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. 2026 Feb 26;67(2):56. doi: 10.1167/iovs.67.2.56

Photodisruption of the Inner Limiting Membrane Promotes Retinal Engraftment of Stem-Cell Derived Retinal Ganglion Cells

Emma De Coster 1, Kaat De Clerck 1, Chloë De Clercq 1, Weiran Li 1, Deep Punj 1, Bernd Vanmeerhaeghe 1, Jonie Verdonck 1, Stefaan De Smedt 1, Kevin Braeckmans 1, Hanieh Hadady 2, Katrien Remaut 1, Thomas V Johnson 2, Karen Peynshaert 1,
PMCID: PMC12950967  PMID: 41746124

Abstract

Purpose

The purpose of this study is to address the challenge of limited donor retinal ganglion cell (RGC) migration into the retina after transplantation, which is largely due to donor neuron accumulation at the inner limiting membrane (ILM). We present a minimally invasive technique, ILM photodisruption, to locally ablate the ILM and thereby promote RGC engraftment.

Methods

ILM photodisruption uses indocyanine green as a photosensitizer, which is delivered to the ILM and activated with ultra-short laser pulses. This process generates vapor nanobubbles (VNBs) that, upon collapse, create localized disruptions in the ILM. In this study, we finetuned this technology in bovine and postmortem human organotypic retinal explants to generate patterned ILM pores. To assess the impact of these photodisruption patterns on RGC transplantation, we applied induced pluripotent stem cell (iPSC)-derived RGCs to the ILM surface and co-cultured them for 7 days. Using advanced microscopy and spatial metric tools, we assessed donor RGC survival, spreading, and neurite localization. We compared ILM photodisruption to a current standard method of enzymatically digesting the ILM.

Results

ILM photodisruption was highly effective in creating pores in both the bovine ILM and the thicker, more complex human ILM. In contrast, collagenase treatment had no effect on the human ILM. Both collagenase and ILM photodisruption significantly promoted donor RGC survival, enhanced cell spreading, and resulted in more neurites that extended deeper into the retina.

Conclusions

Our findings demonstrate that ILM photodisruption can overcome a key barrier in RGC replacement therapy and, as such, may help advance vision restoration strategies for glaucoma.

Keywords: glaucoma, inner limiting membrane (ILM) photodisruption, transplantation, stem cell therapy, collagenase


Glaucoma is the leading cause of irreversible blindness worldwide, with an estimated global prevalence of 76 million individuals.1,2 As a consequence of our aging society, glaucoma prevalence is predicted to nearly double by 2040, which underscores the pressing need for more effective treatments.3,4 The primary hallmark of glaucoma and other optic neuropathies is the progressive and irreversible loss of retinal ganglion cells (RGCs). As the projection neurons of the retina, RGCs are solely responsible for transmitting visual information from the eye to the brain; a task that requires them to extend long axons through the optic nerves and tracts and to synapse within subcortical targets of the visual system. Considering this essential function, it is not surprising that the loss of these neurons causes permanent vision loss, and can eventually lead to total blindness.4,5

Because elevated intraocular pressure (IOP) is the most important modifiable risk factor for glaucoma, current clinical treatments largely focus on delaying vision impairment by lowering the IOP through administration of drugs, laser treatments, or surgeries.4,6 Yet, many patients develop significant vision loss prior to diagnosis and lowering IOP does not always halt disease progression.4 Aware of these limitations, investigators are exploring alternative therapies such as neuroprotective strategies to prolong RGC survival and/or to provide support to the remaining neurons.4 Importantly, no existing glaucoma therapy can compensate for RGC death and hence reverse blindness. However, progress in the field of stem cell biology and neuroscience over the past 20 years has set the stage for exogenous replacement of lost neurons by transplantation of stem cell-derived RGCs to be feasible. This concept was substantiated by several pioneering studies, which suggested that intravitreally injected donor RGCs engrafted into the retina, acquired the correct morphology, and responded to light.5,79 Whereas subsequent encouraging studies substantiated the feasibility of RGC transplantation, they also revealed several challenges hampering its translation to human patients. Examples include the scaling up of RGC production and suboptimal functional connectivity of donor RGCs within the host retina circuitry.5,1012

Another dominant bottleneck hampering efficient RGC transplantation is inefficient migration of the donor RGCs from the vitreous into the retina due to the presence of the inner limiting membrane (ILM) which forms a physical border between the vitreous and the retina (Fig. 1).11,13,14 Its composition is that of a true basement membrane, composed of collagen IV, laminin, glycoproteins, and heparan sulphate proteoglycans.15,16 Indeed, the majority of intravitreally injected cells accumulate at the ILM, resulting in negligible spontaneous cell migration into the retina.5,11,17 The ILM presents such a formidable barrier that some investigators have resorted to subretinal injection as an alternative method to deliver RGCs to the inner retina.18 Nevertheless, it is also important to note that basement membranes are more than “pretty fibrils”19; they are now known to regulate many fundamental biological processes through membrane-cell interactions.20,21 The ILM is no exception. The ILM is essential during retinal histogenesis,22,23 where ILM-RGC interactions mediate coordinated patterning of the RGC layer as well as correct dendritic projection. Loss of ILM components, like laminin or fibronectin, results in defects in axon orientation and elicits the formation of RGC aggregates rather than the normal murine single cell layer.13,24 Interestingly, RGC transplantation shares similarities to retinal development, as donor RGC somata that arrive in the retina need instructive signals to orient themselves and their neurites effectively. Thus, ILM components may be essential to achieve functional integration within the visual neurocircuitry.11,13,2426 This renders the role of the ILM toward RGC transplantation conflicting: on the one hand its components likely function as essential cues for RGC maturation and functional integration into the retina, yet, on the other hand, it serves as a physical barrier for cell entry, necessitating interventions for stem cells to effectively traverse it.2629

Figure 1.

Figure 1.

Schematic representation of the hampered migration of donor RGC from the vitreous into the retina due to the presence of the ILM and confocal image (40x objective) of cryosection of untreated bovine retinal explant. The ILM and blood vessels were immunostained with laminin (red), all nuclei were stained with Hoechst (blue). Created with BioRender.com.

In context of this and the barrier role of the ILM for other therapeutic classes,16,3032 several groups have explored strategies to disrupt the ILM or evade it altogether, including enzymatic digestion,29,33,34 ILM peeling,35 and mechanical disruption.17 Digestion of the ILM using enzymes like pronase has been shown to boost engraftment of stem cell-derived RGCs within the murine retina, by reducing clustering and increasing retinal dendritic ingrowth.29,36,37 However, the therapeutic window for enzymatic ILM degradation is narrow and retinal toxicity has been observed.13,29,33 In the context of retinal gene therapy, investigators aimed to enhance the retinal delivery of intravitreally injected adeno-associated vectors (AAVs) by surgically removing the ILM altogether.35,38 Although it is an established surgical technique used in human patients to treat vitreomacular traction and is highly effective in enhancing retinal transduction,17 ILM peeling is invasive and may harm the underlying structures, potentially limiting its application for RGC transplantation.39,40 Taken together, there has been no methodology to precisely modify the integrity of the ILM.

As an alternative strategy, we have developed a biophotonic approach to locally disrupt the ILM in a highly controlled manner based on “photoporation,” a concept we initially developed for permeabilization of cell membranes to promote intracellular delivery of biologics.4143 Our light-based approach relies on the creation of vapor nanobubbles (VNBs) induced by irradiating photosensitizers with high-intensity short laser pulses.44,45 First, the photosensitizer indocyanine green (ICG) is applied to the ILM surface of the retina, followed by application of extremely short laser pulses (<7 ns). This creates an ultrafast increase in temperature, resulting in evaporation of the surrounding water. Consequently, nanoscopic VNBs are generated and expand by consuming thermal energy. Upon their collapse, high-pressure shock waves are released which can mechanically create pores in the ILM (Fig. 2). For ILM photodisruption specifically, the US Food and Drug Administration (FDA)-approved organic dye ICG is an ideal photosensitizer, as it is established in the ophthalmologic field as a dye to stain the ILM during surgical ILM peeling. Moreover, its favorable spectral properties operating in the near-infrared (NIR) range are beneficial in an in vivo setting.46

Figure 2.

Figure 2.

Schematic representation of ICG-mediated ILM photodisruption. Upon applying a nanosecond laser pulse, vapor nanobubbles (VNBs) emerge where ICG has accumulated at the ILM. The subsequent collapse of the VNBs induces local disruption of the ILM, creating pores and allowing the donor RGCs to enter the retina. This light-based technique features a lot of spatial control, enabling targeted disruptions of the ILM. Created with BioRender.com.

