Abstract
The blood-brain barrier (BBB) restricts the paracellular diffusion of compounds into and out of the brain and is extremely important for maintaining brain homeostasis and proper neuronal function. The BBB is composed of multiple cell types arranged in a complex 3D structure that enables sophisticated interplay between endothelial cells, pericytes, glial cells, and neurons. This complex is known as the “neurovascular unit” (NVU). Several neuropathological conditions, including dementia and stroke which are two of the top ten causes of death worldwide, are associated with BBB dysfunction, but there is still often a lack of understanding of the underlying mechanisms and causal relationships. Representative, translatable preclinical models of the NVU are needed to facilitate a better mechanistic understanding of the relationship between BBB dysfunction and neurological diseases, which is critical for developing new treatments. They have the potential to be used to test the efficacy, toxicology, and delivery of drugs. A plethora of factors such as cell origin, co-culture, shear, substrate stiffness, substrate biochemical composition, 3D structure, etc. greatly affect BBB permeability and thus NVU integrity. Advancements in materials science, microfluidics, and fabrication techniques, for example, soft lithography and 3D bio-printing, have enabled increased control of pertinent factors leading to countless different configurations. Hence, the field has seen a gradual movement away from static models, where non-human cells are cultured in 2D in relatively rigid semi-permeable membranes made of PET or polycarbonate, toward dynamic organ-on-a-chip systems where multiple human NVU cell types are co-cultured under physiological shear in 3D tubular structures that recreate in vivo architecture using biomaterials found in native tissue with representative biomechanical properties and biochemical composition. Furthermore, models have been significantly enhanced by the incorporation of analytical technologies, including live cell imaging and TEER measurement, with further improvement possible using bioelectronics. However, several challenges still remain and applications in fields such as neuropsychiatry are still scarce. This chapter aims to discuss the importance and evolution of in vitro NVU models, key considerations, various configurations that have been developed, their main features, and the variety of fabrication methods that have been used to create them.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbott, N. J., Patabendige, A. A. K., Dolman, D. E. M., Yusof, S. R., & Begley, D. J. (2010). Structure and function of the blood-brain barrier. Neurobiology of Disease, 37, 13–25. https://doi.org/10.1016/j.nbd.2009.07.030
Abbott, N. J., Dolman, D. E. M., Drndarski, S., & Fredriksson, S. M. (2012). An improved in vitro blood-brain barrier model: Rat brain endothelial cells co-cultured with astrocytes. Methods in Molecular Biology, 814, 415–430. https://doi.org/10.1007/978-1-61779-452-0_28
Abdullahi, W., Tripathi, D., & Ronaldson, P. T. (2018). Blood-brain barrier dysfunction in ischemic stroke: Targeting tight junctions and transporters for vascular protection. American Journal of Physiology-Cell Physiology, 315, C343–C356. https://doi.org/10.1152/ajpcell.00095.2018
Achyuta, A. K. H., Conway, A. J., Crouse, R. B., Bannister, E. C., Lee, R. N., Katnik, C. P., Behensky, A. A., Cuevas, J., & Sundaram, S. S. (2013). A modular approach to create a neurovascular unit-on-a-chip. Lab on a Chip, 13, 542–553. https://doi.org/10.1039/c2lc41033h
Adriani, G., Ma, D., Pavesi, A., Kamm, R. D., & Goh, E. L. K. (2017). A 3D neurovascular microfluidic model consisting of neurons, astrocytes and cerebral endothelial cells as a blood–brain barrier. Lab on a Chip, 17, 448–459. https://doi.org/10.1039/C6LC00638H
Akhtar, A. (2015). The flaws and human harms of animal experimentation. Cambridge Quarterly of Healthcare Ethics, 24, 407–419. https://doi.org/10.1017/S0963180115000079
Alekseeva, O. S., Kirik, O. V., Gilerovich, E. G., & Korzhevskii, D. E. (2019). Microglia of the brain: Origin, structure, functions. Journal of Evolutionary Biochemistry and Physiology, 55, 257–268. https://doi.org/10.1134/S002209301904001X
Allt, G., & Lawrenson, J. G. (2001). Pericytes: Cell biology and pathology. Cells, Tissues, Organs, 169, 1–11. https://doi.org/10.1159/000047855
Antoine, E. E., Vlachos, P. P., & Rylander, M. N. (2014). Review of collagen I hydrogels for bioengineered tissue microenvironments: Characterization of mechanics, structure, and transport. Tissue Engineering. Part B, Reviews, 20, 683–696. https://doi.org/10.1089/ten.TEB.2014.0086
Apel, P. (2001). Track etching technique in membrane technology. In Radiation measurements, proceedings of the 20th international conference on nuclear tracks in solids (Vol. 34, pp. 559–566). https://doi.org/10.1016/S1350-4487(01)00228-1
Appelt-Menzel, A., Cubukova, A., Günther, K., Edenhofer, F., Piontek, J., Krause, G., Stüber, T., Walles, H., Neuhaus, W., & Metzger, M. (2017). Establishment of a human blood-brain barrier co-culture model mimicking the neurovascular unit using induced pluri- and multipotent stem cells. Stem Cell Reports, 8, 894–906. https://doi.org/10.1016/j.stemcr.2017.02.021
Argaw, A. T., Gurfein, B. T., Zhang, Y., Zameer, A., & John, G. R. (2009). VEGF-mediated disruption of endothelial CLN-5 promotes blood-brain barrier breakdown. PNAS, 106, 1977–1982. https://doi.org/10.1073/pnas.0808698106
Armulik, A., Genové, G., Mäe, M., Nisancioglu, M. H., Wallgard, E., Niaudet, C., He, L., Norlin, J., Lindblom, P., Strittmatter, K., Johansson, B. R., & Betsholtz, C. (2010). Pericytes regulate the blood–brain barrier. Nature, 468, 557–561. https://doi.org/10.1038/nature09522
Baeten, K. M., & Akassoglou, K. (2011). Extracellular matrix and matrix receptors in blood-brain barrier formation and stroke. Developmental Neurobiology, 71, 1018–1039. https://doi.org/10.1002/dneu.20954
Barber, A. J., & Lieth, E. (1997). Agrin accumulates in the brain microvascular basal lamina during development of the blood-brain barrier. Developmental Dynamics, 208, 62–74. https://doi.org/10.1002/(SICI)1097-0177(199701)208:1<62::AID-AJA6>3.0.CO;2-#
Barry, C., Schmitz, M. T., Propson, N. E., Hou, Z., Zhang, J., Nguyen, B. K., Bolin, J. M., Jiang, P., McIntosh, B. E., Probasco, M. D., Swanson, S., Stewart, R., Thomson, J. A., Schwartz, M. P., & Murphy, W. L. (2017). Uniform neural tissue models produced on synthetic hydrogels using standard culture techniques. Experimental Biology and Medicine (Maywood, N.J.), 242, 1679–1689. https://doi.org/10.1177/1535370217715028
