Inhalable myofibroblast targeting nanoparticles for synergistic treatment of pulmonary fibrosis

Pulmonary fibrosis (PF) is a life-threatening interstitial lung disease, characterized by excessive fibroblast activation and collagen deposition, leading to progressive pulmonary function decline and limited therapeutic efficacy. Here, the inhalable, myofibroblast-targeted, and pH-responsive liposomes (FL-NI) were developed for effective codelivery of nintedanib, a mainstream antifibrotic drug in clinic, and siIL11, a small interfering RNA that silences the key profibrosis cytokine IL-11. Notably, FL-NI achieved a 117.8% increase in pulmonary drug delivery by noninvasive inhalation and a 71.5% increase in delivery specifically to fibroblast activation protein-positive myofibroblasts while reducing nonspecific immune cell and epithelial uptake by 29.8 and 55.8%, respectively. The accurate inhalation codelivery of nintedanib and siIL11 into myofibroblasts achieved synergistic effects, effectively enhanced myofibroblast deactivation, reduced pathological collagen deposition by 50.8%, and promoted epithelial tissue repair. FL-NI remodeled the aberrant immune microenvironment without inducing systemic toxicities. Therefore, this work demonstrated the notable potential for this pluripotent strategy for improving PF outcomes and its promising clinical translation.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-05-01
DOI
https://doi.org/10.1126/sciadv.adv9571
Citations
12
Primary Topic
Inhalation and Respiratory Drug Delivery
Type
article
Field-Weighted Citation Impact
18.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inhalable myofibroblast targeting nanoparticles for synergistic treatment of pulmonary fibrosis

Qiang Zhang, Jun Zhao, Weibiao Zeng, Linfu Chen et al.
12 citations
Science Advances
Inhalation and Respiratory Drug Delivery
18.22
article

Inhalable myofibroblast targeting nanoparticles for synergistic treatment of pulmonary fibrosis

Qiang Zhang, Jun Zhao, Weibiao Zeng, Linfu Chen, Zhisheng Xiao, Zhiqiang Wu, He Wang, Cheng Ding, Zhike Chen, Yang Yang, Qian Chen, Miao Yu, Jingjing Shen, Jian Yang, Yi Liu, Hui Shen, Wenxuan Hu
article en
12 citations

Abstract

Pulmonary fibrosis (PF) is a life-threatening interstitial lung disease, characterized by excessive fibroblast activation and collagen deposition, leading to progressive pulmonary function decline and limited therapeutic efficacy. Here, the inhalable, myofibroblast-targeted, and pH-responsive liposomes (FL-NI) were developed for effective codelivery of nintedanib, a mainstream antifibrotic drug in clinic, and siIL11, a small interfering RNA that silences the key profibrosis cytokine IL-11. Notably, FL-NI achieved a 117.8% increase in pulmonary drug delivery by noninvasive inhalation and a 71.5% increase in delivery specifically to fibroblast activation protein-positive myofibroblasts while reducing nonspecific immune cell and epithelial uptake by 29.8 and 55.8%, respectively. The accurate inhalation codelivery of nintedanib and siIL11 into myofibroblasts achieved synergistic effects, effectively enhanced myofibroblast deactivation, reduced pathological collagen deposition by 50.8%, and promoted epithelial tissue repair. FL-NI remodeled the aberrant immune microenvironment without inducing systemic toxicities. Therefore, this work demonstrated the notable potential for this pluripotent strategy for improving PF outcomes and its promising clinical translation.

Science AdvancesVol. 11(18)
Tongji University (CN), Soochow University (CN), Shanghai Pulmonary Hospital (CN), Shanghai First People's Hospital (CN), First Affiliated Hospital of Soochow University (CN)
Openalex Percentile: Top 1%
Inhalation and Respiratory Drug Delivery
18.22
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.