A randomized clinical trial of genetic testing and personalized risk counselling in patients with type 2 diabetes receiving integrated care -The genetic testing and patient empowerment (GEM) trial.

AIMS: We evaluated the effect of personalized risk counseling incorporating clinical and genetic risk factors on patient empowerment and risk factor control in diabetes. METHODS: Patients with type 2 diabetes (T2D) with suboptimal glycaemic control (HbA1c ≥ 7.5%) were randomized to a genetic counselling (GC) or control group. All patients underwent genetic testing for alleles at three loci associated with diabetic complications. The GC group received additional explanation of the joint associations of genetic and modifiable risk factors on risk of complications. All patients were reassessed at 12 months including validated questionnaires for patient reported outcomes. The primary outcome was proportion of patients reaching ≥ 3 of 5 predefined treatment targets (HbA1c < 7%, BP < 130/80 mmHg, LDL-C < 2.6 mmol/L, Triglyceride < 2.0 mmol/L, use of renin-angiotensin system inhibitors). Secondary outcomes included new-onset chronic kidney disease or microalbuminuria and patient reported outcome measures. RESULTS: A total of 435 patients were randomized and 420 patients were included in the modified intention-to-treat analysis. At 12 months, the proportion of patients who attained ≥ 3 targets increased from 41.6% to 52.3% in the GC group (p = 0.007) versus 49.5% to 62.6% in the control group (p = 0.003), without between-group difference. Both groups had similar reduction in HbA1c, LDL-C and increased use of medications. In per protocol analysis, the GC group had higher diabetes empowerment, with reduced diabetes distress. In the GC group, the greatest improvement in positive attitude and self-care activities was observed in the intermediate to high genetic risk score (GRS) groups. CONCLUSIONS: In patients with T2D receiving integrated care, additional counselling on genetic risk of complications did not further improve risk factor control, although the improvement in self-efficacy warrants long-term evaluation.

Association between FGF19, FGF21 and lipocalin-2, and diabetes progression in PCOS.

Women with polycystic ovary syndrome (PCOS) have an increased risk of developing type 2 diabetes. FGF19, FGF21 and lipocalin-2 have emerged as important markers of metabolic risk. This study aims to compare the levels of FGF19, FGF21 and lipocalin-2 between subjects with or without PCOS, and to investigate the relationship between proteins and diabetes progression. In this nested case-control cohort study, 128 Chinese PCOS women and 128 controls were recruited and followed-up. All subjects underwent the oral glucose tolerance test for the evaluation of glycaemic status. Baseline serum protein levels were measured using ELISA. Compared with controls, PCOS subjects had higher levels of FGF19 (P < 0.001) and FGF21 (P = 0.022), but had lower lipocalin-2 (P < 0.001). In total, 20.8% of PCOS and 9.2% of controls developed diabetes over a mean duration of 10.4 ± 1.2 and 11.3 ± 0.5 years, respectively. Logistic regression analyses suggested FGF19 was positively associated with diabetes progression in controls, after adjusting for age, follow-up duration, waist and fasting glucose (P = 0.026, odds ratio (OR) (95% CI): 7.4 (1.3-43.6)), and the positive relationship between FGF21 and diabetes progression in controls was attenuated by adjusting for age and follow-up duration (P = 0.183). Lipocalin-2 was positively correlated with diabetes progression in PCOS group (P = 0.026, OR (95% CI)): 2.5 (1.1-5.6)); however, this became attenuated after adjusting for waist and fasting glucose (P = 0.081). In conclusion, there is differential expression of FGF19, FGF21, and lipocalin-2 in PCOS. The serum level of FGF19, and FGF21 is associated with diabetes progression in women without PCOS, while lipocalin-2 was related to diabetes progression in PCOS women.

Progression of diabetic kidney disease and trajectory of kidney function decline in Chinese patients with Type 2 diabetes.

Diabetes is a major cause of end stage renal disease (ESRD), yet the natural history of diabetic kidney disease is not well understood. We aimed to identify patterns of estimated GFR (eGFR) trajectory and to determine the clinical and genetic factors and their associations of these different patterns with all-cause mortality in patients with type 2 diabetes. Among 6330 patients with baseline eGFR >60 ml/min per 1.73 m2 in the Hong Kong Diabetes Register, a total of 456 patients (7.2%) developed Stage 5 chronic kidney disease or ESRD over a median follow-up of 13 years (incidence rate 5.6 per 1000 person-years). Joint latent class modeling was used to identify different patterns of eGFR trajectory. Four distinct and non-linear trajectories of eGFR were identified: slow decline (84.3% of patients), curvilinear decline (6.5%), progressive decline (6.1%) and accelerated decline (3.1%). Microalbuminuria and retinopathy were associated with accelerated eGFR decline, which was itself associated with all-cause mortality (odds ratio [OR] 6.9; 95% confidence interval [CI]: 5.6-8.4 for comparison with slow eGFR decline). Of 68 candidate genetic loci evaluated, the inclusion of five loci (rs11803049, rs911119, rs1933182, rs11123170, and rs889472) improved the prediction of eGFR trajectories (net reclassification improvement 0.232; 95% CI: 0.057--0.406). Our study highlights substantial heterogeneity in the patterns of eGFR decline among patients with diabetic kidney disease, and identifies associated clinical and genetic factors that may help to identify those who are more likely to experience an accelerated decline in kidney function.