Evidence map›Paper›PMID 33466992›Full record

ArticleMaterials (Basel, Switzerland)2021

Physicochemical Factors That Influence the Biocompatibility of Cationic Liposomes and Their Ability to Deliver DNA to the Nuclei of Ovarian Cancer SK-OV-3 Cells.

Mengwei Sun, Yuhao Yuan, Fake Lu, Anthony J Di Pasqua

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

Mengwei SunDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Binghamton University, 96 Corliss Ave., Johnson City, NY 13790, USA.
Yuhao YuanDepartment of Biomedical Engineering, The Thomas J. Watson College of Engineering and Applied Science, Binghamton University, 4400 Vestal Pkwy. E., Binghamton, NY 13902, USA.ORCID 0000-0003-0731-0127
Fake LuDepartment of Biomedical Engineering, The Thomas J. Watson College of Engineering and Applied Science, Binghamton University, 4400 Vestal Pkwy. E., Binghamton, NY 13902, USA.ORCID 0000-0001-6281-7639
Anthony J Di PasquaDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, Binghamton University, 96 Corliss Ave., Johnson City, NY 13790, USA.

Funding

NIH HHS 5R00EB020749
6 · The paper itself

Abstract

Cationic liposomes composed of 3-[N-(N',N'-dimethylaminoethane)-carbamoyl] cholesterol (DC-chol) and dioleoylphosphatidylethanolamine (DOPE) have previously been shown to have applications in gene delivery. Our study aims to explore the effects of inclusion of polyethylene glycol (PEG) and using different molar ratios of DC-chol/DOPE on size, zeta potential, cytotoxicity and DNA delivery of DC-chol/DOPE liposomes. Our results show that PEGylation reduces the cytotoxicity of DC-chol/DOPE liposomes, and, furthermore, PEGylated liposome-DNA lipoplexes are smaller in size and more uniform in size distribution than those that are not PEGylated. Additionally, toxicity against ovarian cancer SKOV-3 cells decreases with the amount of cationic DC-chol present in the formulation; however, decreased delivery of DNA to cellular nuclei is also observed. Transfection with the PEGylated liposomes was successfully demonstrated using plasmid DNA with a known functional outcome. These results offer further insight into physicochemical properties important for cationic liposomes as vehicles for DNA delivery and demonstrate the potential of PEGylated DC-chol/DOPE liposomes as systemic delivery carriers for DNA-mediated ovarian cancer therapy.

Indexed as

DNA deliveryliposomeovarian cancer

Identifiers

PMID33466992
PMCPMC7830351

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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.