An important strength of (ICG-mediated) ILM photodisruption in comparison to the other reported strategies is tunability, as we have found that adjusting the ICG concentration and laser pulse energy allows us to control the extent of VNB formation and hence the degree of ILM disruption. Another important feature is its precise spatial control, enabling the targeting of specific retinal regions and even the creation of ILM breaks in a programmed pattern. We hypothesized that ILM photodisruption may be leveraged as a unique technique to controllably manipulate the ILM in such a way that it is overcome as a delivery barrier but leaves enough ILM intact to function as a guiding cue for newly transplanted RGCs. We therefore searched for a pattern that keeps most of the ILM intact, by varying the concentration of the photothermal agent ICG. To do so, we evaluated ILM integrity (i.e. pore diameter, pore area, and percentage of intact ILM) following photodisruption in bovine retinal explants. In addition, we verified our observations on the thicker human ILM, thereby demonstrating species-specific differences in ILM response to photodisruption. Furthermore, we demonstrated the positive impact of our light-based approach on RGC transplantation in the bovine retina, evidenced by improved RGC survival, cell spreading, regularity, and neurite formation. We compared the effects of photodisruption to those of collagenase, an ILM-digesting enzyme currently considered the state-of-the-art method for ILM removal and used here as a positive control. Finally, we assessed the safety of the different approaches by examining retinal thinning, RNA-binding protein with multiple splicing (RBPMS) and gliotic markers.

Materials and Methods

Differentiation and Purification of Human Induced Pluripotent Stem Cell-Derived RGCs

RGCs were derived from human induced pluripotent stem cells (hiPSCs) carrying genes for tdTomato and the murine cell-surface protein CD90.2/THY1.2 driven by the endogenous POU4F2 (BRN3B) promoter, as described by Sluch et al.4750 Briefly, the episomal derived EP1 hiPSC line49,51 was maintained by clonal propagation in mTeSR 1 medium (Stem Cell Technologies) on growth factor‐reduced Matrigel-coated (Corning) 6-well plates in an incubator at 37°C in 5% CO2. At day 0, hiPSCs were replated on new Matrigel-coated plates (Corning) in mTeSR Plus medium (StemCell Technologies) followed by replacement of this medium on day 1 by supplemented Neurobasal A medium. Next, to initiate and promote differentiation, a set of small molecules was added to the cells in a well-established time schedule for a period of up to 40 days. The working concentrations of small molecules were: Forskolin (25 µM; Millipore-Sigma), Dorsomorphin (1 µM; Stem Cell Technologies), inducer of definitive endoderm 2 (2.5 µM; R&D Systems), DAPT (10 µM; Millipore-Sigma), and Nicotinamide (10 mM; Millipore-Sigma). Following differentiation, RGCs were isolated using magnetic activated cell sorting (MACS) by targeting the surface antigen Thy 1.2.29,47 The same batch of hiPSC-derived RGCs was used for all experiments described in this paper. All transplanted hRGCs are of an immature phenotype lacking subtype specificity, as previously demonstrated by single cell transcriptomics.52

Bovine Retinal Explant Dissection

The protocol of bovine explant dissection was performed as described previously,44 minor alternations are listed below. Briefly, fresh bovine eyes were obtained from a local slaughterhouse and transported in cold CO2 independent medium (Gibco). After discarding all extra-ocular tissue and disinfecting the eyes in 20% ethanol, the anterior segment and the vitreous were removed. While the posterior segment was submerged in cold CO2 independent medium, the eye cup was flattened by making three relaxing incisions. To isolate 11 mm explants for laser treatment, a corneal trephine blade of 11 mm in diameter (Beaver) was used, whereas a 5 mm trephine (Electron Microscopy Sciences) was utilized to obtain 5 mm explants for cryosectioning or flatmounts. Explants were consistently dissected from the same bovine eye regions, ensuring comparable endogenous RGC densities. The optimal pore diameter, pore area, and percentage of intact ILM were assessed across 13 different bovine retinal explants. The transplantation experiment with 20,000 RGCs was conducted on 15 retinal explants, whereas the experiment with 33,000 RGCs was performed on 21 retinal explants.

Human Retinal Explant Dissection

Human retinal explants were prepared according to our previously published protocol.44 Postmortem human eyes were obtained from Biobank Antwerpen (Antwerp, Belgium; ID: BE 71030031000) and Ghent University Hospital. Protocols were approved by the Ethical Committee of Ghent University Hospital (dossier number: B670201837281; EC/2018/1071). Eyes were kept in CO2 independent medium (Gibco) at 4°C until dissection. First, the anterior segment was removed by cutting through the sclera and the vitreous. Using forceps, the eyecup was placed upside down with the optic nerve upward. While holding the optic nerve region tight with forceps, the optic nerve area was then excised from the outside. Next, the retina with the vitreous attached was removed from the eyecup and flattened using a soft paintbrush. Several 5-mm diameter retinal explants were then punched out using a corneal trephine blade of 5 mm in diameter (Electron Microscopy Sciences). In particular, 5 mm explants were derived from the near peripheral region where the ILM is at its thickest, thus avoiding the thin ILM in the region of the fovea centralis.53 Subsequently, the vitreous was removed by sticking a dry piece of filter paper to the photoreceptor side of the retina after which the vitreous could be gently removed using forceps. Subsequently, the 5-mm diameter explant was detached from the filter paper by placing it in cold CO2 independent medium. The human retinal explants investigated in the photodisruption experiments were from 5 different donors aged 65 to 78 years (i.e. a man aged 65 years, a woman aged 72 years, a woman aged 74 years, a man aged 76 years, and a man aged 78 years), whereas the human retinal explants for the collagenase experiments were obtained from 3 different donors (a man aged 49 years, a man aged 70 years, and a man aged 75 years). Both eyes of each human donor were examined in this study.

Laser Treatment of Bovine and Human Explants

ICG (Merck) was dissolved in distilled water at concentrations ranging from 0.10 mg/mL to 1.00 mg/mL and protected from light until use. A fresh solution was prepared for each experiment. Based on pore size optimization experiments with varying ICG concentrations, we determined that an ICG concentration of 0.25 mg/mL was optimal and used this concentration for all hiPSC-RGC transplantation experiments. Retinal explants with a diameter of 11 mm, were transferred into a 35-mm glass bottom dish (Nunc) with the ILM surface upward. Next, the dish was placed in the optical setup and 20 µl of ICG solution was applied to the top of the explant. Laser treatment was performed immediately after ICG application. A custom-made optical setup, built around an inverted TE2000 epi-fluorescence microscope (Nikon), was used to generate and detect VNBs. In this setup, a 7 ns pulsed laser with a laser beam size of 92 µm was tuned to a wavelength of 800 nm (Opolette HE 355 LD; OPOTEK Inc.). The energy of the laser pulses was monitored with an energy meter (J-25MB-HE&LE, Energy Max-USB/RS sensors; Coherent). In all experiments, the same laser fluence of 1.65 J/cm2 was applied. An automatic Prior Proscan III stage (Prior Scientific Ltd.) was used to scan the sample through the distinct photodisruption pattern with a scanning speed of 2500 µm/s and an electronic pulse generator (BNC575; Berkeley Nucleonics Corporation) was applied to fire single laser pulses. The total scanning time of one 11-mm retinal explant was approximately 15 minutes. Immediately, after laser treatment, two 5-mm diameter explants were punched out of each 11 mm explant. Then, explants were either fixed immediately or cultured for 8 days with the ILM side upward.

Collagenase Treatment of Bovine and Human Explants

Collagenase type I (Sigma Aldrich - product number C0130 - batch number SLCN7779) was diluted in phosphate-buffered saline (PBS; without calcium and magnesium) to reach the desired activities (varying from 50 U/mL to 200 U/mL). The activity reported by the manufacturer was checked using an EnzChek Gelatinase/Collagenase Assay Kit. The same batch of collagenase was used for all experiments. For the RGC transplantation experiments, 5 µl of 50 U/mL collagenase was applied to the ILM surface of each 5 mm explant. After 24 hours of incubation at 37°C and 5% CO2, the collagenase solution was washed away with an excess of PBS. Afterward, explants were fixed immediately or placed into culture for 7 more days.

Culturing Bovine and Human Explants

The 5 mm explants were cultured with the ILM side upward in culture inserts (Millipore) in 6-well plates with retinal culture medium composed of Neurobasal-A, N2-supplement, B27-supplement, glutaMAX supplement, and penicillin-streptomycin.54 Half of the culture medium (i.e. 1.5 mL) was exchanged every other day. Explants were cultured at 37°C and 5% CO2.

Retinal Ganglion Cell Transplantation in Bovine Explants

One day after photodisruption or collagenase treatment, hiPSC-derived RGCs were thawed and mixed with retinal culture medium to obtain a single cell suspension of 20,000 or 33,000 RGCs per 3 µl. This volume of 3 µl cell suspension was pipetted onto the ILM surface of each 5-mm diameter bovine explant and was cocultured for 7 days, as illustrated in Figure 3. In a 96-well plate coated with laminin and poly-L-ornithine (PLO),54 8000 RGCs (from the same vial as the transplantation) were cultured for 7 days to compare RGC survival and clustering.

