Experimental Eye Research

Purpose: To predict retinal nerve fiber layer thickness (RNFLT) norms from fundus images. Methods: We selected 18,000 OCT scans and visual fields (VF) from the Massachusetts Eye and Ear Glaucoma Service. A U-Net-based deep learning model was developed to predict RNFLT norms from OCT en face fundus images. A total of 10,000 OCT scans with normal VFs (mean deviation [MD] [&ge;] -1 dB, glaucoma hemifield test within normal limits, and pattern standard deviation probability > 5%) tested within 30 days were used for training, while the remaining 8,000 OCT scans (mean VF MD: 3.3 +/- 4.9 dB), including 2,419 scans with normal VFs, were used for evaluation. Structure-function correlations between RNFLT maps and VFs were assessed using linear regression and VGG-16 across original RNFLT maps, deviation maps, and their combination. Performance was evaluated using correlation coefficients, mean absolute error (MAE), and R-squared. Results: Predicted RNFLT norm maps showed agreement with baseline RNFLT maps in eyes with normal VFs (R-squared = 0.81 +/- 0.13). RNFLT deviation maps correlated more strongly with VF MD than original RNFLT maps (R = 0.42 vs. 0.19, p < 0.01). In deep learning-based VF prediction, combining original and deviation maps achieved the best performance (MAE = 3.31 dB, R-squared = 0.39), outperforming the model (p < 0.05) using original RNFLT maps alone (MAE = 3.36 dB, R-squared = 0.35). Conclusions: Deep learning can estimate individualized RNFLT norms and improve structure-function assessment in glaucoma. Translational Relevance: Personalized RNFLT norm prediction may improve detection of glaucomatous damage.

Purpose Considering that myopia is associated with thinning of the ocular coats, this study investigated the inter-relationship of retinal, choroidal and scleral thickness in foveal regions in Indian high myopes. Methods A total of 23 high myopes (spherical equivalent refraction [&le;]-6.00D) aged 16 to 35 years underwent posterior segment imaging with swept-source optical coherence tomography. The retinal, choroidal and scleral thickness was determined using semi-automated custom-designed software at sub-foveal regions. Axial length was determined using Lenstar LS 900 non-contact biometer. Results The mean plus-or-minus sign SD axial length was 30.17 plus-or-minus sign 2.23 mm, sub-foveal retinal thickness was 245 plus-or-minus sign 28 lower case Greek mum, sub-foveal choroidal thickness was 82 plus-or-minus sign 46 lower case Greek mum, and sub-foveal scleral thickness was 254 plus-or-minus sign 68 lower case Greek mum. The choroid was significantly thinner compared to the retina and sclera (p<0.001). With a 1 mm increase in axial length, there was no significant variation in sub-foveal retinal (increased by 0.86 lower case Greek mum) and scleral thickness (decreased by 4.31 lower case Greek mum, p[&ge;]0.05), but sub-foveal choroidal thickness decreased by 10.35 lower case Greek mum (p=0.02). For a 1D decrease in spherical equivalent refraction, the choroidal thickness reduced significantly (decreased by 5.88 lower case Greek mum, p<0.001), while there was no significant variation in retinal (decreased by 0.68 lower case Greek mum, p=0.55) and scleral thickness (increased by 0.13 mum, p=0.98). The association of the sub-foveal retinal, choroidal, and scleral thickness was weak and was not significant in high myopes (p[&ge;]0.10). Conclusions With increasing axial length and severity of myopia in high myopes, compared to scleral and retinal thickness, the choroidal thickness alone decreased significantly. Our findings indicate that the changes in the choroid do not necessarily reflect the changes in retinal and scleral thickness and highlight the importance of the choroid as a marker for axial elongation even in high myopes.

