The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Conserved brain myelination networks are altered in Alzheimer’s and other neurodegenerative diseases
Open accessAbstract
Introduction: Comparative transcriptome analyses in Alzheimer's disease (AD) and other neurodegenerative proteinopathies can uncover both shared and distinct disease pathways. Methods: We analyzed 940 brain transcriptomes including patients with AD, progressive supranuclear palsy (PSP; a primary tauopathy), and control subjects. Results: We identified transcriptional coexpression networks implicated in myelination, which were lower in PSP temporal cortex (TCX) compared with AD. Some of these associations were retained even after adjustments for brain cell population changes. These TCX myelination network structures were preserved in cerebellum but they were not differentially expressed in cerebellum between AD and PSP. Myelination networks were downregulated in both AD and PSP, when compared with control TCX samples. Discussion: Downregulation of myelination networks may underlie both PSP and AD pathophysiology, but may be more pronounced in PSP. These data also highlight conservation of transcriptional networks across brain regions and the influence of cell type changes on these networks.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Results from RNA sequencing (RNA-seq) of human postmortem brain tissue further reinforce the importance of microglial and inflammatory mechanisms in AD pathogenesis, among other pathways (Allen et al., 2018; Conway et al., 2018; McKenzie et al., 2017; Patrick et al., 2017; Wang et al., 2016, 2019; Zhang et al., 2013).”
From Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models (2020) · cites this paper as Allen et al., 2018
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“independent analyses of RNA-seq from the Mayo and MSSM cohorts previously identified AD-associated coexpression modules enriched for oligodendrocyte expression signatures (Allen et al., 2018; McKenzie et al., 2017), and these gene sets significantly overlapped with consensus cluster D (Figure 1C).”
From Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models (2020) · cites this paper as Allen et al., 2018
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
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
WGCNA: 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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Self-citationZhang, Y., Sloan, S. A., Clarke, L. E., Caneda, C., Plaza, C. A., Blumenthal, P. D., Vogel, H., Steinberg, G. K., Edwards, M. S. B., Li, G., et al. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.013 · Cited by 2,295
Tau in physiology and pathology
Wang, Y., & Mandelkow, E. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.1 · Cited by 2,251
Immune attack: the role of inflammation in Alzheimer disease
Heppner, F. L., Ransohoff, R. M., & Becher, B. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3880 · Cited by 2,134
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–144 of 144
Neurodegenerative disorders: From clinicopathology convergence to systems biology divergence
Fasano, M., & Alberio, T. (2023) · Handbook of clinical neurology · doi:10.1016/b978-0-323-85538-9.00007-9 · Cited by 6
Smoking Impacts Alzheimer’s Disease Progression Through Oral Microbiota Modulation
Dai, X., Liang, R., Dai, M., Li, X., & Zhao, W. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04241-1 · Cited by 6
Biofluid Markers of Equine Neurological Disorders Reviewed From Human Perspectives
Mayaki, A. M., Razak, I. S. A., Adzahan, N. M., Mazlina, M., & Abdullah, R. (2019) · Journal of Equine Veterinary Science · doi:10.1016/j.jevs.2019.102907 · Cited by 4
Nackenoff, A. G., Hohman, T. J., Neuner, S. M., Akers, C. S., Weitzel, N. C., Shostak, A., Ferguson, S. M., Bennett, D. A., Schneider, J. A., Jefferson, A. L., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/746222 · Cited by 4
Fodder, K., Smith, H. M. G., Yaman, Ü., Piras, I. S., Murthy, M. N., Hardy, J., Lashley, T., de Silva, R., Salih, D. A. M., & Bettencourt, C. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03686-1 · Cited by 4
Rataj-Baniowska, M., Mumford, P., Prestia, F., Stephan, P., Beament, M., Birling, M., Lanzillotta, C., Ciafardini, L., Barone, E., Lau, G., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71498 · Cited by 3
Moseholm, K. F., Meineche, J. T., & Jensen, M. K. (2024) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000968 · Cited by 3