Figure 3.

Figure 3.

Schematic representation of the experimental design. The explants were treated (i.e. photodisruption or collagenase treatment) immediately following isolation. In pink, the integrity of the ILM is visualized. On the ILM side of each pre-treated bovine retinal flatmount, 20.000 or 33.000 hiPSC-derived RGCs were transplanted. Donor RGCs were cocultured for 7 days at 37°C followed by fixation, immunostaining and confocal imaging. Created with BioRender.com.

Immunohistochemistry on Bovine and Human Flatmounts

After treatment and/or (co-)culture, immunohistochemistry was performed on the retinal flatmounts according to previously described methods.29,54,55 Briefly, retinal flatmounts were fixed with 4% paraformaldehyde (PFA) at 4°C for 2 hours followed by a washing step with PBS. Next, the explants were blocked and permeabilized at room temperature for 1 hour using blocking buffer (0.3% Triton and 10% goat serum in PBS). Subsequently, the retinas were incubated with primary antibodies diluted in blocking buffer for 5 nights at 4°C while shaking. Following washing with PBS, the flatmounts were incubated with the corresponding goat secondary antibodies and Hoechst overnight at 4°C on a shaker (Table 1). After final washing with PBS, the flatmounts were mounted on glass slides using 1:1 PBS-Glycerol as mounting medium. Flatmount imaging was performed with a Nikon A1R Confocal microscope applying a 10× air and a 40× air objective (plan apo λ 40X, NA 0.9, WD 250 µm). For the calculation of donor neuron survival, all donor RGCs within each explant were imaged and quantified, with a tiled Z-stack of the 5-mm flatmount, rather than sampling and extrapolating the survival rate. All image tiles were stitched to form one single image per flatmount. For the detailed pictures, random regions in the center of the explant were imaged with a 60× water objective (SR plan apo IR 60X WI, NA 1.3, WD 180 µm).

Table 1.

Antibodies for Flatmount Staining Used in This Study Indicating Antigen Target, Host Species, Fluorophore, Dilution, Manufacturer, and Identifier

Antigen Target Host Species Fluorophore Dilution Manufacturer Identifier
GS Mouse / 1:200 Abcam Cat#ab64613
Human Nuclear antigen Mouse / 1:300 Sigma Cat#MAB1281
Laminin Rabbit / 1:50 Sigma Cat#L9393
RFP, cross-reactive to tdTomato Rabbit / 1:300 Rockland Cat#600-401-379
RBPMS Mouse / 1:200 Invitrogen Cat#OTI3B7
Mouse Goat Alexa Fluor 488 1:1000 Invitrogen Cat#A28175
Rabbit Goat Alexa Fluor 568 1:1000 Invitrogen Cat#A-11036
Rabbit Goat Alexa Fluor 647 1:500 Invitrogen Cat#A-21245
Hoechst / Hoechst 33342 1:500 Invitrogen Cat#H3570

Cryosection Preparation and Staining of Bovine Explants

After treatment and/or (co-)culture, retinal explants were fixed with 4% PFA at 4°C for 2 hours followed by cryopreservation, snap freezing, sectioning, and staining.32,44 Then, the explants were submerged in 30% sucrose (overnight at 4°C); followed by a 1:1 solution of optimal cutting temperature (O.C.T.; Tissue-Tek)/30% sucrose (3 hours at 4°C). Subsequently, the explants were embedded in pure O.C.T. (3 hours at room temperature) and snap frozen in isopentane cooled with dry ice. The frozen tissue blocks with bovine retinas were cut at 25-µm thickness using a Leica Cryostat and mounted on SuperFrost Plus slides (Thermo Fisher Scientific). Cryosections were washed with PBS for 10 minutes followed by permeabilization for 5 minutes with 0.1% Triton X-100 (Sigma). After another washing step with PBS, the sections were blocked in 5% goat serum (Thermo Fischer Scientific) for 1 hour. Next, the sections were incubated overnight in primary antibody solution at 4°C (Table 2). Subsequently, the slides were washed with PBS and counterstained with the species-specific secondary goat antibodies and Hoechst for 1 hour at room temperature. Finally, the sections were washed one more time with PBS before cover slipping over mounting medium (1:1, PBS-Glycerol). Cryosection imaging was performed with a Nikon A1R Confocal microscope applying a 40× air objective (plan apo λ 40X, NA 0.9, WD 250 µm).

Table 2.

Antibodies for Cryosection Staining Used in This Study Indicating Antigen Target, Host Species, Fluorophore, Dilution, Manufacturer, and Identifier

Antigen Target Host Species Fluorophore Dilution Manufacturer Identifier
GFAP Rat / 1:1000 Invitrogen Cat#13-0300
RFP, cross-reactive to tdTomato Rabbit / 1:500 Rockland Cat#600-401-379
Rat Goat Alexa Fluor 488 1:500 Invitrogen Cat# A-11006
Mouse Goat Alexa Fluor 488 1:500 Invitrogen Cat#A28175
Rabbit Goat Alexa Fluor 488 1:500 Invitrogen Cat#A-11034
Rabbit Goat Alexa Fluor 568 1:500 Invitrogen Cat #A-11036
Rabbit Goat Alexa Fluor 647 1:500 Invitrogen Cat #A-21245
Hoechst / Hoechst 33342 1:500 Invitrogen Cat #H3570

Image Analysis and Statistics

Pore diameter and pore area were determined by manually delineating the pores in Fiji using 10× and 40× objective images of bovine and human flatmounts. Subsequently, the percentage of intact ILM was calculated by subtracting the total area of all pores, representing the non-intact fraction, from the total area of each image. Maximum intensity Z-projections of whole flatmount Z-stacks were obtained using Fiji. A total of 22 images were analyzed to determine the pore diameter of the bovine explants, whereas 16 human flatmount images from 5 different donors (aged 65–78 years) were examined. Furthermore, Fiji was used to manually count the number of integrated donor hiPSC-RGCs in 3D and analyze their topographical localization within the explants; from which the percentage of cell survival and density were calculated. Only if positive for both tdTomato (red) and human nuclei (green), a donor RGC was counted. Within each explant, all donor RGCs in the tiled Z-stack of the 5-mm flatmount were quantified. Density heat maps were generated using a customized protocol written in MATLAB (version R2023b). From each transplantation experiment, at least one explant per group was cryopreserved and imaged as cryosections.

Using the coordinates of the transplanted RGCs, the nearest neighbor distance (NND) was determined in Fiji.29,56 The NND measures the distance between a reference cell and its closest neighboring cell. As a result, each transplanted RGC has a single NND value; when combining all the NND values of an explant, the nearest neighbor index (NNI) can be calculated using Equation 1. This spatial metric provides insights into the relative spacing among neurons, which is indicative of cell clustering. In addition, the regularity index (RI) was calculated following Equation 2.29,54,57,58 The RI is a measure of spatial uniformity, with higher RI values indicating less random and more uniform organization.

NNI=averageNND×2×densityofRGCs (1)
RI=MeanNNDSDNND (2)

The number of neurites per cell in each cell layer were quantified manually in high magnification (60× objective) Z-stacks using Fiji. Different cell layers were distinguished based on differences in intensity of the Hoechst signal of the bovine endogenous retinal cells using an orthogonal view or 3D viewer. The number of neurites per mm3 was determined by dividing the total number of neurites in each cell layer (IPL, INL, and ONL) by the volume from the ILM to this specific cell layer. To obtain the number of neurites per mm3 per RGC, this value was further divided by the total number of RGCs in the Z-stack image. In the transplantation experiment with 20,000 RGCS, 1 detailed Z-stack was captured of each explant, whereas in the experiment with 33,000 RGCs, 2 Z-stacks were obtained per explant. Neurites in high magnification (60× objective) Z-stacks were semi-automatically traced by a second independent, masked investigator using the Imaris - Autopath Filament tracer (version 10.1, Oxford Instruments). The autodiameter feature was enabled to dynamically adjust for changes in neurite thickness along their length. This analysis measured the total area of neurites, neurite area per cell layer, total neurite length, neurite length per cell layer, and the branch level. The 3D reconstructions of the traced neurites were obtained using Imaris. Subsequently, retinal thinning was measured manually in Fiji by examining the difference in Z position between the different layers (ILM to IPL, ILM to INL, and ILM to ONL) on high magnification (60× objective) detailed Z-stacks.

