TY - JOUR
T1 - Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health
AU - Marabita, Francesco
AU - James, Tojo
AU - Karhu, Anu
AU - Virtanen, Heidi
AU - Kettunen, Kaisa
AU - Stenlund, Hans
AU - Boulund, Fredrik
AU - Hellström, Cecilia
AU - Neiman, Maja
AU - Mills, Robert
AU - Perheentupa, Teemu
AU - Laivuori, Hannele
AU - Helkkula, Pyry
AU - Byrne, Myles
AU - Jokinen, Ilkka
AU - Honko, Harri
AU - Kallonen, Antti
AU - Ermes, Miikka
AU - Similä, Heidi
AU - Lindholm, Mikko
AU - Widén, Elisabeth
AU - Ripatti, Samuli
AU - Perälä-Heape, Maritta
AU - Engstrand, Lars
AU - Nilsson, Peter
AU - Moritz, Thomas
AU - Miettinen, Timo
AU - Sallinen, Riitta
AU - Kallioniemi, Olli
N1 - Funding Information:
This study was supported by Academy of Finland, Tekes/Business Finland, Sigrid Jusélius Foundation, and Knut and Alice Wallenberg Foundation.
PY - 2022/3/16
Y1 - 2022/3/16
N2 - We explored opportunities for personalized and predictive health care by collecting serial clinical measurements, health surveys, genomics, proteomics, autoantibodies, metabolomics, and gut microbiome data from 96 individuals who participated in a data-driven health coaching program over a 16-month period with continuous digital monitoring of activity and sleep. We generated a resource of >20,000 biological samples from this study and a compendium of >53 million primary data points for 558,032 distinct features. Multiomics factor analysis revealed distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet, and hormonal effects. For example, ethinyl estradiol, a common oral contraceptive, produced characteristic molecular and physiological effects, including increased levels of inflammation and impact on thyroid, cortisol levels, and pulse, that were distinct from other sources of variability observed in our study. In total, this work illustrates the value of combining deep molecular and digital monitoring of human health. A record of this paper's transparent peer review process is included in the supplemental information.
AB - We explored opportunities for personalized and predictive health care by collecting serial clinical measurements, health surveys, genomics, proteomics, autoantibodies, metabolomics, and gut microbiome data from 96 individuals who participated in a data-driven health coaching program over a 16-month period with continuous digital monitoring of activity and sleep. We generated a resource of >20,000 biological samples from this study and a compendium of >53 million primary data points for 558,032 distinct features. Multiomics factor analysis revealed distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet, and hormonal effects. For example, ethinyl estradiol, a common oral contraceptive, produced characteristic molecular and physiological effects, including increased levels of inflammation and impact on thyroid, cortisol levels, and pulse, that were distinct from other sources of variability observed in our study. In total, this work illustrates the value of combining deep molecular and digital monitoring of human health. A record of this paper's transparent peer review process is included in the supplemental information.
KW - lifestyle changes
KW - multiomics data integration
KW - P4 medicine
KW - personalized medicine
KW - precision health
KW - precision medicine
KW - systems medicine
UR - http://www.scopus.com/inward/record.url?scp=85122964198&partnerID=8YFLogxK
U2 - 10.1016/j.cels.2021.11.001
DO - 10.1016/j.cels.2021.11.001
M3 - Article
C2 - 34856119
AN - SCOPUS:85122964198
SN - 2405-4712
VL - 13
SP - 241-255.e7
JO - Cell Systems
JF - Cell Systems
IS - 3
ER -
