Evidence map›Paper›PMID 28748123›Full record

ArticleScience China materials2015

Shape affects the interactions of nanoparticles with pulmonary surfactant.

Xubo Lin, Yi Y Zuo, Ning Gu

Abstract read
In one paragraph

Article in Science China materials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Interactions of Amphiphilic Janus Nanoparticles with Lipid Monolayers.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. The emergence of nanoporous materials in lung cancer therapy.Science and technology of advanced materials · 2022
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

3 authors.

Xubo LinState Key Laboratory of Bioelectronics and Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China.
Yi Y ZuoDepartment of Mechanical Engineering, University of Hawaii at Manoa, Hawaii 96822, USA.
Ning GuState Key Laboratory of Bioelectronics and Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China.

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

The interactions with the pulmonary surfactant, the initial biological barrier of respiratory pathway, determine the potential therapeutic applications and toxicological effects of inhaled nanoparticles (NPs). Although much attention has been paid to optimize the physicochemical properties of NPs for improved delivery and targeting, shape effects of the inhaled NPs on their interactions with the pulmonary surfactant are still far from clear. Here, we studied the shape effects of NPs on their penetration abilities and structural disruptions to the dipalmitoyl-phosphatidylcholine (DPPC) monolayer (being model pulmonary surfactant film) using coarse-grained molecular dynamics simulations. It is found that during the inspiration process (i.e., surfactant film expansion), shape effects are negligible. However, during the expiration process (i.e., surfactant film compression), NPs of different shapes show various penetration abilities and degrees of structural disruptions to the DPPC monolayer. We found that rod-like NPs showed the highest degree of penetration and the smallest side-effects to the DPPC monolayer. Our results may provide a useful insight into the design of NPs for respiratory therapeutics.

Identifiers

PMID28748123
PMCPMC5523932

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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.