PDF(Pubmed)
Abstract：
UNASSIGNED: To reveal the causality between retinal vascular density (VD), fractal dimension (FD), and brain cortex structure using Mendelian randomization (MR).
UNASSIGNED: Cross-sectional study.
UNASSIGNED: Genome-wide association studies of VD and FD involving 54 813 participants from the United Kingdom Biobank were used. The brain cortical features, including the cortical thickness (TH) and surface area (SA), were extracted from 51 665 patients across 60 cohorts. Surface area and TH were measured globally and in 34 functional regions using magnetic resonance imaging.
UNASSIGNED: Bidirectional univariable MR (UVMR) was used to detect the causality between FD, VD, and brain cortex structure. Multivariable MR (MVMR) was used to adjust for confounding factors, including body mass index and blood pressure.
UNASSIGNED: The global and regional measurements of brain cortical SA and TH.
UNASSIGNED: At the global level, higher VD is related to decreased TH (β = -0.0140 mm, 95% confidence interval: -0.0269 mm to -0.0011 mm, P = 0.0339). At the functional level, retinal FD is related to the TH of banks of the superior temporal sulcus and transverse temporal region without global weighted, as well as the SA of the posterior cingulate after adjustment. Vascular density is correlated with the SA of subregions of the frontal lobe and temporal lobe, in addition to the TH of the inferior temporal, entorhinal, and pars opercularis regions in both UVMR and MVMR. Bidirectional MR studies showed a causation between the SA of the parahippocampal and cauda middle frontal gyrus and retinal VD. No pleiotropy was detected.
UNASSIGNED: Fractal dimension and VD causally influence the cortical structure and vice versa, indicating that the retinal microvasculature may serve as a biomarker for cortex structural changes. Our study provides insights into utilizing noninvasive fundus images to predict cortical structural deteriorations and neuropsychiatric disorders.
UNASSIGNED: The author(s) have no proprietary or commercial interest in any materials discussed in this article.
UNASSIGNED: Cross-sectional study.
UNASSIGNED: Genome-wide association studies of VD and FD involving 54 813 participants from the United Kingdom Biobank were used. The brain cortical features, including the cortical thickness (TH) and surface area (SA), were extracted from 51 665 patients across 60 cohorts. Surface area and TH were measured globally and in 34 functional regions using magnetic resonance imaging.
UNASSIGNED: Bidirectional univariable MR (UVMR) was used to detect the causality between FD, VD, and brain cortex structure. Multivariable MR (MVMR) was used to adjust for confounding factors, including body mass index and blood pressure.
UNASSIGNED: The global and regional measurements of brain cortical SA and TH.
UNASSIGNED: At the global level, higher VD is related to decreased TH (β = -0.0140 mm, 95% confidence interval: -0.0269 mm to -0.0011 mm, P = 0.0339). At the functional level, retinal FD is related to the TH of banks of the superior temporal sulcus and transverse temporal region without global weighted, as well as the SA of the posterior cingulate after adjustment. Vascular density is correlated with the SA of subregions of the frontal lobe and temporal lobe, in addition to the TH of the inferior temporal, entorhinal, and pars opercularis regions in both UVMR and MVMR. Bidirectional MR studies showed a causation between the SA of the parahippocampal and cauda middle frontal gyrus and retinal VD. No pleiotropy was detected.
UNASSIGNED: Fractal dimension and VD causally influence the cortical structure and vice versa, indicating that the retinal microvasculature may serve as a biomarker for cortex structural changes. Our study provides insights into utilizing noninvasive fundus images to predict cortical structural deteriorations and neuropsychiatric disorders.
UNASSIGNED: The author(s) have no proprietary or commercial interest in any materials discussed in this article.
摘要：
■为了揭示视网膜血管密度(VD)之间的因果关系，分形维数(FD)，使用孟德尔随机化（MR）和大脑皮层结构。
■横断面研究。
■使用了来自英国生物库的54813名参与者的VD和FD的全基因组关联研究。大脑皮层的特征,包括皮质厚度（TH）和表面积（SA），从60个队列中的51665名患者中提取。使用磁共振成像在34个功能区域中全局测量表面积和TH。
■双向单变量MR（UVMR）用于检测FD之间的因果关系，VD,和大脑皮层结构。多变量MR(MVMR)用于调整混杂因素，包括体重指数和血压.
■大脑皮层SA和TH的全局和区域测量。
■在全球范围内，较高的VD与TH降低有关(β=-0.0140mm，95%置信区间：-0.0269mm至-0.0011mm，P=0.0339)。在功能层面,视网膜FD与上颞沟和横颞区的TH有关，没有全局加权，以及后扣带回调整后的SA。血管密度与额叶和颞叶亚区域的SA相关，除了下颞叶的TH，entorhinal,在UVMR和MVMR中都有平视区。双向MR研究显示，海马旁和脑尾中额回的SA与视网膜VD之间存在因果关系。没有检测到多效性。
■分形维数和VD因果关系影响皮质结构，反之亦然，表明视网膜微脉管系统可以作为皮质结构变化的生物标志物。我们的研究提供了利用非侵入性眼底图像来预测皮质结构恶化和神经精神疾病的见解。
■作者对本文讨论的任何材料都没有专有或商业利益。
■横断面研究。
■使用了来自英国生物库的54813名参与者的VD和FD的全基因组关联研究。大脑皮层的特征,包括皮质厚度（TH）和表面积（SA），从60个队列中的51665名患者中提取。使用磁共振成像在34个功能区域中全局测量表面积和TH。
■双向单变量MR（UVMR）用于检测FD之间的因果关系，VD,和大脑皮层结构。多变量MR(MVMR)用于调整混杂因素，包括体重指数和血压.
■大脑皮层SA和TH的全局和区域测量。
■在全球范围内，较高的VD与TH降低有关(β=-0.0140mm，95%置信区间：-0.0269mm至-0.0011mm，P=0.0339)。在功能层面,视网膜FD与上颞沟和横颞区的TH有关，没有全局加权，以及后扣带回调整后的SA。血管密度与额叶和颞叶亚区域的SA相关，除了下颞叶的TH，entorhinal,在UVMR和MVMR中都有平视区。双向MR研究显示，海马旁和脑尾中额回的SA与视网膜VD之间存在因果关系。没有检测到多效性。
■分形维数和VD因果关系影响皮质结构，反之亦然，表明视网膜微脉管系统可以作为皮质结构变化的生物标志物。我们的研究提供了利用非侵入性眼底图像来预测皮质结构恶化和神经精神疾病的见解。
■作者对本文讨论的任何材料都没有专有或商业利益。
