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Structural and causal links between retinal vascular geometry and neural layer thickness
Mayinuer Yusufu1, Robert N Weinreb2, Mengtian Kang3
1Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia; Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia.
Microvascular Research
|June 29, 2025
Summary
Retinal vascular density and complexity are linked to neural layer thickness, particularly the Ganglion Cell-Inner Plexiform Layer. A bidirectional causal relationship exists between vascular and neural components, suggesting combined biomarkers for novel therapies.
Area of Science:
- Ophthalmology
- Medical Imaging
- Genetics
Background:
- Retinal structure and function are influenced by both vascular and neural components.
- Understanding the interplay between retinal vasculature and neural layers is crucial for diagnosing and treating eye diseases.
Purpose of the Study:
- To investigate the structural relationships between retinal vasculometry and neural layers.
- To explore potential causal links between vascular and neural parameters using Mendelian randomization.
Main Methods:
- Cross-sectional study analyzing data from 67,918 eyes.
- Utilized the Retina-based Microvascular Health Assessment System (RMHAS) for vascular measurements.
- Employed Mendelian randomization to assess causality between vascular and neural parameters.
Main Results:
- The Ganglion Cell-Inner Plexiform Layer (GC-IPL) showed significant correlations with vascular density and complexity.
- Inner Nuclear Layer (INL) thickness correlated with vessel width and density.
- Mendelian randomization revealed a bidirectional causal relationship between genetically predicted vascular density and retinal layer thickness.
Conclusions:
- Retinal neural layers (GC-IPL, INL) are positively associated with vascular density and caliber.
- Multidimensional relationships suggest a complementary role for vascular and neural parameters as composite biomarkers.
- Bidirectional causality identified offers insights for novel therapeutic strategies targeting both vascular and neuronal components.
