The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Photoreceptor degeneration and dysfunction in aging and age-related maculopathy
Abstract
The relative rate of rod and cone degeneration is a fundamental characteristic of any disorder affecting photoreceptors, including aging and age-related maculopathy (ARM). The human macula consists of a small cone-dominated fovea surrounded by a rod-dominated parafovea. In aging and early ARM, rods degenerate before cones, a decline in scotopic (rod-mediated) sensitivity is more prominent than a decline in photopic (cone-mediated) sensitivity, and the time course of dark adaptation of rods slows dramatically. The topography of rod dysfunction and loss in early ARM matches the location of pathology in the retinal pigment epithelium (RPE)/Bruch's membrane complex visible in the ocular fundus. Rod dysfunction and loss in aging and ARM may be due to retinoid deficiency at the level of the photoreceptors cause by impaired retinoid translocation across the RPE/Bruch's membrane complex, a hypothesis deserving of further investigation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Though the initial lesions in both GA and CNV involve RPE and Bruch’s membrane pathology, it is the dysfunction and death of macular photoreceptors that are responsible for impairment of central vision in AMD (78).”
From Unraveling a Multifactorial Late-Onset Disease: From Genetic Susceptibility to Disease Mechanisms for Age-Related Macular Degeneration (2009) · cites this paper as [78]
In the citing paper
“In humans, advanced age is accompanied by increased vulnerability to disease, with progressive and generally irreversible loss of physiological functions; in the eye, these include deficits in visual processing and degenerative changes in retinal neurons (particularly rods and ganglion cells) and the RPE (16, 78).”
From Unraveling a Multifactorial Late-Onset Disease: From Genetic Susceptibility to Disease Mechanisms for Age-Related Macular Degeneration (2009) · cites this paper as [78]
Citations
Cites
Handbook of Sensory Physiology
Sanders, M. D. (1975) · British Journal of Ophthalmology · doi:10.1136/bjo.59.2.111-c · Cited by 7,166
Human photoreceptor topography
Curcio, C. A., Sloan, K. R., Kalina, R. E., & Hendrickson, A. E. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902920402 · Cited by 2,894
Self-citationBird, A. C., Bressler, N. M., Bressler, S. B., Chisholm, I. H., Coscas, G., Davis, M. D., de Jong, P. T. V. M., Klaver, C. C. W., Klein, B. E. K., Klein, R., et al. (1995) · Survey of Ophthalmology · doi:10.1016/s0039-6257(05)80092-x · Cited by 1,926
Prevalence of age-related maculopathy
Klein, R., Klein, B. E. K., & Linton, K. L. P. (1992) · Ophthalmology · doi:10.1016/s0161-6420(92)31871-8 · Cited by 1,845
Hageman, G. (2001) · Progress in Retinal and Eye Research · doi:10.1016/s1350-9462(01)00010-6 · Cited by 1,265
The Wisconsin Age-related Maculopathy Grading System
Klein, R., Davis, M. D., Magli, Y. L., Segał, P., Klein, R., & Hubbard, L. D. (1991) · Ophthalmology · doi:10.1016/s0161-6420(91)32186-9 · Cited by 1,188
The Five-year Incidence and Progression of Age-related Maculopathy
Klein, R., Klein, R., Jensen, S. C., & Meuer, S. M. (1997) · Ophthalmology · doi:10.1016/s0161-6420(97)30368-6 · Cited by 1,154
Risk factors for age-related macular degeneration
Smith, W., Assink, J., Klein, R., Mitchell, P., Klaver, C. C. W., Klein, B. E. K., Hofman, A., Jensen, S., Wang, J. J., & de Jong, P. T. V. M. (2001) · Ophthalmology · doi:10.1016/s0161-6420(00)00580-7 · Cited by 1,071
Prevalence of age-related maculopathy in Australia
Mitchell, P., Smith, W., Attebo, K., & Wang, J. J. (1995) · Ophthalmology · doi:10.1016/s0161-6420(95)30846-9 · Cited by 1,062
Research works printed but not linked: 2
- Lamb, 1998, Towards a molecular description of human dark adaptation, J. Physiol., 506, 88
- Marshall, J., Hussain, A.A., Starita, C., Moore, D.J., Patmore, A.L., 1998. Aging and Bruch’s membrane. In: Marmor, M.F., Wolfensberger, T.J. (Eds.), The Retinal Pigment Epithelium: Function and Disease. Oxford University Press, New York, pp. 669–692.
