Maribel Fernández-Rodríguez

Objectives: To characterize the one-year functional, anatomical, and molecular responses to intravitreal Ranibizumab in treatment-naïve patients with neovascular age-related macular degeneration (nAMD), and to identify systemic immune and miRNA signatures associated with treatment response. Methods: This prospective longitudinal observational study included 44 treatment-naïve patients with nAMD. Patients received up to four monthly intravitreal Ranibizumab injections, followed by a treat-and-extend regimen. Best-corrected visual acuity using ETDRS letters, central retinal thickness by optical coherence tomography, fluorescein angiography, and OCT angiography were assessed at baseline and 12 months. Peripheral blood samples were collected at both time points to quantify seven circulating cytokines using an IMMULITE chemiluminescent immunoassay and to profile 37 candidate miRNAs by TaqMan OpenArray RT-qPCR from leukocyte-derived RNA. Treatment response was classified using composite anatomical and functional criteria, including intraretinal/subretinal fluid resolution, ≥25% central retinal thickness reduction, and a ≥5 ETDRS letter gain. Results: At one year, patients showed significant central retinal thickness reduction and overall visual stabilization, although good and poor responders differed according to composite response criteria. Statin use was numerically more frequent among poor responders, although this difference was not statistically significant. Soluble IL-2R increased significantly over time in the overall cohort, mainly driven by good responders who showed higher median levels at both visits. IL-8 also increased globally, without significant between-group differences. Among differentially expressed miRNAs, miR-3121 was the only candidate reaching statistical significance and was downregulated in good responders. ROC analysis showed moderate discriminative performance for miR-3121, with an AUC of 0.76. Conclusions: One-year response to Ranibizumab in nAMD may involve systemic immune activation and miRNA regulation. miR-3121 emerges as a candidate biomarker of treatment response, supporting further validation in larger independent cohorts.

Introduction: Age-related macular degeneration (AMD) is the leading cause of irreversible vision loss among people over 55 years of age globally, being neovascular AMD (nAMD) its most aggressive form. Its treatment consists of the use of drugs that block vascular endothelial growth factor (anti-VEGF). Proteomics may allow the identification of differentially expressed proteins between responders and non-responders to each anti-VEGF drug. Thus, the objective of Pharmacoproteomics in the development of personalised medicine in Age-related Macular Degeneration (PHARPRO-AMD) is to find new proteomic biomarkers, predictive of response to antiangiogenic treatment in patients with nAMD. Methods and analysis: PHARPRO-AMD is a nationwide, multicentre, prospective, observational study. Treatment-naïve patients with nAMD starting anti-VEGF therapy will be enrolled and followed up for 2 years. During this period, clinical variables will be gathered to classify treatment response. In addition, blood, tear and vitreous and aqueous humour samples will be collected and will undergo a ZenoSWATH proteomic analysis. Relevant biomarkers identified and response classification will be used to perform a multivariate logistic regression and construct receiver operating characteristic curves. Results: The study is expected to identify a panel of proteomic biomarkers predictive of anti-VEGF treatment response. Integrating data from invasive and non-invasive biological samples may enhance clinical applicability. Once validated, these biomarkers could support the design of future clinical trials on biomarker-guided therapies, helping to optimise treatment regimens and improve visual outcomes. Conclusions: The PHARPRO-AMD study aims to provide proof-of-concept for biomarker-guided anti-VEGF therapy in nAMD, potentially improving vision outcomes. A notable limitation is the exclusion of patients with visual acuity above 73 Early Treatment of Diabetic Retinopathy Study letters, a criterion chosen to reduce potential ceiling effects and improve response assessment accuracy. Ethics and dissemination: Approved by the Galician Network of Ethics Committees, with nationwide validity. Anonymised data will be deposited in open-access repositories and published in peer-reviewed journals. Trial registration number: Spanish Clinical Studies Registry (REec) (0033-2024-OBS).

Our objective was to evaluate changes in patient-reported outcome measures using the NEI-VFQ 25 questionnaire during a treat and extend regimen in naive neovascular Age-Related Macular Degeneration patients, and its correlation with anatomical and functional data. We conducted a prospective observational study. Patients underwent a treat and extend regimen with intravitreal ranibizumab for neovascular Age-Related Macular Degeneration. Initial response was evaluated at 4th month, and subsequently in every follow-up visit. If a clinical response was achieved, the injection interval was extended in two-week increments, up to a maximum of 12 weeks. Quality of life was assessed using the NEI-VFQ 25 questionnaire at baseline, 4th months, and 12th months. Patients were categorized as good or poor responders based on Best corrected visual acuity, central foveal thickness, intraretinal fluid, or subretinal fluid. Treatment with ranibizumab led to a significant improvement in quality of life, with a mean increase in NEI-VFQ 25 score of 4.27 points in the 12th month. No significant differences in improvement were observed between good and poor responders. Quality of life scores in neovascular Age-Related Macular Degeneration patients improved with intravitreal treatment regardless of the clinical response. The early response following the loading phase could indicate better quality of life after one year of treatment, with Best corrected visual acuity being the clinical parameter with the greatest influence on quality of life.

