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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

SUBMITTER: Francesco Marabita

PROVIDER: MTBLS2187 | MetaboLights | 2021-09-02

REPOSITORIES: MetaboLights

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Project description:Lifestyle intervention can improve insulin sensitivity in obese youth yet few studies have examined the biological mechanisms underlying improvements. Therefore, the purpose of this study was to explore biological pathways associated with intervention-induced improvements in insulin sensitivity. Fifteen (7M/8F) overweight/obese (BMI percentile=96.3M-BM-11.1) Latino adolescents (15.0M-BM-10.9 years) completed a 12-week lifestyle intervention that included weekly nutrition education and 180 minutes of moderate-vigorous exercise per week. Insulin sensitivity, estimated by an oral glucose tolerance test and the Matsuda Index, increased 29.2% post intervention (2.4M-BM-10.3 to 3.1M-BM-10.3, p=0.01). Global microarray analysis profiling from whole blood was performed to examine changes in gene expression and to explore biological pathways that were significantly changed in response to the intervention. A total of 1,459 probes corresponding to mRNA transcripts (717 up, 742 down) were differentially expressed with a fold changeM-bM-^IM-%1.2 and P<0.05. Among the genes identified were hexokinase 3 (HK3), ATPase, H+ transporting V0 subunit e2 (ATPV0E), and sterol regulatory element binding transcription factor 1 (SREBF1), and endothelial cell adhesion molecule (ESAM). There were 8 pathways identified that met the criteria for significance, including insulin signaling, type 1 diabetes, and glycerophospholipid metabolism. Participants that increased insulin sensitivity exhibited five times the number of significant genes altered compared to non-responders (1,144 vs. 230). These findings offer insight into the molecular mechanisms underlying health improvements among high-risk Latino youth. Lifestyle interventions may contribute to improved insulin sensitivity through pathways related to insulin signaling and immune response. Further, genetic factors may mediate response to lifestyle intervention. Fifteen (7M/8F) overweight/obese Latino Youth Whole blood RNA samples evaluated pre and post intervention.

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

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