Evidence map›Paper›PMID 23845593›Full record

ArticleToxicology and applied pharmacology2013

System-based identification of toxicity pathways associated with multi-walled carbon nanotube-induced pathological responses.

Brandi N Snyder-Talkington, Julian Dymacek, Dale W Porter, Michael G Wolfarth, Robert R Mercer, Maricica Pacurari, James Denvir, Vincent Castranova, Yong Qian, Nancy L Guo

Open access · hybridAbstract read
In one paragraph

Article in Toxicology and applied pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells.Materials express : an international journal on multidisciplinary materials research · 2024
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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 at 3 institutions in 1 country.

Brandi N Snyder-TalkingtonPathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA.
Julian Dymacek
Dale W Porter
Michael G Wolfarth
Robert R Mercer
Maricica Pacurari
James Denvir
Vincent Castranova
Yong Qian
Nancy L Guo
National Institute for Occupational Safety and Health · USWest Virginia University · USMarshall University · US

Funding

WV INBRE: The Inhibitor of Growth Family Member 4 (ING4) inhibits L-Type Amino Acid Transporter 1 (LAT1) expression to suppress Breast CancerP20GM103434 · NIGMS · MARSHALL UNIVERSITY · PI Travis Salisbury · 2012 to 2026
$61.1M
WVU &MU NEW FACULTY GRANTSP20RR016477 · NCRR · MARSHALL UNIVERSITY · PI RANKIN, GARY O · 2001 to 2011
$35.5M
Systematic assessment of multi-walled carbon nanotubes in pulmonary diseaseR01ES021764 · NIEHS · WEST VIRGINIA UNIVERSITY · PI GUO, NANCY LAN · 2012 to 2016
$1.7M
A Novel Computational Framework for Individualized Clinical Decision-MakingR01LM009500 · NLM · WEST VIRGINIA UNIVERSITY · PI GUO, NANCY LAN · 2008 to 2010
$987k
A Novel Computational Framework for individualized clinical decision-makingR56LM009500 · NLM · WEST VIRGINIA UNIVERSITY · PI GUO, NANCY LAN · 2012 to 2013
$499k
NCRR NIH HHS 2P20RR016477NCRR NIH HHS P20 RR016477NIEHS NIH HHS R01 ES021764NIEHS NIH HHS R01ES021764NIGMS NIH HHS 8P20GM103434NIGMS NIH HHS P20 GM103434NLM NIH HHS R01/R56LM009500NLM NIH HHS R56 LM009500
6 · The paper itself

Abstract

The fibrous shape and biopersistence of multi-walled carbon nanotubes (MWCNT) have raised concern over their potential toxicity after pulmonary exposure. As in vivo exposure to MWCNT produced a transient inflammatory and progressive fibrotic response, this study sought to identify significant biological processes associated with lung inflammation and fibrosis pathology data, based upon whole genome mRNA expression, bronchoaveolar lavage scores, and morphometric analysis from C57BL/6J mice exposed by pharyngeal aspiration to 0, 10, 20, 40, or 80 μg MWCNT at 1, 7, 28, or 56 days post-exposure. Using a novel computational model employing non-negative matrix factorization and Monte Carlo Markov Chain simulation, significant biological processes with expression similar to MWCNT-induced lung inflammation and fibrosis pathology data in mice were identified. A subset of genes in these processes was determined to be functionally related to either fibrosis or inflammation by Ingenuity Pathway Analysis and was used to determine potential significant signaling cascades. Two genes determined to be functionally related to inflammation and fibrosis, vascular endothelial growth factor A (vegfa) and C-C motif chemokine 2 (ccl2), were confirmed by in vitro studies of mRNA and protein expression in small airway epithelial cells exposed to MWCNT as concordant with in vivo expression. This study identified that the novel computational model was sufficient to determine biological processes strongly associated with the pathology of lung inflammation and fibrosis and could identify potential toxicity signaling pathways and mechanisms of MWCNT exposure which could be used for future animal studies to support human risk assessment and intervention efforts.

Indexed as

TranscriptomeAnimalsBronchoalveolar Lavage FluidCells, CulturedComputational BiologyEnvironmental PollutantsEpithelial CellsGene Expression ProfilingInhalation ExposureMaleMarkov ChainsMiceMice, Inbred C57BLMonte Carlo MethodNanotubes, CarbonPneumoniaEnvironmental PollutantsNanotubes, CarbonComputational toxicologyIn vitro studiesIn vivo studiesMulti-walled carbon nanotubesSignaling pathways

Identifiers

PMID23845593
PMCPMC4017347
OpenAlexW2027103457

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.