Evidence map›Paper›PMID 36817116›Full record

ArticleFrontiers in pharmacology2023

Yingli Zhu, Hongbin Yang, Liwen Han, Lewis H Mervin, Layla Hosseini-Gerami, Peihai Li, Peter Wright, Maria-Anna Trapotsi, Kechun Liu, Tai-Ping Fan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Yingli ZhuDepartment of Clinical Chinese Pharmacy, School of Chinese Material Medica, Beijing University of Chinese Medicine, Beijing, China.
Hongbin YangDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
Liwen HanEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China.
Lewis H MervinDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
Layla Hosseini-GeramiDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
Peihai LiEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China.
Peter WrightDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
Maria-Anna TrapotsiDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
Kechun LiuEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China.
Tai-Ping FanDepartment of Pharmacology, University of Cambridge, Cambridge, United Kingdom.
Andreas BenderDepartment of Chemistry, Center for Molecular Science Informatics, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBQilu University of Technology · CNShandong Academy of Sciences · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncontrolled angiogenesis is a common denominator underlying many deadly and debilitating diseases such as myocardial infarction, chronic wounds, cancer, and age-related macular degeneration. As the current range of FDA-approved angiogenesis-based medicines are far from meeting clinical demands, the vast reserve of natural products from traditional Chinese medicine (TCM) offers an alternative source for developing pro-angiogenic or anti-angiogenic modulators. Here, we investigated 100 traditional Chinese medicine-derived individual metabolites which had reported gene expression in MCF7 cell lines in the Gene Expression Omnibus (GSE85871). We extracted literature angiogenic activities for 51 individual metabolites, and subsequently analysed their predicted targets and differentially expressed genes to understand their mechanisms of action. The angiogenesis phenotype was used to generate decision trees for rationalising the poly-pharmacology of known angiogenesis modulators such as ferulic acid and curculigoside and validated by an

Indexed as

angiogenesisbiological assessmentmachine learningmode of actionTCM

Identifiers

PMID36817116
PMCPMC9937659
OpenAlexW4319159956

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.