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PLOS ONE logoLink to PLOS ONE
. 2020 Nov 6;15(11):e0241362. doi: 10.1371/journal.pone.0241362

Mechanisms of QT prolongation by buprenorphine cannot be explained by direct hERG channel block

Phu N Tran 1,2, Jiansong Sheng 1,3, Aaron L Randolph 1, Claudia Alvarez Baron 1, Nicolas Thiebaud 1,4, Ming Ren 1, Min Wu 1,2, Lars Johannesen 5, Donna A Volpe 1, Dakshesh Patel 6,7, Ksenia Blinova 6, David G Strauss 1, Wendy W Wu 1,*
Editor: Daniel M Johnson8
PMCID: PMC7647070  PMID: 33157550

Abstract

Buprenorphine is a μ-opioid receptor (MOR) partial agonist used to manage pain and addiction. QTC prolongation that crosses the 10 msec threshold of regulatory concern was observed at a supratherapeutic dose in two thorough QT studies for the transdermal buprenorphine product BUTRANS®. Because QTC prolongation can be associated with Torsades de Pointes (TdP), a rare but potentially fatal ventricular arrhythmia, these results have led to further investigation of the electrophysiological effects of buprenorphine. Drug-induced QTC prolongation and TdP are most commonly caused by acute inhibition of hERG current (IhERG) that contribute to the repolarizing phase of the ventricular action potentials (APs). Concomitant inhibition of inward late Na+ (INaL) and/or L-type Ca2+ (ICaL) current can offer some protection against proarrhythmia. Therefore, we characterized the effects of buprenorphine and its major metabolite norbuprenorphine on cardiac hERG, Ca2+, and Na+ ion channels, as well as cardiac APs. For comparison, methadone, a MOR agonist associated with QTC prolongation and high TdP risk, and naltrexone and naloxone, two opioid receptor antagonists, were also studied. Whole cell recordings were performed at 37°C on cells stably expressing hERG, CaV1.2, and NaV1.5 proteins. Microelectrode array (MEA) recordings were made on human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). The results showed that buprenorphine, norbuprenorphine, naltrexone, and naloxone had no effect on IhERG, ICaL, INaL, and peak Na+ current (INaP) at clinically relevant concentrations. In contrast, methadone inhibited IhERG, ICaL, and INaL. Experiments on iPSC-CMs showed a lack of effect for buprenorphine, norbuprenorphine, naltrexone, and naloxone, and delayed repolarization for methadone at clinically relevant concentrations. The mechanism of QTC prolongation is opioid moiety-specific. This remains undefined for buprenorphine, while for methadone it involves direct hERG channel block. There is no evidence that buprenorphine use is associated with TdP. Whether this lack of TdP risk can be generalized to other drugs with QTC prolongation not mediated by acute hERG channel block warrants further study.

Introduction

Buprenorphine is a μ-opioid receptor (MOR) partial agonist used to manage opioid use disorder and pain severe enough to warrant use of opioid analgesics. In healthy volunteers, multi-day exposure to a transdermal formulation BUTRANS® has been linked with dose-dependent QTC prolongation that reaches the threshold of regulatory concern (10 ms) for the supratherapeutic dose [1]. This effect was not observed when buprenorphine was co-administered with naltrexone, an opioid receptor antagonist. Because there are buprenorphine products that achieve higher systemic exposure levels at recommended doses than the supratherapeutic dose in the BUTRANS® study, and because QTC prolongation can be associated with a rare but potentially fatal ventricular tachyarrhythmia called Torsades de Pointes (TdP), these results have led to questions about whether buprenorphine’s QTc prolongation is associated with any risk of TdP.

The most common cause of drug-induced QTC prolongation and TdP is acute inhibition of hERG current (IhERG) that is important for the repolarizing phase of the ventricular action potential (AP) [2, 3]. Examples of drugs that prolong the QTC interval yet are associated with low TdP risk (i.e., ranolazine, amiodarone, and verapamil) suggest that concomitant inhibition of late Na+ (INaL) [4] and/or L-type Ca2+ current (ICaL) [5, 6] could offset the TdP risk imposed by hERG channel block. Though less common, some drugs prolong the QTC interval by increasing INaL [7, 8]. Basic science studies also show that delayed repolarization and ventricular arrhythmias can occur by pharmacologically enhancing ICaL [9]. Knowledge of drug effects on inward and outward ventricular ionic currents is thus important for proarrhythmia risk assessment. Buprenorphine has been reported to inhibit IhERG [10] and peak Na+ current (INaP) [11] in the micromolar to tens of micromolar range. These concentrations far exceed the subnanomolar free drug level achieved by therapeutic dosing. However, the studies were performed at room temperature. Given that potencies of some hERG channel blockers are temperature-sensitive [1217], it is possible that buprenorphine’s potencies against IhERG and INaP would be different if experiments were conducted at a physiological temperature. The hERG data mentioned above were obtained using hERG1a-overexpressing cells [10]. In human ventricular myocytes, hERG channels are formed by heteromeric assembly of hERG1a and hERG1b subunits [18]. Some drugs exhibit different potencies in blocking homomeric (hERG1a) and heteromeric hERG channels [19], and buprenorphine’s effect on heteromeric hERG channels has not been assessed. Additionally, a literature search produced no information regarding buprenorphine’s effects on ICaL and INaL, nor multi-ion channel pharmacology data for norbuprenorphine, the major active metabolite of buprenorphine, that is also a MOR partial agonist.

To address the abovementioned knowledge gap, we performed patch clamp studies at 37°C to characterize the effects of buprenorphine and norbuprenorphine on IhERG mediated by hERG1a and hERG1a/1b channels, ICaL, INaL, and INaP using overexpression cell lines, and microelectrode array (MEA) experiments to study drug effects on the electrical behavior of human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). For comparison, methadone, a MOR receptor full agonist that is associated with QTC prolongation and high TdP risk, and two opioid receptor antagonists, naltrexone and naloxone, were also studied.

For data transparency, the original patch clamp records or individual data points required to construct graphs presented in the figures are available for download at: https://osf.io/tjuev/.

Materials and methods

Cell lines

For IhERG recordings, two HEK293 cell lines were used: one stably expressing the hERG1a subunit to form homomeric hERG channels [20]; and the other stably expressing hERG1a and hERG1b subunits to form heteromeric hERG channels [21]. Both cell lines were provided by Dr. Gail Robertson at the University of Wisconsin-Madison. The hERG1a and hERG1a/1b cells were at approximately 75% confluence when passaged using trypsin (0.25% Trypsin-EDTA, 25200–056, Gibco), and seeded at a density of 5X104—1X105 cells/mL onto 12-mm sterilized and uncoated glass coverslips (12-545-80, Fisher Scientific) housed in 35X10 mm petri dishes (430588, Corning) containing 2 mL of Dulbecco’s Modified Eagle’s Medium (DMEM, 30–2002, ATCC) supplemented with 10% fetal bovine serum (FBS, 10437–028, Gibco) and G-418 (100 μg/mL; 11811–031, Gibco). For hERG1a/1b cells, puromycin (0.25 μg/mL; P9620, Sigma) was also added. Following passage, hERG1a cells were incubated at 5% CO2 and 37°C for 24–48 hours prior to being used for electrophysiology studies. For the hERG1a/1b cells, doxycycline (100 ng/mL; D3072, Sigma) was added 24–48 hours prior to electrophysiology experiments to induce expression of the hERG1b subunit.

For ICaL recordings, a CHO cell line stably expressing human CaV1.2 α and auxiliary modulatory subunits β2 and α2δ1 were used (Charles River Laboratory). The cells were cultured in Ham’s F12 with L-glutamine nutrient mixture (11765–054, Gibco), supplemented with tetracycline-free 10% FBS (Hyclone), 0.01 mg/mL Blasticidin S (A11139-03, Gibco), 0.25 mg/mL G-418 (10131–035, Gibco), 0.25 mg/mL Hygromycin B (10687010, Invitrogen, or 30-240-CR, Corning), and 0.40 mg/mL Zeocin (46–0509, Invitrogen) at 5% CO2 and 37°C following passage. For patch clamp recording, cells in a ~70% confluent flask were washed with D-PBS (14190–144, Gibco) and then detached using Accutase (A11105-01, Gibco, or A6964, Sigma). The detached cells were seeded onto 12 mm sterile and uncoated glass coverslips in 35X10 mm petri dishes containing 2 mL of Ham’s F12 media supplemented with only 10% FBS at a density of 1X105—2X105 cells/mL. At least 16 hours prior to the electrophysiology experiment, CaV1.2 expression was induced by adding 0.5 μg/mL of tetracycline hydrochloride (T7660, Sigma) to the petri dish containing the seeded cells.

For INaP and INaL recordings, a HEK293 cell line stably expressing human NaV1.5 α and β1 subunits was used (Catalog #SB-HEK-hNaV1.5; SB Drug Discovery). The cells were maintained at 5% CO2 and 37°C in complete DMEM (which is DMEM (30–2002, ATCC) supplemented with 10% FBS (30–2020, ATCC)), 600 μg/mL G-418 sulfate (30-234-CI, Corning), and 4 μL/mL Blasticidin S (A11139-03, Gibco). Cells were passaged at <90% confluence by first washing with D-PBS (14190–144, Gibco), then detaching with 1–1.5 mL of TrypLE Express (12604–13, Gibco) at 37°C for 2–3 min. The detached cells were resuspended in DMEM and seeded onto 12 mm uncoated sterile glass coverslips housed in 35X10 mm petri dishes at a density of approximately 5X104—1X105 cells/mL per dish that contained 2 mL of complete DMEM. Cells were incubated at 5% CO2 and 37°C for 24–48 hours prior to use for electrophysiology studies.

The detailed cell culture procedures for overexpression cell lines can be found at: https://osf.io/tjuev/.

Whole cell voltage clamp electrophysiology

All experiments were conducted at 37°C. Glass coverslips with attached cells were placed in a recording chamber mounted on an inverted (Zeiss Axiovert 135TV) or an upright microscope (Zeiss AxioExaminer D1). The recording chamber was continuously perfused with external solution flowing at a rate of 2–3 mL/min. Recordings were made using borosilicate glass pipettes (BF150-86-10; Sutter Instrument, CA) pulled with a micropipette puller (P97; Sutter Instrument, CA) to 1.5–3 MΩ resistance when filled with internal solution.

