- Department of Biological Sciences, SUNY College of Optometry, New York, NY, United States
The retinal vasculature supplies oxygen and nutrition to the cells and is crucial for an adequate retinal function. In myopia, excessive eye growth is associated with various anatomical changes that can lead to myopia-related complications. However, how myopia-induced ocular growth affects the integrity of the aged retinal microvasculature at the cellular level is not well understood. Here, we studied how aging interacts with myopia-induced alteration of the retinal microvasculature in fourteen marmoset retinas (Callithrix jacchus). String vessel and capillary branchpoint were imaged and quantified in all four capillary plexi of the retinal vasculature. As marmosets with lens-induced myopia aged, they developed increasing numbers of string vessels in all four vascular plexi, with increased vessel branchpoints in the parafoveal and peripapillary retina and decreased vessel branchpoints in the peripheral retina. These myopia-induced changes to the retinal microvasculature suggest an adaptive reorganization of the retinal microvascular cellular structure template with aging and during myopia development and progression.
Introduction
Myopia (nearsightedness) is a refractive error that increases the risk of visual impairment (1–4). It has incurred significant public health implications and is projected to affect 4,758 million people by 2050 (5). Although the increase in myopia prevalence and predicted public health crisis are recognized, the mechanisms that make myopia a significant risk factor for visual impairment remain unknown (1, 2). To date, there are not any available strategies available to prevent myopic degeneration (5).
Myopic eyes experience blur in part due to being larger in size, which can result in compromised vascular support to the inner retina (6). Alterations in the ocular vasculature have been reported in human and experimental models of myopia. Choroidal thinning has been described in human eyes as well as marmosets, mice, and chick models of myopia (7–14). The common marmoset is an established non-human primate (NHP) model that has high predictive value for changes that may occur in human diseases both systemic and ocular (7, 15–19). Both human and primate eyes with no myopic degeneration show larger foveal avascular zones (20), decreased capillary density (5, 21), narrowing of retinal vessel diameters (22), decreased peripheral vessel branching (23), increased parafoveal string vessels (23), and lower central retinal artery blood velocities (22, 24). High myopes with significantly larger eye sizes exhibit decreased ocular perfusion pressure (OPP) as the subfoveal and peripheral choroid thins (13, 25). In marmosets, the OPP is stable during the first year of life but appears to increase with myopia development, possibly related to the changes in metabolic demand that occur as myopic eyes grow larger (26).
Retinal health relies on the interplay between the vasculature, retinal neurons, glial cells, and the extracellular matrix (27). Together, these cells support normal neuronal function and work to provide nutrition (27), metabolic and homeostatic regulation (27–29), and debris phagocytosis (28). During both normal and abnormal development, the blood vessels, glial cells, and ganglion cells work together in a reciprocal feedback loop (30). With the onset of systemic pathology, the neurovascular unit exerts a biphasic influence, experiencing a remodeling reaction that might be harmful in the acute phase and beneficial in the chronic phase (31). Due to the tight relationship between the components of the neurovascular unit, the vascular changes observed in myopic eyes might in turn impair normal vascular and neuronal function, becoming a part of the series of events preceding overt retinal complications associated with myopia (32, 33). However, despite recent progress in the field, the cumulative effects of myopia development and age on the retinal microvasculature cellular structure remain unexplored.
Here, we describe changes to the retinal microvasculature cellular structure in marmosets of different ages with induced myopia. The assessment of the retinal vasculature in all four capillary plexi during myopia development revealed an increase in string-like formation between vascular capillaries and altered blood vessel branching, which are markers observed in vascular pathologies (34–37).
Methods
Marmoset model of myopia
Seventeen marmoset eyes were studied: five 6-month-old untreated controls, six 6-month-old myopes, three 12-month-old controls, and three 12-month-old myopes. Both cohorts of myopic eyes were induced with myopia by imposing hyperopic defocus using full-field negative single-vision soft contact lenses (−5D and −10D) (23, 27). The normal lifespan of a common marmoset is 7–8 years in captivity and maximum lifespan of 16–21 years (38–41). In summary, animals initiated treatment at 10 weeks of age, and were treated with either −5D or −10D contact lenses for 16 weeks (6-month-old marmosets), or 42 weeks (12-month-old marmosets). Earlier studies and statistical power analysis of the principle methods used indicated that 3 animals per experimental group provided 80% power for our statistical analysis (n = 3 younger control, n = 3 younger myope, n = 3 older control, n = 3 older myope). All animal care, treatment, and experimental protocols were approved by the SUNY College of Optometry Institutional Animal Care and Use Committee (IACUC), the ARVO statement for the use of animals in ophthalmic and vision research, the US National Research Council’s Guide for the Care and Use of Laboratory Animals, the US Public Health Service’s Policy on Humane Care and Use of Laboratory Animals, and the Guide for the Care and Use of Laboratory animals.
At baseline and at end of treatment, cycloplegic refractive error (Rx) and ocular axial length (AL) were measured using the Nidek ARK-700A autorefractor (Nidek Co., LTD, Aichi, Japan) and an ultrasound biometer (Panametrics, NDT Ltd., Waltham, MA, United States) prior to tissue collection under anesthesia (alphaxalone, 15 mg/kg, IM).
Tissue collection
At the end of treatment, eyes were enucleated and placed in phosphate-buffered saline (PBS; ThermoFisher, Waltham, MA, United States). Dissected retinas were fixed in Para-Formaldehyde (PFA) 4% in PBS (Santa Cruz Biotechnology, Dallas, TX, United States) for 40 min, washed five times for 30 min each with PBS, and incubated with 5% normal goat serum (ThermoFisher) and 0.5% TritonX (Sigma Aldrich, St. Louis, MO, United States) blocking buffer to avoid non-specific antibody binding. Following blocking, the retina was incubated with antibodies diluted in blocking buffer at 4°C for 3 days. The antibody used in this study was isolectin–Alexa 488 (1:100; ThermoFisher). After the incubation period, the retinas were washed five times for 30 min each with PBS. SuperFrost slides (ThermoFisher) were cleaned with ethanol prior to plating. Retinas were inspected for any signs of debris, and consistent tissue thickness achieved by pinching and cutting vitreal remains. Retinas were plated and cover slips were placed on objectives with DAPI mounting medium (Vector Laboratories, Newark, CA, United States), were permitted to self-seal, and stored at −20°C.
Confocal microscopy and image acquisition
The immunohistochemical samples were imaged using the Olympus FV1200 MPE confocal microscope. The images were gathered, and the analyses were performed in a randomized manner by one blind investigator. Sixteen images (317 μm × 317 μm along the horizontal plane, and 10 μm along the vertical plane) were taken from each of the fourteen retinas imaged. Multi-plane z-series were collected using a 40× objective, with each section spaced 1 μm apart. These 10 sections were processed by the confocal microscope to form a single z-stack of images subtending the whole specimen. The number of string vessels per mm2 and vessel branch points per mm2 were assessed by imaging all four retinal quadrants (temporal, nasal, superior, and inferior) in the periphery, peripapillary, parafoveal, and foveal retina (Figure 1A). After enucleation, right and left eyes were kept separately, and denotation of the temporal region was marked by the presence of the foveal pit (yellow circle, Figure 1A). Nasal is directly opposite of the temporal region, and depending on the eye, superior and inferior retina was categorized. This regional analysis was performed with the goal to identify local changes that might occur in myopic eyes due to their asymmetric eye growth pattern.
