Anti-swelling and self-activating artificial proteoglycan assemblies as cartilaginous implant for post-microfracture healing

The poor structural stability and insufficient endogenous activation of cartilaginous implant might be key factors for cartilage regeneration after microfracture. Herein, inspired by the restrictive effect of collagen fibers on proteoglycans, we develop artificial proteoglycan assemblies (DSPG@Pep) through sequential co-assembly of bioactive polysaccharide, protein and peptides via electrostatic interactions and covalent conjugation. The DSPG@Pep presents anti-swelling, compression and degradation resistance properties, and significantly activates endogenous stem cell recruitment and direct chondrogenic differentiation. Specifically, the DSPG@Pep downregulates the calcium signaling pathway (e.g., CACNA1G, AVPR1A, et al.) and ECM-receptor interaction (IBSP and COL4A2), thus reduces ossification (EFEMP1, SCUBE3, and SPARCL1) tendency as evidenced by decreased cytosolic calcium concentration and integrin β1 clustering. Cartilage defects models in male rabbits and pigs confirm the DSPG@Pep can be stably immobilized in the defect sites and facilitate the structural and functional remodeling of neocartilage. These findings provide a promising biomaterial design strategy for endogenous cartilage regeneration.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-06
DOI
https://doi.org/10.1038/s41467-025-67035-6
Primary Topic
Osteoarthritis Treatment and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anti-swelling and self-activating artificial proteoglycan assemblies as cartilaginous implant for post-microfracture healing

Xiaolin Xiao, Zhulian Li, Yong Sun, Qing Jiang et al.
Nature Communications
Osteoarthritis Treatment and Mechanisms
article

Anti-swelling and self-activating artificial proteoglycan assemblies as cartilaginous implant for post-microfracture healing

Xiaolin Xiao, Zhulian Li, Yong Sun, Qing Jiang, Yujiang Fan, Peng Xu, Jun Liu, Yuxiang Wang, Jiayi Zhu, Jie Liang, Zixin Deng, Mingda Zhao, Xingdong Zhang
article en

Abstract

The poor structural stability and insufficient endogenous activation of cartilaginous implant might be key factors for cartilage regeneration after microfracture. Herein, inspired by the restrictive effect of collagen fibers on proteoglycans, we develop artificial proteoglycan assemblies (DSPG@Pep) through sequential co-assembly of bioactive polysaccharide, protein and peptides via electrostatic interactions and covalent conjugation. The DSPG@Pep presents anti-swelling, compression and degradation resistance properties, and significantly activates endogenous stem cell recruitment and direct chondrogenic differentiation. Specifically, the DSPG@Pep downregulates the calcium signaling pathway (e.g., CACNA1G, AVPR1A, et al.) and ECM-receptor interaction (IBSP and COL4A2), thus reduces ossification (EFEMP1, SCUBE3, and SPARCL1) tendency as evidenced by decreased cytosolic calcium concentration and integrin β1 clustering. Cartilage defects models in male rabbits and pigs confirm the DSPG@Pep can be stably immobilized in the defect sites and facilitate the structural and functional remodeling of neocartilage. These findings provide a promising biomaterial design strategy for endogenous cartilage regeneration.

Nature CommunicationsVol. 17(1)
Sichuan University (CN), West China Medical Center of Sichuan University (CN), First People's Hospital of Chongqing (CN)
Openalex Percentile: Top 45%
Osteoarthritis Treatment and Mechanisms
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.