Re the affiliations, it is correct that these institutions aren’t directly endorsing iollo. Though both Jan and I are actively affiliated with said institutions and are translating what we have learned through our metabolomics research into iollo.
One thing to clarify here is that currently, we don’t treat patients and our tests are only intended to improve wellness. That being said, we do see biomarkers for specific food intake. Coffee is one example, where if someone has an unusually high levels of the biomarker for it and has difficulty sleeping during the night, reducing coffee intake may improve their sleep level and quality. We also have metabolites that associate with specific food, like beer, meat, vegetables and other that we can already use and that have been published. Also as our database grows, we’ll be able identify new food intake markers and will also publish and use them.
At our current stage, we don’t recommend any supplements. It is a part of our roadmap and once we do, we will only give supplement recommendations if we identify solid research that support their health benefits that can also be detected through metabolomics analysis.
Re the age-related diseases, what we mean on the website is that the genetic population attributable fraction for age-related diseases is around 15%, and that biological layers that captures the interactions between genetics and the environment which are related to these conditions is ~85%, which includes the metabolome. Source: https://journals.plos.org/plosone/article?id=10.1371/journal... We’ll work on further clarifying the language in a way that it would still be understandable from people outside of the research field.