Clinical and experimental studies have shown that sodium glucose co-transporter 2 inhibitors (SGLT2i) contribute to the prevention of diabetic kidney disease progression. In order to clarify its pharmacological effects on the molecular mechanisms underlying the development of diabetic kidney disease, we administered different doses of the SGLT2i, ipragliflozin, to type 2 diabetic mice. A high-dose ipragliflozin treatment for 8 weeks lowered blood glucose levels and reduced urinary albumin excretion. High- and low-dose ipragliflozin both inhibited renal and glomerular hypertrophy, and reduced NADPH oxidase 4 expression and subsequent oxidative stress. Analysis of glomerular phenotypes using glomeruli isolation demonstrated that ipragliflozin preserved podocyte integrity and reduced oxidative stress. Regarding renal tissue hypoxia, a short-term ipragliflozin treatment improved oxygen tension in the kidney cortex, in which SGLT2 is predominantly expressed. We then administered ipragliflozin to type 1 diabetic mice and found that high- and low-dose ipragliflozin both reduced urinary albumin excretion. In conclusion, we confirmed dose-dependent differences in the effects of ipragliflozin on early diabetic nephropathy in vivo. Even low-dose ipragliflozin reduced renal cortical hypoxia and abnormal hemodynamics in early diabetic nephropathy. In addition to these effects, high-dose ipragliflozin exerted renoprotective effects by reducing oxidative stress in tubular epithelia and glomerular podocytes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838225 | PMC |
http://dx.doi.org/10.1038/s41598-018-22229-5 | DOI Listing |
J Natl Cancer Inst
January 2025
Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Background: Adolescents and young adults (AYA) with germline CDH1 variants are at risk of overtreatment when precancer lesions are detected with endoscopic screening. We characterize diffuse-type gastric cancer prevalence and survival in AYA managed with prophylactic total gastrectomy (PTG) or endoscopic surveillance.
Methods: Prospective cohort study of 188 individuals aged 39 and younger enrolled from January 27, 2017, to May 1, 2023.
Invest Ophthalmol Vis Sci
January 2025
University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Coimbra, Portugal.
Purpose: Diabetic retinopathy (DR) is usually diagnosed many years after diabetes onset. Indeed, an early diagnosis of DR remains a notable challenge, and, thus, developing novel approaches for earlier disease detection is of utmost importance. We aim to explore the potential of texture analysis of optical coherence tomography (OCT) retinal images in detecting retinal changes in streptozotocin (STZ)-induced diabetic animals at "silent" disease stages when early retinal molecular and cellular changes that cannot be clinically detectable are already occurring.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Department of Experimental Medicine, Sapienza University of Rome, Italy.
Context: Autoantibodies against IFN-α (AAb-IFN-α) might be associated with the less aggressive autoimmunity in latent autoimmune diabetes in adults (LADA) compared to early-onset type 1 diabetes (T1D).
Objective: To investigate the presence and clinical relevance of the positivity to AAb-IFN-α in people with LADA compared to T1D.
Research Design And Methods: Serum levels of AAb against IFN-α isoforms were measured using a cell-based approach in 41 subjects with LADA and in 90 subjects with T1D.
Endocrinol Diabetes Metab
January 2025
Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Introduction: In Iran, the assessment of osteoporosis through tools like dual-energy X-ray absorptiometry poses significant challenges due to their high costs and limited availability, particularly in small cities and rural areas. Our objective was to employ a variety of machine learning (ML) techniques to evaluate the accuracy and precision of each method, with the aim of identifying the most accurate pattern for diagnosing the osteoporosis risks.
Methods: We analysed the data related to osteoporosis risk factors obtained from the Fasa Adults Cohort Study in eight ML methods, including logistic regression (LR), baseline LR, decision tree classifiers (DT), support vector classifiers (SVC), random forest classifiers (RF), linear discriminant analysis (LDA), K nearest neighbour classifiers (KNN) and extreme gradient boosting (XGB).
Front Med (Lausanne)
December 2024
Department of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Background: Trauma remains a global health issue being one of the leading causes of death worldwide. Sepsis and infections are common complications contributing to mortality, emphasizing the need to understand factors leading to such complications following trauma.
Aim: This study aimed to identify risk factors associated with post-trauma sepsis using data from the National Trauma Data Bank (NTDB).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!