Pharmacological Study of A3 Adenosine Receptor agonist (AB Meca) in Xenograft Lung Cancer Model in Mice through In Silico and In Vivo Approach: Targeting TNF-α.

Q3 Pharmacology, Toxicology and Pharmaceutics
Nilay Solanki, Leena Patel, Shaini Shah, Ashish Patel, Swayamprakash Patel, Mehul Patel, Umang Shah
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Abstract

Background: Lung cancer is the leading cause of mortality in India. Adenosine Receptor (AR) has emerged as a novel cancer-specific target. A3AR levels are upregulated in various tumor cells, which may mean that the specific AR may act as a biological marker and target specific ligands leading to cell growth inhibition.

Aim: Our aim was to study the efficacy of the adenosine receptor agonist, AB MECA, by in silico (molecular docking) and in vitro (human cancer cells in xenografted mice) studies.

Methods: Molecular docking on the AB-meca and TNF-α was performed using AutoDock. A549 Human lung cancer 2 ×106 cells per microliter per mouse injected via intrabronchial route. Rat TNF-α level was assessed by ELISA method.

Results: AB Meca's predicted binding energy (beng) with TNF-α was 97.13 kcal/mol, and the compatible docking result of a small molecular inhibitor with TNF-α native ligand beng was 85.76 kcal/mol. In vivo, a single dose of lung cancer cell A549 is being researched to potentiate tumor development. Doxorubicin and A3AR agonist therapies have lowered TNF-alpha levels that were associated with in silico function. The A3AR Agonist showed myeloprotective effects in the groups treated along with doxorubicin.

Conclusion: AB MECA's higher binding energy (beng) with TNF-α mediated reduction of tumor growth in our lung cancer in vivo model suggested that it may be an effective therapy for lung cancer.

A3腺苷受体激动剂(AB Meca)在小鼠异种移植肺癌模型中的体外和体外药理研究:靶向TNF-α。
背景:肺癌是印度死亡的主要原因。腺苷受体(Adenosine Receptor, AR)已成为一种新的癌症特异性靶点。A3AR水平在多种肿瘤细胞中上调,这可能意味着特异性AR可能作为生物标记物和靶向特异性配体,导致细胞生长抑制。目的:我们的目的是研究腺苷受体激动剂AB MECA的有效性,通过硅(分子对接)和体外(人类癌细胞在异种移植小鼠)的研究。方法:利用AutoDock对AB-meca和TNF-α进行分子对接。A549人肺癌2 ×106细胞每微升每只小鼠经支气管注射。ELISA法检测大鼠TNF-α水平。结果:AB Meca与TNF-α的预测结合能(beng)为97.13 kcal/mol,小分子抑制剂与TNF-α天然配体beng的相容对接结果为85.76 kcal/mol。在体内,正在研究单剂量的肺癌细胞A549以促进肿瘤的发展。阿霉素和A3AR激动剂治疗降低了与脑功能相关的tnf - α水平。A3AR激动剂在与阿霉素一起治疗的组中显示出骨髓保护作用。结论:AB - MECA具有较高的结合能(beng),与TNF-α介导的肺癌体内模型中肿瘤生长的抑制作用,提示AB - MECA可能是一种治疗肺癌的有效药物。
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来源期刊
Current drug discovery technologies
Current drug discovery technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
3.70
自引率
0.00%
发文量
48
期刊介绍: Due to the plethora of new approaches being used in modern drug discovery by the pharmaceutical industry, Current Drug Discovery Technologies has been established to provide comprehensive overviews of all the major modern techniques and technologies used in drug design and discovery. The journal is the forum for publishing both original research papers and reviews describing novel approaches and cutting edge technologies used in all stages of drug discovery. The journal addresses the multidimensional challenges of drug discovery science including integration issues of the drug discovery process.
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