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Background: Inhibition of the Na+/glucose co-transporter 2 is a new therapeutic strategy for diabetes. It is unclear how proximal loss of Na+ (and glucose) affects the subsequent Na+ transporters in the proximal tubule (PT), thick ascending limb of loop of Henle (TAL), distal convoluted tubule (DCT) and collecting duct (CD). Methods: Mice on a high fat diet were administered 3 doses streptozotocin 6 days prior to oral dapagliflozin administration or vehicle for 18 days. A control group of lean mice were also included. Body weight and glucose were recorded at regular intervals during treatment. Renal Na+ transporters expression in nephron segments were analyzed by RT-qPCR and Western blot. Results: Dapagliflozin treatment resulted in a significant reduction in body weight and blood glucose compared to vehicle-treated controls. mRNA results showed that Na+-hydrogen antiporter 3 (NHE3), Na+/phosphate cotransporter (NaPi-2a) and epithelial Na+ channel expression was increased, Ncx1, ENaCβ and ENaCγ expression declined (p all < 0.05), respectively, in dapagliflozin-treated mice when compared with saline vehicle mice. Na-K-2Cl cotransporters and Na-Cl cotransporter mRNA expression was not affected by dapagliflozin treatment. Na+/K+-ATPase (Atp1b1) expression was also increased significantly by dapagliflozin treatment, but it did not affect Atp1a1 and glucose transporter 2 expression. Western blot analysis showed that NaPi-2a, NHE3 and ATP1b1 expression was upregulated in dapagliflozin-treated diabetic mice when compared with saline vehicle mice (p < 0.05). Conclusion: Our findings suggest that dapagliflozin treatment augments compensatory changes in the renal PT in diabetic mice.

IntroductionVarious studies have shown a number of glycemic parameters to improve over several weeks in people with type 1 diabetes during the first surge of the COVID-19 pandemic. Whether and to what extent such improvement is sustained during following COVID-19 surges remains unknown. Therefore, the aim of this study was to investigate glycemic parameters during the first year of the COVID-19 pandemic in people with type 1 diabetes and to determine factors associated with glycemic improvement.Research design and methodsThis was an observational cohort study in people with type 1 diabetes, aged ≥16 years. We compared glycated hemoglobin (HbA1c) and flash glucose monitoring (FGM) downloads between the prelockdown period and approximately 1 year thereafter. Using logistic regression analysis, we assessed associations between an HbA1c reduction of at least 0.5% (~5.5 mmol/mol) with baseline clinical characteristics and self-reported changes in psychological well-being and lifestyle behavior related to COVID-19.ResultsA total of 437 participants were included. As compared with prepandemic data, 1 year after the start of the COVID-19 pandemic and associated lockdowns, HbA1c had decreased from 7.9%±1.1% (63±12 mmol/mol) to 7.5%±1.0% (59±11 mmol/mol) (p13.9 mmol/L) range and glucose variability all decreased (all p1c at baseline and current smoking were independently associated with an HbA1c decrease of at least 0.5%, whereas self-reported changes in psychological well-being and lifestyle behavior related to the first surge of the COVID-19 pandemic and associated lockdowns were not.ConclusionsThe COVID-19 pandemic and related lockdown measures were associated with improvement in glucometrics, including HbA1c and FGM data, in individuals with type 1 diabetes, particularly in FGM users, those with higher HbA1c at baseline or current smokers.

Item does not contain fulltext AIM: To summarize and critically appraise the recent qualitative evidence regarding the impact of hypoglycaemia on the quality of life of family members of adults with type 1 or type 2 diabetes. METHODS: Four databases were searched systematically (MEDLINE, PsycINFO, CINAHL and Cochrane Library), and results were screened for eligibility. Article quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research. Data were extracted, coded and analysed using thematic analysis. The systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Enhancing transparency in reporting of qualitative research (ENTREQ) guidelines. RESULTS: Eight qualitative studies were included in the final review. The majority of participants were partners or spouses of adults with type 1 diabetes. Thematic synthesis resulted in six analytical themes: 'Hypoglycaemia alters everyday life, reducing freedoms and increasing disruptions', 'Hypoglycaemia has an adverse impact on sleep', 'Hypoglycaemia negatively changes the relationship with the person with diabetes', 'Hypoglycaemia negatively impacts emotional well-being', 'The detection, prevention, and treatment of hypoglycaemia consumes time and energy' and 'Family members have unmet needs for informational and emotional support regarding hypoglycaemia'. Across the six analytical themes, family members described how hypoglycaemia has a severe negative impact on different aspects of their lives, including daily living, personal relationships and emotional well-being. CONCLUSIONS: Family members experience the impact of hypoglycaemia as a major recurrent challenge in their lives. The unmet needs of family members need further attention in research and clinical practice.

