Evidence map›Paper›PMID 30510678›Full record

ArticleToxicology research2018

A 3D human lung-on-a-chip model for nanotoxicity testing.

Min Zhang, Cong Xu, Lei Jiang, Jianhua Qin

Abstract read
In one paragraph

Article in Toxicology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Review
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  8. Targeting the epithelium in pulmonary fibrosis.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
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  14. Article
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  19. Design strategy primer for organ-on-chips.Biomaterials translational · 2025
    Article
  20. Review

22 more citing papers are in PubMed but not listed here.

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

4 authors.

Min ZhangDivision of Biotechnology , CAS Key Laboratory of Separation Sciences for Analytical Chemistry , Dalian Institute of Chemical Physics , Chinese Academy of Sciences , Dalian , China . Email: jhqin@dicp.ac.cn.
Cong XuDivision of Biotechnology , CAS Key Laboratory of Separation Sciences for Analytical Chemistry , Dalian Institute of Chemical Physics , Chinese Academy of Sciences , Dalian , China . Email: jhqin@dicp.ac.cn.
Lei JiangDivision of Biotechnology , CAS Key Laboratory of Separation Sciences for Analytical Chemistry , Dalian Institute of Chemical Physics , Chinese Academy of Sciences , Dalian , China . Email: jhqin@dicp.ac.cn.
Jianhua QinDivision of Biotechnology , CAS Key Laboratory of Separation Sciences for Analytical Chemistry , Dalian Institute of Chemical Physics , Chinese Academy of Sciences , Dalian , China . Email: jhqin@dicp.ac.cn.ORCID 0000-0001-5735-6436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalent application of nanoparticles (NPs) has drawn intense concerns about their impact on the environment and human health. Inhalation of NPs is the major route of NP exposure and has led to adverse effects on the lung. It is of great concern to evaluate the potential hazards of nanoparticles for human health during pulmonary exposure. Here, we proposed a novel 3D human lung-on-a-chip model to recreate the organ-level structure and functions of the human lung that allow to us evaluate the pulmonary toxicity of nanoparticles. The lung-on-a-chip consists of three parallel channels for the co-culture of human vascular endothelial cells and human alveolar epithelial cells sandwiching a layer of Matrigel membrane, which recapitulate the key features of the alveolar capillary barrier in the human lung. Cell-cell interaction, cell-matrix interaction and vascular mechanical cues work synergistically to promote the barrier function of the lung-on-a-chip model. TiO

Identifiers

PMID30510678
PMCPMC6220735

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.