Evidence map›Paper›PMID 32436944›Full record

ArticleBioscience reports2020

Exploring the mechanism of Shengmai Yin for coronary heart disease based on systematic pharmacology and chemoinformatics.

Yan Jiang, Qi He, Tianqing Zhang, Wang Xiang, Zhiyong Long, Shiwei Wu

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The Protective Effect of Sheng Mai Yin on Diabetic Cardiomyopathy via NLRP3/Caspase-1 Pathway.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  9. Review
  10. Article
  11. Article
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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 6 institutions in 1 country.

Yan JiangDepartment of General Surgery, The First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China.
Qi HeIntensive Care Unit, People's Hospital of Ningxiang City, Ningxiang 410600, Hunan Province, China.
Tianqing ZhangGraduate College, University of South China, Hengyang, Hunan Province, China.
Wang XiangGraduate College, Guilin Medical University, Guilin, Guangxi Province, China.
Zhiyong LongDepartment of Physical Medicine and Rehabilitation, Guangdong General Hospital, Shantou University Medical College, Shantou, Guangdong, China.
Shiwei WuDepartment of Traditional Chinese Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.
First Affiliated Hospital of University of South China · CNGuangdong General Hospital · CNGuilin Medical University · CNHunan Normal University · CNNingxia Hui Autonomous Region Peoples Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the mechanism of Shengmai Yin (SMY) for coronary heart disease (CHD) by systemic pharmacology and chemoinformatics.

methodsTraditional Chinese Medicine Systems Pharmacology Database (TCMSP), traditional Chinese medicine integrative database (TCMID) and the traditional Chinese medicine (TCM) Database@Taiwan were used to screen and predict the bioactive components of SMY. Pharmmapper were utilized to predict the potential targets of SMY, the TCMSP was utilized to obtain the known targets of SMY. The Genecards and OMIM database were utilized to collect CHD genes. Cytoscape was then used for network construction and analysis, and DAVID was used for Gene Ontology (GO) and pathway enrichment analysis. After that, animal experiments were then performed to further validate the results of systemic pharmacology and chemoinformatics.

resultsThree major networks were constructed: (1) CHD genes' protein-protein interaction (PPI) network; (2) SMY-CHD PPI network; (3) SMY known target-CHD PPI network. The other networks are minor networks generated by analyzing the three major networks. Experimental results showed that compared with the model group, the Shengmai injection (SMI) can reduce the myocardial injury score and the activities of serum aspartate aminoconvertase (AST), CK and lactate dehydrogenase (LDH) in rats (P<0.05), and reduce serum lipid peroxide (LPO) content and increase serum superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) activities in myocardial infarction rats (P<0.05). SMI can also decrease the expression of MMP-9 mRNA and increase that of TIMP-1 mRNA (P<0.01).

conclusionSMY may regulate the signaling pathways (such as PPAR, FoxO, VEGF signaling), biological processes (such as angiogenesis, blood pressure formation, inflammatory response) and targets (such as AKT1, EGFR, MAPK1) so as to play a therapeutic role in CHD.

Indexed as

AnimalsCardiovascular AgentsCoronary DiseaseDatabases, FactualDisease Models, AnimalDrug CombinationsDrugs, Chinese HerbalFemaleGene Regulatory NetworksHumansMaleMatrix Metalloproteinase 9Myocardial InfarctionMyocytes, CardiacProtein Interaction MapsRats, Sprague-DawleyCardiovascular AgentsDrug CombinationsDrugs, Chinese Herbalfructus schizandrae, radix ginseng, radix ophiopogonis drug combinationMatrix Metalloproteinase 9Mmp9 protein, ratTimp1 protein, mouseTissue Inhibitor of Metalloproteinase-1ChemoinformaticsChinese medicineCoronary heart diseaseShengmai InjectionShengmai YinSystematic pharmacology

Identifiers

PMID32436944
PMCPMC7286881
OpenAlexW3028499951

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.