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 401–500 of 650
del Rı́o, J. A., & Ferrer, I. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.570692 · Cited by 8
PLGA Multiplex Membrane Platform for Disease Modelling and Testing of Therapeutic Compounds
Piscioneri, A., Morelli, S., Drioli, E., & Bartolo, L. D. (2021) · Membranes · doi:10.3390/membranes11020112 · Cited by 9
Patient-derived iPSCs, a reliable in vitro model for the investigation of Alzheimer’s disease
Asiamah, E. A., Guo, R., Kong, D., Feng, B., He, J., Zhang, W., Liu, X., Du, X., Ma, Z., Liu, B., et al. (2021) · Reviews in the Neurosciences · doi:10.1515/revneuro-2020-0065 · Cited by 9
Kumar, D., & Hassan, M. I. (2021) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2021.11.040 · Cited by 9
Contribution of P2X purinergic receptor in cerebral ischemia injury
Zhang, W., Hu, D.-X., Lin, S., Fang, X.-Q., & Ye, Z. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.09.009 · Cited by 9
A Human Embryonic Stem Cell Model of Aβ-Dependent Chronic Progressive Neurodegeneration
Ubina, T., Magallanes, M., Srivastava, S., Warden, C., Yee, J., & Salvaterra, P. M. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01007 · Cited by 9
Fabrication of Multilayer Molds by Dry Film Photoresist
Koucherian, N. E., Yan, S., & Hui, E. E. (2022) · Micromachines · doi:10.3390/mi13101583 · Cited by 8
Hong, S.-J., Lee, J. H., Kim, Y., Kim, E. H., & Shin, K. (2024) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10690 · Cited by 8
Emerging Insights into Brain Inflammation: Stem-Cell-Based Approaches for Regenerative Medicine
Karam, M., Ortega-Gascó, A., & Tornero, D. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26073275 · Cited by 10
Cryopreserving 3D cell culture models of Alzheimer’s disease in hydrogel microbeads
Kim, J. J., Hebisch, M., Kwak, S. S., Zheng, M., Nuli, S. S., Bae, J., Brand, E., Tanzi, R. E., Irimia, D., & Kim, D. Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-94810-8 · Cited by 8
Self-citationWu, L., Lin, B., Fan, H., & Li, Y. (2025) · Lab on a Chip · doi:10.1039/d5lc00799b · Cited by 9
Li, S., Gao, Y., Zhang, X., Lang, J., Liu, X., Zhang, Y., Zhang, J., Zhao, Y., Cui, C., Gao, X., et al. (2025) · Metabolic Brain Disease · doi:10.1007/s11011-025-01738-z · Cited by 8
Microbiota‐gut‐brain axis multi‐organ chip construction and applications in drug evaluation
Tang, Y., Chen, H., Zhao, Z., Kang, X., Wang, W., Dai, K., Guo, Y., Liang, A., Luo, A., & Hao, Z. (2025) · iMetaOmics. · doi:10.1002/imo2.70065 · Cited by 9
Xiao, Q., Geng, M., Sun, Y., Pi, Y., & Xiong, L. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03848-0 · Cited by 8
Breaking Barriers: Exploring Neurotransmitters through In Vivo vs. In Vitro Rivalry
Lachance, G. P., Gauvreau, D., Boisselier, É., Boukadoum, M., & Miled, A. (2024) · Sensors · doi:10.3390/s24020647 · Cited by 8
Age-Related Neurodegenerative Diseases: A Stem Cell’s Perspective
Calvo, B., Schembri-Wismayer, P., & Alonso, M. B. D. (2025) · Cells · doi:10.3390/cells14050347 · Cited by 9
Obal, D., & Wu, J. C. (2020) · British Journal of Pharmacology · doi:10.1111/bph.15228 · Cited by 8
Screening neuroprotective compounds in herpes-induced Alzheimer's disease cell and 3D tissue models
Silveira, I. A., Mullis, A. S., Cairns, D. M., Shevzov-Zebrun, A., Whalen, J., Galuppo, A., Walsh, K. G., & Kaplan, D. L. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.05.002 · Cited by 9
Noorani, B., Cucullo, L., Ahn, Y., Kadry, H., Bhalerao, A., Raut, S., Nozohouri, E., & Chowdhury, E. A. (2022) · Current Neuropharmacology · doi:10.2174/1570159x20666220706112711 · Cited by 9
Modeling neuro-immune interactions using human pluripotent stem cells