Oxidative stress is proposed to be a driver of age-related diseases. Age-related macular degeneration is one such disease, where the retinal pigment epithelium (RPE) is affected early in the disease. Vasculature damage also occurs, sometimes preceding RPE damage. To model some aspects of dry AMD, we used the NaIO3 mouse model of oxidative damage. Disruption of the deep retinal vascular plexus, disorganization and death of capillaries within the choriocapillaris, and marked electroretinographic decline were observed. AAV overexpressing the transcription factor, NRF2, which induces anti-oxidation enzymes and represses inflammation, was tested for protection of damage. The BEST1 promoter limited expression to the RPE. The RPE, photoreceptors, and vascular architecture in both retinal and choroidal compartments were protected. Conditioned medium from RPE-choroid explants, infected by AAV8/BEST1-NRF2, was sufficient to transfer partial protection in vivo, indicating that NRF2 induces a protective secreted factor(s). Analysis of RNA-seq data identified growth differentiation factor 15 (GDF15) as a candidate downstream mediator. Injection of recombinant GDF15 reproduced key protective phenotypes in vivo, whereas Gdf15-deficiency attenuated NRF2-mediated rescue. Pharmacologic inhibition of TGF-{beta} receptor signaling diminished NRF2 associated protection, supporting involvement of this signaling pathway. In a laser-induced choroidal neovascularization model, intravitreal GDF15 injection reduced fluorescein leakage and lesion size. These findings support a model in which NRF2 activation in the RPE induces expression of GDF15, which is capable of protecting the RPE, photoreceptors, and the retinal and choroidal vasculature. NRF2 and GDF15 have therapeutic potential for ocular diseases, as well as for other diseases with vascular pathology.

Purpose: To evaluate the safety and exploratory outcomes of a single intravitreal injection of OGX110, a peptide agonist of CXCR3, in eyes with persistent fluid secondary to neovascular age-related macular degeneration (nAMD) despite ongoing anti-vascular endothelial growth factor (anti-VEGF) therapy. Methods: This prospective, open-label, sequential dose-escalation phase I study (NCT05904691) enrolled subjects receiving standard-of-care intravitreal anti-VEGF therapy. Subjects received a single intravitreal injection of OGX110 at 0.5 mg, 1.0 mg, or 2.0 mg (n=3 per cohort), 7 to 14 days after the anti-VEGF injection. Results: All nine enrolled subjects completed follow-up through day 56. Two subjects (22%) experienced at least 1 adverse event (AE); all were mild and unrelated to study treatment. Exploratory analyses showed a BCVA change of +1.4 letters following anti-VEGF injection and +4.4 letters from OGX110 baseline to 4 weeks (P < 0.05). Six of 9 subjects gained at least 3 ETDRS letters after OGX110. Anatomic responses were heterogeneous. Four eyes showed a reduction in CRT after anti-VEGF injection that was maintained after OGX110 administration. One additional eye demonstrated a substantial reduction in CRT after OGX110 despite minimal response to anti-VEGF treatment. Conclusions: A single intravitreal injection of OGX110 was well tolerated. Exploratory functional and anatomic findings suggest biologic activity; interpretation is limited by small sample size, open-label design, absence of a concurrent control group, and inter-subject heterogeneity. These results support further study in a controlled trial. Translational Relevance: OGX110 represents a mechanistically distinct investigational approach for nAMD that may warrant further evaluation in eyes with persistent.

Purpose: To evaluate the impact of ''not commonly considered risk factors '' on glaucoma surgical outcomes. Methods: This study included 339 eyes that underwent glaucoma surgery. Surgical procedures included microhook ab-interno trabeculotomy (TLO), Preserflo ab-externo microshunt implantation, trabeculectomy (Trab), and Ahmed Glaucoma Valve (AGV) implantation. In addition to conventional background factors, we examined a set of ''not commonly considered risk factors, '' including very elderly age ([&ge;]85 years), avitreous status, aphakia, use of antithrombotic agents, difficulty attending frequent postoperative visits, small palpebral fissure, corneal endothelial dysfunction, poor vision in the fellow eye, dementia, hearing loss, mental illness, atopic dermatitis, pseudophacodonesis, glaucoma eye drop allergy, and conditions contraindicating {beta}-blocker use. Surgical success was defined as intraocular pressure (IOP) [&le;]21 mmHg, [&ge;]20% reduction from baseline, and no additional glaucoma surgery at 1 year. Logistic regression was performed to identify potential risk factors; significant factors were further evaluated using propensity score matching. Results: Of the 339 cases, surgical success rates were 65% for TLO, 82% for Preserflo, 91% for Trab, and 82% for AGV. Multivariate logistic regression identified two independent predictors of surgical failure: small palpebral fissure (odds ratio 2.52, p < 0.01) and hearing loss (odds ratio 3.94, p = 0.04). Propensity score matching of patients with small versus large palpebral fissures (111 per group) confirmed significantly worse postoperative outcomes in the small-palpebral-fissure group despite balanced baseline characteristics. Conclusion: Small palpebral fissure is an independent and previously unnoticed risk factor for glaucoma surgical failure, affecting both minimally invasive and filtration procedures.

