No

No / To present a computational model mapping visual field (VF) locations to optic nerve head (ONH) sectors accounting for individual ocular anatomy, and to describe the effects of anatomical variability on maps produced. A previous model that related retinal locations to ONH sectors was adapted to model eyes with varying axial length, ONH position and ONH dimensions. Maps (n = 11,550) relating VF locations (24-2 pattern, n = 52 non–blind-spot locations) to 1° ONH sectors were generated for a range of clinically plausible anatomical parameters. Infrequently mapped ONH sectors (5%) were discarded for all locations. The influence of anatomical variables on the maps was explored by multiple linear regression. Across all anatomical variants, for individual VF locations (24-2), total number of mapped 1° ONH sectors ranged from 12 to 90. Forty-one locations varied more than 30°. In five nasal-step locations, mapped ONH sectors were bimodally distributed, mapping to vertically opposite ONH sectors depending on vertical ONH position. Mapped ONH sectors were significantly influenced (P < 0.0002) by axial length, ONH position, and ONH dimensions for 39, 52, and 30 VF locations, respectively. On average across all VF locations, vertical ONH position explained the most variance in mapped ONH sector, followed by horizontal ONH position, axial length, and ONH dimensions. Relations between ONH sectors and many VF locations are strongly anatomy-dependent. Our model may be used to produce customized maps from VF locations to the ONH in individual eyes where some simple biometric parameters are known. / ustralian Research Council Linkage Project LP100100250 (with Heidelberg Engineering GmbH, Germany); Australian Research Council Future Fellowship FT0990930 (AMM); Australian Research Council Future Fellowship FT0991326 (AT)

Several research groups have applied elevated hydrostatic pressure to ONH astrocytes cultured on a rigid substrate as an in vitro model for glaucoma. These studies have shown significant biological effects and this hydrostatic pressure model is now becoming generally accepted in the ophthalmic community. However, since the applied pressures were modest the finding of significant biological effects due to pressure alone is surprising. We hypothesized that the application of hydrostatic pressure as described in these studies also altered gas tensions in the culture media. Our goal was to design equipment and carry out experiments to separate the biologic effects of pressure from those of hypoxia on cultured astrocytes. We designed equipment and carried out experiments to subject cultures of DITNC1 astrocytes to the four combinations of two levels of each parameter. We explored the morphology and migration rates of astrocytes, but observed no significant change in any of these properties.

Glaucoma is a common cause of blindness worldwide, yet the etiology of the disease is unclear. A leading hypothesis is that elevated intraocular pressure (IOP) affects the biomechanical environment within the tissues of the optic nerve head (ONH), and that the altered biomechanical environment contributes to optic nerve damage and consequent loss of vision. The biomechanical environment of the ONH is strongly dependent on the biomechanical properties of sclera, particularly scleral stiffness. However there is significant variability in reported stiffness data for human sclera. Therefore, our research goal was to measure the stiffness of human sclera and incorporate this information into finite element models of the human eye to characterize and quantify the biomechanical environment within and around the optic nerve head region at different IOP levels. Human sclera adjacent to the optic nerve head showed highly nonlinear, nearly isotropic and heterogeneous stiffness which was found to be substantially lower than that previously assumed, particularly at lower levels of IOP. The products c*c1 and c*c2, measures of stiffness in the latitudinal and longitudinal directions from the Fung constitutive model, were 2.9 ± 2.0 MPa and 2.8 ± 1.9 MPa, respectively, and were not significantly different (two-sided t-test; p = 0.795). Scleral stiffness was not statistically different between left and right eyes of an individual (p = 0.952) and amongst the quadrants of an eye (p = 0.412 and p = 0.456 in latitudinal and longitudinal directions, respectively). Three stress-strain relationships consistent with the 5th, 50th and 95th percentiles of the measured scleral stiffness distribution were selected as representatives of compliant, median and stiff scleral properties and were implemented in a generic finite element model of the eye using a hyperelastic five-parameter Mooney-Rivlin material model. Models were solved for IOPs of 15, 25 and 50 mmHg. The magnitudes of strains at the optic nerve head region were substantial at even the lowest applied IOP (15 mmHg) and increased at elevated IOPs (e.g. the third principal strain in the compliant model reached as much as 5.25% in the lamina cribrosa at 15mmHg and 8.84% in the lamina cribrosa at 50 mmHg). Scleras that are “weak”, but still within the physiologic range, are predicted to lead to appreciably increased optic nerve head strains and could represent a risk factor for glaucomatous optic neuropathy. As IOP increased from 15 to 50 mmHg, principal strains in the model with a compliant sclera increased at a lower rate than in the model with a stiff sclera. We quantified the biomechanical environment within and around the optic nerve head region using a range of experimentally measured mechanical properties of sclera and at different IOPs. We showed that IOP-related strains within optic nerve head tissues can reach potentially biologically significant levels (capable of inducing a range of effects in glial cells) even at average levels of IOP and for typical human scleral biomechanical properties.

