Evidence map›Paper›PMID 41246879›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Pulmonary-Targeted Nanoparticles Interrupt the Malignant Mechanical and Biochemical Signaling Crosstalk for Idiopathic Pulmonary Fibrosis Therapy.

Xue-Na Li, Ya-Ping Lin, Xi-Xi Ma, Yue-Fei Fang, Hui Wang, Chun-Hui Cui, Chen Zhang, Jin-You Piao, Jee-Heon Jeong, Xian Wu Cheng and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

12 authors.

Xue-Na LiDepartment of Cardiology and Hypertension, Affiliated Hospital of Yanbian University, Yanji, 133000, China.
Ya-Ping LinState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Xi-Xi MaState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Yue-Fei FangState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Hui WangDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.
Chun-Hui CuiState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Chen ZhangState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Jin-You PiaoCollege of Pharmacy, Yanbian University, Yanji, 133000, China.
Jee-Heon JeongDepartment of Precision Medicine, School of Medicine, Sungkyunkwan University, Suwon, 16419, South Korea.
Xian Wu ChengDepartment of Cardiology and Hypertension, Affiliated Hospital of Yanbian University, Yanji, 133000, China.
Lei XingState Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, 210009, China.
Hu-Lin JiangDepartment of Cardiology and Hypertension, Affiliated Hospital of Yanbian University, Yanji, 133000, China.ORCID https://orcid.org/0000-0002-1620-1777

Funding

Jilin Provincial Foundation of Changbai Talent Outstanding Team 202410006Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions BK20232035National Natural Science Foundation of China 82020108029National Natural Science Foundation of China 82073398National Natural Science Foundation of China 82370424Project of State Key Laboratory of Natural Medicines, China Pharmaceutical University SKLNMZZ202021
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) involves transforming growth factor-beta, a key factor that drives biochemical signaling pathways, inducing cellular transdifferentiation and excessive extracellular matrix (ECM) deposition. Increased ECM stiffness alters the mechanical microenvironment of the lung, exacerbating pulmonary dysfunction through mechanical signaling transduction. Here, persistent malignant mechanical and biochemical signaling crosstalk in IPF is demonstrated that drives the relentless progression of the disease. Therefore, inhalable lung-targeted lipid nanoparticles (VB-RT NPs) are developed for co-delivering verteporfin and berbamine to effectively treat IPF by interrupting pulmonary mechanical-biochemical signaling malignant crosstalk. Specifically, VB-RT NPs are modified with tannic acid to scavenge reactive oxygen species and enhance lung targeting, and with L-arginine to penetrate dense ECM and reach deeper lung regions. After being inhaled in a bleomycin model, VB-RT NPs inhibited fibroblast activation and promoted the transition of endothelial cell (EC)-like myofibroblasts to ECs, reducing endothelial-to-mesenchymal transition and fibrotic progression. Additionally, VB-RT NPs blocked the nuclear translocation of the mechanotransducers Yes-associated protein, interrupting fibrosis-related mechanotransduction pathways. The results demonstrate that VB-RT NPs effectively reversed dysregulated mechanical-biochemical signaling crosstalk in fibrotic lungs and halted fibrosis progression, offering a promising therapeutic approach for IPF.

Indexed as

Idiopathic Pulmonary FibrosisLungNanoparticlesSignal TransductionAnimalsDisease Models, AnimalHumansMiceVerteporfinVerteporfinextracellular matrixidiopathic pulmonary fibrosismalignant crosstalkmechanical and biochemical signalsmechanotransductiontransforming growth factor‐beta

Identifiers

PMID41246879
PMCPMC12850245

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.