Evidence map›Paper›PMID 28177603›Full record

ArticleACS nano2017

Pro-Inflammatory and Pro-Fibrogenic Effects of Ionic and Particulate Arsenide and Indium-Containing Semiconductor Materials in the Murine Lung.

Wen Jiang, Xiang Wang, Olivia J Osborne, Yingjie Du, Chong Hyun Chang, Yu-Pei Liao, Bingbing Sun, Jinhong Jiang, Zhaoxia Ji, Ruibin Li and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Current approaches for safer design of engineered nanomaterials.Ecotoxicology and environmental safety · 2018
    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

16 authors at 3 institutions in 2 countries.

Wen JiangCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.ORCID 0000-0003-2083-2069
Xiang WangCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Olivia J OsborneCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Yingjie DuCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Chong Hyun ChangCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Yu-Pei LiaoDivision of NanoMedicine, Department of Medicine, University of California Los Angeles , 10833 Le Conte Ave, Los Angeles, California 90095, United States.
Bingbing SunCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.ORCID 0000-0002-5444-5078
Jinhong JiangCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Zhaoxia JiCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
Ruibin LiCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.ORCID 0000-0001-6471-7658
Xiangsheng LiuDivision of NanoMedicine, Department of Medicine, University of California Los Angeles , 10833 Le Conte Ave, Los Angeles, California 90095, United States.
Jianqin LuDivision of NanoMedicine, Department of Medicine, University of California Los Angeles , 10833 Le Conte Ave, Los Angeles, California 90095, United States.
Sijie LinCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.ORCID 0000-0002-6970-8221
Huan MengDivision of NanoMedicine, Department of Medicine, University of California Los Angeles , 10833 Le Conte Ave, Los Angeles, California 90095, United States.
Tian XiaCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
André E NelCenter for Environmental Implications of Nanotechnology, California NanoSystems Institute, University of California Los Angeles , 570 Westwood Plaza, Los Angeles, California 90095, United States.
California NanoSystems Institute · USUniversity of California, Los Angeles · USTongji University · CN

Funding

Predictive Toxicological Paradigm for Chronic Nanoparticle Injury in the LungR01ES016746 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NEL, ANDRE ELIAS · 2008 to 2017
$3.4M
NIEHS NIH HHS R01 ES016746
6 · The paper itself

Abstract

We have recently shown that the toxicological potential of GaAs and InAs particulates in cells is size- and dissolution-dependent, tending to be more pronounced for nano- vs micron-sized particles. Whether the size-dependent dissolution and shedding of ionic III-V materials also apply to pulmonary exposure is unclear. While it has been demonstrated that micron-sized III-V particles, such as GaAs and InAs, are capable of inducing hazardous pulmonary effects in an occupational setting as well as in animal studies, the effect of submicron particles (e.g., the removal of asperities during processing of semiconductor wafers) is unclear. We used cytokine profiling to compare the pro-inflammatory effects of micron- and nanoscale GaAs and InAs particulates in cells as well as the murine lung 40 h and 21 days after oropharyngeal aspiration. Use of cytokine array technology in macrophage and epithelial cell cultures demonstrated a proportionally higher increase in the levels of matrix metalloproteinase inducer (EMMPRIN), macrophage migration inhibitory factor (MIF), and interleukin 1β (IL-1β) by nanosized (n) GaAs and n-InAs as well as As(III). n-GaAs and n-InAs also triggered higher neutrophil counts in the bronchoalveolar lavage fluid (BALF) of mice than micronscale particles 40 h post-aspiration, along with increased production of EMMPRIN and MIF. In contrast, in animals sacrificed 21 days after exposure, only n-InAs induced fibrotic lung changes as determined by increased lung collagen as well as increased levels of TGF-β1 and PDGF-AA in the BALF. A similar trend was seen for EMMPRIN and matrix metallopeptidase (MMP-9) levels in the BALF. Nano- and micron-GaAs had negligible subacute effects. Importantly, the difference between the 40 h and 21 days data appears to be biopersistence of n-InAs, as demonstrated by ICP-OES analysis of lung tissue. Interestingly, an ionic form of In, InCl

Indexed as

AnimalsArsenicalsCell LineFibrinogenHumansIndiumInflammationIonsLungMaleMiceMice, Inbred C57BLParticle SizeSemiconductorsSurface PropertiesTHP-1 CellsArsenicalsFibrinogenIndiumIonsIII−V materialslung fibrosislung inflammationoccupational diseasepro-inflammatory cytokinesize

Identifiers

PMID28177603
PMCPMC5543990
OpenAlexW2586939041

What OpenQuestion holds

Textmetadata
LicenceTDM
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.