Structural and causal links between retinal vascular geometry and neural layer thickness

IF 2.7 4区 医学 Q2 PERIPHERAL VASCULAR DISEASE
Mayinuer Yusufu , Robert N. Weinreb , Mengtian Kang , Algis J. Vingrys , Xianwen Shang , Lei Zhang , Danli Shi , Mingguang He
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引用次数: 0

Abstract

Purpose

To investigate structural relationships between retinal vasculometry from color fundus photography (CFP) and neural layers obtained from Optical Coherence Tomography (OCT) scans.

Methods

This cross-sectional study used the Retina-based Microvascular Health Assessment System (RMHAS) to extract retinal vascular measurements in the 6*6 mm area centered on the macular region and analyzed their associations with OCT parameters. We investigated both pairwise correlations between individual retinal layers and vascular parameters and associations between sets of variables. Mendelian randomization was employed to investigate potential causality.

Results

Data from 67,918 eyes of 43,029 participants were included. Among neural layers, Ganglion Cell-Inner Plexiform Layer (GC-IPL) showed the most notable correlations with vascular Density and Complexity (r = 0.199 for arterial Vessel Area Density and r = 0.175 for Number of Segments). Inner Nuclear Layer (INL) thickness correlated with Width (r = 0.122) and arterial Vessel Area Density (r = 0.127). Mendelian randomization indicated a bidirectional causal relationship. Genetically predicted higher Vessel Density was associated with increased thickness across various retinal layers, with standardized effect size of 1.50 on Inner Segment/Outer Segment + Photoreceptor Segment thickness. Genetically predicted increases in retinal layer thicknesses, particularly the Outer Plexiform Layer, were linked to higher Vessel Density (standardized effect size 0.45) and Fractal Dimension (standardized effect size 0.48).

Conclusions

GC-IPL and INL were positively associated with vascular Density and Caliber. Multidimensional relationships indicate a complementary nature between retinal vascular and neural parameters, highlighting their value as a composite biomarker. Mendelian Randomization uncovered a bidirectional causal relationship, providing insights into novel therapeutic approaches targeting vascular and neuronal components.
视网膜血管几何形状和神经层厚度之间的结构和因果关系
目的探讨彩色眼底摄影(CFP)视网膜血管测量与光学相干断层扫描(OCT)神经层之间的结构关系。方法采用基于视网膜的微血管健康评估系统(RMHAS)提取黄斑中心6*6 mm区域视网膜血管测量值,分析其与OCT参数的相关性。我们调查了个体视网膜层和血管参数之间的两两相关性以及变量集之间的关联。采用孟德尔随机化来调查潜在的因果关系。结果纳入了43029名参与者的67918只眼睛的数据。在神经层中,神经节细胞-内丛状层(GC-IPL)与血管密度和复杂性的相关性最显著(动脉血管面积密度r = 0.199,节段数r = 0.175)。内核层(INL)厚度与宽度(r = 0.122)和动脉血管面积密度(r = 0.127)相关。孟德尔随机化表明存在双向因果关系。基因预测较高的血管密度与视网膜各层厚度的增加有关,内层/外段+感光层厚度的标准化效应大小为1.50。基因预测视网膜层厚度的增加,特别是外丛状层,与更高的血管密度(标准化效应值0.45)和分形维数(标准化效应值0.48)有关。结论sgc - ipl和INL与血管密度和管径呈正相关。多维关系表明视网膜血管和神经参数之间的互补性质,突出了它们作为复合生物标志物的价值。孟德尔随机化揭示了双向因果关系,为针对血管和神经元成分的新治疗方法提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microvascular research
Microvascular research 医学-外周血管病
CiteScore
6.00
自引率
3.20%
发文量
158
审稿时长
43 days
期刊介绍: Microvascular Research is dedicated to the dissemination of fundamental information related to the microvascular field. Full-length articles presenting the results of original research and brief communications are featured. Research Areas include: • Angiogenesis • Biochemistry • Bioengineering • Biomathematics • Biophysics • Cancer • Circulatory homeostasis • Comparative physiology • Drug delivery • Neuropharmacology • Microvascular pathology • Rheology • Tissue Engineering.
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