Anti-vascular endothelial growth factor drugs keep being the main therapy for neovascular age-related macular degeneration (AMD). Possible predictive parameters (demographic, biochemical and/or inflammatory) could anticipate short-term treatment response with ranibizumab. 46 treatment-naive patients were included in a prospective observational study. They underwent three monthly injections of intravitreal ranibizumab for neovascular AMD and the clinical examination was made at baseline and one month after the third injection. Demographic characteristics, co-morbidities and concomitant treatments were recorded at the baseline visit. Biochemical parameters, complete blood count and inflammation biomarkers were also measured at these times. Uric Acid was found to be statistically significant with a one-point difference between good and poor responders in both basal and treated patients, but only in basal parameters was statistical significance reached (p = 0.007 vs. p = 0.071 in treated patients). Cholesterol and inflammatory parameters such as white blood cell count and neutrophils were significantly reduced over time when treated with intravitreal ranibizumab. On the other hand, women seemed to have a worse prognosis for short-term response to intravitreal ranibizumab treatment. Uric acid may help identify possible non-responders before initial treatment with ranibizumab, and cholesterol and white blood cells could be good candidates to monitor short-term response to ranibizumab treatment.

Purpose: To determine whether genetic risk single nucleotide polymorphisms (SNPs) for age-related macular degeneration (AMD) influence short-term response to intravitreal ranibizumab treatment. Methods: Forty-four treatment-naive AMD patients were included in a prospective observational study. They underwent three monthly injections of intravitreal ranibizumab for neovascular AMD. After an initial clinical examination (baseline measurement), a follow-up visit was performed to determine treatment response one month after the third injection (treatment evaluation). Patients were evaluated based on ophthalmoscopy, fluorescein angiography, optical coherence tomography (OCT), and OCT angiography. Peripheral venous blood was collected for DNA analysis at baseline visit. Patients were genotyped for single-nucleotide polymorphisms within AMD-relevant genes and classified on good or poor responders based on visual acuity, central retinal thickness, intraretinal fluid, and subretinal fluid. Results: One hundred ten AMD-associated SNPs have been analyzed. Six were found to be relevant when associated to ranibizumab treatment response. The genetic variants rs890293 (CYP2J2), rs11200638 (HTRA1), rs405509 (APOE), rs9513070 (FLT1), and rs8135665 (SLC16A8) predisposed patients to a good response, whereas rs3093077 (CRP) was associated with a poor response. FTL1, SLC16A8, and APOE were the SNPs that showed significance (P < 0.05) but did not pass Bonferroni correction. Conclusions: This is the first study that links novel polymorphisms in genes such as CRP, SCL16A8, or CYP2J2 to treatment response to ranibizumab therapy. On the other hand, HTRA1, FLT1, and APOE are linked to a good ranibizumab response. These SNPs may be good candidates for short-term treatment response biomarkers in AMD patients. However, further studies will be necessary to confirm our findings.

Optical Coherence Tomography Angiography or OCTA represents one of the main means of diagnosis of Age-related Macular Degeneration (AMD), the leading cause of blindness in developed countries. This eye disease is characterized by Macular Neovascularization (MNV), the formation of vessels that tear through the retinal tissues. Four types of MNV can be distinguished, each representing different levels of severity. Both the aggressiveness of the treatment and the recovery of the patient rely on an early detection and correct diagnosis of the stage of the disease. In this work, we propose the first fully-automatic grading methodology that considers all the four clinical types of MNV at the three most relevant OCTA scanning depths for the diagnosis of AMD. We perform both a comprehensive ablation study on the contribution of said depths and an analysis of the attention maps of the network in collaboration with experts of the domain. Our proposal aims to ease the diagnosis burden and decrease the influence of subjectivity on it, offering a explainable grading through the visualization of the attention of the expert models. Our grading proposal achieved satisfactory results with an AUC of 0.9224 ± 0.0381. Additionally, the qualitative analysis performed in collaboration with experts revealed the relevance of the avascular plexus in the grading of all three types of MNV (despite not being directly involved in some of them). Thus, our proposal is not only able to robustly detect MNV in complex scenarios, but also aided to discover previously unconsidered relationships between plexuses.

The automatic identification and segmentation of edemas associated with diabetic macular edema (DME) constitutes a crucial ophthalmological issue as they provide useful information for the evaluation of the disease severity. According to clinical knowledge, the DME disorder can be categorized into three main pathological types: serous retinal detachment (SRD), cystoid macular edema (CME), and diffuse retinal thickening (DRT). The implementation of computational systems for their automatic extraction and characterization may help the clinicians in their daily clinical practice, adjusting the diagnosis and therapies and consequently the life quality of the patients. In this context, this paper proposes a fully automatic system for the identification, segmentation and characterization of the three ME types using optical coherence tomography (OCT) images. In the case of SRD and CME edemas, different approaches were implemented adapting graph cuts and active contours for their identification and precise delimitation. In the case of the DRT edemas, given their fuzzy regional appearance that requires a complex extraction process, an exhaustive analysis using a learning strategy was designed, exploiting intensity, texture, and clinical-based information. The different steps of this methodology were validated with a heterogeneous set of 262 OCT images, using the manual labeling provided by an expert clinician. In general terms, the system provided satisfactory results, reaching Dice coefficient scores of 0.8768, 0.7475, and 0.8913 for the segmentation of SRD, CME, and DRT edemas, respectively.