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Does Reduced IGF-1R Signaling in Igf1r+/− Mice Alter Aging?

Overview of attention for article published in PLOS ONE, November 2011
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Title
Does Reduced IGF-1R Signaling in Igf1r+/− Mice Alter Aging?
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0026891
Pubmed ID
Authors

Alex F. Bokov, Neha Garg, Yuji Ikeno, Sachin Thakur, Nicolas Musi, Ralph A. DeFronzo, Ning Zhang, Rebecca C. Erickson, Jon Gelfond, Gene B. Hubbard, Martin L. Adamo, Arlan Richardson

Abstract

Mutations in insulin/IGF-1 signaling pathway have been shown to lead to increased longevity in various invertebrate models. Therefore, the effect of the haplo-insufficiency of the IGF-1 receptor (Igf1r(+/-)) on longevity/aging was evaluated in C57Bl/6 mice using rigorous criteria where lifespan and end-of-life pathology were measured under optimal husbandry conditions using large sample sizes. Igf1r(+/-) mice exhibited reductions in IGF-1 receptor levels and the activation of Akt by IGF-1, with no compensatory increases in serum IGF-1 or tissue IGF-1 mRNA levels, indicating that the Igf1r(+/-) mice show reduced IGF-1 signaling. Aged male, but not female Igf1r(+/-) mice were glucose intolerant, and both genders developed insulin resistance as they aged. Female, but not male Igf1r(+/-) mice survived longer than wild type mice after lethal paraquat and diquat exposure, and female Igf1r(+/-) mice also exhibited less diquat-induced liver damage. However, no significant difference between the lifespans of the male Igf1r(+/-) and wild type mice was observed; and the mean lifespan of the Igf1r(+/-) females was increased only slightly (less than 5%) compared to wild type mice. A comprehensive pathological analysis showed no significant difference in end-of-life pathological lesions between the Igf1r(+/-) and wild type mice. These data show that the Igf1r(+/-) mouse is not a model of increased longevity and delayed aging as predicted by invertebrate models with mutations in the insulin/IGF-1 signaling pathway.

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Geographical breakdown

Country Count As %
United Kingdom 3 4%
United States 1 1%
Unknown 76 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 29%
Researcher 10 13%
Other 7 9%
Professor > Associate Professor 6 8%
Student > Doctoral Student 5 6%
Other 16 20%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 29%
Biochemistry, Genetics and Molecular Biology 15 19%
Medicine and Dentistry 12 15%
Neuroscience 4 5%
Immunology and Microbiology 3 4%
Other 8 10%
Unknown 15 19%