The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
CX3CR1-dependent subretinal microglia cell accumulation is associated with cardinal features of age-related macular degeneration
Open accessAbstract
The role of retinal microglial cells (MCs) in age-related macular degeneration (AMD) is unclear. Here we demonstrated that all retinal MCs express CX3C chemokine receptor 1 (CX3CR1) and that homozygosity for the CX3CR1 M280 allele, which is associated with impaired cell migration, increases the risk of AMD. In humans with AMD, MCs accumulated in the subretinal space at sites of retinal degeneration and choroidal neovascularization (CNV). In CX3CR1-deficient mice, MCs accumulated subretinally with age and albino background and after laser impact preceding retinal degeneration. Raising the albino mice in the dark prevented both events. The appearance of lipid-bloated subretinal MCs was drusen-like on funduscopy of senescent mice, and CX3CR1-dependent MC accumulation was associated with an exacerbation of experimental CNV. These results show that CX3CR1-dependent accumulation of subretinal MCs evokes cardinal features of AMD. These findings reveal what we believe to be a novel pathogenic process with important implications for the development of new therapies for AMD.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Cx3cr1 knockout mice exhibited age-dependent subretinal microglial accumulation and retinal degeneration.37,38”
From CX3CR1 Deficiency Alters Microglial Activation and Reduces Beta-Amyloid Deposition in Two Alzheimer's Disease Mouse Models (2010) · cites this paper as [37]
In the citing paper
“In a French study, homozygosity for the CX3CR1 T280M allele was also reported to be associated with AMD (Combadiere et al., 2007).”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“whose immunohistochemical analysis in humans showed that CX3CR1 was expressed on all retinal microglial cells, and these cells are the only cells in the retina that express CX3CR1.”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“Their immunohistochemical analysis of AMD cases suggest that CX3CR1-positive microglial cells accumulated subretinally in affected areas of the macula”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“Moreover, Cx3cr1−/− mice exhibited increased microglial accumulation after laser-injury, as well as worsened laser-induced CNV and retinal degeneration.”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“Cx3cr1−/− mice demonstrated retinal degeneration and drusen-like deposits, which contained bloated accumulated microglia capable of phagocytosing outer segments of photoreceptor cells in 18 months and older mice.”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“The CX3CR1 SNP is associated with impaired microglial chemotaxis (Combadiere et al., 2007).”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“CX3CR1 positive cells in drusen and near CNV membranes are microglial cells in human AMD eyes (Combadiere et al., 2007).”
From Molecular pathology of age-related macular degeneration (2009) · cites this paper as Combadiere et al., 2007
In the citing paper
“Age-related macular degeneration (AMD) is associated with chronic inflammation [29, 65] and altered fecal microbial metabolite profiles [100].”
From Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain (2022) · cites this paper as [29]
In the citing paper
“homozygosity of the M280 allele showed defective cell migration and appeared to be associated with higher AMD susceptibility (30).”
From Unraveling a Multifactorial Late-Onset Disease: From Genetic Susceptibility to Disease Mechanisms for Age-Related Macular Degeneration (2009) · cites this paper as [30]
In the citing paper
“Homozygosity of the CX3CR1 M280 allele and V249I allele, associated with impaired microglial cell migration, has been shown to increase the risk of AMD (Combadiere et al., 2007; Tuo et al., 2004).”
From Retinal ultrastructure of murine models of dry age-related macular degeneration (AMD) (2010) · cites this paper as Combadiere et al., 2007
In the citing paper
“At 12 months of age, ultrastructural analysis of senescent Cx3cr1−/− mice revealed subretinal cells that contained intracellular lipid deposits and outer segment remnants between the photoreceptor outer segment and RPE.”
From Retinal ultrastructure of murine models of dry age-related macular degeneration (AMD) (2010) · cites this paper as Combadiere et al., 2007
In the citing paper
“At this age, the Cx3cr1−/− mice had significant (40%) thinning of the outer retina, mainly the outer nuclear layer, which progressed to marked degeneration of the photoreceptor layer by 4 months of age when compared to wild-type mice.”
