The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations
Open accessAbstract
Parietal cortex RNA-sequencing (RNA-seq) data were generated from individuals with and without Alzheimer disease (AD; n control = 13; n AD = 83) from the Knight Alzheimer Disease Research Center (Knight ADRC). Using this and an independent (Mount Sinai Brain Bank (MSBB)) AD RNA-seq dataset, cortical circular RNA (circRNA) expression was quantified in the context of AD. Significant associations were identified between circRNA expression and AD diagnosis, clinical dementia severity and neuropathological severity. It was demonstrated that most circRNA-AD associations are independent of changes in cognate linear messenger RNA expression or estimated brain cell-type proportions. Evidence was provided for circRNA expression changes occurring early in presymptomatic AD and in autosomal dominant AD. It was also observed that AD-associated circRNAs co-expressed with known AD genes. Finally, potential microRNA-binding sites were identified in AD-associated circRNAs for miRNAs predicted to target AD genes. Together, these results highlight the importance of analyzing non-linear RNAs and support future studies exploring the potential roles of circRNAs in AD pathogenesis.
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“A very recent study has established an association between circRNA expression and AD [620].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [620]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · cited 14×
“Results for circRNA correlation with mean number of plaques were consistent with the other traits in all MSBB cortical regions (Supplementary Tables 36–39, Supplementary Figure 7 and Supplementary Results).”
InfluentialSTAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · cited 12×
“Results for circRNA correlation with mean number of plaques were consistent with the other traits in all MSBB cortical regions (Supplementary Tables 36–39, Supplementary Figure 7 and Supplementary Results).”
InfluentialWGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709 · cited 13×
“Results for circRNA correlation with mean number of plaques were consistent with the other traits in all MSBB cortical regions (Supplementary Tables 36–39, Supplementary Figure 7 and Supplementary Results).”
InfluentialSelf-citationSalmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife · doi:10.7554/elife.05005 · Cited by 7,318
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Self-citation
Cited by
Sorted by citations
Items 301–346 of 346
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李, 壬. (2021) · Biophysics · doi:10.12677/biphy.2022.101001
Glavač, D., Mezzavilla, M., Dolinar, A., Koritnik, B., & Ravnik‐Glavač, M. (2021) · Research Square · doi:10.21203/rs.3.rs-234061/v1
“They have been already associated with numerous diseases of the nervous system such are Parkinson’s disease [10,11], Alzheimer’s disease [12,13], glioblastoma [14,15], multiple sclerosis [16], and epilepsy [17].”
BackgroundZimmerman, A. J., Weick, J. P., Papageorgiou, G., Mellios, N., & Brigman, J. L. (2022) · Research Square · doi:10.21203/rs.3.rs-1862282/v1
Identificación de circRNAs como biomarcadores epigenéticos candidatos en la enfermedad de Alzheimer
Urdánoz‐Casado, A. (2022) · Academica-e (Universidad Pública de Navarra) · doi:10.48035/tesis/2454/43427
Brain cross-omics integration in Alzheimer’s diseasePreprint
Eteleeb, A. M., Novotny, B. C., Soriano‐Tárraga, C., Sohn, C., Dhungel, E., Brase, L., Nallapu, A., Buss, J., Farias, F., Bergmann, K., et al. (2022) · medRxiv · doi:10.1101/2022.12.10.22283295
Self-citationThe CircRNAs for Diagnostic, Prognostic, and Therapy in Alzheimer’s Disease
Cabrera-Reyes, E. A., Jiménez-Acosta, M. A., Padilla-Cristerna, M. L., & Meraz‐Ríos, M. A. (2022) · Advances in Bioscience and Biotechnology · doi:10.4236/abb.2022.1312035
Biswas, A., Chowdhury, N., & Bagchi, A. (2022) · Proceedings of the National Academy of Sciences India Section B Biological Sciences · doi:10.1007/s40011-022-01438-z
