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  • 1
    In: Diabetes, American Diabetes Association, Vol. 67, No. 7 ( 2018-07-01), p. 1414-1427
    Abstract: Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10−8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
    detail.hit.zdb_id: 1501252-9
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  • 2
    In: Diabetes, American Diabetes Association, Vol. 71, No. 3 ( 2022-03-01), p. 520-529
    Abstract: We aim to assess the long-term impact of acute kidney injury (AKI) on progression of diabetic kidney disease (DKD) and all-cause mortality and investigate determinants of AKI in Chinese patients with type 2 diabetes (T2D). A consecutive cohort of 9,096 Chinese patients with T2D from the Hong Kong Diabetes Register was followed for 12 years (mean ± SD age 57 ± 13.2 years; 46.9% men; median duration of diabetes 5 years). AKI was defined based on the Kidney Disease: Improving Global Outcomes (KDIGO) criteria using serum creatinine. Estimated glomerular filtration rate measurements were used to identify the first episode with chronic kidney disease (CKD) and end-stage renal disease (ESRD). Polygenic risk score (PRS) composed of 27 single nucleotide polymorphisms (SNPs) known to be associated with serum uric acid (SUA) in European populations was used to examine the role of SUA in pathogenesis of AKI, CKD, and ESRD. Validation was sought in an independent cohort including 6,007 patients (age 61.2 ± 10.9 years; 59.5% men; median duration of diabetes 10 years). Patients with AKI had a higher risk for developing incident CKD (hazard ratio 14.3 [95% CI 12.69–16.11]), for developing ESRD (12.1 [10.74–13.62] ), and for all-cause death (7.99 [7.31–8.74]) compared with those without AKI. Incidence rate for ESRD among patients with no episodes of AKI and one, two, and three or more episodes of AKI was 7.1, 24.4, 32.4, and 37.3 per 1,000 person-years, respectively. Baseline SUA was a strong independent predictor for AKI. A PRS composed of 27 SUA-related SNPs was associated with AKI and CKD in both discovery and replication cohorts but not ESRD. Elevated SUA may increase the risk of DKD through increasing AKI. The identification of SUA as a modifiable risk factor and PRS as a nonmodifiable risk factor may facilitate the identification of individuals at high risk to prevent AKI and its long-term impact in T2D.
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
    detail.hit.zdb_id: 1501252-9
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  • 3
    In: Diabetes Care, American Diabetes Association, Vol. 45, No. 3 ( 2022-03-01), p. 701-709
    Abstract: Several studies support associations between relative leukocyte telomere length (rLTL), a biomarker of biological aging and type 2 diabetes. This study investigates the relationship between rLTL and the risk of glycemic progression in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS In this cohort study, consecutive Chinese patients with type 2 diabetes (N = 5,506) from the Hong Kong Diabetes Register with stored baseline DNA and available follow-up data were studied. rLTL was measured using quantitative PCR. Glycemic progression was defined as the new need for exogenous insulin. RESULTS The mean (SD) age of the 5,349 subjects was 57.0 (13.3) years, and mean (SD) follow-up was 8.8 (5.4) years. Baseline rLTL was significantly shorter in the 1,803 subjects who progressed to insulin requirement compared with the remaining subjects (4.43 ± 1.16 vs. 4.69 ± 1.20). Shorter rLTL was associated with a higher risk of glycemic progression (hazard ratio [95% CI] for each unit decrease [to ∼0.2 kilobases] : 1.10 [1.06–1.14]), which remained significant after adjusting for confounders. Baseline rLTL was independently associated with glycemic exposure during follow-up (β = −0.05 [−0.06 to −0.04] ). Each 1-kilobase decrease in absolute LTL was on average associated with a 1.69-fold higher risk of diabetes progression (95% CI 1.35–2.11). Two-sample Mendelian randomization analysis showed per 1-unit genetically decreased rLTL was associated with a 1.38-fold higher risk of diabetes progression (95% CI 1.12–1.70). CONCLUSIONS Shorter rLTL was significantly associated with an increased risk of glycemic progression in individuals with type 2 diabetes, independent of established risk factors. Telomere length may be a useful biomarker for glycemic progression in people with type 2 diabetes.