The global aim of this thesis was to assess retinal vascular reactivity in glaucoma patients using a standardised hypercapnic stimulus. There is a suggestion of disturbance in the regulation of retinal and optic nerve head (ONH) hemodynamics in patients with Primary Open Angle Glaucoma (POAG), although much of the work to-date has either been equivocal or speculative. Previous studies have used non-standardised hypercapnic stimuli to assess vascular reactivity. To explain, hypercapnia induces hyperventilation which disturbs arterial oxygen concentration, an effect that varies between individuals resulting in the non-standardised provocation of vascular reactivity. Therefore, a normoxic hypercapnic provocation was developed to avoid additional and potentially uncontrolled vasoconstriction in what is thought to be a vasospastic disease. The development of a safe, sustained and stable normoxic hypercapnic stimulus was essential for the assessment of retinal arteriolar vascular reactivity so that repeated hemodynamic measurements could be obtained. Furthermore, most techniques used to measure vascular reactivity do not comprehensively assess retinal hemodynamics, in terms of the simultaneous measurement of vessel diameter and blood velocity in order to calculate flow. In this respect, this study utilized a technique that quantitatively assesses retinal blood flow and vascular reactivity of the major arterioles in close proximity to the ONH. The stimulus and vascular reactivity quantification technique was validated in healthy controls and then was clinically applied in patients with POAG. Newly diagnosed patients with untreated POAG (uPOAG) were recruited in order to avoid any confounding pharmacological effects and patients with progressive POAG (pPOAG) were also selected since they are thought to likely manifest vascular dysregulation. Finally, the results of the functional vascular reactivity assessment were compared to those of systemic biochemical markers of endothelial function in patients with untreated and progressive POAG and in healthy controls. Overall summary A safe, sustained, stable and repeatable normoxic hypercapnic stimulus was developed, evaluated and validated. In terms of the physiology of retinal vascular regulation, the percent magnitude of vascular reactivity of the arterioles and capillaries was found to be comparable in terms of flow. The new stimulus was successfully applied in POAG and in healthy controls to assess vascular reactivity and was also compared to plasma levels of ET-1 and cGMP. In terms of the patho-physiology of POAG, the study revealed a clear impairment of vascular reactivity in the uPOAG and pPOAG groups. There were reduced levels of plasma ET-1 in the uPOAG and ntPOAG groups. In addition, treatment with Dorzolamide improved vascular reactivity in the ntPOAG group in the absence of any change in the expression of plasma ET-1 or cGMP. Future work will address this apparent contradiction between the outcome of the functional vascular reactivity assessment and the biochemical markers of endothelial function in newly diagnosed POAG patients treated with Dorzolamide. Aims of chapters  Chapter 3: To determine the effect of hypercapnia on retinal capillary blood flow in the macula and ONH using scanning laser Doppler flowmetry (SLDF) in young healthy subjects.  Chapter 4: To describe a new manual methodology that permits the comprehensive assessment of retinal arteriolar vascular reactivity in response to a sustained and stable hypercapnic stimulus. The secondary aim was to determine the magnitude of the vascular reactivity response of the retinal arterioles to hypercapnic provocation in young healthy subjects.  Chapter 5: To compare the magnitude of vascular reactivity of the retinal arterioles in terms of percentage change of flow to that of the retinal capillaries using a novel automated standardized methodology to provoke normoxic, or isoxic, hypercapnia.  Chapter 6: To determine the magnitude of retinal arteriolar vascular reactivity to normoxic hypercapnia in patients with untreated POAG (uPOAG), progressive POAG (pPOAG) and controls. The secondary aim was to determine retinal vascular reactivity in newly treated POAG (ntPOAG, i.e. after treatment with 2% Dorzolamide, twice daily for 2 weeks).  