Introduction of Department of Molecular Biology for Public Health in SCDC Ye Lu Shanghai Municipal Center for Disease Control & Prevention Shanghai Institute of Prevention Medicine April,2008

Laboratory Building Department of Molecular Biology For Public Health (DMB)

Genomic Research Bio-bank Proteomic Research Bio-informatics Construction of DMB Bio-bank: collection, analysis and management of bio-samples Genomic research: SNP analysis of chronic diseases Proteomic research: differential proteomic research of infectious diseases and carcinoma Bio-informatics: research data analysis

Main Tasks of DMB Provide technical platform Cooperate on research projects

Research Projects Proteomic Research of Lung Cancer Proteomic Research of Liver fibrosis Proteomic Research of MDR-TB SNP analysis of COPD Early diagnosis of Breast Cancer Hypertension, Shock & Other Cardiovascular Diseases in Senior population

Objective Find serum biomarkers for early diagnosis of lung cancer. Explain the mechanism of the biomarkers, together with the relationship of smoking. Proteomic Research of Lung Cancer

Population Healthy Patients with shadow in lung Patients with nub in lung Patients with lung cancer

Technology: SELDI-TOF-MS

Methods Analyze the proteomic difference between healthy serum and lung cancer patient serum. Screen the difference among patients with shadow/nub in lung for early diagnosis of lung cancer. Analyze the relationship of the difference and the exposure to smoking.

Progression from HBV infection to cancer Exposure to HBV No infection Chronic infection Cirrhosis Asymptomatic carriers Slowly Progressive HCC ?%?% ?%?% 10% Years Infection Acute infection (HBV clearance) 90% Death ~25% Proteomic Research of Liver fibrosis Liver fibrosis is the middle stage in the course of chronic HBV infection.

Objective Find plasma biomarkers for early diagnosis of liver fibrosis Explain the mechanism of liver fibrosis

Population For screening: patients with different stages of liver fibrosis,but the same grade of liver inflammation For validation: patients with different stages of liver fibrosis and different grades of liver inflammation

Four stages of fibrosis (A ～ B:S1 ～ S4) Four grades of inflammation (A ～ B:G1 ～ G4)

Grade of Inflammation Stage of fibrosis G1G2G3G4 S1G1S1G2S1G3S1G4S1 S2G1S2G2S2G3S2G4S2 S3G1S3G2S3G3S3G4S3 S4G1S4G2S4G3S4G4S4 Screening Population Validation Population

Technology: 2D-DIGE

Methods Analyze the proteomic difference among various stages of liver fibrosis patients. Validate the difference in a large scale of clinical samples. Combine the proteomic difference with other 17 clinical tests for early diagnosis of liver fibrosis.

Proteomic Research of MDR-TB

Objective Find new antibody against MDR-TB in the serum of TB patients. Identify the corresponding antigen in TB strain. Find new method for early diagnosis of MDR- TB.

Technology: 2D-LC based SERPA

SNP analysis of COPD patients Air-pollution is one of the main causes of COPD. Molecular Mechanism SNP of related enzyme? Working Hypothesis Air-pollution DNA damage COPD DNA repair system ×

Collect clinical samples and healthy volunteers from Tai Yuan, San Xi Province, China. Analyze the SNP of DNA repair enzyme genes(ERCC2/XPD, XPA and XPG). Analyze the relationship among environmental exposure, occupation experience, gene SNP and clinical symptom of COPD.

Breast Cancer Have 8,000 women a mammogram test and an epidemiology survey. Follow up the incidence of breast cancer among the population. TO  Evaluate the effect of mammogram on the early diagnosis of breast cancer.  Analysis the risk facts of breast cancer. A mammogram is an x-ray of the breast, which may find tumors that are too small to feel.

Hypertension, Stroke & Other Cardiovascular Diseases Have 150,000 senior a medical check-up. Keep the results of the examination, and do an epidemiology survey. Collect bio-samples of plasma, serum and whole blood. Follow the incidence of various diseases among the population.  Get general health information  Give advice on healthcare TO

Bio-bank We are mostly interesting in Criteria of sample selection SOP for sample collection & storage Maintenance & management of bio-bank

Data analysis Associating Classifying Modeling & Simulating Predicting & Testing

Thank you!