Bauer, H.-C., Krizbai, I. A., Bauer, H., & Traweger, A. (2014). “You shall not pass” – Tight junctions of the blood brain barrier. Frontiers in Neuroscience, 0. https://doi.org/10.3389/fnins.2014.00392
Baumann, N., & Pham-Dinh, D. (2001). Biology of oligodendrocyte and myelin in the mammalian central nervous system. Physiological Reviews, 81, 871–927. https://doi.org/10.1152/physrev.2001.81.2.871
Bayir, E., Celtikoglu, M. M., & Sendemir, A. (2019). The use of bacterial cellulose as a basement membrane improves the plausibility of the static in vitro blood-brain barrier model. International Journal of Biological Macromolecules, 126, 1002–1013. https://doi.org/10.1016/j.ijbiomac.2018.12.257
Bhatia, S. N., & Ingber, D. E. (2014). Microfluidic organs-on-chips. Nature Biotechnology, 32, 760–772. https://doi.org/10.1038/nbt.2989
Bickel, U. (2005). How to measure drug transport across the blood-brain barrier. Neurotherapeutics, 2, 15–26. https://doi.org/10.1602/neurorx.2.1.15
Bischel, L. L., Coneski, P. N., Lundin, J. G., Wu, P. K., Giller, C. B., Wynne, J., Ringeisen, B. R., & Pirlo, R. K. (2016). Electrospun gelatin biopapers as substrate for in vitro bilayer models of blood-brain barrier tissue. Journal of Biomedical Materials Research. Part A, 104, 901–909. https://doi.org/10.1002/jbm.a.35624
Bonakdar, M., Graybill, P. M., & Davalos, R. V. (2017). A microfluidic model of the blood-brain barrier to study permeabilization by pulsed electric fields. RSC Advances, 7, 42811–42818. https://doi.org/10.1039/C7RA07603G
Booth, R., & Kim, H. (2012). Characterization of a microfluidic in vitro model of the blood-brain barrier (μBBB). Lab on a Chip, 12, 1784–1792. https://doi.org/10.1039/C2LC40094D
Bramini, M., Alberini, G., Colombo, E., Chiacchiaretta, M., DiFrancesco, M. L., Maya-Vetencourt, J. F., Maragliano, L., Benfenati, F., & Cesca, F. (2018). Interfacing graphene-based materials with neural cells. Frontiers in Systems Neuroscience, 12, 12. https://doi.org/10.3389/fnsys.2018.00012
Brown, J. A., Codreanu, S. G., Shi, M., Sherrod, S. D., Markov, D. A., Neely, M. D., Britt, C. M., Hoilett, O. S., Reiserer, R. S., Samson, P. C., McCawley, L. J., Webb, D. J., Bowman, A. B., McLean, J. A., & Wikswo, J. P. (2016). Metabolic consequences of inflammatory disruption of the blood-brain barrier in an organ-on-chip model of the human neurovascular unit. Journal of Neuroinflammation, 13, 306. https://doi.org/10.1186/s12974-016-0760-y
Buxboim, A., Rajagopal, K., Brown, A. E. X., & Discher, D. E. (2010). How deeply cells feel: Methods for thin gels. Journal of Physics. Condensed Matter, 22, 194116. https://doi.org/10.1088/0953-8984/22/19/194116
Cai, Z., Qiao, P.-F., Wan, C.-Q., Cai, M., Zhou, N.-K., & Li, Q. (2018). Role of blood-brain barrier in Alzheimer’s disease. Journal of Alzheimer’s Disease, 63, 1223–1234. https://doi.org/10.3233/JAD-180098
Campisi, M., Shin, Y., Osaki, T., Hajal, C., Chiono, V., & Kamm, R. D. (2018). 3D self-organized microvascular model of the human blood-brain barrier with endothelial cells, pericytes and astrocytes. Biomaterials, 180, 117–129. https://doi.org/10.1016/j.biomaterials.2018.07.014
Caporarello, N., D’Angeli, F., Cambria, M. T., Candido, S., Giallongo, C., Salmeri, M., Lombardo, C., Longo, A., Giurdanella, G., Anfuso, C. D., & Lupo, G. (2019). Pericytes in microvessels: From “mural” function to brain and retina regeneration. International Journal of Molecular Sciences, 20, E6351. https://doi.org/10.3390/ijms20246351
Casillo, S. M., Peredo, A. P., Perry, S. J., Chung, H. H., & Gaborski, T. R. (2017). Membrane pore spacing can modulate endothelial cell-substrate and cell-cell interactions. ACS Biomaterials Science & Engineering, 3, 243–248. https://doi.org/10.1021/acsbiomaterials.7b00055
Ceccarelli, J., & Putnam, A. J. (2014). Sculpting the blank slate: How fibrin’s support of vascularization can inspire biomaterial design. Acta Biomaterialia, 10, 1515–1523. https://doi.org/10.1016/j.actbio.2013.07.043
Cecchelli, R., Berezowski, V., Lundquist, S., Culot, M., Renftel, M., Dehouck, M.-P., & Fenart, L. (2007). Modelling of the blood–brain barrier in drug discovery and development. Nature Reviews Drug Discovery, 6, 650–661. https://doi.org/10.1038/nrd2368
Choublier, N., Müller, Y., Gomez Baisac, L., Laedermann, J., de Rham, C., Declèves, X., & Roux, A. (2021). Blood–brain barrier dynamic device with uniform shear stress distribution for microscopy and permeability measurements. Applied Sciences, 11, 5584. https://doi.org/10.3390/app11125584
Cucullo, L., Couraud, P.-O., Weksler, B., Romero, I.-A., Hossain, M., Rapp, E., & Janigro, D. (2007). Immortalized human brain endothelial cells and flow-based vascular modeling: A marriage of convenience for rational neurovascular studies. Journal of Cerebral Blood Flow & Metabolism. https://doi.org/10.1038/sj.jcbfm.9600525
Cucullo, L., Hossain, M., Puvenna, V., Marchi, N., & Janigro, D. (2011). The role of shear stress in blood-brain barrier endothelial physiology. BMC Neuroscience, 12, 40. https://doi.org/10.1186/1471-2202-12-40
Cummings, J. (2018). Lessons learned from Alzheimer disease: Clinical trials with negative outcomes. Clinical and Translational Science, 11, 147–152. https://doi.org/10.1111/cts.12491
Curto, V. F., Marchiori, B., Hama, A., Pappa, A.-M., Ferro, M. P., Braendlein, M., Rivnay, J., Fiocchi, M., Malliaras, G. G., Ramuz, M., & Owens, R. M. (2017). Organic transistor platform with integrated microfluidics for in-line multi-parametric in vitro cell monitoring. Microsystems & Nanoengineering, 3, 17028. https://doi.org/10.1038/micronano.2017.28
Deosarkar, S. P., Prabhakarpandian, B., Wang, B., Sheffield, J. B., Krynska, B., & Kiani, M. F. (2015). A novel dynamic neonatal blood-brain barrier on a chip. PLoS One, 10, e0142725. https://doi.org/10.1371/journal.pone.0142725
DeStefano, J. G., Xu, Z. S., Williams, A. J., Yimam, N., & Searson, P. C. (2017). Effect of shear stress on iPSC-derived human brain microvascular endothelial cells (dhBMECs). Fluids and Barriers of the CNS, 14, 20. https://doi.org/10.1186/s12987-017-0068-z
Elbakary, B., & Badhan, R. K. S. (2020). A dynamic perfusion based blood-brain barrier model for cytotoxicity testing and drug permeation. Scientific Reports, 10, 3788. https://doi.org/10.1038/s41598-020-60689-w
Erickson, M. A., Wilson, M. L., & Banks, W. A. (2020). In vitro modeling of blood–brain barrier and interface functions in neuroimmune communication. Fluids and Barriers of the CNS, 17, 26. https://doi.org/10.1186/s12987-020-00187-3
