The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A 3D human triculture system modeling neurodegeneration and neuroinflammation in Alzheimer’s disease
Open accessAbstract
Alzheimer's disease (AD) is characterized by beta-amyloid accumulation, phosphorylated tau formation, hyperactivation of glial cells, and neuronal loss. The mechanisms of AD pathogenesis, however, remain poorly understood, partially due to the lack of relevant models that can comprehensively recapitulate multistage intercellular interactions in human AD brains. Here we present a new three-dimensional (3D) human AD triculture model using neurons, astrocytes, and microglia in a 3D microfluidic platform. Our model provided key representative AD features: beta-amyloid aggregation, phosphorylated tau accumulation, and neuroinflammatory activity. In particular, the model mirrored microglial recruitment, neurotoxic activities such as axonal cleavage, and NO release damaging AD neurons and astrocytes. Our model will serve to facilitate the development of more precise human brain models for basic mechanistic studies in neural-glial interactions and drug discovery.
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
“Improved models of AD are underway. These include the use of primates [276], brain organoids [249] and further transgenic mouse lines.”
From Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function (2022) · cites this paper as [249]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This tri-culture system, consisting of human stem cell-derived neurons, astrocytes and microglia cultured within 3D Matrigel, was used to study the migration and phagocytosis of microglia as well as microglia-induced neurite degeneration and cell death in an AD brain-like environment.”
From Acoustofluidic assembly of 3D neurospheroids to model Alzheimer's disease (2020) · cites this paper as [23]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Several studies have demonstrated that astrocytes are capable of stimulating microglia phagocytosis by secretion of cytokines such as IL33 and the complement protein C3 [19, 34].”
From Crosstalk between astrocytes and microglia results in increased degradation of α-synuclein and amyloid-β aggregates (2021) · cites this paper as [34]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“The model showed Aβ aggregation, p-tau accumulation, and secretion of inflammatory cytokines can be used to study the pathogenesis of AD.”
From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [140]
The cited source says what the claim attributes to it.
In the citing paper
“Other than the neurotoxicity of Aβ aggregates, the AD brain contains more complex pathology, which is highly related to neuroinflammation.23, 43”
From Acoustofluidic assembly of 3D neurospheroids to model Alzheimer's disease (2020) · cites this paper as [23]
The cited source says what the claim attributes to it.
In the citing paper
“Recently, by integrating the microfluidics and 3D Matrigel matrix, a tri-culture model was established to recapitulate the key features of AD neuroinflammatory processes.23”
From Acoustofluidic assembly of 3D neurospheroids to model Alzheimer's disease (2020) · cites this paper as [23]
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
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343
TREM2 Variants in Alzheimer's Disease
Guerreiro, R., Wojtas, A., Bras, J., Carrasquillo, M., Rogaeva, E., Majounie, E., Cruchaga, C., Sassi, C., Kauwe, J. S. K., Younkin, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211851 · Cited by 3,020
NLRP3 is activated in Alzheimer’s disease and contributes to pathology in APP/PS1 mice
Heneka, M. T., Kummer, M. P., Stutz, A., Delekate, A., Schwartz, S., Vieira-Saecker, A., Griep, A., Axt, D., Remus, A., Tzeng, T.-C., et al. (2013) · Nature · doi:10.1038/nature11729 · Cited by 2,898
