榄香烯醇提取物作为替代性利尿疗法:基于计算的研究

Tapan Kumar Sahu, Nityananda Sahoo, G. Pattnaik, H. B. Samal, A. Behera, B. Kar
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引用次数: 0

摘要

目前临床上广泛使用利尿剂来增加尿量和排泄电解质,尤其是钠离子和氯离子,同时不影响蛋白质、维生素、碳水化合物或氨基酸的吸收。从古代的氯化汞和有机汞到现在的磺胺类药物、噻嗪类药物和呋塞米,利尿剂领域发生了很大变化。然而,在临床实践中长期使用这类合成利尿剂会产生一些不良反应,如视力模糊、食欲不振、胃部不适、癌变、头痛、光毒性影响、虚弱等,最近的研究也观察到了这一点。自然疗法可以作为使用无毒利尿剂的潜在替代品。根据长期的民族药用和生物活性记录,我们在计算平台上探索了太平洋岛屿地区广为人知的多年生草本植物和农田杂草 Eleusine indica (L) Gaertn 植物成分的利尿作用。因此,我们使用乙醇进行了生物测定指导下的粗提取,然后对提取的粗提取物进行了进一步的气相色谱-质谱(GC-MS)分析。通过使用 AutoDock 4.2 软件进行分子对接研究,进一步选择了九种成分(EI_1 至 EI_9)对三种假定靶酶(ACE、KCNJ1 和 SLC12A1)和三种标准药物(VU590、TSM 和 FSM)进行利尿作用。我们还利用各种生物信息学和化学信息学工具预测了理化概况或利平斯基五则概况、毒性和药代动力学。根据总体调查,发现 EI_6 [Z,Z-6,28-庚三蒽-2-酮] 是最有潜力、无毒且可入药的候选化合物。总之,先进的计算工具在利用有限的资源选择潜在的临床前候选药物方面发挥了至关重要的作用,从而加快了当前的药物发现过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alcoholic Extracts of Eleusine indica as Alternative Diuretic Regimens: A Computational Based Investigation
Diuretics are widely used in current clinical practice to increase urine production and excrete electrolytes, particularly sodium and chloride ions, without affecting the absorption of protein, vitamins, carbohydrates, or amino acids. From the time of mercury chloride and organomercurials in ancient times to now (with sulphonamides, thiazides, and furosemide), a lot has changed in the field of diuretics. However, long-term use of such synthetic diuretic agents in clinical practice produces several adverse effects, such as blurred vision, loss of appetite, stomach upset, carcinomas, headaches, phototoxic impact, weakness., etc., as has been observed from recent investigations. Natural regimens can serve as potential alternatives to using nontoxic diuretic agents. Based on long-term ethnomedicinal and biological activity records, we have explored the diuretic effects of the widely known perennial herb in Pacific Islands regions and a weed in agricultural fields, Eleusine indica (L) Gaertn phytoconstituents, on a computation platform. Therefore, we conducted a bio-assay-guided crude extraction using ethanol, followed by further gas chromatography-mass spectrometry (GC-MS) analyses of the extracted crude extracts. Further selected nine constituents (EI_1 to EI_9) carried out the diuretic potency against three putative target enzymes (ACE, KCNJ1, and SLC12A1) along with three standard drugs (VU590, TSM, and FSM) through molecular docking studies using AutoDock 4.2 software. We also predict physicochemical profiles, or Lipinski Rule of Five profiles, toxicity, and pharmacokinetics using various bioinformatics and cheminformatics tools. Based on the overall investigation, it was revealed that EI_6 [Z, Z-6,28-Heptatriacontadien-2-one] was the most potential, nontoxic, and drug-able candidate. In summary, advanced computational tools play a crucial role in selecting potential preclinical candidates within limited resources to accelerate the current drug discovery process.
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