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Article . 2025
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Expert Review of Proteomics
Article . 2025 . Peer-reviewed
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Proteomic blood-biomarkers for personalized risk stratification of diabetic retinopathy patients

Authors: Bent Honoré; Lasse Jørgensen Cehofski; Steffen Heegaard; Ivan Brandslund; Henrik Vorum; Carina Slidsborg;

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

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.

Keywords

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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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