Garcia-Epelboim, A., & Christian, K. M. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102672 · Cited by 7
Light on Alzheimer’s disease: from basic insights to preclinical studies
Mi, J., Liu, C., Chen, H., Qian, Y., Zhu, J., Zhang, Y., Liang, Y., Wang, L., & Ta, D. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1363458 · Cited by 8
Hu, F., Pan, S.-Y., Chu, J.-Y., Liu, J., Duan, T., Luo, Y., Zhou, W., Wang, Z.-M., Liu, W., & Zeng, Y. (2024) · Nutrients · doi:10.3390/nu16213754 · Cited by 8
Yu, W., Li, Y., Liu, Z., Hua, S., Tan, Z., Tang, W. X., Gao, M., Zhou, X., & Hua, Z. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102850 · Cited by 7
Microphysiological models of the central nervous system with fluid flow
Zilberman, A., & Cornelison, R. C. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.05.015 · Cited by 7
HiPSC-derived 3D neural models reveal neurodevelopmental pathomechanisms of the Cockayne Syndrome B
Kapr, J., Scharkin, I., Ramachandran, H., Westhoff, P., Pollet, M., Dangeleit, S., Brockerhoff, G., Rossi, A., Koch, K., Krutmann, J., et al. (2024) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-024-05406-w · Cited by 10
Salvianolate reduces neuronal apoptosis by suppressing OGD-induced microglial activation
Luan, P., Ding, X., Xu, J., Jiang, L., Xu, Y., Zhu, Y., Li, R., & Zhang, J. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118393 · Cited by 7
Human Pluripotent Stem Cell Differentiation to Microglia
Ijaz, L., Nijsure, M. P., & Fossati, V. (2021) · Methods in molecular biology · doi:10.1007/7651_2021_359 · Cited by 7
Gerschenfeld, G., Aid, R., Simón‐Yarza, T., Lanouar, S., Charnay, P., Letourneur, D., & Topilko, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222312726 · Cited by 7
A Nanofiber‐embedded Microfluidic Platform for Studying Neurobiology
Lee, D.-H., Sharma, N. S., Shahriar, S. M. S., Yang, K. C., Yan, Z., & Xie, J. (2022) · ChemNanoMat · doi:10.1002/cnma.202200354 · Cited by 7
Towards elucidating disease-relevant states of neurons and glia by CRISPR-based functional genomics
Leng, K., & Kampmann, M. (2022) · Genome Medicine · doi:10.1186/s13073-022-01134-7 · Cited by 7
Michalski, C., & Wen, Z. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1291115 · Cited by 7
Bioengineering platforms for cell therapeutics derived from pluripotent and direct reprogramming
Jin, Y., & Cho, S. (2021) · APL Bioengineering · doi:10.1063/5.0040621 · Cited by 7
Liang, C.-C., Chen, P., Liu, N., & Lee, I. (2024) · Lab on a Chip · doi:10.1039/d3lc00507k · Cited by 6
Yoon, D., & Nam, Y. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202510446 · Cited by 6
Three-dimensional human brain organoids: A next-generation model to decode Alzheimer’s disease
Kumari, S., Ashvin, Dhapola, R., Sharma, P., Paidlewar, M., Vellingiri, B., Medhi, B., & HariKrishnaReddy, D. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102928 · Cited by 6
3D Hydrogel Cell Cultures and Their Biomedical Applications
Thai, T. L., Manchanda, A., Higginbottom, S. L., Rodriguez, E. S., Wilson, R., Tomaskovic‐Crook, E., Crook, J. M., & Paull, B. (2025) · Advanced NanoBiomed Research · doi:10.1002/anbr.202500133 · Cited by 6
Blenkle, A., Geladaris, A., & Weber, M. S. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01647-w · Cited by 6
Pereira, M. F., Shyti, R., & Testa, G. (2024) · Stem Cell Reports · doi:10.1016/j.stemcr.2024.05.004 · Cited by 8
Harnessing CRISPR technology for next-generation microphysiological systems
Song, S., Kang, H. W., Kang, M., Chung, S. H., Choi, N., Kim, H. N., & Sung, Y. J. (2025) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2025.118164 · Cited by 6