For IhERG, the extracellular solution contained (in mM): 130 NaCl, 10 HEPES, 5 KCl, 1 MgCl2·6H2O, 1 CaCl2·2H2O, and 12.5 dextrose; pH was adjusted to 7.4 with 5 M NaOH. The internal solution contained (in mM): 120 K-gluconate, 20 KCl, 10 HEPES, 5 EGTA, and 1.5 MgATP; pH was adjusted to 7.3 with 1 M KOH; ~280 mOsM. The voltage command values were corrected for the 15 mV liquid junction potential (calculated using pClamp10 software; Molecular Device, CA) that resulted from using these solutions. Cells were depolarized from a holding potential of -80 mV to +40 mV for 2 s, then repolarized to -50 mV for 1.5 s to evoke the tail current that is predominantly mediated by hERG channels, and finally returned to -80 mV. A 100 ms hyperpolarizing step from -80 mV to -90 mV was included prior to the depolarizing step to monitor input resistance throughout the recording. This voltage protocol was repeated at 15 s intervals.

For ICaL, the external solution contained (in mM): 137 NaCl, 4 KCl, 1.8 CaCl2, 1 MgCl2, 10 HEPES, and 10 dextrose; pH was adjusted to 7.4 with 5M NaOH. The intracellular solution contained (in mM): 120 aspartic acid, 120 CsOH, 10 CsCl, 10 EGTA, 5 MgATP, 0.4 TrisGTP, and 10 HEPES; pH was adjusted to 7.2 with 5M CsOH; ~290 mOsM. The voltage command values were corrected for the 17 mV liquid junction potential. Cells were held at -80 mV, depolarized to 0 mV for 40 ms, further depolarized to +30 mV for 200 ms, and then ramped down to -80 mV in 100 ms (-1.1 V/s). A 100 ms hyperpolarizing step from -80 to -90 mV was included prior to the first depolarizing step to monitor input resistance throughout the recording. This voltage protocol was presented at 5 s intervals.

For INaP and INaL recordings, the external solution contained (in mM): 130 NaCl, 4 CsCl, 2 CaCl2, 1 MgCl2, 10 HEPES, and 10 dextrose; pH was adjusted to 7.4 with NaOH. The internal solution contained (in mM): 130 CsCl, 7 NaCl, 1 MgCl2, 5 EGTA, and 5 HEPES; pH was adjusted to 7.2 with CsOH; ~280 mOsM. When recording INaL, 150 nM ATX-II was added to the external solution to slow Na+ channel inactivation, thereby inducing a pronounced late component. Cells were first hyperpolarized from -95 mV to -120 mV for 200 ms to facilitate recovery of Na+ channels from inactivation, then depolarized to -15 mV for 40 ms, then +40 mV for 200 ms, then ramped down to -95 mV in 100 ms (-1.35 V/s). This voltage protocol was repeated at 12.5 s intervals.

These voltage protocols were continuously presented at the respective intervals throughout the duration of the recordings. Recordings were obtained first in control solution until the amplitude of the ionic current being studied reached stability, then drug solution was bath-applied and recording repeated in the presence of drug until a new steady state current amplitude was reached. For ICaL, current rundown upon whole cell formation exhibited multiple phases. Stability for ICaL experiments was thus defined as rundown reaching a steady and slower rate. Each cell was exposed to one or more concentrations of the same drug as long as membrane properties (i.e., input resistance and holding current at rest) and recording quality (current signal) remained stable.

Cells were visualized using phase contrast method for the inverted microscope and differential interference contrast-infrared (DIC-IR) method for the upright microscope. Temperatures of the in-line solution heater and recording chamber were maintained with a dual channel temperature controller (TC2BIP from Cell MicroControls for the inverted microscope setup; TC-344C from Warner Instruments for the upright microscope setup), and temperature of the perfusate near the cells was recorded throughout the experiment with a thermistor. Recordings were obtained using Multiclamp 700B amplifiers (Molecular Devices, CA). For IhERG, signals were filtered at 2.2 kHz and digitized at 5 kHz using a Digidata 1550A interface (Molecular Devices, CA), and transferred to a computer using pClamp10 software (Molecular Devices, CA). For ICaL, signals were filtered at 3 kHz and digitized at 10 kHz. For INaP and INaL, signals were filtered at 10 kHz and digitized at 20 kHz. Seal resistance was always >1 GΩ, and series resistance was electronically compensated at 80%. To allow for adequate internal solution dialysis prior to actual current recording, following whole cell formation cells were given ~2 min resting period, during which the recording and membrane properties were monitored using the “membrane test” function of the pClamp10 software.

Data and statistical analysis for whole cell voltage clamp experiments

Current traces were analyzed using custom macros written in Igor Pro 6 (WaveMetrics) and pClamp10 software (Molecular Devices, CA). For IhERG and INaP, the peak current amplitude was subtracted against baseline current amplitude measured at the beginning of the voltage protocol (-80 mV for IhERG and -95 mV for INaP experiments). For ICaL and INaL, the current amplitude for each recorded trace was subtracted against calculated passive current for that trace as previously described [22]. Passive current calculation was done by first using Ohm’s Law to calculate input resistance using the current evoked by the -10 mV hyperpolarizing step (from -80 mV to -90 mV) for the ICaL voltage protocol or the -25 mV hyperpolarizing step (from -95 mV to -120 mV) for the INaL voltage protocol, and then using the input resistance value and Ohm’s law to calculate the passive current expected at various voltages. In a subset of CaV1.2 cells, despite the use of Cs+-based internal solution, an endogenous outward current was revealed following ICaL inhibition. For these cells, traces obtained in the presence of 100 μM verapamil (with endogenous current present) were used for subtraction for all recorded traces to obtain ICaL amplitude. In some cells tested with 100 to 300 μM methadone, verapamil was not applied and complete abolition of ICaL was achieved. When endogenous outward current was found for these cells, traces obtained in methadone were used for subtraction to calculate ICaL amplitude.

The potencies of tested drugs against various ionic currents were quantified by constructing concentration-inhibition plots. For IhERG recordings, fractional inhibition from individual cells was calculated by first normalizing the average current amplitude of the last 3 consecutively recorded traces in drug solution to that obtained in control solution, and then subtracting this value from unity. For ICaL recordings, the averaged current amplitude of 10 consecutively recorded traces in drug and control solutions were used. For INaL and INaP recordings, the averaged values of 5 consecutively recorded traces in drug and control solutions were used. For each current, the fractional inhibition values from all cells were then pooled and plotted against drug concentrations to generate concentration-inhibition plots, and these plots were fit with the Hill equation using Igor Pro 6 (WaveMetrics, Portland, OR, USA), with minimum and maximum fractional block constrained to 0 and 1, respectively. Half inhibitory concentration (IC50) and the Hill coefficient (nH) obtained from the fit are presented as mean ± standard deviation (SD) in the text. Summary data points in the figures are shown as mean ± standard error of the mean (SEM). Statistical analysis was performed on the concentration-inhibition plots for buprenorphine on hERG1a and hERG1a/1b channels using GraphPad Prism version 8.3. Individual datapoints for each concentration were fitted to the Hill equation with variable slope, in the form of “Fractional block = 1 / (1+ (IC50/[buprenorphine])nH)”, and the best-fit values for the IC50 and nH were compared using the extra-sum-of-squares F test with the significance P value set to < 0.05. These data and statistical analysis plans comply with the recommendations on experimental design and analysis in pharmacology [23].

Cell culture for human iPSC-CMs and MEA plating

iCell cardiomyocytes2 were purchased from Fujifilm Cellular Dynamics (cat. # R1017; FCDI, Madison, Wisconsin). These cells were thawed, centrifuged at 180 g, and seeded at 50,000 cells/well in 5 μL droplets on the MEA 48-well plates (cat. # M768-KAP-48, Axion Biosystems). Just prior to use, the MEA plates were coated with fibronectin (1:20 with DPBS; cat. # 11080938001,1mg/mL, Roche) for 1 hr at 37°C. After 1 hr, 300 μL of maintenance media was slowly added to each well in the plate. Cells on MEA plates were maintained at 37°C and 5% CO2 according to published procedures [24].

MEA recordings

All drug testing was performed on day 7 of plating cells on the MEA plates. One day prior to the experiment, iPSC-CMs were fed with fresh maintenance media. On the day of the experiment, 1000X stock solution in DMSO was prepared for each tested drug concentration. These 1000X stocks were then made into 10X stocks by diluting with maintenance media. Final concentration of DMSO did not exceed 0.1%. DMSO (0.1%) and vehicle controls were randomly distributed across the plate to normalize for edge-effects on the multi-well MEA Maestro system (Axion Biosystems). Separate drug-dosing plates were prepared and equilibrated at 37°C and 5% CO2. MEA plates equilibrated on the Maestro for 20 min before baseline recordings. The drugs were then added by pipetting 30 μL of the 10X stock solution into each well containing 270 μL of the medium. Post-drug data were collected 30 min after drug application. Field potentials in iPSC-CMs were recorded using AxIS software version 2.4.2 (Axion Biosystems) in cardiac standard configuration (130X gain) with a sampling frequency of 12.5 kHz, and a band pass filter of 0.1–2000 Hz. A statistics compiler tool filtered the beats with spike amplitude (SA) > 0.3 mV, beat-to-beat field potential duration (FPD) consistency within 2X SD, electrode FPD consistency (10% coefficient of variation), and well FPD consistency within 2X median absolute deviation. Thirty stable beats from the last 5 min of each recording were selected for analysis using Axis CiPA analysis tool (version 1.2.3).

Data analysis for MEA recordings

The following data inclusion criteria were applied to the baseline parameters: 1) iPSC-CM baseline spontaneous beating rate within 20–90 beats per minute (0.3–1.5 Hz); 2) baseline beating rate within 6 SDs calculated from the baseline beating rate for all wells on a given plate; 3) coefficient of variation for the baseline beat period (BP) less than 5%; and 4) SA > 0.3 mV. SA is defined as the peak-to-peak amplitude of the depolarization spike. These inclusion criteria were adopted from a published study [25].

