Back to Journals » Eye and Brain » Volume 16

Differences and Similarities Between Primary Open Angle Glaucoma and Primary Angle-Closure Glaucoma

Authors Wang Y, Guo Y, Zhang Y, Huang S, Zhong Y

Received 9 April 2024

Accepted for publication 29 August 2024

Published 17 September 2024 Volume 2024:16 Pages 39—54

DOI https://doi.org/10.2147/EB.S472920

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Rustum Karanjia



Yiwei Wang,1 Yanzhi Guo,1 Yang Zhang,1 Shouyue Huang,1 Yisheng Zhong1,2

1Author Affiliations Department of Ophthalmology, Ruijin Hospital Affiliated Medical School, Shanghai Jiao tong University, Shanghai, 200025, People’s Republic of China; 2Author affiliations Department of Ophthalmology, Wuxi Branch of Ruijin Hospital Affiliated Medical School, Shanghai Jiao tong University, Wuxi, People’s Republic of China

Correspondence: Yisheng Zhong; Shouyue Huang, Email [email protected]; [email protected]

Abstract: Glaucoma is the leading cause of irreversible blindness worldwide. It is an ocular disease characterized by an increase in intraocular pressure or, in some cases, normal intraocular pressure, which leads to optic nerve damage and progressive constriction of the visual field (VF). Primary Open-Angle Glaucoma (POAG) and Primary Angle-Closure Glaucoma (PACG) represent the predominant forms of glaucoma. Numerous hypotheses have been posited to elucidate the pathogenic mechanisms underlying these conditions. There is an emerging understanding of the distinct pathological processes that differentiate the various types of glaucoma. While some similarities in the mechanisms between PACG and POAG have been suggested, evidence indicates that there are also significant differences between the two. This review synthesizes the similarities and differences in the etiology of optic neuropathy caused by POAG and PACG, considering their respective pathophysiological mechanisms, the morphology of the optic disc and surrounding tissues, genetic characteristics, optical coherence tomography angiography, optical coherence tomography, and structural and functional features from VF examinations. These characteristics may contribute to a deeper comprehension of the underlying pathogenesis of glaucoma and enhance the management of different types of this ocular condition.

Keywords: pathophysiology, lamina cribrosa, optic nerve head, visual field

Introduction

The glaucoma encompasses a collection of optic neuropathies distinguished by the gradual deterioration of retinal ganglion cells (RGCs). Based on the configuration of the anterior chamber angle, primary glaucoma can be classified into two types: primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG). It is projected that the global prevalence of glaucoma will escalate from an estimated 64.3 million individuals in 2013 to 111.8 million by the year 2040.1 The combined worldwide prevalence of POAG is estimated to be 3.05%, whereas that of PACG stands at 0.50%.2 Findings indicate that the incidence of POAG is significantly higher among individuals of African descent, while the incidence of PACG is most prevalent among the Asian population.3

PACG is categorized into two distinct forms: the acute subtype, which is characterized by a sudden closure of the anterior chamber angle accompanied by a rapid increase in Intraocular Pressure (IOP), and the chronic subtype, which involves a gradual closure of the anterior chamber angle with a slow rise in IOP or the formation of peripheral anterior synechiae.4 These two subtypes are commonly referred to as Acute Angle-Closure Glaucoma (AACG) and Chronic Angle-Closure Glaucoma (CACG), respectively. It has been thought that there might be differences in the pattern of optic nerve damage in PACG and POAG. Normal Tension Glaucoma (NTG) is recognized as a subtype of open-angle glaucoma, where IOP measurements consistently remain at or below 21 mmHg.5 There exists an ongoing debate regarding the classification of NTG, with some questioning whether it should be considered a variant within the spectrum of POAG or as a separate disease entity. Despite this, NTG is distinguished by several unique characteristics when compared to POAG. These include risk factors for the development of NTG that are independent of IOP, specific patterns of structural and functional damage, and a distinct disease progression.

It has been thought that there might be differences in the pattern of optic nerve damage in PACG and POAG. In this comprehensive review, we have delineated the comparative analysis of optic nerve damage in PACG and POAG, examining both structural and functional aspects. The discussion encompasses a detailed examination of the commonalities and disparities in the pathophysiological mechanisms leading to optic nerve injury in these two prevalent forms of glaucoma.

Methods

This review conducted a literature search on articles published before 2023 through the PubMed database and Google Scholar with one or a combination of the search terms and excluded other glaucoma types that were not part of the PACG and POAG.

Pathophysiology

The regulation of IOP relies on the equilibrium between the production and drainage of aqueous humor. Aqueous humor is generated by the non-pigmented ciliary epithelium within the ciliary processes, then it flows into the posterior chamber, passes through the pupil, and continues to the anterior chamber and the trabecular meshwork. Additionally, a portion of the aqueous humor is drained via the uveoscleral pathway.6 It is widely recognized that elevated IOP is a significant risk factor for the development and advancement of glaucomatous optic neuropathy in both forms of primary glaucoma.7–9 IOP reduction is the only proved clinical therapy to slow down glaucoma progression.10,11

Nevertheless, when it comes to the underlying pathogenic mechanisms, PACG is distinct from POAG. The traditional mechanisms of PACG can be primarily categorized into two types: pupillary block and non-pupillary block, with pupillary block being the predominant and well-known mechanism. In certain eyes, the iris and lens may come into apposition, hindering the passage of aqueous humor through the pupil into the anterior chamber. This scenario, termed pupillary block, results in an accumulation of aqueous humor behind the iris, causing it to protrude forward and make contact with the trabecular meshwork, thereby impeding the outflow (Figure 1). Non-pupillary block factors encompass a thick peripheral iris, a peripheral iris positioned anteriorly, a ciliary body that is rotated anteriorly, and a plateau iris.12 There are also some hypotheses that propose choroidal expansion contributes to angle closure,13,14 but this claim is controversial. The anterior segment of the eye, characterized by an abnormal anatomy that includes a shallow anterior chamber depth, a thicker lens, a lens positioned more anteriorly, a smaller corneal diameter, or a shorter ocular axis, leads to structural congestion in the anterior segment. This congestion augments the likelihood of PACG development.12,15,16 Angle closure is the primary fundamental problem in PACG, while elevated IOP is secondary to angle closure.

Figure 1 The Anatomical Characteristics of Primary Angle-Closure Glaucoma. In Primary Angle-Closure Glaucoma (PACG), the pupillary block mechanism is characterized by the posterior surface of the iris adhering to the lens, which impedes the circulation of aqueous humor. This leads to a forward protrusion of the iris, resulting in a narrowing or even closure of the anterior chamber angle.

Conversely, in the case of POAG, the resistance to the outflow of aqueous humor through the trabecular meshwork (TM) is heightened.10 When the angle remains open but the TM is obstructed, the aqueous humor is unable to drain properly, leading to an accumulation within the anterior chamber (Figure 2). This situation results in elevated IOP, which is believed to exert pressure on the optic nerve. Such compression can lead to the death of nerve cells and a consequent, incremental deterioration of the visual field (VF). The principal site of outflow resistance in this pathway is the TM, including the inner wall of Schlemm’s canal (SC)17 (Table 1).

Table 1 Similarities and Differences About Pathophysiology Between PACG and POAG

Figure 2 The Anatomical Characteristics of Primary Open Angle Glaucoma. In Primary Open-Angle Glaucoma (POAG), the anterior chamber angle remains open, with the primary resistance to aqueous humor circulation being localized at the trabecular meshwork.

Structure and Function

Glaucoma, both in its POAG and PACG forms, is characterized by a reduction in retinal nerve fiber layer (RNFL) and progressive loss of VF, which are hallmark features of the disease. The relationship between functional vision loss and structural changes in the optic nerve head (ONH) and retinal ganglion cells (RGCs) is a hallmark for the diagnosis of glaucoma. Typically, functional vision loss occurs subsequent to structural alterations. It is estimated that up to 40% of the retinal nerve fibers may be damaged before discernible changes in the VF are observed.18

Manassakorn et al19 compared the patterns of RNFL thickness (RNFLT) loss in PACG and POAG with different severity levels. In contrast, patients with mild POAG exhibited deeper and more localized RNFL defects, while mild PACG eyes showed a more generalized reduction in RNFLT, with the PACG group having a higher average RNFLT than the POAG group. Patients with moderate or advanced stages of either condition demonstrated a similar pattern of diffuse RNFL thinning. Corresponding to the changes in the RNFL, alterations in the VF are also a certainty in glaucoma.