Engineering microenvironments for manufacturing therapeutic cells
Kwee, B. J., & Sung, K. E. (2021) · Experimental Biology and Medicine · doi:10.1177/15353702211026922 · Cited by 6
Yang, P., Zheng, F., Li, Q., Tian, T. I. A. N., Zhang, G., Wu, L., & Mao, H. (2021) · Chinese Journal of Analytical Chemistry · doi:10.1016/j.cjac.2021.11.003 · Cited by 6
Hilt, S., Liu, R., Maezawa, I., Rojalin, T., Aung, H. H., Budamagunta, M. S., Slez, R. R., Gong, Q., Carney, R. P., & Voss, J. C. (2022) · Frontiers in Chemistry · doi:10.3389/fchem.2022.896386 · Cited by 7
Disease Modeling of Neurodegenerative Disorders Using Direct Neural Reprogramming
Legault, E. M., Bouquety, J., & Drouin‐Ouellet, J. (2022) · Cellular Reprogramming · doi:10.1089/cell.2021.0172 · Cited by 7
Modeling Psychiatric Diseases with Induced Pluripotent Stem Cells
van Hugte, E., & Kasri, N. N. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9721-0_15 · Cited by 6
Editorial: The Role of Glia in Alzheimer's Disease
Perez‐Nievas, B. G., & Serrano‐Pozo, A. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2018.01161 · Cited by 6
Three-Dimensional Microfluidic Platform with Neural Organoids: Model System for Unraveling Synapses
Mukherjee, N., Nandi, S., Ghosh, S., Garg, S., & Ghosh, S. (2019) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.9b00654 · Cited by 6
Buchholz, S., Bell, M. J., Kabbani, M. A. A., Kluge, L., Cagkmak, C., Klimek, J., & Zempel, H. (2022) · Research Square · doi:10.21203/rs.3.rs-2277268/v1 · Cited by 6
Sang, J.-J., Gao, J., Zuo, H., Yu, H., Qin, Y., Hu, J., & Hao, F. (2025) · Biomolecules · doi:10.3390/biom15121671 · Cited by 5
Barragán-Álvarez, C. P., Flores-Fernández, J. M., Hernández‐Pérez, O. R., Ávila‐González, D., Díaz, N. F., Padilla‐Camberos, E., Dublán‐García, O., Gómez‐Oliván, L. M., & Diaz-Martinez, N. E. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.947769 · Cited by 5
Tran, V. T. A., Etemadi, N., Tran, M., Lee, J., Ko, H. S., Jo, D., Lee, L. P., & Cho, H. (2025) · BioChip Journal · doi:10.1007/s13206-025-00203-4 · Cited by 6
Self-citationA fully automated primary neuron purification system using continuous centrifugal microfluidics
Intisar, A., Lee, S. J., Kim, Y., Kim, W., Shin, H. Y., Kim, M. Y., Kim, J. M., Lee, J.-M., Mo, Y. J., Kim, Y. S., et al. (2022) · Lab on a Chip · doi:10.1039/d2lc00381c · Cited by 5
Hernaiz, A., Cobeta, P., Marín, B., Vázquez, F. J., Badiola, J. J., Zaragoza, P., Bolea, R., & Martín‐Burriel, I. (2023) · Animals · doi:10.3390/ani13061043 · Cited by 5
Leveraging Biomaterial Platforms to Study Aging-Related Neural and Muscular Degeneration
Hidalgo‐Alvarez, V., & Madl, C. M. (2024) · Biomolecules · doi:10.3390/biom14010069 · Cited by 5
Jones, P. D., Molina-Martínez, B., Niedworok, A., & Cesare, P. (2024) · Lab on a Chip · doi:10.1039/d3lc00963g · Cited by 5
Neuroscience models: choose your dimension
Marx, V. (2018) · Nature Methods · doi:10.1038/s41592-018-0191-z · Cited by 5
Advances in microglia cellular models: focus on extracellular vesicle production
Ceccarelli, L., Marchetti, L., Giacomelli, C., & Martini, C. (2021) · Biochemical Society Transactions · doi:10.1042/bst20210203 · Cited by 5
Astrocyte interleukin-3 preps microglia
Klein, R. S. (2021) · Trends in Immunology · doi:10.1016/j.it.2021.09.008 · Cited by 5
Liu, Y., Chang, D., Liu, T., & Zhou, X. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1135934 · Cited by 4
Salgado, B., Sastre, I., Bullido, M. J., & Aldudo, J. (2023) · Microorganisms · doi:10.3390/microorganisms11051205 · Cited by 6
Etebar, F., White, A. R., & Quek, H. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1770518 · Cited by 4
