Evidence map›Paper›PMID 30612256›Full record

ArticleEcotoxicology (London, England)2019

Evaluation of 4-nonylphenol and bisphenol A toxicity using multiple molecular biomarkers in the water flea Daphnia magna.

Ryeo-Ok Kim, Haeyoun Kim, Young-Mi Lee

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2019. 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
1.8field-weighted citation impact, top 18% 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, 23 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Ryeo-Ok KimDepartment of Life Science, College of Natural Sciences, Sangmyung University, Seoul, South Korea.
Haeyoun KimDepartment of Life Science, College of Natural Sciences, Sangmyung University, Seoul, South Korea.
Young-Mi LeeDepartment of Life Science, College of Natural Sciences, Sangmyung University, Seoul, South Korea. ymlee70@smu.ac.kr.
Sangmyung University · KR

Funding

National Research Foundation of Korea NRF-2016R1A2B4009939
6 · The paper itself

Abstract

Alkylphenols are well-known endocrine disruptors and may cause developmental and reproductive disorders in aquatic organisms. Daphnia magna is commonly used in ecotoxicological studies as a promising model species to investigate the effects of endocrine distruptors. In the present study, transcriptional modulation of eleven potential molecular indicators related to detoxification, antioxidant, development, and cellular stress was analyzed in D. magna exposed to different concentrations of bisphenol A (BPA) and 4-nonylphenol (4-NP) for 24 h and 48 h, using real-time qPCR. A hierarchical clustering analysis was applied to investigate relations among molecular markers depending on the compound, exposure duration, and concentration. Our findings suggested that GSH-related systems and stress proteins may be involved in cellular defense against BPA and 4-NP-mediated toxicity with different modes of action. Furthermore, these compounds may interrupt molting and reproduction in daphnids. In particular, D. magna GSH-related genes seem to be strongly affected by 4-NP exposure, indicating their potential as molecular biomarkers.

Indexed as

AnimalsBenzhydryl CompoundsBiomarkersBisphenol A CompoundsDaphniaDose-Response Relationship, DrugPhenolsTime FactorsToxicity TestsWater Pollutants, Chemical4-nonylphenolBenzhydryl CompoundsBiomarkersbisphenol ABisphenol A CompoundsPhenolsWater Pollutants, Chemical4-nonylphenolBiomarkersBisphenol ADaphnia magnaWater flea

Identifiers

PMID30612256
OpenAlexW2907660983

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.