Skip to main content
PMC home page
Scientific Reports logoLink to Scientific Reports
. 2019 Oct 16;9:14852. doi: 10.1038/s41598-019-51281-y

Normal tension glaucoma-like degeneration of the visual system in aged marmosets

Takahiko Noro 1,2,3, Kazuhiko Namekata 1, Atsuko Kimura 1, Yuriko Azuchi 1, Nanako Hashimoto 4, Keiko Moriya-Ito 4,5, Yuji Komaki 2, Chia-Ying Lee 2, Norio Okahara 2, Xiaoli Guo 1, Chikako Harada 1, Euido Kim 1,3, Tadashi Nakano 3, Hiroshi Tsuneoka 3, Takashi Inoue 2, Erika Sasaki 2, Hironobu Tokuno 5, Takayuki Harada 1,✉
PMCID: PMC6795850  PMID: 31619716

Abstract

The common marmoset (Callithrix jacchus) is a non-human primate that provides valuable models for neuroscience and aging research due to its anatomical similarities to humans and relatively short lifespan. This study was carried out to examine whether aged marmosets develop glaucoma, as seen in humans. We found that 11% of the aged marmosets presented with glaucoma-like characteristics; this incident rate is very similar to that in humans. Magnetic resonance imaging showed a significant volume loss in the visual cortex, and histological analyses confirmed the degeneration of the lateral geniculate nuclei and visual cortex in the affected marmosets. These marmosets did not have elevated intraocular pressure, but showed an increased oxidative stress level, low cerebrospinal fluid (CSF) pressure, and low brain-derived neurotrophic factor (BDNF) and TrkB expression in the retina, optic nerve head and CSF. Our findings suggest that marmosets have potential to provide useful information for the research of eye and the visual system.

Subject terms: Retinal diseases, Experimental models of disease

Introduction

The elderly population is growing worldwide as life expectancy drastically increases1, creating new challenges related to the fact that aging is a risk factor for a variety of chronic conditions, including neurodegenerative diseases2. The incidence rate of glaucoma, a neurodegenerative disease of the eye characterized by a slow progressive degeneration of retinal ganglion cells (RGCs) and their axons, also increases with aging3. Glaucoma is one of the major causes of blindness and it is estimated that this disease will affect more than 80 million people worldwide by 20204. Unfortunately, current therapy is insufficient to restore sight lost due to glaucoma. The disease is usually associated with elevated intraocular pressure (IOP). The common adult-onset glaucoma is primary open-angle glaucoma (POAG), which is frequently caused by a reduction in outflow of aqueous humor through the trabecular outflow pathways5. Meanwhile, normal tension glaucoma (NTG), a subset of POAG that indicates statistically normal IOP, also shows glaucomatous optic neuropathy and a characteristic visual field defect. Several population studies have suggested that NTG represents 20%–90% of all POAG, with percentages seeming to vary according to race6–8. Since some glaucoma patients do not benefit from lowering of IOP, including NTG patients, factors other than elevated IOP may contribute to disease progress. Therefore, elucidation of such non-IOP dependent factors would be necessary to understand the pathogenesis of glaucoma and guide toward improved therapeutics.

In many studies, rodents have been the experimental animals of choice. Mouse models of disease are very useful and provide important information, but anatomical differences between rodents and humans mean that using a model more closely related to humans is desirable. With regard to glaucoma, we previously reported genetically modified mouse models of NTG9,10. These and other rodent models have contributed greatly to further understanding of this disease and exploring new therapeutic strategies11. However, one of the key structures involved in glaucoma, namely the lamina cribrosa (LC), is absent in mice, suggesting that use of animals that possess LC, such as non-human primates, could provide great value in glaucoma research.

The common marmoset (Callithrix jacchus), a small new world primate, is becoming increasingly attractive as an experimental animal model, particularly in neuroscience research12. Like humans, the common marmoset is diurnal, and its brain and eyes are structurally well developed. Their compact lifespan (10–15 years, with a maximum lifespan of approximately 20 years) allows monitoring of the effects of aging or progressive disease over a relatively short period of time, from 8 years of age onward13, making them ideal for aging research.

In this study, we examined the eyes of 36 aged marmosets and found that 11% of them presented with spontaneous NTG. This is the first study to thoroughly examine the glaucoma-like pathology in living marmosets and we found a high resemblance between marmoset and human glaucoma.

Results

NTG-like optic nerve and retinal degeneration in aged marmosets

In this study, we monitored 36 aged (average age 11.3 years; Supplementary Table 1). Ophthalmoscopy was used for screening for increased excavation and thinning of the neuroretinal rim, which are hallmarks of glaucoma (dotted lines in Fig. 1a–e). The optic cup/disc ratio of >0.5 was subjected to further analysis by in vivo imaging with spectral-domain optical coherence tomography (SD-OCT). Strikingly, we found that out of 36 aged marmosets, 12 eyes (7 animals) presented with glaucoma-like characteristics, in which in vivo imaging with SD-OCT demonstrated that 6 eyes (4 animals) showed the cup/disc ratio of >0.65 (Supplementary Movies 1 and 2)14. These 4 marmosets are hereafter referred to as glaucomatous marmosets (Fig. 1b–e). SD-OCT demonstrated that the thinning of the LC and ganglion cell complex (GCC) were apparent in glaucomatous marmosets (Fig. 2a–c). In order to determine if the retinal degeneration reflects functional aspects, we investigated retinal function using multifocal electroretinogram (mfERG). The second-order kernel, which is impaired in patients with glaucoma, was analyzed as previously reported9,15–17. The response topography demonstrated that the average retinal responses of glaucomatous marmosets were reduced compared with controls (Fig. 2d,e). Histological examinations confirmed the thinning of the LC and GCC (Fig. 2f–j), which were consistent with the data from SD-OCT (Fig. 2a–c).

Figure 1.

Figure 1

Open in a new tab

Evaluation of ocular fundus images of marmosets. (a) Ocular fundus photographs of aged control marmoset (No. 30 in Supplementary Table 1). (b–e) Ocular fundus photographs of glaucomatous marmosets. No. 33 (b), No. 34 (c), No. 35 (d), and No. 36 (e). Optic disc cuppings are outlined by dashed lines and the cup/disc ratio are shown in parentheses. The edge of the cupping was traced from the 3D images of the optic nerve head obtained by OCT and the lines were superimposed on the fundus photograph.

Figure 2.

