Literature DB >> 30633366

The Cardiovascular Effects of a Meal: J-Tpeak and Tpeak -Tend Assessment and Further Insights Into the Physiological Effects.

Jörg Täubel1,2, Georg Ferber3, Leen Van Langenhoven1, Teresa Del Bianco1, Sara Fernandes1, Dilshat Djumanov1, Jørgen K Kanters4, Claus Graff5, A John Camm2.   

Abstract

Meal intake leads to a significant and prolonged increase in cardiac output to supply the splanchnic vasculature. A meal is associated with sympathetic activation of the cardiovascular system, and food ingestion is correlated with an increase in heart rate, an increase in cardiac stroke volume, and QTc interval shortening for up to 7 hours. Given the complexity of the system, one or several of many mechanisms could explain this observation. The shortening of the QTc interval was correlated with a rise of C-peptide following food ingestion, but the mechanisms by which C-peptide may be involved in the modulation of cardiac repolarization are still unknown. This shortening of the myocardial action potential caused by the ingestion of food was further investigated in the present study by measuring the QRS, J-Tpeak , and Tpeak -Tend intervals in search of further clues to better understand the underlying mechanisms. A retrospective analysis was conducted based on data collected in a formal thorough QT/QTc study in which 32 subjects received a carbohydrate-rich "continental" breakfast, moxifloxacin without food, and moxifloxacin with food. We assessed the effect of food on T-wave morphology using validated algorithms for measurement of J-Tpeak and Tpeak -Tend intervals. Our findings demonstrate that a standardized meal significantly shortened J-Tpeak for 4 hours after a meal and to a much lesser extent and shorter duration (up to 1 hour) prolonged the Tpeak -Tend and QRS intervals. This suggests that the QTc shortening occurs mainly during phase 2 of the cardiac action potential. As there was no corresponding effect on Tpeak -Tend beyond the first hour, we conclude that a meal does not interfere with the outward correcting potassium channels but possibly with Ca2+ currents. An effect on mainly Ca2+ aligns well with our understanding of physiology whereby an increase in stroke volume, as observed after a meal, is associated with changes in Ca2+ cycling in and out of the sarcoplasmic reticulum during cardiac myocyte contraction.
© 2019, The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology.

Entities:  

Keywords:  IKr; IKs; J-Tpeak; Tpeak-Tendzzm321990; calcium cycling; cardiac electrophysiology; cardiac repolarization; electrocardiogram after food; ion channel effects

Year:  2019        PMID: 30633366      PMCID: PMC6590239          DOI: 10.1002/jcph.1374

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


The effect of food on QTc has been reported in different studies.1, 2, 3 A standardized meal induces a decrease in the heart rate corrected QTcF of 6 to 8 milliseconds, 1.5 to 4 hours after food intake correlated with an increase in heart rate.1 This effect was shown to be well reproducible in terms of both magnitude of the effect and time course.4 The effects of food leading to a change in QTc are the result of physiological effects on the heart and not the result of drug‐induced ion channel blockade, which makes food challenge an attractive alternative to moxifloxacin as a positive control in thorough electrocardiographic studies. The effect of food on QTcF to demonstrate assay sensitivity in early‐stage clinical studies has been recognized as a valuable tool to increase confidence in the results of exposure‐response analyses of early phase I studies to request a waiver of the thorough QT/QTc study regulatory requirement.5 However, the underlying mechanisms of such effect remain unclear. C‐peptide, which is released in equimolar amounts to insulin but stays in circulation for longer periods due to a longer circulatory elimination half‐life has emerged as a potential effector for the QTc shortening observed following ingestion of a meal. It appears to antagonize the QT prolonging effects of glucose,6 while insulin at physiological levels was shown to have no effect on QTc.7 In patients with type 1 diabetes with neuropathy, administration of C‐peptide was also shown to shorten the QTc.8 The physiological response to a meal includes a significant increase in cardiac output (CO) to supply the splanchnic vasculature. Work by other groups suggests that the increase in CO is the result of a heart rate increase and an increase in stroke volume. The increase in CO results from an autonomic response, and elevated levels of norepinephrine have been observed during the postprandial period.9 However, the QTc shortening effect of food goes well beyond the postprandial period, during which elevated levels of catecholamine are found. This suggests that other mechanisms may play a role in regulating repolarization. Johannesen et al10 hypothesized that the electrocardiogram (ECG) can differentiate the effects of ion channel drug blockade by separate analysis of early repolarization (global J‐Tpeak) and late repolarization (global Tpeak‐Tend). Results have shown that human Ether‐à‐go‐go‐Related Gene potassium channel block equally prolongs J‐Tpeak and Tpeak‐Tend intervals, whereas the addition of calcium or late sodium current block preferentially shortens the J‐Tpeak interval. Following a similar approach, in this study, we aim to better understand which ion channels may be involved in the meal response and better characterize the ECG signature and impact of food on T‐wave morphology.