Eugenin, E. A., Clements, J. E., Zink, M. C., & Berman, J. W. (2011). Human immunodeficiency virus infection of human astrocytes disrupts blood-brain barrier integrity by a gap junction-dependent mechanism. The Journal of Neuroscience, 31, 9456–9465. https://doi.org/10.1523/JNEUROSCI.1460-11.2011
Fabbro, A., Scaini, D., León, V., Vázquez, E., Cellot, G., Privitera, G., Lombardi, L., Torrisi, F., Tomarchio, F., Bonaccorso, F., Bosi, S., Ferrari, A.C., Ballerini, L. & Prato, M. (2016). Graphene-based interfaces do not alter target nerve cells. ACS Nano 10, 615–623. https://doi.org/10.1021/acsnano.5b05647
Falanga, A. P., Pitingolo, G., Celentano, M., Cosentino, A., Melone, P., Vecchione, R., Guarnieri, D., & Netti, P. A. (2017). Shuttle-mediated nanoparticle transport across an in vitro brain endothelium under flow conditions. Biotechnology and Bioengineering, 114, 1087–1095. https://doi.org/10.1002/bit.26221
Furihata, T., Kawamatsu, S., Ito, R., Saito, K., Suzuki, S., Kishida, S., Saito, Y., Kamiichi, A., & Chiba, K. (2015). Hydrocortisone enhances the barrier properties of HBMEC/ciβ, a brain microvascular endothelial cell line, through mesenchymal-to-endothelial transition-like effects. Fluids and Barriers of the CNS, 12, 7. https://doi.org/10.1186/s12987-015-0003-0
Gaston, J. D., Bischel, L. L., Fitzgerald, L. A., Cusick, K. D., Ringeisen, B. R., & Pirlo, R. K. (2017). Gene expression changes in long-term in vitro human blood-brain barrier models and their dependence on a transwell scaffold material. Journal of Healthcare Engineering, 2017, e5740975. https://doi.org/10.1155/2017/5740975
Geraghty, R. J., Capes-Davis, A., Davis, J. M., Downward, J., Freshney, R. I., Knezevic, I., Lovell-Badge, R., Masters, J. R. W., Meredith, J., Stacey, G. N., Thraves, P., & Vias, M. (2014). Guidelines for the use of cell lines in biomedical research. British Journal of Cancer, 111, 1021–1046. https://doi.org/10.1038/bjc.2014.166
Gerigk, M., Bulstrode, H., Shi, H. H., Tönisen, F., Cerutti, C., Morrison, G., Rowitch, D., & Huang, Y. Y. S. (2021). On-chip perivascular niche supporting stemness of patient-derived glioma cells in a serum-free, flowable culture. Lab on a Chip, 21, 2343–2358. https://doi.org/10.1039/d1lc00271f
Gesemann, M., Brancaccio, A., Schumacher, B., & Ruegg, M. A. (1998). Agrin is a high-affinity binding protein of dystroglycan in non-muscle tissue. The Journal of Biological Chemistry, 273, 600–605. https://doi.org/10.1074/jbc.273.1.600
Gray, K. M., & Stroka, K. M. (2017). Vascular endothelial cell mechanosensing: New insights gained from biomimetic microfluidic models. Seminars in Cell & Developmental Biology, 71, 106–117. https://doi.org/10.1016/j.semcdb.2017.06.002
Gray, K. M., Katz, D. B., Brown, E. G., & Stroka, K. M. (2019). Quantitative phenotyping of cell-cell junctions to evaluate ZO-1 presentation in brain endothelial cells. Annals of Biomedical Engineering, 47, 1675–1687. https://doi.org/10.1007/s10439-019-02266-5
Griep, L. M., Wolbers, F., de Wagenaar, B., ter Braak, P. M., Weksler, B. B., Romero, I. A., Couraud, P. O., Vermes, I., van der Meer, A. D., & van den Berg, A. (2013). BBB ON CHIP: Microfluidic platform to mechanically and biochemically modulate blood-brain barrier function. Biomedical Microdevices, 15, 145–150. https://doi.org/10.1007/s10544-012-9699-7
Grifno, G. N., Farrell, A. M., Linville, R. M., Arevalo, D., Kim, J. H., Gu, L., & Searson, P. C. (2019). Tissue-engineered blood-brain barrier models via directed differentiation of human induced pluripotent stem cells. Scientific Reports, 9, 13957. https://doi.org/10.1038/s41598-019-50193-1
Grimpe, B., Probst, J. C., & Hager, G. (1999). Suppression of nidogen-1 translation by antisense targeting affects the adhesive properties of cultured astrocytes. Glia, 28, 138–149. https://doi.org/10.1002/(sici)1098-1136(199911)28:2<138::aid-glia5>3.0.co;2-8
Hajal, C., Le Roi, B., Kamm, R. D., & Maoz, B. M. (2021). Biology and models of the blood–brain barrier. Annual Review of Biomedical Engineering, 23, 359–384. https://doi.org/10.1146/annurev-bioeng-082120-042814
Helms, H. C., Abbott, N. J., Burek, M., Cecchelli, R., Couraud, P.-O., Deli, M. A., Förster, C., Galla, H. J., Romero, I. A., Shusta, E. V., Stebbins, M. J., Vandenhaute, E., Weksler, B., & Brodin, B. (2016). In vitro models of the blood–brain barrier: An overview of commonly used brain endothelial cell culture models and guidelines for their use. Journal of Cerebral Blood Flow and Metabolism, 36, 862–890. https://doi.org/10.1177/0271678X16630991
Herland, A., van der Meer, A. D., FitzGerald, E. A., Park, T.-E., Sleeboom, J. J. F., & Ingber, D. E. (2016). Distinct contributions of astrocytes and pericytes to neuroinflammation identified in a 3D human blood-brain barrier on a chip. PLoS One, 11, e0150360. https://doi.org/10.1371/journal.pone.0150360
Hollmann, E. K., Bailey, A. K., Potharazu, A. V., Neely, M. D., Bowman, A. B., & Lippmann, E. S. (2017). Accelerated differentiation of human induced pluripotent stem cells to blood–brain barrier endothelial cells. Fluids and Barriers of the CNS, 14, 9. https://doi.org/10.1186/s12987-017-0059-0
Hom, S., Egleton, R. D., Huber, J. D., & Davis, T. P. (2001). Effect of reduced flow on blood-brain barrier transport systems. Brain Research, 890, 38–48. https://doi.org/10.1016/s0006-8993(00)03027-4
Hong, N., & Nam, Y. (2020). Thermoplasmonic neural chip platform for in situ manipulation of neuronal connections in vitro. Nature Communications, 11, 6313. https://doi.org/10.1038/s41467-020-20060-z
Hoosain, F. G., Choonara, Y. E., Tomar, L. K., Kumar, P., Tyagi, C., du Toit, L. C., & Pillay, V. (2015). Bypassing P-glycoprotein drug efflux mechanisms: Possible applications in pharmacoresistant schizophrenia therapy. BioMed Research International, 2015, e484963. https://doi.org/10.1155/2015/484963
Hribar, K. C., Meggs, K., Liu, J., Zhu, W., Qu, X., & Chen, S. (2015). Three-dimensional direct cell patterning in collagen hydrogels with near-infrared femtosecond laser. Scientific Reports, 5, 17203. https://doi.org/10.1038/srep17203
Huerta, M., Rivnay, J., Ramuz, M., Hama, A., & Owens, R. M. (2016). Early detection of nephrotoxicity in vitro using a transparent conducting polymer device. Applied In Vitro Toxicology, 2, 17–25. https://doi.org/10.1089/aivt.2015.0028
Iadecola, C. (2017). The neurovascular unit coming of age: A journey through neurovascular coupling in health and disease. Neuron, 96, 17–42. https://doi.org/10.1016/j.neuron.2017.07.030
