Evidence map›Paper›PMID 42094048›Full record

ArticleResearch square2026

Material Composition and Implantation Site Affect in vivo Device Degradation Rate.

Kendell Pawelec, Jeremy Hix, Arianna Troia, Niharika Sinha, Keith MacRenaris, Matti Kiupel, Thomas O'Halloran, Erik Shapiro

Abstract readPreprint
In one paragraph

Article in Research square, 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

8 authors.

Kendell PawelecMichigan State University.ORCID 0000-0003-2606-4136
Jeremy HixMichigan State University.
Arianna TroiaMichigan State University.
Niharika SinhaMichigan State University.
Keith MacRenarisMichigan State University.
Matti KiupelMichigan State University.
Thomas O'HalloranMichigan State University.
Erik ShapiroMichigan State University.ORCID 0000-0002-0901-5781

Funding

TR&D Project 3: Photoacoustic Detection of Metal Fluxes at the Tissue LevelP41GM135018 · NIGMS · NORTHWESTERN UNIVERSITY · PI MACRENARIS, KEITH W · 2020 to 2024
$5.8M
Radiopaque 3D printed tissue engineered scaffolds for nerve generationR01EB029418 · NIBIB · MICHIGAN STATE UNIVERSITY · PI Erik Shapiro · 2021 to 2026
$3.2M
Laser Ablation Inductively Coupled Plasma Time-of-Flight Mass Spectrometer for Advanced Bioelement Imaging ApplicationsS10OD026786 · OD · NORTHWESTERN UNIVERSITY · PI O'HALLORAN, THOMAS V · 2019 to 2019
$658k
NIBIB NIH HHS R01 EB029418NIGMS NIH HHS P41 GM135018NIH HHS S10 OD026786
6 · The paper itself

Abstract

Tissue engineering requires biomedical devices that stabilize wounds, then degrade as tissue regenerates. However, published material degradation rates are often conflicting. Incorporating monitoring functionality into implanted devices allows real-time assessment of degradation and failure, but requires contrast agents, as most biomedical devices are composed of polymeric materials invisible to medical imaging modalities. Computed tomography (CT)-visible radiopaque composites were created from 5-20wt% tantalum oxide (TaOx) nanoparticles in polymers with distinct degradation profiles: polycaprolactone (PCL), poly(lactide-co-glycolide) (PLGA) 85:15 and PLGA 50:50, representing slow, medium and fast degrading materials respectively. Radiopaque phantoms, mimicking biomedical devices, were implanted into mice intramuscularly or intraperitoneally, and monitored via CT over 20 weeks. Changes in phantom volume, including collapse and swelling, were visualized. Phantom degradation profile was dictated by polymer matrix, regardless of nanoparticle addition. Foreign body response was dependent on implant site and degradation kinetics were significantly affected in middegrading materials, transitioning from linear degradation intramuscularly to exponential degradation intraperitoneally, due to differences in inflammatory responses and fluid flow. Nanoparticle excretion via liver and spleen lagged polymer degradation, requiring modulation of nanoparticle clearance. Tracking real time device behavior advances the new era of personalized medicine, allowing individualized treatment plans to biomedical devices.

Indexed as

Biomaterialscontrast agentdegradationin situ monitoringnanoparticles

Identifiers

PMID42094048
PMCPMC13142643

What OpenQuestion holds

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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.