This thread has been split from the Stanford Community Symposium 2018 thread. (Copied post) I'm enjoying it. I'm not sure I'll remember much of it, but I like that I'm seeing that there's real progress towards understanding at least some of what it going on. One interesting point from Maureen Hanson - her metabolomics study findings match well with Naviaux and other studies. Alain Moreau's micro RNA data looks interesting too, in that they are finding definite differences from healthy controls and finding subgroups. And Jonas Bergquist has found interesting metabolites in cerebrospinal fluid that are indicative of inflammation, if I understood it correctly. And Ron Davis explained that the virus testing they did with blood would show any viruses anywhere in the body [edit - and they found less than in healthy controls]. And they are moving on to check for RNA viruses, and other types of pathogens. That's all I can remember!
cc : @Simon M , @JaimeS I will have to see what Professor Hanson discussed on her presentation but what Jonas Berquist has said about Pregnenolone is very important (Hypothesis). Basically, Machine Learning has been identifying all the sub-issues that can lead to the same result (Hypothesis) According to the Machine Learning approach i've been using, TSPO has been identified as a potential target (as well as CYP27A1, LXR and Oxysterols which are shown below). This is from slide Number 69 of the presentation at EUROMENE: So how does this fit in Jonas Berquist findings ? Please see where TSPO is located below :