Ingber, D. E. (2002). Mechanical signaling and the cellular response to extracellular matrix in angiogenesis and cardiovascular physiology. Circulation Research, 91, 877–887. https://doi.org/10.1161/01.res.0000039537.73816.e5
Ito, R., Umehara, K., Suzuki, S., Kitamura, K., Nunoya, K., Yamaura, Y., Imawaka, H., Izumi, S., Wakayama, N., Komori, T., Anzai, N., Akita, H., & Furihata, T. (2019). A human immortalized cell-based blood–brain barrier triculture model: Development and characterization as a promising tool for drug−brain permeability studies. Molecular Pharmaceutics, 16, 4461–4471. https://doi.org/10.1021/acs.molpharmaceut.9b00519
Javadi, M., Gu, Q., Naficy, S., Farajikhah, S., Crook, J. M., Wallace, G. G., Beirne, S., & Moulton, S. E. (2018). Conductive tough hydrogel for bioapplications. Macromolecular Bioscience, 18, 1700270. https://doi.org/10.1002/mabi.201700270
Jiang, X., Andjelkovic, A. V., Zhu, L., Yang, T., Bennett, M. V. L., Chen, J., Keep, R. F., & Shi, Y. (2018). Blood-brain barrier dysfunction and recovery after ischemic stroke. Progress in Neurobiology, Neurobiology of Stroke: Advances, Challenges, and Future Directions, 163–164, 144–171. https://doi.org/10.1016/j.pneurobio.2017.10.001
Johnson, W., Onuma, O., Owolabi, M., & Sachdev, S. (2016). Stroke: A global response is needed. Bulletin of the World Health Organization, 94, 634–634A. https://doi.org/10.2471/BLT.16.181636
Johnson, R. H., Kho, D. T., O’Carroll, S. J., Angel, C. E., & Graham, E. S. (2018). The functional and inflammatory response of brain endothelial cells to toll-like receptor agonists. Scientific Reports, 8, 10102. https://doi.org/10.1038/s41598-018-28518-3
José Barbosa, D., Paulo Capela, J., de Lourdes Bastos, M., & Carvalho, F. (2015). In vitro models for neurotoxicology research. Toxicology Research, 4, 801–842. https://doi.org/10.1039/C4TX00043A
Joseph, J. S., Malindisa, S. T., & Ntwasa, M. (2018). Two-dimensional (2D) and three-dimensional (3D) cell culturing in drug discovery, cell culture. IntechOpen. https://doi.org/10.5772/intechopen.81552
Kaisar, M. A., Sajja, R. K., Prasad, S., Abhyankar, V. V., Liles, T., & Cucullo, L. (2017). New experimental models of the blood-brain barrier for CNS drug discovery. Expert Opinion on Drug Discovery, 12, 89–103. https://doi.org/10.1080/17460441.2017.1253676
Karki, P., & Birukova, A. A. (2018). Substrate stiffness-dependent exacerbation of endothelial permeability and inflammation: Mechanisms and potential implications in ALI and PH (2017 Grover conference series). Pulmonary Circulation, 8, 2045894018773044. https://doi.org/10.1177/2045894018773044
Katt, M. E., Linville, R. M., Mayo, L. N., Xu, Z. S., & Searson, P. C. (2018). Functional brain-specific microvessels from iPSC-derived human brain microvascular endothelial cells: The role of matrix composition on monolayer formation. Fluids Barriers CNS, 15, 7. https://doi.org/10.1186/s12987-018-0092-7
Khodagholy, D., Doublet, T., Quilichini, P., Gurfinkel, M., Leleux, P., Ghestem, A., Ismailova, E., Hervé, T., Sanaur, S., Bernard, C., & Malliaras, G. G. (2013). In vivo recordings of brain activity using organic transistors. Nature Communications, 4, 1575. https://doi.org/10.1038/ncomms2573
Kim, M. Y., Li, D. J., Pham, L. K., Wong, B. G., & Hui, E. E. (2014). Microfabrication of high-resolution porous membranes for cell culture. Journal of Membrane Science, 452, 460–469. https://doi.org/10.1016/j.memsci.2013.11.034
Kim, J. A., Kim, H. N., Im, S.-K., Chung, S., Kang, J. Y., & Choi, N. (2015). Collagen-based brain microvasculature model in vitro using three-dimensional printed template. Biomicrofluidics, 9, 024115. https://doi.org/10.1063/1.4917508
Kim, M.-H., Kim, D., & Sung, J. H. (2021). A gut-brain axis-on-a-chip for studying transport across epithelial and endothelial barriers. Journal of Industrial and Engineering Chemistry, 101, 126–134. https://doi.org/10.1016/j.jiec.2021.06.021
Kose, N., Asashima, T., Muta, M., Iizasa, H., Sai, Y., Terasaki, T., & Nakashima, E. (2007). Altered expression of basement membrane-related molecules in rat brain pericyte, endothelial, and astrocyte cell lines after transforming growth factor-beta1 treatment. Drug Metabolism and Pharmacokinetics, 22, 255–266. https://doi.org/10.2133/dmpk.22.255
Kovalevich, J., & Langford, D. (2013). Considerations for the use of SH-SY5Y neuroblastoma cells in neurobiology. Methods in Molecular Biology, 1078, 9–21. https://doi.org/10.1007/978-1-62703-640-5_2
Kuhn, S., Gritti, L., Crooks, D., & Dombrowski, Y. (2019). Oligodendrocytes in development, myelin generation and beyond. Cells, 8, 1424. https://doi.org/10.3390/cells8111424
Kuhnke, D., Jedlitschky, G., Grube, M., Krohn, M., Jucker, M., Mosyagin, I., Cascorbi, I., Walker, L. C., Kroemer, H. K., Warzok, R. W., & Vogelgesang, S. (2007). MDR1-P-glycoprotein (ABCB1) mediates transport of alzheimer’s amyloid-β peptides – Implications for the mechanisms of Aβ clearance at the blood–brain barrier. Brain Pathology, 17, 347–353. https://doi.org/10.1111/j.1750-3639.2007.00075.x
Lauridsen, H. M., & Gonzalez, A. L. (2017). Biomimetic, ultrathin and elastic hydrogels regulate human neutrophil extravasation across endothelial-pericyte bilayers. PLoS One, 12, e0171386. https://doi.org/10.1371/journal.pone.0171386
Lazear, H. M., Daniels, B. P., Pinto, A. K., Huang, A. C., Vick, S. C., Doyle, S. E., Gale, M., Klein, R. S., & Diamond, M. S. (2015). Interferon-λ restricts West Nile virus neuroinvasion by tightening the blood-brain barrier. Science Translational Medicine, 7, 284ra59-284ra59. https://doi.org/10.1126/scitranslmed.aaa4304
Lee, S., Chung, M., Lee, S.-R., & Jeon, N. L. (2020). 3D brain angiogenesis model to reconstitute functional human blood–brain barrier in vitro. Biotechnology and Bioengineering, 117, 748–762. https://doi.org/10.1002/bit.27224
Lemma, E., Rizzi, F., Dattoma, T., Spagnolo, B., Sileo, L., Qualtieri, A., Vittorio, M., & Pisanello, F. (2016). Mechanical properties tunability of three-dimensional polymeric structures in two-photon lithography. IEEE Transactions on Nanotechnology, 1–1. https://doi.org/10.1109/TNANO.2016.2625820
Lepelletier, F.-X., Mann, D. M. A., Robinson, A. C., Pinteaux, E., & Boutin, H. (2017). Early changes in extracellular matrix in Alzheimer’s disease. Neuropathology and Applied Neurobiology, 43, 167–182. https://doi.org/10.1111/nan.12295
Levental, I., Georges, P. C., & Janmey, P. A. (2007). Soft biological materials and their impact on cell function. Soft Matter, 3, 299–306. https://doi.org/10.1039/B610522J
