Two phases model of ageing in mice: towards a better identification of age-related and late-life metabolic decline [Registered Report Stage 1 Protocol]

Abstract: Since being described in Drosophila melanogaster in 2011, the Smurf phenotype, has been seen to be evolutionarily conserved in nematode and zebrafish, and has helped to identify the discontinuous nature of ageing and predict impending death from natural causes as well as from environmental stresses. This phenotype allowed us to model ageing as being made of two successive phases : a phase A where individuals are healthy and have no risk of mortality but an age-dependent increasing risk of entering phase B, followed by a phase B where individuals show the so-called hallmarks of ageing and a high risk of death. We will test here whether these two consecutive phases of ageing separated by the Smurf transition are a conserved feature of ageing in the classical mammalian laboratory model Mus musculus. Thanks to a longitudinal longevity study using both males and females from two different mouse genetic backgrounds and by integrating physiological, metabolic and molecular measurements with the life history of approximately 150 mice, we are attempting to identify a phenotypic signature typical of the last phase of life, observable at any chronological age. Validating the two-phase ageing model in a mammalian organism would allow the high risk of imminent death to be better characterized in this model and would extend its implications to a broader range of species for aging research. 

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@Michael__Rera Do you have any preliminary data on how many animals might be necessary to have an adequately powered study for measuring ageing with the Smurf assay? Including males and females?
@arielframe I'm not sure I fully understand your question.
I wouldn't do a full longevity with mice while assessing smurfness, we did it for this paper - where you can find the power calculation, and the n = 50 per sex is the minimum.
I'd recommend using the Smurfs in mice more for studying your favourite phenotype between age matched s and non smurfs. In that context you can estimate the Smurf % at any age (if you know the longevity curve) with the math model in (Tricoire & Rera, 2015).
@arielframe or you were asking for flies?😅
@Michael__Rera Thanks! I was asking for mice this time haha
@arielframe so let's say you want to look at neurodeg between age matched smurfs and non-smurfs, I'd take min 50 mice at the T50 where you can expect 30% smurfs. This is for females here, we don't yet have the males data