Abstract Purpose:Comparison of ocular parameters (ACD, AL, LT, VL, CCT, ASD, LC, LT/ACD) in preterm infants with retinopathy after treatment, those with spontaneous regression, and those without retinopathy, at postmenstrual (ages of 0 (40 weeks), 3 , and 6 months. Methods: Cross-sectional study. This research involved 297 premature infants assigned to three groups based on fundus results and intravitreal injection therapy: an ROP post-injection group, an ROP spontaneous regression group, and a non-ROP group. Axial length (AL), anterior chamber depth (ACD), l e n s t h i c kn e s s (LT), and vitreous length (VL) were assessed in all three groups using a corneal thickness meter at po st menstrual age s (PMA) of 0, 3, and 6 months. Derived parameters--ASD ((ACD + LT), LC ((ACD + LT/2), and LT/ACD--were subsequently calculated. A one-way ANOVA analysis revealed statistically significant differences in these ocular parameters among the groups (P < 0.05). Results: Significant differences e m e r g e d in anterior chamber depth (ACD) and l e n st h i c k n e s s ( LT) between the ROP post-injection group, ROP spontaneous regression group, and non-ROP group at 0, 3, and 6 (months postmenstrual age (PMA). At 0 months PMA: ACD(F=4.33, P=0.014), LT (F=5.45, P=0.005). At 3 months PMA: ACD (F=17.20, P<0.01), LT(F=15.23, P<0.01). At 6 months PMA: ACD (F=17.89, P<0.01), LT (F=17.21, P<0.01). Central corneal thickness (CCT) also differed significantly among the three groups at 0 months PMA(P <0 .0 1 ). All ocular parameters correlated significantly with Postmenstrual Age, with CCT and LT showing a negative correlation. Before 6 months PMA, axial length (AL) and vitreous length (VL) increased significantly, and ACD deepened significantly across all groups (P <0 .05 ). However , LT exhibited no significant change within the ROP group (post-injection group P=0.4; spontaneous regression group P=0 .33). No significant differences existed in any ocular parameters between the ROP post-injection group and the ROP spontaneous regression group (P>0.05). Conclusions: Before 6 months of postmenstrual age (PMA), axial length (AL), vitreous length (VL), and anterior chamber depth (ACD) were increased between the ROP group and non-ROP group; lens thickness (LT) remained unchanged in the ROP group but increased in the non-ROP group. The injection group and the spontaneous regression group showed no significant differences. The primary factors influencing anterior segment development were birth weight (BW), gestational age (GA), and postmenstrual age (PMA).

Unlike the conventional mature neutrophils, immature neutrophils have been investigated for their regenerative properties; however, their limited availability necessitates alternative generation strategies. Here, we used a combination of dimethylsulfoxide (DMSO) and 1,25-dihydroxyvitamin D3 (D3) to differentiate myeloid leukemia (HL-60) cells into immature neutrophil-like cells. Differentiated cells exhibited reduced cell size, loss of uniformity, decreased nuclear-to-cytoplasmic ratio, band-shaped nuclei, increased proportion of CD11b+CD14+ cells (indicative of immature neutrophils), decreased proportion of CD11b+CD16+ cells (indicative of mature neutrophils), higher levels of arginase 1, TGF{beta}1 (markers of immature neutrophils), and no expression of CD16, MRC1 (markers of mature neutrophils and M2 macrophages, respectively). Proteomic analysis revealed enrichment of proteins associated with immature neutrophils and wound healing. Functionally, these cells supported limbal stem cell growth and wound closure in vitro, indicating relevance for corneal regeneration. Administration of these cells to ex-vivo and in-vivo alkali-injured corneas, resulted in significant effect on promotion of wound healing, with epithelial regeneration and decreased fibrotic markers, proving that such cells hold promise for clinical translation as a therapeutic tool for tissue repair.

