Evidence map›Paper›PMID 38794313›Full record

ReviewPharmaceutics2024

Nanodrug Delivery Systems for Myasthenia Gravis: Advances and Perspectives.

Jiayan Huang, Zhao Yan, Yafang Song, Tongkai Chen

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Iron metabolism in rheumatic diseases.Journal of translational autoimmunity · 2025
    Review
  4. Review
  5. Review
  6. 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

4 authors.

Jiayan HuangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Zhao YanScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Yafang SongScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Tongkai ChenScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.

Funding

National Natural Science Foundation of China 82374391Natural Science Foundation of Guangdong Province 2023A1515011127the Key Fields of Biomedicine and Health Foundation of Colleges and Universities in Guangdong Province 2021ZDZX2032
6 · The paper itself

Abstract

Myasthenia gravis (MG) is a rare chronic autoimmune disease caused by the production of autoantibodies against the postsynaptic membrane receptors present at the neuromuscular junction. This condition is characterized by fatigue and muscle weakness, including diplopia, ptosis, and systemic impairment. Emerging evidence suggests that in addition to immune dysregulation, the pathogenesis of MG may involve mitochondrial damage and ferroptosis. Mitochondria are the primary site of energy production, and the reactive oxygen species (ROS) generated due to mitochondrial dysfunction can induce ferroptosis. Nanomedicines have been extensively employed to treat various disorders due to their modifiability and good biocompatibility, but their application in MG management has been rather limited. Nevertheless, nanodrug delivery systems that carry immunomodulatory agents, anti-oxidants, or ferroptosis inhibitors could be effective for the treatment of MG. Therefore, this review focuses on various nanoplatforms aimed at attenuating immune dysregulation, restoring mitochondrial function, and inhibiting ferroptosis that could potentially serve as promising agents for targeted MG therapy.

Indexed as

ferroptosisimmunomodulationmitochondrial dysfunctionmyasthenia gravisnanomedicine

Identifiers

PMID38794313
PMCPMC11125447

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.