Evidence map›Paper›PMID 37536598›Full record

ArticleThe Science of the total environment2023

Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed.

David W Bertolatus, Larry B Barber, Christopher J Martyniuk, Huajun Zhen, Timothy W Collette, Drew R Ekman, Aaron Jastrow, Jennifer L Rapp, Alan M Vajda

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2023. 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 54% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 5 institutions in 3 countries.

David W BertolatusAdams State University, School of Science, Technology, Engineering, and Math, 208 Edgemont Blvd, Alamosa, CO 81101, USA. Electronic address: dbertolatus@adams.edu.
Larry B BarberU.S. Geological Survey, 3215 Marine Street, Boulder, CO 80303, USA. Electronic address: lbbarber@usgs.gov.
Christopher J MartyniukCenter for Environmental and Human Toxicology, Department of Physiological Sciences, University of Florida Genetics Institute, College of Veterinary Medicine, Gainesville, FL 32610, USA. Electronic address: cmartyn@ufl.edu.
Huajun ZhenU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, GA 30605, USA.
Timothy W ColletteU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, GA 30605, USA. Electronic address: collette.tim@epa.gov.
Drew R EkmanU.S. Environmental Protection Agency, Center for Environmental Measurement and Modeling, Athens, GA 30605, USA. Electronic address: ekman.drew@epa.gov.
Aaron JastrowU.S. Environmental Protection Agency, Region 5 Laboratory Services and Applied Science Division, Chicago, IL, 60605 USA. Electronic address: jastrow.aaron@epa.gov.
Jennifer L RappU.S. Geological Survey, Integrated Information Dissemination Division, Decision Support Branch, 1730 East Parham Road, Richmond, VA 23228, USA. Electronic address: jrapp@usgs.gov.
Alan M VajdaUniversity of Colorado Denver, Department of Integrative Biology, CB 171, Denver, CO 80217, USA. Electronic address: alan.vajda@ucdenver.edu.
Environmental Protection Agency · USUnited States Geological Survey · USAdams State University · USUniversity of Colorado Denver · USUniversity of Florida · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

To evaluate relationships between different anthropogenic impacts, contaminant occurrence, and fish health, we conducted in situ fish exposures across the Shenandoah River watershed at five sites with different land use. Exposure water was analyzed for over 500 chemical constituents, and organismal, metabolomic, and transcriptomic endpoints were measured in fathead minnows. Adverse reproductive outcomes were observed in fish exposed in the upper watershed at both wastewater treatment plant (WWTP) effluent- and agriculture-impacted sites, including decreased gonadosomatic index and altered secondary sex characteristics. This was accompanied with increased mortality at the site most impacted by agricultural activities. Molecular biomarkers of estrogen exposure were unchanged and consistent with low or non-detectable concentrations of common estrogens, indicating that alternative mechanisms were involved in organismal adverse outcomes. Hepatic metabolomic and transcriptomic profiles were altered in a site-specific manner, consistent with variation in land use and contaminant profiles. Integrated biomarker response data were useful for evaluating mechanistic linkages between contaminants and adverse outcomes, suggesting that reproductive endocrine disruption, altered lipid processes, and immunosuppression may have been involved in these organismal impacts. This study demonstrated linkages between human-impact, contaminant occurrence, and exposure effects in the Shenandoah River watershed and showed increased risk of adverse outcomes in fathead minnows exposed to complex mixtures at sites impacted by municipal wastewater discharges and agricultural practices.

Indexed as

CyprinidaeWater Pollutants, ChemicalAnimalsEstrogensHumansMultiomicsRiversWastewaterEstrogensWastewaterWater Pollutants, ChemicalEcotoxicogenomicsEndocrine disruptionEnvironmental mixturesLandscape ecotoxicologyMetabolomicsTranscriptomics

Identifiers

PMID37536598
PMCPMC10592118
OpenAlexW4385454384

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.