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Aging

Towards natural mimetics of metformin and rapamycin

Overview of attention for article published in Aging, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
14 news outlets
blogs
2 blogs
twitter
42 tweeters
facebook
4 Facebook pages
video
2 video uploaders

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
131 Mendeley
Title
Towards natural mimetics of metformin and rapamycin
Published in
Aging, November 2017
DOI 10.18632/aging.101319
Pubmed ID
Authors

Alexander Aliper, Leslie Jellen, Franco Cortese, Artem Artemov, Darla Karpinsky-Semper, Alexey Moskalev, Andrew G. Swick, Alex Zhavoronkov

Abstract

Aging is now at the forefront of major challenges faced globally, creating an immediate need for safe, widescale interventions to reduce the burden of chronic disease and extend human healthspan. Metformin and rapamycin are two FDA-approved mTOR inhibitors proposed for this purpose, exhibiting significant anti-cancer and anti-aging properties beyond their current clinical applications. However, each faces issues with approval for off-label, prophylactic use due to adverse effects. Here, we initiate an effort to identify nutraceuticals-safer, naturally-occurring compounds-that mimic the anti-aging effects of metformin and rapamycin without adverse effects. We applied several bioinformatic approaches and deep learning methods to the Library of Integrated Network-based Cellular Signatures (LINCS) dataset to map the gene- and pathway-level signatures of metformin and rapamycin and screen for matches among over 800 natural compounds. We then predicted the safety of each compound with an ensemble of deep neural network classifiers. The analysis revealed many novel candidate metformin and rapamycin mimetics, including allantoin and ginsenoside (metformin), epigallocatechin gallate and isoliquiritigenin (rapamycin), and withaferin A (both). Four relatively unexplored compounds also scored well with rapamycin. This work revealed promising candidates for future experimental validation while demonstrating the applications of powerful screening methods for this and similar endeavors.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 42 tweeters 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 24%
Student > Bachelor 22 17%
Student > Ph. D. Student 17 13%
Student > Master 11 8%
Other 7 5%
Other 17 13%
Unknown 25 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 21%
Medicine and Dentistry 20 15%
Agricultural and Biological Sciences 17 13%
Pharmacology, Toxicology and Pharmaceutical Science 9 7%
Computer Science 6 5%
Other 21 16%
Unknown 31 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 09 September 2023.
All research outputs
#285,290
of 24,406,441 outputs
Outputs from Aging
#55
of 3,873 outputs
Outputs of similar age
#5,999
of 329,733 outputs
Outputs of similar age from Aging
#2
of 36 outputs
Altmetric has tracked 24,406,441 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,873 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done particularly well, scoring higher than 98% 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 329,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.