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Rapamycin increases mitochondrial efficiency by mtDNA-dependent reprogramming of mitochondrial metabolism in Drosophila

Overview of attention for article published in Journal of Cell Science, January 2014
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Article details
Title
Rapamycin increases mitochondrial efficiency by mtDNA-dependent reprogramming of mitochondrial metabolism in Drosophila
Published in
Journal of Cell Science, January 2014
DOI 10.1242/jcs.142026
Pubmed ID
Authors
Abstract

Downregulation of the mammalian target of rapamycin (mTOR) pathway by its inhibitor rapamycin is emerging as a potential pharmacological intervention that mimics the beneficial effects of dietary restriction. Modulation of mTOR has diverse effects on mitochondrial metabolism and biogenesis, but the role of the mitochondrial genotype in mediating these effects remains unknown. Here, we use novel mitochondrial genome replacement strains in Drosophila to test the hypothesis that genes encoded in mitochondrial DNA (mtDNA) influence the mTOR pathway. We show that rapamycin increases mitochondrial respiration and succinate dehydrogenase activity, decreases H2O2 production and generates distinct shifts in the metabolite profiles of isolated mitochondria versus whole Drosophila. These effects are disabled when divergent mitochondrial genomes from D. simulans are placed into a common nuclear background, demonstrating that the benefits of rapamycin to mitochondrial metabolism depend on genes encoded in the mtDNA. Rapamycin is able to enhance mitochondrial respiration when succinate dehydrogenase activity is blocked, suggesting that the beneficial effects of rapamycin on these two processes are independent. Overall, this study provides the first evidence for a link between mitochondrial genotype and the effects of rapamycin on mitochondrial metabolic pathways.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 3%
Unknown 71 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Researcher 17 23%
Student > Bachelor 8 11%
Student > Master 6 8%
Student > Doctoral Student 4 5%
Other 10 14%
Unknown 11 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 42%
Biochemistry, Genetics and Molecular Biology 21 29%
Medicine and Dentistry 3 4%
Neuroscience 3 4%
Computer Science 1 1%
Other 1 1%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 27 August 2025.
All research outputs
#10,065,328
of 33,982,974 outputs
Outputs from Journal of Cell Science
#3,925
of 10,787 outputs
Outputs of similar age
#99,211
of 373,717 outputs
Outputs of similar age from Journal of Cell Science
#75
of 309 outputs
Altmetric has tracked 33,982,974 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 63% 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 373,717 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 73% of its contemporaries.
We're also able to compare this research output to 309 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 74% of its contemporaries.