Study on the Antidepressant Effect of Zhizichi Decoction by Regulating Metabolism and Intestinal Flora.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
WanRu Dong, ShuFa Hu, JiaMin Yu, Ying Liu, ShuTing Zeng, Xiaodong Duan, YongAn Deng, Yi Wang, Jian Yin, Beiyu Xing, Zunpeng Shu
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Abstract

Background: The incidence of depression is increasing year by year, and Zhizichi Decoction(ZZCD)has shown significant efficiency in the clinical treatment of mild depression, but its mechanism of action is still unclear. In this research, network pharmacology and metagenomics combined and metabolomics were used as research methods to explain the scientific connotation of the antidepressant effect of ZZCD from the aspects of the overall effect of organisms and microbial structure and function.

Methods: The rat model of depression was established by chronic unpredictable mild stress (CUMS), and the improvement of depressive symptoms was evaluated by behavioral and histopathological methods. Network pharmacology predicted possible targets and important pathways of ZZCD. Metabolomics revealed its possible related biological pathways. Metagenomics showed the disturbance of ZZCD on intestinal microbial diversity structure and associated biological functions in depressed rats.

Results: ZZCD can improve the behavioral performance of CUMS rats, and can significantly regulate the content of 5-HT, NE and other neurotransmitters in serum and brain tissue, and improve the damaged state of neurons in the hippocampus. Network pharmacology predicts that it mainly acts on biological processes such as inflammatory response and oxidative stress response. Metabolomics found that it affected metabolic pathways such as amino acid metabolism and lipid metabolism. The results of metagenomics showed that it significantly regulated the abundance of Firmicutes and Bacteroidetes. The above results predicted that it may affect signaling pathways such as the nervous system, inflammatory diseases and cell processing.

Conclusion: ZZCD may play an antidepressant role by regulating intestinal probiotics, energy metabolism, and inflammation reduction. This provides a scientific basis for the clinical application of ZZCD in traditional Chinese medicine and also makes it an optional alternative for the treatment of depression.

通过调节代谢和肠道菌群研究枳实煎剂的抗抑郁作用
研究背景抑郁症的发病率逐年上升,知一解毒片(ZZCD)在临床治疗轻度抑郁症方面疗效显著,但其作用机制尚不清楚。本研究以网络药理学和元基因组学相结合、代谢组学为研究手段,从生物体整体效应和微生物结构与功能两方面阐释浙一解郁片抗抑郁作用的科学内涵:方法:采用慢性不可预知的轻度应激(CUMS)建立大鼠抑郁模型,通过行为学和组织病理学方法评价抑郁症状的改善情况。网络药理学预测了ZZCD的可能靶点和重要通路。代谢组学揭示了其可能的相关生物通路。元基因组学显示了ZZCD对抑郁大鼠肠道微生物多样性结构和相关生物功能的干扰:结果:ZZCD能改善CUMS大鼠的行为表现,并能显著调节血清和脑组织中5-HT、NE等神经递质的含量,改善海马神经元的受损状态。网络药理学预测,它主要作用于炎症反应和氧化应激反应等生物过程。代谢组学发现,它影响氨基酸代谢和脂质代谢等代谢途径。元基因组学的结果表明,它能显著调节坚固菌和类杆菌的丰度。上述结果预测,它可能会影响神经系统、炎症疾病和细胞处理等信号通路:ZZCD可能通过调节肠道益生菌、能量代谢和减少炎症发挥抗抑郁作用。这为 ZZCD 在中药中的临床应用提供了科学依据,也使其成为治疗抑郁症的一种可选方案。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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