Purpose: To characterize peripheral immune alterations in treated birdshot uveitis (BU) patients using high-dimensional mass cytometry and multiplex serology. Design: Cohort study. Subjects: 36 BU patients on immunomodulatory treatment (IMT) and 31 healthy controls (HCs). Methods: Detailed ophthalmologic examinations were performed, and peripheral blood and serum samples were collected for immune profiling using mass cytometry and multiplex cytokine analysis. Main Outcome Measures: Imaging-based indicators of ocular inflammation; peripheral immune cell frequencies; serum cytokine levels. Results: Compared to HCs, BU patients showed increased frequencies of Th17, CD146+ T cells, intermediate effector/central memory T cells co-expressing CXCR3 and CCR4, CD56dim NK cells and elevated IL-18 levels. Patients were clinically stratified by an expert ophthalmologist into three disease activity groups: Inactive, Active (comprising combinations of surface retina, deep retina and choroid activity) and Burned-out. Inactive patients harbored more quiescent effector T cells, e.g. Tim-3+ Tc17-Tc22 intermediates and more CD8+ TSCM, potentially representing a resting pool of autoimmune T cells. Active patients exhibited increased in vivo activation of relevant T cells, with stronger HLA-DR, CD38 or PD-1 expression, and highest levels of CD56dim NK cells. Immune profiles were also linked to treatment subgroups: csDMARDs (conventional synthetic disease-modifying antirheumatic drugs) were associated with higher CD56bright NK frequencies, and absence of therapy showed elevated PD-1/SLAMF7 Tc17+1 and PD-1CD57 CD8 TEMRA cells. IL-6R blockade (tocilizumab) resulted in loss of IL-6R T-cells accompanied by increased SLAMF7 T cells, due to epitope masking. Conclusions: Peripheral CyTOF profiling anchored to thorough clinical stratification revealed disease activity-associated immune signatures and therapy-associated imprints in BU.

PurposeAssessing visual function in patients with ultralow vision (ULV), particularly those with retinitis pigmentosa (RP), remains a significant challenge in therapeutic development. Full-field stimulus test (FST) provides a quantitative measure of retinal light sensitivity and may serve as a valuable clinical endpoint. We investigated FST in ULV RP by examining its associations with functional measures and daily activity-based tasks. DesignObservational, cross-sectional study. ParticipantsPatients with RP and visual acuity in the worse-seeing eye below counting fingers (CF) were enrolled. MethodsAfter dilation and 45-minute dark adaptation, FST was performed monocularly with brief full-field white-light flashes across three visits. Visual acuity was classified into four groups: no light perception (NLP), light perception (LP), hand motion (HM), and CF or better. We assessed functional vision using two tabletop object-recognition and exploration tasks, two mobility tasks, and three vision-related questionnaires. FST thresholds were compared across visual acuity groups, and associations with functional outcomes were analyzed. Main Outcome MeasuresFST thresholds and their associations with functional vision outcomes. ResultsThirty-five patients (70 eyes; median age, 62 years, range 39-84) were included. Median FST thresholds (log cd*s/m{superscript 2}) by visual acuity group were as follows: NLP, 1.13 (-0.63-2.54); LP, -0.27 (-2.70-2.91); HM, -1.13 (-6.24-0.51); CF or better, -2.82 (-5.67- -1.73) (p < 0.001). Measurable FST thresholds were obtained in 9 of 14 NLP eyes (64.3%). FST thresholds showed significant correlations with tabletop performance (r = -0.70 to - 0.46) and mobility performance (r = -0.65), whereas no significant association was observed with questionnaire scores. Test-retest variability across three visits showed no systematic bias, with a coefficient of repeatability of {+/-}0.66 to {+/-}0.82 log cd{middle dot}s/m{superscript 2}. ROC analyses identified FST cutoffs of -1.75 to -0.87 log cd{middle dot}s/m{superscript 2} at which patients first achieved nonzero functional task performance. ConclusionsFST quantifies residual visual function in ULV RP and correlates strongly with performance-based measures of functional vision in daily life. These findings support FST as a clinically meaningful endpoint for therapeutic trials in advanced RP and other severe visual impairments and highlight the value of anchoring FST thresholds to functional task performance.

Purpose: To develop and evaluate a deep learning model that predicts optical coherence tomography (OCT)-equivalent retinal nerve fiber layer thickness (RNFLT) maps directly from color fundus photographs and to assess their diagnostic value for glaucoma detection. Design: Retrospective model development and evaluation study. Participants: 15,031 paired fundus photographs and spectral-domain OCT scans collected at Massachusetts Eye and Ear between 2011 and 2022. Methods: Paired fundus and OCT images were used to train a U-Net-based model to predict pixel-wise RNFLT maps with artifact-corrected supervision. Diagnostic performance was evaluated across single-modality models (fundus photos only, real RNFLT maps, predicted RNFLT maps) and multimodal fusion models (fundus + predicted RNFLT maps). Stratified analyses examined model performance across glaucoma severity and demographic subgroups. Glaucoma was defined based on standard criteria applied to Humphrey 24-2 visual field testing. Main Outcome Measures: Mean absolute error (MAE) and structural similarity index (SSIM) for RNFLT map prediction. Area under the ROC curve (AUC) and accuracy for glaucoma detection. Results: RNFLT map prediction achieved a MAE = 15.4 m and a SSIM = 0.65, measured against artifact-corrected RNFLT maps derived from OCT. For glaucoma detection, the predicted RNFLT-only classifier outperformed the fundus-only classifier (AUC 0.889 vs 0.883, p < 0.005; Accuracy 82.0% vs 78.0%), but performed worse than the real-RNFLT-only classifier (AUC 0.889 vs 0.903, p < 0.005). Multimodal fusion of fundus images with predicted RNFLT maps improved performance, achieving an AUC of 0.909, outperforming all single-modality inputs (p < 0.005 vs fundus-only, predicted-RNFLT-only, and real-RNFLT-only). Performance gains between the fundus-only and the multimodal classifier were greater in early-stage glaucoma compared to severe cases: accuracy increased from 55.3% to 64.0% in mild cases, from 71.5% to 80.4% in moderate cases, and from 90.0% to 94.6% in severe cases. Conclusions: Predicted RNFLT maps derived from fundus photographs provide quantitative, OCT-like structural information and improve glaucoma detection. Unlike prior work that predicted only summary RNFLT values, our model generates full RNFLT maps that better support glaucoma classification than fundus images alone. This approach offers a scalable pathway for early glaucoma screening and expands diagnostic access in resource-limited settings.

