So that's exactly . So that means what we know so far about biomarkers . Uh those he could not use to predict , maybe there was a lot of noise , maybe he wanted , he had to use more number of mice to get that because you know , biomarkers , I'm not going to predict .
So that was really profound . But now you pointed out um biomarker and other stuff . So now if you look at any given time within that experiment and actually Joe went back and um had a separate cohort of mice very similar and so that he could take tissue samples .
So that means in this experiment , whatever we know so far the predictor of longevity , none of them could predict whether this um see our only mouse which at throughout day and night , that mouse is going to live less than the night fed mouse that was going to live 35 25% extra . Does that mean that there are biomarkers related to longevity that we just haven't discovered yet ? So that's exactly .
So that means what we know so far about biomarkers . Uh those he could not use to predict , maybe there was a lot of noise , maybe he wanted , he had to use more number of mice to get that because you know , biomarkers , I'm not going to predict . In every instance , there is some error .
And of course , in this case , you have to sacrifice the mouse . And he looked for um he did a lot of molecular analysis with non markers . For example , hemoglobin , a one c equivalent of glucose control cholesterol , all this stuff , he could not find anything that predicted the benefit of caloric restriction .
