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Hydroxychloroquine induces long QT syndrome by blocking hERG channel
Xin Zhao, Lihua Sun, Chao Chen, Jieru Xin, Yan Zhang, Yunlong Bai, Zhenwei Pan, Yong Zhang, Baoxin Li, Yanjie Lv, Baofeng Yang
2023, 3(2): 105-113. doi: 10.2478/fzm-2023-0014
Keywords: COVID-19, hydroxychloroquine, LQT, hERG, Hsp90
  Objective  In March 2022, more than 600 million cases of Corona Virus Disease 2019 (COVID-19) and about 6 million deaths have been reported worldwide. Unfortunately, while effective antiviral therapy has not yet been available, chloroquine (CQ)/hydroxychloroquine (HCQ) has been considered an option for the treatment of COVID-19. While many studies have demonstrated the potential of HCQ to decrease viral load and rescue patients' lives, controversial results have also been reported. One concern associated with HCQ in its clinical application to COVID-19 patients is the potential of causing long QT interval (LQT), an electrophysiological substrate for the induction of lethal ventricular tachyarrhythmias. Yet, the mechanisms for this cardiotoxicity of HCQ remained incompletely understood.  Materials and methods  Adult New Zealand white rabbits were used for investigating the effects of HCQ on cardiac electrophysiology and expression of ion channel genes. HEK-293T cells with sustained overexpression of human-ether-a-go-go-related gene (hERG) K+ channels were used for whole-cell patch-clamp recordings of hERG K+ channel current (IhERG). Quantitative RT-PCR analysis and Western blot analysis were employed to determine the expression of various genes at mRNA and protein levels, respectively.  Results  electrocardiogram (ECG) recordings revealed that HCQ prolonged QT and RR intervals and slowed heart rate in rabbits. Whole-cell patch-clamp results showed that HCQ inhibited the tail current of hERG channels and slowed the reactivation process from inactivation state. HCQ suppressed the expression of hERG and hindered the formation of the heat shock protein 90 (Hsp90)/hERG complex. Moreover, the expression levels of connexin 43 (CX43) and Kir2.1, the critical molecular/ionic determinants of cardiac conduction thereby ventricular arrythmias, were decreased by HCQ, while those of Cav1.2, the main Ca2+ handling proteins, remained unchanged and SERCA2a was increased.  Conclusion  HCQ could induce LQT but did not induce arrhythmias, and whether it is suitable for the treatment of COVID-19 requires more rigorous investigations and validations in the future.
Circulating CCRR serves as potential novel biomarker for predicting acute myocardial infarction
Lina Xuan, Huishan Luo, Shu Wang, Guangze Wang, Xingmei Yang, Jun Chen, Jianjun Guo, Xiaomeng Duan, Xiufang Li, Hua Yang, Shengjie Wang, Hailong Zhang, Qingqing Zhang, Shulei Liu, Yongtao She, Kai Kang, Lihua Sun
2024, 4(3): 137-151. doi: 10.1515/fzm-2024-0015
Keywords: acute myocardial infarction, lncRNA, cardiac conduction regulatory RNA, exosome
  Objective   Cold regions exhibit a high prevalence of cardiovascular disease, particularly acute myocardial infarction (AMI), which is one of the leading causes of death associated with cardiovascular conditions. Cardiovascular disease is closely linked to the abnormal expression of long non-coding RNA (lncRNA). This study investigates whether circulating levels of lncRNA cardiac conduction regulatory RNA (CCRR) could serve as a biomarker for AMI.   Materials and methods   We measured circulating CCRR from whole blood samples collected from 68 AMI patients and 69 non-AMI subjects. An AMI model was established using C57BL/6 mice. Quantitative reverse transcription PCR (qRT-PCR) was used to assess CCRR expression. Exosomes were isolated from cardiomyocytes, and their characteristics were evaluated using electron microscope and nanoparticle tracking analysis. The exosome inhibitor GW4869 was employed to examine the effect of exosomal CCRR on cardiac function using echocardiography. Protein expression was detected using Western blot and immunofluorescence staining.   Results   The circulating level of CCRR was significantly higher in AMI patients (1.93 ± 0.13) than in nonAMI subjects (1.00 ± 0.05, P < 0.001). The area under the ROC curve (AUC) of circulating CCRR was 0.821. Similar changes in circulating CCRR levels were consistently observed in an AMI mouse model. Exosomal CCRR derived from hypoxia-induced cardiomyocytes and cardiac tissue after AMI were increased, a change that was reversed by GW4869. Additionally, CCRR-overexpressing exosomes improved cardiac function in AMI.   Conclusion   Circulating lncRNA CCRR is a potential predictor of AMI. Exosomal CCRR plays a role in the communication between the heart and other organs through circulation.