Evidence map›Paper›PMID 42761648›Full record

ArticleMaterials today. Bio2026

Resolving differential vascular graft remodeling using longitudinal multiphoton tracking in a 3D culture platform.

David R Maestas, Trin R Murphy, Katarina M Martinet, Tracey Moyston, Leon Xuanyu Min, Ali Behrangzade, Brock J Pemberton, Jincy Joy, Sang-Ho Ye, George S Hussey and 3 more

Abstract read
In one paragraph

Article in Materials today. Bio, 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

5 · Who and what money

Authors and funding

13 authors.

David R MaestasDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Trin R MurphyDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Katarina M MartinetDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Tracey MoystonDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Leon Xuanyu MinDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Ali BehrangzadeDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Brock J PembertonDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Jincy JoyDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Sang-Ho YeDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
George S HusseyDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Mohamad AzharDepartment of Cell Biology & Anatomy, School of Medicine, University of South Carolina, Columbia, SC, USA.
William R WagnerDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Jonathan P Vande GeestDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Transnational Research Imaging Core (TRI)P30GM131959 · NIGMS · CLEMSON UNIVERSITY · PI LATOUR, ROBERT A · 2019 to 2023
$5.9M
Preclinical Assessment of a Compliance Matched Biopolymer Vascular Graft - Diversity SupplementR01HL157017 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VANDE GEEST, JONATHAN PIETER · 2022 to 2025
$3.1M
Transformation of metal oxide nanomaterials in wildland-urban interface fires causes congenital heart diseaseR21ES037105 · NIEHS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI AZHAR, MOHAMAD · 2025 to 2025
$410k
Develop natural compound emodin as a novel therapy for calcific aortic valve diseaseR41HL172481 · NHLBI · ACEPRE, LLC · PI AZHAR, MOHAMAD · 2024 to 2024
$300k
Sex Specific Differences in the Remodeling of a Biopolymer Based Tissue Engineered Vascular GraftF31HL176056 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Katarina Martinet · 2025 to 2026
$100k
NHLBI NIH HHS F31 HL176056NHLBI NIH HHS R01 HL157017NHLBI NIH HHS R41 HL172481NHLBI NIH HHS T32 HL076124NIEHS NIH HHS R21 ES037105NIGMS NIH HHS P30 GM131959
6 · The paper itself

Abstract

The long-term performance of tissue-engineered scaffolds, particularly small-diameter vascular grafts, is shaped by remodeling events at the tissue-graft interface, yet these processes remain difficult to resolve longitudinally and at microstructural resolution in conventional implantation models. Here we develop an organotypic artery-graft model that preserves cylindrical vessel geometry and enables non-destructive label-free multiphoton monitoring of interface remodeling. Using second harmonic generation and two-photon excited fluorescence, we capture evolving fibrillar collagen architecture and cellularization over time, demonstrate compatibility with multiple biomaterial classes, show integration with rat and mouse explants, and demonstrate compatibility with live-cell dyes and fluorescent reporter tissues. The platform resolved distinct remodeling responses to transforming growth factor-β isoforms (TGF-β1, -β2, and -β3), revealing differential shifts in collagen-fiber distributions, accompanied by changes in matrix-remodeling and contractile gene expression. Across two graft designs the culture-derived remodeling phenotypes, collagen fiber distributions, and remodeling trajectories agreed with those observed in long-term 6-month interpositional explants. Together, these results establish an accessible intermediate platform for interrogating artery-graft remodeling, tracking these trajectories, and prioritizing graft designs through interface-resolved outcomes before and alongside implantation studies.

Indexed as

Collagen remodelingMultiphoton imagingSecond harmonic generationThree-dimensional (3D) cultureTissue-engineered vascular graftsVascular grafts

Identifiers

PMID42761648
PMCPMC13586865

What OpenQuestion holds

Textmetadata
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Registered trials

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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.