I agree with this generally, but one of the difficult things we face right now is what are the “right” measures, and what are “good” results? What is the “wrong direction”?
I think we need to talk with researchers more. For example - from what I’ve read, it seems that mice live up to 28 % longer on rapamycin despite glucose and lipid disregulation. Does this mean that these numbers are less important than some other factor in terms of the longevity increase? If we looked only at the mouse lipid and glucose measures we might conclude that it is “failing” to improve things, while at the same time the mice are living healthier and longer, with fewer diseases.
Talking with Matt Kaeberlein at the Longevity Summit the other week, he thinks that any increase in blood glucose level responsiveness to carbs is a good thing… it probably shows that the system is functioning well, just like what you see in people who are fasting or eat carbs after caloric restriction (he puts himself in the Blaggosklonny camp in this area).
I also talked with Tim Peterson who studied MTOR in the Sabatini lab and is now running a Washington University lab (and helping run VitaDAO), and his opinion was that high glucose levels might be a good proxy for mTOR2 inhibition (so a CGM might be a good way to track potential immune system depression). Matt K. disagreed with this.
So while I’m all for measuring outcomes… its really unclear to me right now what the optimal measures are. Its something that I think we and the researchers really need to figure out.
I was recently talking with the National University of Singapore medical team that is starting a rapamycin trial in early 2023 in people as part of their new longevity clinic. They also are struggling with these issues… their IRB is asking questions like "what do you do if blood glucose levels or lipid levels rise above recommended clinical levels? What are the cuttoff points for changes in these levels for excluding someone from the trial? Do you add metformin, or lipid reduction agents? … How does that impact the interpretation of the trial? Nobody has great data-based responses to these types of questions yet.
Everyone is grappling with these issues right now.
So - I wouldn’t get too critical on any of the users here about their approach or interpretations. Everyone is all over the map still.
That said, I do encourage everyone to measure blood results frequently so we at least understand what is going on in our bodies. Over time we’ll figure out what the right measures are.
And if results are not to what you think they should be, take a break from rapamycin.