From Retinal ultrastructure of murine models of dry age-related macular degeneration (AMD) (2010) · cites this paper as Combadiere et al., 2007
In the citing paper
“At 18 months of age, the engorged subretinal microglial cells appeared drusen-like on fundoscopy (Combadiere et al., 2007).”
From Retinal ultrastructure of murine models of dry age-related macular degeneration (AMD) (2010) · cites this paper as Combadiere et al., 2007
In the citing paper
“After laser injury, Cx3cr1−/− mice showed signs of significant CNV compared to wild-type mice (Combadiere et al., 2007).”
From Retinal ultrastructure of murine models of dry age-related macular degeneration (AMD) (2010) · cites this paper as Combadiere et al., 2007
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
Geissmann, F., Jung, S., & Littman, D. R. (2003) · Immunity · doi:10.1016/s1074-7613(03)00174-2 · Cited by 3,504
Prevalence of Age-Related Macular Degeneration in the United States
The Eye Diseases Prevalence Research Group* (2004) · Archives of Ophthalmology · doi:10.1001/archopht.122.4.564 · Cited by 2,774
Jung, S., Aliberti, J., Graemmel, P., Sunshine, M. J., Kreutzberg, G. W., Sher, A., & Littman, D. R. (2000) · Molecular and Cellular Biology · doi:10.1128/mcb.20.11.4106-4114.2000 · Cited by 2,632
Complement factor H polymorphism and age-related macular degeneration
Edwards, A. O., Ritter, R., Abel, K. J., Manning, A., Panhuysen, C., & Farrer, L. A. (2005) · Science · doi:10.1126/science.1110189 · Cited by 2,449
Complement factor H variant increases the risk of age-related macular degeneration
Haines, J. L., Hauser, M. A., Schmidt, S., Scott, W. K., Olson, L. M., Gallins, P., Spencer, K. L., Kwan, S. Y., Noureddine, M., Gilbert, J. R., et al. (2005) · Science · doi:10.1126/science.1110359 · Cited by 2,424
Bird, 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
AN INVESTIGATION OF CORONARY HEART DISEASE IN FAMILIES
Kannel, W. B., Feinleib, M., McNAMARA, P. M., Garrison, R. J., & Castelli, W. P. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112813 · Cited by 1,639
Control of microglial neurotoxicity by the fractalkine receptor
Cardona, A. E., Pioro, E. P., Sasse, M. E., Kostenko, V., Cardona, S. M., Dijkstra, I. M., Huang, D., Kidd, G., Dombrowski, S., Dutta, R., et al. (2006) · Nature Neuroscience · doi:10.1038/nn1715 · Cited by 1,531
Hageman, G. (2001) · Progress in Retinal and Eye Research · doi:10.1016/s1350-9462(01)00010-6 · Cited by 1,265
Mullins, R. F., Russell, S. R., Anderson, D. H., & Hageman, G. S. (2000) · The FASEB Journal · doi:10.1096/fasebj.14.7.835 · Cited by 937
Flagged first, then by citations
Research works printed but not linked: 2
- Ng, 2001, Invest. Ophthalmol. Vis. Sci., 42, 3301
- Matsubara, 1999, Invest. Ophthalmol. Vis. Sci., 40, 3186
Cited by
Sorted by citations
Items 501–600 of 624
New Developments in Murine Imaging for Assessing Photoreceptor Degeneration In Vivo
Burns, M. E., Levine, E. S., Miller, E. B., Zam, A., Zhang, P., Zawadzki, R. J., & Pugh, E. N. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-17121-0_36 · Cited by 3
“Moreover, homozygous Cx3cr1 knockout mice show photoreceptor degeneration and the accumulation of phagocytic monocytes in the subretinal space (Combadière et al. 2007).”
BackgroundHuang, Q., & Xiang, Y. (2018) · Medical Science Monitor · doi:10.12659/msm.906298 · Cited by 3
Su, N., Hansen, U. J., Plagemann, T., Gäher, K., Leclaire, M. D., König, J., Höhn, A., Grune, T., Uhlig, C. E., Eter, N., et al. (2022) · Aging and Disease · doi:10.14336/ad.2022.0626 · Cited by 3
“In addition, response of retinal microglia (MG) to extracellular LF could also contribute to pathologies in the back of the eye, as it is known that MG cells migrate into the subretinal space at higher age, in particular in the case of AMD [6-9].”
