The clinical diagnosis of BSE

Diagnosis of Bovine spongiform encephalopathy (BSE) is confirmed by specified laboratory methods on brain material. On the other hand clinical signs of manifest BSE are quite obvious. The first part of this paper describes case histories, clinical signs, laboratory findings and the most common differential diagnoses. On the basis of the data of actual prevalence in Germany, the role of clinical examination in eradication of BSE is dealt in the second part. Clinical diagnosis is a very sensitive and specific method when there is a high prevalence. According to the data from December 2000 to November 2001 prevalence in Germany was beyond 1 BSE case per 100,000 cattle or 3 cases per 100,000 cows. This very low prevalence decreases rapidly sensitivity and specificity of the diagnosis made by clinical examination. Therefore the main focus of field-diagnostics has to be laid on specified laboratory diagnostic methods. On the other hand prevalence of BSE-positive cattle is distinctly higher in the group of animals slaughtered in cases of illness or emergency than in cattle slaughtered on the regulatory bases. Nevertheless every veterinary practitioner should be aware of the clinical picture of BSE, clinical examination-routine and differential diagnosis, because occurrence of BSE is still possible in any dairy herd. At the moment it is not possible to make any statement if eradication of BSE can be reached in future.     

A brief review of genome editing technology for generating animal models

The recent development of genome editing technologies has given researchers unprecedented power to alter DNA sequences at chosen genomic loci, thereby generating various genetically edited animal models. This mini-review briefly summarizes the development of major genome editing tools, focusing on the application of these tools to generate animal models in multiple species.     

Using “Uterine Index” to diagnose embryonic death in mares

Embryonic death plays an important role in infertility in mares, and most of embryonic mortality occurs at an early stage (before day 40) of pregnancy. Previous investigations focused on B-mode sonographic images to determine abnormal pregnancy; however, no study has provided a quantitative and objective method to diagnose embryonic death. Here we developed a new index, “Uterine Index,” using color Doppler sonography to describe alterations of uterine blood flow in physiological and pathological gestations during early gestation. Six Trotter mares were used in this study. The pregnancies were interrupted with a prostaglandin F2α (PGF_2α) analog (tiaprost) at days 25, 30, and 40. Three gestations were investigated in each stage. After the PGF_2α administration, these mares were examined every 8 hours until the embryonic vesicles were not visible on ultrasound. In the control group, three pregnancies were examined daily from days 12 to 60. The embryo size was measured in B-mode sonography, and the blood flow in uterine arteries was examined in Doppler ultrasound. The resistance index (RI) and uterine index (UI) were calculated. In the control group, the RI values of uterine artery were lower in pregnant side compared with that of the non-pregnant side from day 15 on, and the difference became greater as the pregnancy advanced (P < .05). The UI was close to 0 before week 3 and increased to approximately 10 after week 4. In the PGF_2α-treated group, the UI values reduced from pregnancy level to approximately 0. As early as 32 hours before embryonic death, we observed a significant difference of UI values between control and treated mares. On the contrary, the embryo size of treated mares was not different from that of normal mares. Through the analysis of all recorded UI values, we suggest that the UI values 10 and 5 are good values for distinguishing normal pregnancy (UI >10) from embryonic death (UI < 5). If the UI values are located between 10 and 5, a reexamination at intervals of 1 to 3 days is recommended. Our findings demonstrate that the UI is a useful method to diagnose and predict embryonic death in mares by providing reliable and objective information.