In Situ Detection of Neuroinflammation Using Multicellular 3D Neurovascular‐Unit‐on‐a‐Chip
Open accessAbstract
The human neurovascular system is a complex network of blood vessels and brain cells that is essential to the proper functioning of the brain. Researchers have become increasingly interested in the system for developing drugs to treat neuroinflammation. Currently, creating neurovascular models begins with animal models, followed by testing on humans in clinical trials. However, the high number of medication failures that pass through animal testing indicates that animal models do not always reflect the outcome of human clinical trials. To overcome the challenges of the issues with animal models, a neurovascular‐unit‐on‐a‐chip system is developed to accurately replicate the in vivo human neurovascular microenvironment. By replicating the human neurovascular unit, a more accurate representation of human physiology can be achieved compared to animal models. The ability to detect proinflammatory cytokines in situ and monitor physiological changes can provide an invaluable tool for evaluating the efficacy and safety of drugs. Using nanosized graphene oxide for in situ detection of inflammatory responses is an innovative approach that can advance the field of neuroinflammation research. Overall, the developed neuroinflammation‐on‐a‐chip system has the potential to provide a more efficient and effective method for developing drugs for treating neurodegenerative diseases and other central nervous system diseases.
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Nano-sized patterned platforms have successfully detected markers for CNS diseases, showing remarkable efficacy in early disease marker detection.
“By employing nano-sized patterned platforms, researchers have successfully detected markers that serve as indicators for CNS diseases. This platform has shown remarkable efficacy in early disease marker detection, marking a significant step toward early intervention and treatment [35, 36].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [35]
The Results and Discussion section (page not supplied) reports that an rGO-and-aptamer sensor on a neurovascular chip detected the inflammatory cytokines IL-6 and TNF-α in an experimental model of early neuroinflammation. It does not demonstrate early detection of CNS diseases or efficacy for early intervention and treatment; those are broader claims than the reported experiment supports. (LLM, conf=0.86)
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Cites
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226 · see citing works
Reconstituting organ-level lung functions on a chip
Huh, D., Matthews, B. D., Mammoto, A., Montoya-Zavala, M., Hsin, H. Y., & Ingber, D. E. (2010) · Science · doi:10.1126/science.1188302 · Cited by 4,250 · see citing works
Of Mice and Not Men: Differences between Mouse and Human Immunology
Mestas, J., & Hughes, C. C. W. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.5.2731 · Cited by 3,822 · see citing works
Systemic LPS causes chronic neuroinflammation and progressive neurodegeneration
Qin, L., Wu, X., Block, M. L., Liu, Y., Breese, G. R., Hong, J., Knapp, D. J., & Crews, F. T. (2007) · Glia · doi:10.1002/glia.20467 · Cited by 2,144 · see citing works
Neuroinflammation in Parkinson’s disease: A target for neuroprotection?
Hirsch, E. C., & Hunot, S. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70062-6 · Cited by 1,984 · see citing works
From 3D cell culture to organs-on-chips
Huh, D., Hamilton, G. A., & Ingber, D. E. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.09.005 · Cited by 1,834 · see citing works
Neuroinflammation in Alzheimer's disease: current evidence and future directions
Calsolaro, V., & Edison, P. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.010 · Cited by 1,726 · see citing works
Dopamine controls systemic inflammation through inhibition of NLRP3 inflammasome
Yan, Y., Jiang, W., Liu, L., Wang, X., Ding, C., Tian, Z., & Zhou, R. (2015) · Cell · doi:10.1016/j.cell.2014.11.047 · Cited by 1,014 · see citing works
Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice
Zhao, J., Bi, W., Xiao, S., Lan, X., Cheng, X., Zhang, J., Lu, D., Wei, W., Wang, Y., Li, H., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-42286-8 · Cited by 905 · see citing works
Neuroinflammation in Parkinson's disease and its potential as therapeutic target
Wang, Q., Liu, Y., & Zhou, J. (2015) · Translational Neurodegeneration · doi:10.1186/s40035-015-0042-0 · Cited by 884 · see citing works
A cell culture model of the blood-brain barrier.