BackgroundIda Mann Lecture 2007: Planet Eye
McMenamin, P. G. (2008) · Clinical and Experimental Ophthalmology · doi:10.1111/j.1442-9071.2008.01868.x · Cited by 3
“They concluded that this represented ‘AMD-like changes’ in this mouse model.30,31 However, closer examination of older heterozygous mice (essentially ‘normal’ as they carry one Cx3cr1 gene and one ‘green gene’, a type of ‘control’ for studies on homozygous mice) and wild type mice in our own laboratory and by Xu et al…”
BackgroundResultInfluentialRadiation Retinopathy: Microangiopathy-Inflammation-Neurodegeneration
Davids, A., Pompös, I.-M., Kociok, N., Heufelder, J., Skosyrski, S., Reichhart, N., Joussen, A. M., & Wolf, S. A. (2025) · Cells · doi:10.3390/cells14040298 · Cited by 2
The Role of Inflammation in Age-Related Macular Degeneration
Harris, J. M., & Wu, D. M. (2025) · International Ophthalmology Clinics · doi:10.1097/iio.0000000000000578 · Cited by 2
Fibrogliosis in neovascular age-related macular degeneration: A new mechanistic perspective
Merle, D. A., Beretta, F., Sacconi, R., & Querques, G. (2025) · Survey of Ophthalmology · doi:10.1016/j.survophthal.2025.09.019 · Cited by 2
Wang, X., Feng, Z., Sun, S., Zhang, J., Wang, K., Wang, Y., Zhao, Y., Zhao, B., Liu, B., Sun, M., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102983 · Cited by 2
Inoda, S., Takahashi, H., Hashimoto, Y., Yoshida, H., Takahashi, H., Takayama, T., Tsuchiya, S., Matsumoto, D., Kawashima, H., Kaburaki, T., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-28911-9 · Cited by 2
“Activated microglia accumulating in the retina have been implicated in the pathogenesis of nAMD by mediating an inflammatory response 61–63 .”
Parolini, F., Pilotto, E., Midena, E., & Midena, G. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15041453 · Cited by 2
Age-Related Neurovascular Dysfunction in the Retina and Potential Pathogenic Mechanisms
Wu, Y., Cao, Q., & Liu, Q. (2026) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.67.4.16 · Cited by 2
“12 In the retinas of aged mice, photoreceptors exhibit degenerative changes, 51 and aberrant dendritic extensions of bipolar and horizontal cells into the outer nuclear layer disrupt normal synaptic contacts with photoreceptors.”
Harris, C., Nisar, M. A., Amamoo, R., Patel, R., Martin, P. M., Jadeja, R. N., & Thounaojam, M. C. (2026) · Experimental Eye Research · doi:10.1016/j.exer.2026.111094 · Cited by 3
Associations of the Adaptive Immune System and Age-Related Macular Degeneration
Stürzbecher, L., & Strauß, O. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-76550-6_1 · Cited by 2
MFGE8 Does Not Influence Chorio-Retinal Homeostasis or Choroidal Neovascularization in vivo
Raoul, W., Poupel, L., Trégouët, D., Lavalette, S., Camelo, S., Keller, N., Krumeich, S., Calippe, B., Guillonneau, X., Béhar‐Cohen, F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033244 · Cited by 2
Self-citationLa cellule microgliale rétinienne
Sennlaub, F., & Combadière, C. (2008) · médecine/sciences · doi:10.1051/medsci/2008244365 · Cited by 2
Self-citationInflammation in Age-Related Macular Degeneration: What is the Evidence?