However, the pattern of VF loss in PACG has been reported to differ from that observed in POAG.20,21 Lee et al22 conducted a prospective study and found that, compared to eyes with POAG, there were fewer sectors of the RNFL with significant RNFL-VF correlations in eyes with PACG. Rao23 also found a poor correlation of VF with the RNFL in PACG eyes as compared to POAG. Indeed, the disparity in the correlation between RNFL and VF between PACG and POAG eyes, as observed by them, may be attributed, at least in part, to differences in axial length (AL) between the two groups.

In a study conducted by Rhee et al,20 a comparative analysis of VF was performed between patients with POAG and those with PACG in the early to moderate stages of the disease. The findings revealed that patients with CACG exhibited a more extensive pattern of VF loss in comparison to those with POAG. This observation is consistent with the conclusions drawn from other studies in the field.24–26 Moreover, building upon their previous research, Boland et al27 controlled for variables that can affect the appearance of the ONH, including cup area, rim area, and cup-to-disc area ratio. After performing multiple regression adjustments, the study found that at an equivalent level of mean deviation (MD), the pattern standard deviation (PSD) was significantly larger in the POAG eyes than in the PACG eyes, suggesting a greater degree of localized damage in the former.

In both POAG and PACG eyes, VF damage was more pronounced in superior hemifield than inferior hemifield. However, this tendency was more obvious in POAG eyes than in PACG eyes. Yousefi et al28 concluded that in the early stage of POAG, three regions (central, paracentral, and peripheral) in the superior hemifield exhibited greater VF loss compared to their inferior counterparts. In the moderate and advanced stages, all glaucoma hemifield test (GHT) regions in the superior hemifield showed greater loss than those in the inferior hemifield. In contrast, PACG eyes had significantly fewer regions in the superior hemifield that were significantly worse than their inferior counterparts. Additionally, POAG eyes had larger PSD values than PACG eyes for a given mean of total deviation (TD) values. Recent comparative studies have also supported these findings.29,30

Furthermore, a previous study has indicated that after stratification based on MD, there are significant differences between the hemifield differences in the mild (MD ≥ −10 dB) and moderate (MD < −20 dB and ≥ −10 dB) subgroups. However, in the severe (MD < −20 dB) subgroup, such differences between the hemifield are not apparent. This suggests that as the severity of glaucoma progresses, VF damage may become more uniform, whereas in the earlier stages, damage may be more localized to specific areas.21 The characteristic trait of the VF defect at the late PACG stage differs from POAG. PACG exhibited a more severe central VF defect, although the inferior and superior hemifield lesions in PACG are similar to those in POAG.31

In POAG eyes, the rate of VF decline is significantly asymmetric across the horizontal meridian; the central, paracentral, and peripheral sectors of the upper hemifield exhibit a more rapid decline in VF compared to the lower hemifield. In contrast, such a difference was not observed in PACG eyes. This distinction may reflect the differing pathophysiological mechanisms underlying the progression of these two types of glaucoma, which could have implications for the clinical management and monitoring of these conditions.32

The strength of the correlation between pretreatment IOP and the amount of VF damage may be an indicator of the extent to which a disease can be considered to be pressure-dependent. This association could support the belief that pathogenetic mechanisms involved in PACG are more dependent on pressure. Gazzard et al33 compared the correlation between VF loss and pretreatment IOP in PACG and POAG. The finding demonstrated a stronger correlation between pretreatment IOP at the time of the first presentation and final VF loss severity for PACG compared with POAG. IOP may be more readily implicated as a causal factor for optic nerve damage in PACG than it is in POAG. This means that, for a given severity of VF loss, PACG subjects tended to have higher IOP. In contrast, for a given IOP, PACG level demonstrated less VF loss. In turn, these results imply that POAG subjects may have less tolerance to higher IOP levels than PACG subjects.

The diffuse nature of VF loss in PACG is currently unclear whether it is due to varying levels and durations of IOP exposure or related to differences in pathophysiology. There is evidence suggesting that in POAG, eyes with lower IOP levels exhibit more localized VF defects compared to cases of POAG with higher IOP levels. This indicates that the pattern of VF damage in glaucoma may be influenced by the level of IOP as well as other underlying pathological mechanisms.34,35 Despite findings by other authors that this association is not strong, it is still a factor that warrants consideration in the understanding and management of glaucoma.36

Structure-to-function studies reveal differences in impairment between POAG and PACG. Although there are known differences in the risk factors between the two disease types, the molecular mechanisms distinguishing PACG and POAG are not yet clear. Another possibility is that the molecular mechanisms underlying these differences are more complex (Table 2).

Table 2 Similarities and Differences About Structure and Function Between PACG and POAG

ONH Morphology

IOP exerts mechanical stress and strain on the eye’s posterior structures, particularly the ONH and surrounding tissues. A shared characteristic across all types of glaucoma is the loss of RGCs, thinning of RNFLT, the development of focal and enlarged cupping of the optic disc, and parapapillary atrophy (PPA). Nevertheless, there is evidence indicating that there are notable differences in the morphology of the ONH between POAG and PACG.37

In a cross-sectional observational study, Sihota et al38 utilized optical coherence tomography (OCT) to assess various ONH parameters in patients with CACG and POAG. The parameters evaluated included disc area, cup area, rim area, vertical integrated rim area (VIRA), rim volume (horizontal integrated rim volume), average cup/disc ratio, and both horizontal and vertical cup/disc ratios, as well as cup volume. The findings revealed that in the early stages of CACG, the eyes exhibited smaller disc areas, cup areas, and cup/disc ratios, while the rim area was larger compared to those with early POAG. These results align with the outcomes of a recent study, which suggests a distinct morphological difference between the two types of glaucoma at an early stage.24 Additionally, they computed the respective receiver operating characteristic curves individually. The findings revealed that the VIRA, rim volume, and rim area are effective in distinguishing between normal eyes and those affected by early POAG and CACG. Moreover, the diagnostic efficacy for early POAG was found to surpass that for early CACG.

In contrast, a parallel study by Thomas et al39 indicated that parameters derived from the Heidelberg Retinal Tomograph (HRT), including disc area, cup area, and cup volume, did not exhibit statistically significant differences, regardless of early or advanced glaucoma. This is consistent with the conclusion of a cross-sectional study in South India.40 Meanwhile, Parikh’s viewpoints on early PACG and early POAG were also different from Sihota’s. Futhermore, Boland et al27 utilized MD and average RNFLT as indicators of damage, acknowledging that eyes with glaucomatous injury may exhibit topographical variations solely due to differing extents of RGCs loss. They also accounted for disc area in their analysis, considering that a larger optic disc contains a greater number of nerve fibers.41 Ultimately, the study’s results demonstrated that there were no significant differences in any HRT parameters, such as cup depth, cup volume, rim volume, or cup shape measure, between the groups. This suggests that the fundamental appearance of the ONH does not vary between PACG and POAG.

Recently, studies have indicated that the Bruch’s membrane opening minimum rim width (BMO-MRW) and the Bruch’s membrane opening minimum rim area (BMO-MRA) are dependable parameters of the ONH that could be utilized for the early detection of glaucomatous progression (Figure 3). In both POAG and PACG, there is a noted reduction in both BMO-MRW and BMO-MRA.42–45

Figure 3 The Definition of BMO-MRW and BMO-MRA. The Bruch’s Membrane Opening-Minimum Rim Width (BMO-MRW) is characterized as the minimal distance extending from the point of the Bruch’s Membrane Opening (BMO) to the Inner Limiting Membrane (ILM). The Bruch’s Membrane Opening-Minimum Rim Area refers to the smallest surface area encompassed by the ILM and any two consecutive BMOs, as demarcated by the yellow dashed arrows.