FPD of the spontaneously-beating iPSC-CMs were corrected using Fridericia’s correction formula, FPDC=FPD/BP3, where BP is iPSC-CM beat period (averaged time between consecutive depolarization spikes in MEA recordings). Double delta FPD (ΔΔFPD), double-delta beat period (ΔΔBP), and double delta spike amplitude (ΔΔSA) were calculated after correcting drug-induced FPD with plate-specific vehicle (as DMSO control) and well-based baseline FPD values. ΔΔFPD data were excluded from analysis if more than 50% of wells for a given drug concentration exhibited arrhythmia-like events.

Drugs

The following drugs and solvent were purchased from Sigma-Aldrich: buprenorphine hydrochloride (B9275, USDEA C-III), (±)-methadone hydrochloride (M0267, USDEA C-II), naltrexone hydrochloride (N3136), and DMSO (D8418). Naloxone hydrochloride (0599), (±)-verapamil hydrochloride (0654), E-4031 dihydrochloride (1808), and tetrodotoxin citrate or TTX (1069) were purchased from Tocris Bioscience. Norbuprenorphine hydrochloride was purchased from Noramco. ATX-II (STA-700) was purchased from Alomone Labs. To make stock solutions for patch clamp experiments, TTX, verapamil, E-4031, ATX-II, naloxone, and naltrexone were dissolved in water. Buprenorphine, norbuprenorphine, and methadone were dissolved in DMSO. When DMSO was used as a solvent to prepare stock solution, the final DMSO concentration applied to overexpression cells was ≤0.3% for CaV1.2 cells and ≤0.1% for the rest. In iPSC-CM experiments, stock solutions were all made with DMSO, and the final DMSO concentration applied to the cells was ≤0.1%. Aliquoted stock solutions were stored at -20°C until the day of experimentation and were thawed, vortexed, and diluted to specific test concentrations in extracellular solution.

Clinically relevant concentrations of the tested drugs

The IC50s obtained for individual drugs were compared with the maximum systemic concentrations of free or total drug following therapeutic dosing (free or total Cmax, respectively) to assess the likelihood of acute cardiac ion channel block when these drugs are used as indicated. The preference for this comparison is free Cmax if the percent of plasma protein binding is known, since free drug molecules are thought to be the ones that could interact with cardiac ion channels. Cmax values used in this paper reflect the highest across all drug products for a specific moiety to reflect the highest therapeutic exposure level. For buprenorphine, free Cmax was calculated using data from the drug label for Sublocade™. Following the 4th monthly dose of subcutaneous injection, the steady state plasma buprenorphine level reached 10.12 ng/mL, or 0.02 μM converted using a molecular weight of 467.64 g/mol. Given 96% plasma protein binding, free Cmax for buprenorphine was 0.00087 μM. For norbuprenorphine, total Cmax was based on the data after the 7th sublingual, 24 mg dose of Subutex™ (https://www.ema.europa.eu/en/documents/assessment-report/buvidal-epar-public-assessment-report_en.pdf). Total Cmax was 9.29 ng/mL or 0.022 μM, converted using a molecular weight of 413.55 g/mol. Free Cmax was not calculated as the percent of plasma protein binding for norbuprenorphine has not been empirically determined. In-house simulation using GastroPlus package (Simulation Plus Inc.) predicted this metabolite to be extensively plasma protein-bound (95 ± 5%), just like the parent molecule. For methadone, free Cmax was calculated using a total Cmax of 904 ng/mL from Table 4 of the study by Florian and colleagues [26]. Given 85% plasma protein binding, free Cmax of methadone was 135.6 ng/mL or 0.44 μM, converted using a molecular weight of 309.45 g/mol. For naltrexone, total Cmax was based on 380 mg intramuscular injection of Vivitrol® every 4 weeks as the recommended dose (https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/021897s045lbl.pdf). Total Cmax was 12.1 ng/mL or 0.035 μM when converted using a molecular weight of 341.41 g/mol. Given 21% plasma protein binding, free Cmax was 0.028 μM. For naloxone, total Cmax was the result of a 2 mg EVZIO® intramuscular/subcutaneous injection (https://www.accessdata.fda.gov/drugsatfda_docs/label/2016/209862lbl.pdf). Total Cmax was 7.91 ng/mL or 0.024 μM, converted using a molecular weight of 327.27 g/mol. In adult human plasma, 54% naloxone is in free, unbound form [27]. Thus, free Cmax of naloxone was 0.013 μM.

Results

Cardiac ion channel electrophysiology

Fig 1A shows a schematic diagram of a ventricular AP and contributions of the ionic currents examined in this study to different phases of the AP. In a highly simplified scheme, INaP is responsible for AP upstroke (phase 0), ICaL and INaL contribute to AP duration (APD; phase 2), and IhERG, thought to be the correlate of IKr in cardiomyocytes, contributes to repolarization of the membrane potential (phase 3).

Fig 1. Ionic currents studied and voltage protocols used to evoke them.

Fig 1

A) Schematic diagram of a ventricular AP, with phases of the AP indicated by numbers and ionic currents contributing to these phases labelled. B-E) Representative current traces (upper panels) recorded from cells overexpressing the specified ion channel proteins and voltage protocols used to evoke them (lower panels). Control traces are shown in black; following bath application of a selective blocker, dark gray is used. For ICaL recordings in (C) and INaL recordings in (D), Ipassive traces in light gray were calculated using input resistance values derived from the control traces (see “Methods”). INaL and INaP were studied using the same voltage protocol. INaL was recorded in the presence of 150 nM ATX-II and its amplitude quantified as the peak inward current during the voltage ramp down phase. INaP was recorded in the absence of ATX-II and quantified as the peak inward current during the -15 mV step. The selective blocker used to inhibit IhERG was 1 μM E-4031; ICaL, 100 μM verapamil; and INaL and INaP, 30 μM TTX. The arrowhead in each panel denotes the region where each current was measured to quantify drug effects.

Fig 1B shows outward currents recorded from two representative cells expressing hERG1a and hERG1a/1b subunits, in control solution (black traces) and following bath application of the hERG channel blocker E-4031 (1 μM; dark gray traces). The tail current during the repolarization step to -50 mV was nearly abolished by E-4031 in both hERG1a and hERG1a/1b cells, indicating negligible background or leak current at this membrane voltage (tail current amplitude in control solution: 1640.8 ± 92.9 pA; following E-4031 application: 29.0 ± 2.0 pA; E-4031-insensitive current: 2.0 ± 0.2%; n = 81). Therefore, drug effect on IhERG was quantified using changes in the tail current amplitude. Note that deactivation of the tail current in hERG1a/1b cells was faster than that in hERG1a cells (see summary spreadsheet for IhERG experiments at https://osf.io/tjuev/), consistent with different gating behavior for homomeric and heteromeric hERG channels [21].

Fig 1C shows current traces recorded from a representative cell expressing CaV1.2/β22δ1 subunits, in control solution (black trace) and following bath application of the CaV1.2 channel blocker verapamil (100 μM; dark gray trace). The light gray trace is the calculated passive current (Ipassive) for the control current trace. Despite mismatch at the +30 mV step, in the majority of the cells Ipassive and verapamil-insensitive current traces aligned well at the ramp-down voltage phase where the ICaL amplitude was quantified. Therefore, in this study ICaL amplitude was quantified by subtracting Ipassive. For a subset of cells, Ipassive and residual current following complete ICaL inhibition did not align well at the voltage ramp-down phase, suggesting the presence of an endogenous current. For these cells the residual current trace was used for current subtraction to estimate ICaL amplitude.

Fig 1D and 1E show current traces recorded from representative cells overexpressing NaV1.5α/β1 subunits, in the presence of 150 nM ATX-II to study INaL (Fig 1D) and without to study INaP (Fig 1E). Current trace recorded in control solution is shown in black; following 30 μM TTX application, in dark gray. In Fig 1D, Ipassive was calculated using the control trace and is shown in light gray. Note that the TTX-insensitive current trace closely matched Ipassive. Therefore, in this study INaL was measured as the peak inward current at the ramp-down voltage phase and was quantified by subtracting Ipassive. INaP was not Ipassive-subtracted given its large amplitude (in control solution: -7578.4 ± 865.4 pA; in TTX solution: -888.3 ± 148.6 pA; TTX-insensitive current: 10%; n = 25).

Fig 2 shows the time course plots of representative pharmacology experiments for IhERG (Fig 2A), ICaL (Fig 2B), INaL (Fig 2C), and INaP (Fig 2D).

Fig 2. Time course plots of representative pharmacology experiments.

Fig 2

A) Upper panels, representative IhERG traces recorded from a hERG1a- (left panel) and a hERG1a/1b-expressing cell (right panel) in control solution, followed by sequential applications of 10 μM and 100 μM norbuprenorphine and then 1 μM E-4031. Lower panels, time course plots of the IhERG amplitude for the duration of these experiments. The current traces and time course plot data points are color-coded according to drug(s) and concentrations tested, and the numbers in the parentheses indicate current trace numbers recorded under the specified test condition. Panels (B) to (D) are organized similarly. B) ICaL recorded in control solution and followed by sequential applications of 10 μM and 300 μM methadone. Note that due to pronounced activity-dependent rundown typical of this current at the beginning of the experiment, data points for the first 14 current traces were off the Y-axis scale used for illustration. C) INaL recorded in control solution and followed by sequential applications of 30 μM and 300 μM naltrexone and then 30 μM TTX. D) INaP recorded in control solution and followed by sequential applications of 100 μM and 1000 μM naloxone.

Multi-channel pharmacology for buprenorphine

Fig 3 shows the concentration-inhibition plots for buprenorphine against IhERG (Fig 3A), ICaL (Fig 3B), INaL (Fig 3C), and INaP (Fig 3D). The IC50 and nH values are summarized in Table 1. Buprenorphine’s effects on homomeric and heteromeric hERG channels are not statistically different.

Fig 3. Effects of buprenorphine.

Fig 3

Concentration-inhibition plots of buprenorphine on IhERG (A), ICaL (B), INaL (C), and INaP (D). Data are shown as mean ± SEM. Each plot was fit with the Hill equation to the mean values, with maximum and minimum constrained to 1 and 0, respectively. The numbers in the parentheses correspond to the number of data points obtained for each drug concentration. E) An overlay of concentration-inhibition plots of buprenorphine on all tested ionic currents. The vertical dashed line indicates free Cmax of 0.00087 μM.