Xu, H., & Forrester, J. V. (2008) · Essentials in ophthalmology/Essentials ophthalmology · doi:10.1007/978-3-540-69459-5_7 · Cited by 2
Essentials of Retinal Morphology
Mullins, R. F., & Skeie, J. M. (2009) · Neuromethods · doi:10.1007/978-1-60761-541-5_1 · Cited by 2
Inflammatory Response and Mediators in Retinal Injury
Chan, C., & Smith, W. M. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4557-0737-9.00025-4 · Cited by 2
Okuda, Y., Fukumoto, M., Horie, T., Oku, H., Takai, S., Nakanishi, T., Matsuzaki, K., Tsujimoto, H., & Ikeda, T. (2018) · Clinical ophthalmology · doi:10.2147/opth.s181110 · Cited by 2
“Because inflammatory cells, such as macrophages, play a critical role in the development of CNV, we immunohistochemically analyzed the infiltration of macrophages in our laser-induced murine CNV (Figure 2A).(21) A significant decrease in the number of CD68+ macrophages was seen in the CNVs of CAN-PLGA-treated eyes, co…”
BackgroundTobalem, S., Kecik, M., Midroit, M., Scaldino, D., Tardy, S., Bascuas, T., Harmening, N., Scapozza, L., Thumann, G., & Kropp, M. (2021) · Journal of Ophthalmology and Research · doi:10.26502/fjor.2644-00240032 · Cited by 2
Inflammation in Age-Related Macular Degeneration – Implications for Therapy
Chen, M., & Xu, H. (2012) · InTech eBooks · doi:10.5772/25658 · Cited by 2
“Animals with monocyte dysfunction due to lack of certain chemokine (e.g. CCL2) (Ambati et al. 2003) or chemokine receptors (CCR2, or CX3CR1) (Ambati et al. 2003, Combadiere et al. 2007, Tuo et al. 2007) develop AMD-like lesions.”
BackgroundInfluentialMalek, G., Yao, P., & Choudhary, M. (2020) · Topics in medicinal chemistry · doi:10.1007/7355_2020_93 · Cited by 2
Francis, P. J. (2010) · Wiley eBooks · doi:10.1002/9780470015902.a0023109 · Cited by 2
Ma, W., Zhao, L., Xu, B., Fariss, R. N., Redmond, T. M., Zou, J., Wong, W. T., & Li, W. (2023) · eLife · doi:10.7554/elife.90695.1 · Cited by 2
Ma, W., Zhao, L., Xu, B., Fariss, R. N., Redmond, T. M., Zou, J., Wong, W. T., & Li, W. (2024) · eLife · doi:10.7554/elife.90695.2 · Cited by 2
Leonardi, A., Vasconcelos-Santos, D. V., Nogueira, J. C., & McMenamin, P. G. (2016) · Springer eBooks · doi:10.1007/978-3-540-75387-2_1 · Cited by 1
Sezgın, E., Schneider, M. F., Hunt, P. W., Beck‐Engeser, G., Ambayac, G. C., & Jabs, D. A. (2024) · Ophthalmic Genetics · doi:10.1080/13816810.2024.2330380 · Cited by 1
Melatonin Overexpression in the Management of Alzheimer's Disease: Therapeutic Exploration
Gupta, B., Malviya, R., Sundram, S., Sridhar, S. B., & Singh, D. P. (2025) · Current Topics in Medicinal Chemistry · doi:10.2174/0115680266327614241121050448 · Cited by 1
CXCR4+ monocytes promote neovascularization in wet age-related macular degeneration
Wen, Y., Gao, R., Chen, L., & Li, S. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110550 · Cited by 1
Immune Privilege of the Eye: A Delicate Balance Between Clarity and Chaos
Prieto-Nevárez, H. M., Tarango-García, A., Ollivier-Valenzuela, L. I., Álvarez-Cardona, A., & Reyes, S. O. L. (2026) · Ocular Immunology and Inflammation · doi:10.1080/09273948.2026.2677099 · Cited by 1
Ocular Vascular Endothelial Heterogeneity
Bhattacharjee, A., & Smith, J. R. (2009) · Vascular Disease Prevention · doi:10.2174/1567270000906010131 · Cited by 1
“CX3CR1 gene deficient mice also develop AMD-like lesions, but choroidal neovascularization appears to require choroidal laser photocoagulation injury [52].”
