Evidence map›Paper›PMID 37288388›Full record

ArticleACS ES&T water2022

Untargeted MS

Marina G Evich, Jonathan D Mosley, Ioanna Ntai, Jenna E Cavallin, Daniel L Villeneuve, Gerald T Ankley, Timothy W Collette, Drew R Ekman

Abstract read
In one paragraph

Article in ACS ES&T water, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Marina G Evich1. Center for Environmental Measurement and Modeling, Environmental Protection Agency, Athens, Georgia 30605, United States.
Jonathan D Mosley1. Center for Environmental Measurement and Modeling, Environmental Protection Agency, Athens, Georgia 30605, United States.ORCID 0000-0002-9300-6924
Ioanna Ntai2. Thermo Fisher Scientific, San Jose, California 95134, United States; Present Address: BioMarin Pharmaceutical Inc, San Rafael, CA 94901, USA.
Jenna E Cavallin3. Center for Computational Toxicology and Exposure, Environmental Protection Agency, Duluth, Minnesota 55804, United States.
Daniel L Villeneuve3. Center for Computational Toxicology and Exposure, Environmental Protection Agency, Duluth, Minnesota 55804, United States.
Gerald T Ankley3. Center for Computational Toxicology and Exposure, Environmental Protection Agency, Duluth, Minnesota 55804, United States.
Timothy W Collette1. Center for Environmental Measurement and Modeling, Environmental Protection Agency, Athens, Georgia 30605, United States.
Drew R Ekman1. Center for Environmental Measurement and Modeling, Environmental Protection Agency, Athens, Georgia 30605, United States.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The complexity of contaminant mixtures in surface waters has presented long-standing challenges to the assessment of risks to human health and the environment. As a result, novel strategies for both identifying contaminants that have not been routinely monitored through targeted methods and prioritizing detected compounds with respect to their biological relevance are needed. Tracking biotransformation products in biofluids and tissues in an untargeted fashion facilitates the identification of chemicals taken up by the resident species (e.g., fish), so by default ensuring that detected compounds are biologically relevant in terms of exposure. In this study, we investigated xenobiotic glucuronidation, which is arguably the most important phase II metabolism pathway for many pharmaceuticals, pesticides, and other environmental contaminants. The application of an untargeted high-resolution mass spectrometry-based approach tentatively revealed the presence of over 70 biologically relevant xenobiotics in bile collected from male and female fathead minnows exposed to wastewater treatment plant effluents. The majority of these were not targets of conventional contaminant monitoring. These results highlight the utility of biologically based untargeted screening methods when evaluating chemical contaminants in complex environmental mixtures.

Indexed as

bileenvironmental contaminantsGlucuronideshigh-resolution mass spectrometryLC–MSneutral loss-dependent MS3phase II metabolitesuntargeted metabolomics

Identifiers

PMID37288388
PMCPMC10243500

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.