Chapter 7: To compare plasma endothelin-1 (ET-1) and cyclic guanosine monophosphate (cGMP) between groups of patients with untreated primary open angle glaucoma (uPOAG), progressive POAG (pPOAG), newly treated POAG (ntPOAG) and controls. The effect of normoxic hypercapnia on plasma ET-1 and cGMP was also assessed. The functional measures of retinal blood flow and vascular reactivity were correlated with systemic biochemical markers of endothelial function. Methods Chapters 3, 4 and 5 were conducted on young healthy control subjects, where as Chapters 6 and 7 were conducted on patients with glaucoma and healthy controls.  Chapter 3: Subjects breathed unrestricted air for 15 minutes (baseline) via a sequential gas delivery circuit and then the fractional (percent) end-tidal concentration of CO2 (FETCO2) was manually raised for 15 minutes by adding a low flow of CO2 to the inspired air. For the last 15 minutes, FETCO2 was returned to baseline values to establish a recovery period. Heidelberg Retina Flowmeter (HRF) images centered on both the ONH and the macula were acquired during each phase.  Chapter 4: Subjects breathed air via a sequential gas delivery circuit for 15 minutes and the air flow was then manually decreased so that subjects inspired gases from the rebreathing reservoir until a stable 10-15% increase in FETCO2 concentration was achieved for 20 minutes. Air flow rate was then manually elevated so that subjects breathed primarily from the fresh gas reservoir to return FETCO2 back to baseline for the last 15 minutes. Retinal arteriolar hemodynamics was assessed using the Canon Laser Blood Flowmeter (CLBF) during all three breathing phases.  Chapter 5: Normoxic, or isoxic, hypercapnia was induced using an automated gas flow controller (RespirActTM, Thornhill Research Inc. Toronto, Canada). Subjects breathed air with PETCO2 normalized at 38 mmHg. An increase in PETCO2 of 15% above baseline, whilst maintaining normoxia, was then implemented for 20 minutes and then PETCO2 was returned to baseline conditions for 10 minutes. Retinal and ONH hemodynamic measurements were performed using the CLBF and HRF in random order across sessions.  Chapter 6: Retinal arteriolar vascular reactivity was assessed in patients with uPOAG, pPOAG (defined by the occurrence of optic disc hemorrhage within the past 24 months) and controls during normoxic hypercapnia. Using the automated gas flow controller, patients breathed air for 10 mins and PETCO2 was maintained at 38mmHg. Following this normoxic hypercapnia (a 15% increase in PETCO2 while PETO2 was maintained at resting levels) was induced for 15 mins and then for the last 10 mins PETCO2 was returned to baseline (post-hypercapnia) to establish recovery blood flow values. Retinal arteriolar diameter, blood velocity and blood flow was assessed using the CLBF in both patient groups and controls. A similar paradigm was repeated in the newly treated POAG group (ntPOAG, i.e. after treatment with 2% Dorzolamide, twice daily for 2 weeks).  Chapter 7: Blood samples were collected from the cubital vein of all participants (uPOAG, pPOAG, ntPOAG and controls) during baseline conditions (PETCO2=38mmHg) and then during normoxic hypercapnia (i.e. a 15% increase in PETCO2 relative to the baseline) using the paradigm described for Chapter 6. ET-1 and cGMP was assessed using immunoassay. Results  Chapter 3: The group mean nasal macula capillary blood flow increased from 127.17 a.u. (SD 32.59) at baseline to 151.22 a.u. (SD 36.67) during hypercapnia (p=0.028), while foveal blood flow increased from 92.71 a.u. (SD 28.07) to 107.39 a.u. (SD 34.43) (p=0.042). There was a concomitant and uncontrolled +13% increase in the group mean PETO2 during the hypercapnic provocation of +14% increase in PETCO2.  Chapter 4: Retinal arteriolar diameter, blood velocity and blood flow increased by 3.2% (p=0.0045), 26.4% (p<0.0001) and 34.9% (p<0.0001), respectively during hypercapnia. There was a stable ¬+12% increase in PETCO2 during hypercapnia and a concomitant -6% decrease in PETO2.  Chapter 5: Using an automated gas flow controller the co-efficient of repeatability (COR) was 5% of the average PETCO2 at baseline and during normoxic hypercapnia. The COR for PETO2 was 10% and 7% of the average PETO2 at baseline and during normoxic hypercapnia, respectively. Group mean PETCO2 increased by approximately +14.4% and there was only a +4.3% increase in PETO2 during hypercapnia across both study sessions. Retinal arteriolar hemodynamics increased during hypercapnia (p<0.001). Similarly, there was an increase in the capillary blood flow of the temporal rim of the ONH (p<0.001), nasal macula (p<0.001) and foveal areas (p<0.006) during hypercapnia. A non-significant trend for capillary blood flow to increase in the macula temporal area (+8.2%) was noted. In terms of percentage change of blood flow, retinal capillary vascular reactivity (i.e. all 4 analyzed areas = 22.4%) was similar to the magnitude of arteriolar (= 24.9%) vascular reactivity.  