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543
Twenty years of the Alzheimer's disease amyloid hypothesis: a genetic perspective
Tanzi, R. E., & Bertram, L. (2005) · Cell · doi:10.1016/j.cell.2005.02.008 · Cited by 1,849
Self-citationThe P2Y12 receptor regulates microglial activation by extracellular nucleotides
Haynes, S. E., Hollopeter, G., Yang, G., Kurpius, D., Dailey, M. E., Gan, W.-B., & Julius, D. (2006) · Nature Neuroscience · doi:10.1038/nn1805 · Cited by 1,542
Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells
Israel, M. A., Yuan, S. H., Bardy, C., Reyna, S. M., Mu, Y., Herrera, C., Hefferan, M. P., Van Gorp, S., Nazor, K. L., Boscolo, F. S., et al. (2012) · Nature · doi:10.1038/nature10821 · Cited by 1,253
A three-dimensional human neural cell culture model of Alzheimer’s disease
Choi, S. H., Kim, Y. H., Hebisch, M., Sliwinski, C., Lee, S., D’Avanzo, C., Chen, H., Hooli, B., Asselin, C., Muffat, J., et al. (2014) · Nature · doi:10.1038/nature13800 · Cited by 1,195
Self-citationAlzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta
Griciuc, A., Serrano-Pozo, A., Parrado, A. R., Lesinski, A. N., Asselin, C. N., Mullin, K., Hooli, B., Choi, S. H., Hyman, B. T., & Tanzi, R. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.014 · Cited by 1,004
Self-citation
Cited by
Sorted by citations
Items 101–200 of 650
Organs to Cells and Cells to Organoids: The Evolution of in vitro Central Nervous System Modelling
Pacitti, D., Privolizzi, R., & Bax, B. E. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00129 · Cited by 66
Dissecting the complexities of Alzheimer disease with in vitro models of the human brain
Blanchard, J., Victor, M. B., & Tsai, L. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00578-6 · Cited by 68
Astrocytes and microglia in neurodegenerative diseases: Lessons from human in vitro models
Franklin, H., Clarke, B. E., & Patani, R. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101973 · Cited by 66
Present Application and Perspectives of Organoid Imaging Technology
Fei, K., Zhang, J., Yuan, J., & Xiao, P. (2022) · Bioengineering · doi:10.3390/bioengineering9030121 · Cited by 65
Bassi, G., Grimaudo, M. A., Panseri, S., & Montesi, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031195 · Cited by 69
Ji, Y., Chen, X., Wang, Z., Meek, C. J., McLean, J. L., Yang, Y., Yuan, C., Rochet, J., Liu, F., & Xu, R. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03041-w · Cited by 74
Chun, H., Marriott, I., Lee, C. J., & Cho, H. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00797 · Cited by 77
Self-citationJairaman, A., McQuade, A., Granzotto, A., Kang, Y. J., Chadarevian, J. P., Gandhi, S., Parker, I., Smith, I., Cho, H., Sensi, S. L., et al. (2022) · eLife · doi:10.7554/elife.73021 · Cited by 62
Self-citationGlia in Neurodegeneration: The Housekeeper, the Defender and the Perpetrator
Sheeler, C. A., Rosa, J. S., Ferro, A., McAdams, B. D., Borgenheimer, E., & Cvetanović, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239188 · Cited by 61
Modeling Immunity In Vitro: Slices, Chips, and Engineered Tissues
Hammel, J. H., Cook, S. R., Belanger, M. C., Munson, J. M., & Pompano, R. R. (2021) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-082420-124920 · Cited by 60
The future of stem cell therapies of Alzheimer’s disease
Wang, Z., Wang, Z.-T., Sun, Y., Tan, L., & Yu, J. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101655 · Cited by 65
Blood–brain barrier (BBB)-on-a-chip: a promising breakthrough in brain disease research
Peng, B., Hao, S., Tong, Z., Bai, H., Pan, S., Lim, K., Li, L., Voelcker, N. H., & Huang, W. (2022) · Lab on a Chip · doi:10.1039/d2lc00305h · Cited by 61
