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The complete set of small molecules found in biological organisms with a size of <1,500 Dalton, also known as metabolites [1][2]. This comprises biochemical substances such as amino acids, nucleic acids, fatty acids, vitamins, and hormones, as well as external chemicals like drugs, environmental contaminants, food additives, toxins [3][4] and metabolites produced by the gut microbiome.As of 2022, over 200,000 metabolites have been identified in nature, 40,000 of which are in blood, and over 1,500,000 are expected to still be identified (what we call the dark metabolome) [5].
We use an innovative collection device used in studies at Stanford, Cornell, and various pharmaceutical companies. Users of the device report it to be nearly completely painless. The sample is collected from the comfort of your own home.
The collection device contains a stabilizing substance that allows the dried sample to be returned without the need for refrigeration. View the complete instructions here.
Using mass-spectrometry technology, the analysis is performed on as little as 20ul, so the 80ul we collect is more than enough for accurate measurements [6][7].
When the sample arrives at the lab, we store it at -80°C. Samples are defrosted, centrifuged to collect the desired blood extracts, and the extract is dried under liquid nitrogen.
We use a separate sterilized device for each sample to remove each sponge and place each of the sponges into their own Eppendorf tubes. It takes approximately 5 hours to prepare the sample using a 96-well plate.
Our machine learning methods analyze your data. Your results are then generated by comparing your personalized report to iollo’s database built from a curated list of peer-reviewed scientific research, domain knowledge from our team of scientists, previous testing, and user feedback.
Depending on the number of tests you do, our models calculate your trends after a few weeks or months, which allows you to build your own, individualized longitudinal metabolic monitoring.
The recommendations we provide are based on published studies that are known to positively impact the metabolome and health. We match you with recommendations that could benefit your metabolome the most.
For example, some well-studied interventions that we could match you with include the DASH diet [8] (which reduces the risk for heart disease), fasting [9, 10], targeted physical activity [11], and more. As you build your metabolomic trends when you test over time, we'll also be able to train personalized ML models for you and give you better recommendations that you are more likely to respond to.
Pietzner, Stewart, Raffler, Khaw, Michelotti, Kastenmüller, et al.
Wishart, Guo, Oler, Wang, Anjum, Peters, et al.
Nucleic Acids Research