Rubin, L. L., Hall, D. E., Porter, S., Barbu, K., Cannon, C., Horner, H. C., Janatpour, M. J., Liaw, C. W., Manning, K., & Morales, J. (1991) · The Journal of Cell Biology · doi:10.1083/jcb.115.6.1725 · Cited by 765 · see citing works
Overcoming the Blood–Brain Barrier: The Role of Nanomaterials in Treating Neurological Diseases
Furtado, D., Björnmalm, M., Ayton, S., Bush, A. I., Kempe, K., & Caruso, F. (2018) · Advanced Materials · doi:10.1002/adma.201801362 · Cited by 708 · see citing works
Cytokine networks in neuroinflammation
Becher, B., Spath, S., & Goverman, J. M. (2016) · Nature reviews. Immunology · doi:10.1038/nri.2016.123 · Cited by 681 · see citing works
A 3D human triculture system modeling neurodegeneration and neuroinflammation in Alzheimer’s disease
Park, J., Wetzel, I., Marriott, I., Dréau, D., D’Avanzo, C., Kim, D. Y., Tanzi, R. E., & Cho, H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0175-4 · Cited by 644 · see citing works
Park, T., Mustafaoğlu, N., Herland, A., Hasselkus, R., Mannix, R. J., Fitzgerald, E. A., Prantil‐Baun, R., Watters, A. L., Henry, O., Benz, M. A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10588-0 · Cited by 600 · see citing works
Organ-on-a-Chip: A New Paradigm for Drug Development
Ma, C., Peng, Y., Li, H., & Chen, W. (2020) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2020.11.009 · Cited by 589 · see citing works
Neuroinflammation in Parkinson's disease
Hirsch, E. C., Vyas, S., & Hunot, S. (2012) · Parkinsonism & Related Disorders · doi:10.1016/s1353-8020(11)70065-7 · Cited by 586 · see citing works
Lipopolysaccharide-induced neuroinflammation as a bridge to understand neurodegeneration
Batista, C. R. A., Gomes, G. F., Candelario-Jalil, E., Fiebich, B. L., & de Oliveira, A. C. P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092293 · Cited by 529 · see citing works
Activation of microglia and astrocytes: a roadway to neuroinflammation and Alzheimer’s disease
Kaur, D., Sharma, V., & Deshmukh, R. R. (2019) · Inflammopharmacology · doi:10.1007/s10787-019-00580-x · Cited by 493 · see citing works
Herland, A., van der Meer, A. D., Fitzgerald, E. A., Park, T., Sleeboom, J. J. F., & Ingber, D. E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150360 · Cited by 481 · see citing works
The role of shear stress in Blood-Brain Barrier endothelial physiology
Cucullo, L., Hossain, M., Puvenna, V., Marchi, N., & Janigro, D. (2011) · BMC Neuroscience · doi:10.1186/1471-2202-12-40 · Cited by 437 · see citing works
Junctional complexes of the blood–brain barrier: permeability changes in neuroinflammation
Petty, M. A., & Lo, E. H. (2002) · Progress in Neurobiology · doi:10.1016/s0301-0082(02)00128-4 · Cited by 361 · see citing works
Syvänen, S., Lindhe, Ö., Palner, M., Kornum, B. R., Rahman, O., Långström, B., Knudsen, G. M., & Hammarlund‐Udenaes, M. (2008) · Drug Metabolism and Disposition · doi:10.1124/dmd.108.024745 · Cited by 361 · see citing works
Hatherell, K. E., Couraud, P., Romero, I. A., Weksler, B. B., & Pilkington, G. J. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.05.012 · Cited by 334 · see citing works
The choreography of neuroinflammation in Huntington's disease
Crotti, A., & Glass, C. K. (2015) · Trends in Immunology · doi:10.1016/j.it.2015.04.007 · Cited by 276 · see citing works
Neuroinflammation in mild cognitive impairment and Alzheimer’s disease: A meta-analysis
Bradburn, S., Murgatroyd, C., & Ray, N. J. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.01.002 · Cited by 268 · see citing works
Rodent models of neuroinflammation for Alzheimer’s disease
Nazem, A., Sankowski, R., Bacher, M., & Al‐Abed, Y. (2015) · Journal of Neuroinflammation · doi:10.1186/s12974-015-0291-y · Cited by 249 · see citing works
Neuroprotection by dihydrotestosterone in LPS-induced neuroinflammation
Yang, L., Zhou, R., Tong, Y., Chen, P., Shen, Y., Miao, S., & Liu, X. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104814 · Cited by 249 · see citing works
Goshi, N., Morgan, R. K., Lein, P. J., & Şeker, E. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-01819-z · Cited by 248 · see citing works
Warren, M. S., Zerangue, N., Woodford, K., Roberts, L. M., Tate, E. H., Feng, B., Li, C., Feuerstein, T. J., Gibbs, J. P., & Smith, B. J. (2009) · Pharmacological Research · doi:10.1016/j.phrs.2009.02.007 · Cited by 240 · see citing works
Advances in Microfluidic Blood–Brain Barrier (BBB) Models
Oddo, A., Peng, B., Tong, Z., Wei, Y., Tong, W. Y., Thissen, H. W., & Voelcker, N. H. (2019) · Trends in biotechnology · doi:10.1016/j.tibtech.2019.04.006 · Cited by 220 · see citing works
Kafa, H., Wang, J. T.-W., Rubio, N., Venner, K., Anderson, G. W., Pach, E., Ballesteros, B., Preston, J. E., Abbott, N. J., & Al‐Jamal, K. T. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2015.02.083 · Cited by 214 · see citing works
Neuroinflammation and Cognitive Aging
Ownby, R. L. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-009-0082-1 · Cited by 212 · see citing works
Development of Novel Therapeutics Targeting the Blood–Brain Barrier: From Barrier to Carrier
Li, J., Zheng, M., Shimoni, O., Banks, W. A., Bush, A. I., Gamble, J. R., & Shi, B. (2021) · Advanced Science · doi:10.1002/advs.202101090 · Cited by 202 · see citing works
Adenosine A2A receptors control neuroinflammation and consequent hippocampal neuronal dysfunction
Rebola, N., Simões, A. P., Canas, P. M., Tomé, Â. R., de Andrade, G. M., Barry, C. E., Agostinho, P. M., Lynch, M. A., & Cunha, R. A. (2011) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07178.x · Cited by 196 · see citing works
Neuroinflammation in Huntington’s disease
Möller, T. (2010) · Journal of Neural Transmission · doi:10.1007/s00702-010-0430-7 · Cited by 174 · see citing works
Amirifar, L., Shamloo, A., Nasiri, R., de Barros, N. R., Wang, Z. Z., Unluturk, B. D., Libanori, A., Ievglevskyi, O., Di̇ltemi̇z, S. E., Sances, S., et al. (2022) · Biomaterials · doi:10.1016/j.biomaterials.2022.121531 · Cited by 148 · see citing works
Why do animal models (sometimes) fail to mimic human sepsis?
