ReviewBiophysical reviews2024
Photopolymerizable robust lipids towards reliability and their applications.
Review in Biophysical reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic lipids have been studied as components in membrane models and drug delivery systems. Polymerizable phospholipids, especially photosensitive ones, can form new bilayer bonds when UV light irradiates. These phospholipids have been known since the 1980s, but in the last few years, new applications have been highlighted. Its use in drug delivery systems is interesting since the photopolymerization reaction produces highly stable vesicles. Additionally, the rearrangement of the acyl chains during the photopolymerization process can be applied in the generation of pores, resulting in systems that serve for drug-controlled release. In this article, our goal was to envision earlier photopolymers' publications towards the implications of these versatile phospholipids that led to proposed systems for drug delivery and controlled release of drugs at specific sites. This review offers a broad background towards a simple, reliable, and robust platform to make its application available.
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Registered trials
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.