In vitro engineered models of neurodegenerative diseases
Morçimen, Z. G., Taşdemir, Ş., & Şendemir, A. (2024) · Biocell · doi:10.32604/biocell.2023.045361 · Cited by 4
Coronel, R., González-Sastre, R., Mateos-Martínez, P., Maeso, L., Llorente-Beneyto, E., Martín-Benito, S., Gagosian, V. S. C., Foti, L., González, M. D. C., López-Alonso, V., et al. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-01639 · Cited by 5
Montalesi, E., Caissutti, D., Moliterni, C., Ferrante, A., Pepponi, R., Garofalo, T., Sorice, M., Misasi, R., & Candelise, N. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05884-6 · Cited by 4
Prasannan, P., Siney, E. J., Chatterjee, S., Johnston, D. A., Shah, M., Mudher, A. K., & Willaime‐Morawek, S. (2022) · In vitro models · doi:10.1007/s44164-022-00038-5 · Cited by 4
Bibliometric analysis of cerebral organoids and diseases in the last 10 years
Luo, B., Liu, K., & Fan, J. (2023) · Ibrain · doi:10.1002/ibra.12139 · Cited by 5
Ding, Q., Zhao, Y. S., Xi, E., Liu, K., Gao, N., & Zhu, G. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202402425 · Cited by 4
Research Progress on Neural Cell Culture Systems
Li, T., Qin, X., & Ao, Q. (2025) · Current Neuropharmacology · doi:10.2174/011570159x360193250219082312 · Cited by 4
3D bioprinted unidirectional neural network and its application for alcoholic neurodegeneration
Bae, M., Kim, J. J., Jang, J., & Cho, D. (2025) · International Journal of Extreme Manufacturing · doi:10.1088/2631-7990/add632 · Cited by 4
Application and prospects of high-throughput screening for in vitro neurogenesis
Zhang, S., Zhao, J., Ni, J.-J., Li, H., Quan, Z., & Qing, H. (2022) · World Journal of Stem Cells · doi:10.4252/wjsc.v14.i6.393 · Cited by 4
Multiscale Microstructure for Investigation of Cell–Cell Communication
Schneider, A., Scharnweber, T., Cammann, D., Rapp, B. E., Giselbrecht, S., & Niemeyer, C. M. (2020) · Small Methods · doi:10.1002/smtd.202000647 · Cited by 4
Cuní‐López, C., Quek, H., Oikari, L. E., Stewart, R., Nguyen, T. H., Sun, Y., Guo, C. C., Lupton, M. K., & White, A. R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.17.435758 · Cited by 4
A 3D in vitro assay to study combined immune cell infiltration and cytotoxicityPreprint
Crawford, A. J., Johnston, A. C., Du, W., Hanna, E. A., Schell, D., Wan, Z., Chen, T.-H., Wu, F., Ren, K., Lim, Y., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.27.586980 · Cited by 4
Tumor Immune Engineering: Developing In Vitro Assays to Understand the Tumor–Immune Crosstalk
Iyer, R. N., Vartak, M., & Dey, T. (2025) · Advanced Biology · doi:10.1002/adbi.202400735 · Cited by 3
Cutting-edge technologies in neural regeneration
Li, C.-P., Wang, Y., Zhou, C.-W., Ding, C., Teng, P., Nie, R., & Yang, S. (2025) · Cell Regeneration · doi:10.1186/s13619-025-00260-y · Cited by 3
Bury, A. G., Olejnik, A., Tocco, C., Saurat, N. G., Stephen, E., Hockemeyer, D. F., Schwamborn, J. C., Studer, L., Mastroberardino, P. G., Bolognin, S., et al. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-01137-2 · Cited by 4
Opportunities and Challenges in Precision Neurotherapeutics
Mujica-Parodi, L. R., Öngür, D., & Richardson, R. M. (2026) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-110824-031709 · Cited by 4
Chéron, J., Ranga, A., & Bonnefont, J. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1729102 · Cited by 5
Jarrah, R. M., Nathani, K. R., Bhandarkar, S., Ezeudu, C. S., Nguyen, R. T., Amare, A., Aljameey, U. A., Jarrah, S. I., Bhandarkar, A. R., & Fiani, B. (2023) · Regenerative Medicine · doi:10.2217/rme-2022-0212 · Cited by 3
Phytochemicals and Vitagenes for a Healthy Brain
