the hong kong diabetes biobank

Conditions: Diabetes Mellitus; Type 2 Diabetes; Type 1 Diabetes; Diabetic Nephropathies; Diabetic Kidney Disease; Diabetic Angiopathies; Cardiovascular Diseases; Coronary Heart Disease; Diabetic Retinopathy; Stroke; Diabetes

Summary: asia is in the midst of an epidemic of diabetes. epidemiological figures suggest that there are more than 110 million people affected by diabetes in china, with a significant proportion of young adults already affected. with increasingly young age of onset, the financial implications due to productivity loss and health care expenditures are colossal. as a result, prevention of diabetes and diabetic complications has been identified as a top healthcare priority in china. in chinese, diabetic kidney disease with albuminuria, which reflects widespread vascular damage, is a major predictor for end-stage renal failure, cardiovascular complications and death, and a major contributor to the increased healthcare burden associated with diabetes. there is an immense demand for effective tools which can accurately predict diabetes and diabetic complications. only few genetic factors have been consistently shown to be associated with diabetic kidney disease or other diabetic complications. identification of genetic factors or other biomarkers predicting these complications can facilitate early identification of high risk subjects for treatment, as well as provide novel targets for drug treatment. to address this, the investigators plan to utilize both hypothesis-generating whole-genome approach as well as candidate gene-based studies to identify novel genetic, epigenetic factors as well as other biomarkers associated with the development of diabetic cardiovascular and renal complications, as well as other diabetes-related outcomes. the hong kong diabetes biobank (hkdb) is being established in order to serve as a territory-wide diabetes register and biobank for epidemiological analyses, as well as large-scale discovery and replication of genetic and epigenetic markers, and other biomarkers relating to diabetes, diabetes complications or related outcomes. subjects will be recruited from diabetes centres across hong kong, and will have detailed clinical information collected at the time of written consent and blood taking. subjects will have detailed assessment of baseline diabetes complications through a structured clinical assessment, and will be prospectively followed up for development of different diabetes-related endpoints, as well as collection of clinical information and causes of hospitalization, along with information on medications and prescription records. this multi-centre cohort and biobank aims to improve our understanding of the epidemiology of diabetes and diabetes complications and related outcomes, as well as provide a unique resource for large-scale biomarker research to advance diabetes care and precision medicine in diabetes.

the hong kong diabetes biobank leverages on the existing infrastructure of clinical assessment for people with diabetes. subjects undergoing routine diabetes complications screen at different diabetes centres across hong kong will be invited for recruitment into the hong kong diabetes biobank. subjects will receive detailed information and explanation of the study, and written informed consent will be obtained from each subject interested in participating in the study. as part of the routine diabetes complications assessment, all subjects will undergo a structured assessment based on the same protocol, including collection of background clinical information including demographics, diabetes duration, family history, medications and other relevant medical information. anthropometric measurements including body weight, height, bmi will be collected. clinical assessment include blood pressure, as well as fundus photography for assessment of diabetic retinopathy, and examination of peripheral pulses for peripheral vascular disease. urine microalbumin will be measured using spot urine albumin/creatinine ratio. other biochemical assessment include renal function, liver function, estimated gfr, fasting lipid profile, fasting glucose and hba1c. an additional 20ml blood will be obtained from each participating patient for extraction of genomic dna, storage of serum, plasma, and for subsequent biomarker studies. samples will be transported and processed for secure centralized storage at -80°c in dedicated facilities fitted with alarms. samples will be identified by a unique assigned sample code. selection and use of the samples for replication studies will be governed by the steering committee. all recruited subjects will be prospectively followed up for development of diabetes complications and other clinical endpoints. other clinical information and prescription records would be obtained from the electronic medical records. initial analyses would include identification of biomarkers associated with cardio-renal complications in diabetes. subjects from the registry who have developed renal complications (diabetic kidney disease (dkd) defined as stage 3 chronic kidney disease or worse i.e. egfr ≤60ml/min/1.73m2 and/or micro/macroalbuminuria) on prospective follow-up, will be compared to subjects free of kidney complications. subjects who developed cardiovascular complications (defined as new-onset acute coronary events, coronary revascularization, stroke and congestive cardiac failure) will be identified for a case: control analysis to replicate genetic predictors and other biomarkers associated with development of cardiovascular complications. control subjects will be identified as subjects with type 2 diabetes who are free of cardiovascular events described above despite long duration of disease. other clinical outcomes of interest include diabetes progression and need for treatment intensification (including initiation of insulin treatment), as well as other clinical events.

Eligibility criteria:
inclusion criteria: * subjects with known diabetes exclusion criteria: * subjects not capable of giving written informed consent

Keywords: genetics genomics precision medicine biomarkers proteomics epigenetics