Prakash, O., & Khan, F. (2023) · medRxiv · doi:10.1101/2023.02.14.23285899
Prakash, O., & Khan, F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.28.530394
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Liu, Y., Zhou, M., Zheng, N., Xu, H., Chen, X., Duan, Z., Lin, T., Zeng, R., Chen, Q., & Li, M. (2023) · Research Square · doi:10.21203/rs.3.rs-2825777/v1
Biology of Circular RNAs and Methodological Approaches to Their Study
Ruckova, M., Tukmachi, D. A., & Slabý, O. (2023) · RNA technologies · doi:10.1007/978-3-031-36390-0_15
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Lu, G., Zhou, Y., Zhang, C., Zhang, Y., & Wu, X. (2024) · Research Square · doi:10.21203/rs.3.rs-3965925/v1
Wei, C., Zhu, M., Lu, N., Liu, J., Yang, Y., Zhang, Y., Shi, Y., Feng, Z., Li, J., Qi, F., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270353
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曹, 晶. (2024) · Medical Diagnosis · doi:10.12677/md.2024.143049
Cakmak, R. K., Beşli, N., JOHNSON, B. S., Ercin, N., POLAT, H. S., & Kılıç, Ü. (2024) · Bezmialem Science · doi:10.14235/bas.galenos.2024.16769
“Some differentially expressed circRNAs have been monitored to ease AD-like pathological conditions in cellular and animal models of AD, suggesting that circRNAs are presumably related to regulating the neuropathophysiology of AD (15).”
Noncoding RNAs and RNA Epigenetics in Brain Aging
Sugai-Munson, A., Simon, C., Graves, O. K., McKay, T. B., & Li, H. (2025) · RNA technologies · doi:10.1007/978-3-031-91072-2_10
Henderson, B. W., Roberts, B. S., Kolodziejczak, S., Cochran, M., & Myers, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.27.662023 · Cited by 1
Challenges and Future Prospectives in Circular RNA Investigation
Hiam, D., Gedye, M. J., Wadley, G. D., & Bernardo, B. C. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-981-96-9428-0_27
Amjadi‐Moheb, F., Gobhidharan, S., Mohan, A., Sachdev, P. S., Thalamuthu, A., & Mather, K. A. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.10.001
Roles of circular RNAs targeted to synapses: Narrative review of potential mechanisms and biomarkers
Li, X., Li, Z., Ping, P., Zhang, J., Wang, H., Ding, Z., & Wang, J. (2025) · NeuroMarkers. · doi:10.1016/j.neumar.2025.100145
Self-citationReyes-Long, S., Roldán-Valadéz, E., Cortes-Altamirano, J. L., Clavijo‐Cornejo, D., & Alfaro-Rodríguez, A. (2025) · Cureus · doi:10.7759/cureus.98237
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Cruchaga, C., Phillips, B., Sanford, J., Liu, M., Johnson, M. J., Gong, K., Bergmann, K., Lowery, J., Flynn, A., Brock, W., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-8023085/v1
Self-citationWei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270326
Bigley, T. M., Xiong, M., Ali, M., Chen, Y., Wang, C., Serrano, J. R., Eteleeb, A. M., Harari, O., Yang, L., Patel, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18482530
Self-citationWei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270323
Wei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270341
Additional file 3 of CircPrime: a web-based platform for design of specific circular RNA primers
Sharko, F., Rbbani, G., Siriyappagouder, P., Raeymaekers, J. A. M., Galindo‐Villegas, J., Nedoluzhko, A., & Fernandes, J. M. O. (2023) · Figshare · doi:10.6084/m9.figshare.22978360
Wei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270311
Wang, X., Xie, J., Tan, L., Lu, Y., Shen, N., Li, J., Hu, H., Li, H., Li, X., & Cheng, L. (2023) · Figshare · doi:10.6084/m9.figshare.24647128
Wei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270332
Bigley, T. M., Xiong, M., Ali, M., Chen, Y., Wang, C., Serrano, J. R., Eteleeb, A. M., Harari, O., Yang, L., Patel, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18482533
Self-citationWei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270347
Ren, Z., Chu, C., Pang, Y., Cai, H., & Jia, L. (2022) · Figshare · doi:10.6084/m9.figshare.20517141