Materials and Methods

Study Design

The study was approved by the local National Health Service Ethics Committee (London Surrey‐Borders, UK) and the Medicines and Healthcare Products Regulatory Authority and was conducted in accordance with Good Clinical Practice and the Declaration of Helsinki. The study population consisted of 32 healthy, nonsmoking, white (13; 7 males and 6 females) and Asian (19; 11 males and 8 females) subjects. The study was designed as a single‐center, randomized, placebo‐ and positive‐controlled, crossover study. Eligible subjects were randomized to 1 of 8 sequences of the treatments, insulin euglycemic clamp, a carbohydrate‐rich “continental” breakfast, a calorie‐reduced breakfast, a single dose of moxifloxacin 400 mg, a single dose of moxifloxacin 400 mg with a carbohydrate‐rich continental breakfast, and placebo. The calorific content of the carbohydrate‐rich continental breakfast and calorie‐reduced breakfast, as well as the ECG assessments, are described in Täubel et al.7 Breakfasts were provided 30 minutes prior to the scheduled dosing time (time zero) and were to be fully eaten by 10 minutes before dosing. Subjects were provided with lunch at 7 hours after time zero. The retrospective analysis reported here is based on the data from the following treatment sequences: a carbohydrate‐rich continental breakfast, moxifloxacin 400 mg, moxifloxacin 400 mg administered with a carbohydrate‐rich continental breakfast, and placebo; the other arms are described elsewhere.7 Subjects participating in the study attended for screening and 2 treatment periods (periods 1 and 2) separated by a 3‐day washout interval. Each period consisted of a baseline ECG day (day –1) where no treatments were administered and only standardized meals were given, and treatment days (days 1, 2, and 3).7 The ECG and samples for pharmacokinetics (PK)/pharmacodynamics analysis on the treatment days were taken at the corresponding clock time points as on the baseline day.

Statistical Analyses

ECG Recording and Data Processing

Twelve‐lead ECGs were recorded at Richmond Pharmacology Ltd. using a MAC1200® (500‐Hz sampling frequency, 4.88‐μV amplitude least significant bit resolution, GE Healthcare, Milwaukee, Wisconsin) recorder connected via a fixed network connection to the MUSE® Cardiology Information System. ECG recordings were made at the following time points: before the dose (time zero) and 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, and 6.0 hours after the dose on all days 3 after the subjects had been resting in a supine position for at least 10 minutes. At each time point, the ECGs were recorded in triplicate and performed at approximately 1‐minute intervals. Each ECG recording lasted 10 seconds. Repeat ECGs were performed until at least three 10‐second ECG recordings per scheduled time point met the predefined quality criteria to enable reading and analyzing at least 5 complexes per derivation. All ECGs recorded during the study were stored electronically at the MUSE information system. Data were processed by the Department of Health Science and Technology of the Faculty of Medicine, University of Aalborg (Denmark), using the commercially available GE Healthcare Marquette 12SL ECG analysis program and the US Food and Drug Administration 510(k)‐cleared GE research package QT GuardPlus, which uses validated algorithms for measurement.11, 12 This software uses the simultaneous vector magnitude of all 12 leads to determine the onset and offset of the QRS complex, as well as the offset of the T wave. The vector magnitude is a global single‐lead representation of all 12 leads that did not display a biphasic (pos/neg or neg/pos) T wave. In cases with clear biphasic T waves in some of the 12 leads, the vector magnitude representation may have displayed 2 obvious positive peaks in the T wave. In these cases, the algorithm used the second peak of the T wave, which is closest to the end of the T wave. The end of the T wave is determined by the method of small windows.11, 12

Heart Rate Correction of J‐Tpeak and Baseline Correction

For accounting for the influence of heart rate (HR) on the T wave, a correction to J‐Tpeak was applied10, 13, 14 as HR variation is expected only for early repolarization (J‐Tpeak). A previous study including a pooled analysis of subjects from 34 thorough QT studies, has shown that at resting HRs Tpeak‐Tend exhibits minimal HR dependency and only J‐Tpeak, and QT showed a substantial (>10%) HR variation.15 In analogy to the situation with QTc, a study‐specific correction was considered necessary, since both J‐Tpeak and HR are affected.16 The correction term β of 0.51 was derived from a linear mixed model regressing the logarithmic transformation of J‐Tpeak on the logarithmic transformation of RR, using the predose samples only. This correction term is further validated by the small difference with the correction term reported by Johannesen et al.10 Furthermore, the sum of the HR‐corrected J‐Tpeak, QRS interval, and Tpeak‐Tend gave an estimated QT interval that, on average, differed from QTcF by only 0.74 milliseconds, with an upper 1‐sided 90% confidence interval (CI) of only 0.79 milliseconds. The baseline‐corrected variables (ΔQRS, ΔJ‐TpeakcS, and ΔTpeak‐Tend) were obtained by subtracting the predose value of QRS, the HR‐corrected J‐Tpeak, and Tpeak‐Tend, calculated by time point, subject, and period, from the postdose corrected value, matched by subject, time point, and period.

Mixed Models

The time point analysis was based on the change of QRS, J‐TpeakcS, and Tpeak‐Tend from the time‐matched baseline (outcome variables: ΔQRS, ΔJ‐TpeakcS, and ΔTpeak‐Tend). The time point analysis involved 1 mixed model for each outcome variable (ΔQRS, ΔJ‐TpeakcS, and ΔTpeak‐Tend), with the interaction between treatment and time point as fixed effect and scaled baseline as covariate; the random term included correlated intercepts and slopes for the baseline. This analysis aimed to ascertain whether the time course of the ECG markers differed between treatment groups (moxifloxacin fasted, moxifloxacin combined with a high‐carbohydrate breakfast, and a carbohydrate breakfast vs placebo). The mixed models were fitted with the package lmerTest (version 3.0‐0). Analyses were carried out using R (version 3.4.3; R Core Team, 2017).

Results

This study included 32 subjects. There were no unexpected treatment‐related adverse events.