Cell and Animal Models used for Retinal Stem Cell Research
Young, M. J., & Park, J. Y. (2018) · Fundamental biomedical technologies · doi:10.1007/978-3-319-98080-5_4 · Cited by 1
Church, K. A., Cardona, A. E., & Hopp, S. C. (2024) · Advances in neurobiology · doi:10.1007/978-3-031-55529-9_15 · Cited by 1
Sadikan, M. Z., Lambuk, L., Reshidan, N. H., Ghani, N. A. A., Ahmad, A. I., Kamal, M. S. A., Lazaldin, M. A. M., Hairi, H. A., Mohamud, R., & Nasir, N. A. A. (2025) · Journal of Ocular Pharmacology and Therapeutics · doi:10.1089/jop.2024.0123 · Cited by 1
“38 The complementary factor H (CFH) pathway is a signi fi cant genetic risk factor for AMD in fl ammation pathogenesis.”
Therapeutical Implications of Melatonin in Alzheimer’s and Parkinson’s Diseases
Cardinali, D. P., Vigo, D. E., Olivar, N., Vidal, M. F., & Brusco, L. I. (2015) · Molecular and integrative toxicology · doi:10.1007/978-3-319-15630-9_9 · Cited by 1
“Another common factor in the pathogenesis of AD is the activation of microglia with consequent more expression of proinflammatory cytokines (Arends et al. 2000; Combadiere et al. 2007; Streit et al. 2004; Shen et al. 2007).”
BackgroundAge-Related Macular Degeneration and Vision Impairment
Wright, C. B., & Ambati, J. (2015) · Springer eBooks · doi:10.1007/978-3-319-23246-1_16 · Cited by 1
Animal Models of Age-Related Macular Degeneration
Zeiss, C. J. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-415894-8.00005-1 · Cited by 1
Pathogenesis of neovascular age-related macular degeneration
Li, W. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822061-0.00006-2 · Cited by 1
Common and rare variants in patients with early onset drusen maculopathy
de Breuk, A., Lechanteur, Y. T. E., Astuti, G., Corominas, J., Klaver, C. C. W., Hoyng, C. B., & den Hollander, A. I. (2022) · Clinical Genetics · doi:10.1111/cge.14212 · Cited by 1
“The limited sample size and the design of the study did not allow to detect significant associations of rare variants with EODM.”
BackgroundInfluentialPabon, M. M. (2011) · Digital Commons - University of South Florida (University of South Florida) · Cited by 1
Guan, H., Yang, X. Y., Hu, J., Lü, H., & Tuo, J. (2009) · Expert Review of Ophthalmology · doi:10.1586/eop.09.29 · Cited by 1
Effects of Benzo(e)Pyrene, a toxic component of cigarette smoke, on Müller Cells (MIO-M1) in vitro
Gupta, N., Mansoor, S., Sapkal, A. U., Limb, G. A., Kuppermann, B., & Kenney, M. C. (2016) · New Frontiers in Ophthalmology · doi:10.15761/nfo.1000124 · Cited by 1
TREM-2 expression and regulation in inflammation and ischaemia
Bradley, J. (2014) · UEA Digital Repository (University of East Anglia)
The Role of Neuroinflammation in Regulating the Age-Related Decline in Neurogenesis
Bachstetter, A. D. (2009) · Digital Commons - University of South Florida (University of South Florida)
Therole of the inflammatory response in central nervous system injury and regeneration
Moussa, C. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9780511995583.030
Oxygen sensing mechanisms in retinal vascular development and disease
Lange, C. (2012) · UCL Discovery (University College London)
Cardona, A. E., & Ransohoff, R. M. (2010) · AfCS-Nature Molecule Pages · doi:10.1038/mp.a000955.01
