Evidence map›Paper›PMID 25093322›Full record

ArticlePloS one2014

Systems pharmacology dissection of multi-scale mechanisms of action for herbal medicines in stroke treatment and prevention.

Jingxiao Zhang, Yan Li, Xuetong Chen, Yanqiu Pan, Shuwei Zhang, Yonghua Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Uncovering the Anti-Lung-Cancer Mechanisms of the Herbal Drug FDY2004 by Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  8. A Network Pharmacology Study on the Molecular Mechanisms of FDY003 for Breast Cancer Treatment.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Wound Healing and the Use of Medicinal Plants.Evidence-based complementary and alternative medicine : eCAM · 2019
    Review
  14. Article
  15. Article
  16. AFrontiers in pharmacology · 2018
    Article
  17. Article
  18. Review
  19. Review
  20. Review
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 2 institutions in 1 country.

Jingxiao ZhangKey laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.
Yan LiKey laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.
Xuetong ChenCollege of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China; Center of Bioinformatics, Northwest A & F University, Yangling, Shaanxi, China.
Yanqiu PanKey laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.
Shuwei ZhangKey laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.
Yonghua WangCollege of Life Sciences, Northwest A & F University, Yangling, Shaanxi, China; Center of Bioinformatics, Northwest A & F University, Yangling, Shaanxi, China.
Dalian University of Technology · CNNorthwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annually, tens of millions of first-ever strokes occur in the world; however, currently there is lack of effective and widely applicable pharmacological treatments for stroke patients. Herbal medicines, characterized as multi-constituent, multi-target and multi-effect, have been acknowledged with conspicuous effects in treating stroke, and attract extensive interest of researchers although the mechanism of action is yet unclear. In this work, we introduce an innovative systems-pharmacology method that combines pharmacokinetic prescreening, target fishing and network analysis to decipher the mechanisms of action of 10 herbal medicines like Salvia miltiorrhizae, Ginkgo biloba and Ephedrae herba which are efficient in stroke treatment and prevention. Our systematic analysis results display that, in these anti-stroke herbal medicines, 168 out of 1285 constituents with the favorable pharmacokinetic profiles might be implicated in stroke therapy, and the systematic use of these compounds probably acts through multiple mechanisms to synergistically benefit patients with stroke, which can roughly be classified as preventing ischemic inflammatory response, scavenging free radicals and inhibiting neuronal apoptosis against ischemic cerebral damage, as well as exhibiting lipid-lowering, anti-diabetic, anti-thrombotic and antiplatelet effects to decrease recurrent strokes. Relying on systems biology-based analysis, we speculate that herbal medicines, being characterized as the classical combination therapies, might be not only engaged in multiple mechanisms of action to synergistically improve the stroke outcomes, but also might be participated in reducing the risk factors for recurrent strokes.

Indexed as

Pharmacological PhenomenaCaco-2 CellsDatabases, PharmaceuticalDrug Evaluation, PreclinicalGene Expression RegulationHerbal MedicineHumansMolecular Targeted TherapyPlant PreparationsPlants, MedicinalSalvia miltiorrhizaScutellaria baicalensisStrokeSystems BiologyUncariaPlant Preparations

Identifiers

PMID25093322
PMCPMC4122378
OpenAlexW2057434257

What OpenQuestion holds

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LicenceCC BY
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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.