在犊牛代乳品中加入从喂食牛喷雾干燥红细胞的鱼中提取的鱼粉,有传播疯牛病的风险

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
C.J. de Vos , A.F.G. Antonis , M.H.J. Sturme , M. Appel
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引用次数: 0

摘要

使用含有动物蛋白的农业生产和食品消费残留物会带来疾病传播的风险,牛海绵状脑病(BSE)和非洲猪瘟的流行就说明了这一点。为应对这一风险,欧盟禁止在牲畜饲料中使用动物蛋白,导致农业系统中宝贵的蛋白质流失。随着循环食品体系的呼声日益高涨,需要重新考虑使用残留溪流作为饲料原料的问题,并对相关疾病风险进行评估和必要的缓解措施。在这项研究中,我们评估了作为水产饲料成分的牛喷雾干燥红细胞(SDRBC)的疯牛病风险。用牛喷雾干燥红细胞(SDRBC)喂养的鱼可能会间接导致反刍动物感染疯牛病,因为饲料禁令的豁免之一就是将鱼粉用作犊牛代乳品的成分。我们建立了一个定量风险模型,以评估来自被屠宰的 BSE 感染奶牛的血液中的 BSE 感染性,以及由于生产链中的加工步骤而降低的感染性。该模型的终点是饲喂含鱼粉犊牛代乳粉的犊牛的 BSE 感染率(以牛口腔 ID50 (CoID50) 表示),以及由此导致至少一种新的 BSE 感染的相应概率。在感染的临床最终状态下,BSE 感染奶牛血液中的 BSE 感染率预计为 0.75 CoID50(中位值)。血液中的传染性主要来自屠宰场剔除过程中与脑组织的交叉感染。从屠宰奶牛到犊牛代乳品的整个过程中,最初的感染率都会降低,其中以喂食作为水产饲料成分的牛源性沙雷氏菌的鱼清除感染率的降低幅度最大,但这一参数的不确定性很高。据估计,通过在犊牛代乳品中添加鱼粉,最终到达犊牛体内的感染率非常低(中位值:1.1 × 10-5 CoID50)。假定采用指数剂量反应模型,这相当于 100 万头被屠宰的 BSE 感染奶牛中有 10 头会导致新的 BSE 感染,远远低于引发新流行病的基本繁殖数 (R0) 的临界值 1。因此,我们得出的结论是,使用牛生长激素作为水产饲料的成分,导致新的牛疯牛病疫情的可能性很小。假设分析表明,尽管某些输入参数的不确定性很高,但这一结论是可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk of BSE transmission when fishmeal derived from fish fed bovine spray-dried red blood cells is included in calf milk replacers

The use of residual streams from agricultural production and food consumption containing animal proteins entails the risk of disease transmission as illustrated by the epidemics of bovine spongiform encephalopathy (BSE) and African swine fever. To combat this risk, the use of animal proteins in livestock feed was banned in the European Union, resulting in a drain of valuable proteins from the agricultural system. With an increasing call for a circular food system, the use of residual streams as a feed ingredient needs to be reconsidered with the associated disease risks being assessed and mitigated where needed. In this study, we assessed the BSE risk of bovine spray-dried red blood cells (SDRBC) as an ingredient of aquafeed. Fish fed with bovine SDRBC could indirectly result in exposure of ruminants to BSE infectivity because one of the exemptions of the feed ban is the use of fishmeal as an ingredient in calf milk replacers. A quantitative risk model was built to evaluate the BSE infectivity present in blood sourced from a slaughtered BSE-infected cow and the reduction of infectivity due to processing steps along the production chain. The end point of the model was the BSE infectivity, expressed in cattle oral ID50 (CoID50), reaching calves fed calf milk replacer containing fishmeal, and the corresponding probability that this will result in at least one new BSE infection.

The expected BSE infectivity in blood from a BSE-infected cow at the clinical end state of infection is 0.75 CoID50 (median value). Infectivity in blood mainly results from cross-contamination with brain tissue during stunning at the slaughterhouse. The initial infectivity is reduced along the pathway from slaughtered cow to calf milk replacer, with the highest reduction achieved by clearance of infectivity by fish fed bovine SDRBC as an ingredient of aquafeed, although this parameter has high uncertainty. The final infectivity reaching calves via inclusion of fishmeal in calf milk replacer is estimated to be very low (median value: 1.1 × 10−5 CoID50). Assuming an exponential dose-response model, this corresponds with an expected probability that < 10 out of a million slaughtered BSE-infected cows will result in new BSE infections, which is far below the threshold value of 1 for the basic reproduction number (R0) to initiate a new epidemic. We thus conclude that it is very unlikely that the use of bovine SDRBC as ingredient of aquafeed will result in a new BSE epidemic in cattle. What-if analysis indicated that this conclusion is robust, despite high uncertainty for some input parameters.

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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
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