Cited by
Sorted by citations
Items 301–317 of 317
Lamin, A. (2019) · UCL Discovery (University College London)
Modeling age-related ocular media changes using the Farnsworth Munsell (FM) 100-Hue Test
Opoku‐Yamoah, V. (2021) · UWSpace (University of Waterloo)
Bechrakis, N. E., Luthert, P. J., & Wilson, D. J. (2014) · Springer eBooks · doi:10.1007/978-3-662-43382-9_9
Chowdary, M. V. V. S., & Ramana, T. V. (2022) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v29.i2.pp1174-1182
Lifestyle and eye care 3 - A move to the dark side: The role of dark adaptation
Narayan, R. (2021) · Optician · doi:10.12968/opti.2021.3.8517
Ythdf2 ablation protects aged retina from RGC dendrite shrinking and visual declinePreprint
Niu, F., Long, G., Zhang, J., She, Y., Yu, J., & Ji, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.05.522855
CPD: Age-related macular degeneration 2
Narayan, R., & Harvey, B. (2023) · Optician · doi:10.12968/opti.2023.267.6886.20
Induction of age-related ocular disorders in a mouse model of pulmonary fibrosis
Wang, C., Li, X., Tang, Q., Wu, J., & Chen, J.-G. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110238
Majumdar, S., & Wu, V. (2025) · Brain Sciences · doi:10.3390/brainsci15091024
García, J. B., Ferrazzini, T., Coito, A. L., Brügger, D., & Abegg, M. H. (2025) · Journal of Eye Movement Research · doi:10.3390/jemr18060066
Touhami, S. (2018) · theses.fr (ABES) · doi:10.70675/906d91bcz2fb6z4a41zb6bez8e9eff5bb35b
Modélisation du vieillissement dans le système visuel & la boîte à outils Python de Convis
Huth, J. (2018) · theses.fr (ABES) · doi:10.70675/1cc42d27zfc3ez46f4z9550z7cf7150b8e30
Berkowitz, B. A., Podolsky, R. H., Ataman, E. S., Kaur, S., Ahmed, S., Moretti, M., Johnson, M., Soetedjo, J., O'Neil, E., Waseem, R., et al. (2026) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.67.8.41
Berrow, E. J. (2012) · Aston Publications Explorer (Aston University) · doi:10.48780/publications.aston.ac.uk.00016328
Metadata
- Authors
- Jackson, G. R., Owsley, C., & Curcio, C. A.
- Affiliations
- University of Alabama (US)
- Corresponding author
- Curcio, Christine A
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 1
- Issue
- 3
- Pages
- 381-396
- ISSN
- 1568-1637 (ISSN-L)
- OpenAlex
- W1970140546
- Cited by
- 317
- References
- 91
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 7 · 2023: 13 · 2022: 15 · 2021: 17 · 2020: 20 · 2019: 14 · 2018: 14 · 2017: 17 · 2016: 16 · 2015: 9 · 2014: 13 · 2013: 25 · 2012: 16
- FWCI
- 2.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R01 AG 04212, R01AG004212)
- National Eye Institute (R01EY006109, EY06109)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Keywords
- photoreceptor degeneration, rod photoreceptors, cone photoreceptors, age-related maculopathy, retinal aging, scotopic sensitivity, dark adaptation, retinal pigment epithelium, Bruch's membrane, macula
- MeSH terms
- Aging, Animals, Dark Adaptation, Humans, Macular Degeneration, Photoreceptor Cells, Vertebrate
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
