Evidence map›Paper›PMID 40822341›Full record

ArticleiScience2025

A mechanistic computational model of HGF-VEGF-mediated endothelial cell proliferation and vascular permeability.

Rebeca Hannah de Melo Oliveira, Akash Patil, Brian H Annex, Arvind P Pathak, Aleksander S Popel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Rebeca Hannah de Melo OliveiraDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Akash PatilDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Brian H AnnexMedical College of Georgia at Augusta University, Augusta, GA, USA.
Arvind P PathakDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Aleksander S PopelDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.

Funding

Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
NCI NIH HHS R01 CA196701
6 · The paper itself

Abstract

Hepatocyte growth factor (HGF) and vascular endothelial growth factor (VEGF) are important pro-angiogenic factors in angiogenesis-dependent diseases. While sharing some signaling pathways, their contrasting effect on vascular permeability remains under investigation. To explore how these factors promote angiogenesis, we developed, calibrated, and validated a data-driven mechanistic computational model of HGF and VEGF signaling in endothelial cells (ECs). We proposed that variations in permeability profiles may stem from RAC1-PAK1 activation via site-specific phosphorylation. By introducing permeability and proliferation indices, our simulations indicated a dose-dependent effect of VEGF that hampered the ability of HGF to promote vascular stability. Our simulations indicate that HGF did not require VEGFR2 activation to affect permeability and proliferation. This model has the potential to be applicable and helpful in analyzing angiogenesis-dependent diseases. It provided insights into the mechanisms of EC proliferation and vascular permeability induced by HGF and VEGF and permitted evaluation of their separate or combined effects.

Indexed as

Biological constraintsExperimental models in systems biologyIn silico biologyIntegrative aspects of cell biology

Identifiers

PMID40822341
PMCPMC12355113

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.