Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health

Abstract

We collected clinical measurements, health surveys and multiomics profiles (genomics, proteomics, autoantibodies, metabolomics and gut microbiome) from 96 individuals over 16 months, along with daily activity and sleep monitoring. Between- and within-individual variability was analysed as the participants underwent data-driven health coaching. Multiomics factor analysis resulted in an unsupervised integrated view of the data, with individual factors explaining distinct aspects of variability in human health and lifestyle, such as obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, hormonal function, exercise and diet. The data revealed both known and new associations between molecular pathways, risk factors, behaviour and lifestyle aspects. Data-driven analysis of multidimensional molecular and digital signatures of participants over time enabled deep understanding of biological variability between people as well as the systemic effects of lifestyle changes. Our study facilitates a detailed evaluation of aspects impacting on health and underlines the importance of personal molecular signatures.

Multi-omics microsampling for the profiling of lifestyle-associated changes in health

“…Over the past several years, longitudinal monitoring of physiological data has garnered considerable interest 30,[47][48][49][50] . However, the ability of wearable data to predict clinical labs has been limited 30 .…”