Table 1. Potencies of buprenorphine, norbuprenorphine, methadone, naltrexone, and naloxone on inhibiting IhERG, ICaL, INaL, and INaP.
Cmax (in μM; *free; #total) Ionic current IC50 (μM) at 37°C from this study (mean ± SD) nH (mean ± SD) IC50/free or total Cmax Literature IC50 (μM) (^room temperature; &37°C; +ambient)
Buprenorphine 0.00087* hERG1a 8.7 ± 0.4 0.9 ± 0.03 10046.1 7.5^ [10]
hERG1a/1b 6.9 ± 0.9 0.9 ± 0.1 7967.7
ICaL 9.0 ± 3.5 0.7 ± 0.2 10344.8
INaL 19.4 ± 0.5 1.0 ± 0.3 22401.8
INaP 31.4 ± 5.7 1.1 ± 0.2 36258.7 55^ [11]
Norbuprenorphine 0.022# hERG1a 36.6 ± 3.7 1.2 ± 0.1 1633.9
hERG1a/1b 30.9 ± 5.0 0.9 ± 0.1 1379.5
ICaL 27.8 ± 5.4 0.8 ± 0.1 1327.3
INaL 4.0 ± 0.5 1.1 ± 0.1 178.6
INaP 8.0 ± 0.7 1.0 ± 0.1 357.1
Methadone 0.44* hERG1a 2.8 ± 0.3 0.9 ± 0.1 6.4 4.8^ [46]
9.8^ [10]
19^ [47]
3& [47]
1.7+ [48]
hERG1a/1b 2.7 ± 0.9 0.9 ± 0.1 6.2
ICaL 5.5 ± 1.1 1.1 ± 0.2 12.6 phasic 26.3; tonic 7.7+ [48]
INaL 8.5 ± 0.6 0.9 ± 0.1 19.4 62^ [49]
INaP 40.1 ± 3.6 1.3 ± 0.1 91.6 90^ [49]
Phasic 11.2; tonic 5.5+ [48]
Naltrexone 0.028* hERG1a 31.1 ± 5.4 0.8 ± 0.1 1108.9
hERG1a/1b 32.3 ± 8.6 0.7 ± 0.1 1151.7
ICaL 1067.7 ± 756.0 0.6 ± 0.2 38132.1
INaL 148.5 ± 15.6 0.8 ± 0.1 5295.1
INaP 139.5 ± 24.5 0.8 ± 0.1 4974.1
Naloxone 0.013* hERG1a 37.3 ± 4.0 0.9 ± 0.1 2878.1 74.3^ [45]
hERG1a/1b 33.9 ± 2.8 0.9 ± 0.1 2615.7
ICaL 392.4 ± 71.7 0.4 ± 0.03 30277.8
INaL 284.7 ± 39.3 1.0 ± 0.2 21967.6
INaP 451.8 ± 13.9 0.9 ± 0.02 34861.1

Fig 3E shows the overlay of all concentration-inhibition plots and buprenorphine’s free Cmax (0.00087 μM). There is no overlap between these in vitro and clinical concentrations. The ratios of IC50s for individual ionic currents and buprenorphine’s free Cmax are presented in Table 1. This ratio for hERG1a, considered as the “safety margin” by drug developers, is 10,046. For reference, a safety margin of 30 to 45 and above has been proposed by several retrospective studies to indicate a low likelihood of drug-induced QTC prolongation [2830].

Norbuprenorphine

Fig 4 shows the concentration-inhibition plots for norbuprenorphine against IhERG (Fig 4A), ICaL (Fig 4B), INaL (Fig 4C), and INaP (Fig 4D). Fig 4E shows the overlay of all concentration-inhibition plots and norbuprenorphine’s total Cmax (0.22 μM). There is no overlap between these in vitro and clinical concentrations. Table 1 summarizes the values of IC50, nH, and the ratios of IC50s and total Cmax for norbuprenorphine. The safety margin of this drug, calculated using total and not free Cmax as the percent of protein binding has not been empirically determined, is 1,634.

Fig 4. Effects of norbuprenorphine.

Fig 4

Concentration-inhibition plots of norbuprenorphine on IhERG (A), ICaL (B), INaL (C), and INaP (D). E) An overlay of all concentration-inhibition curves. The vertical dashed line indicates total Cmax of 0.022 μM.

Methadone

Racemic methadone, also known as R,S-methadone or (±)-methadone, was used in this study since this is the formulation approved in the United States to manage opioid addiction. Fig 5 shows the concentration-inhibition plots of methadone on IhERG (Fig 5A), ICaL (Fig 5B), INaL (Fig 5C), and INaP (Fig 5D). Fig 5E shows the overlay of all concentration-inhibition plots and methadone’s free Cmax (0.44 μM). Unlike buprenorphine and norbuprenorphine, there is clear overlap between the in vitro and clinical concentrations for methadone. Table 1 summarizes the values of IC50, nH, and the ratios of IC50s and free Cmax for methadone. The safety margin of methadone is 6.4. At free Cmax, methadone is estimated to inhibit IhERG by 16%, and ICaL and INaL by 6%.

Fig 5. Effects of methadone.

Fig 5

Concentration-inhibition plots of methadone on IhERG (A), ICaL (B), INaL (C), and INaP (D). E) An overlay of concentration-inhibition curves for all studied currents. The vertical dashed line indicates free Cmax of 0.44 μM.

Naltrexone

Fig 6 shows the concentration-inhibition plots of naltrexone on IhERG (Fig 6A), ICaL (Fig 6B), INaL (Fig 6C), and INaP (Fig 6D). The overlay of all concentration-inhibition plots and naltrexone’s free Cmax (0.028 μM) shows no overlap between the in vitro and clinical concentrations (Fig 6E). Table 1 shows the values of IC50, nH, and the ratios of IC50s and free Cmax for naltrexone. The safety margin of this drug is 1,109.

Fig 6. Effects of naltrexone.

Fig 6

Concentration-inhibition plots of naltrexone on IhERG (A), ICaL (B), INaL (C), and INaP (D). E) An overlay of concentration-inhibition curves for all studied currents. The vertical dashed line indicates free Cmax of 0.028 μM.

Naloxone

Fig 7 shows the concentration-inhibition plots of naloxone on IhERG (Fig 7A), ICaL (Fig 7B), INaL (Fig 7C), and INaP (Fig 7D). Fig 7E shows the overlay of all concentration-inhibition plots and naloxone’s free Cmax (0.013 μM). Table 1 shows the values of IC50, nH, and the ratios of IC50s and total Cmax for naloxone. The safety margin of this drug is 2,878.

Fig 7. Effects of naloxone.

Fig 7

Concentration-inhibition plots of naloxone on IhERG (A), ICaL (B), INaL (C), and INaP (D). E) An overlay of concentration-inhibition curves for all studied currents. The vertical dashed line indicates free Cmax of 0.013 μM.

iPSC-CMs

Drug effects on cardiac APs were tested using iPSC-CMs and MEA platform. Fig 8 shows concentration-dependent changes in the field potential duration (FPD), beat period (BP), and spike amplitude (SA) of iPSC-CMs treated with these drugs as well as each drug’s free or total Cmax. Note that in these plots, the lines connecting the summary datapoints were for illustrative purposes and do not describe the relationship of how measured parameters change with increasing drug concentrations.

Fig 8. Field recordings of iPSC-CMs.

Fig 8

Concentration-dependent changes in ΔΔFPDC, ΔΔBP, and ΔΔSA of iPSC-CMs treated with various concentrations of buprenorphine (A), norbuprenorphine (B), methadone (C), naltrexone (D), and naloxone (E) on MEA plates. The effect of opioids was analyzed 30 minutes after adding respective drugs to the wells. ‘Quiescence’ was observed in few instances at higher drug concentrations. These events are denoted as “Q” in panels along with the number of replicate wells that showed ‘quiescence’. Arrythmia-like events were also observed in iPSC-CMs when treated with naltrexone at 10, 30 and 100 μM and naloxone at 100 μM. These events are denoted as “A” in panels along with the number of replicates. Data are represented as mean ± SEM. The vertical dashed line indicates free Cmax for buprenorphine, methadone, naltrexone, and naloxone, and total Cmax for norbuprenorphine.

At 1 and 3 μM, buprenorphine caused increases in ΔΔFPD in spontaneously beating iPSC-CMs. For reference, 1 μM is 1,111X higher than buprenorphine’s free Cmax. Buprenorphine also caused reductions in ΔΔBP at 1 and 3 μM and ΔΔSA at 3 μM. At 10 μM and above, buprenorphine induced quiescence in all cells.

Fig 8B shows the effects of norbuprenorphine. This drug also caused concentration-dependent increases in ΔΔFPD at 0.05–10 μM and ΔΔBP at 1–10 μM, and decreases in ΔΔSA at 0.05–10 μM. For reference, norbuprenorphine’s total Cmax is 0.022 μM, and simulation predicted this metabolite to be extensively plasma protein-bound as the parent molecule (95 ± 5%; see “Methods”). Thus, the in vitro concentrations tested in these studies are likely much higher than the free drug level achieved with therapeutic dosing.

Fig 8C shows the effects of methadone. The lowest concentration tested was 0.5 μM and approximately corresponds to free Cmax. Significant increase in ΔΔFPD is evident at this concentration. Methadone also caused concentration-dependent reductions in ΔΔBP and ΔΔSA, consistent with having effects on multiple cardiac ionic currents. These changes emerged at 1 μM (2.3X free Cmax) and 0.5 μM (1.1X free Cmax), respectively.

Fig 8D and 8E show the effects of naltrexone and naloxone, respectively. Both drugs caused concentration-dependent increases in ΔΔFPD and ΔΔBP. For naltrexone, these electrophysiological changes emerged at 1 μM (28.6X total Cmax); and for naloxone, at 3 μM (125X free Cmax) for ΔΔFPD and 10 uM for ΔΔBP (416.7X free Cmax). No effect on ΔΔSA was observed for either drug up to 10 μM. Naltrexone at 10, 30, and 100 μM and naloxone at 100 μM induced arrythmia-like events in 3–5 out of 8 wells and 2 out of 5 wells, respectively.

