BACKGROUND: Diagnostic biomarkers of major depressive disorder, bipolar disorder, and schizophrenia are urgently needed, because none are currently available. METHODS: We performed a comprehensive metabolome analysis of plasma samples from drug-free patients with major depressive disorder (n=9), bipolar disorder (n=6), schizophrenia (n=17), and matched healthy controls (n=19) (cohort 1) using liquid chromatography time-of-flight mass spectrometry. A significant effect of diagnosis was found for 2 metabolites: nervonic acid and cortisone, with nervonic acid being the most significantly altered. The reproducibility of the results and effects of psychotropic medication on nervonic acid were verified in cohort 2, an independent sample set of medicated patients [major depressive disorder (n=45), bipolar disorder (n=71), schizophrenia (n=115)], and controls (n=90) using gas chromatography time-of-flight mass spectrometry. RESULTS: The increased levels of nervonic acid in patients with major depressive disorder compared with controls and patients with bipolar disorder in cohort 1 were replicated in the independent sample set (cohort 2). In cohort 2, plasma nervonic acid levels were also increased in the patients with major depressive disorder compared with the patients with schizophrenia. In cohort 2, nervonic acid levels were increased in the depressive state in patients with major depressive disorder compared with the levels in the remission state in patients with major depressive disorder and the depressive state in patients with bipolar disorder. CONCLUSION: These results suggested that plasma nervonic acid is a good candidate biomarker for the depressive state of major depressive disorder.
Plasma Nervonic Acid Is a Potential Biomarker for Major Depressive Disorder: A Pilot Study.
阅读:4
作者:Kageyama Yuki, Kasahara Takaoki, Nakamura Takemichi, Hattori Kotaro, Deguchi Yasuhiko, Tani Munehide, Kuroda Kenji, Yoshida Sumiko, Goto Yu-Ichi, Inoue Koki, Kato Tadafumi
| 期刊: | International Journal of Neuropsychopharmacology | 影响因子: | 3.700 |
| 时间: | 2018 | 起止号: | 2018 Mar 1; 21(3):207-215 |
| doi: | 10.1093/ijnp/pyx089 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
