Fecal Volatile Organic Ccompound Profiles from White-Tailed Deer (Odocoileus virginianus) as Indicators of Mycobacterium bovis Exposure or Mycobacterium bovis Bacille Calmette-Guerin (BCG) Vaccination.

Fecal Volatile Organic Ccompound Profiles from White-Tailed Deer (Odocoileus virginianus) as Indicators of Mycobacterium bovis Exposure or Mycobacterium bovis Bacille Calmette-Guerin (BCG) Vaccination.
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DOI:
10.1371/journal.pone.0129740
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
VerCauteren KC
VerCauteren KC
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Stahl RS;Ellis CK;Nol P;Waters WR;Palmer M;VerCauteren KC

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白尾鹿(Odocoileus virginianus)是由牛分枝杆菌引起的牛结核病的宿主,也可能是牛的感染源。接种M.牛卡介苗(BCG)正在考虑用于鹿的牛结核病管理。目前,还没有方法可以非侵入性地监测鹿中牛结核病的存在。在这项研究中,挥发性有机化合物的档案卡介苗接种和未接种的鹿,之前和之后的实验挑战与M。牛菌株95-1315,使用固相微萃取纤维顶空取样在悬浮的粪便颗粒上产生,并通过气相色谱/质谱分析。使用XCMS在线处理色谱图以表征处理组之间的离子变化。由显著(α = 0.05)离子响应产生的主成分得分用于建立线性判别分析模型。这些模型的灵敏度和特异性用于评价使用该分析方法区分M前和M后组内比较的可行性。牛攻毒:未接种疫苗的公鹿或母鹿、接种BCG疫苗的公鹿以及未接种疫苗的混合性别鹿数据。在该分析中鉴定了17种化合物。这些化合物的峰面积被用来建立基于主成分分析得分的线性判别分类模型,以评估区分粪便样品与M.牛攻击鹿,无论接种状态如何。最能代表数据的模型的敏感性为78.6%,特异性为91.4%。在这项初步研究中提出的粪便顶空采样方法提供了一种非侵入性的方法来区分M。牛攻击鹿和卡介苗接种鹿。此外,该技术可能被证明是非常宝贵的卡介苗的功效研究与自由放养的鹿,以及作为一个非侵入性的监测系统,用于检测结核病在圈养的鹿和其他牲畜。
White-tailed deer (Odocoileus virginianus) serve as a reservoir for bovine tuberculosis, caused by Mycobacterium bovis, and can be a source of infection in cattle. Vaccination with M. bovis Bacille Calmette Guerin (BCG) is being considered for management of bovine tuberculosis in deer. Presently, no method exists to non-invasively monitor the presence of bovine tuberculosis in deer. In this study, volatile organic compound profiles of BCG-vaccinated and non-vaccinated deer, before and after experimental challenge with M. bovis strain 95–1315, were generated using solid phase microextraction fiber head-space sampling over suspended fecal pellets with analysis by gas chromatography/mass spectrometry. Chromatograms were processed using XCMS Online to characterize ion variation among treatment groups. The principal component scores resulting from significant (α = 0.05) ion responses were used to build linear discriminant analysis models. The sensitivity and specificity of these models were used to evaluate the feasibility of using this analytical approach to distinguish within group comparisons between pre- and post-M. bovis challenge: non-vaccinated male or female deer, BCG-vaccinated male deer, and the mixed gender non-vaccinated deer data. Seventeen compounds were identified in this analysis. The peak areas for these compounds were used to build a linear discriminant classification model based on principal component analysis scores to evaluate the feasibility of discriminating between fecal samples from M. bovis challenged deer, irrespective of vaccination status. The model best representing the data had a sensitivity of 78.6% and a specificity of 91.4%. The fecal head-space sampling approach presented in this pilot study provides a non-invasive method to discriminate between M. bovis challenged deer and BCG-vaccinated deer. Additionally, the technique may prove invaluable for BCG efficacy studies with free-ranging deer as well as for use as a non-invasive monitoring system for the detection of tuberculosis in captive deer and other livestock.
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