Chapter 6: Retinal arteriolar diameter, blood velocity and flow did not increase during normoxic hypercapnia in uPOAG compared to controls. Diameter and blood velocity did not change in pPOAG during normoxic hypercapnia but there was a significant increase in blood flow (+9.1%, p=0.030). After treatment with 2% Dorzolamide for 2 weeks there was a 3% (p=0.040), 19% (p<0.001) and 26% (p<0.001) increase in diameter, velocity and flow, respectively, in the ntPOAG group. Group mean PETCO2 increased by approximately +15% in all the groups and there was only a +3% increase in PETO2 during hypercapnia.  Chapter 7: Plasma ET-1 levels were significantly different across groups at baseline (one way ANOVA; p=0.0012) and this was repeated during normoxic hypercapnia (one way ANOVA; p=0.0014). ET-1 levels were lower in uPOAG compared to pPOAG and controls at baseline and during normoxic hypercapnia (Tukey’s honestly significant difference test). Similarly, ntPOAG group also showed lower ET-1 levels compared to the pPOAG and controls at baseline and during normoxic hypercapnia (Tukey’s honestly significant difference test). The cGMP at baseline and during normoxic hypercapnia across all groups was not different. In the control group, the change in ET-1 during normoxic hypercapnia was negatively correlated with change in retinal arteriolar blood flow (r = -0.52, p=0.04), that is, as the change in ET-1 reduced, the change in blood flow increased. A weak correlation was noted between change in cGMP during normoxic hypercapnia and the change in arteriolar blood flow (r = +0.45, p=0.08). Conclusions  Chapter 3: Hypercapnia resulted in a quantifiable capillary vascular reactivity response in 2 of the 3 assessed retinal locations (i.e., nasal macula and fovea). There was no vascular reactivity response of the ONH. It is critical to minimise the concomitant change in PETO2 during hypercapnia in order to obtain robust vascular reactivity responses.  Chapter 4: A technique to comprehensively assess vascular reactivity during stable and sustained hypercapnia was described. Retinal arteriolar diameter, blood velocity and blood flow increased in response to hypercapnia. The vascular reactivity results of this study served as a reference for future studies using the hypercapnic provocation and CLBF. Also, the concomitant change in PETO2 using the partial rebreathing technique was reduced compared to the manual addition of CO2 technique described in Chapter 3 but was still greater than optimal.  Chapter 5: A new automated gas flow controller was used to induce standardised normoxic, or isoxic, hypercapnia. The magnitude of vascular reactivity in both retinal arterioles and capillaries in response to the new hypercapnic stimulus was robust compared to the previous stimuli. There was a clear ONH vascular reactivity response in this study, unlike the result attained in Chapter 3. Although theoretically it is predictable that the percent magnitude of vascular reactivity of the arterioles and capillaries should be similar, this is the first study to show that they are indeed comparable. The magnitude of hypercapnia was repeatable and the concomitant change in PETO2 was minimal and physiologically insignificant.  Chapter 6: The normal response of the retinal arterioles and capillaries to normoxic hypercapnia is impaired in both uPOAG and pPOAG compared to controls. Short term treatment with 2% topical Dorzolamide for two weeks improved retinal vascular reactivity in ntPOAG. However, it is still unclear whether this improvement is a direct effect of Dorzolamide or as a secondary effect of the decrease in intraocular pressure (IOP).  Chapter 7: We found a reduction in the plasma ET-1 at baseline and during normoxic hypercapnia in the uPOAG and in the ntPOAG groups. This is the first study to show a lower plasma ET-1 level in uPOAG. The fact that this finding was repeated after 2 weeks treatment with Dorzolamide in the ntPOAG group further validates these results. It also suggests that Dorzolamide treatment does not impact ET-1 and cGMP measures, although it clearly results in an improvement of vascular reactivity. Correlation results suggest that as the change in ET-1 reduced during normoxic hypercapnia, the change in blood flow increased in the controls.

