFs) influencing disease progression. Molecular docking and MD simulations validated strong and stable interactions of Eupalitin (CYP19A1, -9.0 kcal/mol), Hesperetin (ESR1, -8.1 kcal/mol), and Sumatrol (PIK3CA, -8.9 kcal/mol). These phytochemicals, derived from Rosmarinus officinalis, Artemisia scoparia, Ocimum tenuiflorum, and Indigofera tinctoria, maintained stable hydrogen bonding and hydrophobic interactions for over 30% of a 25 ns simulation, supporting their therapeutic potential. The identification of ESR1, EGFR, and SRC as key targets, alongside estrogen signaling involvement, highlights the need for targeted nutraceutical interventions. These findings pave the way for safer, plant-based therapies that mitigate neurodegeneration while preserving estrogen signaling integrity, offering a promising adjuvant strategy alongside existing treatments.

摘要

肌萎缩侧索硬化症(ALS)和帕金森病(PD)具有重叠的分子机制,包括雌激素信号失调、氧化应激和神经炎症。由于与雌激素信号通路发生意外串扰,标准治疗往往会导致不良反应。识别在不干扰标准疗法的情况下调节雌激素信号的关键调控基因和具有生物活性的植物衍生化合物,提供了一种有前景的神经保护策略。采用了网络医学和系统生物学方法,首先筛选了29种用于治疗ALS的药用植物和49种用于治疗PD的药用植物,确定了12种具有神经保护潜力的共有植物。对生物活性化合物进行基因、蛋白质和信号通路相互作用筛选,从而进行靶点预测(846个与ALS相关的靶点和690个与PD相关的靶点)以及疾病关联挖掘,确定了93个重叠基因(OGs)。蛋白质-蛋白质相互作用(PPI)网络分析和MCODE聚类显示ESR1、EGFR和SRC是关键的枢纽瓶颈(HB)基因,并通过差异基因表达分析进一步验证。基因本体(GO)和信号通路富集分析显示雌激素信号有显著富集,证实了HB基因参与神经退行性疾病进展。差异表达分析证实ESR1在ALS中上调,但在PD中下调,表明存在相反的疾病特异性调控模式。基因调控网络(GRN)分析确定hsa-miR-145-5p(ALS)和hsa-miR-181a-5p(PD)为关键调控因子,而FOXC1、GATA2和TP53则成为影响疾病进展的关键转录因子(TFs)。分子对接和分子动力学模拟验证了Eupalitin(CYP19A1,-9.0 kcal/mol)、橙皮素(ESR1,-8.1 kcal/mol)和苏门曲醇(PIK3CA,-8.9 kcal/mol)之间有强而稳定的相互作用。这些从迷迭香、茵陈蒿、罗勒和木蓝中提取的植物化学物质,在25纳秒的模拟中超过30%的时间内保持稳定的氢键和疏水相互作用,支持了它们的治疗潜力。将ESR1、EGFR和SRC确定为关键靶点,以及雌激素信号的参与,凸显了靶向营养干预的必要性。这些发现为更安全的基于植物的疗法铺平了道路,这种疗法在减轻神经退行性变的同时保持雌激素信号完整性,为现有治疗提供了一种有前景的辅助策略。

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