Multiplatform metabolome and proteome profiling identifies serum metabolite and protein signatures as prospective biomarkers for schizophrenia
Multiplatform metabolome and proteome profiling identifies serum metabolite and protein signatures as prospective biomarkers for schizophrenia
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DOI：
10.1007/s00702-014-1224-0
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发表时间：
2015-08-01
影响因子：
3.3
通讯作者：
Thome, Johannes
中科院分区：
文献类型：
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作者：
Al Awam, Khaled;Haussleiter, Ida Sibylle;Thome, Johannes
精神分裂症是一种有生物学基础的严重精神疾病。然而，迄今为止，寻找适用于临床常规的可靠生物标志物是徒劳的。因此，需要创新的方法，如基因组学和蛋白质组学来实现这一目标。在本研究中，我们比较了26名精神分裂症患者的代谢组学和蛋白质组学数据，以及在多平台方法中仔细匹配年龄和性别的未受影响的对照组。组合分析鉴定了许多最初具有良好生物标志物特征的特征。在对这些鉴定的血清代谢物（通过气相色谱质谱分析）和疏水血清蛋白（通过基质辅助激光解吸电离质谱分析）进行统计分析和比较后，几种标志物（例如，2-哌啶羧酸、6-脱氧-甘露呋喃糖、半乳糖肟和M/Z 3177的血清肽）被确定为在组之间具有最佳区分值。我们的研究结果表明，代谢组学和蛋白质组学方法可以成功地用于精神生物标志物的研究，即使结果应该被视为初步的，需要在更大的样本复制的原则证明。
Schizophrenia is a severe mental illness with a biological basis. However, the search for reliable biomarkers suitable for clinical routine has been futile so far. Accordingly, there is a need for innovative approaches such as genomics and proteomics to achieve this goal. In the present study, we compared metabolomic and proteomic data from 26 schizophrenia patients as well as from unaffected controls carefully matched for age and gender in a multi-platform approach. The combined analysis identified many signatures with initially good biomarker characteristics. After statistical analysis and comparison of these identified serum metabolites (analysed by Gas Chromatography Mass Spectrometry) and hydrophobic serum proteins (analysed by matrix-assisted laser desorption ionisation mass spectrometry), several markers (e.g., 2-piperidinec carboxylic acid, 6-deoxy-mannofuranose, galactoseoxime and a serum peptide of m/z 3177) were determined as having the best discriminating value between the groups. Our findings represent a proof of principle indicating that metabolomic and proteomic approaches can be successfully used in psychiatric biomarker research, even though the results should be regarded as preliminary with a need for replication in larger samples.