Evidence map›Paper›PMID 34096267›Full record

ArticleEnvironmental science & technology2021

Untargeted Lipidomics for Determining Cellular and Subcellular Responses in Zebrafish (

Huajun Zhen, Quincy Teng, Jonathan D Mosley, Timothy W Collette, Yang Yue, Paul M Bradley, Drew R Ekman

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Huajun ZhenU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.
Quincy TengU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.
Jonathan D MosleyU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.
Timothy W ColletteU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.ORCID 0000-0003-1946-0878
Yang YueU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.
Paul M BradleyU.S. Geological Survey, South Atlantic Water Science Center, Columbia, South Carolina 29210, United States.ORCID 0000-0001-7522-8606
Drew R EkmanU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, Georgia 30605, United States.ORCID 0000-0002-1649-379X
Environmental Protection Agency · USUnited States Geological Survey · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Surface waters often contain a variety of chemical contaminants potentially capable of producing adverse outcomes in both humans and wildlife due to impacts from industrial, urban, and agricultural activity. Here, we report the results of a zebrafish liver (ZFL) cell-based lipidomics approach to assess the potential ecotoxicological effects of complex contaminant mixtures using water collected from eight impacted streams across the United States mainland and Puerto Rico. We initially characterized the ZFL lipidome using high resolution mass spectrometry, resulting in the annotation of 508 lipid species covering 27 classes. We then identified lipid changes induced by all streamwater samples (nonspecific stress indicators) as well as those unique to water samples taken from specific streams. Subcellular impacts were classified based on organelle-specific lipid changes, including increased lipid saturation (endoplasmic reticulum stress), elevated bis(monoacylglycero)phosphate (lysosomal overload), decreased ubiquinone (mitochondrial dysfunction), and elevated ether lipids (peroxisomal stress). Finally, we demonstrate how these results can uniquely inform environmental monitoring and risk assessments of surface waters.

Indexed as

RiversWater Pollutants, ChemicalAnimalsComplex MixturesHumansLipidomicsLiverPuerto RicoUnited StatesZebrafishComplex MixturesWater Pollutants, Chemicalcell cultureenvironmental monitoringlipidomicsorganelleswater quality

Identifiers

PMID34096267
PMCPMC8453666
OpenAlexW3172124469

What OpenQuestion holds

Textmetadata
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.