Confirmation of Assay Sensitivity

As previously described,17 the largest QTcF change from baseline after a 400‐mg oral dose of moxifloxacin in the fed state was observed at 4 hours with a peak value of 11.6 milliseconds (2‐sided 90%CI, 9.1–14.1), while the largest QTcF change observed in the fasted state was 14.4 milliseconds (90%CI, 11.9–16.8) and occurred at 2.5 hours after the dose. For the continental breakfast, the maximum QTcF shortening was observed at 3.5 hours after the dose with a value of 7.9 milliseconds (2‐sided 90%CI, –10.4 to –5.5).7

Time Point Analysis

The descriptive statistics ofΔQT, ∆QRS, ΔJ‐TpeakcS, and ΔTpeak‐Tend (averages and 90%CIs) are presented in Figure 1. The mixed‐model analysis by time point for each outcome variable is described below.
Figure 1

Averages by time point and treatment group of the observed values of ΔQT (A), ΔQRS (B), ΔJ‐TpeakcS (C), and ΔTpeak‐Tend (D), as measured from the participants. The 90% confidence intervals are shown as vertical lines.

Averages by time point and treatment group of the observed values of ΔQT (A), ΔQRS (B), ΔJ‐TpeakcS (C), and ΔTpeak‐Tend (D), as measured from the participants. The 90% confidence intervals are shown as vertical lines.

QRS Interval

∆QRS did not significantly change from baseline in neither group (Table 1). A high‐carbohydrate breakfast and moxifloxacin with a high‐carbohydrate breakfast showed an immediate, small, short‐lived positive difference from placebo 15 to 30 minutes after time zero, with a difference between the estimates of 2.72 milliseconds at 15 minutes (P < .01) and 2.40 milliseconds at 30 minutes (P < .05) for a high‐carbohydrate breakfast, and a difference of 3.04 milliseconds at 15 minutes (P < .001) for moxifloxacin with a high‐carbohydrate breakfast (Table 2). This suggests that the change in QRS is associated with the meal and not with moxifloxacin, as moxifloxacin has no effect when given fasted.
Table 1

Output of the Mixed Model on ∆QRS (Contrasts on Baseline)

ParameterEstimateStandard ErrorDegrees of Freedom (df)T Value P Value5%CI95%CI
Baseline−5.930.2834.04−21.24< .001−6.44−5.52
TreatmentTime point
PlaceboH 0.25−0.631.2441.28−0.51.61−2.711.54
H 0.5−0.271.2441.18−0.22.83−2.191.99
H 0.75−0.21.2441.19−0.16.87−1.851.74
H 1−0.591.2441.19−0.47.64−2.51.55
H 1.5−1.181.2441.12−0.95.35−3.330.92
H 2−1.071.2441.24−0.86.40−3.071.15
H 2.5−0.671.2441.29−0.54.59−2.651.75
H 3−0.821.2441.11−0.66.51−2.671.06
H 3.5−0.121.2441.12−0.10.92−1.962.13
H 4−1.151.2441.01−0.92.36−3.291.18
H 60.551.2441.290.44.66−1.432.48
MoxifloxacinH 0.25−1.251.2441.41−1.00.32−3.260.86
H 0.5−0.151.2441.21−0.12.91−2.041.94
H 0.75−0.171.2441.38−0.14.89−2.142.40
H 1−0.701.2541.52−0.56.58−2.661.41
H 1.5−1.331.2441.41−1.07.29−3.430.69
H 2−0.201.2441.34−0.16.87−2.572.11
H 2.5−1.521.2441.34−1.23.23−3.700.57
H 3−0.391.2441.31−0.31.76−2.411.62
H 3.5−0.931.2441.32−0.75.46−2.860.94
H 4−1.371.2441.43−1.10.28−3.060.74
H 60.341.2441.30.27.79−2.052.34
High‐carbohydrate breakfastH 0.251.501.2441.291.20.24−0.383.33
H 0.51.531.2441.171.24.22−0.163.72
H 0.751.341.2441.361.07.29−0.483.40
H 1−0.311.2441.35−0.25.80−2.482.16
H 1.5−0.101.2441.37−0.08.93−2.032.33
H 2−1.151.2441.36−0.92.36−3.011.24
H 2.5−1.121.2441.24−0.90.37−3.570.82
H 3−0.921.2441.49−0.74.46−3.091.00
H 3.5−0.901.2441.39−0.72.48−2.871.91
H 4−0.891.2441.46−0.72.48−3.051.26
H 60.621.2441.210.50.62−1.53.05
Moxifloxacin + high‐carbohydrate breakfastH 0.252.411.2441.171.94.060.474.73
H 0.51.181.2441.140.95.35−1.023.60
H 0.751.021.2441.150.82.42−1.073.28
H 10.441.2441.030.36.72−1.363.09
H 1.5−1.551.2441.08−1.25.22−3.590.65
H 2−0.021.2441.27−0.01.99−2.092.12
H 2.5−1.601.2441.18−1.29.20−3.890.88
H 3−1.521.2441.28−1.22.23−3.690.20
H 3.5−0.801.2441.20−0.65.52−2.931.86
H 4−2.171.2441.03−1.75.09−4.410.01
H 6−0.691.2441.20−0.55.58−2.541.35
Table 2

Linear Contrasts Between Placebo and Treatment Groups Derived From the Mixed Model on ∆QRS

