Prediction of Ventricular Arrhythmias by QRS/QTc - Ratio in Citalopram or Escitalopram Intoxication

Background

The U.S. Food and Drug Administration (FDA) has stated that citalopram and escitalopram should not be used at daily doses above 40 mg/20 mg due to risk for development of fatal ventricular arrhythmias like torsade de pointes (TdP). Yet, supratherapeutic serum concentrations of citalopram are common and predicting patients at risk for TdP is of high clinical value. Accordingly, we investigated whether QRS/QTc; developed for predicting TdP in hypothermic patients could be used in citalopram intoxication.

Methods

A total of 16 publications describing patients suffering from complications due to citalopram or escitalopram treatment, or intoxication with the same substances, were included after a systematic search. The main criterion for inclusion was admission ECG, either with given QRS and QTc values or with attached ECG-files that enabled calculation.

Results

QRS/QTc rather that QTc alone emerged as a marker of ventricular arrhythmia in the 16 included case reports, with highly significant (p < 0.0005) lower values in patients displaying ventricular arrhythmias.

Conclusion

Citalopram and escitalopram are extensively used in treatment of depressive disorders, and a large proportion of patients have supratherapeutic serum concentrations. Calculation of QRS/QTc in available case reports show that this novel ECG-marker has potential to predict patients at risk for developing ventricular arrhythmias.

Contributions of S- and R-citalopram to the citalopram-induced modulation of the function of Nav1.5 voltage-gated sodium channels

Citalopram, a selective serotonin reuptake inhibitor (SSRI), has been reported to have adverse effects such as cardiotoxicity, including prolongation of the QTc interval. Although citalopram is well known to be a racemic compound comprised of S-citalopram (escitalopram) and R-citalopram, it is still unclear which enantiomer is responsible for cardiotoxicity induced by citalopram. It is also unclear which biomolecule is the target that produces the adverse effect of citalopram. In this study, we investigated whether citalopram, escitalopram and R-citalopram had an electrophysiological effect on Nav1.5 voltage-gated sodium channel (VGSC) current and how their electrophysiological properties affected Nav1.5 VGSC. To examine the effects of the electrophysiological properties of them, whole-cell patch clamp recording was performed using HEK293 cells expressing human Nav1.5 VGSCs. Nav1.5 VGSC current decreased by 60.0 ± 6.3% and 55.1 ± 12.5% under treatment with 100 μM citalopram and escitalopram, respectively. However, 100 μM R-citalopram decreased Nav1.5 VGSC current by only 36.2 ± 8.7%. In addition, treatment with 100 μM citalopram and escitalopram changed the voltage-dependence of activation and induced a negative shift of the voltage of half-maximal activation compared to 100 μM R-citalopram. In contrast, treatment with 100 μM citalopram and escitalopram, but not R-citalopram, changed the voltage-dependence of inactivation, and the voltage at half-maximal inactivation slightly shifted toward negative potential. These results suggest that the adverse cardiac effect produced by citalopram might result from modification of the electrophysiological properties of Nav1.5 VGSCs, and escitalopram might contribute more to this adverse effect than R-citalopram.

Post-SSRI Sexual Dysfunction: A Bioelectric Mechanism?

Selective serotonin reuptake inhibitor (SSRI) drugs, targeting serotonin transport, are widely used. A puzzling and biomedically important phenomenon concerns the persistent sexual dysfunction following SSRI use seen in some patients. What could be the mechanism of a persistent physiological state brought on by a transient exposure to serotonin transport blockers? In this study, we briefly review the clinical facts concerning this side effect of serotonin reuptake inhibitors and suggest a possible mechanism. Bioelectric circuits (among neural or non-neural cells) could persistently maintain alterations of bioelectric cell properties (resting potential), resulting in long-term changes in electrophysiology and signaling. We present new data revealing this phenomenon in planarian flatworms, in which brief SSRI exposures induce long-lasting changes in resting potential profile. We also briefly review recent data linking neurotransmitter signaling to developmental bioelectrics. Further study of tissue bioelectric memory could enable the design of ionoceutical interventions to counteract side effects of SSRIs and similar drugs.

Antidepressant Paroxetine Exerts Developmental Neurotoxicity in an iPSC-Derived 3D Human Brain Model

Selective serotonin reuptake inhibitors (SSRIs) are frequently used to treat depression during pregnancy. Various concerns have been raised about the possible effects of these drugs on fetal development. Current developmental neurotoxicity (DNT) testing conducted in rodents is expensive, time-consuming, and does not necessarily represent human pathophysiology. A human, in vitro testing battery to cover key events of brain development, could potentially overcome these challenges. In this study, we assess the DNT of paroxetine—a widely used SSRI which has shown contradictory evidence regarding effects on human brain development using a versatile, organotypic human induced pluripotent stem cell (iPSC)-derived brain model (BrainSpheres). At therapeutic blood concentrations, which lie between 20 and 60 ng/ml, Paroxetine led to an 80% decrease in the expression of synaptic markers, a 60% decrease in neurite outgrowth and a 40–75% decrease in the overall oligodendrocyte cell population, compared to controls. These results were consistently shown in two different iPSC lines and indicate that relevant therapeutic concentrations of Paroxetine induce brain cell development abnormalities which could lead to adverse effects.