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Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.

ABSTRACT: Multiomic profiling can reveal population heterogeneity for both health and disease states. Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic diseases. Here we report an atlas of cross-sectional and longitudinal changes in 1,111 blood analytes associated with variation in body mass index (BMI), as well as multiomic associations with host polygenic risk scores and gut microbiome composition, from a cohort of 1,277 individuals enrolled in a wellness program (Arivale). Machine learning model predictions of BMI from blood multiomics captured heterogeneous phenotypic states of host metabolism and gut microbiome composition better than BMI, which was also validated in an external cohort (TwinsUK). Moreover, longitudinal analyses identified variable BMI trajectories for different omics measures in response to a healthy lifestyle intervention; metabolomics-inferred BMI decreased to a greater extent than actual BMI, whereas proteomics-inferred BMI exhibited greater resistance to change. Our analyses further identified blood analyte-analyte associations that were modified by metabolomics-inferred BMI and partially reversed in individuals with metabolic obesity during the intervention. Taken together, our findings provide a blood atlas of the molecular perturbations associated with changes in obesity status, serving as a resource to quantify metabolic health for predictive and preventive medicine.

SUBMITTER: Watanabe K

PROVIDER: S-EPMC10115644 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.

Watanabe Kengo K Wilmanski Tomasz T Diener Christian C Earls John C JC Zimmer Anat A Lincoln Briana B Hadlock Jennifer J JJ Lovejoy Jennifer C JC Gibbons Sean M SM Magis Andrew T AT Hood Leroy L Price Nathan D ND Rappaport Noa N

Nature medicine 20230320 4

Multiomic profiling can reveal population heterogeneity for both health and disease states. Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic diseases. Here we report an atlas of cross-sectional and longitudinal changes in 1,111 blood analytes associated with variation in body mass index (BMI), as well as multiomic associations with host polygenic risk scores and gut microbiome composition, from a cohort of 1,277 individuals enrolled in a wellness progr ...[more]

PMID: 36941332

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Project description:BackgroundBody image is known as an important factor affecting different aspects of adolescents' health; however, its relationship with lifestyle, body mass index (BMI), and health-related quality of life (HRQoL) in Iranian adolescents has not been addressed in a conceptual model.ObjectivesThis study aimed to investigate the network associations among body image, lifestyle, BMI, and HRQoL in adolescent boys and girls.MethodsThe present study examined 760 adolescents (15 - 18 years) from Tehran. Adolescents reported their weight and height, according to which the participants' BMIs were calculated. The adolescents' body image, lifestyle, and HRQoL were assessed using a set of questionnaires, including the Body Image Scale for Youth (BISY), Modifiable Activity Questionnaire (MAQ), Eating Habits Checklist, Eating Attitudes Test (EAT-26), and Pediatric Quality of Life Inventory (PedsQLTM).ResultsThe participants' mean age and BMI were 16.5 ± 1.0 years and 22.4 ± 4.6 kg/m2, respectively. More than one-third of boys (39.9%) and less than a quarter of girls (22.6%) were overweight/obese. In the final model, body image was significantly and directly associated with physical activity, disordered eating, eating habits, and HRQoL in both genders (P < 0.05). Moreover, body image was directly correlated with screen time in boys (P = 0.012) and BMI in girls (P = 0.001). Body image was indirectly correlated with BMI by the mediating role of disordered eating in girls. Moreover, body image was indirectly associated with HRQoL by the mediating role of physical activity and eating habits in both genders and screen time only in boys.ConclusionsThe network associations among body image, lifestyle, BMI, and HRQoL revealed a gender-specific pattern among the study population. Body image was a significant determinant of lifestyle and HRQoL in both genders and excessive weight in girls. The present findings would contribute to designing and implementing relevant health promotion interventions.

Dataset Information

Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.

Publications

Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.

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