ArticlePLoS medicine2020
Obesity, clinical, and genetic predictors for glycemic progression in Chinese patients with type 2 diabetes: A cohort study using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank.
Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 49 citations in OpenAlex.
- Precision Medicine to Redefine Insulin Secretion and Monogenic Diabetes-Randomized Controlled Trial (PRISM-RCT) in Chinese patients with young-onset diabetes: design, methods and baseline characteristics.BMJ open diabetes research & care · 2024Trial
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- Cost-Effectiveness of NT-proBNP-Guided Cardiovascular Screening in Chinese Adults With Type 2 Diabetes: Real-World Evidence From the Hong Kong Diabetes Biobank.Diabetes, obesity & metabolism · 2026Article
- Redefining Diabetes and Creating Solutions-The Hong Kong Diabetes Register: Kelly West Award Lecture 2025.Diabetes care · 2026Article
- Neuroticism is associated with future disease and mortality risks.Chinese medical journal · 2025Article
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- An Artificial Intelligence-Based Fuzzy Logic System for Periodontitis Risk Assessment in Patients with Type 2 Diabetes Mellitus.Bioengineering (Basel, Switzerland) · 2025Article
- A polygenic risk score derived from common variants of monogenic diabetes genes is associated with young-onset type 2 diabetes and cardiovascular-kidney complications.Diabetologia · 2025Article
- NT-proBNP improves prediction of cardiorenal complications in type 2 diabetes: the Hong Kong Diabetes Biobank.Diabetologia · 2025Article
- Paternal contributions to telomere reprogramming in fetal development.International journal of biochemistry and molecular biology · 2025Article
- Review
- An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study.Diabetologia · 2024Article
- Young-Onset Diabetes in East Asians: From Epidemiology to Precision Medicine.Endocrinology and metabolism (Seoul, Korea) · 2024Review
- Lessons and Applications of Omics Research in Diabetes Epidemiology.Current diabetes reports · 2024Review
- Recent advances in polygenic scores: translation, equitability, methods and FAIR tools.Genome medicine · 2024Review
- Identification of biomarkers for glycaemic deterioration in type 2 diabetes.Nature communications · 2023Article
- Genetic predictors of lifelong medication-use patterns in cardiometabolic diseases.Nature medicine · 2023Article
- Associations of the HOMA2-%B and HOMA2-IR with progression to diabetes and glycaemic deterioration in young and middle-aged Chinese.Diabetes/metabolism research and reviews · 2022Article
- Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations.Nature reviews. Endocrinology · 2022Review
- Article
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30 authors at 10 institutions in 3 countries.
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Abstract
backgroundType 2 diabetes (T2D) is a progressive disease whereby there is often deterioration in glucose control despite escalation in treatment. There is significant heterogeneity to this progression of glycemia after onset of diabetes, yet the factors that influence glycemic progression are not well understood. Given the tremendous burden of diabetes in the Chinese population, and limited knowledge on factors that influence glycemia, we aim to identify the clinical and genetic predictors for glycemic progression in Chinese patients with T2D. METHODS AND
findingsIn 1995-2007, 7,091 insulin-naïve Chinese patients (mean age 56.8 ± 13.3 [SD] years; mean age of T2D onset 51.1 ± 12.7 years; 47% men; 28.4% current or ex-smokers; median duration of diabetes 4 [IQR: 1-9] years; mean HbA1c 7.4% ± 1.7%; mean body mass index [BMI] 25.3 ± 4.0 kg/m2) were followed prospectively in the Hong Kong Diabetes Register. We examined associations of BMI and other clinical and genetic factors with glycemic progression defined as requirement of continuous insulin treatment, or 2 consecutive HbA1c ≥8.5% while on ≥2 oral glucose-lowering drugs (OGLDs), with validation in another multicenter cohort of Hong Kong Diabetes Biobank. During a median follow-up period of 8.8 (IQR: 4.8-13.3) years, incidence of glycemic progression was 48.0 (95% confidence interval [CI] 46.3-49.8) per 1,000 person-years with 2,519 patients started on insulin. Among the latter, 33.2% had a lag period of 1.3 years before insulin was initiated. Risk of progression was associated with extremes of BMI and high HbA1c. On multivariate Cox analysis, early age at diagnosis, microvascular complications, high triglyceride levels, and tobacco use were additional independent predictors for glycemic progression. A polygenic risk score (PRS) including 123 known risk variants for T2D also predicted rapid progression to insulin therapy (hazard ratio [HR]: 1.07 [95% CI 1.03-1.12] per SD; P = 0.001), with validation in the replication cohort (HR: 1.24 [95% CI 1.06-1.46] per SD; P = 0.008). A PRS using 63 BMI-related variants predicted BMI (beta [SE] = 0.312 [0.057] per SD; P = 5.84 × 10-8) but not glycemic progression (HR: 1.01 [95% CI 0.96-1.05] per SD; P = 0.747). Limitations of this study include potential misdiagnosis of T2D and lack of detailed data of drug use during follow-up in the replication cohort.
conclusionsOur results show that approximately 5% of patients with T2D failed OGLDs annually in this clinic-based cohort. The independent associations of modifiable and genetic risk factors allow more precise identification of high-risk patients for early intensive control of multiple risk factors to prevent glycemic progression.
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