Esmon, C. T. (2004) · Critical Care Medicine · doi:10.1097/01.ccm.0000127036.27343.48 · Cited by 146 · see citing works
Graphene quantum dots as anti-inflammatory therapy for colitis
Lee, B., Lee, J. Y., Kim, J., Yoo, J. M., Kang, I., Kim, J.-J., Shin, N., Kim, D. J., Choi, S. W., Kim, D., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz2630 · Cited by 144 · see citing works
Biomolecular engineering for nanobio/bionanotechnology
Nagamune, T. (2017) · Nano Convergence · doi:10.1186/s40580-017-0103-4 · Cited by 132 · see citing works
Multiple Sclerosis and Neuroinflammation: The Overview of Current and Prospective Therapies
Bjelobaba, I. M., Savić, D. Z., & Lavrnja, I. (2017) · Current Pharmaceutical Design · doi:10.2174/1381612822666161214153108 · Cited by 127 · see citing works
Advances in Spheroids and Organoids on a Chip
Fang, G., Chen, Y., Lu, H., & Jin, D. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202215043 · Cited by 127 · see citing works
Neurotransmitters and Microglial-Mediated Neuroinflammation
Lee, M. (2013) · Current Protein and Peptide Science · doi:10.2174/1389203711314010005 · Cited by 120 · see citing works
Programmable Mechanically Active Hydrogel‐Based Materials
Dong, Y., Ramey‐Ward, A. N., & Salaita, K. S. (2021) · Advanced Materials · doi:10.1002/adma.202006600 · Cited by 109 · see citing works
Organ‐On‐A‐Chip Models of the Blood–Brain Barrier: Recent Advances and Future Prospects
Kawakita, S., Mandal, K., Mou, L., Mecwan, M. M., Zhu, Y., Li, S., Sharma, S., Hernández, A. L., Nguyen, H. T., Maity, S., et al. (2022) · Small · doi:10.1002/smll.202201401 · Cited by 101 · see citing works
Rothbauer, M., Rosser, J. M., Zirath, H., & Ertl, P. (2018) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.08.009 · Cited by 100 · see citing works
Gallic Acid Attenuated LPS-Induced Neuroinflammation: Protein Aggregation and Necroptosis
Liu, Y., Hsu, C., Huang, H.-J., Chang, C., Sun, S.-H., & Lin, A. M. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-01759-7 · Cited by 100 · see citing works
Calzaferri, F., Ruiz‐Ruiz, C., de Diego, A. M. G., de Pascual, R., Méndez‐López, I., Cano‐Abad, M. F., Maneu, V., Rı́os, C. D. L., Gandı́a, L., & de Diego, A. M. G. (2020) · Medicinal Research Reviews · doi:10.1002/med.21710 · Cited by 98 · see citing works
Yang, J., Hirai, Y., Iida, K., Ito, S., Trumm, M., Terada, S., Sakai, R., Tsuchiya, T., Tabata, O., & Kamei, K.-I. (2023) · Communications Biology · doi:10.1038/s42003-023-04710-8 · Cited by 98 · see citing works
Zhang, Y., Wu, J., Fu, Z., Meng, S., Dai, L., & Cai, K. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202200374 · Cited by 94 · see citing works
Roboon, J., Hattori, T., Ishii, H., Takarada‐Iemata, M., Nguyen, D. T., Heer, C. D., O’Meally, D., Brenner, C., Yamamoto, Y., Okamoto, H., et al. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15367 · Cited by 93 · see citing works
A Blazing Landscape: Neuroinflammation Shapes Brain Metastasis
Doron, H., Pukrop, T., & Erez, N. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-1805 · Cited by 92 · see citing works
Blood–Brain Barrier and Neurodegenerative Diseases—Modeling with iPSC-Derived Brain Cells
Wu, Y., Sonninen, T.-M., Peltonen, S., Koıstınaho, J., & Lehtonen, Š. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147710 · Cited by 88 · see citing works
LPS and neuroinflammation: a matter of timing
