Chui Ray W, Derakhchan Katayoun, Vargas Hugo M
Amgen Inc., Department of Toxicology Sciences, 1 Amgen Center Drive, MS25-0-A, Thousand Oaks, CA 91320, United States.
J Pharmacol Toxicol Methods. 2012 Sep;66(2):84-91. doi: 10.1016/j.vascn.2012.05.002. Epub 2012 May 14.
Cardiac arrhythmia findings can be a challenge to interpret and difficult to attribute to background incidence or test article treatment. Thus, there is a growing need to better understand arrhythmia incidence in the experimental animal models used to assess the cardiovascular safety of new drugs. Currently, there is little information on the frequency of spontaneous cardiac arrhythmias in the cynomolgus monkey.
This study evaluated the baseline arrhythmia rate in a group (n=19) of non-naïve (drug-free) male telemetered cynomolgus monkeys at various timepoints over a 6 month period. When sampled, data were collected continuously (24 hour bins over a 6 month period) and the ECG waveforms analyzed for arrhythmia using a semi-automated approach with pattern recognition software. The arrhythmia data were evaluated to detect atrial and ventricular patterns, as well as changes associated with circadian rhythm.
Evaluation of this data showed that cynomolgus monkeys can exhibit spontaneous arrhythmias (day cycle; means) of the following types: supraventricular premature contraction (SPC, 10.7%); escape beats (EB, 3.8%); and sinus node pause (SNP, 2.8%), with others below 2%. From the ventricular perspective, ventricular premature beats (VPB, 25.4% (day cycle mean)) were the most prevalent. Circadian analysis indicated that some arrhythmias had higher incidence during the night cycle: SNP (32.6%); EB (18.5%); atrioventricular block (AVB, 2.7%), an indication that the arrhythmia pattern is influenced by the diurnal cycle.
Overall, the data demonstrated that a variety of spontaneous arrhythmias occur at low frequency in non-treated animals, and the incidence varies between animals, and within the same animal when repeatedly sampled. Given the low incidence in normal animals, continuous ECG sampling over multiple days is needed to establish an accurate arrhythmia "fingerprint" for each animal in dedicated telemetry colonies, which could assist the interpretation of arrhythmia findings that may occur in cardiovascular safety studies.
心脏心律失常的发现可能难以解释,并且很难归因于背景发生率或受试药物治疗。因此,越来越需要更好地了解用于评估新药心血管安全性的实验动物模型中的心律失常发生率。目前,关于食蟹猴自发性心律失常频率的信息很少。
本研究评估了一组(n = 19)非初治(无药物)的雄性遥测食蟹猴在6个月期间不同时间点的基线心律失常率。采样时,连续收集数据(6个月期间按24小时时段),并使用模式识别软件通过半自动方法分析心电图波形以检测心律失常。对心律失常数据进行评估,以检测心房和心室模式以及与昼夜节律相关的变化。
对这些数据的评估表明,食蟹猴可出现以下类型的自发性心律失常(日周期;平均值):室上性早搏(SPC,10.7%);逸搏(EB,3.8%);以及窦房结停搏(SNP,2.8%),其他类型低于2%。从心室角度来看,室性早搏(VPB,日周期平均值为25.4%)最为常见。昼夜节律分析表明,某些心律失常在夜间周期发生率更高:SNP(32.6%);EB(18.5%);房室传导阻滞(AVB,2.7%),这表明心律失常模式受昼夜周期影响。
总体而言,数据表明在未治疗的动物中各种自发性心律失常发生率较低,并且发生率在不同动物之间以及同一动物重复采样时会有所不同。鉴于正常动物中发生率较低,需要在多天内连续进行心电图采样,以在专用遥测群体中为每只动物建立准确的心律失常“指纹”,这有助于解释心血管安全性研究中可能出现的心律失常发现。