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Mice Fed Rapamycin Have an Increase in Lifespan Associated with Major Changes in the Liver Transcriptome

Overview of attention for article published in PLOS ONE, January 2014
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Title
Mice Fed Rapamycin Have an Increase in Lifespan Associated with Major Changes in the Liver Transcriptome
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0083988
Pubmed ID
Authors

Wilson C. Fok, Yidong Chen, Alex Bokov, Yiqiang Zhang, Adam B. Salmon, Vivian Diaz, Martin Javors, William H. Wood, Yongqing Zhang, Kevin G. Becker, Viviana I. Pérez, Arlan Richardson

Abstract

Rapamycin was found to increase (11% to 16%) the lifespan of male and female C57BL/6J mice most likely by reducing the increase in the hazard for mortality (i.e., the rate of aging) term in the Gompertz mortality analysis. To identify the pathways that could be responsible for rapamycin's longevity effect, we analyzed the transcriptome of liver from 25-month-old male and female mice fed rapamycin starting at 4 months of age. Few changes (<300 transcripts) were observed in transcriptome of rapamycin-fed males; however, a large number of transcripts (>4,500) changed significantly in females. Using multidimensional scaling and heatmap analyses, the male mice fed rapamycin were found to segregate into two groups: one group that is almost identical to control males (Rapa-1) and a second group (Rapa-2) that shows a change in gene expression (>4,000 transcripts) with more than 60% of the genes shared with female mice fed Rapa. Using ingenuity pathway analysis, 13 pathways were significantly altered in both Rapa-2 males and rapamycin-fed females with mitochondrial function as the most significantly changed pathway. Our findings show that rapamycin has a major effect on the transcriptome and point to several pathways that would likely impact the longevity.

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Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Unknown 106 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 23 21%
Other 11 10%
Student > Master 10 9%
Student > Bachelor 9 8%
Other 14 13%
Unknown 17 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 28%
Biochemistry, Genetics and Molecular Biology 29 27%
Medicine and Dentistry 11 10%
Neuroscience 4 4%
Immunology and Microbiology 2 2%
Other 13 12%
Unknown 19 17%