Watanabe Shin-Ya, Iga Jun-Ichi, Ishii Kazuo, Numata Shusuke, Shimodera Shinji, Fujita Hirokazu, Ohmori Tetsuro
Department of Psychiatry, Course of Integrated Brain Sciences, University of Tokushima School of Medicine, Tokushima 770-8503, Japan.
Department of Psychiatry, Course of Integrated Brain Sciences, University of Tokushima School of Medicine, Tokushima 770-8503, Japan.
J Psychiatr Res. 2015 Jul-Aug;66-67:1-6. doi: 10.1016/j.jpsychires.2015.03.004. Epub 2015 Apr 24.
Development of easy-to-use biological diagnostic tests for major depressive disorder (MDD) may facilitate MDD diagnosis and delivery of optimal treatment. Here, we examined leukocyte gene expression to develop a biological diagnostic test for MDD.
25 drug-naive MDD patients (MDDs) and 25 age- and sex-matched healthy subjects (Controls) participated in a pilot study. A subsequent replication study involved 20 MDDs and 18 Controls. We used custom-made PCR array plates to examine mRNA levels of 40 candidate genes in leukocyte samples to assess whether any combination of these genes could be used to differentiate MDDs from Controls based on expression profiles.
Among 40 candidate genes, we identified a set of seven genes (PDGFC, SLC6A4, PDLIM5, ARHGAP24, PRNP, HDAC5, and IL1R2), each of which had expression levels that differed significantly between MDD and Control samples in the pilot study. To identify genes whose expression best differentiated between MDDs and Controls, a linear discriminant function was developed to discriminate between MDDs and Controls based on the standardized values of gene expression after Z-score transformation. Ultimately, five genes (PDGFC, SLC6A4, ARHGAP24, PRNP, and HDAC5) were selected for a multi-assay diagnostic test. In the pilot study, this diagnostic test demonstrated sensitivity and specificity of 80% and 92%, respectively. The replication study yielded nearly identical results, sensitivity of 85% and specificity of 89%.
Using leukocyte gene expression profiles, we could differentiate MDDs from Controls with adequate sensitivity and specificity. Additional markers not yet identified might further improve the performance of this test.
开发针对重度抑郁症(MDD)的易于使用的生物诊断测试可能有助于MDD的诊断和最佳治疗的实施。在此,我们研究了白细胞基因表达,以开发一种针对MDD的生物诊断测试。
25名未服用过药物的MDD患者(MDD组)和25名年龄及性别匹配的健康受试者(对照组)参与了一项初步研究。随后的重复研究纳入了20名MDD患者和18名对照组。我们使用定制的PCR阵列板检测白细胞样本中40个候选基因的mRNA水平,以评估这些基因的任何组合是否可用于根据表达谱区分MDD组和对照组。
在40个候选基因中,我们鉴定出一组7个基因(PDGFC、SLC6A4、PDLIM5、ARHGAP24、PRNP、HDAC5和IL1R2),在初步研究中,每个基因在MDD组和对照组样本中的表达水平均有显著差异。为了确定其表达能最佳区分MDD组和对照组的基因,开发了一种线性判别函数,根据Z分数转换后基因表达的标准化值来区分MDD组和对照组。最终,选择了5个基因(PDGFC、SLC6A4、ARHGAP24、PRNP和HDAC5)进行多检测诊断测试。在初步研究中,该诊断测试的灵敏度和特异度分别为80%和92%。重复研究得出了几乎相同的结果,灵敏度为85%,特异度为89%。
利用白细胞基因表达谱,我们能够以足够的灵敏度和特异度区分MDD组和对照组。尚未鉴定的其他标志物可能会进一步提高该测试的性能。