Parameters
ContrastTime PointGroupEstimateStandard ErrorT Value P Value
PlaceboH 0.25High‐carbohydrate breakfast2.720.703.90<.01
Moxifloxacin−0.020.70−0.04>0.99
Moxifloxacin + high‐carbohydrate breakfast3.040.704.38<.001
H 0.5High‐carbohydrate breakfast2.400.703.45<.05
Moxifloxacin0.720.701.03>0.99
Moxifloxacin + high‐carbohydrate breakfast1.450.692.09.66
H 0.75High‐carbohydrate breakfast2.130.703.06.06
Moxifloxacin0.620.700.89>0.99
Moxifloxacin + high‐carbohydrate breakfast1.810.692.61.24
H 1High‐carbohydrate breakfast0.870.701.24.99
Moxifloxacin0.480.700.69>0.99
Moxifloxacin + high‐carbohydrate breakfast1.030.701.48.98
H 1.5High‐carbohydrate breakfast0.480.700.69>0.99
Moxifloxacin−0.150.70−0.22>0.99
Moxifloxacin + high‐carbohydrate breakfast−0.970.70−1.39.99
H 2High‐carbohydrate breakfast−0.080.70−0.12>0.99
Moxifloxacin0.870.701.24.99
Moxifloxacin + high‐carbohydrate breakfast1.050.691.51.97
H 2.5High‐carbohydrate breakfast−0.450.70−0.64>0.99
Moxifloxacin−0.850.70−1.22.99
Moxifloxacin + high‐carbohydrate breakfast−0.930.70−1.34.99
H 3High‐carbohydrate breakfast−0.690.70−0.98>0.99
Moxifloxacin−0.160.70−0.23>0.99
Moxifloxacin + high‐carbohydrate breakfast−0.70.70−1.00>0.99
H 3.5High‐carbohydrate breakfast−0.180.70−0.26>0.99
Moxifloxacin−0.80.70−1.15.99
Moxifloxacin + high‐carbohydrate breakfast−0.680.70−0.97>0.99
H 4High‐carbohydrate breakfast1.440.702.05.69
Moxifloxacin0.960.701.37.99
Moxifloxacin + high‐carbohydrate breakfast−1.020.70−1.47.98
H 6High‐carbohydrate breakfast0.660.700.95>0.99
Moxifloxacin0.380.700.55>0.99
Moxifloxacin + high‐carbohydrate breakfast−1.240.70−1.78.89
Output of the Mixed Model on ∆QRS (Contrasts on Baseline) Linear Contrasts Between Placebo and Treatment Groups Derived From the Mixed Model on ∆QRS

J‐Tpeakcs Interval

A pronounced shortening of ∆J‐TpeakcS was observed with the ingestion of a standardized carbohydrate‐rich breakfast. The estimated changes of ∆J‐TpeakcS with food were consistently and significantly different from baseline starting 15 minutes after time zero (–9.52 milliseconds; 90%CI, –14.93 to –3.34) up to 4 hours after the dose (–9.39 milliseconds; 90%CI, –15.33 to –4.04), denoting 45 minutes to 4.5 hours after starting a meal, as the meal was started 30 minutes before dosing/time zero (Table 3). The estimate of ΔJ‐TpeakcS with moxifloxacin combined with food also significantly shortened until 2.5 hours after the dose (–6.55 milliseconds; 90%CI, –12.89 to –0.14), started to lengthen up to 6 hours, and exceeded placebo only 6 hours after the dose, showing a different tendency of the one observed for breakfast alone (Table 4). It is important to note that the PK of moxifloxacin is affected by a predose meal, leading to lower concentrations of moxifloxacin in plasma for the first 3 hours. The difference becomes small from the 4‐hour time point onward.
Table 3

Output of the Mixed Model of ∆J‐Tpeak (Contrasts on Baseline)

ParameterEstimateStandard ErrorDegrees of Freedom (df)T Value P Value5%CI95%CI
Baseline−16.411.3231.41−12.43<.001−18.81−14.02
TreatmentTime point
PlaceboH 0.25−0.353.3333.37−0.11.92−5.855.68
H 0.5−0.13.3433.49−0.03.98−5.685.72
H 0.75−0.293.3433.75−0.09.93−6.135.53
H 10.473.3433.520.14.89−5.136.58
H 1.5−0.343.3433.5−0.1.92−5.95.05
H 2−0.373.3433.58−0.11.91−5.915.46
H 2.5−1.273.3433.74−0.38.71−6.874.98
H 3−1.253.3433.56−0.38.71−6.873.68
H 3.5−2.073.3333.44−0.62.54−6.874.08
H 4−1.583.3333.47−0.47.64−7.414.81
H 6−4.693.3433.48−1.41.17−10.091.14
MoxifloxacinH 0.251.163.3333.410.35.73−4.496.9
H 0.55.83.3433.641.74.090.2611.28
H 0.756.73.3533.92.050.9113.07
H 18.013.3433.752.4<.052.0013.87
H 1.57.233.3433.832.16<.051.4113.68
H 26.623.3433.61.98.060.3312.24
H 2.57.533.3433.812.25<.051.4414.15
H 36.33.3433.71.89.070.5011.46
H 3.55.693.3433.561.71.10.6311.35
H 45.943.3433.61.78.080.2611.31
H 61.43.3433.710.42.68−4.736.93
High‐carbohydrate breakfastH 0.25−9.523.3433.6−2.85<.01−14.93−3.34
H 0.5−9.483.3433.61−2.84<.01−14.35−3.27
H 0.75−9.783.3433.6−2.93<.01−15.67−4.19
H 1−8.583.3433.82−2.57<.05−14.14−2.19
H 1.5−9.383.3433.76−2.81<.01−15.21−3.4
H 2−9.323.3433.62−2.79<.01−14.45−3.36
H 2.5−10.283.3433.65−3.08<.01−16.6−5.27
H 3−9.13.3433.62−2.73<.05−15.18−3.82
H 3.5−10.113.3433.69−3.03<.01−15.42−3.16
H 4−9.393.3433.63−2.81<.01−15.33−4.04
H 6−3.853.3433.68−1.15.26−9.982.82
Moxifloxacin + high‐carbohydrate breakfastH 0.25−10.653.3433.55−3.19<.01−16.32−5.01
H 0.5−11.073.3333.46−3.32<.01−17.7−5.21
H 0.75−9.673.3333.45−2.9<.01−15.33−3.74
H 1−9.723.3433.59−2.91<.01−15.04−3.71
H 1.5−7.383.3333.44−2.21<.05−12.74−1.28
H 2−7.013.3433.6−2.1<.05−12.56−1.04
H 2.5−6.553.3433.58−1.96.06−12.89−0.14
H 3−5.083.3333.48−1.52.14−11.07−0.13
H 3.5−4.693.3433.57−1.4.17−11.021.64
H 4−1.613.3433.5−0.48.63−7.393.76
H 61.723.3333.450.52.61−3.86.64
Table 4

