How digital and molecular data can be integrated and used to improve health
Analysing molecular characteristics and their variation during lifestyle changes, by combining digital tools, classical laboratory tests and new biomolecular measurements, could enable individualised prevention of disease. This is according to a new study from Karolinska Institutet in Sweden and the University of Helsinki in Finland published in the journal Cell Systems. The researchers show what a proactive healthcare model could comprise and how it could help in maintaining good health.
Sensors, apps and other digital alternatives for monitoring health are increasing our ability to take proactive measures to improve our health and wellbeing. Moreover, the simultaneous measurement of numerous biomolecular variables (multiomics) enables deep and comprehensive profiling of human biology.
“Instead of focusing on the treatment of the later stages of disease, future healthcare services could focus on more proactive and individualised interventions and on the early detection of disease,” says the study’s first author Francesco Marabita, researcher at the Department of Oncology-Pathology, Karolinska Institutet and SciLifeLab in Sweden. “It might sound a little futuristic, but the technology is already there.”
The Digital Health Revolution (DHR) project is a multicentre study set up a few years ago by researchers, amongst other institutions, from the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki to explore and pilot future approaches to healthcare.
The study spanned 16 months and included 96 individuals between the ages of 25 and 59 who were registered at an occupational healthcare clinic in Helsinki, Finland. There were no known serious diseases, but some of the participants had risk factors such as high blood pressure, elevated glucose or obesity.
The molecular profiling was done in collaboration with investigators from Karolinska Institutet and SciLifeLab. In addition to extensive multiomics analyses, the serial data collection included online questionnaires, clinical laboratory measurements in blood samples, analysis of the gut microbiome, and activity and sleep data using a smart watch. More