Previously, there have been reports that ONH swelling was observed at the onset of AACG.46,47 However, it is rare in the course of POAG. Optic pallor usually means this acute angle closure, which is not only common in AACG, but also reported in CACG.48,49 However, the optic disc is characterized by localized rim notching in POAG eyes.40 Pale optic disc is usually a manifestation of advanced glaucoma, with reduced blood vessels or tissue atrophy.50 Kong et al47 compared the RNFLT, BMO-MRW, and BMO-MRA of 30 patients with AACG and 30 patients with POAG. The findings indicated that irrespective of ONH swelling, the global BMO-MRW and total BMO-MRA in AACG demonstrated comparable outcomes, with both global BMO-MRW and total BMO-MRA being significantly higher in AACG compared to the POAG group. However, this study did not rigorously control for the baseline parameters of the participants, nor did it take into account other pertinent ocular parameters. Additionally, patients with AACG and those with POAG might be at different stages of the disease, and the sample size was limited. Concurrently, the conclusions drawn by Kong et al are at odds with those of Li et al, who observed that both BMO-MRW and RNFLT were reduced in both glaucoma groups compared to the control group, yet no significant difference was found between the two glaucoma groups. A separate report utilizing the HRT highlighted differences in rim area between POAG and CACG eyes, but this study also did not strictly control for these factors.51 Currently, there is a scarcity of research examining the distinctions between PACG and POAG in relation to BMO-MRW and BMO-MRA. Future studies should include more extensive longitudinal and cross-sectional investigations (Table 3).

Table 3 Similarities and Differences About ONH Morphology Between PACG and POAG

The Lamina Cribrosa

The lamina cribrosa (LC) serves as an intricate network of connective tissue, offering essential structural and nutritional support to the axons of RGCs. This anatomical feature is of paramount importance, as it is recognized as the primary site where axonal damage occurs in glaucoma.52,53 Significantly, within the scope of glaucoma, the LC experiences morphological alterations due to strain, which manifest at both microscopic and macroscopic levels. These alterations encompass the posterior displacement of the laminar insertion point into the sclera, an increase in the cupping of the lamina cribrosa, and a reduction in the thickness of the LC (Figure 4).

Figure 4 The B-scan Image of the Optic Nerve Head Obtained from 3D Optic Disc Pattern Scanning by Swept-Source Optical Coherent Tomographic (SS-OCT). Two red dots represent the endpoint of Bruch’s Membrane Opening (BMO). The BMO reference plane (red line) can be obtained by connecting two points. Lamina cribrosa depth (LCD) is the distance (green line) of a line perpendicular to the BMO reference plane to the anterior prelaminar surface. The blue line is the anterior laminar surface. Lamina cribrosa thickness (LCT) is the distance (yellow line) from the anterior prelaminar surface to the anterior laminar surface.

Li et al54 conducted a comparative analysis of structural characteristics within prelaminar and laminar tissues, revealing a higher prevalence of eyes with prelaminar holes in the CACG cohort as opposed to those in the POAG or control groups. The prelaminar holes observed in CACG eyes were found to be larger in size compared to those in the control group and exceeded the number detected by cross-sectional scanning in POAG eyes. The presence of multiple pores in the prelaminar region is considered a distinctive feature of the ONH injury pattern in CACG eyes (Figure 5). These findings suggest that the prelaminar pores are a significant hallmark of CACG and these pathological changes appear to be markedly different from the anterior wedge-shaped defects typically associated with the LC in POAG patients.55 This divergence may indicate a distinct pathogenic mechanism underlying glaucomatous damage caused by CPACG.

Figure 5 Examples of Prelaminar Holes. (A) Multiple large prelaminar holes (white arrows) in a CACG patient (B) A small prelaminar hole (white arrow) in a POAG patient. (C) Prelaminar wedge defect (white arrow) in a POAG patient. (D) Laminar defect (black arrow heads) in a POAG patient. The figure is sourced from: Li D, Li T, Paschalis EI et al. Optic Nerve Head Characteristics in Chronic Angle Closure Glaucoma Detected by Swept-Source OCT. Curr Eye Res. Nov 2017;42(11):1450–1457, with permission from Taylor and Francis. Available from: https://www.tandfonline.com/doi/full/10.1080/02713683.2017.1341535.54

Furthermore, in a prospective investigation, individuals suspected of having acute angle-closure underwent a 2-hour dark room prone provocative test (DRPPT) to evaluate the positional alterations of lamina cribrosa pores (LCPs) in response to acute IOP elevation. The test keeps patients parallel to the ground in a dark room for 2 hours. Within 5 minutes before and after the start and end of the DRPPT, Wang et al56 obtained the required parameters by taking OCT and color fundus photography. Multivariate analysis revealed that the displacement of the lateral LCPs is positively correlated with an increase in IOP and the deepening of the optic cup. Among the study subjects, the LCP movement direction was upward in 12 eyes, downward in 10 eyes, temporal in 9 eyes, and nasal in 5 eyes. Consequently, the study posits that elevated IOP is associated with the movement of LCPs, and that the greater the IOP and the more profound the optic cup deepening, the more significant the LCP displacement. From these findings, it is hypothesized that elevated IOP may be a more prevalent contributing factor to the formation of pores in CACG compared to POAG. However, Li et al ‘s study reported no significant difference in the IOP measurements between the two groups of glaucoma patients on the day of examination. This suggests that further research is warranted to explore the relationship between IOP and the formation of prelaminar pores. Additionally, beyond the comparative methods mentioned, examining postoperative glaucoma outcomes (after IOP reduction) could provide valuable insights for making informed judgments.

A recent study distinguished the lamina cribrosa thickness (LCT) between patients with PACG and POAG. The findings revealed that eyes affected by glaucoma had a reduced LCT when compared to non-glaucomatous control eyes. Moreover, there was an observed inverse correlation between the maximum IOP and LCT. Notably, PACG eyes, which are characterized by higher peak IOP, demonstrated an even thinner LCT compared to POAG eyes. This observation underscores the pressure-dependent effects of PACG on the deformation of the lamina cribrosa and the amplified stress on the LC due to increased IOP, leading to greater strain.57 The diagnostic potential of LCT has been found to be comparable to that of peripapillary RNFLT in patients with glaucoma, and it may even exceed the diagnostic value of peripapillary RNFLT in early NTG patients. This suggests that LCT measurements could be a valuable tool in the early detection and monitoring of glaucoma, particularly in cases where other parameters such as RNFLT may not show significant changes.58 In contrast, Hao et al59 compared the LCT and LCD of CACG and POAG using SD-OCT in a cross-sectional study. The results showed that the average LCT of CACG eyes was higher than that of POAG, but lower than that of normal eyes. The average LCD of POAG and CPACG eyes was higher than that of the normal control eye. However, there was no significant difference in the average LCD between the POAG group and CPACG group. The conclusion regarding LCD is consistent with that of another study.54 The researchers suggested that these observations are in line with the notion that the LC in CACG eyes undergoes less deformation and compression compared to POAG eyes, which points to distinct pathological mechanisms of glaucomatous damage between the two conditions. An additional noteworthy discovery is the frequent occurrence of focal LC defects in glaucomatous eyes that exhibit localized RNFL defects. These localized abnormalities of the LC may be associated with the occurrence of localized damage to the retinal nerve fibers. This suggests a potential correlation between structural changes in the LC and the functional impairment of the retinal ganglion cells, as indicated by RNFL defects.60,61

Since LCD takes into account the choroidal thickness, it results in a bias in the LCD values. Therefore, the measurement of LCD has its limitations. Recently, some scholars have calculated LCD in another way, while adding another parameter: LC curvature index (LCCI). For details on the measurement methods, the reader is referred to these two published articles.62,63 Increased attention has been given to LCCI, because it describes the LC topography and is not affected by the choroidal thickness. LCCI was shown to have a better discriminating capability index between POAG and healthy eyes than the LCD.64,65 However, there is a relative scarcity of comparative research on LCCI. Future research should aim to fill this gap.