Figure 2

Open in a new tab

Degeneration of the optic nerve and retina, and impaired retinal function in glaucomatous marmosets. (a) In vivo imaging of the optic disc by vertical scan through the centre of the optic disc by SD-OCT. Arrowheads indicate the cupping of the optic disc and dotted lines indicate the LC. LC: lamina cribrosa, GCC: ganglion cell complex. (b,c) Quantitative analysis of the thickness of the LC (b) and GCC (c). n = 28 (aged) and 6 (glaucoma). (d) Three-dimensional plots of the retinal responses as examined by multifocal electroretinogram (mfERG). A higher score (white) indicates highly sensitive visual function. Values are given in nV per square degree (nV/deg2). (e) Quantitative analysis of the visual responses. n = 28 (aged) and 6 (glaucoma). (f) H&E staining of the optic nerve head. Enhanced optic disc cupping (arrowheads) and thinning of the LC (dotted lines) are apparent in the glaucomatous marmoset. Scale bar: 200 µm. (g) Quantitative analysis of the LC thickness. n = 3 per group. (h) H&E staining of the retina. Inner retinal degeneration is observed in the glaucomatous marmoset. The mid-peripheral region is shown. Scale bar: 100 µm. GCL: ganglion cell layer. (i,j) Quantitative analysis of the cell number in the GCL (i) and GCC thickness (j). n = 3 per group. The data are presented as means ± S.E.M. *P < 0.05; **P < 0.01, ***P < 0.001.

The angle of the anterior chamber was normal in glaucomatous marmosets (Fig. 3a–d) as were the axial lengths of the eyeballs (Fig. 3e), suggesting that the abnormalities in the optic disc of glaucomatous marmosets were not due to angle closure or high myopia18. In addition, the iridocorneal angle in glaucomatous marmosets was well formed with an obvious Schlemm’s canal (Fig. 3f). The IOP in glaucomatous marmosets was similar to that in aged controls (Fig. 3g). In addition, the cerebrospinal fluid (CSF) pressure of glaucomatous marmosets was lower compared with controls (Fig. 3h). We next examined the ophthalmic arterial blood flow using color Doppler imaging. Resistive index is a useful measure of vascular damage. In humans, resistive index correlates with aging, visual impairment observed in NTG patients and systemic atherosclerosis19–21. Resistive index is calculated by [1 – (EDV/PSV)], where PSV is the peak systolic velocity and EDV is the end diastolic velocity (Fig. 3i). We found that the resistive index in aged controls was significantly higher than that in glaucomatous marmosets (Fig. 3j). These data indicate that arteriosclerosis, an aging hallmark in human, can be monitored in marmoset eyes in a non-invasive method in vivo, allowing objective evaluation of changes associated with disease. Taken together, by these criteria, the glaucomatous marmosets present with pathology comparable to human NTG.

Figure 3.

Figure 3

Open in a new tab

Pathological features resembling human normal tension glaucoma in aged marmosets. (a,b) In vivo imaging of the anterior chamber by SD-OCT. Illustration of the parameters measured in the anterior chamber (a). The iridocorneal angle in the glaucomatous marmoset is wide open and comparable to that in aged marmoset (b). ACA: anterior chamber angle, AOD: angle opening distance. (c,d) Quantitative analyses of ACA (c) and AOD750 (d) in aged and glaucomatous marmosets. n = 28 (aged) and 6 (glaucoma). (e) Quantitative analysis of the axial length in aged and glaucomatous marmosets using a color Doppler imaging scanner. n = 30 (aged) and 6 (glaucoma). (f) H&E staining of aqueous humor drainage structures in aged (left) and glaucomatous (right) marmosets. The iridocorneal angle in the glaucomatous marmoset is normal with an obvious Schlemm’s canal (arrow) and trabecular meshwork. Scale bar: 200 µm. (g) The IOP of aged and glaucomatous marmosets. IOP: intraocular pressure. n = 63 (aged) and 6 (glaucoma). (h) The CSF pressure of aged and glaucomatous marmosets. CSF: cerebrospinal fluid. n = 6 (aged) and 3 (glaucoma). (i) Representative images of the flow velocity of the ophthalmic artery using a color Doppler imaging scanner. PSV: peak systolic velocity, EDV: end diastolic velocity. (j) Quantitative analysis of the resistive index. The resistive index was calculated according to the following formula: Resistive index = 1 – (EDV / PSV). n = 24 (aged) and 5 (glaucoma). The data are presented as means ± S.E.M. *P < 0.05; **P < 0.01.

We next examined whether these marmosets possessed any gene mutations associated with glaucoma: MYOC, OPTN and WDR36 (encoding the proteins myocilin, optineurin and WD repeat domain 36, respectively)22–25. Genetic analyses of glaucomatous marmosets did not find mutations in the aforementioned genes (Fig. 4), indicating that these marmosets present with spontaneous NTG, which is the most common form of human NTG.

Figure 4.

Figure 4

Open in a new tab

Genomic analysis of glaucomatous marmosets for glaucoma associated genes. (a) A single base substitution in the MYOC gene was identified in the glaucomatous marmoset (No. 34 in Supplementary Table 1). However, this is a silent mutation: a single base mutation that does not alter protein production. (b) A domain structure of the human MYOC gene with indication of the mutations associated with glaucoma. All the reported human mutation sites of the MYOC gene were analysed in the glaucomatous marmosets (No. 33–36). Gene mutations associated with glaucoma were not detected. SP: signal peptide, HtH: helix-turn-helix, CC: coiled coil, GD: globular domain, OD: olfactmedin domain. (c,d) Domain structures of human OPTN (c) and WDR36 (d) genes and location of identified mutations. All the reported human mutation sites of the OPTN gene and exons 8, 11, 13, and 17 of the WDR36 gene were analysed in the glaucomatous marmosets (No. 33–36). Gene mutations associated with glaucoma were not detected. CC: coiled coil, LZ: leucine zipper, LIR: LC3-interacting region, UBD: ubiquitin-binding domain, ZF: zinc finger, WD: WD repeat domain.

Disease progression of a glaucomatous marmoset during a one-year follow-up

When we followed up with one of the glaucomatous marmosets after 12 months, its non-diseased eye had also developed glaucoma-like features (No. 34 in Supplementary Table 1). Fundus imaging at an initial examination (Year 0) detected optic disc cupping and vascular abnormalities (bending and relocation) around the cupping region in the left eye, while the right eye appeared comparable to a normal aged marmoset eye (Fig. 5a). One year later (Year 1), we found that optic disc cupping and relocation of the blood vessels were more prominent in the left eye and interestingly, the right eye also showed glaucoma-like changes (Fig. 5a). In vivo imaging with SD-OCT visualized clear optic disc cupping in the left eye at Year 0 and its exacerbation at Year 1, while the right eye developed glaucoma-like characteristics between Year 0 and 1 (Fig. 5b,c). Furthermore, reduction in the thickness of the GCC and LC was observed in the left eye at Year 0, which was further decreased at Year 1, and for the right eye, the thickness of the GCC and LC was comparable to the aged group at Year 0, but it was reduced at Year 1 (Fig. 5c–e). We next determined changes in visual function over one year. Electrophygiological responses from the left eye were lower than average aged marmosets at Year 0 and they further decreased at Year 1, while the responses from the right eye at Year 0 were comparable with average aged marmosets, but they were reduced at Year 1 (Fig. 5f,g). Unfortunately, we were unable to follow up the other 3 glaucomatous marmosets due to their old age and need for other experiments. Taken together, these data indicate that this marmoset presents with binocular glaucoma-like degeneration. Such laterality is also observed in human glaucoma and is a useful trait from an experimental point of view because the vulnerable eye can be used to examine if a novel therapeutic strategy is capable of preventing disease onset or progression.

