抑郁症中的微生物群-代谢相互作用:代谢洞察力和诊断潜力
Mingliang Zhao1, Penghong Liu2, Mingzhi Pan3
1Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
Cell reports. Medicine
|January 21, 2026
概括
这项研究揭示了在抑郁症中显著的肠道微生物和代谢变化. 代谢物调解肠道细菌和抑郁症之间的联系,作为识别的潜在生物标志物.
科学领域:
- 微生物学 微生物学
- 代谢学 代谢学 代谢学
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
背景情况:
- 越来越多的证据表明肠道微生物群,宿主新陈代谢和抑郁症的发展之间存在联系.
- 了解这些复杂的相互作用对于识别新的治疗点和抑郁症诊断标志物至关重要.
研究的目的:
- 为了研究肠道微生物组成和血清代谢组在患有第一次抑郁症的个体中的变化.
- 为了确定特定的微生物物种,代谢途径和与抑郁症相关的代谢物.
- 探索代谢物在肠道微生物群和抑郁症之间关系中的调解作用,并评估它们作为诊断生物标志物的潜力.
主要方法:
- 在一组186名患有第一发抑郁症的个人中分析了便和血清代谢组和匹配的对照组.
- 在三个独立的队列 (n=223,85,52) 中验证,包括药物干预研究.
- 利用部分斯皮尔曼相关性和调解分析来确定物种-代谢物和代谢物介导的物种-抑郁相关性.
- 开发了一种机器学习模型,使用已识别的代谢物来区分抑郁症和对照组.
主要成果:
- 与对照人群相比,抑郁症患者的53种肠道微生物物种,12种与微生物群相关的代谢途径和34种代谢物中观察到显著的干扰.
- 药物管理后,16种代谢物显示其水平的逆转.
- 确定了与抑郁症相关的关键物种 (例如,Bifidobacterium longum,Parasutterella excrementihominis) 和代谢物 (例如,铁素,血清素,同酸).
- 一个结合34种代谢物的机器学习模型在测试和验证集中区分抑郁症方面取得了高准确度 (AUC0.82和0.80).
结论:
- 代谢物在肠道微生物群和抑郁症之间的复杂关系中扮演着关键的媒介角色.
- 已识别的代谢物是识别和潜在诊断抑郁症的有价值指标.
- 这些发现强调了肠道微生物组-代谢轴作为抑郁症病理生理学的重要因素.
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