Linear Contrasts Between Placebo and Treatment Groups Derived From the Mixed Model on ∆J‐Tpeak

Parameters
ContrastTimepointGroupEstimateStandard ErrorT Value P Value
PlaceboH 0.25High‐carbohydrate breakfast−9.161.36−6.74<.001
Moxifloxacin1.511.351.11.9998
Moxifloxacin + high‐carbohydrate breakfast−10.291.35−7.6<.001
H 0.5High‐carbohydrate breakfast−9.381.36−6.89<.001
Moxifloxacin4.261.363.13.0534
Moxifloxacin + high‐carbohydrate breakfast−10.971.35−8.1<.001
H 0.75High‐carbohydrate breakfast−9.481.36−6.97<.001
Moxifloxacin6.991.355.17<.001
Moxifloxacin + high‐carbohydrate breakfast−9.371.35−6.92<.001
H 1High‐carbohydrate breakfast−10.691.37−7.82<.001
Moxifloxacin7.541.365.55<.001
Moxifloxacin + high‐carbohydrate breakfast−10.191.35−7.53<.001
H 1.5High‐carbohydrate breakfast−9.051.36−6.66<.001
Moxifloxacin7.571.355.59<.001
Moxifloxacin + high‐carbohydrate breakfast−7.051.35−5.21<.001
H 2High‐carbohydrate breakfast−8.951.36−6.58<.001
Moxifloxacin6.991.365.16<.001
Moxifloxacin + high‐carbohydrate breakfast−6.641.35−4.9<.001
H 2.5High‐carbohydrate breakfast−91.37−6.59<.001
Moxifloxacin8.81.356.5<.001
Moxifloxacin + high‐carbohydrate breakfast−5.281.36−3.88<.01
H 3High‐carbohydrate breakfast−7.851.36−5.77<.001
Moxifloxacin7.551.355.58<.001
Moxifloxacin + high‐carbohydrate breakfast−3.831.35−2.83.135
H 3.5High‐carbohydrate breakfast−9.681.36−7.11<.001
Moxifloxacin7.771.355.75<.001
Moxifloxacin + high‐carbohydrate breakfast−2.611.35−1.93.7936
H 4High‐carbohydrate breakfast−9.461.37−6.92<.001
Moxifloxacin5.881.364.32<.001
Moxifloxacin + high‐carbohydrate breakfast−0.041.36−0.03>0.9999
H 6High‐carbohydrate breakfast0.841.370.61>0.9999
Moxifloxacin6.091.364.49<.001
Moxifloxacin + high‐carbohydrate breakfast6.411.364.72<.001
Output of the Mixed Model of ∆J‐Tpeak (Contrasts on Baseline) Linear Contrasts Between Placebo and Treatment Groups Derived From the Mixed Model on ∆J‐Tpeak Following administration of moxifloxacin in the fasted state, ΔJ‐TpeakcS increased steadily over time, with significant changes starting from 30 minutes (5.80 milliseconds; 90%CI, 0.26–11.28). The estimated changes of ∆J‐TpeakcS with moxifloxacin were consistently and significantly different from placebo from 45 minutes after dosing up to 6 hours (Table 4).

Tpeak‐Tend Interval

Moxifloxacin administered in a fasting condition clearly prolonged ∆Tpeak‐Tend. The increase of ∆Tpeak‐Tend was significantly higher than baseline from 2.5 hours (5.36 milliseconds; 90%CI, 1.02–9.49) up to 6 hours (7.50 milliseconds; 90%CI, 2.82–11.46). However, if given after breakfast, it was not associated with ∆Tpeak‐Tend prolongation until 6 hours after the dose (6.47 milliseconds; 90%CI, 2.32–10.05), indicating that the addition of food reduced the effects of moxifloxacin (Table 5). The linear contrasts with placebo estimates confirm this pattern, showing consistently higher estimates of ∆Tpeak‐Tend with moxifloxacin than placebo up to 6 hours and nonsignificant differences when food is added until 2 hours (Table 6). This could be the result of changes in the PK profile or a true increase of the moxifloxacin‐induced QT prolongation.
Table 5

Output of the Mixed Model of ∆Tpeak‐Tend (Contrasts on Baseline)