Park et al66 conducted an analysis of the prelamina and lamina alterations in 20 patients with POAG who were scheduled for glaucoma surgery and 17 patients with AACG who were to undergo laser peripheral iridoplasty, following a reduction in IOP. Their findings indicated that IOP reduction triggered distinct responses in the two patient groups. In AACG patients, a significant anterior shift of the prelamina and lamina was observed, accompanied by an increase in the thickness of the prelamina. In the POAG group, the changes in LCD and LCT were not significantly different from basic values before the reduction in IOP. Park et al have pointed out that patients with AACG showed notably greater alterations in LCT and LCD following IOP reduction, in contrast to those with POAG. Additionally, it was observed that the POAG patients demonstrated a comparatively higher LCD.

Similarly, Kadziauskienė et al65 reported that not only does the average LCD decrease following a reduction in IOP, but the LC can exhibit both backward and forward movements post-IOP reduction. They noted that trabeculectomy results in a continuous flattening and shallowing of the LC, with stabilization occurring after approximately six months. However, they did not make a comparative analysis between POAG and PACG. Furthermore, a comprehensive comparison of the relevant parameters associated with the two types of glaucoma surgeries was not provided in their study (Table 4).

Table 4 Similarities and Differences About Lamina Cribrosa Between PACG and POAG

Parapapillary Atrophy

PPA β area, which is characterized by the loss of retinal pigment epithelium (RPE), has historically been linked to glaucoma.67,68 Prior research has indicated that the mean ratio of PPA to disc area is significantly higher in POAG compared to PACG.69 This ratio has also been confirmed to be associated with the MD in POAG patients. However, Uchida et al48 and Xu et al70 both did not find a significant correlation between PPA and glaucomatous damage in PACG. Uchida et al hypothesized that this might be due to a considerably lower prevalence of PPA in PACG patients (38%) as opposed to those with POAG (68%). This implies that both types of glaucoma may share some commonalities on the development of PPA in their pathogenesis.

Recently, it has been proposed that based on spectral-domain optical coherence tomography (SD-OCT), the conventional β region can be further divided into two regions: the γ region and the (new) β region. The γ zone is defined as the area between the edge of the temporal ONH and the beginning of Bruch’s membrane, and the β zone is defined as the absence of retinal pigment epithelium in Bruch ‘s membrane.71 The OCT-defined parapapillary β area is associated with aging, glaucoma, and with axial myopia. In contrast, the OCT-defined parapapillary γ area is strongly associated with axial myopia.72–74 OCT-based classification is more relevant than the conventional photograph-based classification in distinguishing the influence of glaucoma from that of myopia on the PPA. In clinical practice, the size of the parapapillary β area in PACG patients can be used as an indicator of glaucoma severity.

Emerging evidence has increasingly indicated a predominant association between the parapapillary β zone and POAG, with a more modest correlation observed in the context of axial myopia. The majority of research endeavors have predominantly focused on POAG.72,75 However, there is a scarcity of research on the PPA in PACG. Shang et al76 compared the microstructural characteristics of the parapapillary γ and β zones and their influencing factors between POAG and PACG. Their findings indicate that when comparing the PACG and POAG cohorts with adjustments for age and MD values, there were no significant differences observed in the area and configuration of the OCT-defined parapapillary β zone. In contrast, the OCT-defined parapapillary γ zone was found to be larger in the POAG group. More researches concerning PACG patients and comparative researches are needed in the future.

Compromised Microvasculature

Sometimes elevated IOP alone does not explain certain clinical and experimental observations, as persistent VF deterioration occurs despite adequate control of IOP in some patients, especially in NTG. Studies suggest that vascular factors, rather than IOP-dependent risk factors, may be an important pathogenetic mechanism. The vascular theory of glaucoma suggests that inadequate blood supply to the optic nerve is a key factor in glaucoma. With the development of new techniques to study the circulation in the eye, there is increasing evidence to support the role of the microvascular system in glaucoma. A noninvasive method for examining the microvascular structure of the retina and optical disc is optical coherence tomography angiography (OCTA). By measuring the movement of red blood cells in retinal blood vessels, OCTA creates images of perfusion vessels for angiography. OCTA can evaluate the vessel density (VD) of ONH in glaucoma.77 Numerous studies have reported a reduction in peripapillary VD and macular VD in both POAG and PACG. Moreover, the diagnostic capabilities of peripapillary VD parameters derived from OCTA have been demonstrated to be comparable to those of RNFLT measurements.78–81

Some existing research findings indicate that the two types of glaucoma exhibit distinct manifestations. In NTG eyes, a decrease in VD is associated with a reduction in MD, whereas in PACG eyes, it is not related to MD. Despite similar disease severity and average RNFLT in both types of glaucoma, the overall VD in early-stage NTG is lower compared to early-stage PACG.82 In PACG eyes, VF mean sensitivity demonstrated a significant correlation with the corresponding RNFLT in four sectors, whereas VD was associated with the corresponding VF mean sensitivity in five sectors. Concurrently, in POAG eyes, the VD of all sectors exhibited a significant association with both the corresponding VF mean sensitivity and RNFLT, respectively.83 However, there are researchers who have indicated that there were no significant differences in the OCTA parameters in the peripapillary and macular areas between the POAG and PACG groups.84

Hou et al85 used OCTA to compare the VD of the ONH and macula in POAG and PACG eyes. Compared with control eyes, the whole ONH, peripapillary VD of POAG and PACG eyes were significantly reduced, suggesting impaired retinal vascular perfusion in glaucoma eyes. Although covariates were similar in the two groups, VD around the inferior temporal papilla was significantly lower in the POAG group than in the PACG group. The reduction of VD in PACG eyes was more uniform.

It has long been postulated that a reduction in ocular perfusion pressure (OPP) may elevate the susceptibility of the ONH, thereby heightening the risk of glaucoma onset and advancement.86–88 Some studies89,90 have shown the correlation between OPP and POAG. However, the vast majority of studies have focused on POAG, with almost no research conducted on PACG, leaving it an unexplored area (Table 5).

Table 5 Similarity and Differences About Microvasculature Between PACG and POAG

Genetic Susceptibility

Glaucoma has been viewed a multifactorial disease including environmental and familial factors. Several genetic regions have been elucidated to be related with glaucoma using genetic association studies or genetic linkage analyses.

Familial linkage studies of POAG have been conducted and certain likely causative genes have been identified, including MYOC (GLC1A), OPTN (GLC1E), EFEMP1 (GLC1H) and TBK1 (GLC1P).91–94 The accumulation of mutant MYOC protein within TM cells is posited to disrupt the normal physiological functions of these cells. This disruption can impede the regular outflow of aqueous humor and result in elevated IOP.95 The TM of PACG patients also showed similar changes as those of POAG patients.96 However, Aung et al97 did not find a role for MYOC mutations in the pathogenesis of PACG in Chinese. GLC1F (ASB10) and GLC1G (WDR36), which are associated with POAG but not determined to be pathogenic, have recently been identified.98,99 Othman et al100 performed linkage analysis of a genome scan in a large family with PACG and identified the NNO1 locus, which is localized to chromosome 11, to be associated with PACG but the causative gene at this locus has not been elucidated.

Genetic linkage studies continue to be a useful tool for the discovery of risk loci, and a recent approach is the Genome-wide association study (GWAS) that involves the detection of genome-wide genetic variation (eg SNP) polymorphisms in multiple individuals, which in turn correlates genotype with phenotype to mine trait-associated genes. GWAS identified several genes associated with POAG: CDKN2B-AS1, CAV1 and CAV2, TMCO1, ABCA1, AFAP1, GAS7, TXNRD2, ATXN2, intergenic region of chromosome 8q22, SIX1 and SIX6. The gene loci shared between high IOP and the POAG phenotype were CAV1, TMCO1, ABCA1, and GAS7, suggesting that the genetic susceptibility to POAG cannot be explained by elevated IOP alone.6

Recently, two large studies101,102 have identified eight loci associated with the risk of developing PACG: PLEKHA7 rs11024102, COL11A1 rs3753841, rs1015213 located between PCMTD1 and ST18 on Chromosome 8q EPDR1 rs3816415, CHAT rs1258267, GLIS3 rs736893, FERMT2 rs7494379, and DPM2 - FAM102A, but these eight loci only explain 1.8% of the genetic basis of PACG, confirming the need for larger or more targeted studies in the future. For the first three PACG genetic susceptibility loci, preceding investigations103,104 demonstrated that they are not correlated with anterior chamber depth (ACD), AL, MD, and PSD phenotypes, but another study105 revealed that at least rs1015213 is associated with ACD. Additional researches106,107 identified other loci that exhibit associations with ACD. The complexity of glaucoma phenotype is composed of diverse pathological processes.108

In the meantime, meta-analysis and a systematic review discovered five candidate genes for PACG risk: HGF (rs6745718)-A and rs17427817-C), heat shock protein 70 (HSP70) (rs1043618), membrane type Frizzled-related protein (MFRP) (rs2510143-C), MMP9 (rs3918249-C) and nitric oxide synthase 3 (NOS3) (rs7830-A), of which MMP9 is a collagenase thought to have an influence on intraocular extracellular matrix remodeling.109,110 None of these candidate genes, however, has been confirmed in a large GWAS of PACG, so their magnitude in the pathogenesis of PACG is uncertain.