Sabogal-Guáqueta, A. M., Marmolejo-Garza, A., de Pádua, V. P., Eggen, B. J. L., Boddeke, E., & Dolga, A. M. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101805 · Cited by 65
A 3D disease and regeneration model of peripheral nervous system–on–a–chip
Hyung, S., Lee, B., Kim, J., Kim, Y., Kim, S., Kim, H. N., & Jeon, N. L. (2021) · Science Advances · doi:10.1126/sciadv.abd9749 · Cited by 60
Micro/nanosystems for controllable drug delivery to the brain
Tian, M., Ma, Z., & Yang, G. (2023) · The Innovation · doi:10.1016/j.xinn.2023.100548 · Cited by 64
Standardizing designed and emergent quantitative features in microphysiological systems
Nahon, D. M., Moerkens, R., Aydoğmuş, H., Lendemeijer, B., Martínez-Silgado, A., Stein, J. M., Dostanić, M., Frimat, J., Gontan, C., de Graaf, M. N. S., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01236-0 · Cited by 65
Gong, X., Liang, Z., Yang, Y., Liu, H., Ji, J., & Fan, Y. (2020) · Regenerative Biomaterials · doi:10.1093/rb/rbaa002 · Cited by 59
Don't forget astrocytes when targeting Alzheimer's disease
Sadick, J. S., & Liddelow, S. A. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14568 · Cited by 60
Maoz, B. M. (2021) · APL Bioengineering · doi:10.1063/5.0055812 · Cited by 63
Venkataraman, L., Fair, S. R., McElroy, C. A., Hester, M. E., & Fu, H. (2020) · Stem Cell Reviews and Reports · doi:10.1007/s12015-020-10068-9 · Cited by 55
Human 3D brain organoids: steering the demolecularization of brain and neurological diseases
Adlakha, Y. K. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01523-w · Cited by 63
Kumari, S., Dhapola, R., Sharma, P., Singh, S. K., & HariKrishnaReddy, D. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102098 · Cited by 58
Dissecting Alzheimer's disease pathogenesis in human 2D and 3D models
Cenini, G., Hebisch, M., Iefremova, V., Flitsch, L. J., Breitkreuz, Y., Tanzi, R. E., Kim, D. Y., Peitz, M., & Brüstle, O. (2020) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2020.103568 · Cited by 60
Self-citationGarcia, G., Pinto, S., Ferreira, S., Lopes, D., Serrador, M. J., Fernandes, A., Vaz, A. R., Mendonça, A. D., Edenhofer, F., Malm, T., et al. (2022) · Cells · doi:10.3390/cells11213377 · Cited by 55
“As we performed for neuronal miR-124 [25,40], mimics and inhibitors of miR-21 should be tested in human AD models, such as those that we used here, as well as in 3D human triculture systems modeling neurodegeneration and neuroinflammation in AD [124].”
MethodProspects and challenges of imaging neuroinflammation beyond TSPO in Alzheimer’s disease
Faculty, O. B. O. T. M., Boche, D., Gerhard, A., & Rodriguez-Vieitez, E. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04462-w · Cited by 55
Youhanna, S. C., Kemas, A. M., Preiss, L. C., Zhou, Y., Shen, J. X., Cakal, S. D., Paqualini, F. S., Goparaju, S. K., Shafagh, R. Z., Lind, J. U., et al. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000238 · Cited by 61
Calcium and activity-dependent signaling in the developing cerebral cortex
Arjun McKinney, A., Petrova, R., & Panagiotakos, G. (2022) · Development · doi:10.1242/dev.198853 · Cited by 55
Promoting Alzheimer’s disease research and therapy with stem cell technology
Cao, Z., Kong, F., Ding, J., Chen, C., He, F., & Deng, W. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03737-w · Cited by 60
The role of glial autophagy in Alzheimer’s disease
Litwiniuk, A., Juszczak, G. R., Stankiewicz, A. M., & Urbańska, K. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02242-5 · Cited by 54
Impact of increased APP gene dose in Down syndrome and the Dp16 mouse model
Sawa, M., Overk, C., Becker, A., Derse, D., Albay, R., Weldy, K., Salehi, A., Beach, T. G., Doran, E., Head, E., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12463 · Cited by 54