ParameterEstimateStandard ErrorDegrees of Freedom (df)T Value P Value5%CI95%CI
Baseline−9.720.5830.12−16.88<.001−10.75−8.55
TreatmentTime point
PlaceboH 0.250.282.5332.160.11.91−3.764.79
H 0.50.162.5332.080.06.95−3.784.63
H 0.751.082.5332.040.43.67−2.895.58
H 11.242.5332.10.49.63−3.035.45
H 1.50.932.5332.10.37.71−3.315.48
H 20.132.5332.080.05.96−4.024.63
H 2.50.072.5332.110.03.98−3.974.67
H 30.332.5332.120.13.90−3.544.09
H 3.51.712.5332.170.68.50−2.356.80
H 40.892.5332.130.35.73−3.385.10
H 62.792.5332.251.10.28−1.187.07
MoxifloxacinH 0.25−0.542.5332.18−0.21.83−4.753.49
H 0.52.762.5332.141.09.28−1.247.40
H 0.754.392.5332.061.74.090.529.00
H 14.332.5332.131.71.10−0.138.47
H 1.54.222.5332.11.67.10−0.218.05
H 24.112.5332.121.63.11−0.538.46
H 2.55.362.5332.122.12<.051.029.49
H 34.962.5332.161.96.060.699.04
H 3.55.292.5332.22.09<.051.49.06
H 45.852.5332.122.32<.051.729.71
H 67.52.5332.252.96<.012.8211.46
High‐carbohydrate BreakfastH 0.252.722.5332.241.07.29−1.336.61
H 0.51.552.5332.270.61.55−2.176.06
H 0.751.742.5332.180.69.50−2.476.07
H 10.052.5332.20.02.99−4.225.02
H 1.5−0.12.5332.16−0.04.97−4.264.42
H 2−0.922.5332.16−0.36.72−4.943.99
H 2.50.012.5332.160>.99−4.624.04
H 3−0.852.5332.14−0.34.74−5.182.84
H 3.5−0.972.5332.16−0.38.70−4.854.15
H 40.012.5332.150>.99−4.394.69
H 61.362.5332.160.54.59−3.066.12
Moxifloxacin + high‐carbohydrate breakfastH 0.252.392.5332.230.94.35−1.466.88
H 0.52.512.5332.20.99.33−2.346.89
H 0.752.352.5332.150.93.36−1.937.15
H 12.792.5332.171.11.28−0.897.82
H 1.51.832.5332.150.72.47−2.146.63
H 22.832.5332.111.12.27−1.227.48
H 2.52.332.5332.150.92.36−2.276.98
H 32.72.5332.11.07.29−1.626.51
H 3.54.142.5332.131.64.11−0.409.22
H 44.212.5332.161.66.11−0.478.25
H 66.472.5332.152.56<.052.3210.05
Table 6

Linear Contrasts Derived From the Mixed Model on ΔTpeak‐Tend

Parameters
ContrastTime PointGroupEstimateStandard ErrorT Value P Value
Placebo0.25High‐carbohydrate breakfast2.430.972.51.31
Moxifloxacin−0.820.97−0.85>.99
Moxifloxacin + high‐carbohydrate breakfast2.110.972.18.58
0.5High‐carbohydrate breakfast2.360.972.43.36
Moxifloxacin2.60.972.69.19
Moxifloxacin + high‐carbohydrate breakfast2.350.972.43.37
0.75High‐carbohydrate breakfast1.630.971.68.94
Moxifloxacin3.310.963.43<.05
Moxifloxacin + high‐carbohydrate breakfast2.240.972.32.46
1High‐carbohydrate breakfast−1.190.97−1.23>.99
Moxifloxacin3.090.963.2<.05
Moxifloxacin + high‐carbohydrate breakfast1.560.971.61.96
1.5High‐carbohydrate breakfast−0.060.97−0.06>.99
Moxifloxacin3.280.963.4<.05
Moxifloxacin + high‐carbohydrate breakfast0.90.970.93>.99
2High‐carbohydrate breakfast−0.080.97−0.08>.99
Moxifloxacin3.970.974.12<.01
Moxifloxacin + high‐carbohydrate breakfast3.670.973.8<.01
2.5High‐carbohydrate breakfast−0.060.97−0.07>.99
Moxifloxacin5.280.975.47<.001
Moxifloxacin + high‐carbohydrate breakfast3.230.963.35<.05
3High‐carbohydrate breakfast−0.210.97−0.22>.99
Moxifloxacin4.630.974.8<.001
Moxifloxacin + high‐carbohydrate breakfast2.370.972.46.34
3.5High‐carbohydrate breakfast−1.710.97−1.77.90
Moxifloxacin3.580.963.71<.01
Moxifloxacin + high‐carbohydrate breakfast3.40.973.52<.05
4High‐carbohydrate breakfast0.090.970.09>.99
Moxifloxacin5.940.976.15<.001
Moxifloxacin + high‐carbohydrate breakfast4.290.974.44<.001
6High‐carbohydrate breakfast0.520.970.53>.99
Moxifloxacin4.710.964.88<.001
Moxifloxacin + high‐carbohydrate breakfast4.650.974.81<.001
Output of the Mixed Model of ∆Tpeak‐Tend (Contrasts on Baseline) Linear Contrasts Derived From the Mixed Model on ΔTpeak‐Tend