It has been assumed that PACG and POAG have completely different genetic profiles because no overlapping genetic markers have been identified in large GWAS. Two of the eight PACG loci (PLEKHA7 and FERMT2) are IOP-associated genes, while PLEKHA7 and FERMT2 are also associated with POAG.111,112 These results suggest that there may be a common pathway leading to elevated IOP in both POAG and PACG, and further studies may reveal more common genetic features. Indeed, GWAS has yielded more than 100 genetic markers associated with glaucoma risk. However, one of the drawbacks of GWAS studies is that it is difficult to identify the actual effector genes responsible for the pathogenesis of the disease. With the development of new technologies, glaucoma gene mapping has revealed the biological mechanisms that may be involved in glaucoma, revealing new therapeutic targets and prospects for individualized treatment.

Conclusion

Current theories postulate a hybrid mechanism of optic nerve injury in glaucoma. The pathogenesis of glaucoma is not a pathway but occurs as an organic continuum that ultimately leads to RGC apoptosis.

However, some research findings are contradictory, and people hypothesize several reasons for this discrepancy. Firstly, although the inclusion criteria for these comparative studies are not lax, they may not accurately control the baseline data of glaucoma patients at enrollment, particularly the severity of the condition and the basic structural parameters of the eye, which could be a major reason for the conflicting conclusions. Additionally, a small sample size may also contribute to these inconsistencies. Secondly, PACG and POAG do not exhibit substantial differences in some parameters. Despite the different pathological mechanisms underlying IOP elevation, the stress response of tissues to pressure is similar. Thirdly, it is tempting to speculate that any difference in the pattern of optic nerve damage between PACG and POAG may have to do with differences in their ONH structures or the susceptibility of RGCs to damage. Because PACG is predominantly initiated by outflow obstruction and IOP that are higher than normal, one may hypothesize that these eyes would have neither abnormally compliant disc connective tissue nor subgroups of ganglion cells with vulnerability greater than average. In POAG, on the other hand, optic nerve disease often does occur at IOP levels that are tolerated by most eyes without damage. The loss of the vulnerable VF in POAG may be in accordance with patterns that arise from idiosyncratic defects in the structure of the nerve head or the susceptibility of ganglion cells to apoptosis that are not shared by PACG. Therefore, under the influence of multiple factors, different types of glaucoma emerge. Subsequently, under varying IOP exposure states, some structures or functions exhibit consistent and distinct patterns of damage, while others show diverse yet similar damage characteristics. Future research should involve more multi-parameter, large-sample studies, either cross-sectional or longitudinal, to delve deeper into the differences between POAG and PACG, thereby enhancing our understanding of glaucoma.

Funding

This work was supported by the Shanghai Science and Technology Committee Project Foundation [NO. 21Y11909700]; and the National Natural Science Foundation of China [NO. 82070953, NO. 82371048, NO.82000885]. The funding sources had no involvement all through the study.

Disclosure

The authors report no proprietary or commercial interest in any product mentioned or concept discussed in this article.

References

1. Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. Ophthalmology. 2014;121(11):2081–2090. doi:10.1016/j.ophtha.2014.05.013

2. Rudnicka AR, Mt-Isa S, Owen CG, Cook DG, Ashby D. Variations in primary open-angle glaucoma prevalence by age, gender, and race: a Bayesian meta-analysis. Invest Ophthalmol Vis Sci. 2006;47(10):4254–4261. doi:10.1167/iovs.06-0299

3. Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006;90(3):262–267. doi:10.1136/bjo.2005.081224

4. Kim YY, Jung HR. Clarifying the nomenclature for primary angle-closure glaucoma. Surv Ophthalmol. 1997;42(2):125–136. doi:10.1016/S0039-6257(97)00023-4

5. Killer HE, Pircher A. Normal tension glaucoma: review of current understanding and mechanisms of the pathogenesis. Eye. 2018;32(5):924–930. doi:10.1038/s41433-018-0042-2

6. Andrew NH, Akkach S, Casson RJ. A review of aqueous outflow resistance and its relevance to microinvasive glaucoma surgery. Surv Ophthalmol. 2020;65(1):18–31. doi:10.1016/j.survophthal.2019.08.002

7. Sihota R, Angmo D, Ramaswamy D, Dada T. Simplifying “target” intraocular pressure for different stages of primary open-angle glaucoma and primary angle-closure glaucoma. Indian J Ophthalmol. 2018;66(4):495–505. doi:10.4103/ijo.IJO_1130_17

8. Jonas JB, Aung T, Bourne RR, Bron AM, Ritch R, Panda-Jonas S. Glaucoma. Lancet. 2017;390(10108):2183–2193. doi:10.1016/S0140-6736(17)31469-1

9. Wright C, Tawfik MA, Waisbourd M, Katz LJ. Primary angle-closure glaucoma: an update. Acta Ophthalmol. 2016;94(3):217–225. doi:10.1111/aos.12784

10. Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: a review. JAMA. 2014;311(18):1901–1911. doi:10.1001/jama.2014.3192

11. Casson RJ, Chidlow G, Wood JP, Crowston JG, Goldberg I. Definition of glaucoma: clinical and experimental concepts. Clin Exp Ophthalmol. 2012;40(4):341–349. doi:10.1111/j.1442-9071.2012.02773.x

12. Sun X, Dai Y, Chen Y, et al. Primary angle closure glaucoma: what we know and what we don’t know. Prog Retin Eye Res. 2017;57:26–45. doi:10.1016/j.preteyeres.2016.12.003

13. Phillips CI. Aetiology of angle-closure glaucoma. Br J Ophthalmol. 1972;56(3):248–253. doi:10.1136/bjo.56.3.248

14. Arora KS, Jefferys JL, Maul EA, Quigley HA. The choroid is thicker in angle closure than in open angle and control eyes. Invest Ophthalmol Vis Sci. 2012;53(12):7813–7818. doi:10.1167/iovs.12-10483

15. Lee DA, Brubaker RF, Ilstrup DM. Anterior chamber dimensions in patients with narrow angles and angle-closure glaucoma. Arch Ophthalmol. 1984;102(1):46–50. doi:10.1001/archopht.1984.01040030030029

16. Marchini G, Pagliarusco A, Toscano A, Tosi R, Brunelli C, Bonomi L. Ultrasound biomicroscopic and conventional ultrasonographic study of ocular dimensions in primary angle-closure glaucoma. Ophthalmology. 1998;105(11):2091–2098. doi:10.1016/S0161-6420(98)91132-0

17. Stamer WD, Acott TS. Current understanding of conventional outflow dysfunction in glaucoma. Curr Opin Ophthalmol. 2012;23(2):135–143. doi:10.1097/ICU.0b013e32834ff23e

18. Yohannan J, Boland MV. The evolving role of the relationship between optic nerve structure and function in glaucoma. Ophthalmology. 2017;124(12S):S66–S70. doi:10.1016/j.ophtha.2017.05.006

19. Manassakorn A, Aupapong S. Retinal nerve fiber layer defect patterns in primary angle-closure and open-angle glaucoma: a comparison using optical coherence tomography. Jpn J Ophthalmol. 2011;55(1):28–34. doi:10.1007/s10384-010-0898-6

