Evidence map›Paper›PMID 40491850›Full record

ReviewInternational journal of nanomedicine2025

How Do Organelle-Targeting Nanotherapeutics Treat Inflammatory Diseases? A Comprehensive Review of the Literature.

Si-Hui Wang, Xiao-Ling Xu, Wei Chen

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

3 authors.

Si-Hui WangLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, People's Republic of China.
Xiao-Ling XuShulan International Medical College, Zhejiang Shuren University, Hangzhou, 310015, People's Republic of China.ORCID 0000-0002-7472-0495
Wei ChenLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation is a protective response of the body, but when excessive or prolonged, it can contribute to disease progression and tissue damage. Identifying more effective and less toxic drugs for treating both acute and chronic inflammatory diseases is a major challenge. Organelle-targeting strategies, which deliver drugs directly to specific organelles, offer a promising solution by improving treatment efficiency and minimizing toxic effects on healthy cells. However, despite the potential of organelles as therapeutic targets, precise targeting remains challenging. This review systematically summarizes organelle-targeting nanodelivery strategies for major organelles-mitochondria, the endoplasmic reticulum, lysosomes, and the Golgi apparatus-and the research progress in evaluating the potential of these strategies for treating inflammation-related diseases. This study focuses on the applications of these strategies for the treatment of sepsis, inflammatory bowel disease, atherosclerosis, and osteoarthritis. Additionally, this review outlines future directions and key challenges in this field, aiming to provide a scientific reference for the application of organelle-targeting nanotherapeutics for the treatment of inflammatory diseases.

Indexed as

Drug Delivery SystemsInflammationOrganellesAnimalsAnti-Inflammatory AgentsEndoplasmic ReticulumHumansLysosomesMitochondriaNanomedicineNanoparticlesAnti-Inflammatory Agentsdrug delivery systeminflammatory diseasesnanomedicineorganelle targeting

Identifiers

PMID40491850
PMCPMC12146407

What Socratic holds

Textmetadata
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 Socratic graph.