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Objective: To investigate the association between treatment-induced change in continuous glucose monitoring (CGM) time in range (TIR) and albuminuria in persons with type 1 diabetes (T1D) treated with sensor-augmented insulin pumps (SAP)., Research Design and Methods: Twenty-six out of 55 participants with albuminuria and multiple daily injection therapy (25% females; median 51 [interquartile range 46-63] years of age; glycated hemoglobin A 1c (HbA 1c ) 75 [68-88] mmol/mol [9.0% (8.4-10.4%)]; and urinary albumin-to-creatinine ratio (UACR) 89 [37-250] mg/g) were in a randomized controlled trial assigned to SAP therapy for 1 year. Anthropometrics, CGM data, and blood and urine samples were collected every 3 months., Results: Mean change (95% CI) in percentage of TIR (%TIR) was 13.2% (6.2; 20.2), in HbA 1c was -14.4 (-17.4; -10.5) mmol/mol (-1.3% [-1.6; -1.0]), and in UACR was -15% (-38; 17) (all P < 0.05). UACR decreased by 19% (10; 28) per 10% increase in %TIR ( P = 0.04), 18% (1; 30) per 10 mmol/mol decrease in HbA 1c ( P = 0.07), and 31% per 10-mmHg decrease in mean arterial pressure ( P < 0.001)., Conclusions: In this longitudinal study, treatment-induced increase in %TIR was significantly associated with decrease in albuminuria in T1D., (© 2020 by the American Diabetes Association.)

Context: The effect of glycemic control on persisting albuminuria remains unclear. Insulin delivery and glucose variability may be important., Objective: This study aimed to investigate the effect of 1-year treatment with sensor-augmented insulin pump (SAP) or multiple daily injections (MDIs) on albuminuria., Design, Patients, and Methods: This was a randomized controlled open-label parallel trial composed of 60 patients with type 1 diabetes with a history of albuminuria and on stable renin-angiotensin system inhibition, were randomly assigned to SAP or MDI. Urine albumin creatinine ratio (UACR) was measured in three urine samples at all visits. Glucose variability and glomerular filtration rate ((51)Cr-EDTA-GFR) were measured at beginning and study end. Using linear mixed model, change in UACR between groups was analyzed as intention to treat., Main Outcome Measure: Change in UACR was measured., Results: Fifty-five patients (SAP, n = 26; MDI, n = 29) completed the study. Diabetes duration (mean ± SD, 33 ± 12 y), UACR (geometric mean, 99 mg/g; interquartile range, 37-233 mg/g), (51)Cr-EDTA-GFR (94 ± 22 mL/min/1.73m(2)), glycosylated hemoglobin (HbA1c) (9.0 ± 1.1%), glucose variability (calculated as SD), 4.0 ± 1.0 mmol/l; no-group differences (P ≥ .06 for all). After 1 year, change in UACR was mean, -13%; 95% confidence interval, -39 to 22 with SAP vs mean, 30%; 95% CI, -12 to 92% on MDI treatment (unadjusted P = .051; adjusted for HbA1c, P = .04). HbA1c decreased 1.3 ± 1.0 vs 0.6 ± 1.0% (P = .013), glucose variability decreased 0.9 ± 1.1 vs 0.3 ± 1.0 mmol/L (P = .04), and (51)Cr-EDTA-GFR declined 5.6 ± 9.6 vs 3.4 ± 13 mL/min/1.73m(2) (P = .50) with SAP vs MDI treatment. There were no changes in blood pressure (P ≥ .27)., Conclusion: SAP treatment reduced UACR in a randomized controlled trial in type 1 diabetes patients with a history of albuminuria on stable renin-angiotensin system inhibition. Significance was reached after adjustment. SAP treatment reduced HbA1c and glucose variability (calculated as SD).

Background: Individual patients show a large variability in albuminuria response to angiotensin receptor blockers (ARB). Identifying novel biomarkers that predict ARB response may help tailor therapy. We aimed to discover and validate a serum metabolite classifier that predicts albuminuria response to ARBs in patients with diabetes mellitus and micro- or macroalbuminuria.Methods: Liquid chromatography-tandem mass spectrometry metabolomics was performed on serum samples. Data from patients with type 2 diabetes and microalbuminuria (n = 49) treated with irbesartan 300 mg/day were used for discovery. LASSO and ridge regression were performed to develop the classifier. Improvement in albuminuria response prediction was assessed by calculating differences in R(2) between a reference model of clinical parameters and a model with clinical parameters and the classifier. The classifier was externally validated in patients with type 1 diabetes and macroalbuminuria (n = 50) treated with losartan 100 mg/day. Molecular process analysis was performed to link metabolites to molecular mechanisms contributing to ARB response.Results: In discovery, median change in urinary albumin excretion (UAE) was -42 % [Q1-Q3: -69 to -8]. The classifier, consisting of 21 metabolites, was significantly associated with UAE response to irbesartan (p < 0.001) and improved prediction of UAE response on top of the clinical reference model (R(2) increase from 0.10 to 0.70; p < 0.001). In external validation, median change in UAE was -43 % [Q1-Q35: -63 to -23]. The classifier improved prediction of UAE response to losartan (R(2) increase from 0.20 to 0.59; p < 0.001). Specifically ADMA impacting eNOS activity appears to be a relevant factor in ARB response.Conclusions: A serum metabolite classifier was discovered and externally validated to significantly improve prediction of albuminuria response to ARBs in diabetes mellitus. [ABSTRACT FROM AUTHOR]

Aims: To investigate the relationship between arterial stiffness and insulin treatment mode [continuous subcutaneous insulin infusion (CSII) versus multiple daily injections (MDI)] in type 1 diabetes patients. Methods: Cross-sectional study, from 2009 to 2011, including 601 Caucasian type 1 diabetes patients, 58 and 543 treated with CSII and MDI, respectively. Arterial stiffness was measured as pulse wave velocity (PWV) (SphygmoCor, AtCor Medical). Adjustment included gender, age, diabetes duration, HbA, heart rate, mean arterial pressure, P-creatinine, urinary albumin excretion rate (UAER), smoking, total daily insulin dose, antihypertensive treatment, previous cardiovascular disease (CVD), total cholesterol and statin treatment. Albuminuria was UAER ≥30 mg/24-h, and CVD included myocardial infarction, revascularization, peripheral arterial disease and stroke. Results: CSII- versus MDI-treated patients were 48 versus 57 % men, 51 ± 11 versus 54 ± 13 years old (mean ± SD), had 33 ± 12 versus 32 ± 16 years diabetes duration and HbA 7.8 ± 0.9 % (62 ± 10 mmol/mol) versus 8.0 ± 1.2 % (64 ± 13 mmol/mol) ( P ≥ 0.08 for all). PWV was lower in CSII- versus MDI-treated patients (9.3 ± 2.8 vs. 10.4 ± 3.4 m/s; P = 0.016). In fully adjusted analysis, CSII treatment was significantly ( P = 0.038) associated with lower PWV, whereas HbA-level was not ( P = 0.93). Conclusions: In type 1 diabetes patients, CSII treatment was associated with lower arterial stiffness independent of other risk factors, while HbA was not. Although glucose variability was not assessed, our results suggest that glucose variability and not HbA-level affect arterial stiffness. This needs confirmation in randomised prospective studies. [ABSTRACT FROM AUTHOR]