Figure 1. A map of the superficial vasculature of a whole mount marmoset retina, and images of the four different vascular plexi. (A) A complete of control marmoset retinal vasculature [green (ID: C16 Left)]. The temporal region of the eye is outlined in blue, and the position of the fovea is indicated by the yellow circle. The retinal vasculature was visualized with conjugated IB4-488. Images were acquired at 4× magnification and stitched in Photoshop. Location of peripapillary region (Pp) and peripheral region (Ph) described in this study is shown. White boxes represent focal areas away from the optic disc to periphery. Boxes labeled “Pp” represent locations where peripapillary location images were taken, while boxes labeled “Ph” represent locations where peripheral location images were taken. Superior, inferior, nasal, and temporal quadrants of the retina are shown. Scale, 1,000 μm. (B) Representative images of the retinal vasculature (green) acquired from the parafoveal area which show all vascular layers. Scale, 50 μm. White arrows point to string vessels found in the marmoset retinas. (C) The blue insert from 1A is highlighted here, with areas 1, 2, and 3 marked with white boxes indicating the (1) parafoveal region, (2) peripapillary region, and (3) peripheral region. Reconstructed images of areas 1, 2, and 3 can be seen in 1C right, showing the distribution of the retinal vasculature (green) and co-localized astrocytes (red) in those areas. The four vascular plexi are the radial peripapillary capillary (RPC), superficial (SCP), intermediate (ICP), and deep (DCP) plexi. Scale, 20 μm. Figure modified from Lin et al. (23).
Image and statistical analysis
Blood vessel branchpoints and number of string vessels per mm2 were manually counted for each frame on the branches of all orders and converted to number of branch points/mm2 and number of string vessels/mm2, respectively. The branch points and string vessels were quantified in the radial peripapillary capillary plexus (RPC, most superficial), superficial capillary plexus (SCP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP). Images were processed using Fiji software. A simple geometric correction for magnification along the two-dimensional plane was performed to account for myopic retinal stretch. Data were assessed for normality and analyzed using student t-test, and one-way analysis of variance (ANOVA) and post-hoc analysis using Tukey tests at the level of α = 0.05 were used to examine the differences between treatment and control groups. Pearson’s linear correlation was used to explore the relationship between effective age, axial length, and refractive error and compensatory string vessel and branchpoint measurements. Figures were made using OriginPro 2023 software (OriginLab, Northampton, United States) and assembled in Adobe Indesign (Adobe, San Jose, United States).
Results
Retinal vascular plexi in the common marmoset
Marmoset retinas exhibit four vascular plexi in the parafoveal region (Figures 1B,C, area 1): the RPC, SCP, ICP, and DCP. String vessels, thin non-functional connective tissue strands that are remnants of capillaries, are identified in the different plexi of marmoset retinas as white arrows in Figure 1B. In the parafoveal region, there are four vascular plexi [modified from Lin et al. (23); Figure 1C, area 1]. In the peripapillary region, marmosets have three vascular plexi (Figure 1C, area 2): the SCP, ICP, and DCP. The peripheral region (Figure 1C, area 3) only contains two vascular plexi: the SCP and the DCP. In all four groups of marmosets studied, the vasculature by the optic nerve head contained vessels of varying diameters, while the peripheral vasculature appeared to be smaller and uniform in width. Specifically, the average vein vessel width in focal regions 1–3 of the 6-month-old (6 m) marmosets was 18.06 ± 2.9 μm, while the average artery width in the same regions of the 6 m marmosets was 15.74 ± 3.1 μm (p > 0.05). The average vein vessel width in focal regions 4–6 of the 6 m marmosets was 12.25 ± 3.4 μm, while the average artery width was 9.95 ± 2.2 μm (p > 0.05). Identification, age, axial length, and refractive error of control and myopic marmosets are listed in Table 1.
Table 1. Treatment started at 10 weeks of age (72.0 ± 5.5 days) following our established protocol [30–32].
The older myopic retinas show increased number of string vessels pan-retinally in all four layers of the retinal vasculature compared to younger myopic, younger control, and older control retinas (Figures 2B, 3B, 4B, 5B), as well as increased capillary branchpoint numbers in the central retina, and decreased capillary branchpoint numbers in the periphery (Figures 2C, 3C, 4C, 5C). Capillary branchpoints/mm2 was also greater in the innermost vascular layers of the older myopic marmosets, and lower in the outermost vascular layers in all retinal locations (Figures 2C, 3C, 4C, 5C). In the 12-month-old (12 m) marmosets, the average vein and artery vessel widths in focal regions 1–3 were 16.12 ± 1.8 μm and 11.87 ± 2.7 μm, respectively (p > 0.05), and 12.04 ± 2.2 μm and 9.49 ± 2.0 μm in focal regions 4–6 (p > 0.05). These data suggest that vascular changes are taking place in aging myopic primate retina compared to young myopic retinas.
Figure 2. Vascular alterations of the myopic marmoset retina, shown with representative images of the parafoveal RPC plexus in six-month-old (6 m) controls, 6 m myopes, twelve-month-old (12 m) controls, and 12 m myopic marmoset retinas and subsequent analysis of the number of string vessels per mm2 and branchpoints per mm2 within the RPC of the parafovea. (A) Representative images of radial peripapillary capillary plexus vessel structure in the parafoveal region of a 6 m control (ID tag: C16 Right), 6 m myope (ID tag: P17 Right), 12 m control (ID tag: X15 Right) and 12 m myope (ID tag: I19 Right) taken at 40× magnification. Vasculature is labeled with IB4 (green). Scale, 50 μm. White arrows point to string vessels found in the marmoset retinas. *p < 0.05, **p < 0.01, ***p < 0.001. (B) Analysis of the number of string vessels per mm2 in the parafoveal’s RPC layer of the superior, inferior, and nasal retina. Data is shown in as a I-graph box plot for 6 m control (n = 5), 6 m myopic (n = 5), 12 m control (n = 3), and 12 m myopic (n = 3) marmoset retinas. Inner box lines represent standard error (SE), and outer lines/whiskers represent standard deviation (SD). A significant increase in string vessels in the 6 m myopic parafoveal RPC was noted (p < 0.001) and even more significant increase in the 12 m myopic parafoveal RPC (p < 0.001). (C) Analysis of the RPC vessel branch points in the parafovea region (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). A significant increase in branching was seen in the 6 m myopic parafoveal RPC, with more significant increase noted in the 12 m myopic parafoveal RPC (p < 0.05; p < 0.01).
Figure 3. Vascular alterations of the myopic marmoset retina, shown with representative images of pan-retinal SCP plexus in 6 m controls, 6 m myopes, 12 m controls, and 12 m myopic marmoset retinas and subsequent analysis of the number of string vessels per mm2 and branchpoints per mm2 within the SCP. (A) Representative images of superficial capillary plexus vessel structure in the parafoveal, peripapillary, and peripheral region of a 6 m control (ID tag: C16 Right), 6 m myope (ID tag: P17 Right), 12 m control (ID tag: X15 Right), and 12 m myope (ID tag: I19 Right) taken at 40× magnification. Vasculature is labeled with IB4 (green). Scale, 50 μm. White arrows point to string vessels found in the marmoset retinas. *p < 0.05, **p < 0.01, ***p < 0.001. (B) Analysis of the number of string vessels per mm2 in the SCP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). A significant increase in string vessels in the 6 m myopic parafoveal SCP was noted (p < 0.001) and an even more significant increase in the 12 m myopic parafoveal SCP (p < 0.01). A significant increase in string vessels in the 6 m myopic peripapillary SCP was noted (p < 0.01) and an even more significant increase in the 12 m myopic parafoveal SCP (p < 0.01). No significant difference was found in string vessels in the 6 m myopic peripheral SCP was noted (p = 0.09) with a significant increase in the 12 m myopic peripheral SCP (p < 0.01). (C) Analysis of the number of vessel branch points in the SCP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). No significant difference was found in SCP branch points of the parafovea or peripapillary myopic eyes, however a significant decrease in peripheral SCP branchpoints per mm2 in the 12 m myopic SCP was noted (p < 0.05).
