Evidence map›Paper›PMID 37834402›Full record

ArticleInternational journal of molecular sciences2023

Transferrin-Conjugated Melittin-Loaded L-Arginine-Coated Iron Oxide Nanoparticles for Mitigating Beta-Amyloid Pathology of the 5XFAD Mouse Brain.

Moonseok Choi, Junghwa Ryu, Huy Duc Vu, Dongsoo Kim, Young-Jin Youn, Min Hui Park, Phuong Tu Huynh, Gyu-Bin Hwang, Sung Won Youn, Yun Ha Jeong

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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  9. Therapeutic Bioactivity Exerted by theMolecules (Basel, Switzerland) · 2025
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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.

Moonseok ChoiDepartment of Neurodegenerative Diseases Research Group, Korea Brain Research Institute, 61, Cheomdan ro, Dong gu, Daegu 41062, Republic of Korea.
Junghwa RyuDepartment of Radiology, School of Medicine, Daegu Catholic University, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Republic of Korea.
Huy Duc VuDepartment of Radiology, School of Medicine, Daegu Catholic University, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Republic of Korea.ORCID 0000-0003-4551-1368
Dongsoo KimDepartment of Neurodegenerative Diseases Research Group, Korea Brain Research Institute, 61, Cheomdan ro, Dong gu, Daegu 41062, Republic of Korea.
Young-Jin YounDepartment of Neurodegenerative Diseases Research Group, Korea Brain Research Institute, 61, Cheomdan ro, Dong gu, Daegu 41062, Republic of Korea.
Min Hui ParkDepartment of Radiology, School of Medicine, Daegu Catholic University, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Republic of Korea.
Phuong Tu HuynhDepartment of Radiology, School of Medicine, Daegu Catholic University, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Republic of Korea.
Gyu-Bin HwangDepartment of Neurodegenerative Diseases Research Group, Korea Brain Research Institute, 61, Cheomdan ro, Dong gu, Daegu 41062, Republic of Korea.
Sung Won YounDepartment of Radiology, School of Medicine, Daegu Catholic University, 33, Duryugongwon-ro 17-gil, Nam-gu, Daegu 42472, Republic of Korea.
Yun Ha JeongDepartment of Neurodegenerative Diseases Research Group, Korea Brain Research Institute, 61, Cheomdan ro, Dong gu, Daegu 41062, Republic of Korea.ORCID 0000-0001-7703-6659
Daegu Catholic University · KRKorea Brain Research Institute · KR

Funding

the Korea Brain Research Institute basic research program funded by the Ministry of Science, ICT 23-BR-02-03the Korea Brain Research Institute basic research program funded by the Ministry of Science, ICT 23-BR-03-02the Ministry of Science, ICT NRF-2019R1C1C1011390the National Research Foundation grants funded by the Korean government 2020R1I1A3067073the National Research Foundation grants funded by the Korean government 2021R1I1A1A01052330
6 · The paper itself

Abstract

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative diseases and a major contributor to dementia. Although the cause of this condition has been identified long ago as aberrant aggregations of amyloid and tau proteins, effective therapies for it remain elusive. The complexities of drug development for AD treatment are often compounded by the impermeable blood-brain barrier and low-yield brain delivery. In addition, the use of high drug concentrations to overcome this challenge may entail side effects. To address these challenges and enhance the precision of delivery into brain regions affected by amyloid aggregation, we proposed a transferrin-conjugated nanoparticle-based drug delivery system. The transferrin-conjugated melittin-loaded L-arginine-coated iron oxide nanoparticles (Tf-MeLioNs) developed in this study successfully mitigated melittin-induced cytotoxicity and hemolysis in the cell culture system. In the 5XFAD mouse brain, Tf-MeLioNs remarkably reduced amyloid plaque accumulation, particularly in the hippocampus. This study suggested Tf-LioNs as a potential drug delivery platform and Tf-MeLioNs as a candidate for therapeutic drug targeting of amyloid plaques in AD. These findings provide a foundation for further exploration and advancement in AD therapeutics.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloidAnimalsBrainDisease Models, AnimalMagnetic Iron Oxide NanoparticlesMelittenMiceMice, TransgenicPlaque, AmyloidTransferrinAmyloidAmyloid beta-PeptidesMelittenTransferrinAlzheimer’s diseaseamyloid plaqueiron oxidemelittinnanoparticletransferrin

Identifiers

PMID37834402
PMCPMC10573775
OpenAlexW4387407972

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.