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Longevity: Data on the accumulation of advanced glycation endproducts in the body over time #22

Open jdhodgkins opened 2 years ago

jdhodgkins commented 2 years ago

Bounties for Foresight Technical Groups

Each of these will run for 6 weeks, the objective is to stimulate conversation and get people thinking about interesting and relevant future science. Submissions will be in the form of project proposals for solving these issues, and several winners will be chosen for each category. A short overview on the problem, a description of a solution, and your plan to implement it are required in the submission.

Data on the accumulation of advanced glycation endproducts in the body over time

Advanced glycation endproducts are suspected to be the root of chronic inflammation in the body. Data about accumulation over time would prove or disprove this theory and possibly lead to a breakthrough in healthcare.

Submit your bounty-response below for your chance to be rewarded 0.15 ETH.

gitcoinbot commented 2 years ago

Issue Status: 1. Open 2. Started 3. Submitted 4. Done


This issue now has a funding of 0.15 ETH (458.7 USD @ $3057.98/ETH) attached to it as part of the https://github.com/foresight-org fund.

gitcoinbot commented 2 years ago

Issue Status: 1. Open 2. Started 3. Submitted 4. Done


Work has been started.

These users each claimed they can complete the work by 4 hours from now. Please review their action plans below:

1) ify01 has started work.

i will give my best project proposal on this issue. 2) zauberkugel2 has started work.

No. Accumulation data can only disprove your "suspicion", not prove it. Because if you have correlation, then you still don't know if there is causation, or in which direction it might flow.

That's exactly why nobody will give you a longitudinal study of tissue AGEs vs. chronological age or longevity. I mean think about it, you do an experiment, where a "good" result doesn't really tell you anything, and a "bad" result might accidentally disprove your entire field of activity along with the career prospects of every single highly specialized professional inside it. These people know the cross-sectional studies. (e.g. PMID 15677467). Those charts look like the result of an art therapy session. You can easily find healthy 30 year olds with more skin collagen AGE signal than 80 year olds with one foot in the grave and one on a banana peel. You would fear that a longitudinal study would look just as horrifying. No way anyone is going to touch it.

But you didn't actually ask about aging or longevity -- you asked about chronic inflammation. That's more possible, because then you can define inflammation however you want. There are easily 100s, if not 1000s of markers that could plausibly pass for inflammation. You correlate all that with tissue AGEs (can just look at databases!), and then there are going to be a handful of markers that randomly support whatever story you want to tell with an R2 nobody is going to complain about. Put those handful in the paper, don't say anything else, and declare victory. I call this the "Bonferroni turns in his grave fallacy". It's one of just a handful of gimmicks they use to fool the willing. It's hard to find an aging paper that doesn't do it these days.

That's of course also why there is a common belief that "chronic inflammation" is correlated with anything "bad" that happens in aging and longevity. It’s true, there are precious few specific markers that predict or even contribute to specific diseases, like CRP, TNFa. But in general terms, there is no such thing as a consensus definition of "chronic inflammation", and therefore also nothing to correlate it with. A bunch of mediocre-skill level cherry-picking is what it is. 3) igna11h has started work.

Think, write, repeat as much a i can

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gitcoinbot commented 2 years ago

Issue Status: 1. Open 2. Started 3. Submitted 4. Done


The funding of 0.15 ETH (266.66 USD @ $1777.73/ETH) attached to this issue has been cancelled by the bounty submitter