Purpose To investigate the relative efficacy of nine distinct visual field (VF) denoising artificial intelligence (AI) methods and a pathology-aware AI strategy to discourage over-correction of glaucomatous defects. Design Retrospective study. Participants 87,940 paired visual field (VF) and optical coherence tomography (OCT) samples from a tertiary academic center. Methods Denoising models were trained on a separate VF-only dataset and evaluated on an independent structure-function dataset of paired VF-OCT samples. We implemented and evaluated nine distinct VF denoising strategies representing three broad categories: baseline measurements, self-supervised and image restoration models (including Noise2Noise, Noise2Void, and NAFNet), and latent variable compression-based models (autoencoders and variational autoencoders). All models were designed to reconstruct VF sensitivity maps. We then predicted retinal nerve fiber layer thickness (RNFLT) maps from the denoised VFs using a fixed, independently trained VF-to-RNFLT prediction model. Main Outcome Measures Predicted VF and RNFLT maps and resultant evaluation metrics. Results The raw VF baseline achieved a global R2 of 0.5468 and MAE of 16.83 um. Restoration-based models maintained or slightly improved concordance, with the pathology-aware NAFNet achieving the highest global R2 of 0.5485 and a comparable MAE of 16.82 um. In contrast, compression-based models degraded concordance, with CNN-VAE showing a significant reduction (R2 approximately 0.50). In severe glaucoma, concordance decreased across all methods; however, compression architectures exhibited disproportionately greater degradation compared with restoration-based approaches. Conclusions We present a comparative benchmark of AI-based VF denoising strategies paired with structure-function evaluation. While restoration-based models can reduce variability without loss of biological signal, latent compression risks attenuating clinically meaningful defects. Visually smoother fields are not necessarily more biologically accurate.

ObjectiveTo describe the ophthalmic examination protocol within the German National Cohort (NAKO) / NAKO Gesundheitsstudie, to report the baseline profile of participants undergoing ophthalmological assessment, and to illustrate the potential of these data as a population-based open resource for artificial intelligence (AI) research in eye health. DesignBaseline analysis of ophthalmic data within the nationwide, population-based multicenter prospective NAKO study. Participants48,460 adults in the ophthalmological level 2 module of 205,053 adults enrolled in NAKO, aged 19-74 years, with mean age 48.9 {+/-} 12.5 years and 52.7% male. MethodsAll participants underwent standardized assessments of a wide range of biomedical examinations and detailed questionnaire-based data collection, including non-dilated color fundus imaging, visual acuity testing, recording of a brief ocular history. Ocular and systemic health measures were summarized using descriptive statistics. Fundus image quality and morphological features (e.g. cup-to-disc ratio, ateriole-to-venule-ratio) were assessed using open-source deep learning models. Standard deep learning architectures were trained on the fundus images to predict age, sex and blood pressure. Main Outcome MeasuresPercentage of fundus images graded as good quality; mean absolute error for age and blood pressure prediction; accuracy for sex prediction. ResultsThe analysis includes 48,460 participants who successfully completed the level 2 ophthalmological baseline examination across 18 study sites in Germany. Mean visual acuity (logMAR) was 0.01 {+/-} 0.20 (left eye) and 0.03 {+/-} 0.21 (right eye). Self-reported ocular disease prevalence was 4.2% for cataract, 2.0% for glaucoma, and 0.9% for macular degeneration. 68.2% of fundus images were classified as gradable as a consensus of four deep learning-based quality grading models Morphological features such as cup-to-disc ratio and arteriole-to-venule-ratio showed systematic differences across age groups. Standard deep learning architectures showed comparative performance to the state-of-the-art for age, sex and blood pressure prediction (2.96 MAE for age prediction, 0.84 accuracy for sex prediction, 10.78 and 7.01 MAE for systolic and diastolic blood pressure prediction). ConclusionsNAKO provides a large-scale, nationwide population-based resource with visual acuity measurements and systemic health indicators, as well as color fundus images in about 50,000 NAKO participants. The data sets the ground for studying eye health in the general adult population in Germany and can serve as a strong foundation for developing and validating AI tools in eye health research.