Lopes, P. C. (2016) · Inflammopharmacology · doi:10.1007/s10787-016-0283-2 · Cited by 87 · see citing works
Bennett, C., Mohammed, F. S., Álvarez-Ciara, A., Nguyen, M. A., Dietrich, W. D., Rajguru, S. M., Streit, W. J., & Prasad, A. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.09.040 · Cited by 85 · see citing works
The modulatory role of dopamine receptors in brain neuroinflammation
Xia, Q.-P., Cheng, Z.-Y., & He, L. (2019) · International Immunopharmacology · doi:10.1016/j.intimp.2019.105908 · Cited by 85 · see citing works
Neuroinflammation in Huntington’s Disease: New Insights with <sup>11</sup> C-PBR28 PET/MRI
Lois, C., González, I., Izquierdo-García, D., Zürcher, N. R., Wilkens, P., Loggia, M. L., Hooker, J. M., & Rosas, H. D. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00072 · Cited by 84 · see citing works
The link between neuroinflammation and the neurovascular unit in synucleinopathies
Wang, Q., Zheng, J., Pettersson, S., Reynolds, R., & Tan, E.-K. (2023) · Science Advances · doi:10.1126/sciadv.abq1141 · Cited by 81 · see citing works
Park, J., Decker, J. T., Smith, D. R., Cummings, B. J., Anderson, A. J., & Shea, L. D. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.10.003 · Cited by 70 · see citing works
Advances on fluid shear stress regulating blood-brain barrier
Wang, X., Xu, B., Xiang, M., Yang, X., Liu, Y., Liu, X., & Shen, Y. (2019) · Microvascular Research · doi:10.1016/j.mvr.2019.103930 · Cited by 58 · see citing works
Zhang, Z.-T., Gu, X., Zhao, X., He, X., Shi, H., Zhang, K., Zhang, Y., Su, Y., Zhu, J., Li, Z.-W., et al. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02179-y · Cited by 51 · see citing works
Altered astrocytic function in experimental neuroinflammation and multiple sclerosis
das Neves, S. P., Sousa, J. C., Sousa, N., Cerqueira, J., & Marques, F. (2020) · Glia · doi:10.1002/glia.23940 · Cited by 47 · see citing works
Engineering Densely Packed Adipose Tissue via Environmentally Controlled In‐Bath 3D Bioprinting
Ahn, M., Cho, W., Kim, B. S., & Cho, D. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202200203 · Cited by 47 · see citing works
Yun, S.-W., Son, Y.-H., Lee, D.-Y., Shin, Y.-J., Han, M. J., & Kim, D. (2021) · Food & Function · doi:10.1039/d0fo02984j · Cited by 46 · see citing works
Rod‐Shaped Polymeric Nanoparticles Intervene Neutrophils for Efficient Ischemic Stroke Therapy
Song, Z., Fang, J., Wang, Z., Xiao, R., Guo, X., & Zhou, S. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202212326 · Cited by 46 · see citing works
Yan, Z., Ye, T., Yang, L. Y. O., Jiang, H., Chen, C., Chen, S., Qian, Y., & Fan, C. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202211709 · Cited by 46 · see citing works
Roesler, R., Dini, S. A., & Isolan, G. R. (2021) · Clinical & Experimental Immunology · doi:10.1111/cei.13668 · Cited by 46 · see citing works
A comparison of neuroinflammation to implanted microelectrodes in rat and mouse models
Potter–Baker, K. A., Ravikumar, M., Burke, A., Meador, W. D., Householder, K. T., Buck, A. C., Sunil, S., Stewart, W. G., Anna, J. P., Tomaszewski, W. H., et al. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.03.076 · Cited by 45 · see citing works
Biomimetic Macrophage Membrane and Lipidated Peptide Hybrid Nanovesicles for Atherosclerosis Therapy
Guo, L., Miao, Y., Wang, Y., Zhang, Y., Zhou, E.-F., Wang, J., Zhao, Y., Li, L., Wang, A., Gan, Y., et al. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202204822 · Cited by 43 · see citing works
