Investigation of urine metabolome of BALB/c mouse infected with an avirulent strain of Toxoplasma gondii.
Investigation of urine metabolome of BALB/c mouse infected with an avirulent strain of Toxoplasma gondii.
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DOI：
10.1186/s13071-022-05408-2
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发表时间：
2022-07-29
影响因子：
3.2
通讯作者：
中科院分区：
文献类型：
--
作者：
弓形虫是人类和动物健康的主要问题。虽然近年来对弓形虫病的代谢了解有所增加，但通过非侵入性方法在生物流体中分析代谢改变仍然有限。在这里，我们应用液相色谱-串联质谱（LC-MS/MS）为基础的代谢组学和多元统计分析，分析BALB/c小鼠尿液收集急性感染，慢性感染和对照组。总的来说，我们分别在正电喷雾电离（ESI +）模式和ESI −模式下鉴定了2065和1409种代谢物。主成分分析（PCA）和偏最小二乘判别分析（PLS-DA）评分图产生的代谢组学模式清楚地将T。来自未感染尿液样本的刚地虫感染。尿中的甲硫氨酸水平发生改变。刚地氏菌感染的小鼠揭示了与氨基酸代谢、脂肪酸代谢以及烟酸盐和烟酰胺代谢相关的途径的变化。本研究首次对BALB/c小鼠尿代谢谱进行了研究。弓形虫感染弓形虫感染小鼠尿液中的代谢物组具有独特性，对了解弓形虫病的发病机制和提高治疗水平具有重要价值。在线版本包含补充材料，可通过10.1186/s13071-022-05408-2获得。
The protozoan parasite Toxoplasma gondii is a major concern for human and animal health. Although the metabolic understanding of toxoplasmosis has increased in recent years, the analysis of metabolic alterations through noninvasive methodologies in biofluids remains limited. Here, we applied liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomics and multivariate statistical analysis to analyze BALB/c mouse urine collected from acutely infected, chronically infected and control subjects. In total, we identified 2065 and 1409 metabolites in the positive electrospray ionization (ESI +) mode and ESI − mode, respectively. Metabolomic patterns generated from principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) score plots clearly separated T. gondii-infected from uninfected urine samples. Metabolites with altered levels in urine from T. gondii-infected mice revealed changes in pathways related to amino acid metabolism, fatty acid metabolism, and nicotinate and nicotinamide metabolism. This is the first study to our knowledge on urine metabolic profiling of BALB/c mouse with T. gondii infection. The urine metabolome of infected mouse is distinctive and has value in the understanding of Toxoplasmosis pathogenesis and improvement of treatment. The online version contains supplementary material available at 10.1186/s13071-022-05408-2.
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影响因子：
3.2
作者：
Liu Q;Wang ZD;Huang SY;Zhu XQ
通讯作者：
Zhu XQ
影响因子：
14.2
作者：
Hill, D;Dubey, JP
通讯作者：
Dubey, JP
影响因子：
4.3
作者：
Emond, Patrick;Mavel, Sylvie;Andres, Christian R.
通讯作者：
Andres, Christian R.
影响因子：
4.6
作者：
Pegalajar-Jurado A;Fitzgerald BL;Islam MN;Belisle JT;Wormser GP;Waller KS;Ashton LV;Webb KJ;Delorey MJ;Clark RJ;Molins CR
通讯作者：
Molins CR
影响因子：
2.5
作者：
Slominska, EM;Szolkiewicz, M;Swierczynski, J
通讯作者：
Swierczynski, J