Figure 5.

Figure 5

Open in a new tab

Follow-up studies of a glaucomatous marmoset over 12 months. (a) Ocular fundus photographs of initial examination (Year 0) and one year later (Year 1) in the glaucomatous marmoset (No. 34 in Supplementary Table 1). Dotted lines indicate the cupping of the optic disc. (b) Quantitative analysis of the vertical cup/disc ratio. R: right eye, L: left eye, Y0: year 0, Y1: year 1. (c) In vivo imaging of the optic disc by the horizontal and vertical scan through the centre of the optic disc by SD-OCT. Arrowheads indicate the cupping of the optic disc and dotted lines indicate the LC. (d) Longitudinal evaluations of the GCC thickness by a circular scan around the optic disc by SD-OCT. (e) Quantitative analysis of the LC thickness by cross-sectional images of the optic disc by SD-OCT. (f) Three-dimensional plots of the retinal responses as examined by mfERG. Values are given in nV per square degree (nV/deg2). (g) Quantitative analysis of the visual responses in (f).

Effects of glaucoma-like retinal degeneration on the central visual system in marmosets

The visual pathway relays information from the retina to the lateral geniculate nuclei (LGN), then LGN to the primary visual cortex. Recent studies suggest a possibility that progressive glaucoma induces not only RGC death and optic nerve axon loss, but also neurodegeneration throughout the central visual system such as the LGN and primary visual cortex26. Since the brain of a marmoset is more complex than rodents and more similar to humans27–29, marmosets are a good model for studying the brain pathology. We therefore explored any changes in the brain of the glaucomatous marmosets.

In vivo imaging with magnetic resonance imaging (MRI) and voxel-based morphometry (VBM) from a total of 7 marmosets revealed significant volume loss in the primary visual cortex, also known as the visual area 1 (V1) in the glaucomatous marmosets compared with controls (Fig. 6a). These imaging profiles and those of advanced POAG patients are strikingly similar30. Studies suggest that in the LGN, the magnocellular (M) layer is damaged earlier than the parvocellular (P) layer in glaucoma patients31,32. When we examined the cell number in the M- and P-layers, we found that the cell number in the M layer in glaucomatous marmosets was significantly decreased compared with controls, while the cell number in the P layer was not altered in glaucomatous marmosets (Fig. 6b,c). We further examined the layer 4 of the primary visual cortex, and found that the cell number in the layer 4 in glaucomatous marmosets was significantly decreased compared with controls (Fig. 6d,e). Our data captured atrophy of the central visual system in glaucomatous marmosets both in vivo and histologically.

Figure 6.

Figure 6

Open in a new tab

Degeneration of the central visual system in glaucomatous marmosets. (a) Volume loss in the primary visual cortex, also known as visual area 1 (V1) in the glaucomatous marmosets comparison with normal aged controls. The color scale bar in voxel-wise statistics indicates the t-score and the areas of the gray matter with significant volume reduction were superimposed on the template brain (P < 0.001, Student’s t test). n = 4 (aged) and 3 (glaucoma). Scale bar: 10 mm. (b) Representative images of coronal sections of the lateral geniculate nuclei (LGN) (upper) and magnified images of the magnocellular (M)- and parvocellular (P)-layers of the LGN (area No. 7) in aged and glaucomatous marmosets (lower). Scale bar: 1 mm and 100 µm for upper and lower panels, respectively. (c) Quantitative analyses of the cell number in the LGN. n = 3 per group. (d) Representative images of coronal sections of the visual cortex (upper) and magnified images of the layer 4 of the visual cortex in aged and glaucomatous marmosets. Scale bar: 1 mm and 50 µm for upper and lower panels, respectively. (e) Quantitative analyses of the cell number in the layer 4 of the visual cortex. n = 3 per group. The data are presented as means ± S.E.M. ***P < 0.001.

Oxidative stress is increased and brain-derived neurotrophic factor (BDNF) and TrkB are decreased in glaucomatous marmosets

Oxidative stress is one of the pathogenic factors in glaucoma33,34. Therefore, we examined the oxidative stress levels of glaucomatous marmosets by measuring expression of 4-hydroxy-2-nonenal (4-HNE). Retinal expression of 4-HNE, particularly at the inner retina, was remarkably high in glaucomatous marmosets (Fig. 7a,b). Similarly, blood 4-HNE expression in glaucomatous marmosets was significantly higher than that in controls (Fig. 7c). We also examined the blood levels of the antioxidant glutathione (GSH), a reduction of which is observed in glaucoma patients35. The blood GSH level was significantly decreased in glaucomatous marmosets (Fig. 7d).

Figure 7.

Figure 7

Open in a new tab

Increased oxidative stress and decreased BDNF/TrkB expression in glaucomatous marmosets. (a) 4-HNE expression in the retina detected by immunohistochemistry. Scale bar: 100 µm. (b) Quantitative analyses of the intensity of 4-HNE. n = 3 per group. (c) 4-HNE expression in the blood detected by immunoblot analyses. n = 9 (aged) and 3 (glaucoma). (d) GSH concentrations in the blood. n = 4 (aged) and 3 (glaucoma). (e) BDNF and TrkB in the optic nerve head (ONH) and retina detected by immunohistochemistry. Scale bar: 100 µm. (f,g) Quantitative analyses of the intensity of BDNF (f) and TrkB (g). n = 3 per group. (h) BDNF concentrations in the CSF. n = 3 per group. The data are presented as means ± S.E.M. *P < 0.05; **P < 0.01, ***P < 0.001.

The BDNF-TrkB signalling pathway plays a major role in neuroprotection, particularly for RGCs36,37. BDNF is reduced with aging in humans38 and reduction of BDNF and its receptor TrkB is observed in glaucoma patients39. Consistent with these reports, the BDNF and TrkB expression levels in the optic nerve head and retina, particularly in the inner retina, were significantly decreased in glaucomatous marmosets (Fig. 7e–g). We also measured the BDNF level in the CSF and found that it was significantly lower in glaucomatous marmosets than in controls (Fig. 7h). These results indicate that some of the key biochemical changes associated with human glaucoma are observed in glaucomatous marmosets.

Discussion

Herein, we report that approximately 11% of aged marmosets examined presented with spontaneous NTG; a rate very similar to that found in humans. To our knowledge, this is the first report to map retinal structure and function in the same subject in the common marmoset. The major advantage of marmosets over mice as a model for studying eye diseases is that they possess the LC and the macula, neither of which are present in mice11,40. In glaucomatous marmosets, reduction in the LC thickness and atrophy of the primary visual cortex, which are consistent with human glaucoma patients, were detected41,42. Furthermore, the short lifespan of marmosets compared with other non-human primates is another advantage. We found that unilateral optic neuropathy developed into severe bilateral glaucoma within one year; such disease progression is also observed in human glaucoma, but over a much longer time period. The aging processes occurring over the course of 5 years in marmosets may be equivalent to the processes occurring over 10 years in macaques and 25 years in humans (these are estimations based on their respective lifespans).

