Evidence map›Paper›PMID 25475078›Full record

ArticleBMC genomics2014

Cross-species toxicogenomic analyses and phenotypic anchoring in response to groundwater low-level pollution.

Immacolata Porreca, Fulvio D'Angelo, Daniela Gentilcore, Emanuele Carchia, Angela Amoresano, Andrea Affuso, Michele Ceccarelli, Pasquale De Luca, Libera Esposito, Francesco M Guadagno and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

18 authors at 4 institutions in 1 country.

Immacolata Porreca
Fulvio D'Angelo
Daniela Gentilcore
Emanuele Carchia
Angela Amoresano
Andrea Affuso
Michele Ceccarelli
Pasquale De Luca
Libera Esposito
Francesco M Guadagno
Massimo Mallardo
Antonio Nardone
Sergio Maccarone
Francesca Pane
Marzia Scarfò
Paolo Sordino
Mario De Felice
Concetta AmbrosinoIRGS, Biogem, Via Camporeale, 83031 Ariano Irpino, Avellino, Italy. coambros@unisannio.it.
Biogem · ITUniversity of Naples Federico II · ITUniversity of Sannio · ITIstituto per il Sistema Produzione Animale in Ambiente Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComparison of toxicogenomic data facilitates the identification of deregulated gene patterns and maximizes health risk prediction in human.

resultsHere, we performed phenotypic anchoring on the effects of acute exposure to low-grade polluted groundwater using mouse and zebrafish. Also, we evaluated two windows of chronic exposure in mouse, starting in utero and at the end of lactation. Bioinformatic analysis of livers microarray data showed that the number of deregulated biofunctions and pathways is higher after acute exposure, compared to the chronic one. It also revealed specific profiles of altered gene expression in all treatments, pointing to stress response/mitochondrial pathways as major players of environmental toxicity. Of note, dysfunction of steroid hormones was also predicted by bioinformatic analysis and verified in both models by traditional approaches, serum estrogens measurement and vitellogenin mRNA determination in mice and zebrafish, respectively.

conclusionsIn our report, phenotypic anchoring in two vertebrate model organisms highlights the toxicity of low-grade pollution, with varying susceptibility based on exposure window. The overlay of zebrafish and mice deregulated pathways, more than single genes, is useful in risk identification from chemicals implicated in the observed effects.

Indexed as

PhenotypeToxicogeneticsAnimalsBiomarkersEnvironmental ExposureFemaleGene ExpressionGene Expression ProfilingGroundwaterLiverLiver Function TestsMaleMiceReproducibility of ResultsSpecies SpecificityTime FactorsBiomarkers

Identifiers

PMID25475078
PMCPMC4301944
OpenAlexW1976190111

What OpenQuestion holds

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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.