Li, Q., & Barres, B. A. (2018). Microglia and macrophages in brain homeostasis and disease. Nature Reviews Immunology, 18, 225–242. https://doi.org/10.1038/nri.2017.125
Lippmann, E. S., Azarin, S. M., Kay, J. E., Nessler, R. A., Wilson, H. K., Al-Ahmad, A., Palecek, S. P., & Shusta, E. V. (2012). Human blood-brain barrier endothelial cells derived from pluripotent stem cells. Nature Biotechnology, 30, 783–791. https://doi.org/10.1038/nbt.2247
Lippmann, E. S., Al-Ahmad, A., Azarin, S. M., Palecek, S. P., & Shusta, E. V. (2014). A retinoic acid-enhanced, multicellular human blood-brain barrier model derived from stem cell sources. Scientific Reports, 4, 4160. https://doi.org/10.1038/srep04160
Lipps, C., Klein, F., Wahlicht, T., Seiffert, V., Butueva, M., Zauers, J., Truschel, T., Luckner, M., Köster, M., MacLeod, R., Pezoldt, J., Hühn, J., Yuan, Q., Müller, P. P., Kempf, H., Zweigerdt, R., Dittrich-Breiholz, O., Pufe, T., Beckmann, R., Drescher, W., Riancho, J., Sañudo, C., Korff, T., Opalka, B., Rebmann, V., Göthert, J. R., Alves, P. M., Ott, M., Schucht, R., Hauser, H., Wirth, D., & May, T. (2018). Expansion of functional personalized cells with specific transgene combinations. Nature Communications, 9. https://doi.org/10.1038/s41467-018-03408-4
Liu, X., Su, P., Meng, S., Aschner, M., Cao, Y., Luo, W., Zheng, G., & Liu, M. (2017). Role of matrix metalloproteinase-2/9 (MMP2/9) in lead-induced changes in an in vitro blood-brain barrier model. International Journal of Biological Sciences, 13, 1351–1360. https://doi.org/10.7150/ijbs.20670
Low, L. A., Mummery, C., Berridge, B. R., Austin, C. P., & Tagle, D. A. (2021). Organs-on-chips: Into the next decade. Nature Reviews. Drug Discovery, 20, 345–361. https://doi.org/10.1038/s41573-020-0079-3
Ma, S. H., Lepak, L. A., Hussain, R. J., Shain, W., & Shuler, M. L. (2005). An endothelial and astrocyte co-culture model of the blood–brain barrier utilizing an ultra-thin, nanofabricated silicon nitride membrane. Lab on a Chip, 5, 74–85. https://doi.org/10.1039/B405713A
Maherally, Z., Fillmore, H. L., Tan, S. L., Tan, S. F., Jassam, S. A., Quack, F. I., Hatherell, K. E., & Pilkington, G. J. (2017). Real-time acquisition of transendothelial electrical resistance in an all-human, in vitro, 3-dimensional, blood–brain barrier model exemplifies tight-junction integrity. The FASEB Journal, 32, 168–182. https://doi.org/10.1096/fj.201700162R
Mantione, D., del Agua, I., Schaafsma, W., Diez-Garcia, J., Castro, B., Sardon, H., & Mecerreyes, D. (2016). Poly(3,4-ethylenedioxythiophene): GlycosAminoGlycan aqueous dispersions: Toward electrically conductive bioactive materials for neural interfaces. Macromolecular Bioscience, 16, 1227–1238. https://doi.org/10.1002/mabi.201600059
Maoz, B. M., Herland, A., FitzGerald, E. A., Grevesse, T., Vidoudez, C., Pacheco, A. R., Sheehy, S. P., Park, T.-E., Dauth, S., Mannix, R., Budnik, N., Shores, K., Cho, A., Nawroth, J. C., Segrè, D., Budnik, B., Ingber, D. E., & Parker, K. K. (2018). A linked organ-on-chip model of the human neurovascular unit reveals the metabolic coupling of endothelial and neuronal cells. Nature Biotechnology, 36, 865–874. https://doi.org/10.1038/nbt.4226
Marino, A., Tricinci, O., Battaglini, M., Filippeschi, C., Mattoli, V., Sinibaldi, E., & Ciofani, G. (2018). A 3D real-scale, biomimetic, and biohybrid model of the blood-brain barrier fabricated through two-photon lithography. Small, 14. https://doi.org/10.1002/smll.201702959
Marino, A., Baronio, M., Buratti, U., Mele, E., & Ciofani, G. (2021). Porous optically transparent cellulose acetate scaffolds for biomimetic blood-brain Barrierin vitro models. Frontiers in Bioengineering and Biotechnology, 9, 66. https://doi.org/10.3389/fbioe.2021.630063
McConnell, H. L., Kersch, C. N., Woltjer, R. L., & Neuwelt, E. A. (2017). The translational significance of the neurovascular unit*. Journal of Biological Chemistry, 292, 762–770. https://doi.org/10.1074/jbc.R116.760215
McCoy, M. G., Seo, B. R., Choi, S., & Fischbach, C. (2016). Collagen I hydrogel microstructure and composition conjointly regulate vascular network formation. Acta Biomaterialia, 44, 200–208. https://doi.org/10.1016/j.actbio.2016.08.028
McKee, C., & Chaudhry, G. R. (2017). Advances and challenges in stem cell culture. Colloids and Surfaces B: Biointerfaces, 159, 62–77. https://doi.org/10.1016/j.colsurfb.2017.07.051
Modarres, H. P., Janmaleki, M., Novin, M., Saliba, J., El-Hajj, F., RezayatiCharan, M., Seyfoori, A., Sadabadi, H., Vandal, M., Nguyen, M. D., Hasan, A., & Sanati-Nezhad, A. (2018). In vitro models and systems for evaluating the dynamics of drug delivery to the healthy and diseased brain. Journal of Controlled Release, 273, 108–130. https://doi.org/10.1016/j.jconrel.2018.01.024
Morgan, S. V., Garwood, C. J., Jennings, L., Simpson, J. E., Castelli, L. M., Heath, P. R., Mihaylov, S. R., Vaquéz-Villaseñor, I., Minshull, T. C., Ince, P. G., Dickman, M. J., Hautbergue, G. M., & Wharton, S. B. (2018). Proteomic and cellular localisation studies suggest non-tight junction cytoplasmic and nuclear roles for occludin in astrocytes. European Journal of Neuroscience, 47, 1444–1456. https://doi.org/10.1111/ejn.13933
Moya, M. L., Triplett, M., Simon, M., Alvarado, J., Booth, R., Osburn, J., Soscia, D., Qian, F., Fischer, N. O., Kulp, K., & Wheeler, E. K. (2020). A reconfigurable in vitro model for studying the blood–brain barrier. Annals of Biomedical Engineering, 48, 780–793. https://doi.org/10.1007/s10439-019-02405-y
Moysidou, C.-M., Pitsalidis, C., Al-Sharabi, M., Withers, A. M., Zeitler, J. A., & Owens, R. M. (2021). 3D bioelectronic model of the human intestine. Advanced Biology, 5, 2000306. https://doi.org/10.1002/adbi.202000306
Nayak, D., Roth, T. L., & McGavern, D. B. (2014). Microglia development and function. Annual Review of Immunology, 32, 367–402. https://doi.org/10.1146/annurev-immunol-032713-120240
Neumaier, F., Zlatopolskiy, B. D., & Neumaier, B. (2021). Drug penetration into the central nervous system: Pharmacokinetic concepts and in vitro model systems. Pharmaceutics, 13, 1542. https://doi.org/10.3390/pharmaceutics13101542
Ohshima, M., Kamei, S., Fushimi, H., Mima, S., Yamada, T., & Yamamoto, T. (2019). Prediction of drug permeability using in vitro blood–brain barrier models with human induced pluripotent stem cell-derived brain microvascular endothelial cells. BioResearch Open Access. https://doi.org/10.1089/biores.2019.0026
