Evidence map›Paper›PMID 21656159›Full record

ArticleEcotoxicology (London, England)2011

Determination of mRNA expression of DMRT93B, vitellogenin, and cuticle 12 in Daphnia magna and their biomarker potential for endocrine disruption.

Jungkon Kim, Younghee Kim, Sangwoo Lee, Kyunghee Kwak, Wook-Jin Chung, Kyungho Choi

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Epigenetic and Gene Expression Responses ofMolecules (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Detoxification and reproductive system-related gene expression following exposure to Cu(OH)Environmental science and pollution research international · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Jungkon KimSchool of Public Health, Seoul National University, Seoul, Korea.
Younghee Kim
Sangwoo Lee
Kyunghee Kwak
Wook-Jin Chung
Kyungho Choi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explored the use of molecular genetic biomarkers for endocrine disruption in Daphnia magna after the exposure to fenoxycarb (FOC), a model juvenile hormone analog. For this purpose, the mRNA expression patterns of DMRT93B (DMRT, sex determination), cuticle 12 (CUT, molting), and vitellogenin (VTG, embryo development) were determined in D. magna. Furthermore, these results were compared with developmental abnormality and reproduction performance. The fold changes of CUT and VTG mRNA expression showed significant dose-response relationship with FOC exposure. Relative mRNA expressions of DMRT and CUT showed notable changes at as low as 1 ng/l FOC. After chronic exposure FOC significantly delayed the first day of reproduction and decreased the number of young and growth rate even at 10 ng/l FOC. A concentration-dependant trend in reproduction effect was also observed. Developmental abnormality such as poorly developed second antennae and curved or unextended shell spines were observed. These results suggest that the three mRNAs, i.e., DMRT, CUT, and VTG can be used as biomarkers of endocrine disrupting effects in D. magna.

Indexed as

AnimalsAquatic OrganismsBiomarkersClutch SizeDaphniaDose-Response Relationship, DrugEndocrine DisruptorsFemaleGene Expression RegulationJuvenile HormonesPhenylcarbamatesProteinsReproductionRNA, MessengerToxicity Tests, ChronicVitellogeninsBiomarkersEndocrine DisruptorsfenoxycarbJuvenile HormonesPhenylcarbamatesProteinsRNA, MessengerVitellogeninsWater Pollutants, Chemical

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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.