Evidence map›Paper›PMID 39735729›Full record

ArticleBiomaterials research2024

A Magnetic-Responsive Biomimetic Nanosystem Coated with Glioma Stem Cell Membranes Effectively Targets and Eliminates Malignant Gliomas.

Song Deng, Dekang Nie, Yue Huang, Yu Yang, Qianqian Liu, Zesheng Sun, Qiaoji Jiang, Yuejuan Ling, Ya Wen, Jiahua Qu and 4 more

Abstract read
In one paragraph

Article in Biomaterials research, 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. 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

14 authors.

Song DengDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Dekang NieDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Yue HuangDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Yu YangDepartment of Neurology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Qianqian LiuDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Zesheng SunDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Qiaoji JiangDepartment of Neurosurgery, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Yancheng, Jiangsu 224001, P.R. China.
Yuejuan LingInstitute of Pain Medicine and Special Environmental Medicine, Nantong University, Jiangsu 226019, P.R. China.
Ya WenResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Jiahua QuDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Jialiang LinDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Yi WangCenter for Advanced Low-Dimension Materials, State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry, Chemical Engineering and Biotechnology, Donghua University, Shanghai 201600, P.R. China.
Rongqin HuangSchool of Pharmacy, Key Laboratory of Smart Drug Delivery (Ministry of Education), Fudan University, Shanghai 201203, P.R. China.
Jinlong ShiDepartment of Neurosurgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, P.R. China.ORCID https://orcid.org/0009-0003-4814-955X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is among the most challenging malignant brain tumors, making the development of new treatment strategies highly necessary. Glioma stem cells (GSCs) markedly contribute to drug resistance, radiation resistance, and tumor recurrence in GBM. The therapeutic potential of nanomaterials targeting GSCs in GBM urgently needs to be explored. A magnetic-responsive biomimetic nanosystem (FDPM), coated with glioma stem cell membranes (CMs), was designed for the targeted eradication of GSCs as well as their associated tumor cells. Identified nanobodies were extensively characterized with various assays. The application tests on nanomaterials were conducted in vitro and in vivo. The tumor-suppressive effects of the nanosystem were evaluated in vitro and in vivo. FDPM can be artificially directed under magnetic guidance while inheriting various biological functions from CM. Upon intravenous injection, FDPM was drawn to the tumor site by magnetic attraction, where it could cross the blood-brain barrier aided by CM. Its homologous targeting ability originates from active proteins on CM, enabling it to specifically target GSCs and related tumor cells. The encapsulated doxorubicin (DOX) within the nanoparticle then destroyed these tumor cells. FDPM demonstrated excellent biocompatibility and tumor-targeting efficiency, effectively targeting malignant gliomas initiated by GSCs. FDPM significantly reduced tumor cells, inhibited tumor growth, and notably extended the survival of glioma-bearing nude mice. The findings position FDPM as a promising nanoplatform to target GSCs and related tumor cells for improving the therapeutic effect of glioma.

Identifiers

PMID39735729
PMCPMC11676004

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.