Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, 402160, China.
NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Adv Sci (Weinh). 2022 Dec;9(35):e2203707. doi: 10.1002/advs.202203707. Epub 2022 Oct 26.
The emergence of the coronavirus disease 2019 pandemic has dramatically increased the global prevalence of depression. Unfortunately, antidepressant drugs benefit only a small minority of patients. Thus, there is an urgent need to develop new interventions. Accumulating evidence supports a causal relationship between gut microbiota dysbiosis and depression. To advance microbiota-based diagnostics and therapeutics of depression, a comprehensive overview of microbial alterations in depression is presented to identify effector microbial biomarkers. This procedure generated 215 bacterial taxa from humans and 312 from animal models. Compared to controls, depression shows significant differences in β-diversity, but no changes in microbial richness and diversity. Additionally, species-specific microbial changes are identified like increased Eggerthella in humans and decreased Acetatifactor in rodent models. Moreover, a disrupted microbiome balance and functional changes, characterized by an enrichment of pro-inflammatory bacteria (e.g., Desulfovibrio and Escherichia/Shigella) and depletion of anti-inflammatory butyrate-producing bacteria (e.g., Bifidobacterium and Faecalibacterium) are consistently shared across species. Confounding effects of geographical region, depression type, and intestinal segments are also investigated. Ultimately, a total of 178 species and subspecies probiotics are identified to alleviate the depressive phenotypes. Current findings provide a foundation for developing microbiota-based diagnostics and therapeutics and advancing microbiota-oriented precision medicine for depression.
2019 年冠状病毒病大流行的出现极大地增加了全球抑郁症的患病率。不幸的是,抗抑郁药仅使少数患者受益。因此,迫切需要开发新的干预措施。越来越多的证据支持肠道微生物失调与抑郁症之间存在因果关系。为了推进基于微生物组的抑郁症诊断和治疗,本文全面概述了抑郁症中的微生物改变,以确定有效的微生物生物标志物。该程序从人类中生成了 215 个细菌分类群,从动物模型中生成了 312 个细菌分类群。与对照组相比,抑郁症在β多样性方面存在显著差异,但微生物丰富度和多样性没有变化。此外,还确定了特定物种的微生物变化,如人类中 Eggerthella 的增加和啮齿动物模型中 Acetatifactor 的减少。此外,还存在微生物平衡失调和功能变化,其特征是促炎细菌(例如,脱硫弧菌和大肠杆菌/志贺氏菌)的富集和抗炎但丁酸盐产生细菌(例如双歧杆菌和粪杆菌)的消耗。这些变化在不同物种中是一致的。还研究了地理区域、抑郁症类型和肠道节段的混杂影响。最终,确定了 178 种和亚种益生菌可以缓解抑郁表型。目前的研究结果为开发基于微生物组的诊断和治疗方法以及推进针对抑郁症的基于微生物组的精准医学提供了基础。