The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Melanopsin retinal ganglion cell loss in Alzheimer disease
Open accessAbstract
Objective: Melanopsin retinal ganglion cells (mRGCs) are photoreceptors driving circadian photoentrainment, and circadian dysfunction characterizes Alzheimer disease (AD). We investigated mRGCs in AD, hypothesizing that they contribute to circadian dysfunction. Methods: We assessed retinal nerve fiber layer (RNFL) thickness by optical coherence tomography (OCT) in 21 mild‐moderate AD patients, and in a subgroup of 16 we evaluated rest–activity circadian rhythm by actigraphy. We studied postmortem mRGCs by immunohistochemistry in retinas, and axons in optic nerve cross‐sections of 14 neuropathologically confirmed AD patients. We coimmunostained for retinal amyloid β (Aβ) deposition and melanopsin to locate mRGCs. All AD cohorts were compared with age‐matched controls. Results: We demonstrated an age‐related optic neuropathy in AD by OCT, with a significant reduction of RNFL thickness (p = 0.038), more evident in the superior quadrant (p = 0.006). Axonal loss was confirmed in postmortem AD optic nerves. Abnormal circadian function characterized only a subgroup of AD patients. Sleep efficiency was significantly reduced in AD patients (p = 0.001). We also found a significant loss of mRGCs in postmortem AD retinal specimens (p = 0.003) across all ages and abnormal mRGC dendritic morphology and size (p = 0.003). In flat‐mounted AD retinas, Aβ accumulation was remarkably evident inside and around mRGCs. Interpretation: We show variable degrees of rest–activity circadian dysfunction in AD patients. We also demonstrate age‐related loss of optic nerve axons and specifically mRGC loss and pathology in postmortem AD retinal specimens, associated with Aβ deposition. These results all support the concept that mRGC degeneration is a contributor to circadian rhythm dysfunction in AD. ANN NEUROL 2016;79:90–109
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.
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · Brain and nerve · Cited by 21,012
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J. M., & Wouters, E. J. M. (2016) · Gerontology · doi:10.1159/000430949 · Cited by 19,690
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. (2015) · Gerontology · doi:10.1159/000362720 · Cited by 18,909
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Querfurth, H. W., & LaFerla, F. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0909142 · Cited by 4,569
Phototransduction by retinal ganglion cells that set the circadian clock
Berson, D. M., Dunn, F. A., & Takao, M. (2002) · Science · doi:10.1126/science.1067262 · Cited by 3,629
Cited by
Circadian rest-activity pattern changes in aging and preclinical Alzheimer disease
Musiek, E. S., Bhimasani, M., Zangrilli, M. A., Morris, J. C., Holtzman, D. M., & Ju, Y.-E. S. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4719 · Cited by 465
Hadoux, X., Hui, F., Lim, J. K. H., Masters, C. L., Pébay, A., Chevalier, S., Ha, J., Loi, S., Fowler, C. J., Rowe, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12242-1 · Cited by 304
Diagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers
Lee, J. C., Kim, S. J., Hong, S., & Kim, Y. (2019) · Experimental & Molecular Medicine · doi:10.1038/s12276-019-0250-2 · Cited by 253
Circadian rhythms in neurodegenerative disorders
Nassan, M., & Videnovic, A. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-021-00577-7 · Cited by 253
Advances in the development of new biomarkers for Alzheimer’s disease
Klyucherev, T. O., Olszewski, P., Shalimova, A. A., Chubarev, V. N., Tarasov, V. V., Attwood, M. M., Syvänen, S., & Schiöth, H. B. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00296-z · Cited by 241
Metadata
- Authors
- La Morgia, C., Ross‐Cisneros, F. N., Koronyo, Y., Hannibal, J., Gallassi, R., Cantalupo, G., Sambati, L., Pan, B. X., Tozer, K. R., Barboni, P., Provini, F., Avanzini, P., Carbonelli, M., Pelosi, A., Chui, H., Liguori, R., Baruzzi, A., Koronyo‐Hamaoui, M., Sadun, A. A., & Carelli, V.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2015-12-18
- Volume
- 79
- Issue
- 1
- Pages
- 90-109
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W1925629371
- Cited by
- 390
- References
- 78
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Melanopsin retinal ganglion cell loss in Alzheimer disease. https://app.cochat.ai/papers/10.1002/ana.24548
- The paper
- La Morgia, C., Ross‐Cisneros, F. N., Koronyo, Y., Hannibal, J., Gallassi, R., Cantalupo, G., Sambati, L., Pan, B. X., Tozer, K. R., Barboni, P., Provini, F., Avanzini, P., Carbonelli, M., Pelosi, A., Chui, H., Liguori, R., Baruzzi, A., Koronyo‐Hamaoui, M., Sadun, A. A., & Carelli, V. (2016). Melanopsin retinal ganglion cell loss in Alzheimer disease. Annals of Neurology. https://doi.org/10.1002/ana.24548
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.