Figure 4. Vascular alterations of the myopic marmoset retina, shown with representative images of parafoveal and peripapillary ICP plexus in 6 m controls, 6 m myopes, 12 m controls, and 12 m myopic marmoset retinas and subsequent analysis of the number of string vessels per mm2 and branchpoints per mm2 within the ICP. (A) Representative images of intermediate capillary plexus vessel structure in the parafoveal and peripapillary region of a 6 m control (ID tag: C16 Right), 6 m myope (ID tag: P17 Right), 12 m control (ID tag: X15 Right), and 12 m myope (ID tag: I19 Right) taken at 60× magnification. Vasculature is labeled with IB4 (green). Scale, 50 μm. White arrows point to string vessels found in the marmoset retinas. *p < 0.05, **p < 0.01, ***p < 0.001. (B) Analysis of the number of string vessels per mm2 in the ICP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). No significant difference in string vessels in the myopic parafoveal or peripapillary ICP was noted (p > 0.05). (C) Analysis of the number of vessel branchpoints per mm2 in the ICP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). A significant increase in parafoveal ICP branchpoints per mm2 in the 12 m myopic parafoveal ICP was noted (p < 0.05) and significant decrease in parafoveal ICP branchpoints per mm2 in the 6 m myope (p ≤ 0.01). A significant decrease in peripapillary ICP branchpoints per mm2 in the 6 m myopic ICP was noted (p < 0.001) as well as in the 12 m myope peripapillary ICP (p < 0.001).
Figure 5. Vascular alterations of the myopic marmoset retina, shown with representative images of pan-retinal DCP plexus in 6 m controls, 6 m myopes, 12 m controls, and 12 m myopic marmoset retinas and subsequent analysis of the number of string vessels per mm2 and branchpoints per mm2 within the DCP. (A) Representative images of deep capillary plexus vessel structure in the parafoveal, peripapillary, and peripheral region of a 6 m control (ID tag: C16 Right), 6 m myope (ID tag: P17 Right), 12 m control (ID tag: X15 Right), and 12 m myope (ID tag: I19 Right) taken at 60× magnification. Vasculature is labeled with IB4 (green). Scale, 50 μm. White arrows point to string vessels found in the marmoset retinas. *p < 0.05, **p < 0.01, ***p < 0.001. (B) Analysis of the number of string vessels per mm2 in the DCP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). A significant increase in string vessels in the 6 m myopic parafoveal DCP was noted (p < 0.01) and even more significant increase in the 12 m myopic parafoveal DCP (p < 0.001). A significant increase in string vessels in the 6 m myopic peripapillary DCP was noted (p < 0.01) but no difference was noted in the 12 m myopic peripheral DCP (p =0.22). No significant difference was noted in string vessels in the 6m myopic peripheral DCP (p = 0.69) and a significant increase in 12 m myopic peripheral DCP string vessels per mm2 was noted (p < 0.001). (C) Analysis of the number of vessel branch points in the DCP of the superior, inferior, and nasal retina (6 m control n = 5, 6 m myope n = 6, 12 m control n = 3, 12 m myope n = 3). No significant difference in parafoveal DCP branchpoints per mm2 in the 6mmyopic parafoveal DCP was noted (p = 0.6), with a significant increase in 12 m myopic parafoveal DCP branchpoints per mm2 was seen (p < 0.05). A significant decrease in both 6 m myopic peripapillary DCP (p < 0.05) and 12 m myopic peripapillary DCP branchpoints per mm2 (p < 0.01) was noted. A significant decrease in peripheral DCP branchpoints per mm2 in the 6 m myope (p < 0.05) and 12 m myope (p < 0.001) was noted.
Vascular changes in the parafoveal radial peripapillary capillary plexus of the myopic marmosets
The radial peripapillary capillary plexus (RPC) was present in all animals and all quadrants of the parafoveal region imaged (Figure 2A). The RPC is located in the retinal nerve fiber layer, limited to the posterior pole and normally located on the temporal side of the retina. We found that in this plexus 6 m myopic retinas had greater string vessel numbers/mm2 compared to controls (Figure 2B; 6 m control 23.5 ± 8.6 string vessels/mm2; 6 m myope 61.04 ± 13.8; p < 0.001). The 12 m myopic retinas also exhibited greater string vessel numbers/mm2 compared to 12 m controls (Figure 2B; 12 m control 22.71 ± 4.2 string vessels/mm2; 12 m myopes 182.22 ± 23.6 string vessels/mm2; p < 0.001). The string vessel density in 6 m controls was not significantly different to that of 12 m controls (p > 0.05).
The number of capillary branchpoints/mm2 in the RPC was also significantly greater in 6 m myopic retinas compared to 6 m controls, and these differences were greater in the older 12 m myopic retinas compared to 12 m controls (Figure 2C: 6 m control 106.79 ± 13.3 branchpoints/mm2, 6 m myope 156.34 ± 39.8, p < 0.05; 12 m control 114.91 ± 14.0, 12 m myope 172.22 ± 15.8; p < 0.01). Overall the parafoveal RPC of myopic marmosets had greater string vessels and vessel branchpoints numbers than controls. The number of string vessels increased by 150/mm2 in 12 m myopic marmosets relative to 12 m control marmosets, and by 40/mm2 in 6 m myopic marmosets relative to 6 m control marmosets. The number of branchpoints/mm2 increased by 50/mm2 in 6 m myopic marmosets relative to 6 m control marmosets, and by 60/mm2 in 12 m myopic marmosets relative to 12 m control marmosets.
Vascular changes in the superficial capillary plexus of the myopic marmosets
The superficial capillary plexus (SCP) was present in all animals, all quadrants and areas imaged (Figure 3A). The string vessels/mm2 densities was greater in 6 m myopic marmoset retinas, and even greater in 12 m myopic retinas compared to that of 6 m or 12 control retinas pan-retinally, respectively (Figure 3B: parafovea 6 m control 35.2 ± 8.4 string vessels/mm2, 6 m myope 85.42 ± 25.7, p = 0.001; 12 m control 54.62 ± 6.9; 12 m myope 198.89 ± 49.1, p < 0.01. Peripapillary 6 m control 36.63 ± 14.6 string vessels/mm2, peripapillary 6 m myope 73.96 ± 17.7, p < 0.01; peripapillary 12 m control 54.36 ± 6.3, 12 m myope 155.0 ± 37.2; p < 0.01. Periphery 6 m control 44.88 ± 25.0 string vessels/mm2, periphery 6 m myope 73.23 ± 24.4, p = 0.09; periphery 12 m control 65.03 ± 11.5, 12 m myope 114.44 ± 8.4, p < 0.05).
In this plexus, the number of capillary branchpoints/mm2 was unchanged in the 12 and 6 m myopic marmoset retinas compared to 12 and 6 m controls in the parafovea and peripapillary regions (Figure 3C: parafovea 6 m control 147.83 ± 24.1 branchpoints/mm2, 6 m myope 121.5 ± 27.6, p = 0.14; 12 m control 222 ± 19.3, 12 m myope 271.11 ± 38.6, p = 0.12; Peripapillary 6 m control 157.5 ± 43.22 branchpoints/mm2, 6 m myope 111.81 ± 27.4, p = 0.06; 12 m control 196.6 ± 22.5, 12 m myope 227.22 ± 67.8, p = 0.22). There was a significant decrease in capillary branchpoint density in the retinal periphery of 12 m myopic marmoset retinas compared to 12 m controls (Figure 3C right: Periphery 6 m control 133.0 ± 36.4 branchpoints/mm2, peripheral 6 m myope 91.11 ± 29.3, p = 0.06; peripheral 12 m control 163.33 ± 22.5, 12 m myope 84.44 ± 22.2, p < 0.05). The SCP of 12 m myopic marmosets contained more string vessels than 12 m controls, 6 m myopes and 6 m controls did. The SCP vascular branchpoint density was greater in the peripheral retina of 12 m control marmosets. Across the retina, string vessel density increased by 100/mm2 in 12 m myopic marmosets relative to 12 m control marmosets, and by 40/mm2 in 6 m myopic marmosets relative to 6 m control marmosets. Similarly, capillary branchpoint density decreased in the peripheral retina by 80/mm2 in 12 m myopic marmosets relative to 12 m control marmosets, and by 40/mm2 in 6 m myopic marmosets relative to 6 m controls.
