Glycosuria amount in response to hyperglycaemia and risk for diabetic kidney disease and related events in Type 1 diabetic patients

Carpentier, C.; Dubois, Séverine; Mohammedi, Kamel; Belhatem, Narimène; Bouhanick, Béatrice; Rohmer, V.; Briet, Claire; Bumbu, Anisoara; Hadjadj, Samy; Roussel, Ronan; Potier, Louis; Marre, Michel

doi:10.1093/ndt/gfy197

Cited by 10 publications

(8 citation statements)

References 31 publications

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“…Notably, when compared to healthy individuals, people with diabetes have a two- to fourfold increased risk of cardiovascular disease ( Rao Kondapally Seshasai et al, 2011 ). Similarly, elevated blood glucose levels in patients with diabetes are associated with kidney damage and the development of diabetic kidney disease ( Carpentier et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

High glucose levels increase influenza-associated damage to the pulmonary epithelial-endothelial barrier

Hulme

Yan

Marshall

et al. 2020

eLife

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Diabetes mellitus is a known susceptibility factor for severe influenza virus infections. However, the mechanisms that underlie this susceptibility remain incompletely understood. Here, the effects of high glucose levels on influenza severity were investigated using an in vitro model of the pulmonary epithelial-endothelial barrier as well as an in vivo murine model of type II diabetes. In vitro we show that high glucose conditions prior to IAV infection increased virus-induced barrier damage. This was associated with an increased pro-inflammatory response in endothelial cells and the subsequent damage of the epithelial junctional complex. These results were subsequently validated in vivo. This study provides the first evidence that hyperglycaemia may increase influenza severity by damaging the pulmonary epithelial-endothelial barrier and increasing pulmonary oedema. These data suggest that maintaining long-term glucose control in individuals with diabetes is paramount in reducing the morbidity and mortality associated with influenza virus infections.

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Section: Introductionmentioning

confidence: 99%

High glucose levels increase influenza-associated damage to the pulmonary epithelial-endothelial barrier

Hulme

Yan

Marshall

et al. 2020

eLife

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“…Increased amounts of sodium reaching the macula densa reduces preglomerular resistance . In patients with type 1 diabetes, the proximal tubular reabsorption of glucose and sodium is more important during hyperglycaemia among those with hyperfiltration than those without . The availability of sodium‐glucose co‐transporter‐2 (SGLT2) inhibitors confirmed the role of impaired tubulo‐glomerular balance in the constitution of diabetic kidney disease and hypervolaemia (which favours heart failure in patients with diabetes).…”

Section: Mechanisms Behind High Bp In People With Diabetesmentioning

confidence: 95%

“…Probably the tubulo‐glomerular feedback capacities are variable between individuals. In patients with recent type 1 diabetes, transition from normo‐ to hyperglycaemia increases the amount of glucose reabsorbed during hyperglycaemia and induces glomerular hyperfltration, which indicates an increased risk for ongoing renal events. This GFR increase in response to hyperglycaemia can be blocked by the SGLT2 inhibitor empagliflozin .…”

Section: Antidiabetic Drugs With Bp‐lowering Propertiesmentioning

confidence: 99%

Importance of intensive blood pressure control in type 2 diabetes: Mechanisms, treatments and current guidelines

Marre

2020

Diabetes Obesity Metabolism

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Observational and interventional studies have shown that intensified blood pressure (BP) reduction can benefit people with diabetes. Because of their special haemodynamic properties, renin‐angiotensin‐aldosterone system (RAAS) blockers are recommended. The results of the BP arm of the ADVANCE study strongly support the recently updated European Society of Cardiology/European Association of Diabetes recommendations for the treatment of BP in people with diabetes, which recommend a target systolic/diastolic BP of 130/80 mmHg with few exceptions, and a fixed combination of an RAAS blocker with a diuretic or a calcium channel blocker as first‐line treatment.

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“…Therefore, developing risk prediction models for diabetes mellitus and identifying high-risk individuals have become a challenging issue in clinical research. To explore the risk factors and formulate predictive models for diabetes development, machine learning techniques have been widely used 8 . These methods help researchers discover unknown significant figures and solve scientific problems from large quantities of datasets 9 , 10 .…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study

Moon

Jang

Kim

et al. 2021

Sci Rep

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In this study, we aimed to propose a novel diabetes index for the risk classification based on machine learning techniques with a high accuracy for diabetes mellitus. Upon analyzing their demographic and biochemical data, we classified the 2013–16 Korea National Health and Nutrition Examination Survey (KNHANES), the 2017–18 KNHANES, and the Korean Genome and Epidemiology Study (KoGES), as the derivation, internal validation, and external validation sets, respectively. We constructed a new diabetes index using logistic regression (LR) and calculated the probability of diabetes in the validation sets. We used the area under the receiver operating characteristic curve (AUROC) and Cox regression analysis to measure the performance of the internal and external validation sets, respectively. We constructed a gender-specific diabetes prediction model, having a resultant AUROC of 0.93 and 0.94 for men and women, respectively. Based on this probability, we classified participants into five groups and analyzed cumulative incidence from the KoGES dataset. Group 5 demonstrated significantly worse outcomes than those in other groups. Our novel model for predicting diabetes, based on two large-scale population-based cohort studies, showed high sensitivity and selectivity. Therefore, our diabetes index can be used to classify individuals at high risk of diabetes.

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Glycosuria amount in response to hyperglycaemia and risk for diabetic kidney disease and related events in Type 1 diabetic patients

Abstract: Reduced tubulo-glomerular feedback and glycosuria during hyperglycaemia indicate high renal risk for Type 1 diabetic patients. Inter-individual variability in tubulo-glomerular feedback activity determines renal risk in Type 1 diabetes.

Cited by 10 publications

References 31 publications

High glucose levels increase influenza-associated damage to the pulmonary epithelial-endothelial barrier

High glucose levels increase influenza-associated damage to the pulmonary epithelial-endothelial barrier

Importance of intensive blood pressure control in type 2 diabetes: Mechanisms, treatments and current guidelines

Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study

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