Evidence map›Paper›PMID 37565556›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Exploring Mechanisms of

Bo Cao, Jiao Jin, Zhiyu Tang, Qiong Luo, Jinbing An, Wei Pang

Abstract read
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In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Bo CaoDepartment of Health Informatics and Management, School of Health Humanities, Peking University, Beijing, 100191, China.
Jiao JinSchool of Statistics, Beijing Normal University, Beijing, 100875, China.
Zhiyu TangDepartment of Health Informatics and Management, School of Health Humanities, Peking University, Beijing, 100191, China.
Qiong LuoSchool of Nursing, Peking University, Beijing, 100191, China.
Jinbing AnDepartment of Health Informatics and Management, School of Health Humanities, Peking University, Beijing, 100191, China.
Wei PangDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.

Funding

Beijing Natural Science Foundation 7212057National Natural Science Foundation of China 11771048
6 · The paper itself

Abstract

backgroundHoushiheisan (HSHS) has been effective in the treatment of ischemic stroke (IS) for centuries. However, its mechanisms are still underexplored.

objectiveThe objective of this study is to identify the active ingredients and mechanisms of HSHS in treating IS.

methodsWe searched the main active compounds in HSHS and their potential targets, and key targets related to IS. Based on the common targets of HSHS and IS, we further expanded genes by KEGG database to obtain target genes and related genes, as well as gene interactions in the form of A→B, and then constructed a directed network including traditional Chinese medicines (TCMs), active compounds and genes. Finally, based on enrichment analysis, independent cascade (IC) model, and molecular docking, we explored the mechanisms of HSHS in treating IS.

resultsA directed network with 6,348 nodes and 64,996 edges was constructed. The enrichment analysis suggested that the AGE pathway, glucose metabolic pathway, lipid metabolic pathway, and inflammation pathway played critical roles in the treatment of IS by HSHS. Furthermore, the gene ontologies (GOs) of three monarch drugs in HSHS mainly involved cellular response to chemical stress, blood coagulation, hemostasis, positive regulation of MAPK cascade, and regulation of inflammatory response. Several candidate drug molecules were identified by molecular docking.

conclusionThis study advocated potential drug development with targets in the AGE signaling pathway, with emphasis on neuroprotective, anti-inflammatory, and anti-apoptotic functions. The molecular docking simulation indicated that the ligand-target combination selection method based on the IC model was effective and reliable.

Indexed as

Drugs, Chinese HerbalIschemic StrokeMolecular Docking SimulationNetwork PharmacologyHumansMedicine, Chinese TraditionalDrugs, Chinese HerbalHoushiheisanindependent cascade modelischemic strokemolecular dockingnetwork pharmacologysignaling pathway.

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Registered trials

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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.