Evidence map›Paper›PMID 39408223›Full record

ArticleNutrients2024

Green Onion-Derived Exosome-like Nanoparticles Prevent Ferroptotic Cell Death Triggered by Glutamate: Implication for GPX4 Expression.

Han Jun Yoon, Jun Pil Won, Hyuk Gyoon Lee, Han Geuk Seo

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  5. Article
  6. Onion (Food science & nutrition · 2026
    Review
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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

4 authors.

Han Jun YoonDepartment of Animal Food Resources, College of Sang-Huh Life Sciences, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
Jun Pil WonDepartment of Animal Food Resources, College of Sang-Huh Life Sciences, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
Hyuk Gyoon LeeDepartment of Animal Food Resources, College of Sang-Huh Life Sciences, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
Han Geuk SeoDepartment of Animal Food Resources, College of Sang-Huh Life Sciences, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.ORCID 0000-0002-9123-3816

Funding

A National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) 2021R1A2C1007526
6 · The paper itself

Abstract

In recent years, alongside research on mammalian-derived exosomes, there has been increasing interest in the physiological activities of plant-derived exosome-like nanoparticles (PDEN). The biocompatibility, minimal side effects, and diverse bioactive ingredients contained in PDEN make them valuable as potential therapeutic agents for an extensive range of diseases. In this study, we cost-effectively isolated exosome-like nanoparticles from green onion (Allium fistulosum) using polyethylene glycol and examined their biological activity in HT-22 cells exposed to glutamate. The isolated green onion-derived exosome-like nanoparticle (GDEN) had an average diameter of 167.4 nm and a zeta potential of -16.06 mV. GDEN effectively inhibited glutamate-induced Ca

Indexed as

ExosomesFerroptosisGlutamic AcidNanoparticlesOnionsPhospholipid Hydroperoxide Glutathione PeroxidaseAnimalsCell DeathCell LineHippocampusIronLipid PeroxidationMiceNeuronsGlutamic Acidglutathione peroxidase 4, mouseIronPhospholipid Hydroperoxide Glutathione Peroxidaseferroptosisglutamateglutathione peroxidase 4green onion-derived exosome-like nanoparticleiron accumulationlipid peroxidation

Identifiers

PMID39408223
PMCPMC11478619

What OpenQuestion holds

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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 OpenQuestion graph.