The global aim of this thesis was to assess retinal vascular reactivity in glaucoma patients using a standardised hypercapnic stimulus. There is a suggestion of disturbance in the regulation of retinal and optic nerve head (ONH) hemodynamics in patients with Primary Open Angle Glaucoma (POAG), although much of the work to-date has either been equivocal or speculative. Previous studies have used non-standardised hypercapnic stimuli to assess vascular reactivity. To explain, hypercapnia induces hyperventilation which disturbs arterial oxygen concentration, an effect that varies between individuals resulting in the non-standardised provocation of vascular reactivity. Therefore, a normoxic hypercapnic provocation was developed to avoid additional and potentially uncontrolled vasoconstriction in what is thought to be a vasospastic disease. The development of a safe, sustained and stable normoxic hypercapnic stimulus was essential for the assessment of retinal arteriolar vascular reactivity so that repeated hemodynamic measurements could be obtained. Furthermore, most techniques used to measure vascular reactivity do not comprehensively assess retinal hemodynamics, in terms of the simultaneous measurement of vessel diameter and blood velocity in order to calculate flow. In this respect, this study utilized a technique that quantitatively assesses retinal blood flow and vascular reactivity of the major arterioles in close proximity to the ONH. The stimulus and vascular reactivity quantification technique was validated in healthy controls and then was clinically applied in patients with POAG. Newly diagnosed patients with untreated POAG (uPOAG) were recruited in order to avoid any confounding pharmacological effects and patients with progressive POAG (pPOAG) were also selected since they are thought to likely manifest vascular dysregulation. Finally, the results of the functional vascular reactivity assessment were compared to those of systemic biochemical markers of endothelial function in patients with untreated and progressive POAG and in healthy controls. Overall summary A safe, sustained, stable and repeatable normoxic hypercapnic stimulus was developed, evaluated and validated. In terms of the physiology of retinal vascular regulation, the percent magnitude of vascular reactivity of the arterioles and capillaries was found to be comparable in terms of flow. The new stimulus was successfully applied in POAG and in healthy controls to assess vascular reactivity and was also compared to plasma levels of ET-1 and cGMP. In terms of the patho-physiology of POAG, the study revealed a clear impairment of vascular reactivity in the uPOAG and pPOAG groups. There were reduced levels of plasma ET-1 in the uPOAG and ntPOAG groups. In addition, treatment with Dorzolamide improved vascular reactivity in the ntPOAG group in the absence of any change in the expression of plasma ET-1 or cGMP. Future work will address this apparent contradiction between the outcome of the functional vascular reactivity assessment and the biochemical markers of endothelial function in newly diagnosed POAG patients treated with Dorzolamide. Aims of chapters  Chapter 3: To determine the effect of hypercapnia on retinal capillary blood flow in the macula and ONH using scanning laser Doppler flowmetry (SLDF) in young healthy subjects.  Chapter 4: To describe a new manual methodology that permits the comprehensive assessment of retinal arteriolar vascular reactivity in response to a sustained and stable hypercapnic stimulus. The secondary aim was to determine the magnitude of the vascular reactivity response of the retinal arterioles to hypercapnic provocation in young healthy subjects.  Chapter 5: To compare the magnitude of vascular reactivity of the retinal arterioles in terms of percentage change of flow to that of the retinal capillaries using a novel automated standardized methodology to provoke normoxic, or isoxic, hypercapnia.  Chapter 6: To determine the magnitude of retinal arteriolar vascular reactivity to normoxic hypercapnia in patients with untreated POAG (uPOAG), progressive POAG (pPOAG) and controls. The secondary aim was to determine retinal vascular reactivity in newly treated POAG (ntPOAG, i.e. after treatment with 2% Dorzolamide, twice daily for 2 weeks).  Chapter 7: To compare plasma endothelin-1 (ET-1) and cyclic guanosine monophosphate (cGMP) between groups of patients with untreated primary open angle glaucoma (uPOAG), progressive POAG (pPOAG), newly treated POAG (ntPOAG) and controls. The effect of normoxic hypercapnia on plasma ET-1 and cGMP was also assessed. The functional measures of retinal blood flow and vascular reactivity were correlated with systemic biochemical markers of endothelial function. Methods Chapters 3, 4 and 5 were conducted on young healthy control subjects, where as Chapters 6 and 7 were conducted on patients with glaucoma and healthy controls.  