Background Dry eye disease (DED) is a multifactorial condition marked by tear film instability and ocular inflammation, causing symptoms like grittiness and blurred vision. The global prevalence of Dry eye disease among pregnant women ranges from 27.4% to 89.3% and in Africa it ranges between 20% and 50%. Hormonal changes, advanced maternal age, late pregnancy and prolonged screen time play an important part in its development. Methodology A hospital-based cross-sectional study among 380 pregnant women. Systematic sampling technique was used for recruitment at the antenatal clinic in Mnazi Mmoja Hospital in Dar es Salaam. Clinical dry eye tests were performed along with the administration of a symptom questionnaire that included demographic characteristics and the OSDI tool where OSDI >13 is the threshold for diagnosis of DED. Data were analyzed using Stata version 17.0 and Modified Poisson analyses identified factors associated with dry eye disease, with statistical significance set at p-value<0.05. Results A total of 380 pregnant women were recruited and analyzed with the mean age 31.7{+/-}6.7, 196 (51.6%) were aged 31-46 years. Most were married 273 (71.8%) and 211 (55.5%) had completed secondary education. Dry eye disease (DED) prevalence was 53.2% (48.8%-58.2%). Among those with DED (n=202), 112 (55%) had mild symptoms, 26 (13%) moderate, and 64 (32%) severe. The most common DED subtype was unclassified 72 (35.6%), followed by mixed (67, 33.2%), evaporative 50 (24.8%), and aqueous deficient 13 (6.4%). Significant associations with DED were: advanced gestation age (aPR=2.18 (1.550-3.072), p<0.001), being a housewife (aPR=1.48(1.179-1.857), p=0.001), use of visual display terminals (aPR=1.36(1.219-1.845), p=0.048), working in low humidity (aPR=2.62(1.698-4.045), p=0.001), and working in air-conditioned rooms (aPR=2.40(1.685-3.415), p=0.001). Secondary education was protective against DED (aPR = 0.668 (0.466-0.958), p = 0.028). Conclusion Approximately half of pregnant women have DED, with unclassified DED being the predominant subtype. Late gestation age, occupation, extended screen time, and working environment are significantly associated factors. It is essential to integrate DED screening into antenatal care and establish standardized protocols on DED management. Also, it is essential to promote lifestyle modifications such as reduction of screen time and avoiding dry environments.

PurposeConventional polygenic scores predict an individuals phenotype based on their genetics. By contrast, variance polygenic scores (vPGS) quantify genetic predisposition to phenotypic variance. We tested the hypothesis that a vPGS for refractive error can identify individuals with increased susceptibility to environmental risk factors for myopia. MethodsSix vPGS construction strategies were evaluated in UK Biobank participants: three variance heterogeneity genome-wide association studies (vGWAS) methods and two reweighting schemes. vPGS performance was assessed using two metrics: (i) Diff - difference in phenotypic variance in vPGS decile one vs. ten; (ii) Spearman correlation of phenotypic variance vs. vPGS decile. The optimal vPGS was used to test for vPGS x time spent reading or vPGS x time spent outdoors interactions in children aged 15 years (ALSPAC cohort; n=3471). ResultsOf the vGWAS methods, conditional quantile regression outperformed SCAMPI and Levenes Test. Of the re-weighting schemes, LDpred2 outperformed pruning and thresholding (P+T). In an independent sample of UK Biobank participants (n=19470), the top-performing vPGS successfully stratified individuals into groups with increasing variance in refractive error, even after adjusting for a conventional PGS (Diff: 2.55, 95% CI: 1.64-3.47; Spearman correlation: 0.87, 95% CI: 0.43-0.93). However, in ALSPAC participants, there was minimal support for vPGS interactions with time reading (P=0.80) or time outdoors (P=0.89). ConclusionA novel vPGS successfully stratified individuals into groups with relatively high or low genetic susceptibility to refractive error variance. However, the vPGS could not identify individuals at enhanced risk from lifestyle risk factors for myopia.

