Evidence map›Paper›PMID 35023918›Full record

ArticleInternational journal of nanomedicine2022

Highly Optimized Iron Oxide Embedded Poly(Lactic Acid) Nanocomposites for Effective Magnetic Hyperthermia and Biosecurity.

Chiseon Ryu, Hwangjae Lee, Hohyeon Kim, Seong Hwang, Yaser Hadadian, Ayeskanta Mohanty, In-Kyu Park, Beongki Cho, Jungwon Yoon, Jae Young Lee

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  8. New FeAntibiotics (Basel, Switzerland) · 2024
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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

10 authors at 2 institutions in 1 country.

Chiseon RyuSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Hwangjae LeeSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Hohyeon KimSchool of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Seong HwangSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Yaser HadadianSchool of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.ORCID 0000-0003-2176-2891
Ayeskanta MohantyDepartment of Biomedical Sciences, Chonnam National University Medical School, Hwasun-gun, Jeollanam-do, Republic of Korea.
In-Kyu ParkDepartment of Biomedical Sciences, Chonnam National University Medical School, Hwasun-gun, Jeollanam-do, Republic of Korea.ORCID 0000-0002-8522-8236
Beongki ChoSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Jungwon YoonSchool of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Jae Young LeeSchool of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.ORCID 0000-0003-4493-2494
Gwangju Institute of Science and Technology · KRChonnam National University Hwasun Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIron oxide magnetic nanoparticles (IONPs) have attracted considerable attention for various biomedical applications owing to their ease of synthesis, strong magnetic properties, and biocompatibility. In particular, IONPs can generate heat under an alternating magnetic field, the effects of which have been extensively studied for magnetic hyperthermia therapy. However, the development of IONPs with high heating efficiency, biocompatibility, and colloidal stability in physiological environments is still required for their safe and effective application in biomedical fields.

methodsWe synthesized magnetic IONP/polymer nanocomposites (MNCs) by embedding IONPs in a poly(L-lactic acid) (PLA) matrix via nanoemulsion. The IONP contents (Fe: 9-22 [w/w]%) in MNCs were varied to investigate their effects on the magnetic and hyperthermia performances based on their optimal interparticle interactions. Further, we explored the stability, cytocompatibility, biodistribution, and in vivo tissue compatibility of the MNCs.

resultsThe MNCs showed enhanced heating efficiency with over two-fold increase compared to nonembedded bare IONPs. The relationship between the IONP content and heating performance in MNCs was nonmonotonous. The highest heating performance was obtained from MNC2, which contain 13% Fe (w/w), implying that interparticle interactions in MNCs can be optimized to achieve high heating performance. In addition, the MNCs exhibited good colloidal stability under physiological conditions and maintained their heating efficiency during 48 h of incubation in cell culture medium. Both in vitro and in vivo studies revealed excellent biocompatibility of the MNC.

conclusionOur nanocomposites, comprising biocompatible IONPs and PLA, display improved heating efficiency, good colloidal stability, and cytocompatibility, and thus will be beneficial for diverse biomedical applications, including magnetic hyperthermia for cancer treatment.

Indexed as

Hyperthermia, InducedNanocompositesBiosecurityFerric CompoundsMagnetic FieldsPolyestersTissue DistributionFerric Compoundsferric oxidePolyesterspoly(lactide)hyperthermiainter-particle interactionsiron oxide nanoparticlenanomedicine

Identifiers

PMID35023918
PMCPMC8743620
OpenAlexW4205505852

What OpenQuestion holds

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LicenceCC BY-NC
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.