An innovative multi-omics approach for precision prevention in obesity epidemic

Background To date, many public health initiatives focused on obesity prevention and management show little evidence of success and efficacy. Now, novel omics technology has been successful in identifying obesity-related biomarkers in non-symptomatic individuals. The different types of omics technology: genomics, epigenomics, transcriptomics, proteomics, metabolomics and microbiomics, can partly explain the complex biology behind obesity by collecting genes, metabolites, and proteins datasets. The application of multi-omics approach can help guide lifestyle interventions targeted at individuals and bring effective public health strategies.

Methods A targeted review was conducted to provide insights on the impact of the various omics technology with obesity prevention and how they can be adapted into personalised public health interventions.

Results The detection of omics molecules illustrates the importance of genetic and epigenetic in obesity to identify which individuals are at higher risk of developing obesity. Multi-omics approach data analysis will enable a paradigm shift from the “one size fits all” approach towards precision medicine that is (1) focused on tailored treatment, (2) provides an accurate and better assessment of individuals with or without co-morbidities, (3) allow a cost effective and sustainable individual plan for health promotion and prevention of obesity, and (4) improve quality of life. Studies conducted in pre-clinical models have illustrated the important role of genetics in obesity.

Conclusion Life-style interventions in obesity weight management can be effective if we understand the biology of obesity and obesity-associated diseases.

 

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Artikel online veröffentlicht:
22. August 2022