Winnie Lau

expression. Potential compensatory processes included upregulation of the integrated stress response pathway and downregulation of proapoptotic gene expression in erythroid progenitors, thus providing a template of how large-scale single-cell transcriptomic studies can bridge between molecular phenotypes and quantitative population changes.

OBJECTIVE: Type 2 diabetes is the leading cause of end-stage renal disease worldwide. Aside from hyperglycemia and hypertension, other metabolic factors may determine renal outcome. We examined risk associations of metabolic syndrome with new onset of chronic kidney disease (CKD) in 5,829 Chinese patients with type 2 diabetes enrolled between 1995 and 2005. RESEARCH DESIGN AND METHODS: Metabolic syndrome was defined by National Cholesterol Education Program Adult Treatment Panel III criteria with the Asian definition of obesity. Estimated glomerular filtration rate (eGFR) was calculated using the abbreviated Modification of Diet in Renal Disease formula modified for the Chinese population. New onset of CKD was defined as eGFR <60 ml/min per 1.73 m(2) at the time of censor. Subjects with CKD at baseline were excluded from the analysis. RESULTS: After a median follow-up duration of 4.6 years (interquartile range: 1.9-7.3 years), 741 patients developed CKD. The multivariable-adjusted hazard ratio (HR) of CKD was 1.31 (95% CI 1.12-1.54, P = 0.001) for subjects with metabolic syndrome compared with those without metabolic syndrome. Relative to subjects with no other components of metabolic syndrome except for diabetes, those with two, three, four, and five metabolic syndrome components had HRs of an increased risk of CKD of 1.15 (0.83-1.60, P = 0.407) 1.32 (0.94-1.86, P = 0.112), 1.64 (1.17-2.32, P = 0.004), and 2.34 (1.54-3.54, P < 0.001), respectively. The metabolic syndrome traits of central obesity, hypertriglyceridemia, hypertension, and low BMI were independent predictors for CKD. CONCLUSIONS: The presence of metabolic syndrome independently predicts the development of CKD in subjects with type 2 diabetes.

BACKGROUND: In type 2 diabetes, tight glycaemic control lowers the risk of diabetic complications, but it remains uncertain whether variability of glycaemia influences outcomes. We examined the association of glycated haemoglobin (HbA1c ) variability with incident chronic kidney disease and cardiovascular disease in a prospective cohort of 8439 Chinese patients with type 2 diabetes recruited from 1994 to 2007. METHODS: Intrapersonal mean and SD of serially measured HbA1c were calculated. Chronic kidney disease was defined as estimated glomerular filtration rate <60 ml/min per 1.73 m². Cardiovascular disease was defined as events of ischemic heart disease, heart failure, ischemic stroke or peripheral vascular disease. RESULTS: Over a median follow-up period of 7.2 years, 19.7 and 10.0% of patients developed chronic kidney disease and cardiovascular disease, respectively. Patients who progressed to chronic kidney disease had higher mean HbA1c (7.8 ± 1.3% vs 7.4 ± 1.2%, p < 0.001) and SD (1.0 ± 0.8% vs 0.8 ± 0.6%, p < 0.001) than nonprogressors. Similarly, patients who developed cardiovascular disease had higher mean HbA1c (7.7 ± 1.3% vs 7.4 ± 1.2%, p < 0.001) and SD (1.4 ± 1.1% vs 1.1 ± 0.8%, p < 0.001) than patients who did not develop cardiovascular disease. By using multivariate-adjusted Cox regression analysis, adjusted SD was associated with incident chronic kidney disease and cardiovascular disease with corresponding hazard ratios of 1.16 (95% CI 1.11-1.22), p < 0.001) and 1.27 (95% CI 1.15-1.40, p < 0.001), independent of mean HbA1c and other confounding variables. CONCLUSIONS: Long-term glycaemic variability expressed by SD of HbA1c predicted development of renal and cardiovascular complications.