Evidence map›Paper›PMID 22707046›Full record

ArticleMolecular imaging and biology2013

Real-time assessment of ultrasound-mediated drug delivery using fibered confocal fluorescence microscopy.

Marc Derieppe, Anna Yudina, Matthieu Lepetit-Coiffé, Baudouin Denis de Senneville, Clemens Bos, Chrit Moonen

Abstract read
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Article in Molecular imaging and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Real-time monitoring of magnetic drug targeting using fibered confocal fluorescence microscopy.Journal of controlled release : official journal of the Controlled Release Society · 2016
    Article
  6. Article
  7. Review
  8. A review of low-intensity ultrasound for cancer therapy.Ultrasound in medicine & biology · 2015
    Review
  9. Article
  10. 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

6 authors.

Marc DerieppeLaboratory for Molecular and Functional Imaging: From Physiology to Therapy, FRE 3313-CNRS and University Bordeaux Segalen, 146, rue Léo Saignat, Case 117, 33076, Bordeaux cedex, France.
Anna Yudina
Matthieu Lepetit-Coiffé
Baudouin Denis de Senneville
Clemens Bos
Chrit Moonen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTransport across the plasma membrane is a critical step of drug delivery for weakly permeable compounds with intracellular mode of action. The purpose of this study is to demonstrate real-time monitoring of ultrasound (US)-mediated cell-impermeable model drug uptake with fibered confocal fluorescence microscopy (FCFM). PROCEDURES: An in vitro setup was designed to combine a mono-element US transducer, a cell chamber with a monolayer of tumor cells together with SonoVue microbubbles, and a FCFM system. The cell-impermeable intercalating dye, SYTOX Green, was used to monitor US-mediated uptake.

resultsThe majority of the cell population showed fluorescence signal enhancement 10 s after US onset. The mean rate constant k of signal enhancement was calculated to be 0.23 ± 0.04 min(-1).

conclusionsFeasibility of real-time monitoring of US-mediated intracellular delivery by FCFM has been demonstrated. The method allowed quantitative assessment of model drug uptake, holding great promise for further local drug delivery studies.

Indexed as

AnimalsCell Line, TumorCell Membrane PermeabilityDrug Delivery SystemsHumansKineticsMicrobubblesMicroscopy, ConfocalMicroscopy, FluorescenceModels, BiologicalMolecular ImagingOrganic ChemicalsRatsUltrasonographyOrganic ChemicalsSYTOX Green

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.