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.

IF 3.2 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Mayank Roy Chowdhury, Ramireddy Venkata Sai Reddy, Navaneeth K Nampoothiri, Rajeswara Reddy Erva, Sudarshana Deepa Vijaykumar
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引用次数: 0

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.

探索治疗神经退行性疾病的生物活性天然产物:针对肌萎缩侧索硬化和帕金森病雌激素信号通路的计算网络医学方法。
肌萎缩性侧索硬化症(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。标准治疗往往导致不良反应,由于无意的串扰雌激素信号通路。识别关键调控基因和生物活性植物源性化合物,在不干扰标准治疗的情况下调节雌激素信号,提供了一个有前途的神经保护策略。采用网络医学和系统生物学方法,从筛选29种治疗ALS的药用植物和49种治疗PD的药用植物开始,鉴定出12种具有神经保护潜力的共享植物。对生物活性化合物进行基因、蛋白和通路相互作用筛选,进行靶标预测(846个als相关靶点和690个pd相关靶点)和疾病关联挖掘,鉴定出93个重叠基因(OGs)。蛋白-蛋白相互作用(PPI)网络分析和MCODE聚类分析显示ESR1、EGFR和SRC是关键的hub-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)和通路富集分析显示雌激素信号显著富集,证实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,而在PD中下调,提示一种相反的疾病特异性调节模式。基因调控网络(GRN)分析发现hsa-miR-145-5p (ALS)和hsa-miR-181a-5p (PD)是关键的调节因子,而FOXC1、GATA2和TP53是影响疾病进展的关键转录因子(tf)。分子对接和MD模拟验证了Eupalitin (CYP19A1, -9.0 kcal/mol)、Hesperetin (ESR1, -8.1 kcal/mol)和Sumatrol (PIK3CA, -8.9 kcal/mol)之间强而稳定的相互作用。这些植物化学物质分别来自迷迭香、scopia scopia、Ocimum tenuflorum和Indigofera tinctoria,在25 ns的模拟中,它们保持了30%以上的稳定氢键和疏水相互作用,支持了它们的治疗潜力。ESR1、EGFR和SRC作为关键靶点的确定,以及雌激素信号的参与,强调了有针对性的营养保健干预的必要性。这些发现为更安全、基于植物的治疗铺平了道路,这些治疗可以减轻神经退行性变,同时保持雌激素信号的完整性,为现有治疗提供了一种有希望的辅助策略。
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来源期刊
Metabolic brain disease
Metabolic brain disease 医学-内分泌学与代谢
CiteScore
5.90
自引率
5.60%
发文量
248
审稿时长
6-12 weeks
期刊介绍: Metabolic Brain Disease serves as a forum for the publication of outstanding basic and clinical papers on all metabolic brain disease, including both human and animal studies. The journal publishes papers on the fundamental pathogenesis of these disorders and on related experimental and clinical techniques and methodologies. Metabolic Brain Disease is directed to physicians, neuroscientists, internists, psychiatrists, neurologists, pathologists, and others involved in the research and treatment of a broad range of metabolic brain disorders.
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