Bang, S., Lee, S., Choi, N., & Kim, H. N. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202002119 · Cited by 57
3D hydrogel models of the neurovascular unit to investigate blood–brain barrier dysfunction
Potjewyd, G., Kellett, K. A. B., & Hooper, N. M. (2021) · Neuronal Signaling · doi:10.1042/ns20210027 · Cited by 53
Kajtez, J., Wesseler, M. F., Birtele, M., Khorasgani, F. R., Ottosson, D. R., Heiskanen, A. R., Kamperman, T., Leijten, J., Martı́nez-Serrano, A., Larsen, N. B., et al. (2022) · Advanced Science · doi:10.1002/advs.202201392 · Cited by 54
Haenseler, W., & Rajendran, L. (2019) · Stem Cells · doi:10.1002/stem.2995 · Cited by 58
Cellular complexity in brain organoids: Current progress and unsolved issues
Mansour, A. A., Schafer, S. T., & Gage, F. H. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.05.013 · Cited by 52
Porciúncula, L. O., Goto‐Silva, L., Ledur, P. F., & Rehen, S. K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.674563 · Cited by 54
Yildirimer, L., Zhang, Q., Kuang, S., Cheung, J. C., Chu, K. A., He, Y., Yang, M., & Zhao, X. (2019) · Biofabrication · doi:10.1088/1758-5090/ab17aa · Cited by 54
Tang, Z., Liang, D., Cheng, M., Su, X., Liu, R., Zhang, Y., & Wu, H. (2020) · Journal of Molecular Neuroscience · doi:10.1007/s12031-020-01629-1 · Cited by 56
Maniv, I., Sarji, M., Bdarneh, A., Feldman, A., Ankawa, R., Koren, E., Magid-Gold, I., Reis, N., Soteriou, D., Salomon‐Zimri, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41545-7 · Cited by 54
Modeling the neuroimmune system in Alzheimer’s and Parkinson’s diseases
Balestri, W., Sharma, R., da Silva, V. A., Bobotis, B. C., Curle, A. J., Kothakota, V., Kalantarnia, F., Hangad, M. V., Hoorfar, M., Jones, J., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03024-8 · Cited by 55
Microglia in Neurodegenerative Disorders
Tejera, D., & Heneka, M. T. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9658-2_5 · Cited by 54
The role of glia in protein aggregation
Li, Q., & Haney, M. S. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105015 · Cited by 54
Kumarasamy, M., & Sosnik, A. (2021) · iScience · doi:10.1016/j.isci.2021.102183 · Cited by 52
Kim, E., Jeong, E., Hong, Y., Jeong, I., Kim, J.-H., Kwon, Y. W., Park, Y., Lee, J., Choi, S., Kim, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55752-3 · Cited by 67
Self-citationFanizza, F., Campanile, M., Forloni, G., Giordano, C., & Albani, D. (2022) · Journal of Tissue Engineering · doi:10.1177/20417314221095339 · Cited by 55
Review of Design Considerations for Brain-on-a-Chip Models
Cameron, T., Bennet, T. J., Rowe, E. M., Anwer, M., Wellington, C. L., & Cheung, K. C. (2021) · Micromachines · doi:10.3390/mi12040441 · Cited by 49
Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research
Brown, D. G., & Wobst, H. J. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.9b00797 · Cited by 47
Human iPSC-Based Modeling of Central Nerve System Disorders for Drug Discovery
Lu, Q., & Julia, T. C. W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031203 · Cited by 49
Engineered 3D human neurovascular model of Alzheimer's disease to study vascular dysfunction
Pavlou, G., Spitz, S., Pramotton, F. M., Tsai, A., Li, B. M., Wang, X., Barr, O. M., Ko, E. C., Zhang, S., Ashley, S. J., et al. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122864 · Cited by 50
Self-citationRedefining Microglial Identity in Health and Disease at Single-Cell Resolution
Provenzano, F., Pérez, M. J., & Deleidi, M. (2021) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.09.001 · Cited by 45
Recent Trends and Perspectives in Cerebral Organoids Imaging and Analysis
Martin, C. B., Simon-Chane, C., Clouchoux, C., & Histace, A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.629067 · Cited by 41