Discussion

In this study, we retrospectively assessed the effects of food on the QRS, J‐Tpeak, and Tpeak‐Tend intervals by using data from a previously published thorough QT/QTc study in which moxifloxacin was administered as a positive control confirming assay sensitivity of the study.7, 17 Moxifloxacin is known as a blocker of the inward rectifying potassium channels Ikr and Iks.18 After a single 400‐mg oral dose has previously been reported to cause a modest (10–14 milliseconds) prolongation of the QT interval, J‐Tpeak, and Tpeak‐Tend intervals.19 Our results from this study are aligned with this ECG signature. Interactions of feeding and moxifloxacin‐induced QTcF prolongation not secondary to changes in the PK profile were first reported by Bloomfield et al.20 Our previous analysis of the QTcF interval had shown an apparent reduction in QTcF prolongation when moxifloxacin was given after breakfast,17 but it is unclear how much of that effect is attributable to the altered PK profile that occurs when moxifloxacin is given after a meal. An interaction between the QT shortening effects of food on the cardiac action potential and the QT prolonging block of Ikr/Iks after moxifloxacin may exist even if the underlying mechanisms were different. The main objective of this study was to further investigate the effects of a meal on the ECG utilizing an automated algorithm allowing the assessments of change to QRS, J‐Tpeak, and Tpeak‐Tend. This analysis revealed that a meal leads to a prompt, lasting, and significant shortening of J‐Tpeak in both male and female volunteers. We did not see effects on QRS and Tpeak‐Tend beyond a small prolongation of both intervals during the first hour after starting a meal. It is well recognized that eating a meal is associated with changes in the cardiovascular system due to the increase in blood flow to the splanchnic vascular bed. The increase in CO is delivered by an increase of HR and stroke volume. In our studies, we typically find HR increases of 8 beats/min, which gradually return to baseline over 4 hours after a meal.1, 7 In healthy subjects, the CO showed increases depending on type of meal, age, and sex.21, 22 The composition of a meal may play an important role, as high‐carbohydrate meals were shown to be accompanied by a prolonged rise of CO: 32% compared with a rise of 22% after ingestion of high‐fat meals.21 In addition to the differing effects of meal composition on CO, there are different patterns of change in peripheral hemodynamics. High‐fat meals increased the postprandial superior mesenteric blood flow of 121%, compared with 87% for the high‐carbohydrate meal.23 Plasma noradrenaline levels were shown to increase after a high‐carbohydrate meal, while levels were virtually unchanged after a high‐fat meal,24 although we found little difference on QTcF between carbohydrate meals and meals with a higher fat content.7 The ingestion of a meal was associated with an increase in cardiac sympathetic activity in young subjects,25, 26 while healthy elderly subjects do not increase cardiac sympathetic activity after meal ingestion.27 Activation of the sympathetic nervous system plays a major role in maintaining cardiovascular homeostasis by increasing inotropy, chronotropy, and lusitropy. These changes are mediated by activation of the β‐adrenergic receptor signaling pathway, leading to protein kinase A activation and phosphorylation of intracellular proteins. A key target of protein kinase A is the sarcolemmal L‐type Ca2+ channel, which, when phosphorylated, enhances Ca2+ entry into the cell.28 It was suggested that norepinephrine mediates Ca2+ release by a rapid increase in the free Ca2+ concentration near the sarcoplasmic reticulum.29 As a result of the Ca2+ cycling between the cytoplasm and the sarcoplasmic reticulum, contractility is increased, and a greater volume of blood is ejected during systole. It is important to note that the increases in epinephrine and norepinephrine plasma levels observed after a meal are short lasting (90 minutes),24 whereas the QTcF shortening is consistently present for up to 7 hours after the start of a meal.30 The main effect of a meal on cardiac repolarization seen in this study was a shortening of J‐Tpeak, which corresponds to phase 2 and the early part of phase 3 of the cardiac myocyte action potential. Phase 2 of the action potential is characterized by a number of ion channels closing and opening. The duration of phase 2 is influenced in a significant way by the balance of Ca2+ influx and K+ outflow. We therefore suggest that the mechanism by which food affects J‐Tpeak may be associated with the signaling pathways of calcium cycling. This is consistent with the increase in cardiac stroke volume after a meal, which involves an increase in Ca2+ release and uptake to and from the sarcoplasmic reticulum associated with increased inotropy. In our previous work, we have shown that a meal shortens the QTcF interval in the context of a formal thorough QT study using moxifloxacin as a positive control to assess assay sensitivity.1 We could reconcile our findings with previous literature reports suggesting that meals prolong QTcB: First, these studies looked only at the first 1 to 2 hours after a meal, when there is a significant HR increase, and they used Bazett's HR correction, which is sensitive to HR changes. We could replicate these findings from our data. We conducted a further research study17 to investigate claims by Gastaldelli et al31 that insulin prolongs QTc. We found that C‐peptide and glucose had antagonistic effects on the QTc interval. In a healthy individual, the presence of C‐peptide shortens the QTc, and it appears that this is offsetting the effect of glucose, which by itself appears to prolong the QTc interval; this has been described by others.32 We hypothesized that the net effect of the 2 antagonistic effects leads to an approximate 8‐millisecond QTc shortening with a peak occurring 2 to 4 hours after starting a meal in a normal individual. Our analysis also confirmed that insulin in a euglycemic clamp has no effect on QTcF.7 It has been demonstrated that physiological concentrations of C‐peptide increase the expression of erythrocyte Na+/K+‐adenosine triphosphatase33 and induce intracellular Ca2+ increases in human renal tubular cells,34 making it a reasonable hypothesis that the same occurrence could be observable in cardiomyocytes. C‐peptide was also shown to increase the release of nitric oxide from endothelial nitric oxide synthase in bovine aortic endothelial cells in a concentration‐ and time‐dependent manner. The data indicated that C‐peptide is likely to stimulate the activity of the Ca2+‐sensitive endothelial nitric oxide synthase by increasing the influx of Ca2+ into endothelial cells.35 Combined, data suggest that C‐peptide may elicit changes in cardiac repolarization through a potential interaction with Ca2+ cycling in the cardiac myocyte as one possible explanation for QTc shortening after a meal. Although C‐peptide has been shown to bind specifically to human cell membranes36, 37 and G‐protein coupled receptor 146 was identified as an essential contributor for the C‐peptide signaling complex,38 the receptor of C‐peptide remains unknown. Further investigations are required to understand the role of C‐peptide and determine the underlying mechanisms of the impact on cardiac repolarization during the postprandial period. In summary, this study demonstrates that food exerts an effect on early repolarization and that an initial shortening of the J‐Tpeak interval was seen with moxifloxacin in the fed state even when the differences in plasma concentrations are taken into account (data not shown). From the analysis presented in this paper, it could be postulated that some type of relationship might exist between shortening of J‐Tpeak and C‐peptide concentrations having an effect on Ca2+ cycling in the cardiomyocyte. Further work will be necessary to unravel the precise mechanism(s) by which this interplay could occur.