Bigley, T. M., Xiong, M., Ali, M., Chen, Y., Wang, C., Serrano, J. R., Eteleeb, A. M., Harari, O., Yang, L., Patel, S. J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.18482527
Self-citationWei, C.-Y., Zhu, M.-X., 陆南杭, Liu, J.-Q., Yang, Y.-W., Zhang, Y., Shi, Y.-D., Feng, Z.-H., Li, J.-X., Qi, F.-Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12270362
Chen, S., Li, M., Li, S., Sun, Y. H., & Lihuai, W. A. N. G. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1737600
Zeng, H.-X., Li, G., Zeng, Q.-G., Zhang, Q., Liu, L., & Zeng, X.-W. (2026) · Environment & Health · doi:10.1021/envhealth.5c00701
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Filippenkov, I. B., Tsareva, E. V., Mozgovoy, I. V., Sudarkina, O. Y., Dergunova, L. V., & Limborska, S. A. (2026) · Biochemistry (Moscow) · doi:10.1134/s0006297925603594
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Zhou, T., Lyu, C., Hou, X., Zhao, S., Liao, J., Yu, W., Zhang, Q., Yan, J., Li, J., & Ni, T. (2026) · The FASEB Journal · doi:10.1096/fj.202504865r
“Accumulating evidence suggests that epigenetic regulation is essential for pregnancy maintenance [6].”
Unknotting the Role of circRNAs and IGF2BP3 in Alzheimer’s Disease
Firdous, S. M., Jayathilaka, S. N. S., Marick, S., & Porel, P. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01724-8
“…data from multiple regions of the brain, including the parietal cortex, hippocampus, FTLD, posterior cingulate, entorhinal cortex, para-hippocampal gyrus, and others in aging and age-matched healthy indi - viduals with and without AD was used (Dube et al. 2019 ; Cervera-Carles et al. 2020 ).”
Jajoo, A., Maya-Martínez, M., & Daskalakis, N. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.24.725548
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Cifello, J., Feng, R., Grenn, F. P., Carter, L., Liu, A., Sun, H. H., Li, R., Empawi, J. A., Greenfest‐Allen, E., Katanić, Ž., et al. (2026) · medRxiv · doi:10.64898/2026.05.21.26353713 · Cited by 1
Self-citationChen, K., Zhang, X. L., Sun, H., 徐玉荣, & Yang, C. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06084-4
“Aberrant circRNA expression has been implicated in the pathogenesis of various neurodegenerative diseases [10–12], including AD [2].”
InfluentialLoss of TDP-43 function drives cryptic circular RNAs in neurodegenerative diseasesPreprint
Zhu, C., Zhao, Z., Song, B., Chen, Y.-M., Xiao, Y., Zhang, Z., Ye, Y., Xu, N., Zhang, R., Huang, Y., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.17.752169
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Yüksel, M., & Schmidt, M. (2026) · Antioxidants · doi:10.3390/antiox15101321
Metadata
- Authors
- Dube, U., Del-Aguila, J. L., Li, Z., Budde, J. P., Jiang, S., Hsu, S., Ibanez, L., Fernandez, M. V., Farias, F., Norton, J., Gentsch, J., Wang, F., the Dominantly Inherited Alzheimer Network (DIAN), Allegri, R., Amtashar, F., Benzinger, T., Berman, S., Bodge, C., Brandon, S., Brooks, W., Buck, J., Buckles, V., Chea, S., Chrem, P., Chui, H., Cinco, J., Clifford, J., D’Mello, M., Donahue, T., Douglas, J., Edigo, N., Erekin-Taner, N., Fagan, A., Farlow, M., Farrar, A., Feldman, H., Flynn, G., Fox, N., Franklin, E., Fujii, H., Gant, C., Gardener, S., Ghetti, B., Goate, A., Goldman, J., Gordon, B., Gray, J., Gurney, J., Hassenstab, J., Hirohara, M., Holtzman, D., Hornbeck, R., DiBari, S. H., Ikeuchi, T., Ikonomovic, S., Jerome, G., Jucker, M., Kasuga, K., Kawarabayashi, T., Klunk, W., Koeppe, R., Kuder-Buletta, E., Laske, C., Levin, J., Marcus, D., Martins, R., Mason, N. S., Maue-Dreyfus, D., McDade, E., Montoya, L., Mori, H., Nagamatsu, A., Neimeyer, K., Noble, J., Norton, J., Perrin, R., Raichle, M., Ringman, J., Roh, J. H., Schofield, P., Shimada, H., Shiroto, T., Shoji, M., Sigurdson, W., Sohrabi, H., Sparks, P., Suzuki, K., Swisher, L., Taddei, K., Wang, J., Wang, P., Weiner, M., Wolfsberger, M., Xiong, C., Xu, X., Salloway, S., Masters, C. L., Lee, J.-H., Graff-Radford, N. R., Chhatwal, J. P., Bateman, R. J., Morris, J. C., Karch, C. M., Harari, O., & Cruchaga, C.
