Evidence map›Paper›PMID 41206426›Full record

ArticleAnnals of biomedical engineering2026

Predicted Effects of Patient Variability and Notch Signaling on In Situ Vascular Tissue Engineering.

Jordy G M van Asten, Cecilia M Sahlgren, Jay D Humphrey, Tommaso Ristori, Sandra Loerakker

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jordy G M van AstenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID http://orcid.org/0000-0003-4075-8484
Cecilia M SahlgrenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Tommaso RistoriDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Sandra LoerakkerDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands. s.loerakker@tue.nl.

Funding

European Research Council 771168European Research Council 802967H2020 Marie Skłodowska-Curie Actions 846617
6 · The paper itself

Abstract

In situ vascular tissue engineering aims to create living blood vessel replacements from biodegradable scaffolds. The functionality of these tissue-engineered vascular grafts (TEVGs) has often been limited, with substantial failure rate and outcome variability. Current optimization strategies seem unable to satisfy all requirements for functional TEVGs and the key sources of outcome variability remain unclear. Here, we computationally explored potential sources of TEVG variability and effects of manipulating Notch, a key vascular signaling pathway. We simulated the evolution of a TEVG from a degradable scaffold under varying patient-specific conditions, driven by immuno-mechano-mediated growth and remodeling mechanisms including Notch. Our simulations suggest that differential inflammatory production, scaffold degradation, and scaffold axial pre-stretch are major sources of variability in TEVG outcome. Immobilizing Jagged ligands to the scaffold did not substantially reduce outcome variability in our simulations, but did improve some aspects of TEVG functionality. This intervention may therefore be beneficial in combination with other treatments that compensate for predicted negative effects. Overall, our model may advance future TEVG optimization by incorporating Notch manipulations under various patient-specific conditions.

Indexed as

Blood Vessel ProsthesisModels, CardiovascularReceptors, NotchSignal TransductionTissue EngineeringHumansTissue ScaffoldsReceptors, NotchComputational modelingGrowth and remodelingMechanosensingNotch signalingVascular tissue engineering

Identifiers

PMID41206426
PMCPMC12852268

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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.