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从网络药理学角度探讨印度阿育吠陀药用植物抗病毒类似物在治疗 COVID-19 及相关代谢性合并症中的多尺度作用机制。

Multi-scale mechanism of antiviral drug-alike phytoligands from Ayurveda in managing COVID-19 and associated metabolic comorbidities: insights from network pharmacology.

机构信息

Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, Dharamshala, 176206, India.

出版信息

Mol Divers. 2022 Oct;26(5):2575-2594. doi: 10.1007/s11030-021-10352-x. Epub 2022 Jan 7.

Abstract

The novel coronavirus disease (COVID-19), which emerged in Wuhan, China, is continuously spreading worldwide, creating a huge burden on public health and economy. Ayurveda, the oldest healing schema of Traditional Indian Medicinal (TIM) system, is considered as a promising CAM therapy to combat various diseases/ disorders. To explore the regulatory mechanisms of 3038 Ayurvedic herbs (AHs) against SARS-CoV-2, in this study, multi-targeting and synergistic actions of constituent 34,472 phytochemicals (APCs) are investigated using a comprehensive approach comprising of network pharmacology and molecular docking. Immunomodulatory prospects of antiviral drug-alike potentially effective phytochemicals (PEPs) are presented as a special case study, highlighting the importance of 6 AHs in eliciting the antiviral immunity. By evaluating binding affinity of 292 PEPs against 24 SARS-CoV-2 proteins, we develop and analyze a high-confidence "bi-regulatory network" of 115 PEPs having ability to regulate protein targets in both virus and its host human system. Furthermore, mechanistic actions of PEPs against cardiovascular complications, diabetes mellitus and hypertension are also investigated to address the regulatory potential of AHs in dealing with COVID-19-associated metabolic comorbidities. The study further reports 12 PEPs as promising source of COVID-19 comorbidity regulators.

摘要

新型冠状病毒病(COVID-19)在中国武汉出现后,持续在全球范围内传播,给公共卫生和经济带来了巨大负担。阿育吠陀是印度传统医学(TIM)系统中最古老的治疗体系,被认为是对抗各种疾病/障碍的一种有前途的补充和替代医学(CAM)疗法。为了探索 3038 种阿育吠陀草药(AHs)对 SARS-CoV-2 的调节机制,在本研究中,使用包括网络药理学和分子对接在内的综合方法,研究了组成 34472 种植物化学物质(APCs)的多靶点和协同作用。作为一个特例研究,提出了抗病毒药物样有潜在作用的植物化学物质(PEPs)的免疫调节前景,强调了 6 种 AHs 在引发抗病毒免疫方面的重要性。通过评估 292 种 PEPs 对 24 种 SARS-CoV-2 蛋白的结合亲和力,我们开发并分析了一个由 115 种具有既能调节病毒又能调节其宿主人类系统蛋白靶标的能力的 PEPs 组成的高可信度“双调节网络”。此外,还研究了 PEPs 对心血管并发症、糖尿病和高血压的作用机制,以解决 AHs 在处理 COVID-19 相关代谢合并症方面的调节潜力。该研究进一步报告了 12 种 PEPs 作为 COVID-19 合并症调节剂的有前途的来源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8da9/8736312/962f26f8e7d7/11030_2021_10352_Fig1_HTML.jpg

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