Vascular changes in the intermediate capillary plexus of the myopic marmosets
The intermediate capillary plexus (ICP) was present in the peripapillary and parafoveal regions of all animals, in all quadrants evaluated (Figure 4A). The ICP was not present in the periphery. In the parafovea, the number of string vessels/mm2 was not significantly different in 6 m or 12 myopic marmoset retinas (Figure 4B: parafovea 6 m control 24.33 ± 5.1 string vessels/mm2, 6 m myope 28.75 ± 8.5, p = 0.30; 12 m control 88.58 ± 12.8, 12 m myope 100 ± 18.1, p = 0.71. Peripapillary 6 m control 45.83 ± 18.1 string vessels/mm2, 6 m myope 32.38 ± 2.8, p = 0.19; 12 m control 61.46 ± 9.1, 12 m myope 81.11 ± 25.9; p = 0.28).
In the parafovea and peripapillary, the capillary branchpoint density was higher in 12 m myopic parafovea retina compared to 12 m controls, but lower in both 6 m and 12 m myopic peripapillary retinas compared to 6 and 12 m controls, respectively (Figure 4C: parafovea 6 m control 222.76 ± 46.4 branchpoints/mm2, 6 m myope 173.33 ± 33.3, p = 0.09; 12 m control 206.0 ± 16.5, 12 m myope 271.11 ± 38.6, p < 0.05. Peripapillary 6 m control 143.18 ± 39.3 branchpoints/mm2, 6 m myope 79.86 ± 19.6, p < 0.01; 12 m control 160.0 ± 15.0, 12 m myope 77.78 ± 10.7; p < 0.001).
Overall the ICP in 12 m myopic marmosets contained similar amounts of string vessels/mm2 than 12 m controls, 6 m controls or 6 m myopes across the retina. ICP vascular branchpoints increased in the parafoveal retina of 12 m myopic marmosets and decreased in the peripapillary retina of 6 and 12 m myopic marmosets. The number of branchpoints/mm2 increased by 70/mm2 in the parafovea of 12 m myopic marmosets relative to 12 m control marmosets, and decreased by 50/mm2 in peripapillary of 6 m myopic marmosets relative to 6 m controls. Similarly, the number of branchpoints per mm2 in the parafovea decreased by 80/mm2 in 12 m myopic marmosets relative to 12 m control marmosets.
Vascular changes in the deep capillary plexus of the myopic marmosets
The DCP was present in all animals and all quadrants imaged (Figure 5A). In the parafovea and peripapillary, the number of string vessels/mm2 was greater in 6 m myopic marmoset retinas compared to 6 m controls, and even greater in 12 m myopic retinas compared to 12 m control retinas (Figure 5B: parafovea 6 m control 43.75 ± 22.6 string vessels/mm2, 6 m myope 120.89 ± 55.2, p < 0.01; parafovea 12 m control 109.33 ± 18.2, 12 m myope 276.67 ± 59.0, p < 0.01. Peripapillary 6 m control 67.19 ± 44.9 string vessels/mm2, 6 m myope 136.77 ± 41.1, p = 0.01; peripapillary 12 m control 131 ± 19.3, 12 m myope 184.44 ± 61.9, p = 0.22). The number of string vessels/mm2 was greater in the periphery of 12 m myopic retinas compared to 12 m controls (Periphery 6 m control 45.52 ± 29.5 string vessels/mm2, 6 m myope 51.11 ± 25.9, p = 0.69; 12 m control 84.67 ± 9.3, 12 m myope 148.3 ± 20.2; p < 0.01).
The number of parafoveal DCP vessel branchpoints/mm2 in 6 m and 12 m myopes was not different from that of 6 or 12 m controls, respectively (Figure 5C: parafovea 6 m control 164.26 ± 26.8 branchpoints/mm2, 6 m myope 173.57 ± 39.4, p = 0.67; 12 m control 204.33 ± 18.9, 12 m myope 256.67 ± 58.4, p = 0.21). In the peripapillary and peripheral retina, the number of capillary branchpoints/mm2 was lower in 6 m and 12 myopic retinas compared to that of 6 m control or 12 m control retinas, respectively (Figure 5C: peripapillary 6 m control 225.0 ± 61.8 branchpoints/mm2, 6 m myope 139.76 ± 34.3, p = 0.01; peripapillary 12 m control 210.0 ± 20.0, 12 m myope 151.67 ± 28.4, p < 0.05. Periphery 6 m control 170.51 ± 46.7 branchpoints/mm2, 6 m myope 102.55 ± 40.1, p < 0.05; periphery 12 m control 176.67 ± 20.27, 12 m myope 88.89 ± 21.4; p < 0.01).
The DCP of 12 m myopic marmosets contain had greater string vessel density than 12 m controls, 6 m controls or 6 m myopes pan-retinally. DCP vascular branchpoints/mm2 decreased in the peripapillary and periphery retina of 12 m myopic marmosets. Across the retina, the number of string vessels per mm2 increased by 50/mm2 in 12 m myopic marmosets relative to 6 m myopic marmosets, and by 100/mm2 relative to 12 m control marmosets. Similarly, the number of branchpoints per mm2 across the retina decreased by 60/mm2 in 12 m myopic marmosets relative to 6 m myopic marmosets, and by 110/mm2 relative to 12 m control marmosets.
Regression analysis
Stepwise multiple regression models were used to evaluate whether the numbers of string vessel/and branchpoints observed would be predicted by the age, axial length, or refractive error of the animals. In these models, age, axial length, or refractive error were the independent variables, and the string vessel and branchpoint measures in each ETDRS region and layer were the dependent variables. As myopic eyes aged, they grew longer and had relatively higher numbers of string vessels and decreased branchpoints in the SCP (multiple regression, R2 = 0.16, p < 0.001), ICP (multiple regression: R2 = 0.272, p < 0.001) and DCP (multiple regression; R2 = 0.321, p < 0.001). Decreasing branchpoints/mm2 of the SCP were negatively correlated with increasing axial length (R2 = 0.83, p < 0.001) and higher refractive error (R2 = 0.69, p < 0.001).
Discussion
This study provides evidence of significant changes in all four capillary plexi of the retinal vasculature in marmosets induced with myopia, a NHP model successfully used in vision research due to the similarities in structure and function to the human eye. Compared to 6-month myopic and 6-month old controls, 12-month old myopic marmosets had greater numbers of string vessels in all capillary plexi, and increased branchpoint density in the parafoveal and peripapillary retina. The confocal images obtained confirm the presence of four vascular plexi in the marmoset retina, and the presence of string vessels, similar to human retinas (35–37, 42). These plexi, from inner to outer retina, are the radial peripapillary capillaries (RPC), superficial capillary plexus (SCP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) (43).
The retina is one of the most energy demanding tissues in the body (44, 45). Several studies suggest that microvasculature changes can be markers of neurological and ocular diseases (35, 46–51), contribute to abnormal blood flow changes (24, 32, 52–54), and compromise vascular integrity resulting in reduced metabolic support (27, 51, 55, 56). In this study, vascular remodeling and plasticity was observed in marmoset retinas with induced myopia, and the changes observed were exacerbated by age. The marmoset (Callithrix jacchus) has been established as an excellent non-human primate model in vision and neuroscience research due to its fast development, small size, diurnal foveated retinas, ease in breeding and handling, and high optical quality eye (7, 16, 19). NHP are critically important for the development of human treatments (15, 17, 18).