Systemic oxidative stress levels are associated with decreased ocular blood flow in NTG patients34,40,43. Our data suggest the presence of decreased blood flow and increased oxidative stress in glaucomatous marmosets. Furthermore, we found that the expression levels of BDNF and TrkB are reduced in the optic nerve head and retina in glaucomatous marmosets, consistent with the data gathered from observation of human glaucoma patients39. However, other researchers previously reported accumulation of TrkB at the optic nerve head in an experimental glaucoma model using cynomolgus monkeys (Macaca fascicularis)44. These discrepancies may have arisen due to the difference between the spontaneous (chronic) and experimental (acute) glaucoma, and/or due to the difference in the age of the experimental animals; they examined juvenile monkeys while we examined aged marmosets. Neurotrophins are a therapeutic candidate for glaucoma and studies show that BDNF eye-drops rescue visual responses in DBA/2J mice, a mouse model with high IOP glaucoma45,46. BDNF gene therapy may be useful for patients who show decreased BDNF levels, and recent development in gene therapy that increases both BDNF and TrkB expression appears very promising47. Interestingly, gene therapy with ciliary neurotrophic factor (CNTF) was very effective in experimental rat glaucoma48 and topical application of nerve growth factor (NGF) improved visual function in glaucoma patients49, suggesting trophic factors may be useful for the treatment of glaucoma. In fact, clinical trials are underway for encapsulated cell therapy with CNTF, and for recombinant human NGF eyedrops (ClinicalTrials.gov Identifier: NCT02862938 and NCT02855450). It is possible that non-IOP targeting drugs for treatment of glaucoma will be clinically available very soon.

In this study, we found aged marmosets that develop NTG-like retinal degeneration naturally, and we demonstrate that the pathological features are similar in marmoset and human glaucoma. Unfortunately, the incidence of these naturally occurring NTG marmosets may be too low to be an effective animal model for testing therapeutic interventions. Excitingly, generation of the transgenic marmoset was recently reported50,51 and this technology will be a powerful tool for medical research of various diseases. We have previously reported that the loss of glutamate transporters in mice leads to phenotypes similar to NTG9, and we are now planning to target these genes and generate marmoset models of NTG. Genetic manipulation of the common marmoset raises high hopes for great advances in medicine and will no doubt provide a beneficial outcome for public health.

Methods

Animals

Experiments were performed using 36 (15 male and 21 female) adult common marmosets (Callithrix jacchus) (Supplementary Table 1). Marmosets were derived from a breeding colony at the Tokyo Metropolitan Institute of Medical Science and Central Institute for Experimental Animals. Animal experiments were approved by the Institutional Animal Care and Use Committee of the Tokyo Metropolitan Institute of Medical Science (Approval number TMiMS: 16082) and the Central Institute for Experimental Animals (Approval number CIEA: 16055A). All animals were handled with care and all animal experiments were performed in accordance with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research and the guidelines for the care and use of animals at both institutes. Experiments were performed under anaesthesia as previously reported52,53. The IOP measurements were made using an applanation tonometer (Tono-Pen XL, Medtronic Solan, Jacksonville, FL, USA), as previously reported54,55. We could not measure IOP in one eye (No. 12; an aged marmoset) due to corneal opacity.

Ophthalmoscopy, SD-OCT and mfERG

Pupils were dilated with 0.5% phenylephrine hydrochloride and 0.5% tropicamide. Ophthalmoscopy for screening marmoset eyes was performed with an ophthalmoscope (OMEGA 500, HEINE Optotechnik, Herrsching, Germany). Ocular fundus photographs were obtained using a small animal fundus camera (Genesis-D, Kowa, Tokyo, Japan). SD-OCT (RS-3000, Nidek, Aichi, Japan) examinations were performed as previously described55,56 with some modifications. A 40-D adaptor lens was placed on the objective lens of the multiline OCT to focus on the marmoset retina. For imaging of the retinal layers, line scans and circular scans around the optic disc were performed, and the thickness of the GCC was measured. In the disc map 3D scans, optic nerve head analysis was conducted to calculate the vertical cup to disc ratio57,58.

In the disc map 3D scans, optic nerve head analysis was conducted using both automatic and manual definitions of the disc margin with the instrument’s software. The disc circumference was determined by tracing the inner edge of retinal pigment epithelium. Then, parallel to this circle and 175 µm towards the vitreous body, the cup circumference was determined at the point that intersect with the inner limiting membranes58.

The thickness of the LC was measured by cross-sectional images of the optic disc and calculated with the instrument’s software as previously reported59. The images of the anterior chamber were taken in a bright room by using the same SD-OCT with an anterior segment adaptor. Measurement of the anterior chamber angle (ACA) and angle opening distance (AOD) were calculated with the instrument’s software as previously reported60,61. AOD was determined by the length of a line drawn from the anterior iris to the corneal endothelium, perpendicular to a line drawn along the trabecular meshwork at a given distance from the scleral spur. AOD750 was calculated at 750 µm from the scleral spur and ACA was calculated as the angle of the previous two lines (Fig. 3a).

mfERGs were recorded using a VERIS 6.0 system (Electro-Diagnostic Imaging, Redwood City, CA, USA) as previously reported9,55,56 with modifications. A contact electrode (Mayo, Nagoya, Japan) was used and the visual stimulus consisted of 61 hexagonal areas scaled with eccentricity.

Measurement of the axial length

After the placement of an eyelid speculum to a marmoset, a sterile ophthalmic gel was applied to the cornea, and the B-mode probe was placed on the gel to obtain the horizontal axial scan passing through the optic nerve and macula using a color Doppler imaging scanner (Aplio 300, Toshiba, Tokyo, Japan). The length between the corneal cap and macula was estimated with the instrument’s software.

Collection and analysis of CSF

A twenty-seven-gauge butterfly needle connected to a manometer was inserted in the cisterna cerebellomedularis of a marmoset, a manometer was held up and then the CSF pressure was measured by recording the height meniscus of CSF in the manometer tube62. CSF collection was performed as previously reported63. During the collection, the marmoset was placed in a prone position, and the back of the head and the neck were kept at level. The BDNF concentration in the CSF was measured using an assay kit DBD00 (R&D, Minneapolis, MN, USA) according to the manufacturer’s protocol.

Doppler imaging of the ophthalmic artery

The flow velocity of the ophthalmic artery of a marmoset was determined using a color Doppler imaging scanner (Aplio 300, Toshiba). Throughout the entire procedure, the systolic blood pressure (117.8 ± 7.5 mmHg), diastolic blood pressure (65.4 ± 6.2 mmHg) and heart rate (164.6 ± 9.4 beats/min) were measured automatically64.

