Integrated meta-analysis, data mining, and animal experiments to investigate the efficacy and potential pharmacological mechanism of a TCM tonic prescription, Jianpi Tongmai formula, in depression

补品(生理学) 药方 医学 中医药 药理学 心理学 传统医学 替代医学 内科学 病理
作者
Dan Xue,Yuhui Zhang,Zhujin Song,Jie Xiao,Ruiting Jia,Aisong Zhu
出处
期刊:Phytomedicine [Elsevier]
卷期号:105: 154344-154344 被引量:3
标识
DOI:10.1016/j.phymed.2022.154344
摘要

Depression is a common psychiatric disorder and has become a growing public health issue. Traditional Chinese medicine (TCM) tonic prescriptions have been clinically proven to be an effective treatment for depression. This study aimed to identify the core prescription to improve depression among the numerous TCM tonic prescriptions. First, we used meta-analysis to clarify the efficacy and safety of tonic prescriptions in depression among 37 studies and identified 16 effective tonic prescriptions. Second, we conducted data mining to analyze the tonic prescriptions and identified important nourishing herbs. Third, based on the data mining results, we constructed a Delphi experiment to investigate the effects of these important nourishing herbs in depression. Combining the results of Delphi expert questionnaires and weight analysis, a core TCM tonic prescription, Jianpi Tongmai formula (JPTMF) for the treatment of depression, was constructed and was composed of invigorating Spleen qi herbs. Fourth, we verified that JPTMF can improve chronic unpredictable mild stress (CUMS) induced depression-like behaviors in mice. Fifth, we predicted that the mechanism of JPTMF in the treatment of depression was mainly associated with chemical synaptic transmission and neuroinflammation through network pharmacology and determined preliminary confirmation through animal experiments. This study was undertaken to evaluate the efficacy of TCM tonic prescriptions on depression and construct a core TCM tonic prescription, JPTMF, through a progressive analysis. Network pharmacology and animal experiments verified the reliability of JPTMF. The proposal of JPTMF is of innovative significance, and may provide far-reaching implications for improving depression by using nourishing herbs. Furthermore, the integrated methods applied in this study provide an innovative paradigm for the standardization and scientific basis of TCM research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小王完成签到 ,获得积分10
刚刚
科研通AI2S应助阳光青烟采纳,获得10
刚刚
2秒前
柒柒发布了新的文献求助10
3秒前
3秒前
大模型应助咖咖一咖咖采纳,获得10
3秒前
5秒前
所所应助哈哈哈采纳,获得10
5秒前
CSL完成签到,获得积分10
6秒前
112234发布了新的文献求助10
6秒前
胖虎不胖发布了新的文献求助10
7秒前
芝芝桃桃发布了新的文献求助10
8秒前
研友_VZG7GZ应助童童采纳,获得10
9秒前
天天快乐应助洞两采纳,获得30
10秒前
DH_LEE完成签到,获得积分10
10秒前
king发布了新的文献求助10
11秒前
领导范儿应助茶巽采纳,获得10
12秒前
汉堡包应助去看海嘛采纳,获得10
14秒前
传奇3应助tianyue采纳,获得10
16秒前
胖虎不胖完成签到,获得积分20
18秒前
深情安青应助十月采纳,获得10
19秒前
仙茅应助叉叉茶采纳,获得10
21秒前
23秒前
25秒前
25秒前
yang菲发布了新的文献求助30
28秒前
默默镜子发布了新的文献求助30
29秒前
29秒前
哈哈哈发布了新的文献求助10
29秒前
迷路芝麻完成签到,获得积分10
29秒前
30秒前
傲娇的尔竹完成签到,获得积分20
30秒前
乐乐应助凣凢采纳,获得10
31秒前
lalala完成签到,获得积分10
33秒前
QCL发布了新的文献求助10
34秒前
34秒前
qin发布了新的文献求助10
34秒前
34秒前
34秒前
35秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Very-high-order BVD Schemes Using β-variable THINC Method 870
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3256273
求助须知:如何正确求助?哪些是违规求助? 2898535
关于积分的说明 8301409
捐赠科研通 2567721
什么是DOI,文献DOI怎么找? 1394646
科研通“疑难数据库(出版商)”最低求助积分说明 652913
邀请新用户注册赠送积分活动 630557