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The Hong Kong Diabetes Biobank (HKDB)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. Identifier: NCT05282680
Recruitment Status : Recruiting
First Posted : March 16, 2022
Last Update Posted : March 16, 2022
Information provided by (Responsible Party):
Professor Ronald C.W. Ma, Chinese University of Hong Kong

Brief 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.

Condition or disease
Diabetes Mellitus Type 2 Diabetes Type 1 Diabetes Diabetic Nephropathies Diabetic Kidney Disease Diabetic Angiopathies Cardiovascular Diseases Coronary Heart Disease Diabetic Retinopathy Stroke Diabetes

Detailed Description:

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.

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Study Type : Observational [Patient Registry]
Estimated Enrollment : 48000 participants
Observational Model: Cohort
Time Perspective: Prospective
Target Follow-Up Duration: 99 Years
Official Title: An Integrated Trans-omics Approach to Diabetic Cardio-renal Complications: From Novel Discoveries to Personalized Medicine Substudy 2: The Hong Kong Diabetes Biobank
Actual Study Start Date : February 1, 2014
Estimated Primary Completion Date : December 31, 2022
Estimated Study Completion Date : December 31, 2063

Resource links provided by the National Library of Medicine

Type 2 diabetes
Subjects with a diagnosis of type 2 diabetes
Type 1 diabetes
Subjects with a diagnosis of type 1 diabetes
Diabetic kidney disease
Subjects with diabetic kidney disease (presence of albuminuria +/- eGFR<=60m/kg/m2) or history or presence of end stage renal disease

Primary Outcome Measures :
  1. Diabetic kidney disease [ Time Frame: 1-99 years ]

    Diabetic kidney disease will be defined as: eGFR <60 ml/min per 1.73 m2. +/- presence of elevated urine microalbumin

    Other hospital discharge diagnoses based on eGFR or ICD-9 codes or other equivalent will be used.

    Kidney failure/end stage renal disease (ESRD) will be defined by the presence of a dialysis code (procedure codes 39.95 or 54.98), a code of kidney transplant (procedure code 55.6 or diagnosis codes 996.81 or V42.0), or eGFR <15 ml/min per1.73 m2. The onset time will be defined as the period from baseline visit to the date of kidney failure onset or the censored date, whichever came first.

    The rate of decline in eGFR and % drop in eGFR, as well as changes in urine albuminuria will also be explored as additional clinical endpoints in diabetic kidney disease.

    Identification of genetic variants or other biomarkers associated with diabetic kidney disease by association analyses may utilize one or more of the clinical definitions of diabetic kidney disease.

  2. Cardiovascular complications in diabetes [ Time Frame: 1-99 years ]

    Cardiovascular complications in diabetes will be defined as coronary heart disease (CHD), stroke, and/or peripheral vascular disease (PVD), and/or congestive heart failure.

    Coronary Heart Disease is defined as myocardial infarction, ischemic heart disease, or cardiac revascularisation.

    Stroke is defined as ischemic stroke except transient ischemic attack, hemorrhagic stroke, or acute but ill-defined cerebrovascular disease

    Peripheral vascular disease is defined as amputation, gangrene, or peripheral revascularization.

    Hospitalization for heart failure is defined as hospitalization for congestive heart failure.

    Identification of genetic variants or other biomarkers associated with cardiovascular disease in diabetes may utilize one or more of the clinical definitions of cardiovascular complications in diabetes.

Secondary Outcome Measures :
  1. Diabetes progression [ Time Frame: 1-99 years ]

    Diabetes glycaemic progression will be defined as:

    1. progression to continuous insulin treatment (more than 6-months' duration), or
    2. failure of non-insulin diabetes treatment (two consecutive HbA1c ≥ target, more than 3-months apart during treatment with ≥2 non-insulin diabetes therapies.

    Identification of genetic variants or other biomarkers associated with diabetes progression may utilize one or more of the above definitions.

Biospecimen Retention:   Samples With DNA
The following biospecimens are collected: whole blood for extraction of DNA, serum, plasma

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Subjects with known diabetes undergoing routine diabetes complications assessment at one of the designated and participating diabetes centres in Hong Kong.

Inclusion Criteria:

  • subjects with known diabetes

Exclusion Criteria:

  • subjects not capable of giving written informed consent

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT05282680

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Contact: Ronalld C Ma, FRCP
Contact: Charmaine Lee

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Hong Kong
Prince of Wales Hospital Recruiting
Shatin, Hong Kong
Contact: Ronald C Ma, FRCP   
Contact: Charmaine Lee   
Sponsors and Collaborators
Chinese University of Hong Kong
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Principal Investigator: Ronald C Ma, FRCP Department of Medicine and Therapeutics, The Chinese University of Hong Kong
Additional Information:
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Responsible Party: Professor Ronald C.W. Ma, Professor, Chinese University of Hong Kong Identifier: NCT05282680    
Other Study ID Numbers: 2013.304
T12-402/13N ( Other Grant/Funding Number: RGC Theme-based Research Scheme )
First Posted: March 16, 2022    Key Record Dates
Last Update Posted: March 16, 2022
Last Verified: March 2022
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Professor Ronald C.W. Ma, Chinese University of Hong Kong:
precision medicine
Additional relevant MeSH terms:
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Diabetic Retinopathy
Kidney Diseases
Diabetic Nephropathies
Cardiovascular Diseases
Coronary Disease
Diabetic Angiopathies
Diabetes Mellitus
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases
Urologic Diseases
Female Urogenital Diseases
Female Urogenital Diseases and Pregnancy Complications
Urogenital Diseases
Male Urogenital Diseases
Heart Diseases
Retinal Diseases
Eye Diseases
Vascular Diseases
Diabetes Complications
Myocardial Ischemia