利用肉鸡感染模型中的性能和健康指标阐明坏死性肠炎的不同影响

S A S van der Klein, C Evans, J L M Marchal, K Gibbs
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摘要

坏死性肠炎(NE)仍然是家禽业的一个沉重负担,而减少抗生素使用的压力又加剧了这一问题。研究人员利用坏死性肠炎挑战模型来研究坏死性肠炎的感染生物学特性,并将其作为筛选工具来开发潜在的新型干预措施。目前,对不同研究机构的此类模型进行比较的数据非常有限,而且很少有数据表明哪些量化指标能最准确地衡量干预措施的效果。我们比较了在四个地理区域采用六种挑战模式的 10 个独立 NE 挑战试验的数据,以确定鸟类反应的变异程度,并利用主成分分析(PCA)确定哪些变量能最有效地区分非挑战对照组(NC)和挑战对照组(CC)。反应变量涉及生长性能(增重、采食量、饲料转化率)、健康状况(死亡率、病变评分、NE诱导率),以及肠道完整性(紧密连接蛋白claudin-1、claudin-2和zonula occludens-1的表达、球虫数量和肠道通透性[通过FITC-葡聚糖测定法评估])(仅在三个试验中)。处理包括CC和NC,CC在不同试验中有所不同(例如,在艾美耳病易感性、产气荚膜梭菌菌株和接种天数方面)。在不同的模型和试验中,CC 禽对挑战的反应程度差异很大。在所有试验中,CC鸟与NC鸟相比,挑战后1至4天的病变评分均有所提高,且在不同模式内和不同模式间均有差异(分别为0.29-1.17分和0.05-2.50分)。此外,在第 28 天时,CC 与 NC 相比,NE 相关死亡率增加,且在模型内和模型间均有差异(分别为 1.79%-4.72% 和 0.02%-16.70% ),最终(第 35 天或第 42 天)体重减少了 3.9%-14.4% ,总体 FCR 在各试验中均增加了 27% (P , 0.05)。对仅包括性能指标的综合数据集进行 PCA 分析,未能充分区分 NC 组和 CC 组。然而,将性能和肠道完整性变量结合起来,并按试验和阶段对数据进行标准化处理,则能更大程度地区分不同组别。这表明,在未来的NE-挑战研究中纳入这两类变量将能从不同类型的感染模型中得出更可靠的干预效果预测。基于关键指标变量子集(包括体重、采食量、饲料转化率、死亡率和病变评分)的最终 PCA 能够很好地区分鸟类的 NC 状态和 CC 状态,随着研究的深入,它可能会成为现有方法的有益补充,用于评估和预测鸟类在野外的 NE 状态。
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Elucidating the Varying Impact of Necrotic Enteritis Using Performance and Health Indicators in Broiler Infection Models.

Necrotic enteritis (NE) continues to be a significant burden to the poultry industry, compounded by pressure to reduce antibiotic use. Researchers use NE-challenge models to study the infection biology of NE and as screening tools to develop potential novel interventions. Currently, data are limited comparing such models between research establishments, and few indicate which quantitative metrics provide the most accurate measure for determining the efficacy of interventions. We compared data from 10 independent NE-challenge trials incorporating six challenge models employed in four geographical regions to determine the extent of variability in bird responses and to determine, using principal component analysis (PCA), which variables discriminated most effectively between nonchallenged control (NC) and challenged control (CC) groups. Response variables related to growth performance (weight gain, feed intake, feed conversion), health (mortality, lesion scores, NE induction rate), and, in three trials only, gut integrity (tight junction protein claudin-1, claudin-2, and zonula occludens-1 expression, coccidia counts, and intestinal permeability [assessed by FITC-dextran assay]). Treatments included a CC, which varied between trials (for example, in Eimeria predisposition, Clostridium perfringens strain, and days of inoculation), and a NC. The degree of response to challenge in CC birds varied significantly among models and trials. In all trials, lesion scores 1 to 4 days postchallenge were increased in CC vs. NC birds and varied both within and among models (by 0.29-1.17 points and 0.05-2.50 points, respectively). In addition, NE-related mortality at day 28 was increased in CC vs. NC, both within and among models (by 1.79%-4.72% and 0.02%-16.70%, respectively), and final (day 35 or 42) body weight was reduced by 3.9%-14.4% and overall FCR increased by up to 27% across trials (P , 0.05). A PCA on the combined dataset including only performance indicators failed to adequately differentiate NC and CC groups. However, the combination of performance and gut integrity variables and standardization of data by trial and phase achieved greater resolution between groups. This indicated that the inclusion of both types of variables in future NE-challenge studies would enable the generation of more robust predictions about intervention efficacy from different types of infection models. A final PCA based on a subset of key indicator variables, including body weight, feed intake, feed conversion ratio, mortality, and lesion score, achieved a good level of separation between NC and CC status of birds and could, with further research, be a useful supplement to existing approaches for assessing and predicting the NE status of birds in the field.

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