DNA Methylation Clocks' Predictive Capacity for Aging Phenotypes and Healthspan

  • Ok, ELI5 anyone? I have a homozygous MTHFR 677 C>T mutation, e.g. my body methylates at like 20-30% efficiency unless I supplement with methylated B-12, e.g. methylcobalamin. Is this study good news for me or bad news for me?

  • Really looking forward to some of the startups in this area, specifically companies that A) help you measure how healthy you are, and then B) help direct you on how to optimize your own health. One would think this is a job for our current medical system, but preventative care and true health and longevity optimization get very little attention compared to treating problems as they come up and settling for mediocrity.

    There's a lot of interesting people that work on minimizing their biological age (sometimes measuring it with simple blood metrics that correlate with youth, and other times with more advanced and speculative ones like DNA methylation tests), and it's definitely an important, neglecting, and upcoming area. The downside is that to do a good job of maximizing your health and lifespan like this, it takes a lot of work, time, money, and research. For that reason I'm hoping some startups in this area do some amazing work and really start to make the field of healthspan and lifespan optimization more mainstream and accessible.

    Some related links for those interested: https://peterattiamd.com/podcast/ (one of my favorite podcasts focusing on optimizing health and longevity), https://levels.health (GCM/metabolic fitness tracking startup), https://old.reddit.com/r/longevity/ (subreddit with many interesting links on longevity), https://ouraring.com/ (detailed sleep tracking+optimization startup), https://www.zerofasting.com/ (app to help track+optimize+inform about fasting), https://michaellustgarten.com/ (another interesting Doctor that does a lot of work on optimizing blood markers and diet), https://hackernoon.com/im-32-and-spent-200k-on-biohacking-be... (a more eclectic but nonetheless interesting approach to many biomarker optimizations)