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Functional microRNAs in Alzheimer’s disease and cancer: differential regulation of common mechanisms and pathways

Overview of attention for article published in Frontiers in Genetics, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Functional microRNAs in Alzheimer’s disease and cancer: differential regulation of common mechanisms and pathways
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2012.00323
Pubmed ID
Authors

Kelly N. Holohan, Debomoy K. Lahiri, Bryan P. Schneider, Tatiana Foroud, Andrew J. Saykin

Abstract

Two of the main research priorities in the United States are cancer and neurodegenerative diseases, which are attributed to abnormal patterns of cellular behavior. MicroRNAs (miRNA) have been implicated as regulators of cellular metabolism, and thus are an active topic of investigation in both disease areas. There is presently a more extensive body of work on the role of miRNAs in cancer compared to neurodegenerative diseases, and therefore it may be useful to examine whether there is any concordance between the functional roles of miRNAs in these diseases. As a case study, the roles of miRNAs in Alzheimer's disease (AD) and their functions in various cancers will be compared. A number of miRNA expression patterns are altered in individuals with AD compared with healthy older adults. Among these, some have also been shown to correlate with neuropathological changes including plaque and tangle accumulation, as well as expression levels of other molecules known to be involved in disease pathology. Importantly, these miRNAs have also been shown to have differential expression and or functional roles in various types of cancer. To examine possible intersections between miRNA functions in cancer and AD, we review the current literature on these miRNAs in cancer and AD, focusing on their roles in known biological pathways. We propose a pathway-driven model in which some molecular processes show an inverse relationship between cancer and neurodegenerative disease (e.g., proliferation and apoptosis) whereas others are more parallel in their activity (e.g., immune activation and inflammation). A critical review of these and other molecular mechanisms in cancer may shed light on the pathophysiology of AD, and highlight key areas for future research. Conclusions from this work may be extended to other neurodegenerative diseases for which some molecular pathways have been identified but which have not yet been extensively researched for miRNA involvement.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Researcher 13 16%
Student > Master 11 13%
Student > Bachelor 11 13%
Other 6 7%
Other 16 20%
Unknown 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 27%
Neuroscience 12 15%
Medicine and Dentistry 10 12%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 4 5%
Other 11 13%
Unknown 17 21%
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 04 February 2013.
All research outputs
#13,028,542
of 22,693,205 outputs
Outputs from Frontiers in Genetics
#2,871
of 11,754 outputs
Outputs of similar age
#154,462
of 280,672 outputs
Outputs of similar age from Frontiers in Genetics
#118
of 319 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,754 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 75% 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 280,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 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 62% of its contemporaries.