ArticleEnvironmental science and pollution research international2018
(Anti-)estrogenic and (anti-)androgenic effects in wastewater during advanced treatment: comparison of three in vitro bioassays.
Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 47 citations in OpenAlex.
- Chemical and toxicological assessment of leachates from UV-degraded plastic materials usingPeerJ · 2023Article
- Evaluation of Three ISO Estrogen Receptor Transactivation Assays Applied to 52 Domestic Effluent Samples.Environmental toxicology and chemistry · 2022Article
- Using Estrogenic Activity and Nontargeted Chemical Analysis to Identify Contaminants in Sewage Sludge.Environmental science & technology · 2021Article
- In vitro effects-based method and water quality screening model for use in pre- and post-distribution treated waters.The Science of the total environment · 2021Article
- High-performance thin-layer chromatography in combination with a yeast-based multi-effect bioassay to determine endocrine effects in environmental samples.Analytical and bioanalytical chemistry · 2021Article
- Editorial: Special Issue "Effect-related evaluation of anthropogenic trace substances-concepts for genotoxicity, neurotoxicity and endocrine effects".Environmental science and pollution research international · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 6 institutions in 1 country.
Funding
Abstract
Endocrine-disrupting chemicals are mainly discharged into the environment by wastewater treatment plants (WWTPs) and are known to induce adverse effects in aquatic life. Advanced treatment with ozone successfully removes such organic micropollutants, but an increase of estrogenic effects after the ozonation of hospital wastewater was observed in previous studies. In order to investigate this effect, estrogenic and androgenic as well as anti-estrogenic and anti-androgenic activities were observed during treatment of hospital wastewater using three different effect-based reporter gene bioassays. Despite different matrix influences, sensitivities, and test-specific properties, all assays used obtained comparable results. Estrogenic and androgenic activities were mainly reduced during the biological treatment and further removed during ozonation and sand filtration, resulting in non-detectable agonistic activities in the final effluent. An increased estrogenic activity after ozonation could not be observed in this study. Antagonistic effects were removed in the biological treatment by up to 50 % without further reduction in the advanced treatment. Due to the presence of antagonistic substances within the wastewater, masking effects were probable. Therefore, this study showed the relevance of antagonistic activities at hospital WWTPs and illustrates the need for a better understanding about antagonistic effects.
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Identifiers
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Registered trials
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.