EDITORIAL article

Front. Cell. Neurosci., 08 May 2025

Sec. Cellular Neuropathology

Volume 19 - 2025 | https://doi.org/10.3389/fncel.2025.1609473

This article is part of the Research TopicPhysiological and Pathological Changes of the Retina Associated With AgeingView all 5 articles

Editorial: Physiological and pathological changes of the retina associated with ageing

  • 1Institute for Biomedical Research and Innovation of Cádiz, University of Cádiz, Cádiz, Spain
  • 2Departamento de Endocrinología y Nutrición, Hospital Universitario Puerta del Mar, Cádiz, Spain
  • 3Wellcome-Wolfson Institute of Experimental Medicine, Queen's University Belfast, Belfast, United Kingdom
  • 4Department of Inflammation and Ageing, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom
  • 5Autonomous University of Barcelona, Barcelona, Spain
  • 6Vall d'Hebron Research Institute (VHIR), Barcelona, Spain

Aging is a gradual, multifactorial process driven by time-dependent changes that progressively impair biological systems. In the nervous system, these alterations often lead to a decline in neuronal activity contributing to sensory deficits. Vision is particularly susceptible to age-related decline, which can severely impact on the quality of life by limiting daily activities, social engagement, and independence. The rapid expansion of the aging population poses major public health and socioeconomic challenges. By 2050, the proportion of individuals aged 65 and older is projected to increase from 9.3% in 2020 to 16%, significantly increasing the burden of vision-threatening conditions and associated healthcare cost (UN Population Division, 2020). Among these, age related macular degeneration, diabetic retinopathy, and glaucoma, leading causes of blindness worldwide, are expected to significantly contribute to this public health challenge (Teo et al., 2021; Wong et al., 2014; Tham et al., 2014). This Research Topic brings together four manuscripts that advance our understanding of how aging impact the healthy and disease retina.

The rod visual pathway undergoes significant structural remodeling with age. Changes are evident at the rod photoreceptor level, including shortening of outer segments, reduced opsin expression and axonal retraction. Second order neurons (including bipolar and horizontal cells), undergo compensatory sprouting, yet this remodeling appears insufficient to prevent age-related decline. In a longitudinal study of the aging mouse retina, Gierke et al. describe age-related changes in rod and cone photoreceptor ribbon synapses and postsynaptic neurons. Building on previous research (Sullivan et al., 2007; Terzibasi et al., 2009), they demonstrate synaptic plasticity in photoreceptors during aging through the formation of ectopic synapses between photoreceptors and second-order neurons. Interestingly, they report that synaptic remodeling during aging was not associated with changes in the protein composition of ribbon synapses, but rather with an increase in mitochondrial size in photoreceptor terminals. These findings are significant not only for understanding photoreceptor decline and synaptic remodeling during aging, but also for conditions that may accelerate retinal aging including diabetes (Hombrebueno et al., 2019; Crespo-Garcia et al., 2024), where disrupted mitochondrial homeostasis has emerged as a key factor in photoreceptor synaptic decline (Anderson et al., 2024).

Age-related macular degeneration (AMD) is one of the most prevalent visual conditions associated with aging (Wong et al., 2014). The pathogenesis of AMD is complex, with chronic inflammation playing a significant role, driven in part by microglial activation and cellular senescence, which exacerbate secretion of pro-inflammatory factors (Kauppinen et al., 2016). Among these, secreted phosphoprotein 1 (SPP1) has emerged as an important pathogenic mediator in inflammatory disorders (Wung et al., 2007; Chabas et al., 2001; Sato, 2005; Wong et al., 2005). To better understand the role of SPP1 in AMD, Lei et al. report a single-cell sequencing study of the human macula neuroretina. Their findings show a dominant upregulation of pro-inflammatory over anti-inflammatory cytokines in retinal microglia from AMD patients. Furthermore, they demonstrate that SPP1 is the most elevated senescence-related cytokines in both wet and dry AMD, which is associated with the pro-inflammatory and phagocytic status of microglia. This study underscores the pathogenic role of SPP1 in AMD and highlights its potential as a therapeutic target for this devastating visual condition.