Age-related conditions such as Alzheimer’s disease, dementia and hypertension have been associated with changes in ocular microvasculature (35–37, 51, 57, 58). In this study, retinal microvasculature alterations were observed in marmosets induced with myopia. Specifically, an increase in string vessels and branchpoint densities in all capillary plexi at the parafovea and peripapillary retina were observed as myopic marmosets aged. These findings are in line with others seen in the human retina (35–37); string vessels are present in diabetic retinopathy before microvascular changes occur (34), making the identification of string vessels a vital part of vascular disease management. The RPC is considered highly vulnerable to insult and damage due to high metabolic demand of retinal ganglion cells (RGC) (59–61). There is evidence that structural changes to the RPCs are associated with the pathogenesis of age-related RGC axonal loss in humans (62). RPC loss and glaucomatous nerve fiber layer damage has also been identified in patients with chronic glaucoma (63). The increased string vessel and branchpoint density observed in the parafoveal RPC of marmosets induced with myopia suggests that the myopic retinal microvasculature might be experiencing capillary regression and string vessel formation, similarly to that described in several vascular diseases (51, 64–66). There is also evidence of an increase in string vessel formation as a consequence of ganglion cell injury (67), and related to an induced apoptotic phenomenon associated with endothelial cell destruction, attached by macrophages (6).
String vessels are thin connective tissue strands, non-functional remnants of capillaries that do not carry blood flow (36). The presence of string vessels suggests an originally normal-functioning vessel that gradually disappeared after abrupt or chronic ischemia (68), diabetes (34), aging (35), or neurodegenerative disorders (37), among others. While capillary branchpoint density was significantly greater in the RCP of myopic eyes, its density in the SCP, ICP and DCP layers was lower compared to controls. Reduced vessel branching has been associated with decreased retinal blood supply in mice eyes (46, 69), and an aberrant blood vessel development results in decreased density and branching of the capillary network (70). After three weeks of sustained whole-body hypoxia in ten-week-old mice, increased blood vessel branchpoint density have also been shown to be significantly increased (68).
Despite the branchpoint reduction observed in 6 m marmosets, 12 m myopic marmosets showed an increase in retinal string vessels and decrease in peripheral branchpoints. Increased string vessel formation and decreasing number of microvasculature branches have been noted in the normal aging of human cerebral white matter (42, 71–75), and are likely to occur even in the absence of significant neuron loss (37, 71, 73, 76). In the cortical vasculature of 76–81 years old humans with no vascular dementia, there is a decline in capillary surface area and density compared to those of a younger population under 50 years old (77, 78). This indicates the presence of age-related pathology in the cortical microvasculature, that possibly precedes the pathophysiology of vascular disease. Certain microvascular abnormalities may occur prior to development of disease (76), The retina is part of the blood–brain-barrier, and exhibits similar pathological processes as does the cerebrum. Retinal ischemia has been shown to increase the number of string vessels (79), with decreased vascular density in aging animals (33, 70) shown as well.
We also observed an increase in retinal branchpoint density in all four parafoveal vascular layers, and decrease in retinal branchpoint density of the same layers with increasing distance from the optic nerve head, in the 12 m myopic marmosets compared to the values of 6 m myopic marmosets. This is in line with other studies in primate research. Four different capillary networks (the RPC, SCP, ICP, and DCP) with distinct vascular patterns can be found in the control primate and non-primate retina (80), specifically in the macula and peripapillary region (81). In humans, the SCP is highest in the macular regions, and decreases in the periphery (82). The peak vessel density of normal, control SCP of humans is higher than the ICP and DCP in the parafoveal region as well, with the density of the ICP and DCP higher in the periphery than in the SCP (82). All retinal vascular layers in the human eye are densest in the macular/peripapillary region, and reduces in thickness and density with increasing eccentricity (43, 59, 83). During the disease onset of diabetes in human eyes, the density of the SCP, ICP, and DCP progressively decreases toward the periphery, increasing disease severity, and with ganglion cell density decrease (84). In a model of human retinal vascular occlusion, decreased vascular density has been shown in both the superficial and deep vascular networks (85).
In our study, increased age, refractive error, and axial length were associated with increased string vessel density across the SCP, ICP, and DCP retinal vascular layers, and decreased SCP branchpoint density in myopic marmosets. Age appears to exacerbate the effect of myopia on the retinal vasculature, specifically by increasing string vessel density and decreasing branchpoint density with increasing retinal eccentricity. The retinas of older myopes appear to be compensating for increased duration of stress to the vasculature due to the sustained effect of increased myopic growth on the vasculature, and the results shown are in line with previous studies. One study in human myopes showed decreased SCP and DCP vessel densities with age and decreased SCP density with high myopia and longer axial length (22). Another study showed decreased deep vascular plexus density in a human model of high myopia was most associated with high myopia (86). In pathological myopia, alterations to inner retinal microvascular density occur, specifically a decrease in the DCP (87).
Conclusion
The results from this study indicate that aging exacerbates the effects of myopic eye growth on the architectural template of the retinal vasculature at the cellular level, in all four vascular plexi in a NHP model of lens-induced myopia. The restructuring and reorganization found reflects what might be an adaptation to the sustained mechanical stress of myopic eye growth. Collectively, this may be a part of a beneficial adaptive chronic response to maintain the adequate functioning of retinal neurons during ocular growth (31). Alternatively, the changes to the vasculature seen could represent the opposite, a detrimental response indicating the onset of compromised structural and functional support to the retinal neurons that preserve vision (31). The vascular changes seen in this study may precede pathological myopic changes to the retina like myopic neovascularization, further emphasizing the importance of this work.
Our study confirms the feasibility of the marmoset in studying the retinal vasculature. The aim of the study was to evaluate how aging interacts with the effect of myopic eye growth on the structure and distribution of the retinal vasculature. The findings of this study confirm that myopic eyes without pathology exhibit changes to the numbers of string vessels and branchpoint in all four vascular plexi, suggesting that the vasculature is indeed affected by the mechanical stretch induced by myopia. Whether these changes noted are beneficial or harmful, and whether their function diminishes with disease progression, remains to be seen. Future studies will aim to evaluate quantitatively the functional changes to the vasculature with increasing myopia and increasing age.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The animal study was reviewed and approved by IACUC Ethics Committee of SUNY College of Optometry.
Author contributions
CL and AB-P contributed to the conception and design of the study. CL, AT, RA, MS, and AB-P contributed to methodology and data curation. AB-P acquired resources and funding for this study. CL performed the statistical analysis and wrote the original draft of the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the American Academy of Optometry Career Development Award to ABenavente, National Institute of Health’s National Eye Institute T35 grant to CL.
Acknowledgments
The authors would like to thank to Stefanie Wohl for her advice on immunohistochemical techniques, Andrew Koo for his help with figure conceptualization, Hardy Zhou, Brian Song, and Gulnoza Azieva, for their help to treat myopic marmosets, and Ana Nour, Rossy Angel, Xiomara Santiago, and Mirella Camargo for their attention and care to the marmosets included in our study.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Curtin, BJ . The myopias: basic science and clinical management, vol. xv. Philadelphia: Harper & Row (1985). 495 p.
