Targeted Collagen Degradation by an MRI Probe Facilitates siRNA Delivery for Sequential Theranostics in Pulmonary Fibrosis

Pulmonary fibrosis (PF) is characterized by dense collagen and mucus barriers that significantly limit drug delivery to the lungs. Clearing the collagen barrier can enhance drug delivery efficiency. Nevertheless, the heterogeneity of collagen states among patients poses a challenge. Therefore, real-time monitoring of the collagen clearance status is essential for PF personalized therapy. Herein, sequential theranostic platforms are proposed for collagen targeting and magnetic resonance imaging (MRI) monitoring to guide small interfering RNA (siRNA) delivery. First, for collagen barrier targeting-degrading, collagenase is conjugated with a collagen-targeting peptide capable of chelating the MRI contrast agent Gd(III), forming Col I T-D. This allows real-time, noninvasive MRI monitoring of the dynamic collagen clearance process. Second, guided by MRI, the zwitterionic polymer-based siRNA vectors (siTGF-β1@TZ) with mucus-penetrating and fibroblast-targeting capabilities are inhaled under an optimal state of collagen barrier. The sequential application of Col I T-D and siTGF-β1@TZ demonstrates significant lesion enrichment and therapeutic efficacy in PF treatment. Collectively, this study provides a novel perspective on dynamically monitoring collagen clearance status and guiding the sequential delivery of siRNA, offering a promising strategy for personalized PF therapy.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-04-02
DOI
https://doi.org/10.1021/acsnano.4c18383
Citations
1
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
1.52

Funders

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

Targeted Collagen Degradation by an MRI Probe Facilitates siRNA Delivery for Sequential Theranostics in Pulmonary Fibrosis

Bin Wei, Jie Wang, Xiangfeng Duan, Xuanrong Sun et al.
1 citations
ACS Nano
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
article

Targeted Collagen Degradation by an MRI Probe Facilitates siRNA Delivery for Sequential Theranostics in Pulmonary Fibrosis

Bin Wei, Jie Wang, Xiangfeng Duan, Xuanrong Sun, Yue Cai, Junhao Pan, Jie Shen, Xinrui Zhang, Hong Wang
article en
1 citations

Abstract

Pulmonary fibrosis (PF) is characterized by dense collagen and mucus barriers that significantly limit drug delivery to the lungs. Clearing the collagen barrier can enhance drug delivery efficiency. Nevertheless, the heterogeneity of collagen states among patients poses a challenge. Therefore, real-time monitoring of the collagen clearance status is essential for PF personalized therapy. Herein, sequential theranostic platforms are proposed for collagen targeting and magnetic resonance imaging (MRI) monitoring to guide small interfering RNA (siRNA) delivery. First, for collagen barrier targeting-degrading, collagenase is conjugated with a collagen-targeting peptide capable of chelating the MRI contrast agent Gd(III), forming Col I T-D. This allows real-time, noninvasive MRI monitoring of the dynamic collagen clearance process. Second, guided by MRI, the zwitterionic polymer-based siRNA vectors (siTGF-β1@TZ) with mucus-penetrating and fibroblast-targeting capabilities are inhaled under an optimal state of collagen barrier. The sequential application of Col I T-D and siTGF-β1@TZ demonstrates significant lesion enrichment and therapeutic efficacy in PF treatment. Collectively, this study provides a novel perspective on dynamically monitoring collagen clearance status and guiding the sequential delivery of siRNA, offering a promising strategy for personalized PF therapy.

ACS NanoVol. 19(14)
Green Technology (US), Zhejiang University of Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China
Openalex Percentile: Top 20%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
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.