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基于基因表达的重度抑郁症生物学检测:一项深入研究。

Gene expression-based biological test for major depressive disorder: an advanced study.

作者信息

Watanabe Shin-Ya, Numata Shusuke, Iga Jun-Ichi, Kinoshita Makoto, Umehara Hidehiro, Ishii Kazuo, Ohmori Tetsuro

机构信息

Department of Psychiatry, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima.

Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Ehime.

出版信息

Neuropsychiatr Dis Treat. 2017 Feb 21;13:535-541. doi: 10.2147/NDT.S120038. eCollection 2017.

DOI:10.2147/NDT.S120038
PMID:28260899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5328599/
Abstract

PURPOSE

Recently, we could distinguished patients with major depressive disorder (MDD) from nonpsychiatric controls with high accuracy using a panel of five gene expression markers (, and ) in leukocyte. In the present study, we examined whether this biological test is able to discriminate patients with MDD from those without MDD, including those with schizophrenia and bipolar disorder.

PATIENTS AND METHODS

We measured messenger ribonucleic acid expression levels of the aforementioned five genes in peripheral leukocytes in 17 patients with schizophrenia and 36 patients with bipolar disorder using quantitative real-time polymerase chain reaction (PCR), and we combined these expression data with our previous expression data of 25 patients with MDD and 25 controls. Subsequently, a linear discriminant function was developed for use in discriminating between patients with MDD and without MDD.

RESULTS

This expression panel was able to segregate patients with MDD from those without MDD with a sensitivity and specificity of 64% and 67.9%, respectively.

CONCLUSION

Further research to identify MDD-specific markers is needed to improve the performance of this biological test.

摘要

目的

最近,我们利用一组五个基因表达标记(……)在白细胞中能够以高精度区分重度抑郁症(MDD)患者与非精神科对照。在本研究中,我们检验了这种生物学检测方法是否能够区分MDD患者与非MDD患者,包括精神分裂症和双相情感障碍患者。

患者与方法

我们使用定量实时聚合酶链反应(PCR)测量了17例精神分裂症患者和36例双相情感障碍患者外周血白细胞中上述五个基因的信使核糖核酸表达水平,并将这些表达数据与我们之前25例MDD患者和25例对照的表达数据相结合。随后,开发了一种线性判别函数用于区分MDD患者和非MDD患者。

结果

该表达面板能够将MDD患者与非MDD患者区分开来,敏感性和特异性分别为64%和67.9%。

结论

需要进一步研究以确定MDD特异性标记物,以提高这种生物学检测方法的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9f7/5328599/707368add7cb/ndt-13-535Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9f7/5328599/707368add7cb/ndt-13-535Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9f7/5328599/707368add7cb/ndt-13-535Fig1.jpg

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