Evidence map›Paper›PMID 38644723›Full record

ArticleCurrent pharmaceutical design2024

Construction of GPC3-modified Lipopolymer SiRNA Delivery System.

Dandan Sun, Xiaoyu Li, Yaru Liu, Jishan Quan, Guangyu Jin

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Article in Current pharmaceutical design, 2024. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Dandan SunCollege of Pharmacy, Yanbian University, Yanji 133000, Jilin Province, P.R. China.
Xiaoyu LiDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji 133000, Jilin Province, P.R. China.
Yaru LiuDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji 133000, Jilin Province, P.R. China.
Jishan QuanCollege of Pharmacy, Yanbian University, Yanji 133000, Jilin Province, P.R. China.
Guangyu JinDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji 133000, Jilin Province, P.R. China.

Funding

Department of Science and Technology of Jilin Province 20200201511JCNational Natural Science Foundation of China (NSFC) 81860304,82160329
6 · The paper itself

Abstract

backgroundGene therapy has been widely concerned because of its unique therapeutic mechanism. However, due to the lack of safe and effective carries, it has not been widely used in clinical practice. Glypican 3 (GPC3) is a highly specific proteoglycan for hepatocellular carcinoma and is a potential diagnostic and therapeutic target for hepatocellular carcinoma. Herein, to monitor the effect of gene therapy and enhance the transfection efficiency of gene carriers, GPC3-modified lipid polyethyleneimine-modified superparamagnetic nanoparticle (GLPS), a type of visualized carrier for siRNA (small-interfering RNA) targeting the liver, was prepared.

methodsWe performed in vitro gene silencing, cytotoxicity, and agarose gel electrophoresis to identify the optimal GLPS formulation.

resultsThe GLPS optimal formulation consisted of LPS and siRNA at a mass ratio of 25:1 and LPS and DSPE-PEG-GPC3 at a molar ratio of 2:3. GLPS exhibited evident liver-targeting function.

conclusionGLPS could potentially serve as an effective carrier for liver-targeted MRI monitoring and siRNA delivery.

Indexed as

GlypicansRNA, Small InterferingAnimalsGene SilencingGenetic TherapyGene Transfer TechniquesHep G2 CellsHumansLipidsLiverPolyethyleneimineRabbitsGlypicansGPC3 protein, humanLipidsPolyethyleneimineRNA, Small Interferinggene carriergene therapyGPC3-modified lipid polyethyleneimine-modified superparamagnetic nanoparticle (GLPS)hepatocellular carcinoma.therapeutic mechanismtransfection efficiency

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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.