Evidence map›Paper›PMID 34575413›Full record

ReviewPharmaceutics2021

Peptide Inhibitors of Vascular Endothelial Growth Factor A: Current Situation and Perspectives.

Ivan Guryanov, Tatiana Tennikova, Arto Urtti

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Niosome-encapsulated auraptene reduced the mRNA expression ofInternational journal of ophthalmology · 2024
    Article
  5. Article
  6. Structure-Based Design of Peptides Targeting VEGF/VEGFRs.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

3 authors at 2 institutions in 2 countries.

Ivan GuryanovInstitute of Chemistry, St. Petersburg State University, Universitetsky pr. 26, Peterhof, 198504 St. Petersburg, Russia.
Tatiana TennikovaInstitute of Chemistry, St. Petersburg State University, Universitetsky pr. 26, Peterhof, 198504 St. Petersburg, Russia.ORCID 0000-0002-9029-2056
Arto UrttiDivision of Pharmaceutical Biosciences, University of Helsinki, Viikinkaari 5 E, 00014 Helsinki, Finland.
St Petersburg University · RUUniversity of Helsinki · FI

Funding

Ministry of Education and Science of the Russian Federation 075-15-2021-637
6 · The paper itself

Abstract

Vascular endothelial growth factors (VEGFs) are the family of extracellular signaling proteins involved in the processes of angiogenesis. VEGFA overexpression and altered regulation of VEGFA signaling pathways lead to pathological angiogenesis, which contributes to the progression of various diseases, such as age-related macular degeneration and cancer. Monoclonal antibodies and decoy receptors have been extensively used in the anti-angiogenic therapies for the neutralization of VEGFA. However, multiple side effects, solubility and aggregation issues, and the involvement of compensatory VEGFA-independent pro-angiogenic mechanisms limit the use of the existing VEGFA inhibitors. Short chemically synthesized VEGFA binding peptides are a promising alternative to these full-length proteins. In this review, we summarize anti-VEGFA peptides identified so far and discuss the molecular basis of their inhibitory activity to highlight their pharmacological potential as anti-angiogenic drugs.

Indexed as

affinityangiogenesisbindingpeptideVEGFVEGFAVEGFR

Identifiers

PMID34575413
PMCPMC8467741
OpenAlexW3195805648

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.