Evidence map›Paper›PMID 39607539›Full record

ArticleMetabolic brain disease2024

Integrated colon microbiome and metabolomics to elucidate the antidepressant mechanisms of the Radix Bupleuri-Radix Paeoniae Alba herb pair.

Jia-le Lv, Yu Bai, Yu-E Lv, Cong-Cong Chen, Xue-Mei Qin, Guan-Hua Du, Yu-Zhi Zhou

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Article in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. TheFoods (Basel, Switzerland) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jia-le Lv *Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, China.
Yu Bai *Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, China.
Yu-E LvAcupuncture and Moxibustion Hospital of Shanxi Province, Taiyuan, China.
Cong-Cong ChenModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, China.
Xue-Mei QinModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, China.
Guan-Hua DuInstitute of Material Medical, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu-Zhi ZhouModern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, 030006, China. zhouyuzhi@sxu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radix Bupleuri-Radix Paeoniae Alba herb pair (RB-RPA) is the fundamental medication combination of many classic antidepressant prescriptions, and RB-RPA's antidepressant effect is well established. For an extended period, the involvement of intestinal flora in the progression of depression has been widely acknowledged. However, it remains unclear whether RB-RPA could modulate intestinal microbiota disturbances and metabolic abnormalities induced by depression. The research explores the antidepressant mechanism of RB-RPA in chronic unpredictable mild stress (CUMS) rats in terms of intestinal flora and metabolites. We identified critical gut microbial species and metabolites associated with the antidepressant effects of RB-RPA using 16 S rRNA sequencing and Liquid Chromatography-Mass Spectrometry (LC-MS) metabolomics. And then, correlation analysis between critical microbiota and differential metabolites was conducted. The results demonstrate that RB-RPA significantly ameliorated depressive-like behavior in CUMS rats. RB-RPA improved intestinal flora disorders in depressed rats mainly by increasing the abundance of Lactobacillus (especially L. johnsonii), and ameliorated tryptophan synthesis and metabolism disorders in depressed rats and restored the levels of tryptophan and tryptophan microbial metabolites, such as indoleacrylic acid and 4-indoleacetaldehyde. Notably, correlation analysis showed that Lactobacillus had a significant positive correlation with tryptophan, indoleacrylic acid, and 4-indoleacetaldehyde. In conclusion, RB-RPA can improve the disorder of intestinal flora by increasing the abundance of Lactobacillus and improve the metabolic disorder of depressed rats by regulating tryptophan metabolism, thus exerting antidepressant effects.

Indexed as

Antidepressive AgentsDepressionGastrointestinal MicrobiomeMetabolomicsPaeoniaRats, Sprague-DawleyAnimalsBupleurumColonDrugs, Chinese HerbalMaleRatsStress, PsychologicalAntidepressive AgentsDrugs, Chinese Herbal16S rRNA sequencingDepressionGut microbiotaMetabolomicsRadix BupleuriRadix Paeoniae Alba

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.