A semi-quantitative grading system for blood vessel morphology was developed, whereby a masked investigator scored 40× objective images of blood vessels for the different conditions. A total of 78 images were scored. Grade 1 = normal blood vessels, no irregularities; grade 2 = 1 or 2 thinner blood vessels or minor irregularities; grade 3 = ≥3 thinner blood vessels and/or granular irregularities; and grade 4 = major irregularities. To quantify the number of endogenous RGCs, these cells were immunohistochemically labeled with antibodies against RBPMS. Next, tiled Z-stacks of the whole flatmounts were manually counted using Fiji. Within each explant, all endogenous RGCs in the tiled Z-stack of the 5-mm flatmount were quantified. A total of 14 explants from independent bovine eyes were analyzed. The NND, NNI, and RI values of the untreated zero hour flatmounts (i.e. flatmounts fixated immediately after dissection) were calculated based on the coordinates of the endogenous RGCs, as previously described for the transplanted RGCs.

Pooled data of both transplantation experiments were reported as mean ± SD unless otherwise stated. Group means were compared using 1-way ANOVA with Tukey's post hoc test, unless otherwise stated. All statistical analysis was performed with GraphPad Prism 8 software. The results were considered statistically significant if *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001.

Results

ILM Photodisruption Creates ILM Pores in a Specific Pattern

ILM Integrity in the Bovine Retina

First, we evaluated whether the combination of ICG and pulsed laser irradiation was able to disrupt the bovine ILM in a specific pattern. To this end, ICG solutions with varying concentrations were applied to the ILM surface of bovine retinal explants followed by laser scanning of the samples with single 7 ns pulses (800 nm, 1.65 J/cm2) in a fixed scanning pattern, maintaining a pore center-to-center distance of 145 µm.

Using immunofluorescent labeling of laminin, a major component of the ILM and blood vessels, we confirmed generation of specific photodisruption patterns in the ILM, demonstrating the high spatial control of the technique (Fig. 4A). At a 0.10 mg/mL ICG concentration, the ILM surface was almost unchanged in comparison to untreated controls, whereas 0.25 mg/mL ICG resulted in regularly spaced holes in the ILM centered at the pulsed laser spots. With higher ICG concentrations, some regular spacing was observed but the pores were confluent, creating very large ILM perforations. Moreover, damage to the underlying retina occurred, as apparent by the absence of nuclei and adjacent structures below the ILM. A brighter appearance of the intraretinal blood vessels following photodisruption is artifactual and related to the increased antibody penetration into the retina during immunostaining. Further analysis of these images with Fiji revealed that the pore diameter (Fig. 4B) and pore area (Supplementary Fig. S1) correlated positively with ICG concentration, whereas the percentage of intact ILM correlated negatively with ICG concentration (Fig. 4C). Pore diameter measurements were more variable at higher ICG concentrations (0.50–1.00 mg/mL), due irregular confluence of the pores.

Figure 4.

Figure 4.

Representative images of untreated and photodisrupted bovine flatmounts. All flatmounts were immunostained for laminin (red) to investigate the ILM integrity and blood vessels. Hoechst staining (blue) was used to examine all nuclei. The confocal images reveal a distinct photodisruption pattern, highlighting the strong spatial control of photodisruption; scale bars: 50 µm (A). Quantification of the pore diameter and percentage of intact ILM for varying ICG concentrations. Increasing ICG concentrations resulted in elevated pore size (BC). Schematic representation of pore diameter and pore area of a photodisrupted explant (D). Representative maximum intensity Z-projections of whole flatmount (5 mm diameter) Z-stacks of untreated controls and ILM photodisrupted bovine flatmounts can be found in Supplementary Figure S2. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05. Created with BioRender.com.

Enzymatic digestion of the ILM has been successfully applied to disrupt the ILM and boost engraftment of stem cell-derived RGCs within the murine retina.17,29,36,37 Therefore, we selected the ILM digesting enzyme collagenase as a positive control throughout all experiments. To identify the influence of collagenase on human and bovine ILM morphology, we applied 5 µl of collagenase with activities ranging from 50 U/mL to 200 U/mL per 5 mm explant.

As expected, the morphology of the ILM following collagenase treatment differed markedly from what was observed after photodisruption (Figs. 45). Predictably, higher concentrations, and consequently increased collagenase activity, resulted in more extensive disruption of the ILM. Whereas a major constituent of the ILM, collagen also represents one of the main components of the retinal blood vessels, and higher collagenase concentrations also induced structural damage to the blood vessels (see Fig. 5). Similarly to the confocal images of photodisruption, brighter labeling of blood vessels was observed due to increased antibody penetration during immunostaining. However, due to enzymatic digestion, the integrity of these blood vessels was also compromised.

Figure 5.

Figure 5.

Representative images of untreated and collagenase treated bovine flatmounts. Flatmounts were immunostained for laminin (red) to investigate the ILM integrity and blood vessels. Hoechst staining (blue) was used to examine all nuclei. Increasing collagenase activity resulted in more ILM digestion and damaged blood vessels; scale bars: 50 µm (A). Schematic representation of a collagenase treated explant (B). Representative maximum intensity Z-projections of whole flatmount (5 mm diameter) Z-stacks of untreated and collagenase treated bovine flatmounts can be found in Supplementary Figure S2. Created with BioRender.com.

ILM Integrity of the Human Retina

The ILM is a highly complex basement membrane with interspecies variability in thickness, morphology, composition, and structure. The thickness of the bovine ILM is 100 to 120 nm, comparable to the ILM thickness of a human fetus.44,59 The human ILM, however, thickens with age, ranging up to a few microns in elderly patients.16,44,59 Furthermore, we previously observed that the human ILM has a much stronger affinity for ICG compared to that of bovines.44 In view of these interspecies differences and to realistically estimate the clinical potential of photodisruption, we evaluated the impact of photodisruption on human ILM integrity. Importantly, confocal microscopy on human retinal flatmounts revealed successful creation of regularly spaces photodisruption patterns in the thick human ILM of five different donors when combining our laser pattern with varying concentrations of ICG (Fig. 6A). We did observe a more pronounced effect in the younger donor (aged 65 years), where pores seem to traverse the entire membrane, likely due to a thinner ILM, compared to the older donor (aged 76 years) where pores seem to remain more superficial, presumably due to a thicker ILM.59 Additionally, the human ILM exhibited varying morphology even in the untreated flatmounts, which was also seen when assessing pore morphology after photodisruption. Pore diameters and the percentage of intact ILM were determined based on confocal images of all five donors. Similarly to the bovine explants, we observed that increasing ICG concentrations resulted in larger pore diameters and lower percentages of intact ILM (Figs. 6B, 6C).

Figure 6.

Figure 6.

Representative confocal images of untreated and photodisrupted human flatmounts. Flatmounts were immunostained for laminin (red) to investigate the ILM integrity and blood vessels. Hoechst staining (blue) was used to examine all nuclei (A). Photodisruption reveals a distinct pattern, seen by black holes that appear in the intact (red) ILM; scale bars: 50 µm (A). Pore diameter and percentage of intact ILM were compared for varying ICG concentrations in human flatmounts of 5 donors (aged 65–78y) (BC). Group means were compared using an unpaired t-test. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05.

Interestingly, we obtained substantially larger pores in the thick human ILM (42.4 ± 28.2 µm), compared to the thinner bovine ILM (12.1 ± 10.0 µm) under the same conditions of 0.10 mg/mL ICG (see Figs. 4B, 6B), which we attribute to the human ILM's higher affinity of ICG. It should be noted that under these conditions, we still find a high percentage of intact ILM (93 ± 11%; see Fig. 6C), even though high-magnification images of the human explants treated with 0.1 mg/mL ICG demonstrate disruption of the ILM. When superficial craters were created, however, these lead to an overestimation of the effective percentage of “intact” ILM. Nonetheless, when using a higher concentration of 0.5 mg/mL, no large differences in ILM intactness occurred between the bovine and human explants (see Figs. 46).

Next, we investigated the effect of enzymatic digestion (i.e. collagenase) on the morphology of the human ILM. Surprisingly, confocal microscopy of the human ILM did not reveal clear signs of digestion, as ILM integrity seemed comparable between the control and collagenase treated flatmounts (Fig. 7), even for the 49-year-old donor who was relatively young and thus had a thinner ILM.59 This is in stark contrast to the ILM digestion that we observed after collagenase treatment of bovine flatmounts (see Fig. 5), demonstrating clear inter-species differences in enzymatic digestion of the human versus bovine ILM.

Figure 7.

Figure 7.

Representative images of untreated and collagenase treated human flatmounts. Flatmounts were immunostained for laminin (red) to investigate the ILM integrity and blood vessels. Hoechst staining (blue) was used to examine the nuclei. No noticeable digesting effect of collagenase was observed in the human flatmounts; scale bars: 50 µm.

Photodisruption Augments RGC Survival and Neurite Localization

Donor RGC Survival and Density Increases With Photodisruption

To our knowledge, the size of human RGCs in suspension has not been reported, however, RGC soma diameters cultured in vitro or in vivo range from 10 to 30 µm,48,60,61 as is comparable to the diameter of other cell types in suspension.62,63 To ensure optimal RGC migration through the created pores, while maintaining sufficient ILM integrity, we selected the ICG concentration of 0.25 mg/mL (average pore size = 80 ± 22 µm) for use in RGC transplantation experiments. We hypothesized that this pore size would allow efficient passage into the retina, while at the same time preserving a large fraction of the ILM (66 ± 6%).