WITHDRAWN: Ultrastructure of the human retina in aging and various pathological states
Nag, T. C., & Wadhwa, S. (2011) · Micron · doi:10.1016/j.micron.2011.12.002
Donnelly, D. J., & AmyTovar, C. (2011)
Challenges for Atrophic Age-Related Macular Degeneration Research
Qin, S. (2012) · Anatomy & Physiology · doi:10.4172/2161-0940.1000e119
Characterisation of novel therapies to mitigate inflammation in retinal degenerations
Saxena, K. (2015) · ANU Open Research (Australian National University) · doi:10.25911/5d78d614a6941
Animal Models of Age-Related Macular Degeneration: Subretinal Inflammation
Sennlaub, F. (2015) · Essentials in ophthalmology/Essentials ophthalmology · doi:10.1007/978-3-319-19434-9_4
Self-citationThe role of the CXCL12/CXCR4 axis in monocyte tissue compartmentalisation and homeostasis
Evrard, M. (2017) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/69592
Noailles, A. (2016) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Chinnery, H. R. (2008) · UWA Profiles and Research Repository (University of Western Australia)
Immunologie oculaire: bases physiopathologiques
Terrada, C., Sennlaub, F., & de Kozak, Y. (2017) · doi:10.1016/b978-2-294-74468-6.00002-2
Self-citationWu, J., Gao, G., Shi, F., Zhang, C., Xie, H., Yang, Q., Liu, D., Qu, S., Qin, H., Xu, G., et al. (2020) · doi:10.21203/rs.3.rs-27465/v1
“Amyloid β (Aβ), a peptide of 39 to 43 amino acids and the major constituent of drusen in retina and senile plaque in brain, is thought to initiate microglia activation [5, 6] and neurotoxic events in patients with AMD and Alzheimer’s Disease (AD)[7–10].”
BackgroundA New Experimental Model of Krypton Laser-Induced Choroidal Neovascularization in Tree ShrewPreprint
Xiao-Chen, L. I. U., & Wu, M. (2022) · Research Square · doi:10.21203/rs.3.rs-1454150/v1
Wu, J., Gao, G., Shi, F., Zhang, C., Xie, H., Yang, Q., Liu, D., Qu, S., Qin, H., Liu, F., et al. (2020) · doi:10.21203/rs.3.rs-27165/v1
Tarallo, V., Trotta, S. M., Panico, S., D’Orsi, L., Mercadante, G., Cicatiello, V., & Falco, S. D. (2023) · Research Square · doi:10.21203/rs.3.rs-3777206/v1
Aberrant lipid accumulation and retinal pigmental epithelium dysfunction in PRCD-deficient micePreprint
Motipally, S. I., Kolson, D. R., Guan, T., & Kolandaivelu, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.08.584131
Roubeix, C., Nous, C., Augustin, S., Ronning, K. E., Mathis, T., Blond, F., Lagouge-Roussey, P., Crespo‐Garcia, S., Sullivan, P. M., Gautier, E. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25017793
Self-citationMa, W., Zhao, L., Xu, B., et al. (2024) · eLife · doi:10.7554/elife.90695.2.sa1
Ma, W., Zhao, L., Xu, B., et al. (2024) · eLife · doi:10.7554/elife.90695.2.sa2
Ma, W., Zhao, L., Xu, B., Fariss, R. N., Redmond, T. M., Zou, J., Wong, W. T., & Li, W. (2024) · eLife · doi:10.7554/elife.90695.2.sa0
Bubis, E., Sher, I., Ketter-Katz, H., Derzane, E., Sennlaub, F., & Rotenstreich, Y. (2025) · Graefe s Archive for Clinical and Experimental Ophthalmology · doi:10.1007/s00417-025-06768-y
“Studies in animal models suggest that activation of MPs plays a role in retinal neurodegeneration in age-related macular degeneration (AMD [7, 8]), RP [9–13], and LCA [14, 15].”
