About
By 2030, noncommunicable diseases (also known as common diseases or complex diseases) are the largest cause of deaths in the world accounting for 40% of all fatalities. It becomes imperative to prioritize efforts dedicated to the prevention and treatment these complex conditions. However, current knowledge regarding these diseases remains limited.
To address this gap, the present undertaking aims to employ an integrated approach, leveraging the wealth of genetics, metabolomics, proteomics, medical records and comprehensive epidemiological data. Through multidimensional analyses, we aim to discover new risk factors, identify potential biomarkers, and understand causal relationships for various disease such as respiratory diseases, cardiovascular diseases, digestive diseases and neurologic disorders.
Probing circulating proteins provides unique opportunities to uncover novel biomarkers and improve our understanding of etiology of those diseases. Similarly, blood metabolome is considered as important readouts of aggregated information from genetic factors, gene expression to protein abundance, as well as external environmental factors. To accomplish this, we will combine multi-omics (i.e., proteomics and metabolomics) and epidemiological data to discover novel risk factors, biomarkers and provide definitive evidence for known associations of noncommunicable diseases risk reported by traditional observational studies. Our endeavor will encompass the analysis of multi-omics and epidemiological information, enabling us to unravel new risk factors, identify potential biomarkers, and comprehend the intricate web of causal relationships underpinning various noncommunicable diseases. This comprehensive exploration will include common conditions such as stroke, Parkinson's disease, inflammatory bowel disease, heart failure, hypertenstion and more.