Evidence map›Paper›PMID 40391301›Full record

ArticleInternational journal of nanomedicine2025

Lung Epithelial Cell Membrane-Camouflaged ROS-Activatable Berberine Nanoparticles for Targeted Treatment in Acute Lung Injury.

Chengkang Jin, Yingjie Zhang, Lin Chen, Bingqing Chen, Changjiang Chen, Hairui Zhang, Junping Guo, Wei Chen, Yi Shi, Chengping Wen

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

10 authors.

Chengkang Jin *College of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Yingjie Zhang *College of Pharmacy, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China.
Lin Chen *School of Life sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Bingqing Chen *Yue Yang Hospital of Traditional Chinese & Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, People's Republic of China.
Changjiang ChenCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Hairui ZhangCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.
Junping Guo *Rainbowfish Rehabilitation and Nursing School, Hangzhou Vocational & Technical College, Hangzhou, 310018, People's Republic of China.
Wei Chen *Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, People's Republic of China.
Yi ShiLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, People's Republic of China.
Chengping WenCollege of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute lung injury (ALI) seriously threatens human health and is induced by multiple factors. When ALI occurs, lung lesions affect gas exchange and may trigger respiratory failure. Current clinical treatments are limited, and traditional drug delivery has drawbacks. Berberine, a natural drug with anti-inflammatory effects, has difficulty in effectively exerting its efficacy. Methods: The study designed a nano-micelle. Hydrophobic berberine was encapsulated with diselenide bonds as the linker. Then, lung epithelial cell membranes were extracted to encapsulate and disguise the nano-micelle. These nanoparticles were injected intravenously. Thanks to the cell membrane's specificity, they could bind to lung tissue, achieving targeted lung delivery. In the inflamed area of acute lung injury, the significantly increased reactive oxygen species level was used to break the diselenide bonds, enabling precise berberine release at the lung injury site. Results: The nano-drug (MM-NPs) was successfully prepared, with the encapsulation efficiency of berberine in the micelles reaching 68.2%. In a ROS environment, the nano-micelles could quickly release over 80% of berberine. In inflammatory MLE-12 cells, MM-NPs responded well to ROS, and cellular inflammatory factor levels were significantly improved after treatment. In a lipopolysaccharide (LPS)-induced pneumonia mouse model, MM-NPs achieved lung targeting. Further studies showed that MM-NPs administration significantly alleviated LPS-induced lung injury in mice. Additionally, evaluation indicated MM-NPs had good in-vivo safety with no obvious adverse reactions. Conclusion: This study successfully developed a novel delivery system, MM-NPs, overcoming berberine's low bioavailability problem in treating acute lung injury. The system has excellent physicochemical properties, biocompatibility, and metabolic safety. In vitro and animal experiments verified it can significantly enhance the therapeutic effect, offering new ideas and hopes for acute lung injury treatment. In the future, clinical trials can be advanced, and new lung targeting strategies explored for more therapeutic breakthroughs.

Indexed as

Acute Lung InjuryBerberineNanoparticlesAnimalsAnti-Inflammatory AgentsCell LineCell MembraneDrug Delivery SystemsDrug LiberationEpithelial CellsHumansLipopolysaccharidesLungMaleMiceMicellesAnti-Inflammatory AgentsBerberineLipopolysaccharidesMicellesReactive Oxygen Speciesacute lung injuryberberinelung-targeted deliverynano-micellesreactive oxygen species

Identifiers

PMID40391301
PMCPMC12087599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.