Identification of Targeted Analyte Clusters for Studies of Schizophrenia
Identification of Targeted Analyte Clusters for Studies of Schizophrenia
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DOI：
10.1074/mcp.m900372-mcp200
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发表时间：
2010-03-01
影响因子：
7
通讯作者：
Bahn, Sabine
中科院分区：
文献类型：
--
作者：
Cheng, Tammy M. K.;Lu, Yu-En;Bahn, Sabine
数十年来，人们一直在寻找诊断精神分裂症等精神疾病的生物标志物。该领域的许多分子分析研究都集中于识别个体标记信号，这些信号显示患者和正常人群之间的表达存在显着差异。然而，表现出模式行为的多种分析物组合的信号很少被利用。在这里，我们提出了一种利用首次发病、未接受药物治疗的患者和正常对照的血清分析物表达来识别精神分裂症生物标志物的新方法。通过分析再现内核空间中的数据，放大了模式信号的强度。这导致了被称为目标簇的一小组分析物的鉴定，这些分析物在人类和大鼠模型中都具有专门针对精神分裂症的区分能力。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）的相关性不太强。这些结果为复杂的神经精神疾病在通路水平上的表现提供了新的线索，并证明了这种方法在识别疾病特异性生物标志物和潜在的新型治疗策略方面的力量。分子与细胞蛋白质组学 9：510-522，2010。
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. Molecular & Cellular Proteomics 9: 510-522, 2010.