Evidence map›Paper›PMID 37425749›Full record

ArticlebioRxiv : the preprint server for biology2023

Truly tiny acoustic biomolecules for ultrasound imaging and therapy.

Bill Ling, Bilge Gungoren, Yuxing Yao, Przemysław Dutka, Cameron A B Smith, Justin Lee, Margaret B Swift, Mikhail G Shapiro

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Bill LingDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Bilge GungorenDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Yuxing YaoDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Przemysław DutkaDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Cameron A B SmithDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Justin LeeDivision of Biology and Biological Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Margaret B SwiftDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Mikhail G ShapiroDivision of Chemistry and Chemical Engineering, California Institute of Technology; Pasadena, CA 91125, USA.
Pasadena City College · US

Funding

Biogenic Gas Nanostructures As Molecular Imaging Reporters For UltrasoundR01EB018975 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Mikhail Shapiro · 2014 to 2026
$5.9M
NIBIB NIH HHS R01 EB018975
6 · The paper itself

Abstract

Nanotechnology offers significant advantages for medical imaging and therapy, including enhanced contrast and precision targeting. However, integrating these benefits into ultrasonography has been challenging due to the size and stability constraints of conventional bubble-based agents. Here we describe bicones, truly tiny acoustic contrast agents based on gas vesicles, a unique class of air-filled protein nanostructures naturally produced in buoyant microbes. We show that these sub-80 nm particles can be effectively detected both in vitro and in vivo, infiltrate tumors via leaky vasculature, deliver potent mechanical effects through ultrasound-induced inertial cavitation, and are easily engineered for molecular targeting, prolonged circulation time, and payload conjugation.

Identifiers

PMID37425749
PMCPMC10327013
OpenAlexW4382725422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.