While elevated intraocular pressure (IOP) is widely recognized as a major risk factor for glaucoma, aging independently contributes to ocular tissue vulnerability (Chang and Goldberg, 2012; Baudouin et al., 2021). People affected by glaucoma exhibit increased autoantibody titers against several proteins including heat shock proteins (HSPs) (Grotegut et al., 2020). HSPs maintain proteostasis by assisting in protein folding and degradation of misfolded proteins (Miyata et al., 2013). In glaucoma, elevated HSP27 expression and serum autoantibodies have been observed (Grotegut et al., 2020), while intravitreal HSP27 injection induces RGC cell loss independent of IOP (Grotegut et al., 2020). Building on these findings, Erb et al. sought to investigate whether age increases susceptibility to HSP27-induced glaucomatous damage. In their study, young (1–2 months) and older (7–8 months) mice received intravitreal injections of HSP27. No significant age-dependent differences were observed in the extent of RGC and optic nerve degeneration. However, older mice demonstrated a slightly heightened inflammatory response, as indicated by increased microglial activation. Further research on aged mice (16–18 month old) (Llorián-Salvador et al., 2024), is necessary to fully understand the role of HSP27 in age-related neurodegeneration and its potential contribution to glaucoma progression.

Extracellular matrix (ECM) is also affected by aging, leading to structural and biochemical alterations (Birch, 2018), which may compromise the homeostasis of retinal neurons. Accordingly, ECM alterations have emerged as important contributors of retinal disease, including AMD and diabetic retinopathy (Martins and Fernandes, 2023; Roy et al., 2016). Muller glia are critical for extracellular matrix remodeling (Limb et al., 2002), yet this function declines with age as shown by reduced production of ECM components and altered expression of matrix metalloproteinases. To further advance knowledge on this exciting research area, Prieto-López et al. present a comprehensive review of the role of Muller glia in shaping the ECM under physiological and pathological conditions. They also review the suitability of several biomaterials that mimic retinal ECM, positioning this review as a useful resource for refining in vitro platforms aimed at modelling ECM alterations in health and disease.

As the aging population and life-expectancy continues to grow, it is imperative to deepen our understanding of the molecular and cellular processes underpinning retinal aging and disease progression. Advancing this knowledge will offer new therapeutic avenues aimed at preserving vision, mitigate the healthspan-lifespan gap, and alleviate the societal challenges posed by age-related vision loss. We hope that this Research Topic has contributed meaningfully to clarifying key aspects of retinal aging, while highlighting the complex, multifactorial nature of age-related changes in both the healthy and diseased eye.

Author contributions

AIA: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. EB: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. JH: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. ML-S: Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. ML-S was the recipient of the Maria Zambrano fellowship from Spanish Ministry of Science, Innovation and Universities, financed by European Union “NextGenerationEU” (Universitat Autònoma de Barcelona), and Beatriu de Pinos fellowship, financed by Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR, Generalitat de Catalunya). JH was supported by Fight for Sight (RESPRJ2303) and Diabetes UK (20/0006296), AIA was supported by Instituto de Salud Carlos III PI22/01718 and Grant CPP2022-009867 funded by MICIU/AEI/10.13039/501100011033 by the Europa Union Nextgeneration EU/PRTR; EB was supported Diabetes UK (23/0006592, 23/0006623), and MRC (MR/Z504622/1).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Anderson, A., Alfahad, N., Wimalachandra, D., Bouzinab, K., Rudzinska, P., Wood, H., et al. (2024). Relaxation of mitochondrial hyperfusion in the diabetic retina via N6-furfuryladenosine confers neuroprotection regardless of glycaemic status. Nat. Commun. 15:1124. doi: 10.1038/s41467-024-45387-9