To explore the impact of ILM photodisruption and collagenase treatment on RGC engraftment, hiPSC-derived RGCs expressing tdTomato (20,000 or 33,000 cells per 5 mm explant) were cocultured for 7 days with the pretreated explants. On day 7, samples were fixed and stained for human nuclear antigen to identify the RGCs, allowing to quantify the number of RGCs per explant using confocal microscopy. Using hiPSC-RGCs from the same vial as the transplantation, a separate culture of 8000 RGCs per well was cultured in a 96-well plate for 7 days as control.

Confocal images (10× objective) of retinal explants 7 days post-transplantation, revealed RGC accumulation in regions adjacent to blood vessels, likely due to the thinner ILM in these regions,64 especially in the untreated explants (Fig. 8A, yellow dots). Interestingly, treated explants exhibited greater transplanted RGC survival and greater dispersion compared to untreated explants. However, RGCs on ILM-disrupted explants were still more clustered than RGCs cultured in 96-well plates. These observations were confirmed in density heat maps where the extent of RGC clustering is observed from the yellow to red color, whereas blue to green regions represent more dispersed cells (Fig. 8B). These findings were also corroborated by various spatial metrics, which will be discussed in more detail later (see Donor RGC Clustering Decreases and Regularity Increases With Photodisruption heading).

Figure 8.

Figure 8.

Representative confocal images of untreated, photodisrupted, and collagenase treated bovine flatmounts, 7 days after transplantation with 33.000 hiPSC-derived RGCs expressing tdTomato (red). Flatmounts were stained with Human Nuclei (green) to identify the donor RGCs and Hoechst (blue) to visualize all nuclei; scale bars: 1 mm (A). From the coordinates of the donor RGCs, density heat maps were generated using MATLAB, where red colored regions point to clustered RGCs whereas blue colored regions indicate cells that are more spread out (B). Supplementary Figure S3 contains representative confocal images and heatmaps of the transplantation involving 20,000 donor RGCs. Percent survival and density of the donor RGCs were compared for the different treatment groups and RGC starting densities (CD). *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05.

By counting the number of integrated donor cells in the intact explants, RGC survival was compared for two different RGC starting densities (i.e. 20,000 and 33,000 RGCs per 5 mm explant), as the initial density is known to influence the survival rate of transplanted cells7,29 (Fig. 8C). Overall, a higher number of transplanted RGCs resulted in a lower survival rate. Interestingly, RGC survival in photodisrupted explants was significantly augmented, with an approximately 2-fold increase in survival rate (i.e. 10.09 ± 2.94% vs. 4.59 ± 3.32% (p < 0.01) for untreated, after administration of 20,000 donor RGCs). Collagenase had a similar effect on the survival rate for both densities, wherein RGC survival increased from 4.59 ± 3.32% to 9.04 ± 2.03% for 20,000 RGCs, and from 3.40 ± 1.97% to 9.35 ± 3.87% (p < 0.05) for 33,000 RGCs (see Fig. 8C). As expected, the highest survival rate (29.03 ± 3.50%) was observed for the RGCs seeded in the 96-well plate coated with laminin and PLO. Both treated groups exhibited higher RGC densities compared with the untreated group, with collagenase treatment particularly excelling in this aspect (Fig. 8D).

Donor RGC Clustering Decreases and Regularity Increases With Photodisruption

Given that endogenous RGCs are organized in mosaic patterns to ensure a uniform visual field, avoiding RGC clustering is likely important for functional RGC transplantation.57,65 Reduced clustering after treatment with an ILM-digesting enzyme, has been described in literature.29,66 Interestingly, high magnification (40× or 60× objective) confocal images (Figs. 9A, 10A) and density heat maps (see Fig. 8B) revealed more dispersed single cells and fewer clusters in the photodisruption and collagenase treated groups compared to untreated. These observations were further quantified by determining the NND, NNI, and RI.

Figure 9.

Figure 9.

Representative confocal images (40x objective) of untreated, photodisrupted, and collagenase treated bovine flatmounts, 7 days after transplantation with hiPSC-derived RGCs expressing tdTomato (red). Flatmounts were stained with Human Nuclei (green) to identify the RGCs and Hoechst (blue) to visualize all nuclei; scale bars: 50 µm (A). Frequency distribution graph of the NNDs (B). Higher NNI values, indicating less clustering, were obtained for the treated groups compared to the untreated group (C). In addition, higher RI values were found for the treated groups, indicating a more regular RGC mosaic pattern (D). *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05.

Figure 10.

Figure 10.

Qualitative and quantitative representation of the neurite localization of transplanted RGCs. Representative confocal images (60x objective) of untreated, photodisrupted, and collagenase treated bovine flatmounts, 7 days after transplantation with hiPSC-derived RGCs expressing tdTomato (red). Flatmounts were stained with Hoechst (blue) to visualize all nuclei. White arrows point to nerve fiber bundling; scale bars: 50 µm (A). Three-dimensional reconstructions segmented according to the different retinal layers to quantify RGC neurite ingrowth on a spatially localized volumetric basis in Imaris (CH). Scale bars: 30 µm (BH). Using Fiji, neurite localization was quantified by counting the number of neurites per RGC reaching each cell layer (I). In addition, using Imaris, the total neurite length per RGC (J), neurite length per RGC per cell layer (K), and the fold change in branch level (L) were determined. The total area of neurites per RGC and the area of neurites per RGC reaching each cell layer is displayed in Supplementary Figures S5A–B. Analysis with Fiji and Imaris revealed that our light-based technique and collagenase treatment were both beneficial for the RGCs neurite localization. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05.

Figure 10.

Figure 10.

Continued.

The NND reflects the spatial distribution of RGCs, by quantifying the distance between a reference cell and its closest neighboring transplanted RGC.29,56 Interestingly, we noted that the relative frequency distribution peak of the untreated (black) and photodisruption (green) explants was located more toward the lower NND values, indicating tighter clustering, in contrast to the collagenase treated group (blue; Fig. 9B). Furthermore, the NNI was determined, whereas an NNI value below 1.0 indicates clustering, and higher NNI values are associated with more dispersed cells as is desired for a successful RGC transplantation.67 The NNI increased significantly from 0.34 ± 0.09 to 0.53 ± 0.10 (p < 0.001) in photodisrupted explants and it was even more apparent in the collagenase treated explants (0.73 ± 0.15, p < 0.001; Fig. 9C). In addition, the RI was used to assess the uniformity of the mosaics, where the RI of a random distribution is approximately 1.91 and higher RI values indicate increased regularity.29,54,57,58,65 Interestingly, the RI rose from 0.81 ± 0.23 to 1.14 ± 0.19 (p < 0.001) in photodisrupted retinas along with collagenase treated explants (1.53 ± 0.13, p < 0.001) indicating increased uniformity (Fig. 9D). To summarize, by applying several spatial metric tools, we observed that the ILM photodisrupted and collagenase treated explants show significantly reduced clustering and more regularity compared with the control group, confirming the observations in Figure 8.

RGC Neurite Localization After ILM Photodisruption

An essential step in the functional integration of donor RGCs into the visual circuitry involves the sprouting of dendrites into the inner plexiform layer (IPL) to initiate synaptogenesis with bipolar and amacrine cells.26,61 Therefore, the number of neurites reaching each cell layer was quantified in high magnification (60× objective) Z-stacks using Fiji.

As shown in Figures 9A and 10A to 10E, significant nerve fiber bundling was observed in the untreated group, likely due to cell clustering. In the treated groups, on the other hand, donor RGC neurites were more homogenously spread. The number of donor RGC neurites reaching each retinal layer was calculated, distinguishing layers based on differences in Hoechst intensity using orthogonal viewing or 3D rendering in Fiji, as shown in Figures 10A to 10H and Supplementary Movie S4. This analysis revealed that more neurites extended deeper into the retina for both ILM disruption treatment groups. Both ILM photodisruption and collagenase treatment were associated with more neurites in the IPL, along with the inner nuclear layer (INL) and the outer nuclear layer (ONL; Fig. 10I).

To further substantiate this key finding, neurite localization was determined semi-automatically using Imaris-filament tracer by a second independent, masked observer. Quantitative analysis of the traced neurites revealed that neurite length and the dendritic arbors in each cell layer increased following each ILM-disrupting treatment (Figs. 10J–K, Supplementary Figs. S4A, S4B), confirming our results previously determined in Fiji. The total neurite length per RGC (Fig. 10J), the neurite length per RGC per cell layer (Fig. 10K), and the dendritic arbor area per RGC (Supplementary Figs. 5A, 5B) increased after photodisruption and collagenase treatment. Finally, the fold change in branch level increased as well after treatment from 1.00 ± 0.44 to 1.57 ± 0.67 (ns; p = 0.070) for photodisruption and to 2.33 ± 0.89 (p < 0.001) for collagenase treatment (Fig. 10L). Taken together, photodisruption and collagenase treatment promoted RGCs neurite formation, leading to increased neurite outgrowth and extension, with the most pronounced effects observed in the collagenase-treated group.