2. Saw, SM, Gazzard, G, Shih-Yen, EC, and Chua, WH. Myopia and associated pathological complications. Ophthalmic Physiol Opt. (2005) 25:381–91. doi: 10.1111/j.1475-1313.2005.00298.x
3. Foster, PJ, and Jiang, Y. Epidemiology of myopia. Eye. (2014) 28:202–8. doi: 10.1038/eye.2013.280
4. Flitcroft, DI, He, M, Jonas, JB, Jong, M, Naidoo, K, Ohno-Matsui, K, et al. IMI-Defining and Classifying Myopia: A Proposed Set of Standards for Clinical and Epidemiologic Studies. Invest Ophthalmol Vis Sci. (2019) 60:M20–30. doi: 10.1167/iovs.18-25957
5. Holden, BA, Fricke, TR, Wilson, DA, Jong, M, Naidoo, KS, Sankaridurg, P, et al. Global Prevalence of Myopia and High Myopia and Temporal Trends from 2000 through 2050. Ophthalmology. (2016) 123:1036–42. doi: 10.1016/j.ophtha.2016.01.006
6. Khan, MH, Lam, AKC, Armitage, JA, Hanna, L, To CH, and Gentle, A. Impact of Axial Eye Size on Retinal Microvasculature Density in the Macular Region. J Clin Med. (2020) 9:2539. doi: 10.3390/jcm9082539
7. Nickla, DL, Wildsoet, CF, and Troilo, D. Diurnal rhythms in intraocular pressure, axial length, and choroidal thickness in a primate model of eye growth, the common marmoset. Invest Ophthalmol Vis Sci. (2002) 43:2519–28.
8. Troilo, D, Nickla, DL, and Wildsoet, CF. Choroidal thickness changes during altered eye growth and refractive state in a primate. Invest Ophthalmol Vis Sci. (2000) 41:1249–58.
9. El-Shazly, AA, Farweez, YA, ElSebaay, ME, and El-Zawahry, WMA. Correlation between choroidal thickness and degree of myopia assessed with enhanced depth imaging optical coherence tomography. Eur J Ophthalmol. (2017) 27:577–84. doi: 10.5301/ejo.5000936
10. Schaeffel, F, and Feldkaemper, M. Animal models in myopia research. Clin Exp Optom. (2015) 98:507–17. doi: 10.1111/cxo.12312
11. Edwards, MH . Animal models of myopia. A review. Acta Ophthalmol Scand. (1996) 74:213–9. doi: 10.1111/j.1600-0420.1996.tb00078.x
12. Chiang, ST, Phillips, JR, and Backhouse, S. Effect of retinal image defocus on the thickness of the human choroid. Ophthalmic Physiol Opt. (2015) 35:405–13. doi: 10.1111/opo.12218
13. Ulaganathan, S, Read, SA, Collins, MJ, and Vincent, SJ. Daily axial length and choroidal thickness variations in young adults: Associations with light exposure and longitudinal axial length and choroid changes. Exp Eye Res. (2019) 189:107850. doi: 10.1016/j.exer.2019.107850
14. Chakraborty, R, Read, SA, and Collins, MJ. Monocular myopic defocus and daily changes in axial length and choroidal thickness of human eyes. Exp Eye Res. (2012) 103:47–54. doi: 10.1016/j.exer.2012.08.002
15. Kishi, N, Sato, K, Sasaki, E, and Okano, H. Common marmoset as a new model animal for neuroscience research and genome editing technology. Develop Growth Differ. (2014) 56:53–62. doi: 10.1111/dgd.12109
16. Benavente-Perez, A, Nour, A, and Troilo, D. Axial eye growth and refractive error development can be modified by exposing the peripheral retina to relative myopic or hyperopic defocus. Invest Ophthalmol Vis Sci. (2014) 55:6765–73. doi: 10.1167/iovs.14-14524
17. Okano, H, Hikishima, K, Iriki, A, and Sasaki, E. The common marmoset as a novel animal model system for biomedical and neuroscience research applications. Semin Fetal Neonatal Med. (2012) 17:336–40. doi: 10.1016/j.siny.2012.07.002
18. Mansfield, K . Marmoset models commonly used in biomedical research. Comp Med. (2003) 53:383–92.
19. Troilo, D, and Judge, SJ. Ocular development and visual deprivation myopia in the common marmoset (Callithrix jacchus). Vis Res. (1993) 33:1311–24. doi: 10.1016/0042-6989(93)90039-Y
20. Golebiewska, J, Biala-Gosek, K, Czeszyk, A, and Hautz, W. Optical coherence tomography angiography of superficial retinal vessel density and foveal avascular zone in myopic children. PLoS One. (2019) 14:e0219785. doi: 10.1371/journal.pone.0219785
21. Coscas, F, Sellam, A, Glacet-Bernard, A, Jung, C, Goudot, M, Miere, A, et al. Normative Data for Vascular Density in Superficial and Deep Capillary Plexuses of Healthy Adults Assessed by Optical Coherence Tomography Angiography. Invest Ophthalmol Vis Sci. (2016) 57:OCT211-23. doi: 10.1167/iovs.15-18793
22. Leng, Y, Tam, EK, Falavarjani, KG, and Tsui, I. Effect of Age and Myopia on Retinal Microvasculature. Ophthalmic Surg Lasers Imaging Retina. (2018) 49:925–31. doi: 10.3928/23258160-20181203-03
23. Lin, C, Toychiev, A, Ablordeppey, R, Slavi, N, Srinivas, M, and Benavente-Perez, A. Myopia Alters the Structural Organization of the Retinal Vasculature, GFAP-Positive Glia, and Ganglion Cell Layer Thickness. Int J Mol Sci. (2022) 23:6202. doi: 10.3390/ijms23116202
24. Benavente-Perez, A, Hosking, SL, Logan, NS, and Broadway, DC. Ocular blood flow measurements in healthy human myopic eyes. Graefes Arch Clin Exp Ophthalmol. (2010) 248:1587–94. doi: 10.1007/s00417-010-1407-9
25. Ning, J, Joshi, N, Franchi-Pereira, R, and Benavente-Perez, A. Longitudinal Evaluation of Choroidal Thickness and Ocular Perfusion Pressure in Progressing Myopes, Baseline Data. Invest Ophthalmol Vis Sci. (2017) 58:1106.
26. Ansel, T, Nour, A, and Benavente-Perez, A. Non-invasive Measurements of Ocular Perfusion Pressure in Marmosets and its Relationship with Myopia Development and Progression. Invest Ophthalmol Vis Sci. (2016) 57:5513.