Current progress of cerebral organoids for modeling Alzheimer's disease origins and mechanisms
Sreenivasamurthy, S., Laul, M., Zhao, N., Kim, T., & Zhu, D. (2022) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10378 · Cited by 49
Modeling Controlled Cortical Impact Injury in 3D Brain‐Like Tissue Cultures
Liaudanskaya, V., Chung, J. Y., Mizzoni, C., Rouleau, N., Berk, A. N., Wu, L., Turner, J. A., Georgakoudi, I., Whalen, M. J., Nieland, T. J. F., et al. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.202000122 · Cited by 45
Zhang, Y., Chen, H., Long, X., & Xu, T. (2021) · Bioactive Materials · doi:10.1016/j.bioactmat.2021.09.023 · Cited by 44
Lim, C. H., Kaur, P., Teo, E., Lam, V. Y. M., Zhu, F., Kibat, C., Gruber, J., Mathuru, A. S., & Tolwinski, N. S. (2020) · eLife · doi:10.7554/elife.52589 · Cited by 44
3D biomaterial models of human brain disease
Kajtez, J., Nilsson, F., Fiorenzano, A., Parmar, M., & Emnéus, J. (2021) · Neurochemistry International · doi:10.1016/j.neuint.2021.105043 · Cited by 45
Dynamic 3D On-Chip BBB Model Design, Development, and Applications in Neurological Diseases
Chen, X., Liu, C., Muok, L., Zeng, C., & Li, Y. (2021) · Cells · doi:10.3390/cells10113183 · Cited by 46
Kaur, K., Narang, R. K., & Singh, S. (2023) · Current Molecular Medicine · doi:10.2174/1566524023666230726145447 · Cited by 43
Li, R., Wang, J., Xiong, W., Luo, Y., Feng, H., Zhou, H., Peng, Y., He, Y., & Ye, Q. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1358179 · Cited by 45
Recent Developments in Microfluidic Technologies for Central Nervous System Targeted Studies
Teixeira, M. I., Amaral, M. H., Costa, P. C., Lopes, C. M., & Lamprou, D. A. (2020) · Pharmaceutics · doi:10.3390/pharmaceutics12060542 · Cited by 44
The Role of Microglia in Perioperative Neurocognitive Disorders
Fan, W., Mai, L., Zhu, X. M., Huang, F., & He, H. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00261 · Cited by 42
Lee, S. H., & Jun, B. (2018) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2018.11.041 · Cited by 44
Advanced Human BBB‐on‐a‐Chip: A New Platform for Alzheimer's Disease Studies
Yoon, J., Kim, J., Shah, Z., Awasthi, A., Mahajan, A., & Kim, Y. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202002285 · Cited by 45
Neurotechnological Approaches to the Diagnosis and Treatment of Alzheimer’s Disease
Ning, S., Jorfi, M., Patel, S. R., Kim, D. Y., & Tanzi, R. E. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.854992 · Cited by 43
Self-citationCortical Neurons form a Functional Neuronal Network in a 3D Printed Reinforced Matrix
Janzen, D., Bakırcı, E., Wieland, A., Martin, C., Dalton, P. D., & Villmann, C. (2020) · Advanced Healthcare Materials · doi:10.1002/adhm.201901630 · Cited by 41
Parihar, A., Pandita, V., & Khan, R. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28166 · Cited by 41
Implementation of blood-brain barrier on microfluidic chip: Recent advance and future prospects
Bi, W., Cai, S., Lei, T., & Wang, L. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101921 · Cited by 44
Deconstructing and reconstructing the human brain with regionally specified brain organoids
Xiang, Y., Çakır, B., & Park, I. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.05.023 · Cited by 39
Boche, D., & Nicoll, J. A. R. (2020) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12642 · Cited by 41
Progress in iPSC-Based Modeling of Psychiatric Disorders
Hoffmann, A., Ziller, M. J., & Spengler, D. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194896 · Cited by 39
Lin, Y., Shi, Q., Zhang, L., Yue, C.-P., He, Z.-J., Li, X.-X., He, Q., Liu, Q., & Du, X. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.317992 · Cited by 39
Harnessing cerebral organoids for Alzheimer's disease research
