Profiling of serum metabolites in canine lymphoma using gas chromatography mass spectrometry.
Profiling of serum metabolites in canine lymphoma using gas chromatography mass spectrometry.
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DOI：
10.1292/jvms.14-0043
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发表时间：
2014-11
期刊：
影响因子：
--
通讯作者：
Takenaka S
中科院分区：
文献类型：
--
作者：
Tamai R;Furuya M;Hatoya S;Akiyoshi H;Yamamoto R;Komori Y;Yokoi S;Tani K;Hirano Y;Komori M;Takenaka S
犬淋巴瘤是一种常见的癌症，联合化疗的完全缓解率很高。然而，缓解的持续时间因多种因素而异，有必要开发一种早期发现复发的方法。本研究用气相色谱-质谱法(GC-MS)比较了21只淋巴瘤犬和13只健康犬血清中的代谢物。用m/z 100-600的离子对潜在结构的判别分析(OPLS-DA)图将淋巴瘤组与对照组分开，表明淋巴瘤组的代谢物分布与健康犬不同。在所有血清样本中发现的29种代谢物的OPLS-DA图上，淋巴瘤组也与对照组分开。在这些代谢物中，有16种在淋巴瘤组中水平较高，其中15种代谢物水平较高，而肌醇水平较低。OPLS-DA图显示，仅使用这16种代谢物就可以将淋巴瘤组和健康组分开。这些结果表明，GC-MS代谢物图谱可能是检测潜在生物标志物和诊断犬淋巴瘤的有用工具。
Canine lymphoma is a common cancer that has high rates of complete remission with combination chemotherapy. However, the duration of remission varies based on multiple factors, and there is a need to develop a method for early detection of recurrence. In this study, we compared the metabolites profiles in serum from 21 dogs with lymphoma and 13 healthy dogs using gas chromatography mass spectrometry (GC-MS). The lymphoma group was separated from the control group in an orthogonal projection to latent structure with discriminant analysis (OPLS-DA) plot using ions of m/z 100–600, indicating that the metabolites profiles in lymphoma cases differed from those in healthy dogs. The lymphoma group was also separated from the control group on OPLS-DA plot using 29 metabolites identified in all serum samples. Significant differences were found for 16 of these metabolites with higher levels in the lymphoma group for 15 of the metabolites and lower levels for inositol. An OPLS-DA plot showed separation of the lymphoma and healthy groups using these 16 metabolites only. These results indicate that metabolites profile with GC-MS may be a useful tool for detection of potential biomarker and diagnosis of canine lymphoma.
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影响因子：
3.6
作者：
Nishiumi, Shin;Shinohara, Masakazu;Yoshida, Masaru
通讯作者：
Yoshida, Masaru
DOI：
10.1016/j.bbagen.2012.07.010
发表时间：
2012-11-01
影响因子：
3
作者：
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6.4
作者：
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影响因子：
3.7
作者：
Nishiumi S;Kobayashi T;Ikeda A;Yoshie T;Kibi M;Izumi Y;Okuno T;Hayashi N;Kawano S;Takenawa T;Azuma T;Yoshida M
通讯作者：
Yoshida M
影响因子：
3.3
作者：
Ihata, Yutaka;Miyagi, Etsuko;Hirahara, Fumiki
通讯作者：
Hirahara, Fumiki