Department of Biomedical Sciences, SNU
KOR

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Cho, joo-youn

Ph.D. / Professor
Pharmacometabolomics Lab
TEL +82-2-740-8286
FAX 02-2072-2960
E-MAIL joocho@snu.ac.kr
WEBSITE http://cpt.snu.ac.kr/

Research

Research Field
Prof. Cho is interested in personalized drug therapy through metabolomics, pharmacometabolomics, and pharmacogenomics. She has been conducting more than 20 metabolomics studies for identifying novel metabolic biomarkers related to drug response and disease. Through collaboration with clinical and basic medical research teams, her research team is identifying new underlying mechanisms and discover drug targets, ultimately leading to the personalized drug therapy. Recently, her research team is actively conducting studies on metabolomics in the various field of cardiovascular, respiratory, liver, kidney, brain diseases, cancer, and the microbiome.
Pure Link
https://snucm.elsevierpure.com/en/persons/y-cho-14
Keyword
Personalized drug therapy, Drug Metabolism, Metabolomics, Pharmacometabolomics, Pharmacogenomics
Intensive Major
# Omics Medicine

Education

  • B.S. in Pharmacy, Duksung Women’s University, Seoul, Korea
  • M.S. in Pharmacy, Duksung Women’s University, Seoul, Korea
  • Ph.D. in Pharmacology, Duksung Women’s University, Seoul, Korea

Career

  • Professor, Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Department of Biomedical Sciences Seoul National University College of Medicine

Publication

  1. Changes in the gut microbiome influence the hypoglycemic effect of metformin through the altered metabolism of branched-chain and nonessential amino acids. Diabtes Res Clin Pract. 2021
  2. The potential pathways underlying the association of propyl‑paraben exposure with aeroallergen sensitization and EASI score using metabolomics analysis. Sci Rep. 2021
  3. Nicotinamide attenuates the decrease in dendritic spine density in hippocampal primary neurons from 5xFAD mice, an Alzheimer's disease animal model. Mol Brain. 2020
  4. Colorectal cancer diagnostic model utilizing metagenomic and metabolomic data of stool microbial extracellular vesicles.Sci Rep. 2020
  5. Comprehensive Metabolomic Search for Biomarkers to Differentiate Early Stage Hepatocellular Carcinoma from Cirrhosis. Cancers (Basel). 2019
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