Bubnys, A., & Tsai, L. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.10.003 · Cited by 41
Single cell transcriptomic profiling of a neuron-astrocyte assembloid tauopathy model
Rickner, H., Jiang, L., Hong, R., O’Neill, N. K., Mojica, C. A., Snyder, B. J., Zhang, L., Shaw, D., Medalla, M., Wolozin, B. L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34005-1 · Cited by 43
Scuto, M. C., Modafferi, S., Rampulla, F., Zimbone, V., Tomasello, M., Spanò, S. M., Ontario, M. L., Palmeri, A., Salinaro, A. T., Siracusa, R., et al. (2022) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2022.111686 · Cited by 40
D’Antoni, C., Mautone, L., Sanchini, C., Tondo, L., Grassmann, G., Cidonio, G., Bezzi, P., Cordella, F., & Angelantonio, S. D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241310762 · Cited by 41
Engineering brain-on-a-chip platforms
Servais, B., Mahmoudi, N., Gautam, V., Tong, W., Ibbotson, M. R., Nisbet, D. R., & Collins, D. J. (2024) · Nature Reviews Bioengineering · doi:10.1038/s44222-024-00184-3 · Cited by 44
Beaulieu, J., Costa, G., Renaud, J., Moitié, A., Glémet, H., Sergi, D., & Martinoli, M. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02328-7 · Cited by 37
Engineered stem cells by emerging biomedical stratagems
Wang, J., Zhang, X., Chen, H., Ren, H., Zhou, M., & Zhao, Y. (2024) · Science Bulletin · doi:10.1016/j.scib.2023.12.006 · Cited by 37
Teli, P., Kale, V. P., & Vaidya, A. (2023) · Cell and Tissue Research · doi:10.1007/s00441-023-03821-2 · Cited by 37
Modeling Alzheimer’s disease with human iPS cells: advancements, lessons, and applications
Essayan-Perez, S., Zhou, B., Nabet, A. M., Wernig, M., & Huang, Y. A. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.104503 · Cited by 40
Toward three-dimensional in vitro models to study neurovascular unit functions in health and disease
Robert, J., Caffrey, T. M., & Button, E. B. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.310671 · Cited by 37
Ma, C., Wu, Y., Song, L., Yin, L., Yin, J.-J., Wang, Q., Yu, J., & Xiao, B. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.355747 · Cited by 37
Tools for studying human microglia: In vitro and in vivo strategies
Warden, A. S., Han, C. Z., Hansen, E. A., Trescott, S., Nguyen, C. T., Kim, R. Y., Schafer, D. M., Johnson, A., Wright, M., Ramírez, G., et al. (2022) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2022.10.008 · Cited by 38
Advances in current in vitro models on neurodegenerative diseases
Pereira, I., Lopez-Martinez, M. J., & Samitier, J. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1260397 · Cited by 35
Neziri, S., Köseoğlu, A. E., Köseoğlu, G. D., Özgültekin, B., & Özgentürk, N. Ö. (2024) · Animal Models and Experimental Medicine · doi:10.1002/ame2.12487 · Cited by 40
In Vitro Blood–Brain Barrier-Integrated Neurological Disorder Models Using a Microfluidic Device
Choi, J., Santhosh, M., & Choi, J.-W. (2019) · Micromachines · doi:10.3390/mi11010021 · Cited by 37
Barth, M., Bacioglu, M., Schwarz, N., Novotny, R., Brandes, J., Welzer, M., Mazzitelli, S., Häsler, L. M., Schweighauser, M., Wuttke, T. V., et al. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00471-2 · Cited by 35
Modeling Neurodegenerative Diseases Using In Vitro Compartmentalized Microfluidic Devices
Miny, L., Maisonneuve, B. G. C., Quadrio, I., & Honegger, T. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.919646 · Cited by 37
Cellular senescence and neurodegeneration
Holloway, K., Neherin, K., Dam, K. U., & Zhang, H. (2023) · Human Genetics · doi:10.1007/s00439-023-02565-x · Cited by 40
Korhonen, P., Malm, T., & White, A. R. (2018) · Neurochemistry International · doi:10.1016/j.neuint.2018.08.012 · Cited by 34
If Human Brain Organoids Are the Answer to Understanding Dementia, What Are the Questions?