Neuroinflammation — using big data to inform clinical practice
Dendrou, C. A., McVean, G., & Fugger, L. H. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.171 · Cited by 41 · see citing works
An Essential Role for TAGLN2 in Phagocytosis of Lipopolysaccharide-activated Macrophages
Kim, H. R., Lee, H., Lee, K.-S., Jung, I. D., Kwon, M., Kim, C., Kim, S., Yoon, M., Park, Y., Lee, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-09144-x · Cited by 41 · see citing works
Self-citationLipid dynamics in LPS-induced neuroinflammation by DESI-MS imaging
Oliveira‐Lima, O. C., Tavares, J. C., Rodrigues, M. F., Gomez, M. V., de Oliveira, A. C. P., Resende, R. R., Gomez, R. S., Vaz, B. G., & Pinto, M. C. X. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.01.029 · Cited by 33 · see citing works
Bianco, F., Tonna, N., Lovchik, R. D., Mastrangelo, R., Morini, R., Ruiz, A., Delamarche, E., & Matteoli, M. (2012) · Analytical Chemistry · doi:10.1021/ac302094z · Cited by 28 · see citing works
Ba, V. A. P., Han, Y. M., Cho, Y., Kim, T., Lee, B. Y., Kim, J. S., & Hong, S. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b04287 · Cited by 28 · see citing works
Engineering the Human Blood–Brain Barrier at the Capillary Scale using a Double‐Templating Technique
Zhao, N., Guo, Z., Kulkarni, S., Norman, D., Zhang, S., Chung, T. D., Nerenberg, R. F., Linville, R. M., & Searson, P. C. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202110289 · Cited by 26 · see citing works
Hesperetin Nanoparticle Targeting Neutrophils for Enhanced TBI Therapy
Yao, K., Mu, Q., Zhang, Y., Cheng, Q., Cheng, X., Liu, X., Luo, C., Li, C. C., Cai, S., Luo, Z., et al. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202205787 · Cited by 26 · see citing works
Role of Trichocytic Keratins in Anti‐Neuroinflammatory Effects After Spinal Cord Injury
Zhong, W., Shi, D., Zhou, J., Yang, Y., Wang, B., Sun, X., Shu, Q., Li, W., Xia, Y., Ao, L., et al. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202212870 · Cited by 22 · see citing works
Advances in 3D neural, vascular and neurovascular models for drug testing and regenerative medicine
Fernandes, D. C., Reis, R. L., & Oliveira, J. M. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.11.009 · Cited by 20 · see citing works
Animal models of neuroinflammation secondary to acute insults originated outside the brain
Hamasaki, M. Y., Machado, M. C. C., & da Silva, F. P. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24184 · Cited by 19 · see citing works
Yamahira, S., Misawa, R., Kosaka, T., Tan, M., Izuta, S., Yamashita, H., Heike, Y., Okamoto, A., Nagamune, T., & Yamaguchi, S. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c02949 · Cited by 19 · see citing works
Petrovskaya, A. V., Tverskoi, A., Medvedeva, A., & Nazarova, M. (2023) · Communications Biology · doi:10.1038/s42003-023-04717-1 · Cited by 17 · see citing works
Yamaguchi, S., Takasaki, Y., Yamahira, S., & Nagamune, T. (2020) · Micromachines · doi:10.3390/mi11080762 · Cited by 10 · see citing works
Whalley, K. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3936 · Cited by 8 · see citing works
Jan, A. T., Rahman, S., Sarko, D. K., & Redwan, E. M. M. M. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1177063 · Cited by 4 · see citing works
Restoring balance in Huntington disease