Volpato, V. (2021) · Biochemical Society Transactions · doi:10.1042/bst20210128 · Cited by 3
Crist, A. M., Hinkle, K. M., Wang, X., Moloney, C. M., Matchett, B. J., Labuzan, S. A., Frankenhauser, I., Azu, N. O., Liesinger, A. M., Lesser, E. R., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.18.423469 · Cited by 3
Self-citationGarcía‐González, P., Lara, H. R., Compta, Y., Fernandez, M., van der Lee, S. J., de Rojas, I., Saiz-Aúz, L., Painous, C., Camara, A., Muñoz, E., et al. (2024) · medRxiv · doi:10.1101/2024.06.21.24309279 · Cited by 3
Wang, F., Wang, J., Chen, T., Wang, S., Meng, X., Shen, Y., & Xu, X. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04826-4 · Cited by 3
Profiling the impact of different tau species on glial cell biology
Gomez, I. A., Yan, Y., Lilley, M. T., Chen, Y., Daughrity, L. M., Arnas, A. M., Shi, J., Kachergus, J. M., Thompson, E. A., Jansen‐West, K. R., et al. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1622138 · Cited by 2
Xu, X., Li, J., Wang, F., Xue, K., He, J., Meng, X., & Shen, Y. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00184 · Cited by 2
Rogue gene networks gone awry in Alzheimer's disease
Miyoshi, E., & Swarup, V. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.313032 · Cited by 2
Self-citationAn augmented GSNMF model for complete deconvolution of bulk RNA-seq data
Li, S., Su, X., Wang, X., Ertekin‐Taner, N., & Chen, D. (2025) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2025036 · Cited by 2
Self-citationDeconstructing the epigenomic architecture of human neurodegeneration
Jager, P. L. D. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105331 · Cited by 2
Wang, X., Allen, M., Reddy, J. S., Carrasquillo, M. M., Asmann, Y. W., Funk, C. C., Nguyen, T., Malphrus, K. G., Younkin, S. G., Dickson, D. W., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.18.426999 · Cited by 2
Self-citationReddy, J. S., Wang, X., Allen, M., Carrasquillo, M. M., Biernacka, J. M., Jenkins, G. D., Coombes, B. J., Belbin, O., Golde, T. E., Ertekin‐Taner, N., et al. (2022) · medRxiv · doi:10.1101/2022.07.12.22277557 · Cited by 2
Self-citationIdentification of novel Alzheimer’s disease genes co-expressed with TREM2Preprint
Reddy, J. S., Allen, M., Wang, X., Biernacka, J. M., Coombes, B. J., Jenkins, G. D., Sinnwell, J. P., Carrasquillo, M. M., Pottier, C. P., Ren, Y., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.13.381640 · Cited by 1
Self-citationPatel, T., Carnwath, T., Wang, X., Allen, M., Lincoln, S., Lewis‐Tuffin, L. J., Quicksall, Z., Lin, S., Tutor‐New, F. Q., Ho, C. C. G., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-523348/v1 · Cited by 1
Self-citationReddy, J. S., Wang, X., Allen, M., Carrasquillo, M. M., Biernacka, J. M., Jenkins, G. D., Coombes, B. J., Belbin, O., Golde, T. E., Ertekin‐Taner, N., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1885551/v1 · Cited by 1
Self-citationMartínez, P., Patel, H., You, Y., Lopes, D., Amaro, A., Jury, N., Min, Y., Redding‐Ochoa, J., Dutta, S., Rochet, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.17.660179 · Cited by 2
Self-citationPredicting emergent phenotypes from single cell populations using CELLECTIONPreprint
Hu, H., Sanghi, S., & Quon, G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.02.673886 · Cited by 1
Jadhav, V. (2021) · IUScholarWorks (Indiana University) · doi:10.7912/c2/2086
New alkylating agents: butyrophenone derivatives.
Galatulas, I., Andreani, A., Rambaldi, M., Bonazzi, D., & Bossa, R. (1986) · PubMed
Patel, T., Carnwath, T., Wang, X., Allen, M., Lincoln, S., Lewis‐Tuffin, L. J., Quicksall, Z., Lin, S., Tutor‐New, F. Q., Ho, C. C. G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.13.444000
Self-citationPredictive Network Analysis Identifies JMJD6 and Other Novel Key Drivers in Alzheimer’s DiseasePreprint
Merchant, J. P., Zhu, K., Henrion, M., Zaidi, S. A. J., Branden, L., Moein, S., Alamprese, M., Pearse, R., Bennett, D. A., Ertekin-Taner, N., et al. (2022) · bioRxiv · doi:10.1101/2022.10.19.512949 · Cited by 1
Self-citationDementia risk variants — hunting needles in a haystack
Oatman, S. R., & Ertekin‐Taner, N. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00739-1
Self-citationSchweickart, A., Batra, R., Huynh, K., Blach, C., Kueider‐Paisley, A., Reddy, J. S., Klein, G., Bennett, D. A., Meikle, P. J., Zhang, B., et al. (2025) · medRxiv · doi:10.1101/2025.11.04.25339489
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622301
