Evidence map›Paper›PMID 36343551›Full record

ArticleEnvironment international2022

Endocrine disrupting chemicals entering European rivers: Occurrence and adverse mixture effects in treated wastewater.

Saskia Finckh, Sebastian Buchinger, Beate I Escher, Henner Hollert, Maria König, Martin Krauss, Warich Leekitratanapisan, Sabrina Schiwy, Rita Schlichting, Aliaksandra Shuliakevich and 1 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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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

11 authors at 5 institutions in 2 countries.

Saskia FinckhDepartment of Effect-Directed Analysis, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany; Department of Evolutionary Ecology and Environmental Toxicology, Goethe University, Frankfurt am Main, Germany. Electronic address: saskia.finckh@ufz.de.
Sebastian BuchingerDepartment of Biochemistry and Ecotoxicology, Federal Institute for Hydrology - BfG, Koblenz, Germany.
Beate I EscherDepartment of Cell Toxicology, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany; Environmental Toxicology, Department of Geosciences, Eberhard Karls University, Tübingen, Germany.
Henner HollertDepartment of Evolutionary Ecology and Environmental Toxicology, Goethe University, Frankfurt am Main, Germany.
Maria KönigDepartment of Cell Toxicology, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Martin KraussDepartment of Effect-Directed Analysis, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Warich LeekitratanapisanEnvironmental Toxicology Unit - GhEnToxLab, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Sabrina SchiwyDepartment of Evolutionary Ecology and Environmental Toxicology, Goethe University, Frankfurt am Main, Germany.
Rita SchlichtingDepartment of Cell Toxicology, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Aliaksandra ShuliakevichDepartment of Evolutionary Ecology and Environmental Toxicology, Goethe University, Frankfurt am Main, Germany.
Werner BrackDepartment of Effect-Directed Analysis, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany; Department of Evolutionary Ecology and Environmental Toxicology, Goethe University, Frankfurt am Main, Germany.
Goethe University Frankfurt · DEHelmholtz Centre for Environmental Research · DEFederal Institute of Hydrology · DEGhent University · BEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study on endocrine disrupting chemicals (EDCs) in treated wastewater, we used chemical and effect-based tools to analyse 56 wastewater treatment plant (WWTP) effluents from 15 European countries. The main objectives were (i) to compare three different receptor-based estrogenicity assays (ERα-GeneBLAzer, p-YES, ERα-CALUX®), and (ii) to investigate a combined approach of chemical target analysis and receptor-based testing for estrogenicity, glucocorticogenic activity, androgenicity and progestagenic activity (ERα-, GR-, AR- and PR-GeneBLAzer assays, respectively) in treated wastewater. A total of 56 steroids and phenols were detected at concentrations ranging from 25 pg/L (estriol, E3) up to 2.4 μg/L (cortisone). WWTP effluents, which passed an advanced treatment via ozonation or via activated carbon, were found to be less contaminated, in terms of lower or no detection of steroids and phenols, as well as hormone receptor-mediated effects. This result was confirmed by the effect screening, including the three ERα-bioassays. In the GeneBLAzer assays, ERα-activity was detected in 82 %, and GR-activity in 73 % of the samples, while AR- and PR-activity were only measured in 14 % and 21 % of the samples, respectively. 17β-estradiol was confirmed as the estrogen dominating the observed estrogenic mixture effect and triamcinolone acetonide was the dominant driver of glucocorticogenic activity. The comparison of bioanalytical equivalent concentrations (BEQ) predicted from the detected concentrations and the relative effect potency (BEQ

Indexed as

Endocrine DisruptorsEuropeWastewaterEndocrine DisruptorsWastewaterChemical target analysisEffect-based analysisEffect based trigger values (EBTs)Endocrine disrupting chemicals (EDCs)Wastewater treatment plant (WWTP) effluentsWater quality assessment

Identifiers

PMID36343551
PMCPMC9720157
OpenAlexW4308037769

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.