Evidence map›Paper›PMID 36828454›Full record

ArticleToxins2023

Comparative Analysis of Transcriptomic Changes including mRNA and microRNA Expression Induced by the Xenoestrogens Zearalenone and Bisphenol A in Human Ovarian Cells.

Éva Márton, Alexandra Varga, András Penyige, Zsuzsanna Birkó, István Balogh, Bálint Nagy, Melinda Szilágyi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Éva MártonDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0003-2733-8899
Alexandra VargaDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
András PenyigeDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0002-1993-2014
Zsuzsanna BirkóDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0003-2214-6185
István BaloghDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0003-3397-2829
Bálint NagyDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0002-0295-185X
Melinda SzilágyiDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.ORCID 0000-0002-0316-2553
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xenoestrogens are natural or synthetic compounds that mimic the effect of endogenous estrogens and might cause cancer. We aimed to compare the global transcriptomic response to zearalenone (ZEA; mycotoxin) and bisphenol A (BPA; plastic additive) with the effect of physiological estradiol (E2) in the PEO1 human ovarian cell line by mRNA and microRNA sequencing. Estrogen exposure induced remarkable transcriptomic changes: 308, 288 and 63 genes were upregulated (log

Indexed as

MicroRNAsZearalenoneBisphenol A CompoundsEstrogensFemaleHumansRNA, MessengerTranscriptomebisphenol ABisphenol A CompoundsEstrogensMicroRNAsMIRN582 microRNA, humanRNA, MessengerZearalenonebisphenol AmicroRNAmycotoxinovarian cancerRNA sequencingtranscriptomicsxenoestrogenzearalenone

Identifiers

PMID36828454
PMCPMC9967916
OpenAlexW4319923104

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.