AIMC Topic: Diabetic Nephropathies

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Glutathione peroxidase-1 gene (GPX1) variants, oxidative stress and risk of kidney complications in people with type 1 diabetes.

Metabolism: clinical and experimental Oct 28, 2015
BACKGROUND AND AIM: Glutathione peroxidase (GPX) is a class of antioxidant enzymes that catalyze the reduction of hydrogen peroxide to water. GPX1 is the most abundant isoform and is expressed in all kidney cells. Isoprostane and advanced oxidation p...
Humans Female Adult Male Advanced Oxidation Protein Products Isoprostanes Glutathione Peroxidase GPX1 Genotype Middle Aged Diabetes Mellitus, Type 1 Oxidative Stress Glutathione Peroxidase Diabetic Nephropathies Risk Polymorphism, Single Nucleotide
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The accuracy of Machine learning in the prediction and diagnosis of diabetic kidney Disease: A systematic review and Meta-Analysis.

International journal of medical informatics Oct 1, 2025
PURPOSE: Machine learning (ML) has gained attention in diabetes management, particularly for predicting and diagnosing diabetic kidney disease (DKD). However, systematic evidence on its performance remains limited. This study evaluates the predictive...
Machine Learning Sensitivity and Specificity Humans Diabetic Nephropathies
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The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy. The early identification of individuals at heightened risk of such complications or their exacerbation can be crucial to set a co...
Neural Networks, Computer Machine Learning Retrospective Studies Female Humans Aged Diabetes Mellitus, Type 2 Logistic Models Male Diabetic Nephropathies Glomerular Filtration Rate Middle Aged Proportional Hazards Models Deep Learning
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease.

Cardiovascular diabetology May 15, 2025
BACKGROUND: Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. We sought to develop an accurate means by which to stratify risk in DKD.
Decision Support Techniques Biomarkers Prognosis Female Humans Machine Learning Cardiovascular Diseases Middle Aged Risk Assessment Time Factors Diabetic Nephropathies Reproducibility of Results Risk Factors Aged Male Predictive Value of Tests Heart Diseases Heart Disease Risk Factors Sodium-Glucose Transporter 2 Inhibitors
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Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy.

Scientific reports May 15, 2025
Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic nephropathy (DN) emerges as a critical microvascular complication associated with high mortality rate...
Gene Regulatory Networks Databases, Genetic Humans Mice Kidney Glomerulus Machine Learning Diabetic Nephropathies Gene Ontology Animals Computational Biology Gene Expression Profiling
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Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from retinal photographs of patients with diabetes, and evaluate performance in multiethnic populations.
Longitudinal Studies Australia Humans Diabetic Retinopathy Algorithms Cross-Sectional Studies Deep Learning Diabetes Mellitus, Type 2 Diabetic Nephropathies
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Deep learning-based multi-omics study reveals the polymolecular phenotypic of diabetic kidney disease.

Clinical and translational medicine Jun 1, 2023
Diabetes Mellitus Humans Deep Learning Diabetic Nephropathies Multiomics
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Research digest: progress in microvascular complications.

The lancet. Diabetes & endocrinology Feb 1, 2018
Severity of Illness Index Diabetes Mellitus, Type 2 Diabetic Nephropathies Diabetic Angiopathies Humans Risk Factors Disease Progression Prevalence Diabetic Retinopathy Machine Learning
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Pattern and predictors of urine protein excretion among patients with type 2 diabetes attending a single tertiary hospital in Lagos, Nigeria.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 1, 2017
Testing for proteinuria is used to screen for diabetic nephropathy. However, significant proportion of diabetics has normal urine protein excretion despite impaired renal function. We aimed to determine the factors predicting increased urine protein ...
Cross-Sectional Studies Tertiary Care Centers Angiotensin II Type 1 Receptor Blockers Humans Hypertension Nigeria Biomarkers Glomerular Filtration Rate Blood Pressure Diabetes Mellitus, Type 2 Antihypertensive Agents Diabetic Nephropathies Kidney Prognosis Female Male Middle Aged Risk Assessment Creatinine Proteinuria Angiotensin-Converting Enzyme Inhibitors Risk Factors Aged Aged, 80 and over Adult
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Lactate levels and risk of lactic acidosis with metformin in diabetic kidney disease patients.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 1, 2017
Metformin as an oral antidiabetic drug (OAD) is not recommended in renal failure due to the presumed risk of lactic acidosis though it has advantages in cardiovascular protection with a low risk of hypoglycemia. Few studies have measured lactic acid ...
Metformin Lactic Acid Bicarbonates Acidosis, Lactic Renal Insufficiency, Chronic Treatment Outcome Hydrogen-Ion Concentration Administration, Oral Case-Control Studies Diabetes Mellitus, Type 2 Diabetic Nephropathies Hypoglycemic Agents Risk Factors Humans Male Biomarkers Middle Aged Female Risk Assessment
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