Discussion and conclusions

Buprenorphine and methadone are opioid receptor agonists that have been associated with QTC prolongation, with methadone generally accepted as having high TdP risk and buprenorphine having no documentation of associated TdP in the medical literature [1, 26, 3134]. This study shows that at clinically relevant concentrations, buprenorphine and its metabolite norbuprenorphine do not inhibit inward (ICaL, INaL, and INaP) or outward (IhERG) cardiac ionic currents (Fig 1) or alter AP characteristics in iPSC-CMs (Figs 3, 4, 8A and 8B). In contrast, methadone inhibits IhERG, ICaL, and INaL, and increases FPD in iPSC-CMs (Figs 5 and 8C). The mechanism of QTC prolongation is thus opioid moiety-specific: for buprenorphine, this mechanism remains unresolved; for methadone, hERG channel block plays a role. Naltrexone and naloxone are two non-specific opioid receptor antagonists used to treat opioid use disorder and as emergency treatment for opioid overdose, respectively. Neither naltrexone nor naloxone has acute effects on the tested ionic currents or iPSC-CMs at clinically relevant concentrations (Figs 6, 7, 8D and 8E). In the BUTRANS® study, buprenorphine was not associated QTC prolongation when naltrexone was co-administered [1]. In light of the present results, this clinical observation suggests that QTC prolongation associated with buprenorphine is initiated by opioid receptor activation.

Buprenorphine has mixed effects on different opioid receptor subtypes. It is a partial agonist for MOR, an agonist for nociception or OR-like 1 (ORL1) receptor, and an antagonist at delta opioid receptor (DOR) and kappa opioid receptor (KOR) [35]. Table 2 shows the inhibition constants (Ki) or binding affinities of buprenorphine and other tested drugs on different human opioid receptor subtypes. In sheep Purkinje fibers and rat papillary muscles, buprenorphine at 1–10 μM reduced AP height and maximum rate of rise (Vmax) while it prolonged APD [36]. These electrophysiological changes suggest inhibition of INaP and IhERG, as demonstrated in subsequent patch clamp studies [10, 11] (see Table 1 for IC50s). The present study confirms and extends the previous work, demonstrating that buprenorphine inhibits IhERG, INaP, and additionally ICaL and INaL, with IC50s in the micromolar to tens of millimolar concentration range (Fig 3A–3D; Table 1). Given the large difference between the in vitro concentrations and buprenorphine’s free Cmax (Fig 3E), direct inhibition of these ionic currents seems unlikely following therapeutic dosing. Results from iPSC-CMs similarly show a lack of drug effect on repolarization at clinically relevant concentrations (Fig 8A). Together, these data demonstrate that the direct cellular targets of buprenorphine that mediate QTC prolongation are not hERG, Ca2+, or Na+ channels or present on iPSC-CMs.

Table 2. Binding affinity at human opioid receptors.

Ki (nM)
Drug μ δ κ ORL1 Reference
Buprenorphine 0.0027 33 0.0021 25,000 [60]
Steady state free Cmax = 0.87 nM 0.52 [61]
0.08 0.42 0.11 285 [37]
1.5 6.1 2.5 77.4 [62]
1.5 4.5 0.8 [63]
0.21 [64]
0.21 2.9 0.62 [65]
1.8 [66]
1.5 4.5 0.8 [67]
Norbuprenorphine 0.0018 1300 0.0013 [60]
Steady state total Cmax = 22 nM 0.07 3.17 0.91 7330 [37]
Methadone 14 [61]
Free Cmax = 438 nM 3.7 [68]
5.6 [69]
0.6 132.2 323.5 [63]
3.37 [37]
7.7 [66]
3.38 [64]
Naltrexone 1.1 [61]
Free Cmax = 28 nM 0.26 117 5.15 [70]
0.2 10.8 4 [63]
0.5 1 [71]
Naloxone 3.3 [61]
Free Cmax = 13 nM 0.8 [68]
0.79 76 1.1 [72]
2.4 [73]
1.4 67.5 2.5 [63]
3 [74]
1.51 [64]
7 4 [71]
0.66 120 1.2 [65]
0.6 [66]

QTC prolongation by buprenorphine could also be mediated by its metabolite norbuprenorphine, which is a partial agonist for MOR and KOR, and a full agonist for DOR and ORL1 [37] (Table 2). Norbuprenorphine’s IC50s against the tested ionic currents are in the micromolar to tens of micromolar concentration range, values that far exceed the drug’s total Cmax following therapeutic dosing (Fig 4E; Table 1). Experiments on iPSC-CMs show that at 0.005 μM (0.23X total Cmax), norbuprenorphine caused no change in ΔΔFPDC, ΔΔBP, or ΔΔSA (Fig 8B). At 0.05 μM and above (>2.3X total Cmax), norbuprenorphine caused concentration-dependent increases in ΔΔFPDC and ΔΔBP, and decrease in ΔΔSA. That ΔΔFPDC began to increase at 0.05 μM was unexpected based on the ion channel data presented in Fig 4. Nonetheless, this concentration is likely much higher than the free drug level after therapeutic dosing, as norbuprenorphine is predicted to exhibit extensive plasma protein binding as buprenorphine. Thus, effects of norbuprenorphine on cardiac ion channels or iPSC-CMs cannot explain QTC prolongation associated with buprenorphine.

Naltrexone and its active metabolite 6β-naltrexol are competitive antagonists at MOR and KOR, and to a lesser extent at DOR [38] (Table 2). Naltrexone inhibited the tested ionic currents with IC50s in the tens of micromolar to millimolar concentration range (Fig 6A–6D), values far higher than the drug’s free Cmax following therapeutic dosing (Fig 6E; Table 1). Results from iPSC-CMs similarly showed a lack of drug effect on APs at clinically relevant concentrations (Fig 8D). These results suggest that naltrexone does not reverse or normalize QTC prolongation by buprenorphine by acting on hERG, Ca2+, or Na+ channels or cellular targets intrinsic to iPSC-CMs. Rather, this drug likely prevents QTC prolongation by preventing buprenorphine from activating opioid receptors.

Naloxone is a competitive antagonist at MOR and KOR, and a weak antagonist at DOR [39] (Table 2). Direct electrophysiological effects of this drug on cardiomyocytes and cardiac ion channels have been reported in many studies. In the micromolar to sub-millimolar concentration range, naloxone has been shown to prolong ventricular APD [4044] and decrease Vmax [41, 42]—changes suggestive of drug effects on multiple cardiac ion channels. Indeed, in the tens of micromolar concentration range, naloxone has been found to decrease INa, Ito, ICaL, and IKr, and increase IK1 (inward rectifier current that sets the resting membrane potential) in native myocytes [44], and inhibit IhERG in overexpression cells [45] (Table 1). The present data are consistent with the literature, showing that naloxone inhibits IhERG, ICaL, INaL, and INaP with IC50s ranging from tens to hundreds of micromolar (Fig 6; Table 1). Given the drug’s free Cmax of 0.013 μM, however, direct inhibition of the aforementioned cardiac ionic currents from past or present studies seems unlikely following therapeutic dosing. Consistent with this interpretation, naloxone at clinically relevant concentrations produced no change in ΔΔFPDC, ΔΔBP, or ΔΔSA in iPSC-CMs (Fig 8E).

Methadone is used as treatment of opioid use disorder and treatment for pain. While the literature states that this drug is a full agonist at MOR, following therapeutic dosing methadone can reach a level that binds to DOR and KOR as well (Table 2). Methadone is associated with QTC prolongation and TdP [26], and was studied here to provide a comparison for buprenorphine. Past studies have found methadone to be a multi-ion channel blocker, with IC50s for IhERG [10, 4648], ICaL [48], INaL [49], and INaP [48, 49] all in the micromolar to tens of micromolar range. The present results are largely consistent with the literature (Fig 5; Table 1), showing that methadone inhibits IhERG by 16% and ICaL and INaL by 6% each at the drug’s free Cmax. The overall consequence of inward and outward current inhibition is increased ΔΔFPDC and ΔΔBP in iPSC-CMs at 0.5 μM (1.1X free Cmax) (Fig 8C). Similar findings of repolarization delay by methadone have also been found in a study of sheep Purkinje fibers [50] and human stem cell-derived cardiomyocytes [48]. Thus, following therapeutic dosing, repolarization delay by methadone that results from acute hERG channel block can be expected.

An important limitation of this study is the lack of concentration analysis to confirm actual drug concentrations exposed to the recorded cells. Actual concentrations may differ from nominal drug concentrations due to issues related to stability, solubility, adsorption in the perfusion apparatus, and in the case of MEA experiments, the presence of serum proteins in the medium [5153]. Such possibility has led to the question whether the central conclusion of this study–that buprenorphine and norbuprenorphine do not directly block hERG channels with therapeutic dosing–can still be supported. Two lines of reasoning suggest “yes”. First, despite the uncertainty in in vitro drug concentrations, several retrospective studies have pointed to a hERG safety margin of 30 to 45 and above to identify drugs with low QT prolongation risk due to direct hERG channel block. Buprenorphine’s safety margin is far greater than that threshold and excess of 10,000. Even norbuprenorphine’s safety margin, determined using total rather than free Cmax, is excess of 1,600. Second, a previous study that compared drug loss for 39 compounds showed the most extensive loss to be 74% [51]. Even with that level of drug loss, buprenorphine’s safety margin would still be 2600, whereas that for norbuprenorphine determined using total Cmax would still be 416. Therefore, the lack of concentration analysis in this study may affect the actual safety margin values for buprenorphine and norbuprenorphine. However, due to the magnitude of these values, the study conclusion—that acute and direct block of hERG channels by buprenorphine (and norbuprenorphine) is unlikely to occur with therapeutic dosing and cannot explain QT prolongation seen in Harris et al. (2017) [1]–is not altered.