27. Hawkins, BT, and Davis, TP. The blood-brain barrier/neurovascular unit in health and disease. Pharmacol Rev. (2005) 57:173–85. doi: 10.1124/pr.57.2.4
28. Vecino, E, Rodriguez, FD, Ruzafa, N, Pereiro, X, and Sharma, SC. Glia-neuron interactions in the mammalian retina. Prog Retin Eye Res. (2016) 51:1–40. doi: 10.1016/j.preteyeres.2015.06.003
29. Sapieha, P . Eyeing central neurons in vascular growth and reparative angiogenesis. Blood. (2012) 120:2182–94. doi: 10.1182/blood-2012-04-396846
30. Ramirez, JM, Trivino, A, Ramirez, AI, Salazar, JJ, and Garcia-Sanchez, J. Structural specializations of human retinal glial cells. Vis Res. (1996) 36:2029–36. doi: 10.1016/0042-6989(95)00322-3
31. Maki, T, Hayakawa, K, Pham, LD, Xing, C, Lo, EH, and Arai, K. Biphasic mechanisms of neurovascular unit injury and protection in CNS diseases. CNS Neurol Disord Drug Targets. (2013) 12:302–15. doi: 10.2174/1871527311312030004
32. Al-Sheikh, M, Phasukkijwatana, N, Dolz-Marco, R, Rahimi, M, Iafe, NA, Freund, KB, et al. Quantitative OCT Angiography of the Retinal Microvasculature and the Choriocapillaris in Myopic Eyes. Invest Ophthalmol Vis Sci. (2017) 58:2063–9. doi: 10.1167/iovs.16-21289
33. Zhu, Q, Xing, X, Wang, M, Zhu, M, Ma, L, Yuan, Y, et al. Characterization of the Three Distinct Retinal Capillary Plexuses Using Optical Coherence Tomography Angiography in Myopic Eyes. Transl Vis Sci Technol. (2020) 9:8. doi: 10.1167/tvst.9.4.8
34. Lim, RR, Grant, DG, Olver, TD, Padilla, J, Czajkowski, AM, Schnurbusch, TR, et al. Young Ossabaw Pigs Fed a Western Diet Exhibit Early Signs of Diabetic Retinopathy. Invest Ophthalmol Vis Sci. (2018) 59:2325–38. doi: 10.1167/iovs.17-23616
35. Hunter, JM, Kwan, J, Malek-Ahmadi, M, Maarouf, CL, Kokjohn, TA, Belden, C, et al. Morphological and pathological evolution of the brain microcirculation in aging and Alzheimer's disease. PLoS One. (2012) 7:e36893. doi: 10.1371/journal.pone.0036893
36. Brown, WR, Moody, DM, Thore, CR, Anstrom, JA, and Challa, VR. Microvascular changes in the white mater in dementia. J Neurol Sci. (2009) 283:28–31. doi: 10.1016/j.jns.2009.02.328
37. Challa, VR, Thore, CR, Moody, DM, Anstrom, JA, and Brown, WR. Increase of white matter string vessels in Alzheimer's disease. J Alzheimers Dis. (2004) 6:379–83. doi: 10.3233/JAD-2004-6404
38. Salmon, AB . Moving toward 'common' use of the marmoset as a non-human primate aging model. Pathobiol Aging Age Relat Dis. (2016) 6:32758. doi: 10.3402/pba.v6.32758
39. Nishijima, K, Saitoh, R, Tanaka, S, Ohsato-Suzuki, M, Ohno, T, and Kitajima, S. Life span of common marmoset (Callithrix jacchus) at CLEA Japan breeding colony. Biogerontology. (2012) 13:439–43. doi: 10.1007/s10522-012-9388-1
40. Ross, CN, Davis, K, Dobek, G, and Tardif, SD. Aging Phenotypes of Common Marmosets (Callithrix jacchus). J Aging Res. (2012) 2012:567143. doi: 10.1155/2012/567143
41. Tardif, SD, Mansfield, KG, Ratnam, R, Ross, CN, and Ziegler, TE. The marmoset as a model of aging and age-related diseases. ILAR J. (2011) 52:54–65. doi: 10.1093/ilar.52.1.54
42. Brown, WR . A review of string vessels or collapsed, empty basement membrane tubes. J Alzheimers Dis. (2010) 21:725–39. doi: 10.3233/JAD-2010-100219
43. Snodderly, DM, Weinhaus, RS, and Choi, JC. Neural-vascular relationships in central retina of macaque monkeys (Macaca fascicularis). J Neurosci. (1992) 12:1169–93. doi: 10.1523/JNEUROSCI.12-04-01169.1992
44. Joyal, JS, Gantner, ML, and Smith, LEH. Retinal energy demands control vascular supply of the retina in development and disease: The role of neuronal lipid and glucose metabolism. Prog Retin Eye Res. (2018) 64:131–56. doi: 10.1016/j.preteyeres.2017.11.002
45. Country, MW . Retinal metabolism: A comparative look at energetics in the retina. Brain Res. (2017) 1672:50–7. doi: 10.1016/j.brainres.2017.07.025
46. Cheng, KKW, Tan, BL, Brown, L, Gray, C, Bianchi, E, Dhillon, B, et al. Macular vessel density, branching complexity and foveal avascular zone size in normal tension glaucoma. Sci Rep. (2021) 11:1056. doi: 10.1038/s41598-020-80080-z
47. Jonas, JB, Wang, YX, Dong, L, and Panda-Jonas, S. High Myopia and Glaucoma-Like Optic Neuropathy. Asia Pac J Ophthalmol. (2020) 9:234–8. doi: 10.1097/APO.0000000000000288
48. Suwan, Y, Fard, MA, Geyman, LS, Tantraworasin, A, Chui, TY, Rosen, RB, et al. Association of Myopia With Peripapillary Perfused Capillary Density in Patients With Glaucoma: An Optical Coherence Tomography Angiography Study. JAMA Ophthalmol. (2018) 136:507–13. doi: 10.1001/jamaophthalmol.2018.0776
49. Resch, H, Garhofer, G, Fuchsjager-Mayrl, G, Hommer, A, and Schmetterer, L. Endothelial dysfunction in glaucoma. Acta Ophthalmol. (2009) 87:4–12. doi: 10.1111/j.1755-3768.2007.01167.x
50. Flammer, J, and Orgul, S. Optic nerve blood-flow abnormalities in glaucoma. Prog Retin Eye Res. (1998) 17:267–89. doi: 10.1016/S1350-9462(97)00006-2
51. Buee, L, Hof, PR, Bouras, C, Delacourte, A, Perl, DP, Morrison, JH, et al. Pathological alterations of the cerebral microvasculature in Alzheimer's disease and related dementing disorders. Acta Neuropathol. (1994) 87:469–80. doi: 10.1007/BF00294173
52. Trinh, M, Kalloniatis, M, and Nivison-Smith, L. Vascular Changes in Intermediate Age-Related Macular Degeneration Quantified Using Optical Coherence Tomography Angiography. Transl Vis Sci Technol. (2019) 8:20. doi: 10.1167/tvst.8.4.20
53. Powner, MB, Sim, DA, Zhu, M, Nobre-Cardoso, J, Jones, R, Syed, A, et al. Evaluation of Nonperfused Retinal Vessels in Ischemic Retinopathy. Invest Ophthalmol Vis Sci. (2016) 57:5031–7. doi: 10.1167/iovs.16-20007
54. Yu, DY, and Cringle, SJ. Oxygen distribution and consumption within the retina in vascularised and avascular retinas and in animal models of retinal disease. Prog Retin Eye Res. (2001) 20:175–208. doi: 10.1016/S1350-9462(00)00027-6
55. Castellani, RJ, Smith, MA, Perry, G, and Friedland, RP. Cerebral amyloid angiopathy: major contributor or decorative response to Alzheimer's disease pathogenesis. Neurobiol Aging. (2004) 25:599–602. doi: 10.1016/j.neurobiolaging.2003.12.019
56. Atwood, CS, Bowen, RL, Smith, MA, and Perry, G. Cerebrovascular requirement for sealant, anti-coagulant and remodeling molecules that allow for the maintenance of vascular integrity and blood supply. Brain Res Brain Res Rev. (2003) 43:164–78. doi: 10.1016/S0165-0173(03)00206-6
57. Cheung, CY, Ikram, MK, Sabanayagam, C, and Wong, TY. Retinal microvasculature as a model to study the manifestations of hypertension. Hypertension. (2012) 60:1094–103. doi: 10.1161/HYPERTENSIONAHA.111.189142
58. Mroczkowska, S, Benavente-Perez, A, Patel, S, Qin, L, Bentham, P, and Gherghel, D. Retinal vascular dysfunction relates to cognitive impairment in Alzheimer disease. Alzheimer Dis Assoc Disord. (2014) 28:366–7. doi: 10.1097/WAD.0b013e3182a2e221
59. Henkind, P . Symposium on glaucoma: joint meeting with the National Society for the Prevention of Blindness. New observations on the radial peripapillary capillaries. Investig Ophthalmol. (1967) 6:103–8.
