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Related Concept Videos

Diabetic Nephropathy01:28

Diabetic Nephropathy

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Definition Diabetic nephropathy is a chronic kidney complication that results from prolonged hyperglycemia.Prevalence It is the most common cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD) worldwide, affecting up to half of individuals with diabetes.Pathophysiology • Sustained hyperglycemia triggers multiple hemodynamic and metabolic changes in the kidney. • Early in the disease, increased renal blood flow and glomerular hyperfiltration...
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Diabetic Retinopathy01:27

Diabetic Retinopathy

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DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...
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Related Experiment Video

Updated: Apr 23, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:31

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice

Published on: May 2, 2025

790

Integrative Proteomic and Machine Learning Analysis Identifies Novel Predictors and Risk Model for Diabetic

Chenggong Ma1, Zhongling Dai1, Bingqing Xiao2

  • 1Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China.

Diabetes, Obesity & Metabolism
|April 22, 2026
PubMed
Summary
This summary is machine-generated.

This study identified a 12-protein panel for early detection of diabetic macrovascular complications. These biomarkers, linked to inflammation and matrix remodeling, can predict events years before clinical onset.

Keywords:
Diabetic macrovascular complicationsMachine learningMendelian randomizationProteomicsRisk prediction

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Last Updated: Apr 23, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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Area of Science:

  • Cardiovascular Research
  • Proteomics
  • Biomarker Discovery

Background:

  • Diabetic macrovascular complications cause significant morbidity.
  • Early detection tools and mechanistic understanding are limited.

Purpose of the Study:

  • Identify circulating protein biomarkers for diabetic macrovascular complications.
  • Elucidate the biological significance of these biomarkers.

Main Methods:

  • Proteome-wide Mendelian randomization (MR), Cox regression, and proteome-wide association study (PWAS) were used.
  • A machine learning-derived protein risk score was constructed.
  • Functional enrichment, multi-omics integration, and phenome-wide MR were performed.

Main Results:

  • Identified 43 proteins involved in immune-inflammatory cascades and extracellular matrix remodeling.
  • A 12-protein panel demonstrated robust discrimination (AUC=0.793) and risk stratification.
  • Protein perturbations were detected 10-12 years before clinical onset, linked to cardiometabolic dysregulation.

Conclusions:

  • A robust circulating protein panel can forecast diabetic macrovascular events.
  • Identified core biological drivers of disease progression.
  • Highlights the value of integrating proteomics, time-series analysis, and causal inference for biomarker discovery.