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Tipping the Scales: Peptide-Dependent Dysregulation of Neural Circuit Dynamics in Alzheimer’s Disease
Open accessAbstract
Identifying effective treatments for Alzheimer's disease (AD) has proven challenging and has instigated a shift in AD research focus toward the earliest disease-initiating cellular mechanisms. A key insight has been an increase in soluble Aβ oligomers in early AD that is causally linked to neuronal and circuit hyperexcitability. However, other accumulating AD-related peptides and proteins, including those derived from the same amyloid precursor protein, such as Aη or sAPPα, and autonomously, such as tau, exhibit surprising opposing effects on circuit dynamics. We propose that the effects of these on neuronal circuits have profound implications for our understanding of disease complexity and heterogeneity and for the development of personalized diagnostic and therapeutic strategies in AD. Here, we highlight important peptide-specific mechanisms of dynamic pathological disequilibrium of cellular and circuit activity in AD and discuss approaches in which these may be further understood, and theoretically and experimentally leveraged, to elucidate AD pathophysiology.
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“Together with our data showing an increased number of Aβ-producing oligodendrocytes in deeper cortical layers of the brains of individuals with AD, these results indicate that oligodendrocyte-derived Aβ plays a pivotal role in the early impairment of neuronal circuits in AD [52]”
From Selective suppression of oligodendrocyte-derived amyloid beta rescues neuronal dysfunction in Alzheimer’s disease (2024) · cites this paper as [52]
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
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
Walsh, D. M., Klyubin, I., Fadeeva, J. V., Cullen, W. K., Anwyl, R., Wolfe, M. S., Rowan, M. J., & Selkoe, D. J. (2002) · Nature · doi:10.1038/416535a · Cited by 4,291
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Grundke-Iqbal, I., Iqbal, K., Tung, Y. C., Quinlan, M., Wisniewski, H. M., & Binder, L. I. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.13.4913 · Cited by 3,676
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
The Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990
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Items 101–161 of 161
Dastgheib, Z. A., Lithgow, B., & Moussavi, Z. (2023) · Medicina · doi:10.3390/medicina59122091 · Cited by 4
Virtual neural network-guided optimization of non-invasive brain stimulation in Alzheimer’s disease
Luppi, J. J., Stam, C. J., Scheltens, P., & de Haan, W. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011164 · Cited by 4
Lee, R., Kim, G., Black, E. R., & Kim, S. (2026) · Advanced Science · doi:10.1002/advs.77858 · Cited by 4
Pan, J., Lei, B., Wang, S., Wang, B.-C., Liu, Y., & Shen, Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.05712 · Cited by 4
Neuron-like function of the nephron central commandPreprint
Gyarmati, G., Shroff, U. N., Riquier‐Brison, A., Stocker, S. D., Izuhara, A. K., Deepak, S. K., Chen, Y., Biemesderfer, D., James, A. W., Minichiello, L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.06.471478 · Cited by 4
de Farias, A. R. M., Pelletier, A., Iohan, L. D. C. C., Saha, O., Bonnefond, A., Amouyel, P., Delahaye, F., Lambert, J., & Costa, M. R. (2023) · Biomedicines · doi:10.3390/biomedicines11092564 · Cited by 4
Küry, S., Stanton, J. E., van Woerden, G. M., Bosc-Rosati, A., Hsieh, T.-C., Bray, L., Oloudé, M., Rosenfelt, C., Scott-Boyer, M. P., Most, V., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65556-8 · Cited by 3
“The most striking shared feature is however a decline in proteasomal activity, accompanied by the formation of aggresomes 32,57 , which is negatively correlated with lifespan in human multipotent cells 58 and in Drosophila 59 .”