Limitations

This study has some limitations. This was a retrospective analysis and exploratory in nature, as the technical methods utilized to measure the subintervals of QTc were unavailable at the time of conducting the study. However, the analysis is sufficiently robust regarding the J‐Tpeak interval shortening following a meal, and the results align well with previous published work. The sample size is relatively small and contains both females and males. Matsukura et al39 recently published a report suggesting that males and females show a different response regarding the J‐Tpeak interval. This has not been explored with this data.
  37 in total

Review 1.  Calcium cycling and signaling in cardiac myocytes.

Authors:  Donald M Bers
Journal:  Annu Rev Physiol       Date:  2008       Impact factor: 19.318

2.  Spectral analysis of heart rate dynamics in elderly persons with postprandial hypotension.

Authors:  S M Ryan; A L Goldberger; R Ruthazer; J Mietus; L A Lipsitz
Journal:  Am J Cardiol       Date:  1992-01-15       Impact factor: 2.778

3.  The effect of meal size on postprandial increase in cardiac output.

Authors:  B A Waaler; M Eriksen; K Toska
Journal:  Acta Physiol Scand       Date:  1991-05

4.  Study of repolarization heterogeneity and electrocardiographic morphology with a modeling approach.

Authors:  Joel Xue; Weihua Gao; Yao Chen; Xiaodong Han
Journal:  J Electrocardiol       Date:  2008-09-19       Impact factor: 1.438

5.  Specific binding of proinsulin C-peptide to human cell membranes.

Authors:  R Rigler; A Pramanik; P Jonasson; G Kratz; O T Jansson; P Nygren; S Stâhl; K Ekberg; B Johansson; S Uhlén; M Uhlén; H Jörnvall; J Wahren
Journal:  Proc Natl Acad Sci U S A       Date:  1999-11-09       Impact factor: 11.205

6.  Insulin prolongs the QTc interval in humans.

Authors:  A Gastaldelli; M Emdin; F Conforti; S Camastra; E Ferrannini
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2000-12       Impact factor: 3.619

7.  Proinsulin C-peptide and its analogues induce intracellular Ca2+ increases in human renal tubular cells.

Authors:  J Shafqat; L Juntti-Berggren; Z Zhong; K Ekberg; M Köhler; P O Berggren; J Johansson; J Wahren; H Jörnvall
Journal:  Cell Mol Life Sci       Date:  2002-07       Impact factor: 9.261

8.  Acute hyperglycaemia disturbs cardiac repolarization in Type 1 diabetes.

Authors:  D Gordin; C Forsblom; M Rönnback; P-H Groop
Journal:  Diabet Med       Date:  2008-01       Impact factor: 4.359

9.  Sex differences in the rate dependence of the T wave descending limb.

Authors:  Peter Smetana; Velislav Batchvarov; Katerina Hnatkova; A John Camm; Marek Malik
Journal:  Cardiovasc Res       Date:  2003-06-01       Impact factor: 10.787

10.  Stimulation of endothelial nitric oxide synthase by proinsulin C-peptide.

Authors:  Thomas Wallerath; Thomas Kunt; Thomas Forst; Ellen I Closs; Ralf Lehmann; Thomas Flohr; Matthias Gabriel; Dirk Schäfer; Andrea Göpfert; Andreas Pfützner; Jürgen Beyer; Ulrich Förstermann
Journal:  Nitric Oxide       Date:  2003-09       Impact factor: 4.427

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  5 in total

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Authors:  David G Strauss; Wendy W Wu; Zhihua Li; John Koerner; Christine Garnett
Journal:  Clin Pharmacol Ther       Date:  2021-01-07       Impact factor: 6.875

2.  Novel effects of the gastrointestinal hormone secretin on cardiac metabolism and renal function.

Authors:  Sanna Laurila; Eleni Rebelos; Minna Lahesmaa; Lihua Sun; Katharina Schnabl; Tia-Mari Peltomaa; Riku Klén; Mueez U-Din; Miikka-Juhani Honka; Olli Eskola; Anna K Kirjavainen; Lauri Nummenmaa; Martin Klingenspor; Kirsi A Virtanen; Pirjo Nuutila
Journal:  Am J Physiol Endocrinol Metab       Date:  2021-11-22       Impact factor: 4.310

3.  Short-Term Beat-to-Beat QT Variability Appears Influenced More Strongly by Recording Quality Than by Beat-to-Beat RR Variability.

Authors:  Ondřej Toman; Katerina Hnatkova; Martina Šišáková; Peter Smetana; Katharina M Huster; Petra Barthel; Tomáš Novotný; Irena Andršová; Georg Schmidt; Marek Malik
Journal:  Front Physiol       Date:  2022-04-01       Impact factor: 4.755

4.  Dasiglucagon Effects on QTc in Healthy Volunteers: A Randomized, Placebo-Controlled, Dose-Escalation, Double-Blind Study.

Authors:  Ramin Tehranchi; Jonas Pettersson; Anita E Melgaard; Friedeborg Seitz; Anders Valeur; Stine Just Maarbjerg
Journal:  Curr Ther Res Clin Exp       Date:  2022-03-29

5.  Effect of hyperglycaemia in combination with moxifloxacin on cardiac repolarization in male and female patients with type I diabetes.

Authors:  Jorg Taubel; Dominic Pimenta; Samuel Thomas Cole; Claus Graff; Jørgen K Kanters; A John Camm
Journal:  Clin Res Cardiol       Date:  2022-05-21       Impact factor: 6.138

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