ArticleFunctional & integrative genomics2020
A transcriptomic study of selenium against liver injury induced by beta-cypermethrin in mice by RNA-seq.
Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease.Lipids in health and disease · 2025Article
- Comparative toxicotranscriptomics of longterm cypermethrin exposure to aquacultured fish Labeo catla (Catla).Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Evidence from biochemical liver function index and histopathology analysis suggested that selenium could effectively repair the liver injury caused by beta-cypermethrin (β-CYP). However, the molecular mechanism of selenium against liver injury induced by β-CYP remains unclear. In the present study, dynamic changes in gene expression profiles before and after the treatment of Na
Indexed as
Identifiers
31659573What OpenQuestion holds
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.