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Proteomic blood-biomarkers for personalized risk stratification of diabetic retinopathy patients

  • Bent Honoré
  • , Lasse Jørgensen Cehofski
  • , Steffen Heegaard
  • , Ivan Brandslund
  • , Henrik Vorum
  • , Carina Slidsborg*
  • *Corresponding author for this work
  • Aarhus University
  • Aalborg University
  • Aalborg University Hospital
  • Rigshospitalet
  • University of Copenhagen

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

Introduction: Diabetes mellitus (DM) is a challenging chronic disease worldwide. The incidence is expected to rise dramatically by 2030 due to smoking, obesity, and aging population, increasing the public health burden in coming years. Diabetic retinopathy (DR) is a common microvascular complication and a leading cause of blindness among working-age individuals. Understanding the proteomic mechanisms driving disease progression and visual loss is of paramount importance when laying novel strategies for managing patients in clinical practice. Areas covered: We summarize proteomic studies addressing molecular biomarkers in human blood for DR. We discuss methodological advantages and challenges. Proteomic technology advancement has reached a level where even low-abundance proteins related to disease can be detected in blood. The pooled results of these studies suggest that the biomarkers are specific to the disease stage and hold promise for personalized risk stratification in DR. Expert opinion: With the development of advanced mass spectrometry technology for the investigation of biomarkers in blood, this research area is expected to advance in the future. Similarly, it is expected that novel blood-based biomarkers for DR will be validated in international studies and implemented in clinical practice. Therefore, future perspectives hold promises of personalized risk profiling for diagnosis, disease progression, and optimal choice of treatment.

Original languageEnglish
JournalExpert Review of Proteomics
Volume22
Issue number7
Pages (from-to)287-295
ISSN1478-9450
DOIs
Publication statusPublished - 2025

Keywords

  • blood biomarkers
  • diabetic retinopathy
  • humans
  • Preventive personalised medicine
  • proteomics
  • risk stratification

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