Evidence map›Paper›PMID 37446588›Full record

ArticleMolecules (Basel, Switzerland)2023

Ultrasonic Transformation of Antibiotic Molecules into a Selective Chemotherapeutic Nanodrug.

Haiyan Zhu, Sukhvir Kaur Bhangu, Muthupandian Ashokkumar, Francesca Cavalieri

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
0.3field-weighted citation impact, top 48% of its field
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, 3 citations in OpenAlex.

  1. Review
  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

4 authors at 3 institutions in 2 countries.

Haiyan ZhuSchool of Chemistry, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.ORCID 0000-0001-8716-1648
Sukhvir Kaur BhanguSchool of Science, RMIT University, Melbourne, VIC 3000, Australia.
Muthupandian AshokkumarSchool of Chemistry, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.ORCID 0000-0002-8442-1499
Francesca CavalieriSchool of Science, RMIT University, Melbourne, VIC 3000, Australia.
The University of Melbourne · AURMIT University · AUUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound-based engineering of carrier-free nanodrugs by supramolecular self-assembly has recently emerged as an innovative and environmentally friendly synthetic approach. By applying high-frequency sound waves (490 kHz) in aqueous solutions, the transformation of small chemotherapeutic and antibiotic drug molecules into carrier-free nanodrugs with anticancer and antimicrobial activities was recently achieved. The transformation of the antibiotic drug molecules, i.e., doxycycline, into stable nanodrugs (~130 nm) with selective anticancer activity was achieved without requiring organic solvents, chemical agents, or surfactants. The obtained nanodrug exhibited reactive oxygen species (ROS)-mediated cytotoxicity on human breast cancer (MDA-MB 231 cells) but a negligible antiproliferative effect on healthy fibroblast cells. Imaging by super-resolution microscopy (STORM) provided insights into the intracellular trafficking and endosomal escape of the nanodrugs. Overall, these findings suggest that small antibiotic drugs can be transformed into chemotherapeutic nanodrugs with high selectivity against cancer cells.

Indexed as

Antineoplastic AgentsNanoparticlesAnti-Bacterial AgentsHumansUltrasonicsAnti-Bacterial AgentsAntineoplastic Agentsanticancerdoxycyclineintracellular traffickingnanoparticlesultrasound

Identifiers

PMID37446588
PMCPMC10343459
OpenAlexW4381798597

What OpenQuestion holds

Textmetadata
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.