Kim BoMyoung, Chigerwe Munashe, Crossley Beate M
Department of Veterinary Medicine and Epidemiology, University of California-Davis, Davis, CA, USA.
California Animal Health and Food Safety Laboratory System, University of California-Davis, Davis, CA, USA.
J Vet Diagn Invest. 2025 Sep;37(5):759-763. doi: 10.1177/10406387251327604. Epub 2025 Jun 23.
Senecavirus A1 (SVA; , ) infection causes an emerging infectious disease of swine that often leads to cutaneous vesicles on the snout and coronary bands and in the oral cavity of affected pigs, and causes epidemic transient neonatal loss in piglets. Virus isolation (VI) of SVA is required for viability testing, reference stock production, and monitoring virus evolution. We evaluated sampling and testing parameters leading to the successful propagation of SVA with a cross-sectional design based on 1,102 samples submitted to a reference laboratory. Logistic regression was used to evaluate the association between 16 variables and the outcome. When April was considered the reference month, the odds of SVA isolation failure were 17 and 100 times more likely during July and August, respectively. When foot samples were considered the referent, the odds of VI were 1.7 times more likely in unspecified samples. Compared to pooled samples, the odds of successful SVA isolation in individual samples were 8 and 45 times more likely in July and August, respectively. Laboratory parameters were not significantly associated with SVA isolation. The logistic model was moderately accurate (AUC = 0.68; 95% CI: 0.65-0.72%), suggesting that the model should be used cautiously for practical purposes. High environmental temperatures might negatively affect virus recovery. Using individual samples might improve SVA recovery when high ambient temperatures are recorded, as in the months of July and August.
A1型塞内卡病毒(SVA; , )感染会引发猪的一种新发传染病,常导致患病猪的口鼻部、冠状带以及口腔出现皮肤水疱,并致使仔猪出现流行性短暂性新生仔猪死亡。进行SVA的病毒分离(VI)对于活力测试、参考毒株生产以及监测病毒进化而言是必要的。我们基于提交至一家参考实验室的1102份样本,采用横断面设计评估了促成SVA成功增殖的采样和检测参数。运用逻辑回归来评估16个变量与结果之间的关联。若将4月视为参考月份,那么在7月和8月期间,SVA分离失败的几率分别高出17倍和100倍。若将足部样本视为参照,那么在未明确指定的样本中进行病毒分离的几率高出1.7倍。与混合样本相比,在7月和8月,单个样本中SVA成功分离的几率分别高出8倍和45倍。实验室参数与SVA分离并无显著关联。该逻辑模型的准确性一般(曲线下面积 = 0.68;95%置信区间:0.65 - 0.72%),这表明在实际应用中应谨慎使用该模型。较高的环境温度可能会对病毒回收产生负面影响。当记录到较高的环境温度时,如在7月和8月,使用单个样本可能会提高SVA的回收率。