Whalley, K. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3906 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 41
- [1]a) Whalley K, Nature Reviews Neuroscience 2015, 16, 2; 25601773 b) Bjelobaba I, Savic D, Lavrnja I, Curr Pharm Des 2017, 23, 693; 27981909 c) das Neves SP, Sousa JC, Sousa N, Cerqueira JJ, Marques F, Glia 2021, 69, 1341. 33247866
- [2]a) Crotti A, Glass CK, Trends Immunol 2015, 36, 364; 26001312 PMC4786070 b) Lois C, González I, Izquierdo-García D, Zurcher NR, Wilkens P, Loggia ML, Hooker JM, Rosas H. D. J. A. c. n., 2018, 9, 2563; 29719953 c) Moller T, J Neural Transm (Vienna) 2010, 117, 1001. 20535620
- [3]a) Hirsch EC, Vyas S, Hunot S, Parkinsonism Relat Disord 2012, 18 Suppl 1, S210; 22166438 b) Hirsch EC, Hunot S, Lancet Neurol 2009, 8, 382; 19296921 c) Wang Q, Liu Y, Zhou J, Transl Neurodegener 2015, 4, 19. 26464797 PMC4603346
- [4]a) Heneka MT, Carson MJ, El Khoury J, Landreth GE, Brosseron F, Feinstein DL, Jacobs AH, Wyss-Coray T, Vitorica J, Ransohoff RM, Herrup K, Frautschy SA, Finsen B, Brown GC, Verkhratsky A, Yamanaka K, Koistinaho J, Latz E, Halle A, Petzold GC, Town T, Morgan D, Shinohara ML, Perry VH, Holmes C, Bazan NG, Brooks DJ, Hunot S, Joseph B, Deigendesch N, Garaschuk O, Boddeke E, Dinarello CA, Breitner JC, Cole GM, Golenbock DT, Kummer MP, Lancet Neurol 2015, 14, 388; 25792098 PMC5909703 b) Calsolaro V, Edison P, Alzheimers Dement 2016, 12, 719; 27179961 c) Park J, Wetzel I, Marriott I, Dreau D, D’Avanzo C, Kim DY, Tanzi RE, Cho H, Nat Neurosci 2018, 21, 941; 29950669 PMC6800152 d) Kaur D, Sharma V, Deshmukh R, Inflammopharmacology 2019, 27, 663. 30874945
- [5]a) Doron H, Pukrop T, Erez N, Cancer Res 2019, 79, 423; 30679177 PMC6420077 b) Petty MA, Lo EH, Prog Neurobiol 2002, 68, 311; 12531232 c) Roesler R, Dini SA, Isolan GR, Clin Exp Immunol 2021, 206, 314. 34591980 PMC8561695
- [6]Becher B, Spath S, Goverman J, Nat Rev Immunol 2017, 17, 49. 27916979
- [7]Park J, Decker JT, Smith DR, Cummings BJ, Anderson AJ, Shea LD, J Control Release 2018, 290, 88. 30296461 PMC6240362
- [8]a) Yan Y, Jiang W, Liu L, Wang X, Ding C, Tian Z, Zhou R, Cell 2015, 160, 62; 25594175 b) Lee M, Curr Protein Pept Sci 2013, 14, 21. 23441898
- [9]a) Rebola N, Simoes AP, Canas PM, Tome AR, Andrade GM, Barry CE, Agostinho PM, Lynch MA, Cunha RA, J Neurochem 2011, 117, 100; 21235574 b) Xia QP, Cheng ZY, He L, Int Immunopharmacol 2019, 76, 105908. 31622861
- [10]a) Bradburn S, Murgatroyd C, Ray N, Ageing Res Rev 2019, 50, 1; 30610927 b) Ownby RL, Curr Psychiatry Rep 2010, 12, 39; 20425309 c) Yao K, Mu QC, Zhang YF, Cheng Q, Cheng XZ, Liu XJ, Luo CM, Li CM, Cai SX, Luo ZC, Zhu XL, Zhang XT, Cui L, Huang CM, Tang LG, Advanced Functional Materials 2022, 32, 2205787.
- [11]a) Oliveira-Lima OC, Carvalho-Tavares J, Rodrigues MF, Gomez MV, Oliveira ACP, Resende RR, Gomez RS, Vaz BG, Pinto MCX, Brain Behav Immun 2019, 79, 186; 30716391 b) Yan ZW, Ye TB, Yang L, Jiang HQ, Chen C, Chen SL, Qian Y, Fan CY, Advanced Functional Materials 2023, 33, 2211709.
- [12]a) Jan AT, Rahman S, Sarko DK, Redwan EM, Front Aging Neurosci 2023, 15, 1177063; 37056685 PMC10086332 b) Furtado D, Bjornmalm M, Ayton S, Bush AI, Kempe K, Caruso F, Adv Mater 2018, 30, e1801362; 30066406 Dendrou CA, McVean G, Fugger L, Nat Rev Neurol 2016, 12, 685. 27857124