Oldendorf, W. H. (1971). Brain uptake of radiolabeled amino acids, amines, and hexoses after arterial injection. The American Journal of Physiology, 221, 1629–1639. https://doi.org/10.1152/ajplegacy.1971.221.6.1629
Page, S., Munsell, A., & Al-Ahmad, A. J. (2016). Cerebral hypoxia/ischemia selectively disrupts tight junctions complexes in stem cell-derived human brain microvascular endothelial cells. Fluids and Barriers of the CNS, 13, 16. https://doi.org/10.1186/s12987-016-0042-1
Park, R., Kook, S.-Y., Park, J.-C., & Mook-Jung, I. (2014). Aβ1–42 reduces P-glycoprotein in the blood–brain barrier through RAGE–NF-κB signaling. Cell Death & Disease, 5, e1299. https://doi.org/10.1038/cddis.2014.258
Park, T.-E., Mustafaoglu, N., Herland, A., Hasselkus, R., Mannix, R., FitzGerald, E. A., Prantil-Baun, R., Watters, A., Henry, O., Benz, M., Sanchez, H., McCrea, H. J., Goumnerova, L. C., Song, H. W., Palecek, S. P., Shusta, E., & Ingber, D. E. (2019). Hypoxia-enhanced blood-brain barrier chip recapitulates human barrier function and shuttling of drugs and antibodies. Nature Communications, 10, 2621. https://doi.org/10.1038/s41467-019-10588-0
Partyka, P. P., Godsey, G. A., Galie, J. R., Kosciuk, M. C., Acharya, N. K., Nagele, R. G., & Galie, P. A. (2017). Mechanical stress regulates transport in a compliant 3D model of the blood-brain barrier. Biomaterials, 115, 30–39. https://doi.org/10.1016/j.biomaterials.2016.11.012
Pas, J., Pitsalidis, C., Koutsouras, D. A., Quilichini, P. P., Santoro, F., Cui, B., Gallais, L., O’Connor, R. P., Malliaras, G. G., & Owens, R. M. (2018). Neurospheres on patterned PEDOT:PSS microelectrode arrays enhance electrophysiology recordings. Advanced Biosystems, 2, 1700164. https://doi.org/10.1002/adbi.201700164
Patabendige, A., Skinner, R. A., & Abbott, N. J. (2013). Establishment of a simplified in vitro porcine blood–brain barrier model with high transendothelial electrical resistance. Brain Research, 1521, 1–15. https://doi.org/10.1016/j.brainres.2012.06.057
Pazhanimala, S. K., Vllasaliu, D., & Raimi-Abraham, B. T. (2019). Electrospun nanometer to micrometer scale biomimetic synthetic membrane scaffolds in drug delivery and tissue engineering: A review. Applied Sciences, 9, 910. https://doi.org/10.3390/app9050910
Pellowe, A. S., Lauridsen, H. M., Matta, R., & Gonzalez, A. L. (2017). Ultrathin porated elastic hydrogels as a biomimetic basement membrane for dual cell culture. Journal of Visualized Experiments. https://doi.org/10.3791/56384
Pensabene V., Crowder S. W., Balikov D. A., Lee J. B. & Sung H. J. (2016). Optimization of electrospun fibrous membranes for in vitro modeling of blood-brain barrier. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 125–128. https://doi.org/10.1109/EMBC.2016.7590656
Pitsalidis, C., Ferro, M. P., Iandolo, D., Tzounis, L., Inal, S., & Owens, R. M. (2018). Transistor in a tube: A route to three-dimensional bioelectronics. Science. Advances, 4, eaat4253. https://doi.org/10.1126/sciadv.aat4253
Placone, A. F., McGuiggan, P. M., Bergles, D. E., Guerrero-Cazares, H., Quiñones-Hinojosa, A., & Searson, P. C. (2015). Human astrocytes develop physiological morphology and remain quiescent in a novel 3D matrix. Biomaterials, 42, 134–143. https://doi.org/10.1016/j.biomaterials.2014.11.046
Pöschl, E., Schlötzer-Schrehardt, U., Brachvogel, B., Saito, K., Ninomiya, Y., & Mayer, U. (2004). Collagen IV is essential for basement membrane stability but dispensable for initiation of its assembly during early development. Development, 131, 1619–1628. https://doi.org/10.1242/dev.01037
Potjewyd, G., Moxon, S., Wang, T., Domingos, M., & Hooper, N. M. (2018). Tissue engineering 3D neurovascular units: A biomaterials and bioprinting perspective. Trends in Biotechnology, 36, 457–472. https://doi.org/10.1016/j.tibtech.2018.01.003
Puryear, J. R., III, Yoon, J.-K., & Kim, Y. (2020). Advanced fabrication techniques of microengineered physiological systems. Micromachines, 11, 730. https://doi.org/10.3390/mi11080730
Qi, D., Wu, S., Lin, H., Kuss, M. A., Lei, Y., Krasnoslobodtsev, A., Ahmed, S., Zhang, C., Kim, H. J., Jiang, P., & Duan, B. (2018). Establishment of a human iPSC- and nanofiber-based microphysiological blood–brain barrier system. ACS Applied Materials & Interfaces, 10, 21825–21835. https://doi.org/10.1021/acsami.8b03962
Qian, T., Maguire, S. E., Canfield, S. G., Bao, X., Olson, W. R., Shusta, E. V., & Palecek, S. P. (2017). Directed differentiation of human pluripotent stem cells to blood-brain barrier endothelial cells. Science Advances, 3, e1701679. https://doi.org/10.1126/sciadv.1701679
Rahman, N. A., Rasil, A. N. H. M., Meyding-Lamade, U., Craemer, E. M., Diah, S., Tuah, A. A., & Muharram, S. H. (2016). Immortalized endothelial cell lines for in vitro blood–brain barrier models: A systematic review. Brain Research, 1642, 532–545. https://doi.org/10.1016/j.brainres.2016.04.024
Rascher, G., Fischmann, A., Kröger, S., Duffner, F., Grote, E.-H., & Wolburg, H. (2002). Extracellular matrix and the blood-brain barrier in glioblastoma multiforme: Spatial segregation of tenascin and agrin. Acta Neuropathologica, 104, 85–91. https://doi.org/10.1007/s00401-002-0524-x
Raut, B., Chen, L.-J., Hori, T., & Kaji, H. (2021). An open-source add-on EVOM® device for real-time transepithelial/endothelial electrical resistance measurements in multiple transwell samples. Micromachines, 12, 282. https://doi.org/10.3390/mi12030282
Rempe, R. G., Hartz, A. M. S., Soldner, E. L. B., Sokola, B. S., Alluri, S. R., Abner, E. L., Kryscio, R. J., Pekcec, A., Schlichtiger, J., & Bauer, B. (2018). Matrix metalloproteinase-mediated blood-brain barrier dysfunction in epilepsy. The Journal of Neuroscience, 38, 4301–4315. https://doi.org/10.1523/JNEUROSCI.2751-17.2018
Ribecco-Lutkiewicz, M., Sodja, C., Haukenfrers, J., Haqqani, A. S., Ly, D., Zachar, P., Baumann, E., Ball, M., Huang, J., Rukhlova, M., Martina, M., Liu, Q., Stanimirovic, D., Jezierski, A., & Bani-Yaghoub, M. (2018). A novel human induced pluripotent stem cell blood-brain barrier model: Applicability to study antibody-triggered receptor-mediated transcytosis. Scientific Reports, 8, 1873. https://doi.org/10.1038/s41598-018-19522-8
Risau, W., & Lemmon, V. (1988). Changes in the vascular extracellular matrix during embryonic vasculogenesis and angiogenesis. Developmental Biology, 125, 441–450. https://doi.org/10.1016/0012-1606(88)90225-4
Rivnay, J., Inal, S., Salleo, A., Owens, R. M., Berggren, M., & Malliaras, G. G. (2018). Organic electrochemical transistors. Nature Reviews Materials, 3, 17086. https://doi.org/10.1038/natrevmats.2017.86