PubMed Abstract | Crossref Full Text | Google Scholar

Baudouin, C., Kolko, M., Melik-Parsadaniantz, S., and Messmer, E. M. (2021). Inflammation in glaucoma: from the back to the front of the eye, and beyond. Prog. Retin. Eye Res. 83:100916. doi: 10.1016/j.preteyeres.2020.100916

PubMed Abstract | Crossref Full Text | Google Scholar

Birch, H. L. (2018). Extracellular matrix and ageing. Subcell Biochem. 90, 169–190. doi: 10.1007/978-981-13-2835-0_7

PubMed Abstract | Crossref Full Text | Google Scholar

Chabas, D., Baranzini, S. E., Mitchell, D., Bernard, C. C. A., Rittling, S. R., Denhardt, D. T., et al. (2001). The influence of the proinflammatory cytokine, osteopontin, on autoimmune demyelinating disease. Science 294, 1731–1735. doi: 10.1126/science.1062960

PubMed Abstract | Crossref Full Text | Google Scholar

Chang, E. E., and Goldberg, J. L. (2012). Glaucoma 2.0: neuroprotection, neuroregeneration, neuroenhancement. Ophthalmology 119, 979–986. doi: 10.1016/j.ophtha.2011.11.003

PubMed Abstract | Crossref Full Text | Google Scholar

Crespo-Garcia, S., Fournier, F., Diaz-Marin, R., Klier, S., Ragusa, D., Masaki, L., et al. (2024). Therapeutic targeting of cellular senescence in diabetic macular edema: preclinical and phase 1 trial results. Nat Med. 30, 443–454. doi: 10.1038/s41591-024-02802-4

PubMed Abstract | Crossref Full Text | Google Scholar

Grotegut, P., Kuehn, S., Dick, H. B., and Joachim, S. C. (2020). Destructive effect of intravitreal heat shock protein 27 application on retinal ganglion cells and neurofilament. Int. J. Mol. Sci. 21:549. doi: 10.3390/ijms21020549

PubMed Abstract | Crossref Full Text | Google Scholar

Hombrebueno, J. R., Cairns, L., Dutton, L. R., Lyons, T. J., Brazil, D. P., Moynagh, P., et al. (2019). Uncoupled turnover disrupts mitochondrial quality control in diabetic retinopathy. JCI Insight 4:e129760. doi: 10.1172/jci.insight.129760

PubMed Abstract | Crossref Full Text | Google Scholar

Kauppinen, A., Paterno, J. J., Blasiak, J., Salminen, A., and Kaarniranta, K. (2016). Inflammation and its role in age-related macular degeneration. Cell Mol Life Sci. 73, 1765–1786. doi: 10.1007/s00018-016-2147-8

PubMed Abstract | Crossref Full Text | Google Scholar

Limb, G. A., Daniels, J. T., Pleass, R., Charteris, D. G., Luthert, P. J., Khaw, P. T., et al. (2002). Differential expression of matrix metalloproteinases 2 and 9 by glial Müller cells. Am. J. Pathol. 160, 1847–1855. doi: 10.1016/S0002-9440(10)61131-5

PubMed Abstract | Crossref Full Text | Google Scholar

Llorián-Salvador, M., de Fuente, A. G., McMurran, C. E., Dashwood, A., Dooley, J., Liston, A., et al. (2024). Regulatory T cells limit age-associated retinal inflammation and neurodegeneration. Mol. Neurodegener. 19:32. doi: 10.1186/s13024-024-00724-w

PubMed Abstract | Crossref Full Text | Google Scholar

Martins, B., and Fernandes, R. (2023). Disturbed matrix metalloproteinases activity in age-related macular degeneration. Adv. Exp. Med. Biol. 1415, 21–26. doi: 10.1007/978-3-031-27681-1_4

PubMed Abstract | Crossref Full Text | Google Scholar

Miyata, Y., Nakamoto, H., and Neckers, L. (2013). The therapeutic target Hsp90 and cancer hallmarks. Curr. Pharm. Des. 19, 347–365. doi: 10.2174/138161213804143725

