Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis.
Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis.
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基于台式核磁共振的代谢组学方法用于诊断牛结核病。
DOI：
10.1111/tbed.14365
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发表时间：
2022
影响因子：
4.3
通讯作者：
Izquierdo-García,JoseL
中科院分区：
文献类型：
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作者：
Ruiz-Cabello,Jesús;Sevilla,IkerA;Olaizola,Ekine;Bezos,Javier;Miguel-Coello,AnaB;Muñoz-Mendoza,Marta;Beraza,Marta;Garrido,JosebaM;Izquierdo-García,JoseL
尽管已经做出了巨大的努力并实施了控制战略，但牛结核病仍然是健康和社会经济问题的一个重要来源。结核病根除计划中用于体内检测的标准方法是结核菌素皮肤试验。然而，结核菌素皮肤试验的特异性受到非结核分枝杆菌感染或疫苗接种的影响。因此，有些动物没有得到正确的诊断。本研究旨在首先通过高场（HF）核磁共振（NMR）光谱法鉴定血浆代谢TB谱，然后使用低场台式（LF）NMR作为TB诊断的经济实惠的分子技术测量该特征性TB代谢谱。（衍生集，n = 11），诊断为副结核病（PTB，n = 10），PTB-接种疫苗的健康对照（n = 10）和健康PTB-未接种疫苗的对照（n = 10）。无监督主成分分析（PCA）用于识别组间代谢差异。我们确定了14种代谢物在结核病和对照动物之间存在显著差异。第二组TB动物用于验证结果（验证集，n = 14）。基于HF和LF NMR光谱获得的代谢指纹的预测模型成功地识别了TB与对照受试者（两种模型中受试者工作特性曲线下面积均超过0.92;总之，使用HF和LF-NMR的血浆指纹图谱区分了TB受试者与未感染动物，以及可能提供TB假阳性的PTB和PTB疫苗接种受试者，强调使用基于LF-NMR的代谢组学作为当前诊断方法的补充或替代诊断工具。
Even though enormous efforts and control strategies have been implemented, bovine tuberculosis (TB) remains a significant source of health and socioeconomic concern. The standard method used in TB eradication programs for in vivo detection is the tuberculin skin test. However, the specificity of the tuberculin skin test is affected by infection with non‐tuberculous mycobacteria or by vaccination. Thus, some animals are not correctly diagnosed. This study aimed first to identify a plasma metabolic TB profile by high‐field (HF) nuclear magnetic resonance (NMR) spectroscopy and second measure this characteristic TB metabolic profile using low‐field benchtop (LF) NMR as an affordable molecular technology for TB diagnosis.Plasma samples from cattle diagnosed with TB (derivation set, n = 11), diagnosed with paratuberculosis (PTB, n = 10), PTB‐vaccinated healthy control (n = 10) and healthy PTB‐unvaccinated control (n = 10) were analyzed by NMR. Unsupervised Principal Component Analysis (PCA) was used to identify metabolic differences between groups. We identified 14 metabolites significantly different between TB and control animals. The second group of TB animals was used to validate the results (validation set, n = 14). Predictive models based on metabolic fingerprint acquired by both HF and LF NMR spectroscopy successfully identified TB versus control subjects (Area under the curve of Receiver Operating Characteristic over 0.92, in both models; Confidence Interval 0.77–1).In summary, plasma fingerprinting using HF and LF‐NMR differentiated TB subjects from uninfected animals, and PTB and PTB‐vaccinated subjects who may provide a TB‐false positive, highlighting the use of LF‐NMR‐based metabolomics as a complementary or alternative diagnostic tool to the current diagnostic methods.