Chapter 3: Subjects breathed unrestricted air for 15 minutes (baseline) via a sequential gas delivery circuit and then the fractional (percent) end-tidal concentration of CO2 (FETCO2) was manually raised for 15 minutes by adding a low flow of CO2 to the inspired air. For the last 15 minutes, FETCO2 was returned to baseline values to establish a recovery period. Heidelberg Retina Flowmeter (HRF) images centered on both the ONH and the macula were acquired during each phase.  Chapter 4: Subjects breathed air via a sequential gas delivery circuit for 15 minutes and the air flow was then manually decreased so that subjects inspired gases from the rebreathing reservoir until a stable 10-15% increase in FETCO2 concentration was achieved for 20 minutes. Air flow rate was then manually elevated so that subjects breathed primarily from the fresh gas reservoir to return FETCO2 back to baseline for the last 15 minutes. Retinal arteriolar hemodynamics was assessed using the Canon Laser Blood Flowmeter (CLBF) during all three breathing phases.  Chapter 5: Normoxic, or isoxic, hypercapnia was induced using an automated gas flow controller (RespirActTM, Thornhill Research Inc. Toronto, Canada). Subjects breathed air with PETCO2 normalized at 38 mmHg. An increase in PETCO2 of 15% above baseline, whilst maintaining normoxia, was then implemented for 20 minutes and then PETCO2 was returned to baseline conditions for 10 minutes. Retinal and ONH hemodynamic measurements were performed using the CLBF and HRF in random order across sessions.  Chapter 6: Retinal arteriolar vascular reactivity was assessed in patients with uPOAG, pPOAG (defined by the occurrence of optic disc hemorrhage within the past 24 months) and controls during normoxic hypercapnia. Using the automated gas flow controller, patients breathed air for 10 mins and PETCO2 was maintained at 38mmHg. Following this normoxic hypercapnia (a 15% increase in PETCO2 while PETO2 was maintained at resting levels) was induced for 15 mins and then for the last 10 mins PETCO2 was returned to baseline (post-hypercapnia) to establish recovery blood flow values. Retinal arteriolar diameter, blood velocity and blood flow was assessed using the CLBF in both patient groups and controls. A similar paradigm was repeated in the newly treated POAG group (ntPOAG, i.e. after treatment with 2% Dorzolamide, twice daily for 2 weeks).  Chapter 7: Blood samples were collected from the cubital vein of all participants (uPOAG, pPOAG, ntPOAG and controls) during baseline conditions (PETCO2=38mmHg) and then during normoxic hypercapnia (i.e. a 15% increase in PETCO2 relative to the baseline) using the paradigm described for Chapter 6. ET-1 and cGMP was assessed using immunoassay. Results  Chapter 3: The group mean nasal macula capillary blood flow increased from 127.17 a.u. (SD 32.59) at baseline to 151.22 a.u. (SD 36.67) during hypercapnia (p=0.028), while foveal blood flow increased from 92.71 a.u. (SD 28.07) to 107.39 a.u. (SD 34.43) (p=0.042). There was a concomitant and uncontrolled +13% increase in the group mean PETO2 during the hypercapnic provocation of +14% increase in PETCO2.  Chapter 4: Retinal arteriolar diameter, blood velocity and blood flow increased by 3.2% (p=0.0045), 26.4% (p<0.0001) and 34.9% (p<0.0001), respectively during hypercapnia. There was a stable ¬+12% increase in PETCO2 during hypercapnia and a concomitant -6% decrease in PETO2.  Chapter 5: Using an automated gas flow controller the co-efficient of repeatability (COR) was 5% of the average PETCO2 at baseline and during normoxic hypercapnia. The COR for PETO2 was 10% and 7% of the average PETO2 at baseline and during normoxic hypercapnia, respectively. Group mean PETCO2 increased by approximately +14.4% and there was only a +4.3% increase in PETO2 during hypercapnia across both study sessions. Retinal arteriolar hemodynamics increased during hypercapnia (p<0.001). Similarly, there was an increase in the capillary blood flow of the temporal rim of the ONH (p<0.001), nasal macula (p<0.001) and foveal areas (p<0.006) during hypercapnia. A non-significant trend for capillary blood flow to increase in the macula temporal area (+8.2%) was noted. In terms of percentage change of blood flow, retinal capillary vascular reactivity (i.e. all 4 analyzed areas = 22.4%) was similar to the magnitude of arteriolar (= 24.9%) vascular reactivity.  Chapter 6: Retinal arteriolar diameter, blood velocity and flow did not increase during normoxic hypercapnia in uPOAG compared to controls. Diameter and blood velocity did not change in pPOAG during normoxic hypercapnia but there was a significant increase in blood flow (+9.1%, p=0.030). After treatment with 2% Dorzolamide for 2 weeks there was a 3% (p=0.040), 19% (p<0.001) and 26% (p<0.001) increase in diameter, velocity and flow, respectively, in the ntPOAG group. Group mean PETCO2 increased by approximately +15% in all the groups and there was only a +3% increase in PETO2 during hypercapnia.  