Evidence map›Paper›PMID 42057101›Full record

ArticleJournal of nanobiotechnology2026

Dual-mechanism inhalable nanocomposite restores the alveolar mucus barrier and enables deep-lesion delivery for synergistic treatment of pulmonary fibrosis.

Zhiliang Guo, Song Chen, Shengting Dong, Kai Lu, Jiaxu Shi, Weicheng Chen, Dachuan Liu, Jianlong Fu, Caihong Zhu, Bin Li and 1 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhiliang Guo *Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Song Chen *Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China. chensong@suda.edu.cn.
Shengting DongDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Kai LuMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Jiaxu ShiMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Weicheng ChenMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Dachuan LiuMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Jianlong FuMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Caihong ZhuMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China.
Bin LiMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China. binli@suda.edu.cn.
Xianming LongMedical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Interdisciplinary Innovation Center for Nanomedicine, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College, Soochow University, Suzhou, 215000, Jiangsu, China. peterh2so4@163.com.

Funding

National Natural Science Foundation of China 82101893Research Project of China Medical Education Association HJ-RD-2024-34Suzhou Municipal Hospital's Special Fund for "Promoting Health through Science and Education" Szslyyrc202502005The First Affiliated Hospital of Soochow University BOXI Clinical Research Project BXLC016The Science and Technology Innovation Project of Applied Basic Research (Medical and Health) of Suzhou SYW2025050
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a lethal interstitial lung disease characterized by excessive extracellular matrix (ECM) deposition, epithelial barrier failure, and pathological remodelling of the alveolar mucus layer, which together limit the effectiveness of inhaled therapeutics. Here, we report a dual-mechanism inhalable system, CL-Shell/PF-µGel, designed to restore the dysfunctional mucus barrier while delivering antifibrotic agents into deep fibrotic lesions. The platform integrates calcium phosphate-shell coated celastrol-loaded liposomes (CL-Shell) with pirfenidone-loaded gelatin microgels (PF-µGel). The calcium phosphate shell is generated through a layer-by-layer mineralization process that produces a stable, uniformly charged coating capable of traversing diseased mucus and protecting the liposomal core from enzymatic degradation, thereby enabling efficient intracellular delivery of celastrol to activated myofibroblasts. Concurrently, microscale PF-µGels (1-5 μm) deposit along airway and alveolar surfaces, regulate local hydration to normalize abnormal mucus rheology, and release pirfenidone in a sustained manner to support epithelial repair and suppress profibrotic signalling. In vitro and in vivo studies revealed that CL-Shell/PF-µGel enhances pulmonary retention and attenuates fibroblast activation. This work establishes a biomimetic inhalation strategy that couples barrier repair with targeted deep-lesion therapy, offering a promising and clinically translatable approach for IPF and other chronic respiratory diseases.

Indexed as

Idiopathic Pulmonary FibrosisMucusNanocompositesPulmonary AlveoliPulmonary FibrosisAdministration, InhalationAnimalsCalcium PhosphatesDrug Delivery SystemsGelatinHumansLiposomesMaleMicePentacyclic TriterpenesPyridonesCalcium PhosphatesGelatinLiposomesPentacyclic TriterpenespirfenidonePyridones

Identifiers

PMID42057101
PMCPMC13274117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.