Evidence map›Paper›PMID 35895252›Full record

ArticleApplied biochemistry and biotechnology2023

Entrapment and Delivery of Doxorubicin: Employing a Permeable Lipopeptide-Based Hydrogel as an Efficient Cationic Binder.

Maryam Fanaei, Giti Emtiazi

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2023. 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
0.3field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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 1 country.

Maryam FanaeiFaculty of Biological Science and Technology, Department of Cellular and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
Giti EmtiaziFaculty of Biological Science and Technology, Department of Cellular and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran. emtiazi@sci.ui.ac.ir.
University of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipopeptides have been the subject of great interest as vehicles for drug delivery, but the potential usage of their biological composites has not been extensively studied. Here, the extracellular lipopeptide composite (ELC) of a lipopeptide-producing bacterium was extracted and examined to deliver doxorubicin (DOX) as a cationic drug. MALDI-TOF mass spectrometry analysis on the lipopeptide moiety of ELC revealed that this hydrogel consists of 13 lipopeptide isomers. Furthermore, scanning electron microscope (SEM) studies showed that the permeability of ELC in acidic pH was significantly more than basic condition. In this study, 81% of DOX was successfully entrapped in ELC and the release of the drug was measured in acidic, neutral, and basic conditions. The results indicated that the release profile of the drug in acidic pH was about 10 and 16 fold more than neutral and basic conditions, respectively. Besides, the toxicity of DOX-conjugated ELC against PBMC cells was more than free DOX, suggesting the adequate drug release from ELC. Since the surrounding environment of tumor cells is often acidic, this pH-sensitive carrier could be a candidate for cancer therapy to improve the exposure of tumor cells to the drugs.

Indexed as

LipopeptidesNanoparticlesDoxorubicinDrug CarriersDrug Delivery SystemsDrug LiberationHydrogelsHydrogen-Ion ConcentrationLeukocytes, MononuclearDoxorubicinDrug CarriersHydrogelsLipopeptidesAnionBiosurfactantCell cultureDrug deliverypH-sensitive

Identifiers

PMID35895252
OpenAlexW4288176091

What OpenQuestion holds

Textmetadata
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.