Chapter 7: Plasma ET-1 levels were significantly different across groups at baseline (one way ANOVA; p=0.0012) and this was repeated during normoxic hypercapnia (one way ANOVA; p=0.0014). ET-1 levels were lower in uPOAG compared to pPOAG and controls at baseline and during normoxic hypercapnia (Tukey’s honestly significant difference test). Similarly, ntPOAG group also showed lower ET-1 levels compared to the pPOAG and controls at baseline and during normoxic hypercapnia (Tukey’s honestly significant difference test). The cGMP at baseline and during normoxic hypercapnia across all groups was not different. In the control group, the change in ET-1 during normoxic hypercapnia was negatively correlated with change in retinal arteriolar blood flow (r = -0.52, p=0.04), that is, as the change in ET-1 reduced, the change in blood flow increased. A weak correlation was noted between change in cGMP during normoxic hypercapnia and the change in arteriolar blood flow (r = +0.45, p=0.08). Conclusions  Chapter 3: Hypercapnia resulted in a quantifiable capillary vascular reactivity response in 2 of the 3 assessed retinal locations (i.e., nasal macula and fovea). There was no vascular reactivity response of the ONH. It is critical to minimise the concomitant change in PETO2 during hypercapnia in order to obtain robust vascular reactivity responses.  Chapter 4: A technique to comprehensively assess vascular reactivity during stable and sustained hypercapnia was described. Retinal arteriolar diameter, blood velocity and blood flow increased in response to hypercapnia. The vascular reactivity results of this study served as a reference for future studies using the hypercapnic provocation and CLBF. Also, the concomitant change in PETO2 using the partial rebreathing technique was reduced compared to the manual addition of CO2 technique described in Chapter 3 but was still greater than optimal.  Chapter 5: A new automated gas flow controller was used to induce standardised normoxic, or isoxic, hypercapnia. The magnitude of vascular reactivity in both retinal arterioles and capillaries in response to the new hypercapnic stimulus was robust compared to the previous stimuli. There was a clear ONH vascular reactivity response in this study, unlike the result attained in Chapter 3. Although theoretically it is predictable that the percent magnitude of vascular reactivity of the arterioles and capillaries should be similar, this is the first study to show that they are indeed comparable. The magnitude of hypercapnia was repeatable and the concomitant change in PETO2 was minimal and physiologically insignificant.  Chapter 6: The normal response of the retinal arterioles and capillaries to normoxic hypercapnia is impaired in both uPOAG and pPOAG compared to controls. Short term treatment with 2% topical Dorzolamide for two weeks improved retinal vascular reactivity in ntPOAG. However, it is still unclear whether this improvement is a direct effect of Dorzolamide or as a secondary effect of the decrease in intraocular pressure (IOP).  Chapter 7: We found a reduction in the plasma ET-1 at baseline and during normoxic hypercapnia in the uPOAG and in the ntPOAG groups. This is the first study to show a lower plasma ET-1 level in uPOAG. The fact that this finding was repeated after 2 weeks treatment with Dorzolamide in the ntPOAG group further validates these results. It also suggests that Dorzolamide treatment does not impact ET-1 and cGMP measures, although it clearly results in an improvement of vascular reactivity. Correlation results suggest that as the change in ET-1 reduced during normoxic hypercapnia, the change in blood flow increased in the controls.

Several research groups have applied elevated hydrostatic pressure to ONH astrocytes cultured on a rigid substrate as an in vitro model for glaucoma. These studies have shown significant biological effects and this hydrostatic pressure model is now becoming generally accepted in the ophthalmic community. However, since the applied pressures were modest the finding of significant biological effects due to pressure alone is surprising. We hypothesized that the application of hydrostatic pressure as described in these studies also altered gas tensions in the culture media. Our goal was to design equipment and carry out experiments to separate the biologic effects of pressure from those of hypoxia on cultured astrocytes. We designed equipment and carried out experiments to subject cultures of DITNC1 astrocytes to the four combinations of two levels of each parameter. We explored the morphology and migration rates of astrocytes, but observed no significant change in any of these properties.