Roberts, J., Kahle, M., & Bix, G. (2012). Perlecan and the blood-brain barrier: Beneficial proteolysis? Frontiers in Pharmacology, 3, 155. https://doi.org/10.3389/fphar.2012.00155
Rusanov, A., Luzgina, N., Barreto, G., Jr., & Aliev, G. (2015). Role of microfluidics in blood-brain barrier permeability cell culture modeling: Relevance to CNS disorders. CNS & Neurological Disorders Drug Targets, 15. https://doi.org/10.2174/1871527315666160202125304
Sen, S., Engler, A. J., & Discher, D. E. (2009). Matrix strains induced by cells: Computing how far cells can feel. Cellular and Molecular Bioengineering, 2, 39–48. https://doi.org/10.1007/s12195-009-0052-z
Simons, M., & Nave, K.-A. (2016). Oligodendrocytes: Myelination and axonal support. Cold Spring Harbor Perspectives in Biology, 8, a020479. https://doi.org/10.1101/cshperspect.a020479
Sixt, M., Engelhardt, B., Pausch, F., Hallmann, R., Wendler, O., & Sorokin, L. M. (2001). Endothelial cell laminin isoforms, laminins 8 and 10, play decisive roles in T cell recruitment across the blood-brain barrier in experimental autoimmune encephalomyelitis. The Journal of Cell Biology, 153, 933–946. https://doi.org/10.1083/jcb.153.5.933
Sloan, C. D. K., Nandi, P., Linz, T. H., Aldrich, J. V., Audus, K. L., & Lunte, S. M. (2012). Analytical and biological methods for probing the blood-brain barrier. Annual Review of Analytical Chemistry (Palo Alto Calif), 5, 505–531. https://doi.org/10.1146/annurev-anchem-062011-143002
Spira, M. E., & Hai, A. (2013). Multi-electrode array technologies for neuroscience and cardiology. Nature Nanotechnology, 8, 83–94. https://doi.org/10.1038/nnano.2012.265
Srinivasan, B., & Kolli, A. R. (2019). Transepithelial/transendothelial electrical resistance (TEER) to measure the integrity of blood-brain barrier (pp. 99–114). https://doi.org/10.1007/978-1-4939-8946-1
Srinivasan, B., Kolli, A. R., Esch, M. B., Abaci, H. E., Shuler, M. L., & Hickman, J. J. (2015). TEER measurement techniques for in vitro barrier model systems. Journal of Laboratory Automation, 20, 107–126. https://doi.org/10.1177/2211068214561025
Stone, D. M., & Nikolics, K. (1995). Tissue- and age-specific expression patterns of alternatively spliced agrin mRNA transcripts in embryonic rat suggest novel developmental roles. The Journal of Neuroscience, 15, 6767–6778.
Stone, N. L., England, T. J., & O’Sullivan, S. E. (2019). A novel transwell blood brain barrier model using primary human cells. Frontiers in Cellular Neuroscience, 13, 230. https://doi.org/10.3389/fncel.2019.00230
Stratman, A. N., Malotte, K. M., Mahan, R. D., Davis, M. J., & Davis, G. E. (2009). Pericyte recruitment during vasculogenic tube assembly stimulates endothelial basement membrane matrix formation. Blood, 114, 5091–5101. https://doi.org/10.1182/blood-2009-05-222364
Strazielle, N., & Ghersi-Egea, J.-F. (2015). Efflux transporters in blood-brain interfaces of the developing brain. Frontiers in Neuroscience, 9.
Sweeney, M. D., Ayyadurai, S., & Zlokovic, B. V. (2016). Pericytes of the neurovascular unit: Key functions and signaling pathways. Nature Neuroscience, 19, 771–783. https://doi.org/10.1038/nn.4288
Takeshita, Y., Obermeier, B., Cotleur, A., Sano, Y., Kanda, T., & Ransohoff, R. M. (2014). An in vitro blood–brain barrier model combining shear stress and endothelial cell/astrocyte co-culture. Journal of Neuroscience Methods, 232, 165–172. https://doi.org/10.1016/j.jneumeth.2014.05.013
Thomsen, M. S., Routhe, L. J., & Moos, T. (2017). The vascular basement membrane in the healthy and pathological brain. Journal of Cerebral Blood Flow and Metabolism, 37, 3300–3317. https://doi.org/10.1177/0271678X17722436
Tilling, T., Korte, D., Hoheisel, D., & Galla, H. J. (1998). Basement membrane proteins influence brain capillary endothelial barrier function in vitro. Journal of Neurochemistry, 71, 1151–1157. https://doi.org/10.1046/j.1471-4159.1998.71031151.x
Tilling, T., Engelbertz, C., Decker, S., Korte, D., Hüwel, S., & Galla, H.-J. (2002). Expression and adhesive properties of basement membrane proteins in cerebral capillary endothelial cell cultures. Cell and Tissue Research, 310, 19–29. https://doi.org/10.1007/s00441-002-0604-1
Topuz, F., & Uyar, T. (2017). Electrospinning of gelatin with tunable fiber morphology from round to flat/ribbon. Materials Science & Engineering. C, Materials for Biological Applications, 80, 371–378. https://doi.org/10.1016/j.msec.2017.06.001
Tóth, A. E., Tóth, A., Walter, F. R., Kiss, L., Veszelka, S., Ózsvári, B., Puskás, L. G., Heimesaat, M. M., Dohgu, S., Kataoka, Y., Rákhely, G., & Deli, M. A. (2014). Compounds blocking methylglyoxal-induced protein modification and brain endothelial injury. Archives of Medical Research, Specia Issue: Blood-Brain Barrier in Neurological Diseases, 45, 753–764. https://doi.org/10.1016/j.arcmed.2014.10.009
Tria, S. A., Jimison, L. H., Hama, A., Bongo, M., & Owens, R. M. (2013). Validation of the organic electrochemical transistor for in vitro toxicology. Biochimica et Biophysica Acta, 1830, 4381–4390. https://doi.org/10.1016/j.bbagen.2012.12.003
Tria, S. A., Ramuz, M., Huerta, M., Leleux, P., Rivnay, J., Jimison, L. H., Hama, A., Malliaras, G. G., & Owens, R. M. (2014). Dynamic monitoring of salmonella typhimurium infection of polarized epithelia using organic transistors. Advanced Healthcare Materials, 3, 1053–1060. https://doi.org/10.1002/adhm.201300632
Umehara, K., Sun, Y., Hiura, S., Hamada, K., Itoh, M., Kitamura, K., Oshima, M., Iwama, A., Saito, K., Anzai, N., Chiba, K., Akita, H., & Furihata, T. (2018). A new conditionally immortalized human fetal brain Pericyte cell line: Establishment and functional characterization as a promising tool for human brain pericyte studies. Molecular Neurobiology, 55, 5993–6006. https://doi.org/10.1007/s12035-017-0815-9
Uwamori, H., Higuchi, T., Arai, K., & Sudo, R. (2017). Integration of neurogenesis and angiogenesis models for constructing a neurovascular tissue. Scientific Reports, 7, 17349. https://doi.org/10.1038/s41598-017-17411-0
van der Helm, M. W., van der Meer, A. D., Eijkel, J. C. T., van den Berg, A., & Segerink, L. I. (2016). Microfluidic organ-on-chip technology for blood-brain barrier research. Tissue Barriers, 4, e1142493. https://doi.org/10.1080/21688370.2016.1142493
Van Norman, G. A. (2019a). Phase II trials in drug development and adaptive trial design. JACC: Basic to Translational Science, 4, 428–437. https://doi.org/10.1016/j.jacbts.2019.02.005
Van Norman, G. A. (2019b). Limitations of animal studies for predicting toxicity in clinical trials: Is it time to rethink our current approach? JACC: Basic to Translational Science, 4, 845–854. https://doi.org/10.1016/j.jacbts.2019.10.008