60. Yu, PK, Balaratnasingam, C, Xu, J, Morgan, WH, Mammo, Z, Han, S, et al. Label-Free Density Measurements of Radial Peripapillary Capillaries in the Human Retina. PLoS One. (2015) 10:e0135151. doi: 10.1371/journal.pone.0135151
61. Yu, PK, Cringle, SJ, and Yu, DY. Quantitative study of age-related endothelial phenotype change in the human vortex vein system. Microvasc Res. (2014) 94:64–72. doi: 10.1016/j.mvr.2014.05.004
62. Mammo, Z, Heisler, M, Balaratnasingam, C, Lee, S, Yu, DY, Mackenzie, P, et al. Quantitative Optical Coherence Tomography Angiography of Radial Peripapillary Capillaries in Glaucoma, Glaucoma Suspect, and Normal Eyes. Am J Ophthalmol. (2016) 170:41–9. doi: 10.1016/j.ajo.2016.07.015
63. Kornzweig, AL, Eliasoph, I, and Feldstein, M. Selective atrophy of the radial peripapillary capillaries in chronic glaucoma. Arch Ophthalmol. (1968) 80:696–702. doi: 10.1001/archopht.1968.00980050698002
64. Tilton, RG, Miller, EJ, Kilo, C, and Williamson, JR. Pericyte form and distribution in rat retinal and uveal capillaries. Invest Ophthalmol Vis Sci. (1985) 26:68–73.
65. Tilton, RG, Hoffmann, PL, Kilo, C, and Williamson, JR. Pericyte degeneration and basement membrane thickening in skeletal muscle capillaries of human diabetics. Diabetes. (1981) 30:326–34. doi: 10.2337/diab.30.4.326
66. Kuwabara, T, Carroll, JM, and Cogan, DG. Retinal vascular patterns. III. Age, hypertension, absolute glaucoma, injury. Arch Ophthalmol. (1961) 65:708–16. doi: 10.1001/archopht.1961.01840020710019
67. Schluter, A, Aksan, B, Diem, R, Fairless, R, and Mauceri, D. VEGFD Protects Retinal Ganglion Cells and, consequently, Capillaries against Excitotoxic Injury. Mol Ther Methods Clin Dev. (2020) 17:281–99. doi: 10.1016/j.omtm.2019.12.009
68. Taylor, AC, Seltz, LM, Yates, PA, and Peirce, SM. Chronic whole-body hypoxia induces intussusceptive angiogenesis and microvascular remodeling in the mouse retina. Microvasc Res. (2010) 79:93–101. doi: 10.1016/j.mvr.2010.01.006
69. Bucher, F, Stahl, A, Agostini, HT, and Martin, G. Hyperoxia causes reduced density of retinal astrocytes in the central avascular zone in the mouse model of oxygen-induced retinopathy. Mol Cell Neurosci. (2013) 56:225–33. doi: 10.1016/j.mcn.2013.06.001
70. Ehling, M, Adams, S, Benedito, R, and Adams, RH. Notch controls retinal blood vessel maturation and quiescence. Development. (2013) 140:3051–61. doi: 10.1242/dev.093351
71. Brown, WR, and Thore, CR. Review: cerebral microvascular pathology in ageing and neurodegeneration. Neuropathol Appl Neurobiol. (2011) 37:56–74. doi: 10.1111/j.1365-2990.2010.01139.x
72. Challa, VR, Thore, CR, Moody, DM, Brown, WR, and Anstrom, JA. A three-dimensional study of brain string vessels using celloidin sections stained with anti-collagen antibodies. J Neurol Sci. (2002) 203-204:165–7. doi: 10.1016/s0022-510x(02)00284-8
73. Hassler, O . Vascular changes in senile brains. A micro-angiographic study. Acta Neuropathol. (1965) 5:40–53. doi: 10.1007/BF00689161
75. Bell, MA, and Ball, MJ. Morphometric comparison of hippocampal microvasculature in ageing and demented people: diameters and densities. Acta Neuropathol. (1981) 53:299–318. doi: 10.1007/BF00690372
76. Bailey, TL, Rivara, CB, Rocher, AB, and Hof, PR. The nature and effects of cortical microvascular pathology in aging and Alzheimer's disease. Neurol Res. (2004) 26:573–8. doi: 10.1179/016164104225016272
77. Bussiere, T, Gold, G, Kovari, E, Giannakopoulos, P, Bouras, C, Perl, DP, et al. Stereologic analysis of neurofibrillary tangle formation in prefrontal cortex area 9 in aging and Alzheimer's disease. Neuroscience. (2003) 117:577–92. doi: 10.1016/S0306-4522(02)00942-9
78. Hof, PR, Bussiere, T, Gold, G, Kovari, E, Giannakopoulos, P, Bouras, C, et al. Stereologic evidence for persistence of viable neurons in layer II of the entorhinal cortex and the CA1 field in Alzheimer disease. J Neuropathol Exp Neurol. (2003) 62:55–67. doi: 10.1093/jnen/62.1.55
79. Reinecke, RD, Kuwabara, T, Cogan, DG, and Weis, DR. Retinal vascular patterns. V. Experimental ischemia of the cat eye. Arch Ophthalmol. (1962) 67:470–5. doi: 10.1001/archopht.1962.00960020470015
80. Provis, JM . Development of the primate retinal vasculature. Prog Retin Eye Res. (2001) 20:799–821. doi: 10.1016/S1350-9462(01)00012-X
81. Stone, J, van Driel, D, Valter, K, Rees, S, and Provis, J. The locations of mitochondria in mammalian photoreceptors: relation to retinal vasculature. Brain Res. (2008) 1189:58–69. doi: 10.1016/j.brainres.2007.10.083
82. Campbell, JP, Zhang, M, Hwang, TS, Bailey, ST, Wilson, DJ, Jia, Y, et al. Detailed Vascular Anatomy of the Human Retina by Projection-Resolved Optical Coherence Tomography Angiography. Sci Rep. (2017) 7:42201. doi: 10.1038/srep42201
83. Alterman, M, and Henkind, P. Radial peripapillary capillaries of the retina. II. Possible role in Bjerrum scotoma. Br J Ophthalmol. (1968) 52:26–31. doi: 10.1136/bjo.52.1.26
84. Lavia, C, Mece, P, Nassisi, M, Bonnin, S, Marie-Louise, J, Couturier, A, et al. Retinal Capillary Plexus Pattern and Density from Fovea to Periphery Measured in Healthy Eyes with Swept-Source Optical Coherence Tomography Angiography. Sci Rep. (2020) 10:1474. doi: 10.1038/s41598-020-58359-y
85. Samara, WA, Shahlaee, A, Sridhar, J, Khan, MA, Ho, AC, and Hsu, J. Quantitative Optical Coherence Tomography Angiography Features and Visual Function in Eyes With Branch Retinal Vein Occlusion. Am J Ophthalmol. (2016) 166:76–83. doi: 10.1016/j.ajo.2016.03.033
86. Cheng, D, Chen, Q, Wu, Y, Yu, X, Shen, M, Zhuang, X, et al. Deep perifoveal vessel density as an indicator of capillary loss in high myopia. Eye. (2019) 33:1961–8. doi: 10.1038/s41433-019-0573-1
Keywords: myopia, string vessels, vasculature, marmoset, branchpoints, retina
Citation: Lin CR, Toychiev A, Ablordeppey RK, Srinivas M and Benavente-Perez A (2023) Age exacerbates the effect of myopia on retinal capillaries and string vessels. Front. Med. 10:1112396. doi: 10.3389/fmed.2023.1112396
Edited by:
Doina Gherghel, Aston University, United KingdomReviewed by:
Christine Cheung, Nanyang Technological University, SingaporePablo De Gracia, University of Detroit Mercy, United States
Copyright © 2023 Lin, Toychiev, Ablordeppey, Basciano, Srinivas and Benavente-Perez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alexandra Benavente-Perez, abenavente@sunyopt.edu