- [13](a) Nazem A, Sankowski R, Bacher M, Al-Abed Y, J Neuroinflammation 2015, 12, 74; 25890375 PMC4404276 (b) Potter-Baker KA, Ravikumar M, Burke AA, Meador WD, Householder KT, Buck AC, Sunil S, Stewart WG, Anna JP, Tomaszewski WH, Capadona JR, Biomaterials 2014, 35, 5637. 24755527 PMC4071936
- [14]a) Hamasaki MY, Machado MCC, Pinheiro da Silva F, J Neurosci Res 2018, 96, 371; 29044654 b) Zhang ZT, Gu XL, Zhao X, He X, Shi HW, Zhang K, Zhang YM, Su YN, Zhu JB, Li ZW, Li GB, J Neuroinflammation 2021, 18, 128. 34092247 PMC8182902
- [15]Calzaferri F, Ruiz-Ruiz C, de Diego AMG, de Pascual R, Mendez-Lopez I, Cano-Abad MF, Maneu V, de Los Rios C, Gandia L, Garcia AG, Med Res Rev 2020, 40, 2427. 32677086
- [16]a) Mestas J, Hughes C. C. J. T. J. o. I., 2004, 172, 2731; 14978070 b) Esmon C. T. J. C. c. m., 2004, 32, S219; 15118521 Warren MS, Zerangue N, Woodford K, Roberts LM, Tate EH, Feng B, Li C, Feuerstein TJ, Gibbs J, Smith B, de Morais SM, Dower WJ, Koller KJ, Pharmacol Res 2009, 59, 404. 19429473
- [17]Syvanen S, Lindhe O, Palner M, Kornum BR, Rahman O, Langstrom B, Knudsen GM, Hammarlund-Udenaes M, Drug Metab Dispos 2009, 37, 635. 19047468
- [18]a) Kafa H, Wang JT, Rubio N, Venner K, Anderson G, Pach E, Ballesteros B, Preston JE, Abbott NJ, Al-Jamal KT, Biomaterials 2015, 53, 437; 25890741 PMC4407899 b) Rubin LL, Hall DE, Porter S, Barbu K, Cannon C, Horner HC, Janatpour M, Liaw CW, Manning K, Morales J,, J Cell Biol 1991, 115, 1725; 1661734 PMC2289219 c) Hatherell K, Couraud PO, Romero IA, Weksler B, Pilkington GJ, J Neurosci Methods 2011, 199, 223. 21609734
- [19]a) Wu Y-C, Sonninen T-M, Peltonen S, Koistinaho J, Lehtonen Š, in International Journal of Molecular Sciences, Vol. 22, 2021; PMC8307585 34299328 b) Kawakita S, Mandal K, Mou L, Mecwan MM, Zhu Y, Li S, Sharma S, Hernandez AL, Nguyen HT, Maity S, de Barros NR, Nakayama A, Bandaru P, Ahadian S, Kim HJ, Herculano RD, Holler E, Jucaud V, Dokmeci MR, Khademhosseini A, Small 2022, 18, e2201401; 35978444 PMC9529899 c) Li J, Zheng M, Shimoni O, Banks WA, Bush AI, Gamble JR, Shi B, Adv Sci (Weinh) 2021, 8, e2101090. 34085418 PMC8373165
- [20]a) Park TE, Mustafaoglu N, Herland A, Hasselkus R, Mannix R, FitzGerald EA, Prantil-Baun R, Watters A, Henry O, Benz M, Sanchez H, McCrea HJ, Goumnerova LC, Song HW, Palecek SP, Shusta E, Ingber DE, Nat Commun 2019, 10, 2621; 31197168 PMC6565686 b) Rothbauer M, Rosser JM, Zirath H, Ertl P, Curr Opin Biotechnol 2019, 55, 81; 30189349 c) Ma C, Peng Y, Li H, Chen W, Trends Pharmacol Sci 2021, 42, 119; 33341248 PMC7990030 d) Huh D, Hamilton GA, Ingber DE, Trends Cell Biol 2011, 21, 745; 22033488 PMC4386065 e) Huh D, Matthews BD, Mammoto A, Montoya-Zavala M, Hsin HY, Ingber DE, Science 2010, 328, 1662. 20576885 PMC8335790
- [21]a) Yamaguchi S, Takasaki Y, Yamahira S, Nagamune T, in Micromachines, Vol. 11, 2020; PMC7465029 32784375 b) Yamahira S, Misawa R, Kosaka T, Tan M, Izuta S, Yamashita H, Heike Y, Okamoto A, Nagamune T, Yamaguchi S, J Am Chem Soc 2022, 144, 13154; 35767880 c) Nagamune T, Nano Converg 2017, 4, 9; 28491487 PMC5401866 d) Yang J, Hirai Y, Iida K, Ito S, Trumm M, Terada S, Sakai R, Tsuchiya T, Tabata O, Kamei KI, Commun Biol 2023, 6, 310; 36959276 PMC10036655 e) Dong Y, Ramey-Ward AN, Salaita K, Adv Mater 2021, 33, e2006600; 34309076 PMC8595730 f) Song ZL, Fang JH, Wang ZH, Xiao RM, Guo X, Zhou SB, Advanced Functional Materials 2023, n/a, 2212326; g) Fang GC, Chen YC, Lu HX, Jin DY, Advanced Functional Materials 2023, n/a, 2215043.