Genotyping from marmoset fingernails

DNA from marmoset blood cannot be used for genetic analyses as hematopoietic cells are exchanged between siblings in utero, resulting in chimerism65,66. Therefore, we extracted DNA from marmoset fingernails67. We collected fingernails without the hyponychium. Approximately 1.5- or 2-mm fingernail fragments were clipped from the finger claw. The crude DNA solution was extracted from each sample using the alkaline lysis method. A piece of fingernail was immersed in a 100 µl aliquot of 50 mM NaOH and boiled at 95 °C for 10 min. Then, 10 µ1 of 1 M Tris-HCl (pH 8.0) was added and mixed. This crude DNA extracted solution was used as the DNA source. PCR was performed with the KOD FX polymerase (Toyobo, Osaka, Japan), using the sense and antisense primers described in Supplementary Table 2. PCR products were sequenced using a Big Dye V3.1 Terminator Kit (Applied Biosystems, Foster City, CA, USA) and an ABI Prism 3100 DNA sequencer (Applied Biosystems). Major genetic abnormalities in human glaucoma (MYOC, OPTN and WDR36) were examined in glaucoma marmosets with reference to the GenBank as standard DNA data (GenBank accession number; XM_008985025, XM_002750043 and XM_008991713, respectively). Based on previous reports, we searched for the following mutations (Fig. 4): MYOC- Gly367Arg68, Gln368Ter, Pro370Leu69, Thr377Met70, Lys423Glu71, Val426Phe72, Cys433Arg73, Ile477Asn74 and Asn480Lys75; OPTN- His26Asp76, Glu50Lys, Met98Lys, Arg545Gln24, Glu103Asp, His486Arg77, Ala336Gly and Ala377Thr78; WDR36- Asn355Ser, Ala449Thr, Arg529Gln and Asp658Gly79.

In vivo imaging of the brain

MRI study and VBM analysis of the brain were carried out in 7 marmosets (Supplementary Table 1) as previously reported80. All MRIs were performed using a 7-T Biospec 70/16 MRI system (Bruker, Billerica, MA, USA). VBM analysis was performed with SPM12 (Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology). Modulated normalization images of the grey matter were obtained with diffeomorphic anatomical registration through exponentiated lie algebra (DARTEL), multiplied by the Jacobian determinants derived from the spatial normalization, and were used to evaluate the local tissue volume of the grey matter. Finally, the group difference between the glaucomatous marmosets and aged controls of gray matter volume were examined voxel-wise using the two-sample t-test model in the SPM12 software with sex and age of subjects added to the model as covariates. Areas of the brain that demonstrated significant differences between groups were visualized by the SPM12 software with a pseudo-color.

Histological and morphometric studies

Paraffin sections (7 µm-thick) of eyeball specimens were cut through the optic nerve and of optic nerves were cut cross-sectionally, then stained with hematoxylin and eosin (H&E). The cell number in the GCL was counted from one ora serrata through the optic nerve to the other ora serrata. as previously described81,82. Five sections per eye were counted and the average values are presented. The GCC and LC thickness were analysed with the microscope software (Keyence BZ-2 system, Keyence, Osaka, Japan). Brain specimens were serially sliced into coronal sections (30 µm) on a freezing microtome and stained with cresyl violet for Nissl staining83. To estimate the level of degeneration in the central visual system, the cell density in the M- and P-layers in the LGN and the layer 4 in the visual cortex (Brodmann area 4C) were quantified by counting all cells located within the area 370 × 270 × 30 µm29,84. Total cell counts were derived from the average of four regions per layer in the LGN28,29 and three regions in layer 4 of the visual cortex in each of the three adjacent sample sections, and performed automatically with the microscope software (Keyence).

Immunohistochemistry

Frozen sections (10 µm) were incubated with a primary antibody against 4-HNE (1:200; MHN-100P, Japan Institute for the Control of Aging, Shizuoka, Japan), BDNF (1:200; sc-546, Santa Cruz, Santa Cruz, CA, USA) or TrkB (1:200; sc-8316, Santa Cruz). Immunofluorescence was imaged using a BX51 microscope (Olympus, Tokyo, Japan) and the intensities of 4-HNE, BDNF and TrkB at the optic nerve head and inner retina were analysed using a NIH ImageJ software 1.46r (http://imagej.nih.gov/ij/; provided in the public domain by the National Institutes of Health, Bethesda, MD, USA)85. Three sections per eye were analysed and the fluorescent images in each sample were collected under the same relative gain and threshold settings.

GSH and 4-HNE assays

The GSH concentration in the blood was measured using an assay kit STA-312 (Cell Biolabs, San Diego, CA, USA) according to the manufacturer’s protocol. The 4-HNE expression in the blood was examined by immunoblot analysis with an antibody against 4-HNE (1:1000). The intensity of 4-HNE was analysed using a NIH ImageJ software 1.46r.

Statistics

Data are presented as means ± SEM. All data collection was performed blind to sample identity. When statistical analyses were performed, the Student’s t-test was used. P < 0.05 was regarded as statistically significant. JMP version 13.1.0 (SAS Institute Inc., Cary, NC, USA) was used for the statistical analyses. We indicated one eye as n = 1 and so the n does not reflect on the number of animals. This is because glaucoma-like characteristics were often observed in one eye and not the other of the same animal. This phenomenon that glaucoma-like degeneration does not occur in both eyes at the same time is also commonly seen in humans.

Supplementary information

Supplementary Information (5.2MB, pdf)

Acknowledgements

Dr. Hironobu Tokuno established a colony of common marmosets at the Tokyo Metropolitan Institute of Medical Science and made significant contributions to marmoset neuroscience research. Sadly, he passed away in August of 2015. We are grateful to K. Okabe, M. Kunitomo and S. Ihara for their technical assistance. This work was supported in part by JSPS KAKENHI Grants-in-Aid for Scientific Research (JP17K11499 to T Noro; JP16K08635 to KN; JP17K07123 to AK; JP16K07076 to XG; JP16K11308 to CH; JP15H02360 to ES; JP15H04999 and JP18K19625 to TH), Grant-in-Aid for Scientific Research A from the Japan Agency for Medical Research and Development (AMED) (the Strategic Research Program for Brain Science “Maintenance of Systems for Creation and Spread of Primate Model Animals”, Brain/MINDS) (ES), the Uehara Memorial Foundation, the Taiju Life Social Welfare Foundation and the Takeda Science Foundation (TH).

Author contributions

T. Noro, K.N., A.K., E.S., H. Tokuno and T.H. designed the experiments and wrote the paper. Y.A., N.H., K.M-I., Y.K., C.-Y.L., N.O., X.G., C.H., E.K., T. Nakano, H. Tsuneoka and T.I. organised or conducted the experiments and acquired data. All authors analysed data and reviewed the manuscript.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

is available for this paper at 10.1038/s41598-019-51281-y.

