Evidence map›Paper›PMID 38004622›Full record

ArticlePharmaceutics2023

In Vitro/In Vivo Preparation and Evaluation of cRGDyK Peptide-Modified Polydopamine-Bridged Paclitaxel-Loaded Nanoparticles.

Dan Yun, Dengyuan Liu, Jinlin Liu, Yanyi Feng, Hongyu Chen, Simiao Chen, Qingchun Xie

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 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
0.5field-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, 5 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

7 authors at 1 institution in 1 country.

Dan YunCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Dengyuan LiuCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Jinlin LiuCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Yanyi FengCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Hongyu ChenCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Simiao ChenCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Qingchun XieCenter for New Drug Research and Development, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Guangdong Pharmaceutical University · CN

Funding

Innovation Project of Guangdong Graduate Education 2022SFKC072
6 · The paper itself

Abstract

Cancer remains a disease with one of the highest mortality rates worldwide. The poor water solubility and tissue selectivity of commonly used chemotherapeutic agents contribute to their poor efficacy and serious adverse effects. This study proposes an alternative to the traditional physicochemically combined modifications used to develop targeted drug delivery systems, involving a simpler surface modification strategy. cRGDyK peptide (RGD)-modified PLGA nanoparticles (NPs) loaded with paclitaxel were constructed by coating the NP surfaces with polydopamine (PD). The average particle size of the produced NPs was 137.6 ± 2.9 nm, with an encapsulation rate of over 80%. In vitro release tests showed that the NPs had pH-responsive drug release properties. Cellular uptake experiments showed that the uptake of modified NPs by tumor cells was significantly better than that of unmodified NPs. A tumor cytotoxicity assay demonstrated that the modified NPs had a lower IC

Indexed as

antitumor effectnanoparticlesPLGARGDsurface modification

Identifiers

PMID38004622
PMCPMC10674738
OpenAlexW4388824392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.