Depression-associated gut microbes, metabolites and clinical trials

被引:3
|
作者
Wang, Meiling [1 ]
Song, Zhaoqi [1 ]
Lai, Shirong [1 ]
Tang, Furong [2 ]
Dou, Lijun [3 ]
Yang, Fenglong [1 ,4 ]
机构
[1] Fujian Med Univ, Sch Med Technol & Engn, Dept Bioinformat, Fujian Key Lab Med Bioinformat, Fuzhou, Peoples R China
[2] Tsinghua Univ, Sch Med, Dept Basic Med Sci, Beijing, Peoples R China
[3] Genom Med Inst, Lerner Res Inst, Cleveland, OH 44195 USA
[4] Fujian Med Univ, Sch Basic Med Sci, Key Lab Minist Educ Gastrointestinal Canc, Fuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
depression; gut microbiota; metabolites; pathogenesis; clinical trials; BLOOD-BRAIN-BARRIER; FOLIC-ACID; FECAL MICROBIOTA; MATERNAL SEPARATION; MAJOR DEPRESSION; DOUBLE-BLIND; TRYPTOPHAN-METABOLISM; S-ADENOSYLMETHIONINE; NEUROTROPHIC FACTOR; STRESS;
D O I
10.3389/fmicb.2024.1292004
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Depression is one of the most prevalent mental disorders today. Over the past decade, there has been considerable attention given to the field of gut microbiota associated with depression. A substantial body of research indicates a bidirectional communication pathway between gut microbiota and the brain. In this review, we extensively detail the correlation between gut microbiota, including Lactobacillus acidophilus and Bifidobacterium longum, and metabolites such as short-chain fatty acids (SCFAs) and 5-hydroxytryptamine (5-HT) concerning depression. Furthermore, we delve into the potential health benefits of microbiome-targeted therapies, encompassing probiotics, prebiotics, and synbiotics, in alleviating depression. Lastly, we underscore the importance of employing a constraint-based modeling framework in the era of systems medicine to contextualize metabolomic measurements and integrate multi-omics data. This approach can offer valuable insights into the complex metabolic host-microbiota interactions, enabling personalized recommendations for potential biomarkers, novel drugs, and treatments for depression.
引用
收藏
页数:17
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