References

  • 1.Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet. 2009;374:1196–1208. doi: 10.1016/S0140-6736(09)61460-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wyss-Coray T. Ageing, neurodegeneration and brain rejuvenation. Nature. 2016;539:180–186. doi: 10.1038/nature20411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Leske MC, et al. Risk factors for incident open-angle glaucoma: the Barbados Eye Studies. Ophthalmology. 2008;115:85–93. doi: 10.1016/j.ophtha.2007.03.017. [DOI] [PubMed] [Google Scholar]
  • 4.Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol. 2006;90:262–267. doi: 10.1136/bjo.2005.081224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Weinreb RN, Khaw PT. Primary open-angle glaucoma. Lancet. 2004;363:1711–1720. doi: 10.1016/S0140-6736(04)16257-0. [DOI] [PubMed] [Google Scholar]
  • 6.Klein BE, et al. Prevalence of glaucoma. The Beaver Dam Eye Study. Ophthalmology. 1992;99:1499–1504. doi: 10.1016/S0161-6420(92)31774-9. [DOI] [PubMed] [Google Scholar]
  • 7.Bonomi L, et al. Prevalence of glaucoma and intraocular pressure distribution in a defined population. The Egna-Neumarkt Study. Ophthalmology. 1998;105:209–215. doi: 10.1016/S0161-6420(98)92665-3. [DOI] [PubMed] [Google Scholar]
  • 8.Iwase A, et al. The prevalence of primary open-angle glaucoma in Japanese: the Tajimi Study. Ophthalmology. 2004;111:1641–1648. doi: 10.1016/j.ophtha.2004.03.029. [DOI] [PubMed] [Google Scholar]
  • 9.Harada T, et al. The potential role of glutamate transporters in the pathogenesis of normal tension glaucoma. J. Clin. Invest. 2007;117:1763–1770. doi: 10.1172/JCI30178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sano, H. et al. Differential effects of N-acetylcysteine on retinal degeneration in two mouse models of normal tension glaucoma. Cell Death Dis. 10, 75 (2019). [DOI] [PMC free article] [PubMed]
  • 11.Roska B, Sahel JA. Restoring vision. Nature. 2018;557:359–367. doi: 10.1038/s41586-018-0076-4. [DOI] [PubMed] [Google Scholar]
  • 12.Okano H, et al. Brain/MINDS: A Japanese national brain project for marmoset neuroscience. Neuron. 2016;92:582–590. doi: 10.1016/j.neuron.2016.10.018. [DOI] [PubMed] [Google Scholar]
  • 13.Ross CN, Davis K, Dobek G, Tardif SD. Aging phenotypes of common marmosets (Callithrix jacchus) J Aging Res. 2012;2012:567143. doi: 10.1155/2012/567143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Garway-Heath DF, Ruben ST, Viswanathan A, Hitchings RA. Vertical cup/disc ratio in relation to optic disc size: its value in the assessment of the glaucoma suspect. Br. J. Ophthalmol. 1998;82:1118–1124. doi: 10.1136/bjo.82.10.1118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Akaiwa K, et al. Edaravone suppresses retinal ganglion cell death in a mouse model of normal tension glaucoma. Cell Death Dis. 2017;8:e2934. doi: 10.1038/cddis.2017.341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Harada C, et al. ASK1 deficiency attenuates neural cell death in GLAST-deficient mice, a model of normal tension glaucoma. Cell Death Differ. 2010;17:1751–1759. doi: 10.1038/cdd.2010.62. [DOI] [PubMed] [Google Scholar]
  • 17.Sutter EE, Bearse MA., Jr. The optic nerve head component of the human ERG. Vision Res. 1999;39:419–436. doi: 10.1016/S0042-6989(98)00161-8. [DOI] [PubMed] [Google Scholar]
  • 18.Hollands H, et al. Do findings on routine examination identify patients at risk for primary open-angle glaucoma? The rational clinical examination systematic review. JAMA. 2013;309:2035–2042. doi: 10.1001/jama.2013.5099. [DOI] [PubMed] [Google Scholar]
  • 19.Baxter GM, Williamson TH. Color Doppler imaging of the eye: normal ranges, reproducibility, and observer variation. J. Ultrasound Med. 1995;14:91–96. doi: 10.7863/jum.1995.14.2.91. [DOI] [PubMed] [Google Scholar]
  • 20.Yamazaki Y, Hayamizu F. Comparison of flow velocity of ophthalmic artery between primary open angle glaucoma and normal tension glaucoma. Br. J. Ophthalmol. 1995;79:732–734. doi: 10.1136/bjo.79.8.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Maruyoshi H, et al. Waveform of ophthalmic artery Doppler flow predicts the severity of systemic atherosclerosis. Circ. J. 2010;74:1251–1256. doi: 10.1253/circj.CJ-09-0866. [DOI] [PubMed] [Google Scholar]
  • 22.Sheffield VC, et al. Genetic linkage of familial open angle glaucoma to chromosome 1q21–q31. Nat. Genet. 1993;4:47–50. doi: 10.1038/ng0593-47. [DOI] [PubMed] [Google Scholar]
  • 23.Stone EM, et al. Identification of a gene that causes primary open angle glaucoma. Science. 1997;275:668–670. doi: 10.1126/science.275.5300.668. [DOI] [PubMed] [Google Scholar]
  • 24.Rezaie T, et al. Adult-onset primary open-angle glaucoma caused by mutations in optineurin. Science. 2002;295:1077–1079. doi: 10.1126/science.1066901. [DOI] [PubMed] [Google Scholar]
  • 25.Fan BJ, Wiggs JL. Glaucoma: genes, phenotypes, and new directions for therapy. J. Clin. Invest. 2010;120:3064–3072. doi: 10.1172/JCI43085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yucel YH, Gupta N. A framework to explore the visual brain in glaucoma with lessons from models and man. Exp. Eye Res. 2015;141:171–178. doi: 10.1016/j.exer.2015.07.004. [DOI] [PubMed] [Google Scholar]
  • 27.Rosa MG, Fritsches KA, Elston GN. The second visual area in the marmoset monkey: visuotopic organisation, magnification factors, architectonical boundaries, and modularity. J. Comp. Neurol. 1997;387:547–567. doi: 10.1002/(SICI)1096-9861(19971103)387:4&#x0003c;547::AID-CNE6&#x0003e;3.0.CO;2-2. [DOI] [PubMed] [Google Scholar]
  • 28.White AJ, Wilder HD, Goodchild AK, Sefton AJ, Martin PR. Segregation of receptive field properties in the lateral geniculate nucleus of a New-World monkey, the marmoset Callithrix jacchus. J. Neurophysiol. 1998;80:2063–2076. doi: 10.1152/jn.1998.80.4.2063. [DOI] [PubMed] [Google Scholar]
  • 29.Paxinos, G., Watson, C., Petrides, M., Rosa, M. & Tokuno, H. The marmoset brain in stereotaxic coordinates, First edition edn. Academic Press/ Elsevier: MA, USA (2012).
  • 30.Zhang S, et al. Retinotopic Changes in the Gray Matter Volume and Cerebral Blood Flow in the Primary Visual Cortex of Patients With Primary Open-Angle Glaucoma. Invest. Ophthalmol. Vis. Sci. 2015;56:6171–6178. doi: 10.1167/iovs.15-17286. [DOI] [PubMed] [Google Scholar]