A Python toolbox for neural circuit parameter inference
Valero, A. O., Rodríguez-González, V., Montobbio, N., Casal, M. A., Tlaie, A., Pelayo, F. J., Morillas, C. A., Poza, J., Gómez, C., & Martínez‐Cañada, P. (2025) · npj Systems Biology and Applications · doi:10.1038/s41540-025-00527-9 · Cited by 3
Zawar, I., Zhu, S., Quigg, M., Kapur, J., Manning, C. A., & Fletcher, P. T. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103830 · Cited by 3
The Interaction between Oligodendrocytes and Aβ in Alzheimer's Disease
Wang, W., Huang, X., Xu, Z., & Yu, C. (2025) · Current Alzheimer Research · doi:10.2174/0115672050401966250625171338 · Cited by 3
Fischer, L., Adams, J. N., Molloy, E. N., Tremblay‐Mercier, J., Remz, J., Binette, A. P., Rajah, M. N., Villeneuve, S., Maaß, A., Poirier, J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-21596-0 · Cited by 4
Chen, H., Cai, J., Wang, A., Su, W., Ji, C., & Zhao, L. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112309 · Cited by 4
The US9-Derived Protein gPTB9TM Modulates APP Processing Without Targeting Secretase Activities
Brandimarti, R., Irollo, E., & Meucci, O. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03153-2 · Cited by 4
Behaviorally meaningful functional networks mediate the effect of Alzheimer’s pathology on cognition
Ziontz, J., Harrison, T. M., Chen, X., Giorgio, J., Adams, J. N., Wang, Z., Jagust, W. J., & Initiative, A. D. N. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae134 · Cited by 3
Bruña, R., Maestú, F., López‐Sanz, D., Bagic, A. I., Cohen, A. D., Chang, Y., Cheng, Y., Doman, J. M., Huppert, T., Kim, T., et al. (2021) · Brain Connectivity · doi:10.1089/brain.2021.0059 · Cited by 3
Huang, D., Long, Y., Yang, Y., Wu, J., Yang, J., Huang, Y., Li, Y., Liu, P., Yuan, M., Song, X., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03583-1 · Cited by 2
Ye, Q., Gast, G., Holmes, T. C., & Xu, X. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107139 · Cited by 2
Delbono, O., Wang, Z., & Messi, M. L. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102999 · Cited by 3
Meftah, S., Wilson, M. A., Elliott, J., McLay, L., Dobrovolskis, V., Rosencrans, S., Taylor, L. W., Mugnaini, C., Mostallino, R., Durrant, C. S., et al. (2026) · eNeuro · doi:10.1523/eneuro.0099-23.2025 · Cited by 2
Park, Y., Chae, H., Yoon, E., Kim, Y., Han, J. W., Woo, S. J., Yoo, S., & Kim, K. W. (2026) · GeroScience · doi:10.1007/s11357-026-02235-6 · Cited by 2
Deep cortical layers are more vulnerable in Alzheimer’s disease
Kazmi, S. Z. H., & Wierenga, C. J. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.022 · Cited by 2
Barber, D., Hasselmo, M. E., & Rice, H. C. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70748 · Cited by 1
Costigan, A. G., Umla‐Runge, K., Evans, J., Raybould, R., Graham, K. S., & Lawrence, A. D. (2021) · Neuroimage Reports · doi:10.1016/j.ynirp.2021.100059 · Cited by 2
Altern und neurodegenerative Erkrankungen – warum gehen Nervenzellen verloren?
Klimaschewski, L. P. (2021) · Springer eBooks · doi:10.1007/978-3-662-63392-2_2 · Cited by 2
Homeostatic plasticity of axonal excitable sites in Alzheimer's disease
Quintela-López, T., & Lezmy, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1277251 · Cited by 2
A mechanistic model explains oscillatory slowing and neuronal hyperactivity in Alzheimer’s diseasePreprint
Alexandersen, C. G., de Haan, W., Bick, C., & Goriely, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.20.496731 · Cited by 2
Millar, P. R., Gordon, B. A., Luckett, P. H., Benzinger, T. L. S., Cruchaga, C., Fagan, A. M., Hassenstab, J. J., Perrin, R. J., Schindler, S. E., Allegri, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.25.505251 · Cited by 2
Sivanesan, S., Howell, M. D., Kaushik, V., Rajadas, J., Pari, S. S., & Goyal, P. (2024) · Current Alzheimer Research · doi:10.2174/0115672050324909240823104209 · Cited by 1
Peng, J., Tang, Q., Li, Y., Liu, L., Biswal, B., & Wang, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-90872-w · Cited by 1
Wei, X., Zhou, B., Li, J., 徐, 若., & Zhang, W. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1596537 · Cited by 1
Upadhyay, R., Kar, S., & Sevanan, M. (2026) · Frontiers in Chemical Biology · doi:10.3389/fchbi.2026.1836070 · Cited by 1
ELEMENTARY PATHOPHYSIOLOGY, TREATMENT, RISK FACTOR OF ALZHEIMER’S DISEASE
(2022) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets30873 · Cited by 2
Aging and Neurodegenerative Diseases: Why do Nerve Cells Die?
