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

ABSTRACT:

In order to explore opportunities for personalized and predictive health care, we collected serial clinical measurements, health surveys and multiomics profiles (genomics, proteomics, autoantibodies, metabolomics and gut microbiome) from 96 individuals. The participants underwent data-driven health coaching over a 16-month period with continuous digital monitoring of activity and sleep. Multiomics factor analysis resulted in an unsupervised, data-driven and integrated view of human health, revealing distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet and hormonal effects. The data revealed novel and previously uncovered associations between risk factors, molecular pathways, and quantitative lifestyle parameters. For example, ethinyl estradiol use had a distinct impact on metabolites, proteins and physiology. Multidimensional molecular and digital health signatures uncovered biological variability between people and quantitative effects of lifestyle changes, hence illustrating the value of the combined use of molecular and digital monitoring of human health.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase, Gas Chromatography MS -, Liquid Chromatography MS - positive - reverse phase

PROVIDER: MTBLS2187 | MetaboLights | 2021-09-02

REPOSITORIES: MetaboLights

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			Action	DRS
	P0387_GCMS_tms_001.cdf.zip	Other
	P0387_GCMS_tms_002.cdf.zip	Other
	P0387_GCMS_tms_003.cdf.zip	Other
	P0387_GCMS_tms_004.cdf.zip	Other
	P0387_GCMS_tms_005.cdf.zip	Other

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