  • 31.Sun H, Swanson WH, Arvidson B, Dul MW. Assessment of contrast gain signature in inferred magnocellular and parvocellular pathways in patients with glaucoma. Vision Res. 2008;48:2633–2641. doi: 10.1016/j.visres.2008.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wen W, et al. A novel motion-on-color paradigm for isolating magnocellular pathway function in preperimetric glaucoma. Invest. Ophthalmol. Vis. Sci. 2015;56:4439–4446. doi: 10.1167/iovs.15-16394. [DOI] [PubMed] [Google Scholar]
  • 33.Tezel G. Oxidative stress in glaucomatous neurodegeneration: mechanisms and consequences. Prog. Retin. Eye Res. 2006;25:490–513. doi: 10.1016/j.preteyeres.2006.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kimura A, et al. Targeting oxidative stress for treatment of glaucoma and optic neuritis. Oxid. Med. Cell. Longev. 2017;2017:2817252. doi: 10.1155/2017/2817252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gherghel D, Mroczkowska S, Qin L. Reduction in blood glutathione levels occurs similarly in patients with primary-open angle or normal tension glaucoma. Invest. Ophthalmol. Vis. Sci. 2013;54:3333–3339. doi: 10.1167/iovs.12-11256. [DOI] [PubMed] [Google Scholar]
  • 36.Almasieh M, Wilson AM, Morquette B, Cueva Vargas JL, Di Polo A. The molecular basis of retinal ganglion cell death in glaucoma. Prog. Retin. Eye Res. 2012;31:152–181. doi: 10.1016/j.preteyeres.2011.11.002. [DOI] [PubMed] [Google Scholar]
  • 37.Harada C, et al. Glia- and neuron-specific functions of TrkB signalling during retinal degeneration and regeneration. Nat Commun. 2011;2:189. doi: 10.1038/ncomms1190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Li G, et al. Cerebrospinal fluid concentration of brain-derived neurotrophic factor and cognitive function in non-demented subjects. PLoS One. 2009;4:e5424. doi: 10.1371/journal.pone.0005424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gupta V, et al. BDNF impairment is associated with age-related changes in the inner retina and exacerbates experimental glaucoma. Biochim. Biophys. Acta. 2014;1842:1567–1578. doi: 10.1016/j.bbadis.2014.05.026. [DOI] [PubMed] [Google Scholar]
  • 40.Harada C, Kimura A, Guo X, Namekata K, Harada T. Recent advances in genetically modified animal models of glaucoma and their roles in drug repositioning. Br. J. Ophthalmol. 2019;103:161–166. doi: 10.1136/bjophthalmol-2018-312724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Gupta N, Ang LC, Noel de Tilly L, Bidaisee L, Yucel YH. Human glaucoma and neural degeneration in intracranial optic nerve, lateral geniculate nucleus, and visual cortex. Br. J. Ophthalmol. 2006;90:674–678. doi: 10.1136/bjo.2005.086769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Omodaka K, et al. 3D evaluation of the lamina cribrosa with swept-source optical coherence tomography in normal tension glaucoma. PLoS One. 2015;10:e0122347. doi: 10.1371/journal.pone.0122347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Himori N, et al. The association between systemic oxidative stress and ocular blood flow in patients with normal-tension glaucoma. Graefes Arch. Clin. Exp. Ophthalmol. 2016;254:333–341. doi: 10.1007/s00417-015-3203-z. [DOI] [PubMed] [Google Scholar]
  • 44.Pease ME, McKinnon SJ, Quigley HA, Kerrigan-Baumrind LA, Zack DJ. Obstructed axonal transport of BDNF and its receptor TrkB in experimental glaucoma. Invest. Ophthalmol. Vis. Sci. 2000;41:764–774. [PubMed] [Google Scholar]
  • 45.Libby RT, et al. Inherited glaucoma in DBA/2J mice: pertinent disease features for studying the neurodegeneration. Vis. Neurosci. 2005;22:637–648. doi: 10.1017/S0952523805225130. [DOI] [PubMed] [Google Scholar]
  • 46.Domenici L, et al. Rescue of retinal function by BDNF in a mouse model of glaucoma. PLoS One. 2014;9:e115579. doi: 10.1371/journal.pone.0115579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Osborne A, et al. Neuroprotection of retinal ganglion cells by a novel gene therapy construct that achieves sustained enhancement of brain-derived neurotrophic factor/tropomyosin-related kinase receptor-B signaling. Cell Death Dis. 2018;9:1007. doi: 10.1038/s41419-018-1041-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Pease ME, et al. Effect of CNTF on retinal ganglion cell survival in experimental glaucoma. Invest. Ophthalmol. Vis. Sci. 2009;50:2194–2200. doi: 10.1167/iovs.08-3013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Lambiase A, et al. Experimental and clinical evidence of neuroprotection by nerve growth factor eye drops: Implications for glaucoma. Proc. Natl. Acad. Sci. USA. 2009;106:13469–13474. doi: 10.1073/pnas.0906678106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Sasaki E, et al. Generation of transgenic non-human primates with germline transmission. Nature. 2009;459:523–527. doi: 10.1038/nature08090. [DOI] [PubMed] [Google Scholar]
  • 51.Sato K, et al. Generation of a nonhuman primate model of severe combined immunodeficiency using highly efficient genome editing. Cell Stem Cell. 2016;19:127–138. doi: 10.1016/j.stem.2016.06.003. [DOI] [PubMed] [Google Scholar]
  • 52.Tokuno H, Moriya-Ito K, Tanaka I. Experimental techniques for neuroscience research using common marmosets. Exp. Anim. 2012;61:389–397. doi: 10.1538/expanim.61.389. [DOI] [PubMed] [Google Scholar]
  • 53.Akaiwa K, et al. Topical ripasudil suppresses retinal ganglion cell death in a mouse model of normal tension glaucoma. Invest. Ophthalmol. Vis. Sci. 2018;59:2080–2089. doi: 10.1167/iovs.17-23276. [DOI] [PubMed] [Google Scholar]
  • 54.Nickla DL, Wildsoet CF, 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;43:2519–2528. [PubMed] [Google Scholar]
  • 55.Noro T, et al. Spermidine ameliorates neurodegeneration in a mouse model of normal tension glaucoma. Invest. Ophthalmol. Vis. Sci. 2015;56:5012–5019. doi: 10.1167/iovs.15-17142. [DOI] [PubMed] [Google Scholar]
  • 56.Semba K, et al. Renin-angiotensin system regulates neurodegeneration in a mouse model of normal tension glaucoma. Cell Death Dis. 2014;5:e1333. doi: 10.1038/cddis.2014.296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.He L, et al. Longitudinal detection of optic nerve head changes by spectral domain optical coherence tomography in early experimental glaucoma. Invest. Ophthalmol. Vis. Sci. 2014;55:574–586. doi: 10.1167/iovs.13-13245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Leung CK, et al. Analysis of retinal nerve fiber layer and optic nerve head in glaucoma with different reference plane offsets, using optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 2005;46:891–899. doi: 10.1167/iovs.04-1107. [DOI] [PubMed] [Google Scholar]