Self-citationZhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650152
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650158
Du, X., Peñalva, R. G., Little, K., Kissenpfennig, A., Chen, M., & Xu, H. (2021) · Figshare · doi:10.6084/m9.figshare.14059735
Du, X., Peñalva, R. G., Little, K., Kissenpfennig, A., Chen, M., & Xu, H. (2021) · Figshare · doi:10.6084/m9.figshare.14059744
Du, X., Peñalva, R. G., Little, K., Kissenpfennig, A., Chen, M., & Xu, H. (2021) · Figshare · doi:10.6084/m9.figshare.14059741
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629396
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629387
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695986
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695980
Du, X., Peñalva, R. G., Little, K., Kissenpfennig, A., Chen, M., & Xu, H. (2021) · Figshare · doi:10.6084/m9.figshare.14059747
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650161
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629378
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695974
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650167
Alfaar, A. S., Stürzbecher, L., Diedrichs‐Möhring, M., Lam, M., Roubeix, C., Ritter, J., Schumann, K., Annamalai, B., Pompös, I.-M., Rohrer, B., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21384335
Self-citationParker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695983
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629393
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650179
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695971
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629384
Du, X., Peñalva, R. G., Little, K., Kissenpfennig, A., Chen, M., & Xu, H. (2021) · Figshare · doi:10.6084/m9.figshare.14059738
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19695977
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650173
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629381
Droho, S., Voigt, A. P., Sterling, J. K., Rajesh, A., Chan, K. S., Cuda, C. M., Perlman, H., & Lavine, J. A. (2024) · Figshare · doi:10.6084/m9.figshare.26629390
Zhang, P., Schlecht, A., Wolf, J., Boneva, S., Laich, Y., Koch, J., Ludwig, F., Boeck, M., Thien, A., Härdtner, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16650185
Dabouz, R., Cheng, C. W. H., Abram, P., Omri, S., Cagnone, G., Sawmy, K. V., Joyal, J., Desjarlais, M., Olson, D. M., Weil, A. G., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13297102
Self-citationPuntambekar, S. S., Moutinho, M., Lin, P. B., Jadhav, V., Tumbleson, D. M., Balaji, A., Benito, M. A., Xu, G., Oblak, A. L., Lasagna‐Reeves, C. A., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20175603
Roubeix, C., Nous, C., Augustin, S., Ronning, K. E., Mathis, T., Blond, F., Lagouge-Roussey, P., Crespo‐Garcia, S., Sullivan, P. M., Gautier, E. L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25017933
Self-citation
Metadata
- Authors
- Combadière, C., Feumi, C., Raoul, W., Keller, N., Rodéro, M., Pézard, A., Lavalette, S., Houssier, M., Jonet, L., Picard, E., Debré, P., Sirinyan, M., Deterre, P., Ferroukhi, T., Cohen, S.-Y., Chauvaud, D., Jeanny, J.-C., Chemtob, S., Behar-Cohen, F., & Sennlaub, F.
- Affiliations
- Inserm (FR)
- Centre de Recherche des Cordeliers (FR)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- Assistance Publique – Hôpitaux de Paris (FR)
- ORCID
- Venue
- Journal of Clinical Investigation
- Published
- 2007-10-01
- Volume
- 117
- Issue
- 10
- Pages
- 2920-2928
- ISSN
- 0021-9738 (ISSN-L)
- PMC
- PMC1994614
- OpenAlex
- W2122311980
- Cited by
- 618
- References
- 48
- Citations by year
- 2026: 14 · 2025: 28 · 2024: 37 · 2023: 28 · 2022: 39 · 2021: 45 · 2020: 38 · 2019: 25 · 2018: 39 · 2017: 22 · 2016: 32 · 2015: 45 · 2014: 29 · 2013: 45 · 2012: 36
- FWCI
- 27.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Investigation (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- HAL (submittedVersion, other-oa)
- HAL (submittedVersion, cc-by-nc-sa)
- Funders
- Agence Nationale de la Recherche
- Institut National de la Santé et de la Recherche Médicale
- 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
- age-related macular degeneration, retinal microglia, CX3CR1, choroidal neovascularization, drusen, microglial migration, retinal degeneration, microglial senescence, dark rearing
- MeSH terms
- CX3C Chemokine Receptor 1, Alleles, Animals, Cell Movement, Homozygote, Humans, Macular Degeneration, Male, Polymorphism, Genetic, Retina, Retinal Drusen, Microglia, Mice, Knockout, Receptors, Chemokine, Choroidal Neovascularization, Mice
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