Osakabe, N., Anfuso, C. D., Jacob, U. M., Sidenkova, A. P., Fritsch, T., Abdelhameed, A. S., Rashan, L. J., Wenzel, U., Calabrese, E. J., & Calabrese, V. (2024) · Healthy ageing and longevity · doi:10.1007/978-3-031-68513-2_11 · Cited by 3
Organellar quality control crosstalk in aging‐related disease: Innovation to pave the way
Li, Y., Qi, J., Guo, L., Jiang, X. L., & He, G. (2024) · Aging Cell · doi:10.1111/acel.14447 · Cited by 4
Su, X.-D., Junjun, P. U., Jinxia, L. I. A. O., & Wu, Z. (2025) · Chinese Journal of Analytical Chemistry · doi:10.1016/j.cjac.2025.100509 · Cited by 3
Microfluidic tools to model, monitor, and modulate the gut–brain axis
Kim, H., Girardi, G., Pickle, A., Kim, T. S., & Şeker, E. (2025) · Biomicrofluidics · doi:10.1063/5.0253041 · Cited by 3
Dynamic modeling of astrocyte-neuron interactions under the influence of Aβ deposition
Wang, J., & Yang, X. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10246-w · Cited by 3
Application of Organ-on-Chip in Blood Brain Barrier Model
Vatsa, P., & Pant, A. B. (2022) · Springer eBooks · doi:10.1007/978-981-19-1379-2_24 · Cited by 3
Kshirsagar, S., Islam, M. A., Reddy, A. P., & Reddy, P. H. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823241310716 · Cited by 3
Sharlow, E. R., Köseoğlu, M. M., Bloom, G. S., & Lazo, J. S. (2019) · Assay and Drug Development Technologies · doi:10.1089/adt.2019.914 · Cited by 3
Alzheimer’s Disease: Causes, Mechanisms, and Steps Toward Prevention
Choi, S. H., & Tanzi, R. E. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190069162.013.18 · Cited by 3
Self-citationGeerts, H., & van der Graaf, P. (2021) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-210039 · Cited by 3
Control of Astrocyte Quiescence and Activation in a Synthetic Brain HydrogelPreprint
Galarza, S., Crosby, A. J., Pak, C., & Peyton, S. R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/785683 · Cited by 3
Hsien, L. C., Kaur, P., Teo, E., Lam, V. Y. M., Zhu, F., Kibat, C., Mathuru, A. S., Gruber, J., & Tolwinski, N. S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/836593 · Cited by 3
Jacob, F., & Bennett, M. L. (2020) · Lab Animal · doi:10.1038/s41684-019-0465-9 · Cited by 3
Cuní‐López, C., Quek, H., Oikari, L. E., Stewart, R., Nguyen, T. H., Sun, Y., Guo, C. C., Lupton, M. K., & White, A. R. (2021) · Research Square · doi:10.21203/rs.3.rs-571254/v1 · Cited by 3
Sohn, E., Kim, Y. J., Kim, J., & Jeong, S. (2020) · Research Square · doi:10.21203/rs.3.rs-73527/v1 · Cited by 3
Sindi, G., Ismael, S., Uddin, R., Slepchenko, K. G., Colvin, R. A., & Lee, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.02.597022 · Cited by 3
Experimental Models of Alzheimer’s Disease
Ercan, M. (2024) · doi:10.69860/nobel.9786053359166.7 · Cited by 3
Tian, C., Ao, Z., Cerneckis, J., Cai, H., Chen, L., Niu, H., Takayama, K., Kim, J., Shi, Y., Gu, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.16.638539 · Cited by 3
Ngo, H. T., Kang, Y. J., Diep, Y. N., Tran, V. T. A., Kim, S., Park, S., Lee, L. P., & Cho, H. (2025) · BioChip Journal · doi:10.1007/s13206-025-00226-x · Cited by 2
Self-citationA biomaterial-cell model of inflammation-induced neurodegeneration of Parkinson’s disease
Yu, Y., Xue, H., Wang, H., Fu, Y., Zhang, Y., Yu, W., Yu, L. C., Wang, J., Lu, B., & Ding, J. (2025) · Cell Biomaterials · doi:10.1016/j.celbio.2025.100298 · Cited by 3
Using iPSC models to examine neuron–glia interactions in neurodegenerative diseases
Lopez, D. M., Keavey, L., & Bowles, K. R. (2026) · Bioscience Reports · doi:10.1042/bsr20250131 · Cited by 2
Okada, T., Taira, H., & Kimura, T. (2022) · Venoms and Toxins · doi:10.2174/2666121702666220429095250 · Cited by 2
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