In this study, we evaluated the impact of different in vitro 3D culture modelling methods on the activity of doxorubicin (DOX) and 5-fluorouracil (5-FU) in human melanoma spheroids. Human melanoma A375 and IGR39 spheroids were generated using the hanging drop and non-adhesive surface methods. Spheroid growth dynamics were assessed by measuring changes in spheroid diameter. To compare the effects of anticancer drugs in spheroids of different sizes, spheroids of approximately 200 and 400 {micro}m were formed. Drug activity was evaluated based on spheroid growth and cell viability using the MTT assay. A375 spheroids formed using the non-adhesive surface method were more sensitive to DOX than spheroids formed using the hanging drop method. In smaller A375 spheroids, 10 {micro}M 5-FU reduced cell viability more effectively in spheroids formed using the hanging drop method. In contrast, IGR39 spheroids formed by the hanging drop method were more resistant than those formed on a non-adhesive surface. However, in IGR39 spheroids, the effects of DOX and 5-FU on growth and viability did not significantly differ between formation methods. In conclusion, A375 spheroid growth was not significantly influenced by the formation method, whereas IGR39 spheroid growth depended on the method used. A375 spheroids formed on non-adhesive surfaces were more sensitive to DOX, whereas 5-FU activity depended on drug concentration and spheroid size. In IGR39 spheroids, the effects of DOX and 5-FU on growth and viability were largely independent of the spheroid formation method. Based on these results, it can be concluded that the researchers should carefully select the spheroid formation method for their studies, as this may influence the results of the tested compounds effect on their size and viability.

Given the critical role of progenitor cells staying within the eye field transcription factor (EFTF) signaling niche for normal eye development, we hypothesized that retinal progenitor cells (RPCs) differentiate within their initial region of inception during eye development. To investigate this, we utilized EosFP, a photoconvertible protein, as a lineage tracer in the model organism Xenopus laevis. By employing confocal laser microscopy for photoconversion, we labeled cells within elongated rectangular regions that encompassed both the eye field and the adjacent tissues. In a separate set of embryos, we identified which portions of these rectangular regions harbored cells destined to become part of the mature eye versus those that would form the surrounding tissues, tracing their development from stage 15 to stage 35. This allowed us to create a fate map of the stage 15 embryo using EosFP to accurately locate and label the eye field to address our hypothesis. With the eye field delineated using our lineage tracer, we further employed EosFP to label RPCs within individual quadrants of the developing eye. Tracking these RPCs from stage 15 to stage 35, we observed the retinal cells organizing into three principal layers of cell bodies, mirroring the layered neuroanatomy characteristic of the mature retina. We observed the red-labeled RPCs proliferated but remained predominantly within their quadrant of inception, with no dispersion into other, unlabeled quadrants of the eye by stage 35. These findings corroborate our hypothesis that RPCs undergo differentiation within their initial locations in the eye field. Our study illuminates the cellular dynamics of eye development in Xenopus laevis and introduces a novel method for lineage tracing of stem cell populations during embryonic development.

The retinal nerve fiber layer, composed of axon bundles converging toward the optic nerve, is a key biomarker for diagnosing and monitoring glaucoma and other neurodegenerative diseases. High-resolution en face imaging of individual nerve fiber bundles offers morphological information beyond what conventional optical coherence tomography provides, yet clinical integration remains limited by the lack of automated analysis tools and normative data. Here, we imaged 14 healthy volunteers using time-domain full-field optical coherence tomography and adaptive optics scanning laser ophthalmoscopy, and developed automated pipelines to quantify bundle width, trajectory, tortuosity, and orientation. Bundles were on average 25% wider at shallower retinal depths, width measurements were consistent across imaging modalities, and estimated axon count per bundle decreased significantly with age. Global trajectory analysis revealed systematic deviations of high resolution data from existing mathematical models, particularly in the temporal sector, leading us to propose two refined trajectory models. These normative results provide a foundation for high resolution biomarkers for use in investigations of retinal neurodegeneration.