Opioid receptor agonists have been shown to affect the release of neurotransmitters, including acetylcholine due to vagal stimulation [54, 55] and noradrenaline due to sympathetic nerve stimulation [56, 57] to the heart in basic science studies. Thus, it seems plausible that buprenorphine-associated QTC prolongation is mediated by activation of presynaptic opioid receptors that alter neuromodulatory tone to the heart, resulting in repolarization delay. In terms of opioid receptor localization in the human heart, one study has reported diffuse immunoreactivities for MOR, DOR, and KOR in ventricular myocardial cells [58]. These results seem to be at odds with the findings that buprenorphine does not alter electrical behavior of animal ventricular myocytes [36] or human iPSC-CMs (Fig 8A and 8B) at clinically relevant concentrations of nanomolar range. Additional studies with different opioid receptor antibodies to confirm receptor localization on human primary ventricular myocytes will be helpful to reconcile these discrepancies.

Sobanski and colleagues also reported strong immunolabeling for MOR, DOR, and KOR on nerve fibers in human ventricular tissues, with MOR and DOR immunoreactivities on sparse individual nerve fibers, and KOR immunoreactivity predominantly on intrinsic cardiac adrenergic (ICA) cell-like structures [58]. Double immunostaining showed that DOR colocalized with the sensory neuron marker calcitonin gene-related peptide (CGRP), a neural peptide that modulates cardiac and blood vessel functions [59]. Exactly which neurotransmitters (and co-transmitters) are released by nerve fibers that express opioid receptors, and if they translate to QTC prolongation, are important questions for future studies to address.

Another opioid with a large hERG safety margin and clinical QTc prolongation that crosses the 10 msec threshold of regulatory concern is hydrocodone (safety margin for IhERG > 1238). This drug is a full agonist at MOR with low affinity for DOR and KOR (https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/206627s010lbl.pdf). The Cmax of hydrocodone following a 120 mg oral dose is 110 ng/mL or 0.24 μM, converted using a molecular weight of 449.4 g/mol. Based on 33% plasma protein binding, free Cmax of hydrocodone is 0.081 μM. The hERG channel study report for this drug’s application package shows that at 100 μM, hydrocodone inhibited IhERG by 33% (https://www.accessdata.fda.gov/drugsatfda_docs/nda/2014/206627Orig1s000PharmR.pdf). The safety margin for hydrocodone is thus >1238. That there are opioids with mechanisms of QTC prolongation not involving acute hERG channel block has important implications regarding cardiac safety studies for this drug class. During early discovery, drug candidates are screened for hERG channel block to predict their likelihood of prolonging the QTC interval. A negative hERG signal for opioids thus may not be predictive of a lack of QTC prolongation. Pertinent to regulatory review of submitted cardiac safety data, there remain several outstanding questions for QTC prolongation observed with opioids. What is the extent of QTC prolongation by opioids in the absence of direct cardiac ion channel interaction, and does it saturate? Opioid receptors are downregulated in the continued presence of agonist. If this form of QTC prolongation indeed were mediated by opioid receptor activation, then does the QTC change track with receptor downregulation? How does the QTC response differ between first-time vs. chronic users of opioids? Regarding opioid use-associated TdP risk, postmarket experience for buprenorphine shows no association with TdP. In contrast, methadone, which directly blocks hERG channels, is associated with high TdP risk. Future studies that assess cardiac ion channel pharmacology, electrocardiographic effects, and postmarket data for additional opioids are important to evaluate whether the lack of association with TdP as seen with buprenorphine can be generalized to other drugs with QTC prolongation not mediated by acute hERG channel block.

Acknowledgments

The authors thank Monika Deshpande, PhD, and J. Rick Turner, PhD, DSc, for editorial assistance.

Data Availability

Data are available from the Open Science Framework: https://osf.io/tjuev.

Funding Statement

This work was supported by internal funding from the United States Food and Drug Administration (FDA) and appointment to the Research Participation Programs at the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the Department of Energy and FDA.

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Decision Letter 0

Daniel M Johnson

20 Aug 2020

PONE-D-20-22214

Mechanisms of QT prolongation by buprenorphine cannot be explained by direct hERG channel block

PLOS ONE

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Reviewer #1: The manuscript by Wu et al., investigates the mechanisms of the QT prolongation seen after administration of buprenorphine in human trials. The effects of buprenorphine and other opioid analogues on key ion channel currents are investigated using the whole cell patch clamp technique and the effects of the opioid agonists/antagonists are also assessed in iPSC-CMs.

The paper is well written and data are clearly presented. I am happy to recommend this for publication but have one main comment and some minor issues that should be addressed beforehand.

It would be more straightforward if all clinical reference concentrations (and affected graphs) were presented as free concentrations rather than the current mixture of free (bup, methadone, naltrexone) and total (norbup, naloxone). I realise the PPB values are not always available. However, the authors describe the simulated PPB value for norbuprenorphine (but do not use it) and a quick search revealed a paper that may be useful for naloxone (Naloxone protein binding in adult and foetal plasma. L. A. Asali & K. F. Brown. European Journal of Clinical Pharmacology volume 27, pages459–463(1984)). Perhaps the missing PPB data could also be generated at a CRO ?

There are a number of MINOR issues that should be addressed prior to publication:

Abstract “…..that repolarizes the ventricular action potentials (APs).” – pedantic point but suggest re-wording this. It is the myocytes that are repolarised.

Intro – “….that is important for ventricular action potential (AP) repolarization”. As above , suggest rewording to something like……”…important during the repolarization phase of the ventricular action potential (AP)”

page 6 – no incubation details ((%C) and temp) for Cav1.2 expressing cells given.

page 13- suggest adding Fredericias’s formula for clarity (or the variation of it that you have used, as Fredericia’s formula is actually for QT)

Page 13 – you have described calculation of FPD parameters but there is no description of the other parameters calculated for the MEA studies – double delta BP and SA.

Results – suggest safety margins do not need to be presented to 1 decimal place (at least for those >10). The same goes for fold margin page 19 eg 1111.1x

Page 19 – worth reiterating what SA refers to as you have done for BP

Page 20 – “For reference, buprenorphine’s total Cmax is 0.022 μM, and simulation

predicted norbuprenorphine…..” Suggest that buprenorphine should actually be norbuprenorphine in this sentence.

I also note that there is inconsistency in the presentation of free Cmax values between drugs eg buprenorphine to 2DP and norbuprenorphine to 3DP. Suggest standardising.

Page 20 “Thus, the in vitro concentrations tested in these studies are likely much higher than the free drug level achieved with therapeutic dosing.” I think it may be worth calculating a margin (accepting that this based on simulated PPB).

Page 20 – Naloxone naltrexone – “No effect on ��SA was observed for either drug at any tested concentration.” It looks like there was a decrease in SA at 100uM for naloxone. Fig 8E

Table 2 – no indication if steady state conc of norbuprenorphine is free or total. This also differs to the value given in Table 1.

Fig 8 legend. Suggest indicating that the vertical dotted line refers to Cmax and indicate that this is sometime free and sometimes total (unless you can standardise this).

Reviewer #2: This manuscript by Wu and colleagues provides a detailed study of the electrophysiologic effects of various opioid agonists and antagonists on multiple cardiac currents (expressed in heterologous systems) as well as human induced pluripotent stem-cell derived cardiomyocytes (pSC-CMs) While carefully performed and results considered in the context of clinical experiences, the findings are not unexpected (not all opioids demonstrate similar electrophysiologic effects). An attempt to explain the multichannel blocking activity on overall repolarization (prolongation or shortening) using an in-silico model would have strengthened the manuscript. Finally, this reviewer was disappointed by the overall conclusion that QTc prolongation with buprenorphine was not explained by any of the findings. It is also uncertain how the possible mechanism suggested (Opioid receptor activation) might apply to all opioid agonists, and not only buprenorphine.

Specific comments:

The abstract leads the reader to believe that buprenorphine causes QTc prolongation. Since QTc prolongation is associated with Torsades, it is expected that buprenorphine would be linked to Torsades. However, the end of the abstract states that the is no evidence that buprenorphine use is associated with TdP. Thus, one is left with either 1) a non-hERG mediated effect eliciting QTc prolongation, or 2) a false-positive QTc finding. Should this second option be considered further?

Reviewer #3: The experimental parts of this manuscript were done in different assays.

Major question: the title of this manuscript is not right based on following reason:

1. The authors have not analyzed the well concentration of buprenorphine in experimental setting, therefore the authors do not know if the dose in the well being so called “clinical free Cmax or Cmax level”. There are different several CNS or pain drugs which caused long QT in man, yet the doses in vitro assay are often much higher than its respectively free Cmax (>10-100 folders than its free Cmax): the reasons are complex (solubility, lipophilic, high in tissue, low in plasma, possible combining with ion trafficking etc..).

2. Doses in MEA assay could be lower than the target doses (in serum medium with protein).

3. LQT and arrhythmias with the drug are often in overdose condition and also long term-use while in vitro assays are very short experiment protocols within minutes or a hour, which is not matching to the conditions in clinic.

4. There are clear effects of buprenorphine on HEREG, Na+ and MEA at so-called high dose in this manuscript. These effects are very similar to other opium agonists such as Dextropropoxyphene or CNS drug Thioridazine , sertindole, ziprasidone etc..

Therefore , strongly suggest that authors to re-write the title and discussion and conclusion.

**********

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Reviewer #1: Yes: Dr Matt Skinner

Reviewer #2: No

Reviewer #3: No

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PLoS One. 2020 Nov 6;15(11):e0241362. doi: 10.1371/journal.pone.0241362.r002

Author response to Decision Letter 0


30 Sep 2020

Dear Dr. Johnson,

We thank you and the three reviewers for reading and commenting on our manuscript. Below is our point-to-point response (in blue). We believe that by addressing all the comments, we have significantly strengthened our manuscript. I hope you find it now suitable for publication by PLOS ONE. Please let me know if you have any question.

Sincerely,

Wendy Wu

Reviewer #1: The manuscript by Wu et al., investigates the mechanisms of the QT prolongation seen after administration of buprenorphine in human trials. The effects of buprenorphine and other opioid analogues on key ion channel currents are investigated using the whole cell patch clamp technique and the effects of the opioid agonists/antagonists are also assessed in iPSC-CMs. The paper is well written and data are clearly presented. I am happy to recommend this for publication but have one main comment and some minor issues that should be addressed beforehand.