20. Rhee K, Kim YY, Nam DH, Jung HR. Comparison of visual field defects between primary open-angle glaucoma and chronic primary angle-closure glaucoma in the early or moderate stage of the disease. Korean J Ophthalmol. 2001;15(1):27–31. doi:10.3341/kjo.2001.15.1.27

21. Gazzard G, Foster PJ, Viswanathan AC, et al. The severity and spatial distribution of visual field defects in primary glaucoma: a comparison of primary open-angle glaucoma and primary angle-closure glaucoma. Arch Ophthalmol. 2002;120(12):1636–1643. doi:10.1001/archopht.120.12.1636

22. Lee PJ, Liu CJ, Wojciechowski R, Bailey-Wilson JE, Cheng CY. Structure-function correlations using scanning laser polarimetry in primary angle-closure glaucoma and primary open-angle glaucoma. Am J Ophthalmol. 2010;149(5):817–25e1. doi:10.1016/j.ajo.2009.12.007

23. Rao A. Comparison of relation between visual function index and retinal nerve fiber layer structure by optical coherence tomography among primary open angle glaucoma and primary angle closure glaucoma eyes. Oman J Ophthalmol. 2014;7(1):9–12. doi:10.4103/0974-620X.127911

24. Sun JA, Yuan M, Johnson GE, et al. Comparison of structural and functional features in primary angle closure and open angle glaucomas. J Glaucoma. 2024;33(4):254–261. doi:10.1097/IJG.0000000000002341

25. Nouri-Mahdavi K, Supawavej C, Bitrian E, et al. Patterns of damage in chronic angle-closure glaucoma compared to primary open-angle glaucoma. Am J Ophthalmol. 2011;152(1):74–80e2. doi:10.1016/j.ajo.2011.01.008

26. Ngo CS, Aquino MC, Noor S, et al. A prospective comparison of chronic primary angle-closure glaucoma versus primary open-angle glaucoma in Singapore. Singapore Med J. 2013;54(3):140–145. doi:10.11622/smedj.2013049

27. Boland MV, Zhang L, Broman AT, Jampel HD, Quigley HA. Comparison of optic nerve head topography and visual field in eyes with open-angle and angle-closure glaucoma. Ophthalmology. 2008;115(2):239–245e2. doi:10.1016/j.ophtha.2007.03.086

28. Yousefi S, Sakai H, Murata H, et al. Asymmetric patterns of visual field defect in primary open-angle and primary angle-closure glaucoma. Invest Ophthalmol Vis Sci. 2018;59(3):1279–1287. doi:10.1167/iovs.17-22980

29. Jiang J, Ye C, Zhang C, et al. Intraocular asymmetry of visual field defects in primary angle-closure glaucoma, high-tension glaucoma, and normal-tension glaucoma in a Chinese population. Sci Rep. 2021;11(1):11674. doi:10.1038/s41598-021-91173-8

30. Jiang J, Ye C, Zhang C, et al. The patterns of visual field defects in primary angle-closure glaucoma compared to high-tension glaucoma and normal-tension glaucoma. Ophthalmic Res. 2023;66(1):940–948. doi:10.1159/000530175

31. Huang W, Wang W, Gao X, et al. Choroidal thickness in the subtypes of angle closure: an EDI-OCT study. Invest Ophthalmol Vis Sci. 2013;54(13):7849–7853. doi:10.1167/iovs.13-13158

32. Yousefi S, Sakai H, Murata H, et al. Rates of visual field loss in primary open-angle glaucoma and primary angle-closure glaucoma: asymmetric patterns. Invest Ophthalmol Vis Sci. 2018;59(15):5717–5725. doi:10.1167/iovs.18-25140

33. Gazzard G, Foster PJ, Devereux JG, et al. Intraocular pressure and visual field loss in primary angle closure and primary open angle glaucomas. Br J Ophthalmol. 2003;87(6):720–725. doi:10.1136/bjo.87.6.720

34. Caprioli J, Sears M, Miller JM. Patterns of early visual field loss in open-angle glaucoma. Am J Ophthalmol. 1987;103(4):512–517. doi:10.1016/S0002-9394(14)74273-4

35. Samuelson TW, Spaeth GL. Focal and diffuse visual field defects: their relationship to intraocular pressure. Ophthalmic Surg. 1993;24(8):519–525.

36. Chauhan BC, Drance SM. The influence of intraocular pressure on visual field damage in patients with normal-tension and high-tension glaucoma. Invest Ophthalmol Vis Sci. 1990;31(11):2367–2372.

37. Sihota R, Sidhu T, Dada T. The role of clinical examination of the optic nerve head in glaucoma today. Curr Opin Ophthalmol. 2021;32(2):83–91. doi:10.1097/ICU.0000000000000734

38. Sihota R, Sony P, Gupta V, Dada T, Singh R. Comparing glaucomatous optic neuropathy in primary open angle and chronic primary angle closure glaucoma eyes by optical coherence tomography. Ophthalmic Physiol Opt. 2005;25(5):408–415. doi:10.1111/j.1475-1313.2005.00304.x

39. Thomas R, Muliyil J, Simha RA, Parikh RS. Heidelberg retinal tomograph (HRT 2) parameters in primary open angle glaucoma and primary angle closure glaucoma: a comparative study in an Indian population. Ophthalmic Epidemiol. 2006;13(5):343–350. doi:10.1080/09286580600850983

40. Parikh R, Kitnarong N, Jonas JB, Parikh SR, Thomas R. Optic disc morphology in primary open-angle glaucoma versus primary angle-closure glaucoma in South India. Indian J Ophthalmol. 2021;69(7):1833–1838. doi:10.4103/ijo.IJO_2442_20

41. Caprioli J, Miller JM. Optic disc rim area is related to disc size in normal subjects. Arch Ophthalmol. 1987;105(12):1683–1685. doi:10.1001/archopht.1987.01060120081030

42. Tatham AJ, Medeiros FA. Detecting structural progression in glaucoma with optical coherence tomography. Ophthalmology. 2017;124(12S):S57–S65. doi:10.1016/j.ophtha.2017.07.015

43. Chauhan BC, O’Leary N, AlMobarak FA, et al. Enhanced detection of open-angle glaucoma with an anatomically accurate optical coherence tomography-derived neuroretinal rim parameter. Ophthalmology. 2013;120(3):535–543. doi:10.1016/j.ophtha.2012.09.055

44. Li R, Wang X, Wei Y, et al. Diagnostic capability of different morphological parameters for primary open-angle glaucoma in the Chinese population. BMC Ophthalmol. 2021;21(1):151. doi:10.1186/s12886-021-01906-6

45. Enders P, Adler W, Kiessling D, et al. Evaluation of two-dimensional Bruch’s membrane opening minimum rim area for glaucoma diagnostics in a large patient cohort. Acta Ophthalmol. 2019;97(1):60–67. doi:10.1111/aos.13698

46. Yip LW, Yong VK, Hoh ST, Wong HT. Optical coherence tomography of optic disc swelling in acute primary angle-closure glaucoma. Arch Ophthalmol. 2005;123(4):567–569. doi:10.1001/archopht.123.4.567

47. Kong JH, Park SP, Na KI. Differences in optic nerve head structure between acute angle-closure glaucoma and open-angle glaucoma. Sci Rep. 2023;13(1):7935. doi:10.1038/s41598-023-35020-y

48. Uchida H, Yamamoto T, Tomita G, Kitazawa Y. Peripapillary atrophy in primary angle-closure glaucoma: a comparative study with primary open-angle glaucoma. Am J Ophthalmol. 1999;127(2):121–128. doi:10.1016/S0002-9394(98)00318-3

49. Douglas GR, Drance SM, Schulzer M. The visual field and nerve head in angle-closure glaucoma. A comparison of the effects of acute and chronic angle closure. Arch Ophthalmol. 1975;93(6):409–411. doi:10.1001/archopht.1975.01010020423004

50. Ramm L, Schwab B, Stodtmeister R, et al. Assessment of optic nerve head pallor in primary open-angle glaucoma patients and healthy subjects. Curr Eye Res. 2017;42(9):1313–1318. doi:10.1080/02713683.2017.1307415

51. Zhao L, Wu L, Wang X. Optic nerve head morphologic characteristics in chronic angle-closure glaucoma and normal-tension glaucoma. J Glaucoma. 2009;18(6):460–463. doi:10.1097/IJG.0b013e31818c6f1a

52. Caprioli J. Correlation of visual function with optic nerve and nerve fiber layer structure in glaucoma. Surv Ophthalmol. 1989;33(Suppl):319–330.