- [22]a) Batista CR, Gomes GF, Candelario-Jalil E, Fiebich BL, de Oliveira AC, in International Journal of Molecular Sciences, Vol. 20, 2019; PMC6539529 31075861 b) Kim HR, Lee HS, Lee KS, Jung ID, Kwon MS, Kim CH, Kim SM, Yoon MH, Park YM, Lee SM, Jun CD, Sci Rep 2017, 7, 8731. 28821818 PMC5562783
- [23]Amirifar L, Shamloo A, Nasiri R, de Barros NR, Wang ZZ, Unluturk BD, Ashammakhi N, Biomaterials 2022, 285, 121531. 35533441
- [24]Herland A, van der Meer AD, FitzGerald EA, Park TE, Sleeboom JJ, Ingber DE, PloS one 2016, 11, 3, e0150360. PMC4773137 26930059
- [25]Bianco F, Tonna N, Lovchik RD, Mastrangelo R, Morini R, Ruiz A, Delamarche E, Matteoli M, Anal Chem 2012, 84, 22, 9833. 23094863
- [26]Liu YL, Hsu CC, Huang HJ, Chang CJ, Sun SH, Lin AMY, Mol Neurobiol AMY 2020, 57, 96. 31832973
- [27]Lopes PC, Inflammopharmacology 2016, 24, 291. 27645902
- [28]Qin L, Wu X, Block ML, Liu Y, Breese GR, Hong JS, Knapp DJ, Crews FT, Glia 2007, 55, 5, 453. PMC2871685 17203472
- [29]Zhao J, Bi W, Xiao S, Lan X, Cheng X, Zhang J, Lu D, Wei W, Wang Y, Li H, Fu Y, Zhu L, Sci Rep 2019, 9, 1, 5790. 30962497 PMC6453933
- [30]Roboon J, Hattori T, Ishii H, Takarada Iemata M, Nguyen DT, Heer CD, O’Meally D, Brenner C, Yamamoto Y, Okamoto H, Higashida H, Hori O, J Neurochem 2021, 158, 2, 311. PMC8282715 33871064
- [31]Goshi N, Morgan RK, Lein PJ, Seker E, J Neuroinflammation 2020, 17, 1, 1. 32393376 PMC7216677
- [32]Yang L, Zhou R, Tong Y, Chen P, Shen Y, Miao S, Liu X, Neurobiol Dis 2020, 140, 104814. 32087283
- [33]Bennett C, Mohammed F, Alvarez-Ciara A, Nguyen MA, Dietrich WD, Rajguru SM, Streit WJ, Prasad A, Biomaterials 2019, 188, 144. 30343257 PMC6300159
- [34]Oddo A, Peng B, Tong Z, Wei Y, Tong WY, Thissen H, Voelcker NH, Trends Biotechnol 2019, 37, 1295. 31130308
- [35]a) Cucullo L, Hossain M, Puvenna V, Marchi N, Janigro D, BMC Neurosci 2011, 12, 40; 21569296 PMC3103473 b) Wang X, Xu B, Xiang M, Yang X, Liu Y, Liu X, Shen Y, Microvasc Res 2020, 128, 103930. 31639383
- [36]Fernandes DC, Reis RL, Oliveira JM, Drug Discov Today 2021, 26, 754. 33202252
- [37]Guo LM, Miao YQ, Wang Y, Zhang Y, Zhou EF, Wang JY, Zhao YQ, Li LJ, Wang AH, Gan Y, Zhang XX, Advanced Functional Materials 2022, 32, 2204822.
- [38]a) Pham Ba VA, Han YM, Cho Y, Kim T, Lee BY, Kim JS, Hong S, ACS Appl Mater Interfaces 2018, 10, 17100; 29701994 b) Yun SW, Son YH, Lee DY, Shin YJ, Han MJ, Kim DH, Food Funct 2021, 12, 2489; 33656499 c) Lee BC, Lee JY, Kim J, Yoo JM, Kang I, Kim JJ, Shin N, Kim DJ, Choi SW, Kim D, Hong BH, Kang KS, Sci Adv 2020, 6, eaaz2630. 32494673 PMC7190325
- [39]a) Petrovskaya A, Tverskoi A, Medvedeva A, Nazarova M, Communications Biology 2023, 6, 416; 37059824 PMC10104838 b) Wang Q, Zheng J, Pettersson S, Reynolds R, Tan E-K, Science advances 2023, 9, eabq1141. 36791205 PMC9931221
- [40]Yuan Z, Wu JS, Fu ZX, Meng SY, Dai LL, Cai KY, Advanced Functional Materials 2022, 32, 2200374.
- [42]a) Zhao N, Guo Z, Kulkarni S, Norman D, Zhang S, Chung TD, Nerenberg RF, Linville R, Searson P, Adv Funct Mater 2022, 32, 2110289; 36312050 PMC9610437 b) Ahn M, Cho WW, Kim BS, Cho DW, Advanced Functional Materials 2022, 32, 2200203.
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- Authors
- Choi, J., Choi, H. K., & Lee, K.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Lee, Ki‐Bum
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2023-09
- Volume
- 33
- Issue
- 46
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- PMC
- PMC11412436
- OpenAlex
- W4386391647
- Cited by
- 21
- References
- 85
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 5
- FWCI
- 1.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Advanced Functional Materials (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (CBET‐1803517)
- New Jersey Commission on Spinal Cord Research (CSCR17IRG010, CSCR16ERG019)
- Alzheimer's Association (CSCR22ERG023)
- National Heart, Lung, and Blood Institute (U01HL150852)
- National Research Foundation of Korea (NRF‐2022R1C1C1008797)
- National Institutes of Health (R21AR071101, 1R01DC016612, 3R01DC016612‐01S1, 5R01DC016612‐02S1, T32EB005583)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Keywords
- neuroinflammation, neurovascular unit, in situ detection, graphene oxide, inflammatory cytokines, alternative to animal models, drug screening, neurodegenerative diseases, blood-brain barrier
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