Evidence map›Paper›PMID 30376028›Full record

ArticleNanoscale2018

Codelivery of a cytotoxin and photosensitiser via a liposomal nanocarrier: a novel strategy for light-triggered cytosolic release.

Elnaz Yaghini, Ruggero Dondi, Karen J Edler, Marilena Loizidou, Alexander J MacRobert, Ian M Eggleston

Abstract read
In one paragraph

Article in Nanoscale, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. An Artificial Intelligent Signal Amplification System forFrontiers in bioengineering and biotechnology · 2019
    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.

Elnaz YaghiniDivision of Surgery and Interventional Science, University College London, Royal Free Campus, Rowland Hill Street, London NW3 2PE, UK. a.macrobert@ucl.ac.uk elnaz.yaghini@ucl.ac.uk.
Ruggero Dondi
Karen J Edler
Marilena Loizidou
Alexander J MacRobert
Ian M Eggleston

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endosomal entrapment is a key issue for the intracellular delivery of many nano-sized biotherapeutics to their cytosolic or nuclear targets. Photochemical internalisation (PCI) is a novel light-based solution that can be used to trigger the endosomal escape of a range of bioactive agents into the cytosol leading to improved efficacy in pre-clinical and clinical studies. PCI typically depends upon the endolysosomal colocalisation of the bioactive agent with a suitable photosensitiser that is administered separately. In this study we demonstrate that both these components may be combined for codelivery via a novel multifunctional liposomal nanocarrier, with a corresponding increase in the biological efficacy of the encapsulated agent. As proof of concept, we show here that the cytotoxicity of the 30 kDa protein toxin, saporin, in MC28 fibrosarcoma cells is significantly enhanced when delivered via a cell penetrating peptide (CPP)-modified liposome, with the CPP additionally functionalised with a photosensitiser that is targeted to endolysosomal membranes. This innovation opens the way for the efficient delivery of a range of biotherapeutics by the PCI approach, incorporating a clinically proven liposome delivery platform and using bioorthogonal ligation chemistries to append photosensitisers and peptides of choice.

Indexed as

AnimalsCell Line, TumorCell-Penetrating PeptidesCell SurvivalCytosolCytotoxinsFibrosarcomaLightLiposomesMaleimidesMicroscopy, ConfocalPhotosensitizing AgentsPorphyrinsRatsSaporinsAlexa Fluor 488 C5-maleimideCell-Penetrating PeptidesCytotoxinsLiposomesMaleimidesPhotosensitizing AgentsPorphyrinsSaporins

Identifiers

PMID30376028
PMCPMC6251340

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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.