Ooi, L., Dottori, M., Cook, A. L., Engel, M., Gautam, V., Grubman, A., Hernández, D., King, A. E., Maksour, S., Anastacio, H. T. D., et al. (2020) · The Neuroscientist · doi:10.1177/1073858420912404 · Cited by 35
Brain organoids: Human 3D models to investigate neuronal circuits assembly, function and dysfunction
Tambalo, M., & Lodato, S. (2020) · Brain Research · doi:10.1016/j.brainres.2020.147028 · Cited by 36
García‐León, J. A., Cáceres-Palomo, L., Sánchez‐Mejías, E., Mejias‐Ortega, M., Nuñez‐Diaz, C., Fernandez-Valenzuela, J. J., Sanchez-Varo, R. M., Dávila, J. C., Vitórica, J., & Gutiérrez, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21186867 · Cited by 35
Harnessing Immunoproteostasis to Treat Neurodegenerative Disorders
Golde, T. E. (2019) · Neuron · doi:10.1016/j.neuron.2019.02.027 · Cited by 45
A review on 3D printing functional brain model
Samanipour, R., Tahmooressi, H., Nejad, H. R., Hirano, M., Shin, S. R., & Hoorfar, M. (2022) · Biomicrofluidics · doi:10.1063/5.0074631 · Cited by 37
Choe, M. S., Yeo, H. C., Kim, J., Lee, J., Lee, H. J., Kim, H., Baek, K. M., Jung, N., Choi, M., & Lee, M. Y. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03732-1 · Cited by 39
Toffa, D. H., Magnerou, M. A., Kassab, A., Djibo, F. H., & Sow, A. D. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.03.014 · Cited by 33
Zilony, N., Rosenberg, M., Richman, M., Yehuda, R., Schori, H., Motiei, M., Rahimipour, S., Groisman, A., Segal, E., & Shefi, O. (2019) · Small · doi:10.1002/smll.201904203 · Cited by 34
Current and Emerging Pharmacological Targets for the Treatment of Alzheimer’s Disease
Morsy, A., & Trippier, P. C. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190744 · Cited by 36
A microfiber scaffold-based 3D in vitro human neuronal culture model of Alzheimer's disease
Ranjan, V., Qiu, L., Lee, J. W. L., Chen, X., Jang, S. E., Chai, C., Lim, K., Tan, E., Zhang, Y., Huang, W., et al. (2020) · Biomaterials Science · doi:10.1039/d0bm00833h · Cited by 33
Metadata
- Authors
- Park, J., Wetzel, I., Marriott, I., Dréau, D., D’Avanzo, C., Kim, D. Y., Tanzi, R. E., & Cho, H.
- Affiliations
- University of North Carolina at Charlotte (US)
- Harvard University (US)
- Corresponding author
- Cho, Hansang
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2018-06-27
- Volume
- 21
- Issue
- 7
- Pages
- 941-951
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC6800152
- OpenAlex
- W2809913775
- Cited by
- 644
- References
- 48
- Citations by year
- 2026: 35 · 2025: 78 · 2024: 90 · 2023: 91 · 2022: 78 · 2021: 110 · 2020: 92 · 2019: 58 · 2018: 12
- FWCI
- 46.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P01AG015379, R01AG061891, RF1AG048080, R01AG014713)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- Alzheimer's disease, microfluidic platform, neuroinflammation, amyloid-beta aggregation, phosphorylated tau, microglial recruitment, human brain model
- MeSH terms
- Alzheimer Disease, Astrocytes, Humans, Inflammation, Nerve Degeneration, Neurons, Phosphorylation, Amyloid beta-Peptides, tau Proteins, Microglia, Cell Culture Techniques
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
