综合微生物组和新陈代谢分析,以识别重大抑郁障碍的潜在生物标志物
Hyunjung Lee1, Mee-Hyun Lee2,3, Seung-Ho Seo2
1Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Journal of microbiology and biotechnology
|January 28, 2026
概括
大型抑郁症 (MDD) 涉及与脂质代谢变化相关的肠道失调. 血代谢物概况为MDD提供了比单独的肠道细菌更准确的诊断标记.
科学领域:
- 神经科学是一个神经科学.
- 代谢学 代谢学 代谢学
- 微生物组研究的研究.
背景情况:
- 大型抑郁症 (MDD) 的病理生理学不清楚,缺乏客观的诊断标记.
- 微生物群-肠-大脑轴与MDD有关,但肠道失调和宿主新陈代谢之间的联系尚不清楚.
研究的目的:
- 通过使用多组学方法,研究MDD中肠道失调和全身代谢之间的功能联系.
- 通过比较肠道微生物群和血代谢形状来确定MDD的潜在诊断生物标志物.
主要方法:
- 集成的多组组学:16S rRNA基因测序,GC-MS (尿液/血),UPLC-QTOF-MS (血).
- 对一个有或没有MDD的韩国队列 (n=69) 的分析.
- 相关性分析将微生物种类与宿主代谢途径联系起来.
主要成果:
- 患有MDD的患者表现出明显的肠道微生物转移,包括Eubacterium eligens群和Veillonella的丰富.
- 确定了一个功能性的"肠脂轴",将这些类型与改变的宿主乙和脂肪酸代谢联系起来.
- 与肠道微生物群 (AUC=0.654) 相比,MDD的血代谢资料显示出更高的诊断准确性 (AUC=0.862).
结论:
- 肠道微生物组的改变为MDD的脂质失调提供了机械的见解.
- 流通的血代谢物是MDD比肠道微生物群组成更强大和更接近的诊断指标.
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