Vasile, F., Dossi, E., & Rouach, N. (2017). Human astrocytes: Structure and functions in the healthy brain. Brain Structure & Function, 222, 2017–2029. https://doi.org/10.1007/s00429-017-1383-5
Vigh, J. P., Kincses, A., Ozgür, B., Walter, F. R., Santa-Maria, A. R., Valkai, S., Vastag, M., Neuhaus, W., Brodin, B., Dér, A., & Deli, M. A. (2021). Transendothelial electrical resistance measurement across the blood–brain barrier: A critical review of methods. Micromachines, 12, 685. https://doi.org/10.3390/mi12060685
Vladimirsky, Y. (1999). 10 – Lithography. In J. A. R. Samson & D. L. Ederer (Eds.), Vacuum ultraviolet spectroscopy (pp. 205–223). Academic. https://doi.org/10.1016/B978-012617560-8/50032-3
von Bartheld, C. S., Bahney, J., & Herculano-Houzel, S. (2016). The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting. Journal of Comparative Neurology, 524, 3865–3895. https://doi.org/10.1002/cne.24040
Wake, H., Moorhouse, A. J., & Nabekura, J. (2011). Functions of microglia in the central nervous system – Beyond the immune response. Neuron Glia Biology, 7, 47–53. https://doi.org/10.1017/S1740925X12000063
Walter, F. R., Valkai, S., Kincses, A., Petneházi, A., Czeller, T., Veszelka, S., Ormos, P., Deli, M. A., & Dér, A. (2016). A versatile lab-on-a-chip tool for modeling biological barriers. Sensors and Actuators B: Chemical, 222, 1209–1219. https://doi.org/10.1016/j.snb.2015.07.110
Wang, J., & Milner, R. (2006). Fibronectin promotes brain capillary endothelial cell survival and proliferation through alpha5beta1 and alphavbeta3 integrins via MAP kinase signalling. Journal of Neurochemistry, 96, 148–159. https://doi.org/10.1111/j.1471-4159.2005.03521.x
Wang, Y. I., Abaci, H. E., & Shuler, M. L. (2017). Microfluidic blood-brain barrier model provides in vivo-like barrier properties for drug permeability screening. Biotechnology and Bioengineering, 114, 184–194. https://doi.org/10.1002/bit.26045
Weber, C. M., & Clyne, A. M. (2021). Sex differences in the blood–brain barrier and neurodegenerative diseases. APL Bioengineering, 5, 011509. https://doi.org/10.1063/5.0035610
Weksler, B., Romero, I. A., & Couraud, P.-O. (2013). The hCMEC/D3 cell line as a model of the human blood brain barrier. Fluids and Barriers of the CNS, 10, 16. https://doi.org/10.1186/2045-8118-10-16
Wevers, N. R., Kasi, D. G., Gray, T., Wilschut, K. J., Smith, B., van Vught, R., Shimizu, F., Sano, Y., Kanda, T., Marsh, G., Trietsch, S. J., Vulto, P., Lanz, H. L., & Obermeier, B. (2018). A perfused human blood–brain barrier on-a-chip for high-throughput assessment of barrier function and antibody transport. Fluids Barriers CNS, 15, 23. https://doi.org/10.1186/s12987-018-0108-3
World Health Organization. (2020). WHO | The top 10 causes of death. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
Williams-Medina, A., Deblock, M., & Janigro, D. (2021). In vitro models of the blood–brain barrier: Tools in translational medicine. Frontiers in Medical Technology, 2, 30. https://doi.org/10.3389/fmedt.2020.623950
Wolburg, H., Noell, S., Wolburg-Buchholz, K., Mack, A., & Fallier-Becker, P. (2009). Agrin, aquaporin-4, and astrocyte polarity as an important feature of the blood-brain barrier. The Neuroscientist, 15, 180–193. https://doi.org/10.1177/1073858408329509
Wong, A., Ye, M., Levy, A., Rothstein, J., Bergles, D., & Searson, P. (2013). The blood-brain barrier: An engineering perspective. Frontiers in Neuroengineering, 6, 7. https://doi.org/10.3389/fneng.2013.00007
Wu, Q., Liu, J., Wang, X., Feng, L., Wu, J., Zhu, X., Wen, W., & Gong, X. (2020). Organ-on-a-chip: Recent breakthroughs and future prospects. Biomedical Engineering Online, 19, 9. https://doi.org/10.1186/s12938-020-0752-0
Xiao, Y., Li, C. M., Wang, S., Shi, J., & Ooi, C. P. (2010). Incorporation of collagen in poly(3,4-ethylenedioxythiophene) for a bifunctional film with high bio- and electrochemical activity. Journal of Biomedical Materials Research Part A, 92A, 766–772. https://doi.org/10.1002/jbm.a.32412
Yu, X., Ji, C., & Shao, A. (2020). Neurovascular unit dysfunction and neurodegenerative disorders. Frontiers in Neuroscience, 14, 334. https://doi.org/10.3389/fnins.2020.00334
Yurchenco, P. D., & Patton, B. L. (2009). Developmental and pathogenic mechanisms of basement membrane assembly. Current Pharmaceutical Design, 15, 1277–1294. https://doi.org/10.2174/138161209787846766
Yurchenco, P. D., Amenta, P. S., & Patton, B. L. (2004). Basement membrane assembly, stability and activities observed through a developmental lens. Matrix Biology, 22, 521–538. https://doi.org/10.1016/j.matbio.2003.10.006
Zenaro, E., Piacentino, G., & Constantin, G. (2017). The blood-brain barrier in Alzheimer’s disease. Neurobiology of Disease, Brain Barriers in Health and Disease, 107, 41–56. https://doi.org/10.1016/j.nbd.2016.07.007
Zhang, J. (2019). Basic neural units of the brain: Neurons, synapses and action potential.
Zhang, Y., Ouyang, H., Lim, C. T., Ramakrishna, S., & Huang, Z.-M. (2005). Electrospinning of gelatin fibers and gelatin/PCL composite fibrous scaffolds. Journal of Biomedical Materials Research Part B: Applied Biomaterials, 72B, 156–165. https://doi.org/10.1002/jbm.b.30128
Zhang, Y., Kumar, P., Lv, S., Xiong, D., Zhao, H., Cai, Z., & Zhao, X. (2021). Recent advances in 3D bioprinting of vascularized tissues. Materials & Design, 199, 109398. https://doi.org/10.1016/j.matdes.2020.109398
Zheng, Y., Chen, J., Craven, M., Choi, N. W., Totorica, S., Diaz-Santana, A., Kermani, P., Hempstead, B., Fischbach-Teschl, C., López, J. A., & Stroock, A. D. (2012). In vitro microvessels for the study of angiogenesis and thrombosis. PNAS, 109, 9342–9347. https://doi.org/10.1073/pnas.1201240109
Zobel, K., Hansen, U., & Galla, H.-J. (2016). Blood-brain barrier properties in vitro depend on composition and assembly of endogenous extracellular matrices. Cell and Tissue Research, 365, 233–245. https://doi.org/10.1007/s00441-016-2397-7
Declaration of Interests
The authors declare no competing interests.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Mishra, Y., Saez, J., Owens, R.M. (2022). Configurable Models of the Neurovascular Unit. In: Nance, E. (eds) Engineering Biomaterials for Neural Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-11409-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-11409-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-11408-3
Online ISBN: 978-3-031-11409-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)