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Thank you for this review Dr Yassine. There is a lot of action on different binding sites on potential tau therapies and lots happening. Your point about systems based thinking is I think correct. The trouble is that with multiple pathological processes finding as you say meaningful biomarkers in a practical timeframe of study is difficult especially with a per single agent approach to trials. The per single agent approach is because a given company tests one agent at a time. Logically this difficulty with trying to fix a network problem with a single agent leads to wanting some kind of gene therapy ( and /or silver bullet old school thinking) much earlier in life combined with exercise/lifestyle/diet etc as this might target the root cause and thereby the later pathological cascade.

The wicked problem beyond that is the timeframe of assessing a particular gene therapy now in the currently affected adult carrier and finding the useful signal in the noise of a multicentric forest fire. Again finding that signal that tests gene therapy ( or any other significant therapy) so it can be rolled back into a treatment for non symptomatic earliest possible gene carriers often decades before onset is a complex social , ethical , and scientific and commercial problem. Cognitive outcome is critical but may take time to assess eg uniqure . Not to mention what other treatment is needed to help the millions of older adults alive today.

That is why I think often thoughtful and well educated people try to make what are effectively network problem bets using supplements / exercise etc and everything else and will combine those where they can with the progressive fruits of the current pharma/ science research project . And as these individuals are or may be generally well aware and can be clear headed about their risks and timeframe surely there is a place for researchers to better map these many thousands of individuals , offer best scientific evidence and apply big data AI based approaches to see what network problem benefits might be accruing or not? Predict-HD is a primitive example of what is now possible. I think it’s well time to embrace what often smart, thinking reading informed people are actually doing in a network problem and use it scientifically. Dr Nick Norwitz Stay Curious is a good example. Mapping all following such an approach with big data might lead to some interesting and accessible insights and trial cohorts . All the best and welcome your thoughts.

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