Changes in metabolites can directly reflect the physiological and pathological status of living organisms, serving as a bridge connecting genes and biological phenotypes. Metabolomics mainly studies the content, distribution, and dynamic changes of small molecule metabolites in living organisms, and is an important technical means for studying the molecular mechanisms of metabolism at the omics level. The abnormal changes of metabolites are closely related to major diseases such as diabetes, cardiovascular diseases, fatty liver, obesity, cancer and senile dementia. Population-based metabolomics research is a systematic study of the dynamic changes of human metabolites, which is widely used in various related research fields and in the clinical diagnosis of human health, such as neonatal genetic metabolic disease screening, diabetes risk prediction and cancer screening. Collecting biological fluid samples, analyzing abnormal changes in metabolites and detecting metabolic biomarkers are gradually becoming the basis for diagnosing major diseases.  

Chairs

Zhu Zhengjiang

Research fellow, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences (CAS)

Tang Huiru

Professor, Fudan University 

Invited speakers & reports

Tang Huiru

Professor, Fudan University

Report: Population-based metabolomics and challenges

Yin Huiyong

Research fellow, Shanghai Institute of Nutrition and Health, CAS

Report: Metabolomics in hyperuricemia and gout 

Zheng Lemin

Professor, Peking University Health Science Center

Report: Metabolomics and cardiovascular medicine research  

Zhu Zhengjiang

Research fellow, Shanghai Institute of Organic Chemistry, CAS

Report: Mass spectrometry-driven precise metabolomics technologies and applications 

Lyu Haitao 

Professor, Hong Kong Baptist University

Report: Functional metabolomics innovations for the interdisciplinary sciences of life and health 

Wu Junfang

Research fellow, Tongji Medical College of Huazhong University of Science and Technology

Report: The role of target metabolites in the diagnosis and early warning of heart failure