EarlDwolanson

Yes - statistical differences do not equal predictive power for diagnosis/prognostics.

So to be clear, you currently do not use isotopically labelled standards? I am strugling to understand if you are producing absolute quantification results or relative abundances with your workflow.

I do agree, but lets see what the OP say. It would be good to see on their website an example report of what their product actually looks like.

Not the OP but I work in the field and I can tell you why its atttactive to sample more (for the company...). Between individual variability is a massive confounder in biofluid metabolomics and there are no studies that "densely" measured longitudinal trends over time on a large number of samples... There is no good baseline of normal over time for these markers and they need this info to figure out when to measure for diagnostic and whether this will ever be any good.

Are you measuring the 650 markers mentioned there? If so, are you outsourcing your samples analysis to Metabolon? How do you ensure data is comparable over time?