薄层色谱-生物自签名-质谱联用技术鉴定枸杞水醇提取物乙酸乙酯部位的抗胆碱酯酶活性物质及其硅分子方法的验证。

Monalisha Samal, Aslam Siddiqui, Mohammad Irfan Dar, Varsha Srivastava, Muzayyana Khan, Rabea Parveen, Shahid Hussain Ansari, Sayeed Ahmad
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引用次数: 0

摘要

背景:传统配方在世界各地被广泛使用,因为它们能全面促进健康和保健,并尽可能减少不良影响。Itrifal Sana 是一种传统的伊那尼多草药配方,这种独特的组合使其具有协同增效作用,能够为健康和福祉带来双重益处。尽管该配方经常被使用,但没有科学证据支持其治疗效果:本研究旨在通过 TLC-生物自动层析-质谱(TLC-bioautography-MS)技术检测和鉴定乙酰胆碱酯酶抑制活性的生物活性物质,并采用硅学分子方法对其进行验证:采用宏观显微镜和粉末显微镜对制剂进行鉴定。采用 UPLC-MS 指纹分析法进行质量控制。采用 TLC-生物自动层析-MS 方法检测乙酰胆碱酯酶抑制活性的生物活性物质,并采用硅学方法对检测结果进行验证:结果:TLC-MS 生物自动层析显示,迷迭香酸、山柰酚和芹菜素是潜在的生物活性抗胆碱酯酶代谢物。超高效液相色谱-质谱(UPLC-MS)分析表明,在配方的最佳活性组分中分离出了 48 种植物化合物。对鉴定出的代谢物进行的硅学分析表明,10 种鉴定出的代谢物具有乙酰胆碱酯酶抑制活性,此外,迷迭香酸和龙柏素显示出最佳的潜在活性:我们的研究结果表明,首次研究的 Itrifal Sana 在治疗乙酰胆碱酯酶抑制引起的注意力缺失症方面具有巨大潜力。然而,仍需通过体外细胞系研究、体内研究、药代动力学研究和毒性研究对其全部功效进行进一步研究:亮点:TLC-生物自动层析-MS 和硅学分子方法在鉴定和验证 IS 中的生物活性成分方面比传统方法更有效、更准确、更可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of anticholinesterase active compounds from ethylacetate fraction of hydroalcoholic extract of Itrifal Sana using TLC-bioautography-MS and its validation using in silico molecular approach.

Background: Traditional formulations are used extensively throughout the world due to their holistic approach to health and wellness with the fewest possible adverse effects. Itrifal Sana is a traditional unani polyherbal formulation, a unique combination that makes it synergistically potent, capable of providing dual benefits for health and well-being. Even though the formulation is frequently utilised, there is no scientific evidence to support its therapeutic efficiency.

Objective: The present study was designed to detect and identify bioactives responsible for acetylcholinesterase inhibitory activity by TLC-bioautography-MS and its validation using an in silico molecular approach.

Methods: Authentication of the formulation was done using macroscopy and powder microscopy. Quality control was done using UPLC-MS fingerprint analysis. TLC-bioautography-MS was done to detect the bioactives responsible for acetylcholinesterase inhibitory activity and the findings were validated using in-silico approach.

Results: The TLC-MS bioautography revealed the presence of rosmarinic acid, kaempferol, and apigenin as potential bioactive anticholinesterase metabolites. UPLC-MS analysis demonstrated the separation of 48 phytocompounds in the best active fraction of formulation. In silico analysis of identified metabolites showed acetylcholinesterase inhibitory activity of ten identified metabolites, moreover, rosmarinic acid and lobeline showed the best potential activity.

Conclusions: Our findings indicated that Itrifal Sana, which was investigated for the first time, has an enormous potential for managing AD caused by acetylcholinesterase enzyme inhibition. It was derived through successfully attempted TLC-bioautography-MS and in silico approach; however, further research on their full efficacy using in vitro cell line studies, in vivo studies, pharmacokinetics studies, and toxicity studies is still needed.

Highlights: TLC-bioautography-MS and in silico molecular approach offer much more effective, accurate, and reliable results than the conventional methods in the identification and validation of bioactive components from IS, a polyherbal formulation helps to advance the development of natural product-based therapeutics for cholinesterase dysfunctional diseases.

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