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Genome-wide microRNA expression profiling in placentas from pregnant women exposed to BPA.

Overview of attention for article published in BMC Medical Genomics, January 2015
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
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Mentioned by

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6 tweeters

Citations

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71 Dimensions

Readers on

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75 Mendeley
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Title
Genome-wide microRNA expression profiling in placentas from pregnant women exposed to BPA.
Published in
BMC Medical Genomics, January 2015
DOI 10.1186/s12920-015-0131-z
Pubmed ID
Authors

De Felice, Bruna, Manfellotto, Francesco, Palumbo, Annarita, Troisi, Jacopo, Zullo, Fulvio, Di Carlo, Costantino, Di Spiezio Sardo, Attilio, De Stefano, Noè, Ferbo, Umberto, Guida, Marco, Guida, Maurizio

Abstract

Bisphenol A (BPA) is an environmental compounds is known to possess endocrine disruption potentials. Bisphenol A has epigenetic effects as deregulated expression of microRNAs; such epigenetic marks can induce up/down alterations in gene expression that may persist throughout a lifetime. Bisphenol A (BPA) exposure has been documented in pregnant women, but consequences for development of offspring after BPA exposure during pregnancy are not yet widely studied. Therefore, the aim of this study was to gain a comprehensive understanding of microRNAs changes in the placenta transcriptome from pregnant women subjected to therapeutic abortion for fetal malformation and correlate the impact of gestational exposure to BPA on these developmental changes. We performed a comparative analysis of genome wide miRNA expression in placentas from pregnant women exposed to BPA using microarray technology to identify miRNAs which were aberrantly expressed in placentas from malformed fetuses. The expression changes of differential expressed miRNAs in the samples used for microarray were confirmed by qPCR . Beside, we applied various bioinformatics tools to predict the target genes of the identified miR-146a and explore their biological function and downstream pathways. We found that miR-146a was significant overexpressed and correlated significantly with BPA accumulation in the placenta from pregnant women living in a polluted area and undergoing therapeutic abortion due to fetal malformations. Beside, we applied various bioinformatics tools to predict the target genes of miR-146a and explore their biological function and downstream pathways. For the first time, we found, in humans, that miR-146a was significant over-expressed and correlated significantly with BPA accumulation in the placenta. Our results lead to the suggestion that miRNAs could be potential biomarkers to clarify the mechanisms of environmental diseases.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Student > Bachelor 12 16%
Researcher 10 13%
Student > Master 10 13%
Student > Doctoral Student 6 8%
Other 8 11%
Unknown 16 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 25%
Agricultural and Biological Sciences 10 13%
Nursing and Health Professions 8 11%
Medicine and Dentistry 6 8%
Environmental Science 3 4%
Other 11 15%
Unknown 18 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2015.
All research outputs
#2,155,903
of 6,326,302 outputs
Outputs from BMC Medical Genomics
#143
of 377 outputs
Outputs of similar age
#67,555
of 195,285 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 28 outputs
Altmetric has tracked 6,326,302 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 377 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 195,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.