Klimaschewski, L. P. (2022) · Springer eBooks · doi:10.1007/978-3-662-66369-1_2 · Cited by 1
Ziontz, J., Adams, J. N., Harrison, T. M., Baker, S. L., & Jagust, W. J. (2021) · doi:10.21203/rs.3.rs-235539/v1 · Cited by 1
Michaud, F., Francavilla, R., Topolnik, D., Iloun, P., Tamboli, S., Calon, F., & Topolnik, L. (2024) · eLife · doi:10.7554/elife.95412.1 · Cited by 1
Lin, X., Chen, L., Baglietto‐Vargas, D., Ye, Q., LaFerla, F. M., Nitz, D. A., Holmes, T. C., & Xu, X. (2021) · Research Square · doi:10.21203/rs.3.rs-550358/v1
Saha, O., de Farias, A. R. M., Pelletier, A., Siedlecki‐Wullich, D., Gadaut, J., Landeira, B. S., Carrier, A., Vreulx, A.-C., Guyot, K., Bonnefond, A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.18.476601
Verma, P., Ranasinghe, K. G., Prasad, J., Cai, C., Xie, X., Lerner, H., Mizuiri, D., Miller, B. L., Rankin, K. P., Vossel, K. A., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2579392/v2
Verma, P., Ranasinghe, K. G., Prasad, J., Cai, C., Xie, X., Lerner, H., Mizuiri, D., Miller, B. L., Rankin, K., Vossel, K. A., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2579392/v1
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Nous, A., Vyver, M. V., & Smolders, I. J. (2023) · Epilepsie periodiek voor professionals · doi:10.54160/epilepsie.13851
Lobos, P., More, J., Bruna, B., & Antonello Penna, S. (2023) · Revista Hospital Clínico Universidad de Chile · doi:10.5354/2735-7996.2023.71414
Verma, P., Ranasinghe, K. G., Prasad, J., Cai, C., Xie, X., Lerner, H., Mizuiri, D., Miller, B. L., Rankin, K. P., Vossel, K. A., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2579392/v3
Michaud, F., Francavilla, R., Topolnik, D., Iloun, P., Tamboli, S., Calon, F., & Topolnik, L. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.12.575331
Michaud, F., Francavilla, R., Topolnik, D., Iloun, P., Tamboli, S., Calon, F., & Topolnik, L. (2024) · eLife · doi:10.7554/elife.95412.2
Michaud, F., Francavilla, R., Topolnik, D., Iloun, P., Tamboli, S., Calon, F., & Topolnik, L. (2024) · eLife · doi:10.7554/elife.95412.3
Cheng, 靳. J., & Lingjie, 孔. K. (2024) · Chinese Journal of Lasers · doi:10.3788/cjl240730
Revealing hidden knowledge in amnestic micePreprint
Santi, A., Moore, S., Fogelson, K. A., Wang, A. H., Lawlor, J., Amato, J., Burke, K., Lauer, A. M., & Kuchibhotla, K. V. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.09.632026
Sandron, A., Valero, A. O., García, J. M., Mancini, G., Pelayo, F. J., Morillas, C. A., Panzeri, S., & Martínez‐Cañada, P. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-3294-7_35
Predicting cognitive change using functional, structural, and neuropsychological predictors
Décarie-Labbé, L., Mellah, S., Dialahy, I. Z., Bellec, P., Belleville, S., Bocti, C., Calon, F., Chertkow, H. M., Collins, D. L., Cunnane, S. C., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf155
Connectome-guided personalization of optimal tDCS intervention selection in Alzheimer’s diseasePreprint
Luppi, J. J., Koomen, A. P., Stam, C. J., Scheltens, P., & de Haan, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.18.670847
Mensch, M., Dunot, J., Yishan, S. M., Harris, S., Blistein, A., Avdiu, A., Pousinha, P. A., Giudici, C., Busche, M. A., Jedlicka, P., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14936338
Self-citationVandenabeele, M., Veys, L., Lemmens, S., Hadoux, X., Gelders, G., Masin, L., Serneels, L., Theunis, J., Saito, T., Saido, T. C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13531796
