Evidence map›Paper›PMID 40688667›Full record

ArticleMaterials today. Bio2025

Hyaluronic acid-anchored nanoparticles co-delivering emodin and siRNA confers protection against rheumatoid arthritis via macrophage polarization.

Muting Qin, Penglu Chen, Huanxue Chen, Feng Liu, Wei He, Enyang Yao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 2025. 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. Article
  2. Review
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  10. Review
  11. Stimuli-Responsive Nanoplatforms for Precision Intervention in Rheumatoid Arthritis.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

6 authors.

Muting QinDepartment of Rheumatology and Immunology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Penglu ChenDepartment of Rheumatology and Immunology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Huanxue ChenDepartment of Rheumatology and Immunology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Feng LiuTransportation Research Institute (IMOB), Hasselt University, Martelare Nlaan, 42-3500, Hasselt, Belgium.
Wei HeDepartment of Thoracic Surgery, The Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Enyang YaoDepartment of Orthopedics, The Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages are key effector cells in the pathogenesis of rheumatoid arthritis (RA), and the pro-inflammatory M1 phenotype accelerates the release of cytokines and exacerbates joint inflammation. In this study, a modified Fe-based metal-organic framework (Fe-MOF) was designed for RA treatment by co-delivering emodin (EM) and small interfering RNA of Kelch-like ECH-associated protein 1 (siKEAP1). To target inflammatory lesions, hyaluronic acid (HA) was encapsulated on the surface of nanoparticles, thereby specifically binding to CD44 receptor overexpressed on M1 macrophage membranes. From the characterization, the synthesized EM/siKEAP1@Fe-MOF@HA exhibited a stable physicochemical profile and pH-responsive property. As expected, EM/siKEAP1@Fe-MOF@HA could effectively target macrophages and promote internalization through clathrin-mediated endocytosis. Both

Indexed as

Co-delivery nanosystemEmodinFe-based metal-organic frameworkKEAP1Macrophage polarizationRheumatoid arthritis

Identifiers

PMID40688667
PMCPMC12274865

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Registered trials

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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.