Background Closed-loop insulin delivery systems, which integrate continuous glucose monitoring (CGM) and algorithms that continuously guide insulin dosing, have been shown to improve glycaemic control. The ability to predict future glucose values can further optimize such devices. In this study, we used machine learning to train models in predicting future glucose levels based on prior CGM and accelerometry data. Methods We used data from The Maastricht Study, an observational population‐based cohort that comprises individuals with normal glucose metabolism, prediabetes, or type 2 diabetes. We included individuals who underwent >48h of CGM (n = 851), most of whom (n = 540) simultaneously wore an accelerometer to assess physical activity. A random subset of individuals was used to train models in predicting glucose levels at 15- and 60-minute intervals based on either CGM data or both CGM and accelerometer data. In the remaining individuals, model performance was evaluated with root-mean-square error (RMSE), Spearman’s correlation coefficient (rho) and surveillance error grid. For a proof-of-concept translation, CGM-based prediction models were optimized and validated with the use of data from individuals with type 1 diabetes (OhioT1DM Dataset, n = 6). Results Models trained with CGM data were able to accurately predict glucose values at 15 (RMSE: 0.19mmol/L; rho: 0.96) and 60 minutes (RMSE: 0.59mmol/L, rho: 0.72). Model performance was comparable in individuals with type 2 diabetes. Incorporation of accelerometer data only slightly improved prediction. The error grid results indicated that model predictions were clinically safe (15 min: >99%, 60 min >98%). Our prediction models translated well to individuals with type 1 diabetes, which is reflected by high accuracy (RMSEs for 15 and 60 minutes of 0.43 and 1.73 mmol/L, respectively) and clinical safety (15 min: >99%, 60 min: >91%). Conclusions Machine learning-based models are able to accurately and safely predict glucose values at 15- and 60-minute intervals based on CGM data only. Future research should further optimize the models for implementation in closed-loop insulin delivery systems.

Contains fulltext : 235355.pdf (Publisher’s version ) (Closed access) Hypoglycaemia is a common barrier to optimal glycaemic management and often feared among adults with type 1 diabetes. The aim of this systematic review was to summarize current evidence regarding the impact of hypoglycaemia on quality of life (QoL) and related outcomes. Electronic searches of MEDLINE, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were conducted. Peer-reviewed empirical studies investigating the relationship between hypoglycaemia and QoL were eligible for inclusion. Thirty studies met the inclusion criteria. Extracted data was summarized in a narrative synthesis according to Synthesis Without Meta-Analysis guidelines. None of the studies examined the impact of hypoglycaemia on general QoL. There was no association between hypoglycaemia and diabetes-specific QoL in four of the 30 studies. Severe hypoglycaemia was associated with greater fear of hypoglycaemia and diabetes distress, and lower general emotional well-being, but not with depression, anxiety, or health status. Self-treated hypoglycaemia was associated with greater fear of hypoglycaemia. With the exception of fear of hypoglycaemia, this review shows mixed associations between hypoglycaemia and psychological outcomes. Further research is needed to investigate the impact of hypoglycaemia on other domains of QoL.

Contains fulltext : 237990.pdf (Publisher’s version ) (Open Access) AIM: Impaired awareness of hypoglycaemia (IAH) affects about 25% of patients with type 1 diabetes (T1DM). IAH can be reversed by strict avoidance of hypoglycaemia for at least 3 weeks. Adjunctive treatment with sodium glucose cotransporter 2 inhibitors may reduce the risk of hypoglycaemia through reduction of glucose variability. We tested the hypothesis that short-term use of dapagliflozin may improve awareness of hypoglycaemia in people with T1DM and IAH. MATERIALS AND METHODS: Fifteen patients with T1DM and IAH were included in this randomized double-blind, placebo-controlled cross-over trial (age 49.7 ± 14.6 years, 40% men, disease duration 24.1 ± 14.2 years, glycated haemoglobin 7.5 ± 0.8% (58.6 ± 8.4 mmol/mol). They were treated with dapagliflozin 10 mg once daily or matching placebo, with a washout period of 2 weeks. At the end of each treatment period, participants underwent a modified hyperinsulinaemic normoglycaemic-hypoglycaemic glucose clamp (glucose nadir 2.5 mmol/L). Blinded continuous glucose monitors were used in the final treatment weeks. RESULTS: Treatment with dapagliflozin significantly improved glycated haemoglobin [-0.32 ± 0.10 vs. 0.22 ± 0.13% (-4.1 ± 0.9 vs. 2.3 ± 1.4 mmol/mol), dapagliflozin vs. placebo, p = .007] and glucose variability (standard deviation, 2.6 ± 0.2 vs. 3.1 ± 0.3 mmol/L, p = .029), but did not affect the frequency of hypoglycaemia. During the hypoglycaemic clamp, dapagliflozin did not affect symptom responses (8.0 ± 3.4 vs. 5.2 ± 1.6, p = .31), but significantly reduced the need for exogenous glucose to maintain hypoglycaemia (3.2 ± 0.3 vs. 4.1 ± 0.4 mg/kg/min, p = .022). CONCLUSIONS: Eight weeks of treatment with dapagliflozin did not restore hypoglycaemic awareness in people with T1DM and impaired awareness of hypoglycaemia, but ameliorated some clinical aspects.

