A rapid RP-HPLC method for the simultaneous estimation of Ivacaftor and Tezacaftor and in silico study of their metabolitic products

Author:

Donakonda MadhuriORCID,Indrakanti Srija,Pasala Praveen Kumar,Desari Malleswari,Kammari Shireesha

Abstract

Abstract Background This study was designed to develop a reliable method for estimation of Ivacaftor and Tezacaftor in pure and its pharmaceutical dosage form by RP-HPLC in human plasma. Molecular docking studies were carried out and the results were visualized using PyMol and Discovery studio visualizer (Discovery studio visualizer ver. 2.5). The pharmacokinetic properties such as Swiss ADME and pKCSM of the Ivacaftor and its metabolites Ivacaftor M1, M6 and Tezacaftor and metabolites Tezacaftor M1, M2 were predicted. In admetSAR, web-based query tools incorporating a molecular built-in interface enable the database to be queried by SMILES. Results A simple, linear, precise, and accurate RP-HPLC method was developed and validated for the determination of Ivacaftor (IVA) and Tezacaftor (TEZ) in human plasma. Chromatographic separation was achieved isocratically on Inspire C18, (4.6 × 250 mm, 5 μm) column at 30 °C. Mobile phase consisting of methanol and 0.05% formic acid in ratio of 95:5 with flow rate of 1 mL/min with injection volume 20 μl detector used is PDA at 235 nm. The developed method was validated according to ICH guidelines and found to be linearity range was found to be for TEZ (10–50 μg/mL) and IVA (15–75 μg/mL). IVA and TEZ drugs and its metabolites were retrieved from the PubChem database and the 2D chemical structures were generated from SMILES notation by using the Chemsketch Software. The structure was viewed using Swiss-PDB Viewer to form a better understanding of the molecule for toxicity and biological activity prediction. Conclusion The results obtained by the proposed method from validation parameters and from assay confirmed that the determination of Tezacaftor (TEZ) and Ivacaftor (IVA) in their combined dosage form in human plasma was sensitive and selective method. In silico study has revealed that IVA and its metabolites IVA M1, IVA M6 are according to Lipinski rule. The oral bioactivity of IVA was found to be more when compared to its metabolites (Molinspiration) and TEZ and its metabolites TEZ M1, TEZ M2 even though they have the molecular weight > 500, but all other parameters from Molinspiration revealed better oral bioactivity of TEZ M2. Validation of the developed isocratic RP-HPLC procedure revealed that, regardless of how the sample was purified, the method was characterized by good linearity, sensitivity, reproducibility, specificity, and low values of LOD (0.090 μg/mL) and LOQ (0.275 μg/mL). From the in silico docking results, it is quite evident that metabolites of TEZ and IVA have the great potential against cystic fibrosis.

Publisher

Springer Science and Business Media LLC

Reference25 articles.

1. Compound summary of Ivacaftor https://pubchem.ncbi.nlm.nih.gov/compound/16220172.

2. Rahan JW, Elizabethmatthes G, Ythomas D (2017) Corrector combination therapies for F508del-CFTR. Curr Opin Pharmacol 342017:105–111

3. Compound summary of Tezacaftor https://pubchem.ncbi.nlm.nih.gov/compound/46199646

4. Kiranjyothi R, Balakrishnan M, Chandrasekhar KB (2018) Method development and validation for the stability indicating simultaneous estimation of Tezacaftorand Ivacaftor in bulk and its dosage forms. Int J Pharmaceut Res 10(4):198–208. 4

5. Sravanthi B, Divya M (2016) Analytical method development and validation of ivacaftor and lumacaftor by RP-HPLC method. Indo Am J Pharmaceut Sci 3(8):900–904

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3