Glaucoma is a common cause of blindness worldwide, yet the etiology of the disease is unclear. A leading hypothesis is that elevated intraocular pressure (IOP) affects the biomechanical environment within the tissues of the optic nerve head (ONH), and that the altered biomechanical environment contributes to optic nerve damage and consequent loss of vision. The biomechanical environment of the ONH is strongly dependent on the biomechanical properties of sclera, particularly scleral stiffness. However there is significant variability in reported stiffness data for human sclera. Therefore, our research goal was to measure the stiffness of human sclera and incorporate this information into finite element models of the human eye to characterize and quantify the biomechanical environment within and around the optic nerve head region at different IOP levels. Human sclera adjacent to the optic nerve head showed highly nonlinear, nearly isotropic and heterogeneous stiffness which was found to be substantially lower than that previously assumed, particularly at lower levels of IOP. The products c*c1 and c*c2, measures of stiffness in the latitudinal and longitudinal directions from the Fung constitutive model, were 2.9 ± 2.0 MPa and 2.8 ± 1.9 MPa, respectively, and were not significantly different (two-sided t-test; p = 0.795). Scleral stiffness was not statistically different between left and right eyes of an individual (p = 0.952) and amongst the quadrants of an eye (p = 0.412 and p = 0.456 in latitudinal and longitudinal directions, respectively). Three stress-strain relationships consistent with the 5th, 50th and 95th percentiles of the measured scleral stiffness distribution were selected as representatives of compliant, median and stiff scleral properties and were implemented in a generic finite element model of the eye using a hyperelastic five-parameter Mooney-Rivlin material model. Models were solved for IOPs of 15, 25 and 50 mmHg. The magnitudes of strains at the optic nerve head region were substantial at even the lowest applied IOP (15 mmHg) and increased at elevated IOPs (e.g. the third principal strain in the compliant model reached as much as 5.25% in the lamina cribrosa at 15mmHg and 8.84% in the lamina cribrosa at 50 mmHg). Scleras that are “weak”, but still within the physiologic range, are predicted to lead to appreciably increased optic nerve head strains and could represent a risk factor for glaucomatous optic neuropathy. As IOP increased from 15 to 50 mmHg, principal strains in the model with a compliant sclera increased at a lower rate than in the model with a stiff sclera. We quantified the biomechanical environment within and around the optic nerve head region using a range of experimentally measured mechanical properties of sclera and at different IOPs. We showed that IOP-related strains within optic nerve head tissues can reach potentially biologically significant levels (capable of inducing a range of effects in glial cells) even at average levels of IOP and for typical human scleral biomechanical properties.

Yes / We have read with interest the recent article by Sponsel et al.1 There is much evidence that glaucomatous damage occurs at the optic nerve head,2 and therefore we were surprised by the authors' conjecture that there may be a central mechanism that preserves the binocular visual field in advanced glaucoma.

Yes / Purpose: We evaluated variability and conviction in tracing paths of retinal nerve fiber bundles (RNFBs) in retinal images, and compared traced paths to a computational model that produces anatomically-customized structure–function maps. Methods: Ten retinal images were overlaid with 24-2 visual field locations. Eight clinicians and 6 naïve observers traced RNFBs from each location to the optic nerve head (ONH), recording their best estimate and certain range of insertion. Three clinicians and 2 naïve observers traced RNFBs in 3 images, 3 times, 7 to 19 days apart. The model predicted 10° ONH sectors relating to each location. Variability and repeatability in best estimates, certain range width, and differences between best estimates and model-predictions were evaluated. Results: Median between-observer variability in best estimates was 27° (interquartile range [IQR] 20°–38°) for clinicians and 33° (IQR 22°–50°) for naïve observers. Median certain range width was 30° (IQR 14°–45°) for clinicians and 75° (IQR 45°–180°) for naïve observers. Median repeatability was 10° (IQR 5°–20°) for clinicians and 15° (IQR 10°–29°) for naïve observers. All measures were worse further from the ONH. Systematic differences between model predictions and best estimates were negligible; median absolute differences were 17° (IQR 9°–30°) for clinicians and 20° (IQR 10°–36°) for naïve observers. Larger departures from the model coincided with greater variability in tracing. Conclusions: Concordance between the model and RNFB tracing was good, and greatest where tracing variability was lowest. When RNFB tracing is used for structure–function mapping, variability should be considered.