PubMed Abstract | Crossref Full Text | Google Scholar

Roy, S., Amin, S., and Roy, S. (2016). Retinal fibrosis in diabetic retinopathy. Exp Eye Res. 142, 71–75. doi: 10.1016/j.exer.2015.04.004

PubMed Abstract | Crossref Full Text | Google Scholar

Sato, T. (2005). Osteopontin/Eta-1 upregulated in Crohn's disease regulates the Th1 immune response. Gut 54, 1254–1262. doi: 10.1136/gut.2004.048298

PubMed Abstract | Crossref Full Text | Google Scholar

Sullivan, R. K. P., WoldeMussie, E., and Pow, D. V. (2007). Dendritic and synaptic plasticity of neurons in the human age-related macular degeneration retina. Investig. Opthalmol. Vis. Sci. 48:2782. doi: 10.1167/iovs.06-1283

PubMed Abstract | Crossref Full Text | Google Scholar

Teo, Z. L., Tham, Y.-C., Yu, M., Chee, M. L., Rim, T. H., Cheung, N., et al. (2021). Global prevalence of diabetic retinopathy and projection of burden through 2045. Ophthalmology 128, 1580–1591. doi: 10.1016/j.ophtha.2021.04.027

PubMed Abstract | Crossref Full Text | Google Scholar

Terzibasi, E., Calamusa, M., Novelli, E., Domenici, L., Strettoi, E., Cellerino, A., et al. (2009). Age-dependent remodeling of retinal circuitry. Neurobiol. Aging 30, 819–828. doi: 10.1016/j.neurobiolaging.2007.08.017

PubMed Abstract | Crossref Full Text | Google Scholar

Tham, Y.-C., Li, X., Wong, T. Y., Quigley, H. A., Aung, T., Cheng, C.-Y., et al. (2014). Global prevalence of glaucoma and projections of glaucoma burden through 2040. Ophthalmology 121, 2081–2090. doi: 10.1016/j.ophtha.2014.05.013

PubMed Abstract | Crossref Full Text | Google Scholar

UN Population Division (2020). World Population Ageing 2020 Highlights: Living Arrangements of Older Persons. New York, NY: UN Population Division.

Google Scholar

Wong, C. K., Lit, L. C. W., Tam, L. S., Li, E. K., and Lam, C. W. K. (2005). Elevation of plasma osteopontin concentration is correlated with disease activity in patients with systemic lupus erythematosus. Rheumatology 44, 602–606. doi: 10.1093/rheumatology/keh558

PubMed Abstract | Crossref Full Text | Google Scholar

Wong, W. L., Su, X., Li, X., Cheung, C. M. G., Klein, R., Cheng, C.-Y., et al. (2014). Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis. Lancet Glob Health 2:e106-16. doi: 10.1016/S2214-109X(13)70145-1

PubMed Abstract | Crossref Full Text | Google Scholar

Wung, J., Perry, G., Kowalski, A. R., Harris, P., Bishop, G., Trivedi, M., et al. (2007). Increased expression of the remodeling- and tumorigenic-associated factor osteopontin in pyramidal neurons of the Alzheimers disease brain. Curr. Alzheimer Res. 4, 67–72. doi: 10.2174/156720507779939869

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: retina, aging, age-related macula degeneration (AMD), glaucoma, senescence

Citation: Arroba AI, Beli E, Hombrebueno JR and Llorián-Salvador M (2025) Editorial: Physiological and pathological changes of the retina associated with ageing. Front. Cell. Neurosci. 19:1609473. doi: 10.3389/fncel.2025.1609473

Received: 10 April 2025; Accepted: 14 April 2025;
Published: 08 May 2025.

Edited and reviewed by: Dirk M. Hermann, University of Duisburg-Essen, Germany

Copyright © 2025 Arroba, Beli, Hombrebueno and Llorián-Salvador. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: María Llorián-Salvador, bS5sbG9yaWFuc2FsdmFkb3JAcXViLmFjLnVr

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.