The pharmacological actions of Danzhi-xiaoyao-San on depression involve lysophosphatidic acid and microbiota-gut-brain axis: novel insights from a systems pharmacology analysis of a double-blind, randomized, placebo-controlled clinical trial.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2024-11-01 Epub Date: 2023-08-26 DOI:10.1080/07391102.2023.2251067
Xiuqing Zhu, Shengwei Wu, Yufang Zhou, Tao Xiao, Liang Xia, Youtian Wang, Aixiang Xiao, Jianxiong Guo, Ming Zhang, Yuguan Wen, Dewei Shang, Lin Yu
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Abstract

Danzhi-xiaoyao-San (DZXYS), a Traditional Chinese Medicine, plays an essential role in the clinical treatment of depression, but its mechanisms in humans remain unclear. To investigate its pharmacological effects and mechanisms as an add-on therapy for depression, we conducted a double-blind, placebo-controlled trial with depressed patients receiving selective serotonin reuptake inhibitors (SSRIs). Serum and fecal samples were collected for metabolomic and microbiome analysis using UHPLC-QTRAP-MS/MS and 16S rRNA gene sequencing technologies, respectively. Depression symptoms were assessed using the 24-item Hamilton Depression Scale. We employed network pharmacology, metabolomics, and molecular docking to identify potential targets associated with DZXYS. We also examined the correlation between gut microbes and metabolites to understand how DZXYS affects the microbiota-gut-brain axis. The results showed that DZXYS combined with SSRIs was more effective than SSRIs alone in improving depression. We identified 39 differential metabolites associated with DZXYS treatment and found seven upregulated metabolic pathways. The active ingredients quercetin and luteolin were docked to targets (AVPR2, EGFR, F2, and CDK6) associated with the enriched pathways 'pancreatic cancer' and 'phospholipase D signaling pathway', which included the metabolite lysophosphatidic acid [LPA(0:0/16:0)]. Additionally, we identified 32 differential gut microbiota species related to DZXYS treatment, with Bacteroides coprophilus and Ruminococcus gnavus showing negative correlations with specific metabolites such as L-2-aminobutyric acid and LPA(0:0/16:0). Our findings indicate that DZXYS's antidepressant mechanisms involve multiple targets, pathways, and the regulation of LPA and the microbiota-gut-brain axis. These insights from our systems pharmacology analysis contribute to a better understanding of DZXYS's potential pharmacological mechanisms in depression treatment.Communicated by Ramaswamy H. Sarma.

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丹栀消药散对抑郁症的药理作用涉及溶血磷脂酸和微生物-肠-脑轴:一项双盲、随机、安慰剂对照临床试验的系统药理学分析的新见解。
丹芝消遥散(DZXYS)是一种中药,在抑郁症的临床治疗中发挥着重要作用,但其在人体中的作用机制仍不清楚。为了研究丹栀逍遥散作为抑郁症附加疗法的药理作用和机制,我们对接受选择性血清素再摄取抑制剂(SSRIs)治疗的抑郁症患者进行了一项双盲安慰剂对照试验。我们收集了血清和粪便样本,分别使用 UHPLC-QTRAP-MS/MS 和 16S rRNA 基因测序技术进行代谢组和微生物组分析。抑郁症状采用 24 项汉密尔顿抑郁量表进行评估。我们采用网络药理学、代谢组学和分子对接技术来确定与 DZXYS 相关的潜在靶点。我们还研究了肠道微生物与代谢物之间的相关性,以了解 DZXYS 如何影响微生物群-肠-脑轴。结果显示,DZXYS 与 SSRIs 联用比单独使用 SSRIs 更能有效改善抑郁症。我们发现了 39 种与 DZXYS 治疗相关的不同代谢物,并发现了七种上调的代谢途径。槲皮素和木犀草素的活性成分与 "胰腺癌 "和 "磷脂酶 D 信号通路 "相关的靶点(AVPR2、表皮生长因子受体、F2 和 CDK6)对接,其中包括代谢物溶血磷脂酸[LPA(0:0/16:0)]。此外,我们还发现了 32 种与 DZXYS 治疗相关的不同肠道微生物群,其中 Bacteroides coprophilus 和 Ruminococcus gnavus 与 L-2-aminobutyric acid 和 LPA(0:0/16:0) 等特定代谢物呈负相关。我们的研究结果表明,DZXYS 的抗抑郁机制涉及多个靶点、途径以及 LPA 和微生物群-肠-脑轴的调节。我们从系统药理学分析中获得的这些见解有助于更好地理解DZXYS治疗抑郁症的潜在药理机制。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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The pharmacological actions of Danzhi-xiaoyao-San on depression involve lysophosphatidic acid and microbiota-gut-brain axis: novel insights from a systems pharmacology analysis of a double-blind, randomized, placebo-controlled clinical trial. Broadening the scope of WEE1 inhibitors: identifying novel drug candidates via computational approaches and drug repurposing. Molecularly imprinted polymer-based sensors for identification volatile compounds in pharmaceutical products: in silico rational design. Computational insights into pediatric adenovirus inhibitors: in silico strategies for drug repurposing. Predicting the changes in neutralizing antibody interaction with G protein derived from Bangladesh isolates of Nipah virus: molecular dynamics based approach.
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