Objective: To define CSC genetic architecture and identify implicated ocular tissues, cell types, genes, and circulating proteins. Data Sources: Genome-wide data were assembled from FinnGen, All of Us, Mass General Brigham Biobank, Million Veteran Program, and a Dutch chronic CSC cohort. Serum protein quantitative trait loci, human single-cell ocular atlases, and UK Biobank macular optical coherence tomography (OCT) imaging were used for downstream analyses. Study Selection: Five European-ancestry cohorts with genome-wide data and cohort-specific CSC case-control definitions were included, comprising 2,584 cases and 1,044,455 controls. Variants present in at least 2 cohorts were meta-analyzed. Data Extraction and Synthesis: Cohort-level GWASs were adjusted for age, age squared, sex, genotyping array or batch, and 10 genetic principal components, then combined using fixed-effects inverse-variance meta-analysis. Post-GWAS analyses included gene prioritization, colocalization, Mendelian randomization, single-cell disease-relevance scoring, and testing of a CSC genetic risk score in UK Biobank OCT images. Main Outcome(s) and Measure(s): Genome-wide significant CSC loci, effector genes and proteins, tissue and cell-type enrichment, and CSC-relevant OCT abnormalities. Results: Across 11,068,938 variants, 10 loci reached genome-wide significance (P < 5e-8), including 3 novel loci near TGFB1, LINC00551, and LOC105375630 and 7 replicated loci near CFH, CD46, NOTCH4, PREX1, PTPRB, GATA5, and TNFRSF10A. Integrative analyses prioritized 10 candidate effector genes. Colocalization and Mendelian randomization implicated circulating TNFRSF10A, TGFB1, and CASP10 levels. Single-cell analyses localized genetic risk to sclera (P = 2.0e-4) and vascular endothelial cells (P = 4.0e-4), with fibroblast enrichment. In UK Biobank, OCT abnormalities were more frequent in the top vs bottom 1% of CSC genetic risk (18 of 109 [16.5%] vs 8 of 134 [6.0%]; odds ratio, 4.05; 95% CI, 1.65-10.87; P = .002). Conclusions and Relevance: In this GWAS meta-analysis, CSC susceptibility localized predominantly to scleral and vascular biology rather than primary retinal pigment epithelial dysfunction. These findings support CSC as a sclerovascular disorder and nominate complement regulation, endothelial signaling, and extracellular matrix pathways for future study.

The effect of sortilin inhibition on acute inner retinal neurodegeneration induced by optic nerve crush was investigated. Pharmacological sortilin inhibition using intravitreal delivery of a polyclonal antibody or a small-molecule inhibitor was evaluated in C57BL/6JRj male mice subjected to unilateral crush. Inner retinal thickness was evaluated by optical coherence tomography, and retinal ganglion cell density was determined in retinal flat mounts. Furthermore, the effect of constitutive sortilin deficiency was examined using Sort1-/- mice. Changes in protein and mRNA levels of sortilin, p75NTR, and associated injury markers were analyzed. Neither pharmacological inhibition or constitutive loss of sortilin protected against inner retinal thinning or retinal ganglion cell loss following optic nerve crush. A transient 1.4-fold increase in p75NTR mRNA was observed early after injury, accompanied by a two-fold increase in protein levels. While sortilin expression remained largely unchanged, sortilin deficiency was associated with an altered baseline retinal state, including increased GFAP, p75NTR, and proBDNF levels. Following optic nerve crush, the induction of p75NTR was significantly attenuated in sortilin-deficient retinas compared with wild type, without affecting the extent of RGC degeneration. In summary, sortilin inhibition does not preserve inner retinal structure following optic nerve crush, but modulates glial activation, inflammatory signaling, and proneurotrophin dynamics. These findings indicate that sortilin-dependent pathways are not key drivers of optic nerve crush-induced neurodegeneration but may be more relevant in disease contexts characterized by chronic stress and neuroinflammation.

Age-related macular degeneration (AMD) is a progressive complex eye disease and one of the leading causes of blindness. AMD progression is marked by molecular changes in the retinal pigmented epithelium (RPE) which include increased reactive oxygen species (ROS) accumulation, mitochondrial dysfunction - eventually leading to dysfunctional RPE. Mitophagy regulator, Pink1, is reduced in the RPE of AMD patients and Pink1 loss leads to a shift from mitochondrial respiration to glycolysis. Serine is a non-essential amino acid which is de novo synthesized from glycolytic intermediate 3-PG via the rate limiting enzyme PHGDH. Serine is tightly integrated into anabolic processes like glutathione (GSH) cycling, maintaining NADH/NADPH pools leading to changes in AMPK signaling. Here, we show that Pink1 loss leads to a reduction in PHGDH and serine levels in the RPE leading to impaired mitochondrial structure and function, increased ROS mediated damage, increased inflammation, and hampered retinal function. Serine supplementation rescued ROS accumulation, balanced GSH abundance, and increased retinal function. Overall, our study highlights the potential of dietary serine in ROS management in AMD.