Evidence map›Paper›PMID 32956608›Full record

SynthesisPharmaceutical biology2020

Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease.

Pengji Yi, Zheyu Zhang, Siqi Huang, Jiahua Huang, Weijun Peng, Jingjing Yang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Pharmaceutical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Efficacy and possible mechanism ofFrontiers in pharmacology · 2026
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  6. Structural Bioinformatics Applied to Acetylcholinesterase Enzyme Inhibition.International journal of molecular sciences · 2025
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  18. Antidepressant effects of total alkaloids ofPharmaceutical biology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Pengji YiDepartment of Integrated Traditional Chinese and Western Medicine, the Second Xiangya Hospital, Central South University, Changsha, China.
Zheyu ZhangDepartment of Integrated Traditional Chinese and Western Medicine, the Second Xiangya Hospital, Central South University, Changsha, China.
Siqi HuangDepartment of Integrated Traditional Chinese and Western Medicine, the Second Xiangya Hospital, Central South University, Changsha, China.
Jiahua HuangHunan Academy of Chinese Medicine, Changsha, China.
Weijun PengDepartment of Integrated Traditional Chinese and Western Medicine, the Second Xiangya Hospital, Central South University, Changsha, China.
Jingjing YangTeaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, China.
Second Xiangya Hospital of Central South University · CNHunan Academy of Traditional Chinese Medicine · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextKai-Xin-San (KXS) has been used to treat Alzheimer's disease (AD) for thousands of years. However, no quantitative data regarding AD treatment using KXS are available. Moreover, its active compounds and mechanism of action for the treatment of AD remain largely unclear.

objectivesTo evaluate the efficacy and the potential pharmacological mechanisms of KXS in AD treatment. MATERIALS AND

methodsA systematic collection of KXS experiments was conducted from PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang Data up to February, 2020. Review Manager 5 software was used for meta-analysis. In network pharmacology, components of KXS were screened, AD-related genes were then identified and the 'component-target-pathway' network constructed. Molecular docking was finally employed for

resultsMeta-analysis revealed that KXS improves the cognitive benefits in AD models by reducing the time of escape latency (SMD = -16.84) as well as increasing the number of cross-platform (SMD = 2.56) and proportion of time in the target quadrant (SMD = 7.52). Network pharmacology identified 25 KXS active compounds and 44 genes targets. DRD2, MAOA, ACHE, ADRA2A and CHRM2 were core target proteins. Besides, 22 potential pathways of KXS were identified, like cholinergic synapses, the cGMP/PKG pathway and calcium signalling. Molecular docking showed that stigmasterol, aposcopolamine and inermin can closely bind three targets (ACHE, ADRA2A and CHRM2). DISCUSSION AND

conclusionThese findings suggest that KXS exerts effect on AD through multi-target, multi-component and multi-pathway mechanism. Future studies may explore the active components of KXS.

Indexed as

Alzheimer DiseaseAnimalsDisease Models, AnimalDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalMolecular Docking SimulationProtein Interaction MapsSignal TransductionDrugs, Chinese HerbalKai-Xin-Sandementiamolecular docking technologypharmacological networkTraditional Chinese medicine formula

Identifiers

PMID32956608
PMCPMC7534219
OpenAlexW3087547769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.