IntroductionHypoglycaemia is a frequent adverse event and major barrier for achieving optimal blood glucose levels in people with type 1 or type 2 diabetes using insulin. The Hypo-RESOLVE (Hypoglycaemia—Redefining SOLutions for better liVEs) consortium aims to further our understanding of the day-to-day impact of hypoglycaemia. The Hypo-METRICS (Hypoglycaemia—MEasurement, ThResholds and ImpaCtS) application (app) is a novel app for smartphones. This app is developed as part of the Hypo-RESOLVE project, using ecological momentary assessment methods that will minimise recall bias and allow for robust investigation of the day-to-day impact of hypoglycaemia. In this paper, the development and planned psychometric analyses of the app are described.Methods and analysisThe three phases of development of the Hypo-METRICS app are: (1) establish a working group—comprising diabetologists, psychologists and people with diabetes—to define the problem and identify relevant areas of daily functioning; (2) develop app items, with user-testing, and implement into the app platform; and (3) plan a large-scale, multicountry study including interviews with users and psychometric validation. The app includes 7 modules (29 unique items) assessing: self-report of hypoglycaemic episodes (during the day and night, respectively), sleep quality, well-being/cognitive function, social interactions, fear of hypoglycaemia/hyperglycaemia and work/productivity. The app is designed for use within three fixed time intervals per day (morning, afternoon and evening). The first version was released mid-2020 for use (in conjunction with continuous glucose monitoring and activity tracking) in the Hypo-METRICS study; an international observational longitudinal study. As part of this study, semistructured user-experience interviews and psychometric analyses will be conducted.Ethics and disseminationUse of the novel Hypo-METRICS app in a multicountry clinical study has received ethical approval in each of the five countries involved (Oxford B Research Ethics Committee, CMO Region Arnhem-Nijmegen, Ethikkommission der Medizinischen Universität Graz, Videnskabsetisk Komite for Region Hovedstaden and the Comite Die Protection Des Personnes SUD Mediterranne IV). The results from the study will be published in peer review journals and presented at national and international conferences.Trial registration numberNCT04304963.

ObjectivePeople with type 2 diabetes on insulin are at risk for hypoglycemia. Recurrent hypoglycemia can cause impaired awareness of hypoglycemia (IAH), and increase the risk for severe hypoglycemia. The aim of this study was to assess the prevalence and determinants of self-reported IAH and severe hypoglycemia in a Dutch nationwide cohort of people with insulin-treated type 2 diabetes.Research design and methodsObservational study of The Dutch Diabetes Pearl, a cohort of people with type 2 diabetes treated in primary, secondary and tertiary diabetes care centers. The presence of IAH and the occurrence of severe hypoglycemia in the past year, defined as an event requiring external help to recover, were assessed using the validated Dutch version of the Clarke questionnaire. In addition, clinical variables were collected including age, diabetes duration, hemoglobin A1c, ethnicity and education.Results2350 people with type 2 diabetes on insulin were included: 59.1% men, mean age 61.1±10.4 years, mean diabetes duration 14.8±9.2 years and 79.5% on basal-bolus therapy. A total of 229 patients (9.7%) were classified as having IAH and 742 patients (31.6%) reported severe hypoglycemia. Increased odds for IAH were found with complex insulin regimens and lower odds with having a partner and body mass index ≥30 kg/m2. Severe hypoglycemia was associated with complex insulin regimens, non-Caucasian ethnicity and use of psychoactive drugs, and inversely with metformin use.ConclusionsIn this nationwide cohort, almost one out of ten people with type 2 diabetes on insulin had IAH and >30% had a history of severe hypoglycemia in the past year.

Aim To investigate whether a history of severe hypoglycaemia (SH) or the associated presence of impaired awareness of hypoglycaemia (IAH) is characterized by a pro‐inflammatory profile in people with type 1 diabetes. Research design and methods We measured circulating inflammatory markers and pro‐ and anti‐inflammatory cytokine production after ex vivo stimulation of peripheral blood mononuclear cells (PBMCs) in a well‐characterized cohort of individuals with type 1 diabetes (n = 239) and in people without diabetes (n = 56). Data were corrected for confounders by using multivariate linear regression models. Results People with type 1 diabetes had higher circulating concentrations of high‐sensitivity C‐reactive protein (hs‐CRP; 0.91 [0.36–2.25] vs. 0.52 [0.20–0.98] pg/mL, P < 0.001 and interleukin‐18‐binding protein (IL‐18BP; 1746 [1304–2112] vs. 1381 [1191–1807] pg/mL; P = 0.001) than those without diabetes. In multivariate analysis, only higher hs‐CRP concentrations persisted. Neither circulating immune cells nor ex vivo cytokine levels produced by PBMCs in response to an extensive panel of stimuli differed in groups defined by awareness state or a history of SH, apart from elevated IL‐18BP in people with, versus those without, history of SH (1524 [1227–1903] vs. 1913 [1459–2408] pg/mL; P < 0.001). Conclusions IAH or history of SH in people with type 1 diabetes was not associated with altered inflammatory profiles, arguing against chronically elevated inflammatory activity mediating the increased cardiovascular risk associated with hypoglycaemia. The finding of higher circulating concentrations of IL‐18BP in individuals with a history of SH requires further investigation.