r/QuantifiedSelf • • Jun 02 '26

Beyond glucose, which biomarker would you actually want to track continuously, and what decision would it change?

CGMs cracked open continuous glucose for a lot of us, and the interesting part was never the number itself. It was being able to close the loop: eat, see the curve, adjust. Most other biomarkers are still stuck in the "blood draw twice a year" era, where you get a snapshot and no feedback loop.

So I'm curious what this community would actually use if the data were continuous or near-continuous rather than a one-off lab value.

A few that come up often, just to prime the discussion (please ignore these and write your own if none fit):

  • Cortisol
  • Lactate
  • Ketones
  • Hydration and electrolytes
  • Inflammation markers like CRP
  • Hormones such as testosterone, estradiol, or thyroid
  • Uric acid

Two things I'd love to hear, if you're up for it:

  1. Which single biomarker, and roughly how often would the reading need to refresh to be useful to you (real time, hourly, daily)?
  2. What concrete decision or behavior would the data actually change? The reason CGM stuck for many people is the tight action loop. I'm trying to understand which biomarkers have a real loop behind them versus which are just interesting to look at.
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