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首页> 外文期刊>Molecular & cellular proteomics: MCP >Identification of targeted analyte clusters for studies of schizophrenia.
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Identification of targeted analyte clusters for studies of schizophrenia.

机译：鉴定用于精神分裂症的目标分析物簇。

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The search for biomarkers to diagnose psychiatric disorders such as schizophrenia has been underway for decades. Many molecular profiling studies in this field have focused on identifying individual marker signals that show significant differences in expression between patients and the normal population. However, signals for multiple analyte combinations that exhibit patterned behaviors have been less exploited. Here, we present a novel approach for identifying biomarkers of schizophrenia using expression of serum analytes from first onset, drug-naive patients and normal controls. The strength of patterned signals was amplified by analyzing data in reproducing kernel spaces. This resulted in the identification of small sets of analytes referred to as targeted clusters that have discriminative power specifically for schizophrenia in both human and rat models. These clusters were associated with specific molecular signaling pathways and less strongly related to other neuropsychiatric disorders such as major depressive disorder and bipolar disorder. These results shed new light concerning how complex neuropsychiatric diseases behave at the pathway level and demonstrate the power of this approach in identification of disease-specific biomarkers and potential novel therapeutic strategies.
机译：寻找诊断精神分裂症等精神疾病的生物标志物已经进行了数十年。该领域的许多分子谱研究集中在鉴定个体标记信号上，这些信号显示出患者和正常人群之间表达的显着差异。但是，很少会利用具有模式行为的多种分析物组合的信号。在这里，我们提出了一种新的方法来鉴定精神分裂症的生物标志物，该方法使用的是首次发病，未接受过药物治疗的患者和正常对照组的血清分析物的表达。通过分析复制内核空间中的数据，可以放大模式信号的强度。这导致鉴定出称为目标簇的少量分析物，这些分析物在人和大鼠模型中都具有对精神分裂症的辨别力。这些簇与特定的分子信号传导途径相关，与其他神经精神疾病（如重度抑郁症和双相情感障碍）的关系较弱。这些结果为复杂神经精神疾病在途径水平上的表现提供了新的思路，并证明了这种方法在鉴定疾病特异性生物标志物和潜在的新型治疗策略中的作用。

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