Retinal Health and Gliotic Response After Photodisruption

Examining potential retinal toxicity is a key metric in assessing the safety of this potential translational approach of ILM photodisruption. First, laminin blood vessel integrity was assessed immediately after dissection (0 hour) or after 24 hours, and compared between the photodisruption and collagenase treatments, respectively. Blood vessels treated with collagenase exhibited a thinner and more granular morphology relative to both untreated and photodisrupted samples (Fig. 11A). This toxic effect was even more apparent at higher collagenase concentrations (200 U/mL), highlighting a dose-dependence. In addition, a semi-quantitative scoring system for blood vessel morphology was developed, whereby a masked investigator scored 40× objective images of the blood vessels. This scoring system confirmed that collagenase treatment results in thinner and more irregular blood vessels. Subsequently, endogenous RGC survival was quantified via manual counting of RBPMS-positive cells (green) in bovine retinal flatmounts. At the zero hour time point, photodisrupted explants demonstrated a significant reduction in RGC density (274 ± 16 RGCs/mm²) compared with the untreated controls (554 ± 54 RGCs/mm², p < 0.05; Figs. 11C, 11D). At the 24-hour time point, the number of endogenous RGCs in untreated flatmounts was more than halved (from 554 ± 54 RGCs/mm2 to 203 ± 6 RGCs/mm2, p < 0.01) compared to the 0 hour control (Figs. 11C, 11D). However, no additional loss of RGCs due to collagenase treatment was observed (see Figs. 11C, 11D). Next, we evaluated retinal thinning of the explants 7 days post-transplantation by comparing the distance of the different cell layers from the ILM using Fiji (i.e. ILM to IPL, ILM to INL, and ILM to ONL). As shown in Figure 11E, no significant differences were observed, indicating no substantial retinal thinning induced by either treatment, above what occurred normally during the culture period.

Figure 11.

Figure 11.

Representative detailed flatmount images (40x objective) of the blood vessels stained by laminin (red) in the blood vessel layer; scale bars: 50 µm (A). A semi-quantitative scoring system for blood vessel morphology was developed, whereby a masked investigator scored 40x objective images of the blood vessels. Grade 1: normal blood vessels, no irregularities; Grade 2: 1 or 2 thinner blood vessels or minor irregularities; Grade 3: ≥ 3 thinner blood vessels and/or granular irregularities; Grade 4: Major irregularities (B). Representative detailed flatmount images (10x objective) of endogenous RGCs stained by RBPMS (green), the ILM immunostained by laminin (red), and Hoechst (blue) to stain all nuclei; scale bars: 100 µm (C). Quantitative comparison of the number of endogenous RGCs manually counted in Fiji for photodisrupted and collagenase treated explants, with their respective controls at the 0h and 24h time point (D). Quantitative image analysis using Fiji of retinal thinning 7 days after transplantation. No significant differences between groups were observed (E). *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, NS: p > 0.05.

Another important factor for successful transplantation is the gliotic response mediated by the host (i.e. bovine explant), as this can create either a protective or neurotoxic environment for donor RGC integration and survival. Indeed, the success of transplantation may be contingent upon the response orchestrated by the resident innate immune cells within the explants, including Müller glia, astrocytes, and microglia. Whereas neuroinflammation may potentially be exacerbated by the xenogeneic nature of the human iPSC-derived RGCs and immunosuppression was not used in our experiments, it should be noted that there was no peripheral circulation in these cultures and therefore no potential for an adaptive immune response. Nonetheless, explantation and culturing of the explants is known to induce gliosis. To investigate the latter, we stained for glial fibrillary acidic protein (GFAP; green), a well-established marker of retinal stress in Müller glia and astrocytes. Following the 7-day coculture with RGCs, confocal microscopy revealed a similar level of GFAP expression for both untreated and treated bovine explants (Fig. 12A), indicating our treatments did not evoke an additional gliotic response.

Figure 12.

Figure 12.

Representative images of the gliotic response of bovine retinal explants, 7 days after transplantation with hiPSC-derived RGCs expressing tdTomato (red). Cryosections were stained for Hoechst (blue) to visualize nuclei and GFAP (green) to visualize glial reactivity in Müller glia and astrocytes. Single-channel images alongside the merged image can be found in Supplementary Figure S6 to better illustrate signal localization and colocalization; (40x objective) scale bars: 50 µm (A). In another experiment without RGC transplantation, flatmounts were stained with GS to visualize Müller glia (green), laminin (red) to examine the ILM, and Hoechst (blue) to investigate nuclei. The photodisruption pattern was clearly recognizable in both the Müller cell staining and in the ILM staining, whereas the Müller endfeet damage was colocalized with the ILM damage after collagenase treatment. Intact nerve fibers were observed after photodisruption, as indicated by the white stars; scale bars: 100 µm for 10x magnification images and 50 µm for 40x magnification images (B).

Additionally, we assessed the morphology of the Müller glia cells, considering their endfeet are located just below the ILM, by immunostaining for glutamine synthetase (GS; green) in bovine flatmounts without RGC coculture (Fig. 12B). In the untreated explants, Müller cells appeared homogenous, and the ILM was intact. In the photodisrupted explants, on the other hand, the individual pores created by the laser pattern were clearly recognizable in both the Müller cell staining and in the ILM staining; indicating that the laser treatment induced localized damage to the Müller cell endfeet (see Fig. 12B). Importantly, in high magnification images, we observed that the nerve fiber layer appeared to remain intact, and, moreover, normal appearing cell nuclei were present at the locations of photodisruption. In the explants subjected to collagenase treatment, the Müller cell endfeet damage was colocalized with the ILM disruptions. Although less apparent, collagenase treatment led to a more faded appearance of Müller endfeet as opposed to untreated explants. Furthermore, the degree of GS damage increased with the collagenase activity (data not shown).

In summary, photodisruption showed some adverse effects, such as a reduced number of endogenous bovine RGCs and damage to Müller cell end feet, suggesting a potential negative impact on retinal health. However, these effects appeared relatively mild, as no significant retinal thinning was observed. In addition, Müller glia and astrocytes reactivity remained consistent with expectations after 8 days in culture. Nevertheless, further research is needed to fully assess the safety of this light-based therapy.

Discussion

This study explored the potential of ICG-mediated photodisruption as a novel strategy to selectively perforate the ILM in a predetermined pattern, to enhance its permeability, and improve RGC delivery and subsequent engraftment. By creating a distinct pattern of pores within the ILM, we hypothesized that we could establish entryways for the RGCs while preserving sufficient membrane integrity to support the development of the newly transplanted RGCs. To assess effectiveness, we compared photodisruption with collagenase treatment, which is a well-established strategy to enzymatically disrupt the ILM.68,69 This discussion first addresses the outcomes of collagenase digestion, followed by an analysis of the photodisruption outcomes.

Enzymatic Digestion of the ILM

Enzymatic ILM modification has been widely explored across therapeutic applications, including AAV gene therapy and cell therapy.29,33,34,36,37,6871 Enzymes such as collagenase have demonstrated efficacy in enhancing delivery across multiple animal models, including mice, rats, and nonhuman primates. However, this approach also has a significant drawback: intraocular hemorrhage. This is unsurprising, as collagen—a primary target of ILM digestion—is also a key structural component of blood vessel basement membranes.72,73 Previous research has highlighted the narrow therapeutic window for these ILM-digesting enzymes, emphasizing the delicate balance required for their use.34,36 Indeed, our study corroborated these findings, showing that collagenase treatment effectively broke down the bovine ILM as well as the blood vessels (see Figs. 511). Collagenase-treated blood vessels appeared thinner, and more granular compared to untreated and photodisrupted samples. Notably, our study is the first to characterize human ILM morphology following collagenase digestion where we found that concentrations that were highly effective in breaking down the bovine ILM showed no apparent effect on the human retina (see Fig. 7). Importantly, the range of human tissue donor age in this study aligns with that of individuals typically affected by (chronic) glaucoma. The inability of collagenase to disrupt the human ILM in these samples thus raises significant doubts about its clinical feasibility for patients with glaucoma.