53. Quigley HA, Addicks EM, Green WR, Maumenee AE. Optic nerve damage in human glaucoma. II. The site of injury and susceptibility to damage. Arch Ophthalmol. 1981;99(4):635–649. doi:10.1001/archopht.1981.03930010635009

54. Li D, Li T, Paschalis EI, et al. Optic nerve head characteristics in chronic angle closure glaucoma detected by swept-source OCT. Curr Eye Res. 2017;42(11):1450–1457. doi:10.1080/02713683.2017.1341535

55. Lee EJ, Han JC, Kee C. A novel hypothesis for the pathogenesis of glaucomatous disc hemorrhage. Prog Retin Eye Res. 2017;60:20–43. doi:10.1016/j.preteyeres.2017.08.002

56. Wang YX, Zhang Q, Yang H, Chen JD, Wang N, Jonas JB. Lamina cribrosa pore movement during acute intraocular pressure rise. Br J Ophthalmol. 2020;104(6):800–806. doi:10.1136/bjophthalmol-2019-314016

57. Wanichwecharungruang B, Kongthaworn A, Wagner D, Ruamviboonsuk P, Seresirikachorn K. Comparative study of lamina cribrosa thickness between primary angle-closure and primary open-angle glaucoma. Clin Ophthalmol. 2021;15:697–705. doi:10.2147/OPTH.S296115

58. Park HY, Park CK. Diagnostic capability of lamina cribrosa thickness by enhanced depth imaging and factors affecting thickness in patients with glaucoma. Ophthalmology. 2013;120(4):745–752. doi:10.1016/j.ophtha.2012.09.051

59. Hao L, Xiao H, Gao X, Xu X, Liu X. Measurement of structural parameters of the lamina cribrosa in primary open-angle glaucoma and chronic primary angle-closure glaucoma by optical coherence tomography and its correlations with ocular parameters. Ophthalmic Res. 2019;62(1):36–45. doi:10.1159/000496558

60. Tatham AJ, Miki A, Weinreb RN, Zangwill LM, Medeiros FA. Defects of the lamina cribrosa in eyes with localized retinal nerve fiber layer loss. Ophthalmology. 2014;121(1):110–118. doi:10.1016/j.ophtha.2013.08.018

61. Park HL, Kim SI, Park CK. Influence of the lamina cribrosa on the rate of global and localized retinal nerve fiber layer thinning in open-angle glaucoma. Medicine. 2017;96(14):e6295. doi:10.1097/MD.0000000000006295

62. Ha A, Kim TJ, Girard MJA, et al. Baseline lamina cribrosa curvature and subsequent visual field progression rate in primary open-angle glaucoma. Ophthalmology. 2018;125(12):1898–1906. doi:10.1016/j.ophtha.2018.05.017

63. Kim YW, Jeoung JW, Kim DW, et al. Clinical assessment of lamina cribrosa curvature in eyes with primary open-angle glaucoma. PLoS One. 2016;11(3):e0150260. doi:10.1371/journal.pone.0150260

64. Saba A, Usmani A, Islam QU, Assad T. Unfolding the enigma of lamina cribrosa morphometry and its association with glaucoma. Pak J Med Sci. 2019;35(6):1730–1735. doi:10.12669/pjms.35.6.568

65. Kadziauskiene A, Jasinskiene E, Asoklis R, et al. Long-term shape, curvature, and depth changes of the lamina cribrosa after trabeculectomy. Ophthalmology. 2018;125(11):1729–1740. doi:10.1016/j.ophtha.2018.05.011

66. Park HY, Shin HY, Jung KI, Park CK. Changes in the lamina and prelamina after intraocular pressure reduction in patients with primary open-angle glaucoma and acute primary angle-closure. Invest Ophthalmol Vis Sci. 2014;55(1):233–239. doi:10.1167/iovs.12-10329

67. Teng CC, De Moraes CG, Prata TS, Tello C, Ritch R, Liebmann JM. Beta-Zone parapapillary atrophy and the velocity of glaucoma progression. Ophthalmology. 2010;117(5):909–915. doi:10.1016/j.ophtha.2009.10.016

68. Bak E, Ha A, Kim YW, et al. Ten years and beyond longitudinal change of ss-zone parapapillary atrophy: comparison of primary open-angle glaucoma with normal eyes. Ophthalmology. 2020;127(8):1054–1063. doi:10.1016/j.ophtha.2020.01.057

69. Uhm KB, Lee JM, Sung HK. Comparison of glaucomatous optic nerve damage in primary angle-closure glaucoma with and without acute attack. Korean J Ophthalmol. 2005;19(3):201–207. doi:10.3341/kjo.2005.19.3.201

70. Xu L, Wang Y, Yang H, Jonas JB. Differences in parapapillary atrophy between glaucomatous and normal eyes: the Beijing eye study. Am J Ophthalmol. 2007;144(4):541–546. doi:10.1016/j.ajo.2007.05.038

71. Dai Y, Jonas JB, Huang H, Wang M, Sun X. Microstructure of parapapillary atrophy: beta zone and gamma zone. Invest Ophthalmol Vis Sci. 2013;54(3):2013–2018. doi:10.1167/iovs.12-11255

72. Yoo YJ, Lee EJ, Kim TW. Intereye difference in the microstructure of parapapillary atrophy in unilateral primary open-angle glaucoma. Invest Ophthalmol Vis Sci. 2016;57(10):4187–4193. doi:10.1167/iovs.16-19059

73. Shang K, Hu X, Dai Y. Morphological features of parapapillary beta zone and gamma zone in chronic primary angle-closure glaucoma. Eye. 2019;33(9):1378–1386. doi:10.1038/s41433-019-0541-9

74. Zhang Q, Wang YX, Wei WB, Xu L, Jonas JB. Parapapillary beta zone and gamma zone in a healthy population: the Beijing eye study 2011. Invest Ophthalmol Vis Sci. 2018;59(8):3320–3329. doi:10.1167/iovs.18-24141

75. Kim M, Kim TW, Weinreb RN, Lee EJ. Differentiation of parapapillary atrophy using spectral-domain optical coherence tomography. Ophthalmology. 2013;120(9):1790–1797. doi:10.1016/j.ophtha.2013.02.011

76. Shang K, Zhuang D, Dai Y. Comparative analysis of OCT-defined parapapillary beta and gamma zones between primary open angle glaucoma and primary angle closure glaucoma. Sci Rep. 2022;12(1):11070. doi:10.1038/s41598-022-15457-3

77. de Carlo TE, Romano A, Waheed NK, Duker JS. A review of optical coherence tomography angiography (OCTA). Int J Retina Vitreous. 2015;1(1):5. doi:10.1186/s40942-015-0005-8

78. Zhang S, Wu C, Liu L, et al. Optical coherence tomography angiography of the peripapillary retina in primary angle-closure glaucoma. Am J Ophthalmol. 2017;182:194–200. doi:10.1016/j.ajo.2017.07.024

79. Rao HL, Kadambi SV, Weinreb RN, et al. Diagnostic ability of peripapillary vessel density measurements of optical coherence tomography angiography in primary open-angle and angle-closure glaucoma. Br J Ophthalmol. 2017;101(8):1066–1070. doi:10.1136/bjophthalmol-2016-309377

80. Rao HL, Pradhan ZS, Weinreb RN, et al. Vessel density and structural measurements of optical coherence tomography in primary angle closure and primary angle closure glaucoma. Am J Ophthalmol. 2017;177:106–115. doi:10.1016/j.ajo.2017.02.020

81. Yip VCH, Wong HT, Yong VKY, et al. Optical coherence tomography angiography of optic disc and macula vessel density in glaucoma and healthy eyes. J Glaucoma. 2019;28(1):80–87. doi:10.1097/IJG.0000000000001125

