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      Hydroxychloroquine Attenuates hERG Channel by Promoting the Membrane Channel Degradation: Computational Simulation and Experimental Evidence for QT-Interval Prolongation with Hydroxychloroquine Treatment

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          Abstract

          Introduction: The coronavirus disease 2019 (COVID-19) pandemic has led to millions of confirmed cases and deaths worldwide and has no approved therapy. Currently, more than 700 drugs are tested in the COVID-19 clinical trials, and full evaluation of their cardiotoxicity risks is in high demand. Methods: We mainly focused on hydroxychloroquine (HCQ), one of the most concerned drugs for COVID-19 therapy, and investigated the effects and underlying mechanisms of HCQ on hERG channel via molecular docking simulations. We further applied the HEK293 cell line stably expressing hERG-wild-type channel ( hERG-HEK) and HEK293 cells transiently expressing hERG-p.Y652A or hERG-p.F656A mutants to validate our predictions. Western blot analysis was used to determine the hERG channel, and the whole-cell patch clamp was utilized to record hERG current ( I<sub>hERG</sub>). Results: HCQ reduced the mature hERG protein in a time- and concentration-dependent manner. Correspondingly, chronic and acute treatment of HCQ decreased the hERG current. Treatment with brefeldin A (BFA) and HCQ combination reduced hERG protein to a greater extent than BFA alone. Moreover, disruption of the typical hERG binding site ( hERG-p.Y652A or hERG-p.F656A) rescued HCQ-mediated hERG protein and I<sub>hERG</sub> reduction. Conclusion: HCQ can reduce the mature hERG channel expression and I<sub>hERG</sub> via enhancing channel degradation. The QT prolongation effect of HCQ is mediated by typical hERG binding sites involving residues Tyr652 and Phe656.

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          Author and article information

          Journal
          CRD
          Cardiology
          10.1159/issn.0008-6312
          Cardiology
          Cardiology
          S. Karger AG
          0008-6312
          1421-9751
          2023
          August 2023
          22 May 2023
          : 148
          : 4
          : 310-323
          Affiliations
          [_a] aDepartment of Cardiovascular Medicine, Shaanxi Provincial People’s Hospital, Xi’an, China
          [_b] bDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
          [_c] cDivision of Data Intelligence, Department of Computer Science, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, College of Engineering, Shantou University, Shantou, China
          [_d] dDepartment of General Practice, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
          Author information
          https://orcid.org/0000-0002-5548-5450
          https://orcid.org/0000-0002-6390-7967
          Article
          531132 Cardiology 2023;148:310–323
          10.1159/000531132
          37231805
          ad20507c-00c4-4b11-bb9f-14cbb13ae627
          © 2023 S. Karger AG, Basel

          Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.

          History
          : 23 November 2022
          : 11 May 2023
          Page count
          Figures: 7, Pages: 14
          Funding
          This study was funded by the National Natural Science Foundation of China (No. 81903912, 81570672, 81670307); Xiqiang Wang was supported by Technology Talents Support Program of Shaanxi Provincial People’s Hospital (2021JY-06, 2022YJY-39), the Natural Science Basic Research Program of Shaanxi Province (2022JQ-855), the Basic Scientific Research Operating Expenses of Xi’an Jiaotong University (xzy012022131), and China Postdoctoral Science Foundation (2022M722576); Yanpeng Ma was supported by Technology Talents Support Program of Shaanxi Provincial People’s Hospital (2022JY-52); Qianwei Cui was supported by Natural Science Basic Research Program of Shaanxi Province (2021JQ-911); Yujie Xing was supported by Technology Talents Support Program of Shaanxi Provincial People’s Hospital (2021JY-18), Science and technology Incubation Fund of Shaanxi Provincial People’s Hospital (2022b004), Health scientific Research project of Shaanxi Province (2021YJY-08), and Basic scientific research Operating expenses of Xi’an Jiaotong University (xzy012019119); and Chuipu Cai was supported by Guangdong Basic and Applied Basic Research Foundation General Program (2023A1515012148), and the STU Scientific Research Foundation for Talents (No. NTF21034).
          Categories
          Electrophysiology and Arrhythmia: Research Article

          Medicine
          Molecular docking,Hydroxychloroquine,QT prolongation, hERG channel,Deep learning
          Medicine
          Molecular docking, Hydroxychloroquine, QT prolongation, hERG channel, Deep learning

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