In the next phase of the study, we looked into the impact of enzymatic digestion on RGC delivery and survival in bovine flatmounts. Survival rates of transplanted RGCs were comparable to those reported in literature (5 up to 25%) for ex vivo experimentation.6,7,9,29,74,75 In our study, two different transplantation densities (i.e. 20,000 RGCs or 33,000 RGCs per explant) were compared. Interestingly, the lower starting density resulted in a higher percental survival rate (see Fig. 8). This counterintuitive outcome, also reported by Venugopalan et al.,7 may be attributed to factors such as nutrient depletion, increased gliotic response, and a potential reverse U-shaped relationship between transplanted cell quantity and survival.11,29 It must be noted that variations in outcomes, including our relatively low survival rate, may be explained by differences in RGC origin (embryonic stem cell [ESC] or iPSC), recipient species, animal model type, and duration of RGC coculture.

Importantly, ILM digestion with collagenase significantly increased both the percent survival and density of donor RGCs in our bovine explants (see Fig. 8), confirming our previous work where we revealed that RGC survival was increased after applying the digestive enzyme pronase.36,37 Next, we investigated RGC clustering because this might prevent donor RGCs to organize themselves in mosaic patterns necessary to form a uniform visual field. Prior studies indeed revealed that the average NND of transplanted RGCs significantly increased after digestion with pronase or collagenase, indicating reduced clustering.29,66 Analogously, our collagenase-treated bovine retinas, exhibited visually more dispersed cells and less clustering, suggesting that ILM-RGC interactions promote clustering (see Fig. 9).29 To quantify these observations, we used spatial analysis tools. NNI values of the donor RGCs more than doubled in collagenase-treated explants compared to those with an intact ILM, implying a substantial reduction in cell clustering (see Fig. 9). Interestingly, our findings align with previous studies, including our own, which demonstrated that NNI values of human stem cell-derived RGCs transplanted into murine retinas ranged from 0.40 to 0.80.9,29 For comparison, we calculated the NNI of endogenous RGCs in our bovine explants, which was 1.1 ± 0.1, which was remarkably higher than the NNI values observed for transplanted RGCs in both murine and bovine explants. Similarly, endogenous murine RGCs exhibit NNI values of approximately 1.3 ± 0.1, comparable to the endogenous NNI values in bovines.29,67 Nevertheless, all NNI values following transplantation remained below 1.0, indicating that clustering did persist across all groups.56,67 Next, the RI was calculated to examine the regularity of the neuronal mosaics. As a reference, we characterized the RI of endogenous RGCs in the bovine retina, finding it to be 2.8 ± 0.3. This value is slightly lower than the reported RI range of 3 to 6 in mice, highlighting species-specific differences in retinal organization.54,57 Given the profound impact of cell density, type, size, and death on RI, cross-study comparisons are challenging.29,54,57,58,65 Within our dataset, collagenase treatment significantly increased RI values, suggesting enhanced spatial regularity (see Fig. 9). As the hRGCs were immature and did not exhibit subtype specificity at the stage of transplantation, the lack of mosaic tiling of their somas was to be expected.52 To summarize, collagenase digestion significantly reduced clustering and enhanced spatial uniformity, which is desirable for a successful RGC engraftment.

The success of RGC transplantation is heavily influenced by the functional integration of donor cells into the visual circuitry, which requires neurite sprouting toward IPL and the formation of synaptic connections.61 Preferably, as in the collagenase treated bovine flatmounts, neurites without thick nerve fiber bundles are obtained to be able to cover the visual field uniformly (see Figs. 910). Importantly, after ILM digestion, the transplanted RGCs developed significantly more neurites that extended deeper into the retina to the IPL, along with the INL and ONL (see Fig. 10, Supplementary Movie S4). Indeed, analogously to what we previously observed in mice, ILM digestion resulted in enhanced neurite integration.29,36,37,66 Our observations quantified using Fiji software, were further validated through neurite tracing with Imaris, where an increase in neurite length and neurite dendritic arbor area following collagenase treatment was confirmed (see Fig. 10, Supplementary Fig. S5). In addition, the branch level doubled, suggesting enhanced complexity in RGC neurite branching and an improved integration following enzymatic digestion (see Fig. 10). Interestingly, donor RGC neurites did not exclusively target the IPL but also extended into deeper retinal layers, such as the INL and ONL. This phenomenon has been reported multiple times in studies investigating RGC transplantation in mice.9,29,74,75 Such extensions beyond the IPL, into deeper layers of the retina are undesirable and may be artifacts of explant culture, as they are observed to a much lesser extent in vivo.37 In sum, collagenase treatment was beneficial for RGC neurite localization as the neurons developed more complex neurites that extended further into the retina.

A critical factor influencing the success of RGC transplantation is the gliotic response of the host tissue, mediated by Müller glia, astrocytes, and microglia.14 Treatment with the gliotoxic agent alpha-aminoadipic acid, which suppresses glial reactivity, led to a 50-fold increase in stem cell migration into rat retinal explants, highlighting the importance of the gliotic response on transplantations.34 Interestingly, GFAP staining – an established marker of retinal stress in astrocytes and Müller cells – appeared similar across all experimental groups (see Fig. 12). However, increases in GFAP expression in response to our ILM treatments might be masked by the gliosis induced through explantation and culturing of the explants. These findings do confirm our previous observations in murine explants, where GFAP expression remained similar following pronase treatment.29

Looking further into collagenase's impact on retinal health, we observed no significant retinal thinning nor additional endogenous RGC death beyond that attributable to the culturing process (see Fig. 11). However, a striking observation was the near 50% reduction in endogenous bovine RGCs after 24 hours of culture, even without treatment (see Fig. 11). This gradual RGC loss in explants is well-documented in the literature. In fact, we have proposed that ex vivo explants may serve as models for optic neuropathies like glaucoma due to this phenomenon.76,77 Additionally, collagenase treatment appeared to alter the morphology of the Müller cell endfeet, as visualized by GS immunostaining (see Fig. 12). The endfeet appeared less defined and more diffuse compared to an untreated explant. This endfeet damage was furthermore colocalized with the ILM disruption and increased with higher enzyme activities (data not shown).

To conclude, this study shows for the first time that collagenase-induced digestion of the bovine ILM resulted in enhanced ILM permeability, leading to an improved RGC engraftment (i.e. increased donor RGC survival, density, regularity, neurite localization, and branching). These results confirm our previously published results in murine explants, where we saw reduced RGC clustering and increased retinal neurite ingrowth after enzymatic ILM digestion.29,36 Despite its effectiveness in enhancing RGC transplantation, the enzyme-induced damage to retinal blood vessels and underlying tissue raises serious concerns on retinal health, significantly limiting its potential for clinical translation.13,29,33,34

ILM Photodisruption

To address the limitations of enzymatic ILM digestion, we explored the potential of ICG-mediated photodisruption as a strategy to selectively perforate the ILM in a predetermined pattern. Interestingly, microscopy images of photodisrupted flatmounts revealed the distinct and tunable pattern that was created when combining pulsed laser irradiation with varying ICG concentrations. As expected, increasing concentrations of the photothermal agent ICG, led to statistically significant elevated pore diameters and pore area, demonstrating the tunability of our light-based approach (Fig. 4 and Supplementary Figure S1). In stark contrast to collagenase treatment, where we observed no apparent impact on the human ILM at the tested concentrations (Fig. 7), we successfully created a distinct photodisruption pattern in the thick and complex human ILM of 5 different donors (Fig. 6). As observed in bovine explants, increasing ICG concentrations resulted in larger pore diameters in human retinal tissue. However, pores appeared more superficial in explants from older donors (76 years) compared to those from younger donors (65 years), possibly due to age-related differences in ILM thickness, underscoring the importance of a tunable approach. Photodisruption offers this flexibility, allowing for adjustable settings and ICG concentrations to accommodate the diverse ILM thicknesses encountered across different patient age groups. Since a 0.25 mg/ml ICG concentration resulted in a regular pattern of pores of 80 ± 22 µm in size and left the majority of the ILM intact (66 ± 6%), we selected this condition for RGC transplantation experiments in bovine explants.

Interestingly, our light-based approach nearly doubled the survival of RGCs after administration of 20.000 RGCs, reaching 10% (Fig. 8). Moreover, both starting density experiments exhibited higher RGC densities compared to the untreated group, albeit still considerably lower than those observed following collagenase treatment. Confocal imaging further revealed a more dispersed distribution of RGCs following photodisruption compared to an intact ILM, which was confirmed by several spatial metrics including NNI and RI. First, the NNI increased by 56% in photodisrupted explants compared to untreated controls, indicating reduced clustering. Similarly, the RI showed a significant 41% increase, reflecting enhanced spatial regularity (Fig. 9). Following photodisruption, donor RGCs also developed significantly more neurites that extended deeper into the retina. While the majority of neurites were concentrated in the IPL, increases were observed across all retinal layers, consistent with the results obtained after ILM digestion. This positive observation also reflects in other parameters including neurite length, neurite area and branch level (Fig. 10 and Supplementary Figure S5). However, it is relevant to note that collagenase treatment yielded even more favorable outcomes, surpassing the other groups in terms of transplanted RGC survival, density, clustering, neurite localization, and branching.

