Effects of Hydroxychloroquine and Azithromycin on iPSC-derived Cardiomyocytes: Considerations for the Treatment of COVID-19 Patients

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Abstract

Despite known adverse effects of hydroxychloroquine (HCQ) and azithromycin (AZM) on cardiac function, HCQ and AZM have been used as combination therapy in the treatment of COVID-19 patients. Recent clinical data indicate higher complication rates with HCQ/AZM combination treatment in comparison to monotherapy. Here, we used human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) to systematically investigate the effects of HCQ and AZM individually and in combination. The clinically observed QT prolongation caused by treatment with HCQ could be recapitulated in iPSC-CMs based on prolonged field potential duration (FPDc). Interestingly, HCQ-induced FPDc prolongation was strongly enhanced by combined treatment with AZM, although AZM alone slightly shortened FPDc in iPSC-CMs. Furthermore, combined treatment with AZM and HCQ leads to higher cardiotoxicity, more severe structural disarrangement, and more pronounced contractile and electrophysiological dysfunctions, compared to respective mono-treatments. First mechanistic insights underlying the synergistic effects of AZM and HCQ on iPSC-CM functionality are provided based on increased Cx43- and Nav1.5-protein levels. Taken together, our results highlight that combined treatment with HCQ and AZM strongly enhances the adverse effects on cardiomyocytes, providing mechanistic evidence for the high mortality in patients receiving HCQ/AZM combination treatment.

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  1. SciScore for 10.1101/2021.08.19.456950: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: The iPSC generation was approved by the Ethics Committee of the University Medical Center Göttingen (approval number: 21/1/11 and 10/9/15) and used following the approval guidelines.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    For staining, cells were incubated with the following primary antibodies: anti-α-actinin, clone EA-53 (1:500; mouse monoclonal, IgG1, Sigma-Aldrich, 7811), anti-Nav1.5 (1:200; rabbit polyclonal, Alomone Labs, ASC-005), and anti-Cx43, clone 2
    anti-α-actinin
    suggested: None
    IgG1
    suggested: (R and D Systems Cat# BAM7811, RRID:AB_10639875)
    Afterward, cells were washed three times with PBS and incubated with the corresponding secondary antibodies (1:1000; anti-rabbit Alexa Fluor 488, Invitrogen,
    anti-rabbit
    suggested: None
    Membranes were blocked in 5% milk in TBS-T for 30-45 min at room temperature and probed with anti-Cx43, clone 4E6.2 (1:1000; mouse monoclonal, Merck, MAB3067), anti-Nav1.5 (1:200; rabbit polyclonal, Alomone Labs, ASC-005), or anti-EEF2 (1:5000; rabbit polyclonal, Abcam, ab40812) at 4°C overnight, followed by incubation with horseradish peroxidase-conjugated secondary antibodies goat anti-mouse (1:10,000; Sigma Aldrich, A2304) or goat anti-rabbit (1:10,000; Cell Signaling, 7074S), respectively, for 1 hour at room temperature.
    anti-Cx43
    suggested: (SICGEN Cat# AB0015-200, RRID:AB_2333132)
    anti-Nav1.5
    suggested: (Alomone Labs Cat# ASC-005, RRID:AB_2040001)
    anti-EEF2
    suggested: (Abcam Cat# ab40812, RRID:AB_732082)
    horseradish peroxidase-conjugated secondary antibodies goat anti-mouse ( 1:10,000; Sigma Aldrich , A2304 )
    suggested: None
    anti-mouse
    suggested: (Sigma-Aldrich Cat# A2304, RRID:AB_257993)
    goat anti-rabbit
    suggested: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
    Software and Algorithms
    SentencesResources
    Sarcomere-length was determined manually using FIJI as described previously22.
    FIJI
    suggested: (Fiji, RRID:SCR_002285)
    Several key parameters including conduction velocity (CV), corrected FPDC (corrected by Fridericia’s formula) and inter-beat interval were determined using AxIS Navigator, and further analyzed with AxIS Metric Plotting Tool (Axion BioSystems).
    AxIS
    suggested: (AxIS , RRID:SCR_016308)
    Densitometry analyses of the immunoblots were performed using ImageJ software and the intensity of individual bands was normalized to EEF2.
    ImageJ
    suggested: (ImageJ, RRID:SCR_003070)
    Statistical analysis was performed with GraphPad Prism 9.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Study limitations: Aiming to gain mechanistic insights for the increased rates of cardiac complications observed for the combined treatment with AZM and HCQ, we characterized the consequences of the two drugs as well as their combination on the viability, structure and functionality of iPSC-CMs. Despite iPSC-CMs represent an important model system to study drug effects on the human heart, different aspects, including the immaturity of the cells and the lack of the multicellular environment limit, the predictive value of our findings. Furthermore, modeling the situation in patients with severe COVID-19 may require infection of iPSC-CMs with SARS-CoV-2 before drug treatment to model structural and functional abnormalities, which will make the execution of the study technically challenging.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.