Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
Microbiome. 2023 Aug 28;11(1):195. doi: 10.1186/s40168-023-01635-6.
There is a growing body of evidence suggesting that disturbance of the gut-brain axis may be one of the potential causes of major depressive disorder (MDD). However, the effects of antidepressants on the gut microbiota, and the role of gut microbiota in influencing antidepressant efficacy are still not fully understood.
To address this knowledge gap, a multi-omics study was undertaken involving 110 MDD patients treated with escitalopram (ESC) for a period of 12 weeks. This study was conducted within a cohort and compared to a reference group of 166 healthy individuals. It was found that ESC ameliorated abnormal blood metabolism by upregulating MDD-depleted amino acids and downregulating MDD-enriched fatty acids. On the other hand, the use of ESC showed a relatively weak inhibitory effect on the gut microbiota, leading to a reduction in microbial richness and functions. Machine learning-based multi-omics integrative analysis revealed that gut microbiota contributed to the changes in plasma metabolites and was associated with several amino acids such as tryptophan and its gut microbiota-derived metabolite, indole-3-propionic acid (I3PA). Notably, a significant correlation was observed between the baseline microbial richness and clinical remission at week 12. Compared to non-remitters, individuals who achieved remission had a higher baseline microbial richness, a lower dysbiosis score, and a more complex and well-organized community structure and bacterial networks within their microbiota. These findings indicate a more resilient microbiota community in remitters. Furthermore, we also demonstrated that it was not the composition of the gut microbiota itself, but rather the presence of sporulation genes at baseline that could predict the likelihood of clinical remission following ESC treatment. The predictive model based on these genes revealed an area under the curve (AUC) performance metric of 0.71.
This study provides valuable insights into the role of the gut microbiota in the mechanism of ESC treatment efficacy for patients with MDD. The findings represent a significant advancement in understanding the intricate relationship among antidepressants, gut microbiota, and the blood metabolome. Additionally, this study offers a microbiota-centered perspective that can potentially improve antidepressant efficacy in clinical practice. By shedding light on the interplay between these factors, this research contributes to our broader understanding of the complex mechanisms underlying the treatment of MDD and opens new avenues for optimizing therapeutic approaches. Video Abstract.
越来越多的证据表明,肠道-大脑轴的紊乱可能是导致重度抑郁症(MDD)的潜在原因之一。然而,抗抑郁药对肠道微生物群的影响,以及肠道微生物群在影响抗抑郁药疗效方面的作用仍未完全阐明。
为了填补这一知识空白,对 110 名接受依西酞普兰(ESC)治疗 12 周的 MDD 患者进行了一项多组学研究。这项研究是在一个队列内进行的,并与 166 名健康个体的参考组进行了比较。结果发现,ESC 通过上调 MDD 消耗的氨基酸和下调 MDD 富集的脂肪酸来改善异常的血液代谢。另一方面,ESC 的使用对肠道微生物群表现出相对较弱的抑制作用,导致微生物丰富度和功能降低。基于机器学习的多组学综合分析表明,肠道微生物群有助于血浆代谢物的变化,并与几种氨基酸(如色氨酸及其肠道微生物群衍生代谢物吲哚-3-丙酸(I3PA))相关。值得注意的是,基线微生物丰富度与第 12 周的临床缓解之间存在显著相关性。与未缓解者相比,达到缓解的个体基线微生物丰富度更高,失调评分更低,其微生物群内的群落结构和细菌网络更复杂且组织更有序。这些发现表明缓解者的微生物群具有更强的恢复能力。此外,我们还证明,能够预测 ESC 治疗后临床缓解可能性的不是肠道微生物群本身的组成,而是基线时孢子形成基因的存在。基于这些基因的预测模型显示出 0.71 的曲线下面积(AUC)性能指标。
这项研究提供了关于肠道微生物群在 ESC 治疗 MDD 患者疗效机制中的作用的有价值的见解。研究结果代表了对抗抑郁药、肠道微生物群和血液代谢组之间复杂关系的理解的重大进展。此外,这项研究提供了一个以微生物群为中心的视角,这可能会改善临床实践中的抗抑郁药疗效。通过揭示这些因素之间的相互作用,该研究为我们对 MDD 治疗背后的复杂机制的更广泛理解做出了贡献,并为优化治疗方法开辟了新途径。视频摘要。