Regarding the impact of our light-based approach on retinal health, several key observations were made. After 8 days of culturing, photodisrupted explants showed no retinal thinning compared to untreated samples. Furthermore, the GFAP staining appeared similar to untreated explants, indicating photodisruption did not evoke an additional gliotic response nor did it reduce it. Nevertheless, immediately following photodisruption, a significant and instant decrease in endogenous RGC survival of the treated explants was observed (Fig. 11), indicating retinal toxicity. Our light-based therapy also affected Müller cells, as evidenced by the distinct photodisruption pattern visible in both the Müller cell and ILM staining (Fig. 12). On the other hand, we did find intact cell nuclei and nerve fibers at the pore sites (Fig. 12). In the future, we aim to analyze Müller cell morphology in greater detail over time to determine whether the immediate damage to their endfeet is permanent or reversible. However, we should note that with the current laser set-up, the laser irradiation originates from beneath the retinal explant, necessitating passage through the entire retina before reaching the ICG located on top of the ILM. Future modifications to the laser configuration will allow for irradiation from the ILM side, directly targeting the ICG. This will enable the use of lower laser fluences as less energy will be lost by traversing the retina. Secondly, we will increase the pulse frequency, enabling faster processing, reducing the scanning time from approximately 15 minutes to less than 2 minutes, thereby reducing the risk of explant desiccation during the laser treatment. By implementing these adjustments, we aim to mitigate toxicity in our future studies. Notably, candidate patients for this procedure are anticipated to have minimal or no remaining RGCs, rendering potential damage to the structures beneath the ILM less significant in this context.

Importantly, while we used FDA-approved ICG as the photothermal agent in all photodisruption experiments, its use as an ILM dye has declined due to reports of retinal toxicity. Many surgeons now prefer alternative vital ILM dyes such as brilliant blue and trypan blue.78 In response, our group is exploring alternative dye options to mitigate potential retinal damage. Concurrently, we are evaluating the safety of our light-based photodisruption technology in vivo. In this in vivo testing, we will investigate the potential long term effects. It has been clinically demonstrated that removing the ILM in healthy patients has no effect on visual acuity. However, long-term effects and sophisticated safety measures still need to be investigated in an in vivo setting. Moreover, we have demonstrated that laser-induced nanobubbles can safely ablate vitreous opacities in vivo in rabbit models.46 These advancements suggest a promising future for our photodisruption technique in clinical applications.

Taken together, our findings position ILM photodisruption as a promising technique for enhancing RGC transplantation, offering several advantages over previously tested methods such as enzymatic digestion, ILM peeling, and mechanical disruption.71 ILM peeling, a surgical technique commonly employed in the treatment of vitreomacular interface disorders—including macular holes and diabetic macular oedema79 —has been proposed as an alternative method to overcome the ILM barrier in RGC transplantation.80 Nonetheless, it is an invasive procedure that can damage underlying structures, particularly the Müller cell end feet.39,40 Moreover, in glaucoma patients, whose retinas are already compromised, ILM peeling may pose an even greater risk of additional damage compared to its effects on healthy retinas.81,82 On top of that, ILM-RGC interactions are likely necessary for coordinated patterning of the RGC layer and correct dendritic projection, therefore complete removal of the ILM – as achieved by surgical peeling is not desirable. Another strategy is the mechanical disruption of the ILM,17 wherein cracks created in the ILM using mechanical forces led to improved neurite formation. However, our photodisruption technique offers several advantages over this mechanical approach, as it provides more precise and reproducible ILM disruption compared to the variable damage that may result from mechanical methods. In addition, mechanical disruption is a surgical method that implies a more invasive approach compared to photodisruption. In contrast, our light-based technique in vivo requires only a minimally invasive intravitreal injection of the photothermal dye followed by non-invasive laser treatment. This reduced invasiveness is particularly advantageous for in vivo applications, as it minimizes the risk of complications associated with more invasive surgical procedures.

Limitations

As in all studies, there are comments and limitations to our techniques and models. First, ex vivo retinal explants were used to assess the ILM integrity and integration of transplanted RGCs but are not completely representative of the in vivo eye. These ex vivo explants likely bias towards greater engraftment compared to intravitreal injections in vivo, given that the donor RGCs are maintained in direct contact with the ILM surface rather than being suspended within the vitreous. Nevertheless, ex vivo retina culture models enable higher throughput experiments and are in accordance with the principles of the 3Rs to replace, reduce, and refine animal research. Furthermore, it must be noted that all retinal explants were prepared from healthy non-glaucomatous bovine or human eyes.

In recent years, a major concern has emerged regarding the observation of rare intercellular material transfer between donor and host cells, which has confounded the interpretation of various RGC and RPE transplantation studies.55,74 To address this issue, we implemented stringent criteria for RGC identification, counting only cells as RGCs if positive for both tdTomato and human nuclei markers. Cells that were positive for human nuclei but lacking tdTomato were classified as residual hiPSCs, and we did not observe any cells expressing tdTomato but not human nuclear antigen. Furthermore, GFAP staining of the cryosections did not elucidate any colocalization of GFAP and tdTomato (Fig. 12), unlike what we previously observed in host, mouse Müller glia following ILM disruption.55 This suggests an absence of intercellular material transfer between donor hiPSC-RGCs and bovine Müller glia in our study. However, we acknowledge that this phenomenon cannot be definitively ruled out based on these observations alone. To conclusively exclude material transfer, additional methodologies would be needed such as species-specific PCR on isolated cells that are positive for both tdTomato and human nuclei markers or fluorescence in situ hybridization (FISH) on cryosections.

Conclusions

This study provides compelling proof of concept for the use of ILM photodisruption to enhance RGC transplantation. Our comprehensive evaluation of the ILM integrity following photodisruption, as a function of varying ICG concentrations, demonstrates the technique's high tunability and control in creating distinct photodisruption patterns in both bovine and human tissue. Furthermore, we observed augmented RGC engraftment after treatment with our light-based technique as demonstrated by a higher donor RGC survival rate, improved cell spreading and enhanced neurite formation. Concurrently, we discovered that collagenase digestion of the bovine ILM significantly enhanced RGC engraftment. However, the same enzymatic activities proved ineffective on the human ILM. This finding, coupled with collagenase's well-documented retinal toxicity, particularly its damaging effects on blood vessels, casts significant doubt on its clinical viability for human applications. Although our current light-based technology showed some retinal toxicity, we are committed to refining our approach with future modifications focusing on optimizing the laser set-up and exploring alternative photothermal ILM dyes. In conclusion, our proof-of-concept study demonstrates that ILM photodisruption effectively addresses a critical barrier in RGC replacement. This breakthrough paves the way for advancing retinal regeneration toward clinical translation, offering new possibilities for treating irreversible blindness caused by glaucoma and other optic neuropathies.

Supplementary Material

Supplement 1
iovs-67-2-56_s001.docx (23.3MB, docx)
Supplement 2
Download video file (6.8MB, mp4)
Supplement 3
Download video file (7.4MB, mp4)
Supplement 4
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Acknowledgments

The authors thank the donors of the National Glaucoma Research, a program of the BrightFocus Foundation, for support of this research (G2023002F). Additionally, this research is supported by the Research Foundation-Flanders, Belgium (FWO Vlaanderen, grant 1S19725N and 1226224N). Chloë De Clercq acknowledges support from Novistem 101071105, horizon 2021 EIC PATHFINDER. Weiran Li acknowledges the financial support from China Scholarship Council (CSC). Thomas Johnson is supported by the National Eye Institute (United States National Institutes of Health, K08EY031801, R21EY034332, and P30EY001765), Research to Prevent Blindness (New York, NY, Career Development Award and unrestricted funding to the Wilmer Eye Institute), Bright Focus Foundation (G2022005S), The Glaucoma Foundation Rajen Savjani Award, The Shelley and Allan Holt Rising Professorship, and The Zenkel Family Foundation. We thank Donald J. Zack and Arumugam Nagalingam (Glaucoma Center for Excellence, Wilmer Eye Institute, Johns Hopkins University School of Medicine) for providing the hiPSC-derived RGCs used in this work and William Yutzy (Glaucoma Center for Excellence, Wilmer Eye Institute, Johns Hopkins University School of Medicine) for helping us with the image analysis. We thank the Ghent Light Microscopy (GLiM) CORE at Ghent University (Belgium) for the use of the Nikon A1R HD confocal microscope.

During the preparation of this work the author(s) used ChatGPT/Perplexity in order to enhance the fluidity of the sentences. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.

The data supporting the findings of this study are available within the article (and/or) its Supplementary Materials.

Disclosure: E. De Coster, None; K. De Clerck, None; C. De Clercq, None; W. Li, None; D. Punj, None; B. Vanmeerhaeghe, None; J. Verdonck, None; S. De Smedt, None; K. Braeckmans, None; H. Hadady, None; K. Remaut, None; T.V. Johnson, None; K. Peynshaert, None

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