Evidence map›Paper›PMID 37159806›Full record

ArticleInternational journal of nanomedicine2023

Multifunctional Phase-Transition Nanoparticles for Effective Targeted Sonodynamic-Gene Therapy Against Thyroid Papillary Carcinoma.

Shihui Guan, Dengke Teng, Hui Wang, Qimeihui Wang, Xi Zhen, Guoqing Sui, Yang Wang, Lingyu Zhu, Yuanqiang Lin, Dan Jiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

11 authors at 1 institution in 1 country.

Shihui GuanDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Dengke TengDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Hui Wang *Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.ORCID 0000-0002-1608-3782
Qimeihui Wang *Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Xi ZhenDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Guoqing SuiDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Yang WangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Lingyu ZhuDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.ORCID 0000-0003-2973-588X
Yuanqiang LinDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Dan JiaoDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Feng GuoDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, 130033, People's Republic of China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In order to diagnose and treat papillary thyroid carcinoma (PTC) accurately, phase-transition nanoparticles, P@IP-miRNA (PFP@IR780/PLGA-bPEI-miRNA338-3p), was engineered. The nanoparticles (NPs) can target the tumor cells, realize the multimodal imaging, and provide sonodynamic-gene therapy for PTC. Methods: P@IP-miRNA NPs were synthesized through double emulsification method, and miRNA338-3p was attached to the surface of the NPs by electrostatic adsorption. The characterization of NPs was detected to screen out qualified nanoparticles. In vitro, laser confocal microscopy and flow cytometry were used to detect the targeting and subcellular localization of NPs. Western blot, qRT-PCR, and immunofluorescence were used to detect the ability to transfect miRNA. CCK8 kit, laser confocal microscopy and flow cytometry were used to detect the inhibition on TPC-1 cells. In vivo experiments were performed based on tumor-bearing nude mice. The efficacy of combined treatment by NPs was comprehensively evaluated, and the multimodal imaging ability of NPs in vivo and in vitro was detected. Results: P@IP-miRNA NPs were successfully synthesized which have spherical shape, uniform size, good dispersion and positive potential. The encapsulation rate of IR780 was (82.58±3.92) %, the drug loading rate was (6.60±0.32) %, and the adsorption capacity of miRNA338-3p was 41.78 μg/mg. NPs have excellent tumor targeting ability, miRNA transfection ability, ROS production ability and multimodal imaging ability in vivo and in vitro. The antitumor effect of combined treatment group was the best, and the efficacy was better than that of single factor treatment group, and the difference was statistically significant. Conclusion: P@IP-miRNA NPs can realize multimodal imaging and sonodynamic-gene therapy, providing a new idea for accurate diagnosis and treatment of PTC.

Indexed as

Carcinoma, PapillaryNanoparticlesThyroid NeoplasmsAnimalsGenetic TherapyMiceMice, NudeThyroid Cancer, PapillarymiRNA338-3Pmultimodal imagingnanoparticlespapillary thyroid carcinomasonodynamic therapy

Identifiers

PMID37159806
PMCPMC10163883
OpenAlexW4367677699

What OpenQuestion holds

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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.