Evidence map›Paper›PMID 41572762›Full record

ArticleCurrent drug delivery2026

Mesoporous Silica Nanoparticles with Dual Function of Anti-Inflammatory and Lubrication for Rheumatoid Arthritis Treatment.

Hao Zhou, Ying Zeng, Jin-Long Xiao, Xiu Wang

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Article in Current drug delivery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Hao ZhouFaculty of Pharmacy, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Ying ZengFaculty of Pharmacy, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Jin-Long XiaoFaculty of Pharmacy, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Xiu WangFaculty of Pharmacy, Bengbu Medical University, Bengbu, Anhui, 233030, China.

Funding

Key Project of Natural Science Research of the Education Department of Anhui Province, China 2022AH051427
6 · The paper itself

Abstract

introductionRheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease leading to cartilage degeneration and destruction. Friction between articular cartilage surfaces exacerbates these effects. Currently, clinical therapy is dominated by single anti-inflammatory or lubrication treatments. Preparations with both anti-inflammatory and lubrication effects are of great significance for RA treatment. In this study, a mesoporous silica nanosystem (MSN@DCF-HA) with dual functions of anti-inflammation and joint lubrication was developed for RA therapy.

methodsMesoporous silica nanoparticles (MSN) were prepared by the template method. MSN@DCF-HA was synthesized by encapsulating diclofenac (DCF) into MSN and then coating it with hyaluronic acid (HA). Drug loading capacity, encapsulation efficiency, in vitro release, and biosafety of MSN@DCF-HA were evaluated. An RA rat inflammation model was used to assess therapeutic efficacy.

resultsTEM revealed that MSN@DCF-HA was spherical and size-uniform. Experiments demonstrated favorable biocompatibility and stability. The system facilitated sustained DCF release in acidic PBS. In vivo results showed significant reduction in paw swelling, inflammatory factors, and bone damage in the MSN@DCF-HA group. Cell toxicity experiments, hemolysis experiments, and in vivo experiments indicated that it has no significant toxicity. DISCUSSION: MSN@DCF-HA, by loading DCF to exert anti-inflammatory effects and HA to provide external lubrication, joint protection, and synergistic treatment of RA, has demonstrated excellent therapeutic effects, providing a new strategy for RA treatment.

conclusionMSN@DCF-HA was successfully prepared, exhibited slow drug release in acidic environments, and its anti-inflammation and joint lubrication exerted synergistic effects on RA rats without obvious toxicity. This work proposes a novel therapeutic strategy for rheumatoid arthritis.

Indexed as

Anti-Inflammatory AgentsAnti-Inflammatory Agents, Non-SteroidalArthritis, RheumatoidDiclofenacNanoparticlesSilicon DioxideAnimalsDrug CarriersDrug LiberationEdemaHumansHyaluronic AcidMalePorosityRatsRats, Sprague-DawleyAnti-Inflammatory AgentsAnti-Inflammatory Agents, Non-SteroidalDiclofenacDrug CarriersHyaluronic AcidSilicon Dioxideanti-inflammatorydiclofenacdrug delivery systeminflammation modelmesoporous silica nanoparticlesRheumatoid arthritis

Identifiers

PMID41572762

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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.