- Affiliations
- Washington University in St. Louis (US)
- Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (AR)
- University of Pittsburgh (US)
- Indiana University Bloomington (US)
- Mayo Clinic (US)
- University of Southern California (US)
- Edith Cowan University (AU)
- Columbia University (US)
- Hirosaki University (JP)
- German Center for Neurodegenerative Diseases (DE)
- University of Michigan (US)
- Osaka City University (JP)
- The University of Tokyo (JP)
- Asan Medical Center (KR)
- Brigham and Women's Hospital (US)
- University of California, San Francisco (US)
- The University of Melbourne (AU)
- University of Ulsan (KR)
- Harvard University (US)
- Corresponding author
- Cruchaga, Carlos
- ORCID
- Dube, Umber
- Li, Zeran
- Budde, John P
- Jiang, Shan
- Hsu, Simon
- Wang, Fengxian
- Allegri, Ricardo
- Benzinger, Tammie
- Berman, Sarah
- Brooks, William
- D’Mello, Mirelle
- Fagan, Anne
- Feldman, Howard
- Fox, Nick
- Franklin, Erin
- Fujii, Hisako
- Gardener, Samantha
- Ghetti, Bernardino
- Goate, Alison
- Goldman, Jill
- Gordon, Brian
- Gurney, Jenny
- Hassenstab, Jason
- Holtzman, David
- Hornbeck, Russ
- Ikeuchi, Takeshi
- Jucker, Mathias
- Kasuga, Kensaku
- Kawarabayashi, Takeshi
- Klunk, William
- Laske, Christoph
- Levin, Johannes
- Martins, Ralph
- McDade, Eric
- Mori, Hiroshi
- Noble, James
- Perrin, Richard
- Ringman, John
- Roh, Jee Hoon
- Schofield, Peter
- Shoji, Mikio
- Sohrabi, Hamid
- Suzuki, Kazushi
- Taddei, Kevin
- Wang, Jen
- Xiong, Chengjie
- Salloway, Stephen
- Masters, Colin L
- Lee, Jae-Hong
- Chhatwal, Jasmeer P
- Bateman, Randall J
- Morris, John C
- Karch, Celeste M
- Harari, Oscar
- Cruchaga, Carlos
- Venue
- Nature Neuroscience
- Published
- 2019-10-07
- Volume
- 22
- Issue
- 11
- Pages
- 1903-1912
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC6858549
- OpenAlex
- W2977553419
- Cited by
- 345
- References
- 63
- Citations by year
- 2026: 22 · 2025: 43 · 2024: 45 · 2023: 53 · 2022: 69 · 2021: 60 · 2020: 48 · 2019: 3
- FWCI
- 14.89
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Murdoch University Research Portal (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Edith Cowan University Research Online (Edith Cowan University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (RF1AG053303, R01AG058501, RF1AG058501)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Circular RNAs in diseases
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- circular RNA, Alzheimer's disease, parietal cortex, autosomal dominant Alzheimer's disease, microRNA binding sites, non-coding RNA, brain transcriptome
- MeSH terms
- RNA, Circular, Alzheimer Disease, Atlases as Topic, Humans, Parietal Lobe, RNA, Messenger, Severity of Illness Index, Case-Control Studies, Sequence Analysis, RNA, Gene Expression Profiling, MicroRNAs
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