Evidence map›Paper›PMID 34941758›Full record

ArticleToxics2021

Cytotoxic and Transcriptomic Effects in Avian Hepatocytes Exposed to a Complex Mixture from Air Samples, and Their Relation to the Organic Flame Retardant Signature.

Kelsey Ha, Pu Xia, Doug Crump, Amandeep Saini, Tom Harner, Jason O'Brien

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2021. 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
0.3field-weighted citation impact, top 42% 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, 3 citations in OpenAlex.

  1. Review
  2. Article
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

6 authors at 1 institution in 1 country.

Kelsey HaDepartment of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Pu XiaNational Wildlife Research Centre, Environment and Climate Change Canada, Ottawa, ON K1A 0H3, Canada.
Doug CrumpNational Wildlife Research Centre, Environment and Climate Change Canada, Ottawa, ON K1A 0H3, Canada.
Amandeep SainiAir Quality Processes Research Section, Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada.ORCID 0000-0003-0880-1147
Tom HarnerAir Quality Processes Research Section, Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada.
Jason O'BrienNational Wildlife Research Centre, Environment and Climate Change Canada, Ottawa, ON K1A 0H3, Canada.
Environment and Climate Change Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing complex environmental mixtures and their effects is challenging. In this study, we evaluate the utility of an avian in vitro screening approach to determine the effects of passive air sampler extracts collected from different global megacities on cytotoxicity and gene expression. Concentrations of a suite of organic flame retardants (OFRs) were quantified in extracts from a total of 19 megacities/major cities in an earlier study, and levels were highly variable across sites. Chicken embryonic hepatocytes were exposed to serial dilutions of extracts from the 19 cities for 24 h. Cell viability results indicate a high level of variability in cytotoxicity, with extracts from Toronto, Canada, having the lowest LC50 value. Partial least squares (PLS) regression analysis was used to estimate LC50 values from OFR concentrations. PLS modeling of OFRs was moderately predictive of LC50 (

Indexed as

chicken embryonic hepatocytes (CEH)complex mixturesin vitro screeningorganic flame retardants (OFRs)passive air samplingPCR array

Identifiers

PMID34941758
PMCPMC8704741
OpenAlexW3215611204

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.