Targeted Ruthenium‐Based Anti‐Inflammatory Nanoagent for Enhanced Rheumatoid Arthritis Treatment

The inhibition of joint synovial inflammation, caused by poor oxygen (O<sub>2</sub>) supply and excessive reactive oxygen species (ROS) generation, is an important treatment strategy for rheumatoid arthritis (RA). Herein, we formulated a targeted ruthenium-based anti-inflammatory nanosystem consisting of ruthenium clusters-loaded F127-organosilica micelles with folic acid (FA) modification (RuFOMs-FA) for RA treatment through a two-stage macrophage regulatory mechanism. At the first stage, RuFOMs-FA exhibited excellent photothermal capability with a high photothermal conversion efficiency of 55.3% upon external-field 808 nm NIR irradiation, which further induced the death of M1 macrophages through the folic acid-mediated active targeting pathway. Further, the resultant nanoagent mimicked enzymes displayed catalase-like and superoxide dismutase-like activities for endogenously scavenging ROS and producing O<sub>2</sub> to induce the polarization of pro-inflammatory M1 to anti-inflammatory M2 macrophages in the RA physiological environment. More importantly, RuFOMs-FA effectively alleviated hypoxia, inflammation, and cartilage destruction in the synovial joints in a rat RA model by the two-stage macrophage regulatory mechanism. Consequently, it is highly expected that the developed RuFOMs-FA could be applied as a new noble metal-based anti-inflammatory candidate nanosystem for efficient and safe RA treatment.

Authors

Institutions

Publication Details

Journal
Exploration
Published
2025-08-16
DOI
https://doi.org/10.1002/exp.20240043
Citations
9
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
7.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeted Ruthenium‐Based Anti‐Inflammatory Nanoagent for Enhanced Rheumatoid Arthritis Treatment

Cunyi Fan, Jinyong Wu, Shuai Chen, Hao Xiong et al.
9 citations
Exploration
Extracellular vesicles in disease
7.25
article

Targeted Ruthenium‐Based Anti‐Inflammatory Nanoagent for Enhanced Rheumatoid Arthritis Treatment

Cunyi Fan, Jinyong Wu, Shuai Chen, Hao Xiong, Shiyu Xu, Dechao Niu, Y.C. Wang, Lihua Zhao, Ziwei Zhao
article en
9 citations

Abstract

The inhibition of joint synovial inflammation, caused by poor oxygen (O<sub>2</sub>) supply and excessive reactive oxygen species (ROS) generation, is an important treatment strategy for rheumatoid arthritis (RA). Herein, we formulated a targeted ruthenium-based anti-inflammatory nanosystem consisting of ruthenium clusters-loaded F127-organosilica micelles with folic acid (FA) modification (RuFOMs-FA) for RA treatment through a two-stage macrophage regulatory mechanism. At the first stage, RuFOMs-FA exhibited excellent photothermal capability with a high photothermal conversion efficiency of 55.3% upon external-field 808 nm NIR irradiation, which further induced the death of M1 macrophages through the folic acid-mediated active targeting pathway. Further, the resultant nanoagent mimicked enzymes displayed catalase-like and superoxide dismutase-like activities for endogenously scavenging ROS and producing O<sub>2</sub> to induce the polarization of pro-inflammatory M1 to anti-inflammatory M2 macrophages in the RA physiological environment. More importantly, RuFOMs-FA effectively alleviated hypoxia, inflammation, and cartilage destruction in the synovial joints in a rat RA model by the two-stage macrophage regulatory mechanism. Consequently, it is highly expected that the developed RuFOMs-FA could be applied as a new noble metal-based anti-inflammatory candidate nanosystem for efficient and safe RA treatment.

ExplorationVol. 5(5)
East China University of Science and Technology (CN), Shanghai Jiao Tong University (CN), Shanghai Sixth People's Hospital (CN)
National Natural Science Foundation of China, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 2%
Extracellular vesicles in disease
7.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.