March 05, 2020 - 4:30 pm March 05, 2020 - 5:30 pm

New York Campus

110 William Street, 19th Floor
New York, NY 10038

New York skyline at sunset

Event Details

Room 5

With Dr. Olga Reznikova and Dr. Chava Quist, LAc, DACM

Multiomics is a biological analysis approach combining a variety of focused data sets to develop a more dynamic evaluation of the whole. This can create a clearer picture of biological markers or pathways for disease, as well as inform the engineering of therapeutic interventions and show organism response to such. 

Omics technologies used in this integration are genomics (genes or variants present in disease or in response to treatments), epigenomics (tracking DNA modifications that can be inherited markers for disease vulnerability), transcriptomics (study of qualitative and quantitative RNA content in the genome), proteomics (looking at protein levels, actions and modifications in the genome), metablomics (following metabolite presence and action in tissues and cells) and microbiomics (study of microorganism communities present on skin, mucosal tissues and gut).  

Multiomics is an active and growing area in the fields of both systemic and molecular biology. Could this be an appropriate yardstick to qualitate clinical results with Chinese medicine in the arena of research? Could a multiomics approach be used to validate Chinese medicine diagnosis, often criticized for susceptibility to subjective influence?

In this talk, we will look at Clinical Applications of Omics Technologies on ZHENG Differentiation Research in Traditional Chinese Medicine (Song, Zhang, Zhang, Su; 2013), and examine the impact of multiomics on the understanding of Chinese medicine pattern diagnosis. We will also reference additional articles that speak to the multiomics approach in herbal practice and research.

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