Verma, P., Ranasinghe, K. G., Prasad, J., Cai, C., Xie, X., Lerner, H., Mizuiri, D., Miller, B., Rankin, K., Vossel, K. A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25440916
Functional network phenotypes of mild behavioural impairment: cognitive effects moderated by amyloid
Ng, K. P., Chong, J. S. X., Lussier, F. Z., Therriault, J., Rahmouni, N., Savard, M., Stevenson, J., Pascoal, T. A., Gauthier, S. G., Rosa‐Neto, P., et al. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-01980-2 · Cited by 1
Sánchez, M. C., Valero, A. O., García, J. M., Rodríguez-González, V., Montobbio, N., Pelayo, F. J., Morillas, C. A., Poza, J., Gomez, C., & Martínez‐Cañada, P. (2026) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-026-00817-8 · Cited by 1
Melgosa-Ecenarro, L., Radulescu, C. I., Doostdar, N., Airey, J., Chaloner, F. A., Zabouri, N., Pedretti, G., Osso, F., Perez, L. G., Pilch, K. S., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69866-3 · Cited by 4
Zhang, W., Zhang, Y., Sun, Z., Jin, S., Liu, B., Xu, F., Lu, Y., Yang, Y., Wu, M., Sun, W., et al. (2026) · Frontiers in Bioscience-Landmark · doi:10.31083/fbl48371
Luppi, J. J., Koomen, A. P., Stam, C. J., Scheltens, P., & de Haan, W. (2026) · eNeuro · doi:10.1523/eneuro.0407-25.2026
Hackshaw, K. V. (2026) · Pain Medicine · doi:10.1093/pm/pnag114
Gerasimov, E., Fedorov, E., Борисович, Б. И., & Pchitskaya, E. I. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1930851
Luo, Y., Chen, L., Yin, S., Zhang, L., Chen, B., & Wen, H. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261487603
Metadata
- Authors
- Harris, S. S., Wolf, F., De Strooper, B., & Busche, M. A.
- Affiliations
- Bernstein Center for Computational Neuroscience Göttingen (DE)
- UK Dementia Research Institute (GB)
- Corresponding author
- Busche, Marc Aurel
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 107
- Issue
- 3
- Pages
- 417-435
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W3037412948
- Cited by
- 161
- References
- 198
- Citations by year
- 2026: 15 · 2025: 25 · 2024: 35 · 2023: 26 · 2022: 27 · 2021: 28 · 2020: 5
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Lirias (submittedVersion)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, other-oa)
- Funders
- Bernstein Center for Computational Neuroscience Tübingen (01GQ1005B)
- Medical Research Council (MR/S017003/1)
- Deutsche Forschungsgemeinschaft (CRC889, CRC1286)
- UK Research and Innovation
- VWR Foundation
- UK Dementia Research Institute
- Max-Planck-Gesellschaft
- Alzheimer’s Research UK
- Alzheimer's Society
- Global Innovation Fund
- German-Israeli Foundation for Scientific Research and Development (906-17.1/2006)
- BrightFocus Foundation (A2019112S)
- Volkswagen Foundation (ZN2632)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, neural circuit dynamics, amyloid-beta oligomers, amyloid precursor protein, neuropeptides, soluble APP alpha, tau protein, neuronal hyperexcitability, disease heterogeneity, personalized treatment
- MeSH terms
- Axon Initial Segment, Alzheimer Disease, Animals, Astrocytes, Brain, Humans, Neural Pathways, Neurons, Peptide Fragments, Seizures, Synapses, Amyloid beta-Peptides, Amyloid beta-Protein Precursor, tau Proteins, Receptors, Glutamate, Microglia, Amyloid Precursor Protein Secretases, NAV1.1 Voltage-Gated Sodium Channel
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