Supramolecular Polyzwitterionic Nanoparticles with Engineered pH‐Responsiveness and Cartilage‐Penetration for Osteoarthritis Therapy

Abstract Abnormal friction forces, compact matrix structure, and dynamic acidic microenvironment in osteoarthritis (OA) make it difficult to remodel cartilage regeneration by integrating prominent inflammatory responses and cartilage anabolism. Here, pH‐responsive PSBMA‐ b ‐PColBP@KGN nanoparticles (PSPK NPs) are developed by a simple supramolecular assembly process. PSPK NPs are found to reduce the coefficient of friction (0.028) under high loading pressure (10.41 MPa). The synergistic effect of pH‐responsive KGN release coupling deep penetration promotes cartilage generation in the inflammatory microenvironment. Further, in vivo studies confirm the potential of PSPK NPs in restoring cartilage homeostasis, as evidenced by reduced osteophyte volume, aligned cartilage structures, and abundant cartilage matrix. This study provides novel insights into the synergistic effects of pH‐responsive release, deep penetration, and hydration lubrication on OA treatment, offering a strategy for the design of tissue‐adaptive supramolecular nanoparticles to promote tissue regeneration in inflammation‐related diseases.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-27
DOI
https://doi.org/10.1002/adfm.202505638
Citations
10
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
5.97

Funders

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

Supramolecular Polyzwitterionic Nanoparticles with Engineered pH‐Responsiveness and Cartilage‐Penetration for Osteoarthritis Therapy

Jianshu Li, Peng Yu, Wen Ce Sun, Xinyuan Xu et al.
10 citations
Advanced Functional Materials
Nanoparticle-Based Drug Delivery
5.97
article

Supramolecular Polyzwitterionic Nanoparticles with Engineered pH‐Responsiveness and Cartilage‐Penetration for Osteoarthritis Therapy

Jianshu Li, Peng Yu, Wen Ce Sun, Xinyuan Xu, Jing Xie, Shaopei Ding, Yanpeng Liu, Peng Xu
article en
10 citations

Abstract

Abstract Abnormal friction forces, compact matrix structure, and dynamic acidic microenvironment in osteoarthritis (OA) make it difficult to remodel cartilage regeneration by integrating prominent inflammatory responses and cartilage anabolism. Here, pH‐responsive PSBMA‐ b ‐PColBP@KGN nanoparticles (PSPK NPs) are developed by a simple supramolecular assembly process. PSPK NPs are found to reduce the coefficient of friction (0.028) under high loading pressure (10.41 MPa). The synergistic effect of pH‐responsive KGN release coupling deep penetration promotes cartilage generation in the inflammatory microenvironment. Further, in vivo studies confirm the potential of PSPK NPs in restoring cartilage homeostasis, as evidenced by reduced osteophyte volume, aligned cartilage structures, and abundant cartilage matrix. This study provides novel insights into the synergistic effects of pH‐responsive release, deep penetration, and hydration lubrication on OA treatment, offering a strategy for the design of tissue‐adaptive supramolecular nanoparticles to promote tissue regeneration in inflammation‐related diseases.

Advanced Functional MaterialsVol. 35(41)
University of Electronic Science and Technology of China (CN), Sichuan University (CN), Dalian University of Technology (CN), Dalian University (CN), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN), State Key Laboratory of Oral Diseases
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Nanoparticle-Based Drug Delivery
5.97
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.