Evidence map›Paper›PMID 30804669›Full record

ArticleInternational journal of nanomedicine2019

Modification of fliposomes with a polycation can enhance the control of pH-induced release.

Anastasia Yu Lokova, Olga V Zaborova

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 2 countries.

Anastasia Yu LokovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russian Federation, olga.zaborova@gmail.com.
Olga V ZaborovaDepartment of Chemistry, M.V. Lomonosov Moscow State University, 119991 Moscow, Russian Federation, olga.zaborova@gmail.com.
Lomonosov Moscow State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNowadays, the development of stimuli-sensitive nanocontainers for targeted drug delivery is of great value. Encapsulation of a drug in a pH-sensitive liposomal container not only provides protective and transport functions, but also helps to create a system with a controlled release mechanism.

methodsIn this study, we investigated the influence of a cationic polypeptide on the pH-induced release of anticancer drug doxorubicin (DXR) from the anionic fliposomes - liposomes consisting of a neutral lipid, an anionic lipid (prone to interact with a polycation), and a lipid trigger (imparting the pH-sensitivity).

resultsFirst, we showed the possibility to control the pH-induced release by the simple modification of the anionic fliposomes with linear polylysine. Second, we optimized the fliposomal composition such that the obtained fliposomes responded to the pH changes only when complexed with the polycation ("turning on" the release). Finally, pH-induced release from the polylysine-modified anionic fliposomes was tested on an anticancer drug DXR.

conclusionWe have succeeded in developing "smart" stimuli-sensitive nanocontainers capable of tunable controlled release of a drug. Moreover, based on the data on release of a low molecular salt, one can predict the release profile of DXR.

Indexed as

Drug LiberationDoxorubicinDrug Delivery SystemsFluorescenceHydrogen-Ion ConcentrationLipidsLiposomesPolyaminesPolyelectrolytesPolylysineTime FactorsDoxorubicinLipidsLiposomesPolyaminesPolyelectrolytesPolylysinecontrollable drug releasepH-sensitivitypolylysinepolymer–colloid complexstimuli-sensitive nanocontainer

Identifiers

PMID30804669
PMCPMC6371938
OpenAlexW2911726934

What OpenQuestion holds

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LicenceCC BY-NC
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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.