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622304
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622307
Self-citationAdditional file 1 of Integrated analysis of the aging brain transcriptome and proteome in tauopathy
Mangleburg, C. G., Wu, T., Yalamanchili, H. K., Guo, C., Hsieh, Y.-C., Duong, D. M., Dammer, E. B., Jager, P. L. D., Seyfried, N. T., Liu, Z., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13024037
Self-citationReddy, J. S., Allen, M., Ho, C. C. G., Oatman, S. R., İş, Ö., Quicksall, Z., Wang, X., Jin, J., Patel, T. A., Carnwath, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14643245
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622310
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622298
Self-citationWang, N., Wang, M., Jeevaratnam, S., Rosenberg, C. L., Ikezu, T. C., Shue, F., Doss, S. V., Alnobani, A., Martens, Y. A., Wren, M. C., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21622295
Self-citationSilva, J. A. C., Gertig, M., Centeno, T. P., Burkhardt, S., Schütz, A., Sananbenesi, F., & Fischer, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.08.704661
Li, K. M., Balzer, A., Doering, T. M., Hiskens, M. I., du Preez, R., & Fenning, A. S. (2026) · Journal of Neuroscience Research · doi:10.1002/jnr.70105
The Use of Localized Proteomics to Understand the Pathogenesis of Alzheimer's Disease
Pires, G. (2021) · theses.fr (ABES) · doi:10.70675/45826fd6zd2c8z4b3dz91e0za5080544cb17
Nguyen, L., & Zhan, H. (2026) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi69079.2026.00160
Schweickart, A., Batra, R., Huynh, K., Blach, C., Kueider‐Paisley, A., Reddy, J. S., Bennett, D. A., Meikle, P. J., Zhang, B., Jager, P. L. D., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71690
Self-citationTau A152T risk variant drives distinct cell type transcriptional signatures in AD and PSP
Lilley, M. T., Ren, Y., Disha, S., Sanborn, E. C., Marks, J. D., Chen, Y., Yan, Y., Deture, M. A., Rawlinson, B. D., Dickson, D. W., et al. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03110-6
Self-citation
Metadata
- Authors
- Allen, M., Wang, X., Burgess, J. D., Watzlawik, J., Serie, D. J., Younkin, C. S., Nguyen, T., Malphrus, K. G., Lincoln, S., Carrasquillo, M. M., Ho, C., Chakrabarty, P., Strickland, S., Murray, M. E., Swarup, V., Geschwind, D. H., Seyfried, N. T., Dammer, E. B., Lah, J. J., Levey, A. I., Golde, T. E., Funk, C., Li, H., Price, N. D., Petersen, R. C., Graff‐Radford, N. R., Younkin, S. G., Dickson, D. W., Crook, J. R., Asmann, Y. W., & Ertekin‐Taner, N.
- Affiliations
- Mayo Clinic (US)
- University of Florida (US)
- University of California, Los Angeles (US)
- Emory University (US)
- Institute for Systems Biology (US)
- Corresponding author
- Ertekin‐Taner, Nilüfer
- ORCID
- Allen, Mariet
- Wang, Xue
- Burgess, Jeremy D.
- Watzlawik, Jens
- Nguyen, Thuy
- Carrasquillo, Minerva M.
- Ho, Charlotte
- Chakrabarty, Paramita
- Strickland, Samantha
- Murray, Melissa E.
- Swarup, Vivek
- Geschwind, Daniel H.
- Seyfried, Nicholas T.
- Dammer, Eric B.
- Lah, James J.
- Levey, Allan I.
- Golde, Todd E.
- Funk, Cory
- Price, Nathan D.
- Petersen, Ronald C.
- Graff‐Radford, Neill R.
- Younkin, Steven G.
- Dickson, Dennis W.
- Asmann, Yan W.
- Ertekin‐Taner, Nilüfer
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2017-10-26
- Volume
- 14
- Issue
- 3
- Pages
- 352-366
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC5866744
- OpenAlex
- W2765616742
- Cited by
- 143
- References
- 47
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 15 · 2023: 9 · 2022: 26 · 2021: 25 · 2020: 29 · 2019: 12 · 2018: 6
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Arizona Biomedical Research Commission (4001, 0011, 05-901, 1001)
- Arizona Department of Health Services (211002)
- National Institute on Aging (P30 AG19610, R01 AG032990, RF AG051504, U01 AG046139, P50 AG0016574, U01 AG006786)
- National Institute of Neurological Disorders and Stroke (U24 NS072026, R01 NS080820)
- Center for Individualized Medicine, Mayo Clinic
- Topics
- 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
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, progressive supranuclear palsy
- MeSH terms
- Alzheimer Disease, Brain, Female, Gene Expression Regulation, Humans, Male, Myelin Sheath, Neurons, Supranuclear Palsy, Progressive, Cohort Studies, Computational Biology, Genetic Predisposition to Disease, Transcriptome
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