It would be more straightforward if all clinical reference concentrations (and affected graphs) were presented as free concentrations rather than the current mixture of free (bup, methadone, naltrexone) and total (norbup, naloxone). I realise the PPB values are not always available. However, the authors describe the simulated PPB value for norbuprenorphine (but do not use it) and a quick search revealed a paper that may be useful for naloxone (Naloxone protein binding in adult and foetal plasma. L. A. Asali & K. F. Brown. European Journal of Clinical Pharmacology volume 27, pages459–463(1984)). Perhaps the missing PPB data could also be generated at a CRO?

We thank Dr. Skinner for sharing the reference describing PPB of naloxone in human plasma. Based on these empirical data, we have calculated the free Cmax for naloxone, and have used this value to calculate the safety margins of this drug for the studied ionic currents. Accordingly, we have updated relevant sections in “Materials and Methods” (p. 15), “Results” (p. 19), “Discussion and Conclusions” (p. 23), Table 1, and Figures 5E and 8 - wherever naloxone’s free Cmax was mentioned or used to calculate the safety margins, or graphically illustrated.

Regarding norbuprenorphine, we prefer presenting this drug’s total Cmax, and not free Cmax based on simulated results, to reflect the fact that PPB of this metabolite in human plasma has not been empirically determined (as stated on p. 15 of the manuscript). Using norbuprenorphine’s total Cmax, which would produce a smaller hERG safety margin than if we were able to use free Cmax, already eliminated the likelihood of this metabolite contributing to QTC prolongation in the TQT studies of BUTRANS® presented by Harris et al., 2017 via the mechanism of direct and acute hERG channel block. Given that results from experiments to measure PPB of norbuprenorphine would not impact interpretation of our work, we are unable to justify funding these experiments.

There are a number of MINOR issues that should be addressed prior to publication:

Abstract “…..that repolarizes the ventricular action potentials (APs).” – pedantic point but suggest re-wording this. It is the myocytes that are repolarised.

Reworded as Dr. Skinner stated below.

Intro – “….that is important for ventricular action potential (AP) repolarization”. As above , suggest rewording to something like……”…important during the repolarization phase of the ventricular action potential (AP)”

Reworded as Dr. Skinner stated.

page 6 – no incubation details ((%C) and temp) for Cav1.2 expressing cells given.

Incubation details now provided.

page 13- suggest adding Fredericias’s formula for clarity (or the variation of it that you have used, as Fredericia’s formula is actually for QT)

See answer below.

Page 13 – you have described calculation of FPD parameters but there is no description of the other parameters calculated for the MEA studies – double delta BP and SA.

We thank Dr. Skinner for pointing out that clarification of methods used for MEA data analysis is needed. We have now added the Fridericia formula and double delta BP and SA information to the Data analysis for MEA recordings section on p. 13.

Results – suggest safety margins do not need to be presented to 1 decimal place (at least for those >10). The same goes for fold margin page 19 eg 1111.1x

Done. Now to whole numbers for all drugs except for methadone, which has a safety margin of 6.4.

Page 19 – worth reiterating what SA refers to as you have done for BP

Defined.

Page 20 – “For reference, buprenorphine’s total Cmax is 0.022 µM, and simulation predicted norbuprenorphine…..” Suggest that buprenorphine should actually be norbuprenorphine in this sentence.

Changed.

I also note that there is inconsistency in the presentation of free Cmax values between drugs eg buprenorphine to 2DP and norbuprenorphine to 3DP. Suggest standardising.

Thank you for this recommendation of standardizing. We now present free and total Cmax to 2 significant digits.

Page 20 “Thus, the in vitro concentrations tested in these studies are likely much higher than the free drug level achieved with therapeutic dosing.” I think it may be worth calculating a margin (accepting that this based on simulated PPB).

We prefer using empirical data to calculate free Cmax, hence safety margin for norbuprenorphine was calculated using total Cmax (as is presented in the text).

Page 20 – Naloxone naltrexone – “No effect on ΔΔSA was observed for either drug at any tested concentration.” It looks like there was a decrease in SA at 100uM for naloxone. Fig 8E

We thank Dr. Skinner for catching this. We have now clarified that no effects on ΔΔSA was observed for either drug up to 10 µM (p. 20).

Table 2 – no indication if steady state conc of norbuprenorphine is free or total. This also differs to the value given in Table 1.

This is steady state total Cmax for norbuprenorphine. We have fixed the discrepancy.

Fig 8 legend. Suggest indicating that the vertical dotted line refers to Cmax and indicate that this is sometime free and sometimes total (unless you can standardise this).

We have updated Figure 8 so that naloxone’s vertical dotted lines reflect free Cmax. We have also clarified in Figure 8 legend that the dotted lines for all drugs except norbuprenorphine reflects free Cmax; for norbuprenorphine, total Cmax.

Reviewer #2: This manuscript by Wu and colleagues provides a detailed study of the electrophysiologic effects of various opioid agonists and antagonists on multiple cardiac currents (expressed in heterologous systems) as well as human induced pluripotent stem-cell derived cardiomyocytes (pSC-CMs) While carefully performed and results considered in the context of clinical experiences, the findings are not unexpected (not all opioids demonstrate similar electrophysiologic effects). An attempt to explain the multichannel blocking activity on overall repolarization (prolongation or shortening) using an in-silico model would have strengthened the manuscript.

We thank Reviewer 2 for this comment. In silico prediction of drug-induced electrical disturbance would need to be considered in the context of clinical exposure levels still. For buprenorphine, norbuprenorphine, naltrexone, and naloxone - drugs with very large safety margins for all ionic currents, exposure near clinical levels would produce no perturbation of ion channel activities hence translate to no electrophysiological changes based on simulation. Therefore, in silico modeling would not alter the conclusions of our study.

Finally, this reviewer was disappointed by the overall conclusion that QTc prolongation with buprenorphine was not explained by any of the findings. It is also uncertain how the possible mechanism suggested (Opioid receptor activation) might apply to all opioid agonists, and not only buprenorphine.

If mechanisms of QT prolongation were initiated upon activation of opioid receptors, as results from Harris et al., 2017 suggested, then one would expect this mechanism to occur for all opioid receptor agonists. For example, one would hypothesize that QT prolongation by methadone would involve both the indirect mechanism (initiated upon opioid receptor activation) and the direct mechanism of this drug blocking hERG channels directly.

While we did not identify the cellular mechanisms whereby buprenorphine elicits QT prolongation in the present study, our results are important as they served to close many knowledge gaps in the literature that were mentioned in the “Introduction” and “Discussion” sections. Without filling these knowledge gaps, one would still hypothesize that QT prolongation by buprenorphine to occur by direct drug interaction with cardiac ion channels, which is the most common mechanism published to date. Therefore, our results provide a solid foundation for future research to focus on evaluating indirect and unconventional QT prolongation mechanism by opioids, and the release of original electrophysiology data upon publication allows readers to verify data analysis that led to our conclusions.

Specific comments:

The abstract leads the reader to believe that buprenorphine causes QTc prolongation. Since QTc prolongation is associated with Torsades, it is expected that buprenorphine would be linked to Torsades. However, the end of the abstract states that the is no evidence that buprenorphine use is associated with TdP. Thus, one is left with either 1) a non-hERG mediated effect eliciting QTc prolongation, or 2) a false-positive QTc finding. Should this second option be considered further?

A buprenorphine product indeed has been found to be associated with QTC prolongation in TQT studies (Harris et al., 2017). However, not all QTC prolonging drugs are torsadogenic. Therefore, we performed this study to understand whether buprenorphine shares similar electrophysiological properties as non-torsadogenic, QTC prolonging drugs like ranolazine, amiodarone, and verapamil to understand its risk. Reviewer 2 raised an important point – a potential false positive QTC results for BUTRANS. We find this scenario to be unlikely for the following reasons. First, there were two randomized, positive- and placebo-controlled clinical trials reported in the study. The chance of having both to identify a false positive QTC signal seems low. Second, QTC prolongation associated with buprenorphine was dose- and concentration-dependent. Third, QTC prolongation associated with buprenorphine was not observed when this drug was co-administered with naltrexone, an opioid receptor antagonist. These reasons, coupled with our study results, led us to hypothesize indirect and unconventional mechanism of QTC prolongation for buprenorphine.

We would like to clarify that we specifically stated that the mechanism is not due to buprenorphine directly blocking hERG channels. We have not ruled out whether or not this drug elicits intracellular signaling cascades within ventricular myocytes that then modulate hERG channel activity to delay ventricular repolarization. Our hypothesis regarding indirect effect of this drug on cardiac ion channels (e.g., by affecting neurotransmission and subsequent activation of neurotransmitter receptor-linked intracellular signaling cascades to delay repolarization) was presented in the manuscript.

Reviewer #3: The experimental parts of this manuscript were done in different assays. Major question: the title of this manuscript is not right based on following reason:

1. The authors have not analyzed the well concentration of buprenorphine in experimental setting, therefore the authors do not know if the dose in the well being so called “clinical free Cmax or Cmax level”. There are different several CNS or pain drugs which caused long QT in man, yet the doses in vitro assay are often much higher than its respectively free Cmax (>10-100 folders than its free Cmax): the reasons are complex (solubility, lipophilic, high in tissue, low in plasma, possible combining with ion trafficking etc..).

We thank Reviewer 3 for these comments. We did not perform concentration verification of drug solutions used in the in vitro patch clamp assays and iPSC-CM experiments. Thus, we do not know the actual drug concentrations exposed to cells overexpressing cardiac ion channels and iPSC-CMs. This is an important limitation of this manuscript that we have now pointed out in the “Discussion and Conclusions” section (p. 24, also shown below).

“An important limitation of this study is the lack of concentration analysis to confirm actual drug concentrations exposed to the recorded cells. Actual concentrations may differ from nominal drug concentrations due to issues related to stability, solubility, adsorption in the perfusion apparatus, and in the case of MEA experiments, the presence of serum proteins in the medium (51-53). Such possibility has led to the question whether the central conclusion of this study – that buprenorphine and norbuprenorphine do not directly block hERG channels with therapeutic dosing – can still be supported. Two lines of reasoning suggest “yes”. First, despite the uncertainty in in vitro drug concentrations, several retrospective studies have pointed to a hERG safety margin of 30 to 45 and above to identify drugs with low QT prolongation risk due to direct hERG channel block. Buprenorphine’s safety margin is far greater than that threshold and excess of 10,000. Even norbuprenorphine’s safety margin, determined using total rather than free Cmax, is excess of 1,600. Second, a previous study that compared drug loss for 39 compounds showed the most extensive loss to be 74% (51). Even with that level of drug loss, buprenorphine’s safety margin would still be 2600, whereas that for norbuprenorphine determined using total Cmax would still be 416. Therefore, the lack of concentration analysis in this study may affect the actual safety margin values for buprenorphine and norbuprenorphine. However, due to the magnitude of these values, the study conclusion - that acute and direct block of hERG channels by buprenorphine (and norbuprenorphine) is unlikely to occur with therapeutic dosing and cannot explain QT prolongation seen in Harris et al., 2017 (1) – is not altered.”