82. Shen R, Wang YM, Cheung CY, Chan PP, Tham CC. Comparison of optical coherence tomography angiography metrics in primary angle-closure glaucoma and normal-tension glaucoma. Sci Rep. 2021;11(1):23136. doi:10.1038/s41598-021-02296-x

83. Jo YH, Sung KR, Yun SC. The relationship between peripapillary vascular density and visual field sensitivity in primary open-angle and angle-closure glaucoma. Invest Ophthalmol Vis Sci. 2018;59(15):5862–5867. doi:10.1167/iovs.18-25423

84. Kose HC, Tekeli O. Comparison of microvascular parameters and diagnostic ability of optical coherence tomography angiography between eyes with primary angle closure glaucoma and primary open angle glaucoma. Photodiagnosis Photodyn Ther. 2022;40:103114. doi:10.1016/j.pdpdt.2022.103114

85. Hou TY, Kuang TM, Ko YC, Chang YF, Liu CJ, Chen MJ. optic disc and macular vessel density measured by optical coherence tomography angiography in open-angle and angle-closure glaucoma. Sci Rep. 2020;10(1):5608. doi:10.1038/s41598-020-62633-4

86. Kim KE, Oh S, Baek SU, Ahn SJ, Park KH, Jeoung JW. Ocular perfusion pressure and the risk of open-angle glaucoma: systematic review and meta-analysis. Sci Rep. 2020;10(1):10056. doi:10.1038/s41598-020-66914-w

87. Zheng Y, Wong TY, Mitchell P, Friedman DS, He M, Aung T. Distribution of ocular perfusion pressure and its relationship with open-angle glaucoma: the Singapore Malay eye study. Invest Ophthalmol Vis Sci. 2010;51(7):3399–3404. doi:10.1167/iovs.09-4867

88. Flammer J, Orgul S, Costa VP, et al. The impact of ocular blood flow in glaucoma. Prog Retin Eye Res. 2002;21(4):359–393. doi:10.1016/s1350-9462(02)00008-3

89. Tham YC, Lim SH, Gupta P, Aung T, Wong TY, Cheng CY. Inter-relationship between ocular perfusion pressure, blood pressure, intraocular pressure profiles and primary open-angle glaucoma: the Singapore Epidemiology of Eye Diseases Study. Br J Ophthalmol. 2018;102(10):1402–1406. doi:10.1136/bjophthalmol-2017-311359

90. Melgarejo JD, Van Eijgen J, Wei D, et al. Effect of 24-h blood pressure dysregulations and reduced ocular perfusion pressure in open-angle glaucoma progression. J Hypertens. 2023;41(11):1785–1792. doi:10.1097/HJH.0000000000003537

91. Stone EM, Fingert JH, Alward WL, et al. Identification of a gene that causes primary open angle glaucoma. Science. 1997;275(5300):668–70. doi:10.1126/science.275.5300.668

92. Rezaie T, Child A, Hitchings R, et al. Adult-onset primary open-angle glaucoma caused by mutations in optineurin. Science. 2002;295(5557):1077–1079. doi:10.1126/science.1066901

93. Collantes ERA, Delfin MS, Fan B, et al. EFEMP1 rare variants cause familial juvenile-onset open-angle glaucoma. Hum Mutat. 2022;43(2):240–252. doi:10.1002/humu.24320

94. Fingert JH, Robin AL, Stone JL, et al. Copy number variations on chromosome 12q14 in patients with normal tension glaucoma. Hum Mol Genet. 2011;20(12):2482–2494. doi:10.1093/hmg/ddr123

95. Jacobson N, Andrews M, Shepard AR, et al. Non-secretion of mutant proteins of the glaucoma gene myocilin in cultured trabecular meshwork cells and in aqueous humor. Hum Mol Genet. 2001;10(2):117–125. doi:10.1093/hmg/10.2.117

96. Sihota R, Lakshmaiah NC, Walia KB, Sharma S, Pailoor J, Agarwal HC. The trabecular meshwork in acute and chronic angle closure glaucoma. Indian J Ophthalmol. 2001;49(4):255–259.

97. Aung T, Yong VH, Chew PT, et al. Molecular analysis of the myocilin gene in Chinese subjects with chronic primary-angle closure glaucoma. Invest Ophthalmol Vis Sci. 2005;46(4):1303–1306. doi:10.1167/iovs.04-1163

98. Pasutto F, Keller KE, Weisschuh N, et al. Variants in ASB10 are associated with open-angle glaucoma. Hum Mol Genet. 2012;21(6):1336–1349. doi:10.1093/hmg/ddr572

99. Monemi S, Spaeth G, DaSilva A, et al. Identification of a novel adult-onset primary open-angle glaucoma (POAG) gene on 5q22.1. Hum Mol Genet. 2005;14(6):725–733. doi:10.1093/hmg/ddi068

100. Othman MI, Sullivan SA, Skuta GL, et al. Autosomal dominant nanophthalmos (NNO1) with high hyperopia and angle-closure glaucoma maps to chromosome 11. Am J Hum Genet. 1998;63(5):1411–1418. doi:10.1086/302113

101. Vithana EN, Khor CC, Qiao C, et al. Genome-wide association analyses identify three new susceptibility loci for primary angle closure glaucoma. Nat Genet. 2012;44(10):1142–1146. doi:10.1038/ng.2390

102. Khor CC, Do T, Jia H, et al. Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma. Nat Genet. 2016;48(5):556–562. doi:10.1038/ng.3540

103. Wei X, Nongpiur ME, de Leon MS, et al. Genotype-phenotype correlation analysis for three primary angle closure glaucoma-associated genetic polymorphisms. Invest Ophthalmol Vis Sci. 2014;55(2):1143–1148. doi:10.1167/iovs.13-13552

104. Day AC, Luben R, Khawaja AP, et al. Genotype-phenotype analysis of SNPs associated with primary angle closure glaucoma (rs1015213, rs3753841 and rs11024102) and ocular biometry in the EPIC-Norfolk eye study. Br J Ophthalmol. 2013;97(6):704–707. doi:10.1136/bjophthalmol-2012-302969

105. Nongpiur ME, Wei X, Xu L, et al. Lack of association between primary angle-closure glaucoma susceptibility loci and the ocular biometric parameters anterior chamber depth and axial length. Invest Ophthalmol Vis Sci. 2013;54(8):5824–5828. doi:10.1167/iovs.13-11901

106. Nongpiur ME, Khor CC, Jia H, et al. ABCC5, a gene that influences the anterior chamber depth, is associated with primary angle closure glaucoma. PLoS Genet. 2014;10(3):e1004089. doi:10.1371/journal.pgen.1004089

107. Larson DR, Kimber AJ, Meyer KJ, Anderson MG. Anterior chamber depth in mice is controlled by several quantitative trait loci. PLoS One. 2023;18(8):e0286897. doi:10.1371/journal.pone.0286897

108. Berdahl JP, Allingham RR, Johnson DH. Cerebrospinal fluid pressure is decreased in primary open-angle glaucoma. Ophthalmology. 2008;115(5):763–768. doi:10.1016/j.ophtha.2008.01.013

109. Rong SS, Tang FY, Chu WK, et al. Genetic associations of primary angle-closure disease: a systematic review and meta-analysis. Ophthalmology. 2016;123(6):1211–1221. doi:10.1016/j.ophtha.2015.12.027

110. Vranka JA, Kelley MJ, Acott TS, Keller KE. Extracellular matrix in the trabecular meshwork: intraocular pressure regulation and dysregulation in glaucoma. Exp Eye Res. 2015;133:112–125. doi:10.1016/j.exer.2014.07.014

111. Wang J, Yusufu M, Khor CC, Aung T, Wang N. The genetics of angle closure glaucoma. Exp Eye Res. 2019;189:107835. doi:10.1016/j.exer.2019.107835

112. MacGregor S, Ong JS, An J, et al. Genome-wide association study of intraocular pressure uncovers new pathways to glaucoma. Nat Genet. 2018;50(8):1067–1071. doi:10.1038/s41588-018-0176-y

Creative Commons License © 2024 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, 3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.