    Type of Medium: Online Resource
    ISSN: 0149-5992
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
    detail.hit.zdb_id: 1490520-6
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  • 4
    In: Diabetes Care, American Diabetes Association, Vol. 43, No. 9 ( 2020-09-01), p. 2257-2265
    Abstract: Several studies support potential links between relative leukocyte telomere length (rLTL), a biomarker of biological aging, and type 2 diabetes. This study investigates relationships between rLTL and incident cardiovascular disease (CVD) in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Consecutive Chinese patients with type 2 diabetes (N = 5,349) from the Hong Kong Diabetes Register for whom DNA obtained at baseline was stored and follow-up data were available were studied. rLTL was measured by using quantitative PCR. CVD was diagnosed on the basis of ICD-9 code. RESULTS Mean follow-up was 13.4 years (SD 5.5 years). rLTL was correlated inversely with age, diabetes duration, blood pressure, HbA1c, and urine albumin-to-creatinine ratio (ACR), and positively with estimated glomerular filtration rate (eGFR) (all P & lt; 0.001). Subjects with CVD at baseline had a shorter rLTL (4.3 ± 1.2 ΔΔCt) than did subjects without CVD (4.6 ± 1.2 ΔΔCt) (P & lt; 0.001). Of the 4,541 CVD-free subjects at baseline, the 1,140 who developed CVD during follow-up had a shorter rLTL (4.3 ± 1.2 ΔΔCt) than those who remained CVD-free after adjusting for age, sex, smoking, and albuminuria status (4.7 ± 1.2 ΔΔCt) (P & lt; 0.001). In Cox regression models, shorter rLTL was associated with higher risk of incident CVD (for each unit decrease, hazard ratio 1.252 [95% CI 1.195–1.311], P & lt; 0.001), which remained significant after adjusting for age, sex, BMI, systolic blood pressure, LDL cholesterol, HbA1c, eGFR, and ACR (hazard ratio 1.141 [95% CI 1.084–1.200], P & lt; 0.001). CONCLUSIONS rLTL is significantly shorter in patients with type 2 diabetes and CVD, is associated with cardiometabolic risk factors, and is independently associated with incident CVD. Telomere length may be a useful biomarker for CVD risk in patients with type 2 diabetes.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2020
    detail.hit.zdb_id: 1490520-6
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  • 5
    In: Diabetes, American Diabetes Association, Vol. 73, No. Supplement_1 ( 2024-06-14)
    Abstract: Introduction & Objectives: Monogenic diabetes are caused by rare mutations in genes usually implicated in β-cell reserve/function. Whether their common variants could jointly influence risk of YOD diagnosed before 40 years and CV-kidney events is underexplored. We hypothesized a positive association of a weighted PRS derived from common variants of MDG with these outcomes. Methods: We constructed three weighted PRS with common variants (minor allele frequency & gt;0.01) of 34 MDG based on three r2 thresholds (0.2, 0.4, 0.6) of linkage disequilibrium (LD), from a discovery cohort of adults with [n=453, median age (interquartile range) = 40.0 (35.0-47.0)] and without [n=405, age=56.7 (50.3-61.0)] YOD who had whole exome sequencing data followed by validation in an independent cohort with array-based genotyping. We further tested association of the best performer with incident CV-kidney events in a cohort of type 2 diabetes (T2D). Results: 135 single nucleotide polymorphisms were used to construct the PRS based on LD r2 threshold 0.2 which performed the best at validation in an independent cohort (920 YOD + 4909 non-YOD) where per standard deviation (SD) rise in PRS was associated with 8% increased risk of YOD after adjusting sex and BMI (OR 1.08, p=0.047). In an independent cohort of T2D free of CV-kidney events at baseline [n=2313, age = 53.4 (45.4-61.7), disease duration = 4.0 (1.0-9.0)], per SD rise in PRS was associated with 16%, 9% and 10% increased risk of incident CV (HR 1.16, p & lt;0.001), kidney (HR 1.09, p=0.011) and CV-kidney events (HR 1.10, p=0.003) respectively after adjusting sex, baseline age and metabolic control. Those at top 20% PRS and baseline diabetes duration (DD) 5 to & lt;10 years had higher hazards of incident CV-kidney events than those at bottom 20% PRS and DD ≥10 years (HR 1.66, p=0.019) by direct comparison. Conclusion: Common variants of MDG jointly affected the risk of YOD and CV-kidney complications. Disclosure C. O: Other Relationship; Novo Nordisk. B. Fan: None. S.T.F. Tsoi: None. C.H. Tam: None. R. Wan: None. E.S.H. Lau: None. M. Shi: None. C.K.P. Lim: None. E. Chow: Research Support; Merck KGaA. Speaker's Bureau; AstraZeneca. Advisory Panel; Boehringer-Ingelheim. Research Support; Medtronic. Speaker's Bureau; Zuellig Pharma Holdings Pte. Ltd., Abbott. A.P. Kong: Speaker's Bureau; Abbott. Advisory Panel; Merck Sharp & Dohme Corp. Speaker's Bureau; Boehringer-Ingelheim, Bayer Inc., AstraZeneca. Other Relationship; Dexcom, Inc. Speaker's Bureau; Eli Lilly and Company, Novo Nordisk, Sanofi. Advisory Panel; Kyowa Kirin Co., Ltd., Abbott. R.C. Ma: Advisory Panel; AstraZeneca. Other Relationship; Bayer Inc., Boehringer-Ingelheim. Advisory Panel; Merck & Co., Inc. Other Relationship; Roche Diagnostics, Novo Nordisk. Advisory Panel; Takeda Pharmaceutical Company Limited. Other Relationship; GemVCare Ltd. A. Luk: Research Support; Novo Nordisk, Amgen Inc., Merck Sharp & Dohme Corp., Roche Pharmaceuticals, Biogen, Boehringer-Ingelheim, Shanghai Junshi Biosciences CO.Ltd. J.C. Chan: Research Support; AstraZeneca, Hua Medicine. Consultant; Sanofi. Research Support; Servier Laboratories. Consultant; Viatris Inc. Research Support; Merck & Co., Inc. Stock/Shareholder; GemVCare Ltd. Board Member; Asia Diabetes Foundation. Speaker's Bureau; Zuellig Pharma Holdings Pte. Ltd. Advisory Panel; Bayer Inc. Speaker's Bureau; Boehringer-Ingelheim. Funding Health and Medical Research Fund, Health Bureau, the HKSAR Government (CFS-CUHK2); Research Impact Fund, the Research Grants Council Hong Kong (R4012-18); Hong Kong Genome Institute
    Type of Medium: Online Resource
    ISSN: 0012-1797
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2024
    detail.hit.zdb_id: 1501252-9
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