Reviewer alluded to the possibility of tissue accumulation for drug. In this case, free Cmax determined using plasma would be inappropriate to approximate exposure level that could lead to hERG channel interaction, and the use of free Cmax would result in a much larger hERG safety margin then if tissue level were used. However, buprenorphine has been studied in rat and sheep ventricular myocytes where accumulation could presumably occur. In sheep Purkinje fibers and rat papillary muscles, concentrations of buprenorphine required to reduce AP height, reduce maximum rate of rise (Vmax), and prolong APD were still in the micromolar concentration range (Boachie-Ansah et al., 1989), far higher than the subnanomolar clinical exposure level. Tissue accumulation is thus unlikely to explain the large safety margin for buprenorphine.

Reviewer also raised the possibility of hERG channel trafficking mediating QT prolongation. This mechanism is not due to direct drug block of hERG channels, as stated in our title for this manuscript. We agree that our patch clamp studies were not designed to evaluate trafficking mechanism. Clinical data in Harris et al., 2017 showed that co-administration of naltrexone prevented QT prolongation by buprenorphine. Whatever the underlying mechanism of QT prolongation not due to acute and direct hERG channel block, it seems likely that it is initiated by opioid receptor activation.

2. Doses in MEA assay could be lower than the target doses (in serum medium with protein).

Presence of serum in the recording medium can alter the effective drug concentration, with the direction of change in a drug-specific manner. Binding of the drug to the serum proteins may decrease the effective drug concentration, while increased drug solubility in the presence of the serum proteins may lead to the increased effective drug concentration as compared to a serum-free media. These effects have been examined in our prior study (Schocken et al., 2018). We have added this point to the limitation section in the “Discussion and Conclusions” (p. 24).

3. LQT and arrhythmias with the drug are often in overdose condition and also long term- use while in vitro assays are very short experiment protocols within minutes or a hour, which is not matching to the conditions in clinic.

In overdose scenario, systemic level of opioids could increase to a level that leads to direct drug interaction with hERG channels, as we have reported for loperamide (Sheng et al., 2017). However, this possibility does not explain buprenorphine induced QT prolongation reported by Harris et al., 2017.

If chronic exposure is necessary to induce QT prolongation, and QT change does not match PK profile of the drug, then this also argues against direct hERG channel block as the underlying mechanism.

4. There are clear effects of buprenorphine on HEREG, Na+ and MEA at so-called high dose

in this manuscript. These effects are very similar to other opium agonists such as Dextropropoxyphene or CNS drug Thioridazine , sertindole, ziprasidone etc..

Therefore , strongly suggest that authors to re-write the title and discussion and conclusion.

We thank Reviewer 3 for this comment. We and others have found that buprenorphine’s effects on cardiac ion channels and cardiac action potentials require drug concentration in the micromolar range – a level that is far above what is achieved with clinical dosing (steady state free Cmax of buprenorphine is < 1 nM; see “Materials and Methods”). For hERG current, the ratio between IC50 and free Cmax was in excess of 10000. Therefore, we concluded that this drug’s QT prolongation is not mediated by the drug molecule acutely and directly blocking hERG channels – a mechanism that is shared by all torsadogenic and QT prolonging drugs withdrawn from the market. We have further tested buprenorphine’s major metabolite, norbuprenorphine, on a panel of cardiac ion channels and iPSC-CMs, and ruled out the possibility that this metabolite blocks hERG channels acutely and directly with clinical dosing (the ratio of IC50 and total Cmax was greater than 1600). Since buprenorphine’s QT prolongation was not observed when this drug was co-administered with an opioid receptor antagonist naltrexone, the most parsimonious explanation is that this drug’s QT prolongation is mediated through opioid receptor activation.

Reviewer 3 stated that 4 drugs - dextropropoxyphene (or propoxyphene), thioridazine, sertindole, and ziprasidone - are like buprenorphine. We are unclear what electrophysiology features the Reviewer was using for this comparison. Our analysis, shown below, indicates that QT prolongation and incidence of arrhythmia by all 4 drugs likely involve acute and direct block of hERG channels, and that these drugs’ electrophysiological features are therefore distinct from those of buprenorphine (and norbuprenorphine).

1) Propoxyphene is an MOR associated with PR, QRS, QTC prolongation and TdP (https://www.fda.gov/drugs/drug-safety-and-availability/fda-drug-safety-communication-fda-recommends-against-continued-use-propoxyphene#references) (Adler et al., 2011). Propoxyphene’s IC50 for hERG current is 44.7 µM, and its major metabolite norpropoxyphene has an IC50 for hERG current of 33.2 µM (Ulens et al., 1999). Importantly, in the micromolar concentration range, both the parent and metabolite not only block hERG channels, but additionally increase the channels’ Na+ permeability. This latter effect would likely reduce the repolarizing influence due to hERG channel activation, since the reversal potential for hERG current would be depolarized. Propoxyphene’s Cmax following a single 65 mg oral dose is 0.1 �g/mL or 0.294 µM, based on a molecular weight of 339.47 g/mol (https://www.drugs.com/pro/propoxyphene-capsules.html). Given 80% plasma protein binding, free Cmax of propoxyphene is 0.059 µM, and the safety margin of this drug for hERG current is 759. Norpropoxyphene’s Cmax for is 0.2 �g/mL or 0.615 µM following a single dose of 65 mg, converted using a molecular weight of 325.4 g/mol. Protein binding of 75% have been reported for norpropoxyphene (Giacomini et al. 1980). The safety margin of norpropoxyphene is only 216. Note that safety margins of both propoxyphene and norpropoxyphene are much lower than those of buprenorphine and norbuprenorphine, and are conservatively estimated. The estimates are conservative because they are based on Cmax values following a single dose only. Accumulation of both the parent and metabolite is expected with a dosing regimen of every 4 hours and reported half-lives of 6-12 hrs and 30-36 hrs for propoxyphene and norpropoxyphene respectively, consistent with reported maximum concentrations of up to 0.85 ug/mL (propoxyphene) and 3 ug/mL (norpropoxyphene) with chronic use (https://www.citizen.org/article/petition-to-ban-all-propoxyphene-darvon-products/#_edn31). If steady state Cmax values were used to calculate safety margins of propoxyphene and norpropoxyphene, then safety margins for these two molecules would become smaller. For example, safety margins derived using the abovementioned maximum concentrations (accounting for protein binding) would be 262 for propoxyphene and 44 for norpropoxyphene. Direct hERG channel block following propoxyphene use due to its metabolite thus cannot be ruled out.

2) Ziprasidone is an antipsychotic agent. For its Cmax, we used data from Geodon®. At a maximum dose of 80 mg BID, steady state Cmax of ziprasidone is 202 ng/mL (page 28 of ClinPharm review). Based on a molecular weight of 412.94 g/mol (for free base), Cmax converts to 0.49 µM. Given 99% protein binding, ziprasidone’s free Cmax is 5 nM. Zaprasidone’s IC50 for hERG current is 120 nM (Su et al., 2006). The safety margin of this drug for hERG current is 24, much smaller than the safety margins of buprenorphine and norbuprenorphine. Based on the close proximity between in vitro IC50 and clinical exposure levels, that ziprasidone may reach a systemic level with clinical dosing to block hERG channels directly cannot be ruled out.

3) We were unable to identify drug label information for thioridazine, a first generation antipsychotic drug that was withdrawn because it caused severe cardiac arrhythmias. Therefore, information from the literature was used. The most potent IC50 for thioridazine on hERG current is 33 nM (Crumb et al., 2013). Redfern et al., 2003 (Supplemental data, p. 20) reported that the free Cmax of this drug ranged from 208 to 979 nM. Thus, the safety margin for of this drug is 0.03 to 0.15, much lower than the safety margins for buprenorphine and norbuprenorphine and suggests the possibility of direct drug interaction with hERG channels with clinical dosing.

4) Sertindole is an antipsychotic medication. The IC50 of this drug is protocol-dependent, ranging from 3 to 14 nM (Rampe at al., 1998). Free Cmax of this drug ranged from 0.2 to 1.59 nM. Using the more potent IC50 value, the safety margin of this drug is estimated to be 1.9 to 15, much lower than those of buprenorphine and norbuprenorphine and suggests the possibility of direct drug interaction with hERG channels with clinical dosing.

The 4 drugs that Reviewer 3 mentioned are therefore likely to affect cardiac repolarization by directly blocking hERG channels. These 4 drugs are similar to methadone that was also studied in the present manuscript and differ from buprenorphine and norbuprenorhine.

We believe that our title is supported by our data and rationale provided in this rebuttal letter. Hence, it is not changed. We have updated our “Discussion and Conclusions” section to highlight limitation of the present study per Reviewer’s comment.

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Reviewer #1: Yes: Dr Matt Skinner Reviewer #2: No

Reviewer #3: No

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Daniel M Johnson

14 Oct 2020

Mechanisms of QT prolongation by buprenorphine cannot be explained by direct hERG channel block

PONE-D-20-22214R1

Dear Dr. Wu,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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PLOS ONE

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Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

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Reviewer #2: This manuscript has been revised appropriately.

The information provided should be appreciated by readers of PLOSOne.

Reviewer #3: the aurthors now made responses my my comments in details with detail scientific infornations.

The manuscript is now well written.

**********

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Reviewer #1: Yes: Dr Matt Skinner

Reviewer #2: No

Reviewer #3: No

Acceptance letter

Daniel M Johnson

28 Oct 2020

PONE-D-20-22214R1

Mechanisms of QT prolongation by buprenorphine cannot be explained by direct hERG channel block

Dear Dr. Wu:

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