动物医学临床教学数据库的构建与初步应用

动物医学专业不仅要求学生掌握扎实的理论知识,还需要具有丰富的临床实践经验。为了实现该目标,除了要求授课教师对专业知识融会贯通,更需要拥有大量典型的临床病例资料。以安徽农业大学动物医院和畜禽疾病诊断中心为平台,收集大量宝贵的临床病例资料和最新的临床诊疗技术,构建了动物医学临床教学数据库,使得诊疗动物种类多样化,案例信息全面化、系统化。该数据库的建成和应用,为临床教师提供了丰富的教学素材和资料,亦提升了学生的学习兴趣,促进了动物医学专业的教育教学发展。     

一起穿山甲疫情的病原分析

为了查明一起人工养殖穿山甲疫情的致病原因,应用病毒PCR检测和细菌分离的方法对2只前后病死穿山甲进行病原学检测。病毒PCR检测结果显示,未能从肺组织中检测到流感病毒、副黏病毒和腺病毒核酸。细菌分离结果表明,从2只病死穿山甲肺中各分离到1株优势菌株。细菌的生化试验、16S rRNA基因的序列分析表明,2株分离菌株均为摩氏摩根菌。小鼠的致病试验和分离菌的药敏试验结果表明,2株分离菌对小鼠有很强的致病作用,对新霉素、壮观霉素、阿米卡星高度敏感。     

经络穴位给药系统在兽医临床上的应用

经络穴位给药系统以中医经络理论为基础,具有经穴效应和药物效应的双重治疗特性,已广泛应用于兽医临床.目前,兽医临床上常用穴位给药方式是穴位埋植和穴位注射,而常用穴位主要是后海穴、百会穴、肺龠穴.随着经络穴位给药系统的广泛应用,新型经络穴位给药制剂和经络穴位给药作用机理已成为经络穴位给药系统研究的重点.     

Pathological analysis of batch safety testing of veterinary vaccines using small laboratory animals

Batch safety tests (BSTs) of veterinary vaccines are conducted using small laboratory animals to assure the safety of vaccines according to several criteria, including clinical signs and change in body weight. Although the latter is used as an evaluation index in BSTs, there have been no reports on the internal changes that affect body weight during the test period. Therefore, we analyzed BST via pathological examination of the tested animals. Here, BSTs were performed for 176 batches using mice and 126 batches using of guinea pigs. Most of the gross findings could be classified into four lesion types (nodules, adhesions, ascites, no apparent signs), with only one vaccine inducing lesions that could not be classified into any of these four types. Histopathological examination revealed that the reactions caused by BST were pyogenic and/or granulomatous inflammation. Nodular or adhesive lesions comprised more severe pyogenic granulomatous inflammation than ascites or cases with no apparent gross lesions. These nodular or adhesive lesions were more frequently induced by vaccines that contained an adjuvant than by vaccines that did not contain an adjuvant. The cases with “exceptional” gross findings histologically presented severe necrosis of the hematopoietic system. Additional testing showed that these “exceptional” lesions were induced when a specific type of light liquid paraffin was injected along with other vaccine additives. Our results show that body weight loss and/or lesions during BST were induced by proinflammatory properties of the tested vaccines and that BST is a sensitive method for detecting unexpected effects of vaccine components.     

中兽医药技术是猪只康养最佳供给体系

在我国养猪业面临产品安全和环境污染两大瓶颈的情势下,如何使所生产的猪肉食用卫生,所排粪污环境安全,纯天然、无污染、广效低毒、绿色环保的中兽医药学为破解这两大瓶颈提供了技术支撑。充分发挥我国传统的中兽医药技术的特色和优势,构建以中兽医药为主体的猪只康养技术供给体系,旨在集生产管理"适其天性"、所喂药料"无污染"、治疗药物"纯天然"、预防措施治"未病"、治疗方法"和谐调节"和四季保健"药饲同源"于一体的技术供给体系,从源头上破解这两大难题,从而实现猪只康养,环境安全,猪肉安康,凸显出中兽医药是猪只康养的最佳供给体系。     

我国和欧盟兽药质量监督抽检工作机制对比研究

为更好地完善我国兽药质量监督抽检计划,通过对欧盟药品抽检管理工作机制的研究,本文分析了欧盟和我国兽药监督抽检管理方式的不同,从抽检责任部门、抽检目的、抽检计划内容、抽检计划制定流程、抽检品种的遴选和检测参数的确定等6方面进行了对比分析,探讨我国兽药质量监督抽检工作的管理中可以借鉴的方面。     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.