Nair Anju C, Benny Sonu, Aneesh T P, Sudheesh M S, Lakshmi P K
Department of Pharmacology, Amrita School of Pharmacy, Amrita Health Science Campus, Amrita Vishwa Vidyapeetham, Kochi, Kerala, 682041, India.
Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Health Science Campus, Amrita Vishwa Vidyapeetham, Kochi, Kerala, 682041, India.
J Ethnopharmacol. 2025 Feb 10;338(Pt 1):119024. doi: 10.1016/j.jep.2024.119024. Epub 2024 Nov 1.
Multi-targeted drug therapy has received substantial attention for the treatment of diseases of multifactorial origin, such as neurodegenerative diseases. Manasamitra vatakam (MMV) is a traditional Ayurvedic formulation used to improve cognitive impairment and mental illness. Here we have used a unique method for leveraging the barrier properties of the intestinal and blood-brain barrier (BBB) to screen and identify the bioactive molecules against Alzheimer's disease (AD). The current method exemplifies a facile method to expedite drug discovery from traditional formulations.
The present study aimed to identify the phytoconstituents of MMV that reach the brain tissue and to predict major bioactive constituents by computational docking studies.
After oral administration of the formulation, brain samples from male Sprague Dawley rats were collected at different time intervals and analyzed by liquid chromatography-mass spectrometry (LC-MS) to identify the phytoconstituents. In silico molecular docking studies were carried out to analyze the binding affinity of the compounds to the target proteins of AD using Schrodinger Maestro. The molecular dynamic studies were carried out for all the docked complexes having higher docking scores.
34 phytoconstituents were identified by LC-MS analysis of brain homogenates. In the in silico docking study, the phytoconstituents chrysin, convolvin, rutin, galangin, palmatoside G, isoliquiritigenin, quercetin, and naringenin showed higher docking score against the target proteins of AD. These compounds may serve as the primary bioactive compounds responsible for the neuroprotective activity of the herbal formulation. Furthermore, molecular dynamic studies indicated that the galangin-acetylcholinesterase enzyme complex has the highest stability among these eight compounds.
The study, together with previous in vivo and in vitro efficacy results, suggests that BBB-permeable compounds with high binding affinities for the target proteins of AD might be responsible for the effectiveness of MMV against AD.
多靶点药物疗法在治疗多因素起源的疾病(如神经退行性疾病)方面受到了广泛关注。马纳萨米特拉瓦塔卡姆(MMV)是一种传统的阿育吠陀配方,用于改善认知障碍和精神疾病。在这里,我们采用了一种独特的方法,利用肠道和血脑屏障(BBB)的屏障特性来筛选和鉴定针对阿尔茨海默病(AD)的生物活性分子。目前的方法是一种从传统配方中加速药物发现的简便方法。
本研究旨在确定到达脑组织的MMV植物成分,并通过计算对接研究预测主要生物活性成分。
在口服该配方后,在不同时间间隔收集雄性Sprague Dawley大鼠的脑样本,并通过液相色谱 - 质谱联用(LC-MS)进行分析,以鉴定植物成分。使用薛定谔大师软件进行计算机模拟分子对接研究,以分析化合物与AD靶蛋白的结合亲和力。对所有对接分数较高的对接复合物进行分子动力学研究。
通过对脑匀浆的LC-MS分析鉴定出34种植物成分。在计算机模拟对接研究中,白杨素、卷积素、芦丁、高良姜姜、棕榈苷G、异甘草素、槲皮素和柚皮苷等植物成分对AD靶蛋白显示出较高的对接分数。这些化合物可能是负责该草药配方神经保护活性的主要生物活性化合物。此外,分子动力学研究表明,高良姜素 - 乙酰胆碱酯酶复合物在这八种化合物中具有最高的稳定性。
该研究与先前的体内和体外疗效结果一起表明,对AD靶蛋白具有高结合亲和力的BBB可渗透化合物可能是MMV对AD有效性的原因。