NCT05282680

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.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
48,000

participants targeted

Target at P75+ for all trials

Timeline
458mo left

Started Feb 2014

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress25%
Feb 2014Dec 2063

Study Start

First participant enrolled

February 1, 2014

Completed
8.1 years until next milestone

First Submitted

Initial submission to the registry

February 28, 2022

Completed
16 days until next milestone

First Posted

Study publicly available on registry

March 16, 2022

Completed
7.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2029

Expected
34 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2063

Last Updated

March 12, 2026

Status Verified

March 1, 2026

Enrollment Period

15.8 years

First QC Date

February 28, 2022

Last Update Submit

March 11, 2026

Conditions

Keywords

geneticsgenomicsprecision medicinebiomarkersproteomicsepigenetics

Outcome Measures

Primary Outcomes (2)

  • Diabetic kidney disease

    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.

    1-99 years

  • Cardiovascular complications in diabetes

    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.

    1-99 years

Secondary Outcomes (1)

  • Diabetes progression

    1-99 years

Study Arms (3)

Type 2 diabetes

Subjects with a diagnosis of type 2 diabetes

Other: prospective observational study

Type 1 diabetes

Subjects with a diagnosis of type 1 diabetes

Other: prospective observational study

Diabetic kidney disease

Subjects with diabetic kidney disease (presence of albuminuria +/- eGFR\<=60m/kg/m2) or history or presence of end stage renal disease

Other: prospective observational study

Interventions

prospective observational study

Also known as: biomarker assessment
Diabetic kidney diseaseType 1 diabetesType 2 diabetes

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-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.

You may qualify if:

  • subjects with known diabetes

You may not qualify if:

  • subjects not capable of giving written informed consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Prince of Wales Hospital

Shatin, Hong Kong

Location

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

The following biospecimens are collected: whole blood for extraction of DNA, serum, plasma. Types of omics data currently being generated include genotyping data, metabolomic, proteins and other biomarker data

MeSH Terms

Conditions

Diabetes MellitusDiabetes Mellitus, Type 2Diabetes Mellitus, Type 1Diabetic NephropathiesDiabetic AngiopathiesCardiovascular DiseasesCoronary DiseaseDiabetic RetinopathyStroke

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System DiseasesKidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesDiabetes ComplicationsVascular DiseasesMyocardial IschemiaHeart DiseasesRetinal DiseasesEye DiseasesCerebrovascular DisordersBrain DiseasesCentral Nervous System DiseasesNervous System Diseases

Study Officials

  • Ronald C Ma, FRCP

    Department of Medicine and Therapeutics, The Chinese University of Hong Kong

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
99 Years
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

February 28, 2022

First Posted

March 16, 2022

Study Start

February 1, 2014

Primary Completion (Estimated)

December 1, 2029

Study Completion (Estimated)

December 1, 2063

Last Updated

March 12, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will not share

Locations