Evidence map›Paper›PMID 42272958›Full record

ArticleBioengineering & translational medicine2026

Enabling in vivo imaging in low-resource settings: Computed tomography imaging of gold-loaded polymersomes for the detection of glioblastoma.

Emily Barnett, Joey Lavalla, Pranavi Thatavarthi, Isabel Ray, Taylor Hamas, Jessica Jager, Vaishnavi Kanduri, Jasmine White, Elizabeth Singleton, Jordan Drinks and 3 more

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2026. 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

13 authors.

Emily BarnettDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Joey LavallaDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Pranavi ThatavarthiDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Isabel RayDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Taylor HamasDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Jessica JagerDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Vaishnavi KanduriDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Jasmine WhiteDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Elizabeth SingletonDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Jordan DrinksDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Megan PitzDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.
Angela Alexander-BryantDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.ORCID https://orcid.org/0000-0002-4102-7037
Jessica LarsenDepartment of Chemical and Biomolecular Engineering Clemson University Clemson South Carolina USA.ORCID https://orcid.org/0000-0003-2756-9523

Funding

South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
Regulation of Cryptosporidium DevelopmentP20GM146584 · NIGMS · CLEMSON UNIVERSITY · PI Katelyn Ann Walzer · 2022 to 2026
$13.5M
Transporting Stable RNA Across the Blood-Brain Barrier for On-Demand TranslationDP2NS148060 · NINDS · CLEMSON UNIVERSITY · PI LARSEN, JESSICA · 2025 to 2025
$1.3M
Noninvasive nanoparticle-directed therapy to the peripheral nervous systemR01NS142877 · NINDS · CLEMSON UNIVERSITY · PI Jessica Larsen · 2025 to 2026
$638k
Nanoparticle Distributed Intravenous Enzyme Replacement Therapy (NanoDIVERT)R21NS133477 · NINDS · CLEMSON UNIVERSITY · PI LARSEN, JESSICA MARIE · 2023 to 2023
$405k
NIGMS NIH HHS P20 GM103499NIGMS NIH HHS P20 GM146584NINDS NIH HHS DP2 NS148060NINDS NIH HHS R01 NS142877NINDS NIH HHS R21 NS133477
6 · The paper itself

Abstract

Glioblastoma (GBM) is one of the most aggressive and rapidly progressing brain tumors, characterized by a low survival rate, in part due to insufficient diagnostic tools. Computed tomography (CT), although widely available, is limited in use for GBM diagnosis by the suboptimal performance of current clinically approved contrast agents. This study focuses on the development of gold nanoparticle (AuNP)-loaded polymersomes (AuPs) to improve the detection of GBM. We synthesized polyethylene glycol-b-polylactic acid (PEG-b-PLA) polymersomes with high AuNP loading. Increasing the concentrations of AuNPs in polymersomes resulted in enhanced contrast using clinical CT. Furthermore, AuPs bound to cell-penetrating peptide TAT were cytocompatible with U87-MG GBM cells at concentrations up to 100 mg/mL. Uptake studies using both fluorescence microscopy and flow cytometry confirmed the internalization of AuPs into GBM cells, with a direct correlation between AuP concentration and uptake efficiency. MicroCT imaging also confirmed a similar trend; >300% enhanced contrast compared to PBS controls was observed with increasing concentrations of AuPs and was maintained in vivo at 337-863 HU. Overall, these results demonstrate that a polymersome-based system for AuNPs enhances CT image contrast, suggesting that this approach could be feasible for improving GBM detection via CT.

Indexed as

computed tomographyglioblastomagold nanoparticlespolymersomes

Identifiers

PMID42272958
PMCPMC13247402

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.