Evidence map›Paper›PMID 36733960›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Photoacoustic signal enhancement in dual-contrast gastrin-releasing peptide receptor-targeted nanobubbles.

Shensheng Zhao, Leanne Lee, Yang Zhao, Nu-Chu Liang, Yun-Sheng Chen

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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.

Shensheng ZhaoDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Leanne LeeDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Yang ZhaoDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Nu-Chu LiangDepartment of Psychology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Yun-Sheng ChenDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.

Funding

SINGLE MOLECULAR NANOSCOPIC IMAGING ON LIVING CELLSR21GM139022 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ZHAO, YANG · 2020 to 2021
$436k
NIGMS NIH HHS R21 GM139022
6 · The paper itself

Abstract

Translatable imaging agents are a crucial element of successful molecular imaging. Photoacoustic molecular imaging relies on optical absorbing materials to generate a sufficient signal. However, few materials approved for human use can generate adequate photoacoustic responses. Here we report a new nanoengineering approach to further improve photoacoustic response from biocompatible materials. Our study shows that when optical absorbers are incorporated into the shell of a gaseous nanobubble, their photoacoustic signal can be significantly enhanced compared to the original form. As an example, we constructed nanobubbles using biocompatible indocyanine green (ICG) and biodegradable poly(lactic-co-glycolic acid) (PLGA). We demonstrated that these ICG nanobubbles generate a strong ultrasound signal and almost four-fold photoacoustic signal compared to the same concentration of ICG solution; our theoretical calculations corroborate this effect and elucidate the origin of the photoacoustic enhancement. To demonstrate their molecular imaging performance, we conjugated gastrin-releasing peptide receptor (GRPR) targeting ligands with the ICG nanobubbles. Our dual photoacoustic/ultrasound molecular imaging shows a more than three-fold enhancement in targeting specificity of the GRPR-targeted ICG nanobubbles, compared to untargeted nanobubbles or prostate cancer cells not expressing GRPR, in a prostate cancer xenograft mouse model

Indexed as

cancer diagnosisGRPRICGmolecular imagingmultimodal imagingnanobubblesphotoacousticultrasound

Identifiers

PMID36733960
PMCPMC9887164

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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.