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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, September 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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

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

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.

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

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Bachelor 12 14%
Researcher 11 13%
Student > Master 9 11%
Student > Doctoral Student 6 7%
Other 10 12%
Unknown 22 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 27%
Agricultural and Biological Sciences 9 11%
Nursing and Health Professions 8 9%
Medicine and Dentistry 6 7%
Environmental Science 4 5%
Other 10 12%
Unknown 25 29%
Attention Score in Context

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
#14,599,900
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#894
of 2,444 outputs
Outputs of similar age
#128,425
of 278,999 outputs
Outputs of similar age from BMC Medical Genomics
#22
of 67 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 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 62% 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 278,999 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 53% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.