探索通过 Akt/GSK-3β/tau 通路调节分配色氨酸作为神经保护剂,防止氧化应激诱导的神经凋亡

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-07-09 DOI:10.1016/j.compbiolchem.2024.108144
Belma Aslim , Serap Nigdelioglu Dolanbay , Sahra Setenay Baran
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引用次数: 0

摘要

阿尔茨海默病(AD)的特征是氧化应激诱导的高磷酸化蛋白导致神经元丧失。阿兹海默病仍然是医学领域的一项艰巨挑战,因为目前针对单一生物标志物的治疗方法收效甚微。因此,人们对能针对机理的新型化合物的研究兴趣日渐浓厚,从而提供了另一种治疗方法。本研究的目的是调查异喹啉生物碱--分配色氨酸对阿德相关机制的影响,以开发替代治疗策略。本研究通过用 H2O2 诱导神经生长因子(NGF)分化的 PC12(dPC12)细胞产生氧化应激,获得了体外 AD 细胞模型,并研究了不同浓度的分配色氨酸对体外 AD 细胞模型的影响机制。通过流式细胞术评估了这些处理在ROS水平上的抗氧化作用及其对细胞周期的调控作用,同时使用流式细胞术和qRT-PCR评估了它们的抗凋亡作用。此外,我们还通过 Western 印迹分析了 Akt、GSK-3β 和 tau 蛋白的磷酸化水平,并通过分子对接证明了 Akt、GSK-3β、CDK5 蛋白和allocryptopine 之间的相互作用。我们的研究结果表明,allocryptopine能有效抑制细胞内ROS水平,同时通过增加p-Akt和p-GSK-3β蛋白来增强Akt/GSK-3β信号通路。这一机制在抑制神经细胞凋亡和防止 tau 过度磷酸化方面发挥了关键作用。此外,allocryptopine 还能调节 G1/S 细胞周期的进展,导致细胞周期停滞在 G1 期,促进细胞修复机制,可能有助于抑制神经细胞凋亡。硅学研究结果表明,allocryptopine 与细胞周期蛋白依赖性激酶 5(CDK 5)对接,在靶蛋白 tau 磷酸化 Akt 和 GSK-3β 中发挥作用。因此,硅学研究结果支持体外研究结果。结果表明,分配色氨酸可通过调节 Akt/GSK-3β 信号通路,保护 dPC12 细胞免受氧化应激诱导的细胞凋亡和 tau 蛋白过度磷酸化的影响。基于这些发现,可以认为分配色平具有靶向生物标志物的能力,并对与AD相关的机制有显著影响,有望成为治疗AD的潜在候选药物。建议今后开展进一步的研究和临床试验。
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Exploring allocryptopine as a neuroprotective agent against oxidative stress-induced neural apoptosis via Akt/GSK-3β/tau pathway modulation

Alzheimer’s disease (AD) is characterized by neuronal loss due to hyperphosphorylated proteins induced by oxidative stress. AD remains a formidable challenge in the medical field, as current treatments focusing on single biomarkers have yielded limited success. Hence, there’s a burgeoning interest in investigating novel compounds that can target mechanisms, offering alternative therapeutic approaches. The aim of this study is to investigate the effects of allocryptopine, an isoquinoline alkaloid, on mechanisms related to AD in order to develop alternative treatment strategies. In this study, the in vitro AD cell model was obtained by inducing nerve growth factor (NGF)-differentiated PC12 (dPC12) cells to oxidative stress with H2O2, and also the effect mechanism of different allocryptopine concentrations on the in vitro AD cell model was studied. The treatments’ antioxidative effects at the ROS level and their regulation of the cell cycle were assessed through flow cytometry, while their anti-apoptotic effects were evaluated using both flow cytometry and qRT-PCR. Additionally, the phosphorylation levels of Akt, GSK-3β, and tau proteins were analyzed via western blot, and the interactions between Akt, GSK-3β, CDK5 proteins, and allocryptopine were demonstrated through molecular docking. Our study’s conclusive results revealed that allocryptopine effectively suppressed intracellular ROS levels, while simultaneously enhancing the Akt/GSK-3β signaling pathway by increasing p-Akt and p-GSK-3β proteins. This mechanism played a critical role in inhibiting neural cell apoptosis and preventing tau hyperphosphorylation. Moreover, allocryptopine demonstrated its ability to regulate the G1/S cell cycle progression, leading to cell cycle arrest in the G1 phase, and facilitating cellular repair mechanisms, potentially contributing to the suppression of neural apoptosis. The in silico results of allocryptopine were shown to docking with the cyclin-dependent kinase 5 (CDK 5) playing a role in tau phosphorylation Akt and GSK-3β from target proteins. Therefore, the in silico study results supported the in vitro results. The results showed that allocryptopine can protect dPC12 cells from oxidative stress-induced apoptosis and hyperphosphorylation of the tau protein by regulating the Akt/GSK-3β signaling pathway. Based on these findings, it can be suggested that allocryptopine, with its ability to target biomarkers and its significant effects on AD-associated mechanisms, holds promise as a potential candidate for drug development in the treatment of AD. Further research and clinical trials are recommended in the future.

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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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