  • 59.Lee EJ, Kim TW, Weinreb RN. Reversal of lamina cribrosa displacement and thickness after trabeculectomy in glaucoma. Ophthalmology. 2012;119:1359–1366. doi: 10.1016/j.ophtha.2012.01.034. [DOI] [PubMed] [Google Scholar]
  • 60.Pavlin CJ, Harasiewicz K, Foster FS. Ultrasound biomicroscopy of anterior segment structures in normal and glaucomatous eyes. Am. J. Ophthalmol. 1992;113:381–389. doi: 10.1016/S0002-9394(14)76159-8. [DOI] [PubMed] [Google Scholar]
  • 61.Leung CK, et al. Dynamic analysis of dark-light changes of the anterior chamber angle with anterior segment OCT. Invest. Ophthalmol. Vis. Sci. 2007;48:4116–4122. doi: 10.1167/iovs.07-0010. [DOI] [PubMed] [Google Scholar]
  • 62.Doherty CM, Forbes RB. Diagnostic Lumbar Puncture. Ulster Med. J. 2014;83:93–102. [PMC free article] [PubMed] [Google Scholar]
  • 63.Geretschlager E, Russ H, Mihatsch W, Przuntek H. Suboccipital puncture for cerebrospinal fluid in the common marmoset (Callithrix jacchus) Lab. Anim. 1987;21:91–94. doi: 10.1177/002367728702100201. [DOI] [PubMed] [Google Scholar]
  • 64.Satilmis M, Orgul S, Doubler B, Flammer J. Rate of progression of glaucoma correlates with retrobulbar circulation and intraocular pressure. Am. J. Ophthalmol. 2003;135:664–669. doi: 10.1016/S0002-9394(02)02156-6. [DOI] [PubMed] [Google Scholar]
  • 65.Benirschke K, Anderson JM, Brownhill LE. Marrow chimerism in marmosets. Science. 1962;138:513–515. doi: 10.1126/science.138.3539.513. [DOI] [PubMed] [Google Scholar]
  • 66.Ross CN, French JA, Orti G. Germ-line chimerism and paternal care in marmosets (Callithrix kuhlii) Proc. Natl. Acad. Sci. USA. 2007;104:6278–6282. doi: 10.1073/pnas.0607426104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Takabayashi S, Katoh H. Noninvasive genotyping of common marmoset (Callithrix jacchus) by fingernail PCR. Primates. 2015;56:235–240. doi: 10.1007/s10329-015-0466-2. [DOI] [PubMed] [Google Scholar]
  • 68.Vincent AL, et al. Digenic inheritance of early-onset glaucoma: CYP1B1, a potential modifier gene. Am. J. Hum. Genet. 2002;70:448–460. doi: 10.1086/338709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Wiggs JL, et al. Prevalence of mutations in TIGR/Myocilin in patients with adult and juvenile primary open-angle glaucoma. Am. J. Hum. Genet. 1998;63:1549–1552. doi: 10.1086/302098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Mackey DA, et al. Glaucoma phenotype in pedigrees with the myocilin Thr377Met mutation. Arch. Ophthalmol. 2003;121:1172–1180. doi: 10.1001/archopht.121.8.1172. [DOI] [PubMed] [Google Scholar]
  • 71.Morissette J, et al. Homozygotes carrying an autosomal dominant TIGR mutation do not manifest glaucoma. Nat. Genet. 1998;19:319–321. doi: 10.1038/1203. [DOI] [PubMed] [Google Scholar]
  • 72.Lim P, Lichter PR, Higashi M, Downs CA, Richards JE. Septuagenarian’s phenotype leads to ascertainment of familial MYOC gene mutation. J. Glaucoma. 2003;12:98–103. doi: 10.1097/00061198-200304000-00002. [DOI] [PubMed] [Google Scholar]
  • 73.de Vasconcellos JP, de Melo MB, Schimiti R, Costa FF, Costa VP. Penetrance and phenotype of the Cys433Arg myocilin mutation in a family pedigree with primary open-angle glaucoma. J. Glaucoma. 2003;12:104–107. doi: 10.1097/00061198-200304000-00003. [DOI] [PubMed] [Google Scholar]
  • 74.Fingert JH, et al. Analysis of myocilin mutations in 1703 glaucoma patients from five different populations. Hum. Mol. Genet. 1999;8:899–905. doi: 10.1093/hmg/8.5.899. [DOI] [PubMed] [Google Scholar]
  • 75.Adam MF, et al. Recurrent mutations in a single exon encoding the evolutionarily conserved olfactomedin-homology domain of TIGR in familial open-angle glaucoma. Hum. Mol. Genet. 1997;6:2091–2097. doi: 10.1093/hmg/6.12.2091. [DOI] [PubMed] [Google Scholar]
  • 76.Fuse N, et al. Molecular genetic analysis of optineurin gene for primary open-angle and normal tension glaucoma in the Japanese population. J. Glaucoma. 2004;13:299–303. doi: 10.1097/00061198-200408000-00007. [DOI] [PubMed] [Google Scholar]
  • 77.Leung YF, et al. Different optineurin mutation pattern in primary open-angle glaucoma. Invest. Ophthalmol. Vis. Sci. 2003;44:3880–3884. doi: 10.1167/iovs.02-0693. [DOI] [PubMed] [Google Scholar]
  • 78.Weisschuh N, Neumann D, Wolf C, Wissinger B, Gramer E. Prevalence of myocilin and optineurin sequence variants in German normal tension glaucoma patients. Mol. Vis. 2005;11:284–287. [PubMed] [Google Scholar]
  • 79.Monemi S, et al. Identification of a novel adult-onset primary open-angle glaucoma (POAG) gene on 5q22.1. Hum. Mol. Genet. 2005;14:725–733. doi: 10.1093/hmg/ddi068. [DOI] [PubMed] [Google Scholar]
  • 80.Hikishima K, et al. Voxel-based morphometry of the marmoset brain: In vivo detection of volume loss in the substantia nigra of the MPTP-treated Parkinson’s disease model. Neuroscience. 2015;300:585–592. doi: 10.1016/j.neuroscience.2015.05.041. [DOI] [PubMed] [Google Scholar]
  • 81.Harada C, et al. Role of apoptosis signal-regulating kinase 1 in stress-induced neural cell apoptosis in vivo. Am. J. Pathol. 2006;168:261–269. doi: 10.2353/ajpath.2006.050765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Noro T, et al. Spermidine promotes retinal ganglion cell survival and optic nerve regeneration in adult mice following optic nerve injury. Cell Death Dis. 2015;6:e1720. doi: 10.1038/cddis.2015.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Moriya-Ito K, Tanaka I, Umitsu Y, Ichikawa M, Tokuno H. The olfactory bulb and the number of its glomeruli in the common marmoset (Callithrix jacchus) Neurosci. Res. 2015;93:158–163. doi: 10.1016/j.neures.2014.12.007. [DOI] [PubMed] [Google Scholar]
  • 84.Weber AJ, Chen H, Hubbard WC, Kaufman PL. Experimental glaucoma and cell size, density, and number in the primate lateral geniculate nucleus. Invest. Ophthalmol. Vis. Sci. 2000;41:1370–1379. [PubMed] [Google Scholar]
  • 85.Kimura A, et al. Valproic acid prevents retinal degeneration in a murine model of normal tension glaucoma. Neurosci. Lett. 2015;588:108–113. doi: 10.1016/j.neulet.2014.12.054. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (5.2MB, pdf)

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES