CoChat
Sign Up
Cited by 34

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

In Vitro Models of Biological Barriers for Nanomedical Research

Carton, Flavia, Malatesta, Manuela·2022·International Journal of Molecular Sciences
DOI 10.3390/ijms23168910PMC PMC9408841
Open this paper in CoChat — free account

Abstract

Nanoconstructs developed for biomedical purposes must overcome diverse biological barriers before reaching the target where playing their therapeutic or diagnostic function. In vivo models are very complex and unsuitable to distinguish the roles plaid by the multiple biological barriers on nanoparticle biodistribution and effect; in addition, they are costly, time-consuming and subject to strict ethical regulation. For these reasons, simplified in vitro models are preferred, at least for the earlier phases of the nanoconstruct development. Many in vitro models have therefore been set up. Each model has its own pros and cons: conventional 2D cell cultures are simple and cost-effective, but the information remains limited to single cells; cell monolayers allow the formation of cell–cell junctions and the assessment of nanoparticle translocation across structured barriers but they lack three-dimensionality; 3D cell culture systems are more appropriate to test in vitro nanoparticle biodistribution but they are static; finally, bioreactors and microfluidic devices can mimicking the physiological flow occurring in vivo thus providing in vitro biological barrier models suitable to reliably assess nanoparticles relocation. In this evolving context, the present review provides an overview of the most representative and performing in vitro models of biological barriers set up for nanomedical research.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijms23168910

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Schematic drawing of an in vitro 2D barrier model made of a culture well with a cell culture insert. Nanoparticles are administered in the medium in the cell insert and monitored for their passage to the lower chamber through the cell monolayer.
Figure 1 Schematic drawing of an in vitro 2D barrier model made of a culture well with a cell culture insert. Nanoparticles are administered in the medium in the cell insert and monitored for their passage to the lower chamber through the cell monolayer.CC BY · PubMed Central
Figure 2 Schematic drawing of an in vitro 3D barrier model. Nanoparticles are administered in the medium and monitored for their penetration into the spheroid.
Figure 2 Schematic drawing of an in vitro 3D barrier model. Nanoparticles are administered in the medium and monitored for their penetration into the spheroid.CC BY · PubMed Central
Figure 3 Schematic drawing of an in vitro barrier model under fluid dynamic conditions. Despite the high heterogeneity of devices described in the literature, the design is in principle the same for bioreactors and microfluidics. Nanoparticles are administered through the inlet chamber, move to the cells in the upper channel due to the flowing medium, and cross the cell monolayer toward the lower channel.
Figure 3 Schematic drawing of an in vitro barrier model under fluid dynamic conditions. Despite the high heterogeneity of devices described in the literature, the design is in principle the same for bioreactors and microfluidics. Nanoparticles are administered through the inlet chamber, move to the cells in the upper channel due to the flowing medium, and cross the cell monolayer toward the lower channel.CC BY · PubMed Central

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 8 references

Research works printed but not linked: 132

  1. Weber, 1999, Nanomedicine, Health Forum J., 42, 36
  2. Codullo, 2019, Imatinib-Loaded Gold Nanoparticles Inhibit Proliferation of Fibroblasts and Macrophages from Systemic Sclerosis Patients and Ameliorate Experimental Bleomycin-Induced Lung Fibrosis, J. Control Release, 310, 198, 10.1016/j.jconrel.2019.08.015 · DOI
  3. Inchaurraga, 2019, The Effect of Thiamine-Coating Nanoparticles on Their Biodistribution and Fate Following Oral Administration, Eur. J. Pharm. Sci., 128, 81, 10.1016/j.ejps.2018.11.025 · DOI
  4. Ak, 2021, An Intravenous Application of Magnetic Nanoparticles for Osteomyelitis Treatment: An Efficient Alternative, Int. J. Pharm., 592, 119999, 10.1016/j.ijpharm.2020.119999 · DOI
  5. Arango, 2021, Fluorine Labeling of Nanoparticles and In Vivo 19F Magnetic Resonance Imaging, ACS Appl. Mater. Interfaces, 13, 12941, 10.1021/acsami.1c01291 · DOI
  6. Changsan, 2021, Dry Powder Inhalation Formulation of Chitosan Nanoparticles for Co-Administration of Isoniazid and Pyrazinamide, Pharm. Dev. Technol., 26, 181, 10.1080/10837450.2020.1852570 · DOI
  7. Costanzo, M., Esposito, E., Sguizzato, M., Lacavalla, M.A., Drechsler, M., Valacchi, G., Zancanaro, C., and Malatesta, M. (2021). Formulative Study and Intracellular Fate Evaluation of Ethosomes and Transethosomes for Vitamin D3 Delivery. Int. J. Mol. Sci., 22. · DOI
  8. Zou, 2021, Accelerating Transdermal Delivery of Insulin by Ginsenoside Nanoparticles with Unique Permeability, Int. J. Pharm., 605, 120784, 10.1016/j.ijpharm.2021.120784 · DOI
  9. Albanese, 2012, The Effect of Nanoparticle Size, Shape, and Surface Chemistry on Biological Systems, Annu. Rev. Biomed. Eng., 14, 1, 10.1146/annurev-bioeng-071811-150124 · DOI
  10. Malatesta, M. (2021). Transmission Electron Microscopy as a Powerful Tool to Investigate the Interaction of Nanoparticles with Subcellular Structures. Int. J. Mol. Sci., 22. · DOI
  11. Gamboa, 2013, In Vitro and in Vivo Models for the Study of Oral Delivery of Nanoparticles, Adv. Drug Deliv. Rev., 65, 800, 10.1016/j.addr.2013.01.003 · DOI
  12. Trickler, 2014, Porcine Brain Microvessel Endothelial Cells Show Pro-Inflammatory Response to the Size and Composition of Metallic Nanoparticles, Drug Metab. Rev., 46, 224, 10.3109/03602532.2013.873450 · DOI
  13. Pashaiasl, 2019, Application of Nanomaterials in Three-Dimensional Stem Cell Culture, J. Cell Biochem., 120, 18550, 10.1002/jcb.29133 · DOI
  14. Van Zundert, I., Fortuni, B., and Rocha, S. (2020). From 2D to 3D Cancer Cell Models-The Enigmas of Drug Delivery Research. Nanomaterials, 10. · DOI
  15. Giusti, 2014, A Novel Dual-Flow Bioreactor Simulates Increased Fluorescein Permeability in Epithelial Tissue Barriers, Biotechnol. J., 9, 1175, 10.1002/biot.201400004 · DOI
  16. Carton, 2017, Incubation under Fluid Dynamic Conditions Markedly Improves the Structural Preservation in Vitro of Explanted Skeletal Muscles, Eur. J. Histochem., 61, 2862
  17. Schmid, 2018, A Perfusion Bioreactor System for Cell Seeding and Oxygen-Controlled Cultivation of Three-Dimensional Cell Cultures, Tissue Eng. Part C Methods, 24, 585, 10.1089/ten.tec.2018.0204 · DOI
  18. Cappellozza, 2021, Integrated Microscopy and Metabolomics to Test an Innovative Fluid Dynamic System for Skin Explants In Vitro, Microsc. Microanal., 27, 923, 10.1017/S1431927621012010 · DOI
  19. Whitesides, 2006, The Origins and the Future of Microfluidics, Nature, 442, 368, 10.1038/nature05058 · DOI · Paper page
  20. Bhatia, 2014, Microfluidic Organs-on-Chips, Nat. Biotechnol., 32, 760, 10.1038/nbt.2989 · DOI · Paper page
  21. Pardridge, 2003, Blood-Brain Barrier Drug Targeting: The Future of Brain Drug Development, Mol. Interv., 3, 90, 10.1124/mi.3.2.90 · DOI · Paper page
  22. Abbott, 2010, Structure and Function of the Blood–Brain Barrier, Neurobiol. Dis., 37, 13, 10.1016/j.nbd.2009.07.030 · DOI · Paper page
  23. Hirrlinger, 2010, The Cytosolic Redox State of Astrocytes: Maintenance, Regulation and Functional Implications for Metabolite Trafficking, Brain Res. Rev., 63, 177, 10.1016/j.brainresrev.2009.10.003 · DOI
  24. Scheiber, 2013, Astrocyte Functions in the Copper Homeostasis of the Brain, Neurochem. Int., 62, 556, 10.1016/j.neuint.2012.08.017 · DOI
  25. Zhang, 2021, Development of Polymeric Nanoparticles for Blood-Brain Barrier Transfer-Strategies and Challenges, Adv. Sci., 8, 2003937, 10.1002/advs.202003937 · DOI · Paper page
  26. Bowman, 1983, Brain Microvessel Endothelial Cells in Tissue Culture: A Model for Study of Blood-Brain Barrier Permeability, Ann. Neurol., 14, 396, 10.1002/ana.410140403 · DOI
  27. Prades, 2012, Delivery of Gold Nanoparticles to the Brain by Conjugation with a Peptide That Recognizes the Transferrin Receptor, Biomaterials, 33, 7194, 10.1016/j.biomaterials.2012.06.063 · DOI
  28. Kuo, 2012, Methylmethacrylate–Sulfopropylmethacrylate Nanoparticles with Surface RMP-7 for Targeting Delivery of Antiretroviral Drugs across the Blood–Brain Barrier, Colloids Surf. B Biointerfaces, 90, 75, 10.1016/j.colsurfb.2011.09.048 · DOI
  29. Kuo, 2013, Solid Lipid Nanoparticles Carrying Chemotherapeutic Drug across the Blood-Brain Barrier through Insulin Receptor-Mediated Pathway, J. Drug Target., 21, 730, 10.3109/1061186X.2013.812094 · DOI
  30. Lu, 2005, Cationic Albumin Conjugated Pegylated Nanoparticle with Its Transcytosis Ability and Little Toxicity against Blood–Brain Barrier, Int. J. Pharm., 295, 247, 10.1016/j.ijpharm.2005.01.043 · DOI
  31. Tian, 2012, In Vitro and in Vivo Studies on Gelatin-Siloxane Nanoparticles Conjugated with SynB Peptide to Increase Drug Delivery to the Brain, Int. J. Nanomed., 7, 1031
  32. Gil, 2005, A Relevant in Vitro Rat Model for the Evaluation of Blood-Brain Barrier Translocation of Nanoparticles, Cell Mol. Life Sci., 62, 1400, 10.1007/s00018-005-5094-3 · DOI
  33. Grover, 2014, Brain-Targeted Delivery of Docetaxel by Glutathione-Coated Nanoparticles for Brain Cancer, AAPS PharmSciTech, 15, 1562, 10.1208/s12249-014-0165-0 · DOI
  34. Heggannavar, 2019, Preparation of Transferrin-Conjugated Poly-ε-Caprolactone Nanoparticles and Delivery of Paclitaxel to Treat Glioblastoma across Blood–Brain Barrier, Emergent Mater., 2, 463, 10.1007/s42247-019-00033-9 · DOI
  35. Kiss, 2018, Niosomes Decorated with Dual Ligands Targeting Brain Endothelial Transporters Increase Cargo Penetration across the Blood-Brain Barrier, Eur. J. Pharm. Sci., 123, 228, 10.1016/j.ejps.2018.07.042 · DOI
  36. Hanada, 2014, Cell-Based in Vitro Blood–Brain Barrier Model Can Rapidly Evaluate Nanoparticles’ Brain Permeability in Association with Particle Size and Surface Modification, Int. J. Mol. Sci., 15, 1812, 10.3390/ijms15021812 · DOI
  37. Xu, 2015, Silver Nanoparticles Induce Tight Junction Disruption and Astrocyte Neurotoxicity in a Rat Blood-Brain Barrier Primary Triple Coculture Model, Int. J. Nanomed., 10, 6105
  38. Bergmann, 2018, Blood–Brain-Barrier Organoids for Investigating the Permeability of CNS Therapeutics, Nat. Protoc., 13, 2827, 10.1038/s41596-018-0066-x · DOI
  39. Hudecz, 2020, Ultrathin Silicon Membranes for in Situ Optical Analysis of Nanoparticle Translocation across a Human Blood–Brain Barrier Model, ACS Nano, 14, 1111, 10.1021/acsnano.9b08870 · DOI
  40. Gromnicova, R., Davies, H.A., Sreekanthreddy, P., Romero, I.A., Lund, T., Roitt, I.M., Phillips, J.B., and Male, D.K. (2013). Glucose-Coated Gold Nanoparticles Transfer across Human Brain Endothelium and Enter Astrocytes In Vitro. PLoS ONE, 8. · DOI
  41. Sokolova, 2020, Transport of Ultrasmall Gold Nanoparticles (2 Nm) across the Blood–Brain Barrier in a Six-Cell Brain Spheroid Model, Sci. Rep., 10, 18033, 10.1038/s41598-020-75125-2 · DOI
  42. Papademetriou, I., Vedula, E., Charest, J., and Porter, T. (2018). Effect of Flow on Targeting and Penetration of Angiopep-Decorated Nanoparticles in a Microfluidic Model Blood-Brain Barrier. PLoS ONE, 13. · DOI
  43. Englert, 2016, Crossing the Blood-Brain Barrier: Glutathione-Conjugated Poly(Ethylene Imine) for Gene Delivery, J. Control Release, 241, 1, 10.1016/j.jconrel.2016.08.039 · DOI
  44. Falanga, 2017, Shuttle-Mediated Nanoparticle Transport across an in Vitro Brain Endothelium under Flow Conditions, Biotechnol. Bioeng., 114, 1087, 10.1002/bit.26221 · DOI
  45. Nowak, 2020, Size, Shape, and Flexibility Influence Nanoparticle Transport across Brain Endothelium under Flow, Bioeng Transl Med., 5, e10153, 10.1002/btm2.10153 · DOI
  46. Salman, 2020, Design and Validation of a Human Brain Endothelial Microvessel-on-a-Chip Open Microfluidic Model Enabling Advanced Optical Imaging, Front. Bioeng. Biotechnol., 8, 573775, 10.3389/fbioe.2020.573775 · DOI
  47. Peng, 2020, In Situ Surface Modification of Microfluidic Blood–Brain-Barriers for Improved Screening of Small Molecules and Nanoparticles, ACS Appl. Mater. Interfaces, 12, 56753, 10.1021/acsami.0c17102 · DOI
  48. Lee, 2020, Modeling Nanocarrier Transport across a 3D In Vitro Human Blood-Brain–Barrier Microvasculature, Adv. Healthc. Mater., 9, 1901486, 10.1002/adhm.201901486 · DOI
  49. Tricinci, 2020, A 3D Biohybrid Real-Scale Model of the Brain Cancer Microenvironment for Advanced In Vitro Testing, Adv. Mater. Technol., 5, 2000540, 10.1002/admt.202000540 · DOI
  50. Anderson, 2020, The Tumor Microenvironment, Curr. Biol., 30, R921, 10.1016/j.cub.2020.06.081 · DOI · Paper page
  51. Abreu, 2021, In Vitro and In Vivo Tumor Models for the Evaluation of Anticancer Nanoparticles, Adv. Exp. Med. Biol., 1295, 271, 10.1007/978-3-030-58174-9_12 · DOI
  52. Du, 2015, Core-Cross-Linking Accelerates Antitumor Activities of Paclitaxel–Conjugate Micelles to Prostate Multicellular Tumor Spheroids: A Comparison of 2D and 3D Models, Biomacromolecules, 16, 1470, 10.1021/acs.biomac.5b00282 · DOI
  53. Rane, T.D., and Armani, A.M. (2016). Two-Photon Microscopy Analysis of Gold Nanoparticle Uptake in 3D Cell Spheroids. PLoS ONE, 11. · DOI
  54. Lugert, 2019, Cellular Effects of Paclitaxel-Loaded Iron Oxide Nanoparticles on Breast Cancer Using Different 2D and 3D Cell Culture Models, Int. J. Nanomed., 14, 161, 10.2147/IJN.S187886 · DOI
  55. Kostarelos, 2004, Binding and Interstitial Penetration of Liposomes within Avascular Tumor Spheroids, Int. J. Cancer, 112, 713, 10.1002/ijc.20457 · DOI · Paper page
  56. Huang, 2012, Size-Dependent Localization and Penetration of Ultrasmall Gold Nanoparticles in Cancer Cells, Multicellular Spheroids, and Tumors In Vivo, ACS Nano, 6, 4483, 10.1021/nn301282m · DOI
  57. Kim, 2010, The Delivery of Doxorubicin to 3-D Multicellular Spheroids and Tumors in a Murine Xenograft Model Using Tumor-Penetrating Triblock Polymeric Micelles, Biomaterials, 31, 7386, 10.1016/j.biomaterials.2010.06.004 · DOI
  58. Wang, 2013, Doxorubicin Delivery to 3D Multicellular Spheroids and Tumors Based on Boronic Acid-Rich Chitosan Nanoparticles, Biomaterials, 34, 4667, 10.1016/j.biomaterials.2013.03.008 · DOI
  59. Wojnilowicz, 2018, Glycogen-Nucleic Acid Constructs for Gene Silencing in Multicellular Tumor Spheroids, Biomaterials, 176, 34, 10.1016/j.biomaterials.2018.05.024 · DOI
  60. Gibot, 2014, Polymeric Micelles Encapsulating Photosensitizer: Structure/Photodynamic Therapy Efficiency Relation, Biomacromolecules, 15, 1443, 10.1021/bm5000407 · DOI
  61. Cantisani, 2015, Biocompatible Nanoparticles Sensing the Matrix Metallo-Proteinase 2 for the on-Demand Release of Anticancer Drugs in 3D Tumor Spheroids, Colloids Surf. B Biointerfaces, 135, 707, 10.1016/j.colsurfb.2015.08.016 · DOI
  62. Moreira, 2017, Thermo- and PH-Responsive Nano-in-Micro Particles for Combinatorial Drug Delivery to Cancer Cells, Eur. J. Pharm. Sci., 104, 42, 10.1016/j.ejps.2017.03.033 · DOI
  63. Sims, 2017, Distribution of PLGA-Modified Nanoparticles in 3D Cell Culture Models of Hypo-Vascularized Tumor Tissue, J. Nanobiotechnol., 15, 67, 10.1186/s12951-017-0298-x · DOI
  64. Goodman, 2007, Increased Nanoparticle Penetration in Collagenase-Treated Multicellular Spheroids, Int. J. Nanomed., 2, 265
  65. Ho, 2012, Penetration of Endothelial Cell Coated Multicellular Tumor Spheroids by Iron Oxide Nanoparticles, Theranostics, 2, 66, 10.7150/thno.3568 · DOI
  66. Priwitaningrum, 2016, Tumor Stroma-Containing 3D Spheroid Arrays: A Tool to Study Nanoparticle Penetration, J. Control Release, 244, 257, 10.1016/j.jconrel.2016.09.004 · DOI
  67. Xu, 2014, A Hydrogel-Based Tumor Model for the Evaluation of Nanoparticle-Based Cancer Therapeutics, Biomaterials, 35, 3319, 10.1016/j.biomaterials.2013.12.080 · DOI
  68. Belli, 2017, Dynamics of Nanoparticle Diffusion and Uptake in Three-Dimensional Cell Cultures, Colloids Surf. B Biointerfaces, 149, 7, 10.1016/j.colsurfb.2016.09.046 · DOI
  69. Biondi, 2013, Sub-100 Nm Biodegradable Nanoparticles: In Vitro Release Features and Toxicity Testing in 2D and 3D Cell Cultures, Nanotechnology, 24, 045101, 10.1088/0957-4484/24/4/045101 · DOI
  70. Le, 2016, A Collagen-Based Multicellular Tumor Spheroid Model for Evaluation of the Efficiency of Nanoparticle Drug Delivery, Artif. Cells Nanomed. Biotechnol., 44, 540, 10.3109/21691401.2014.968820 · DOI
  71. Brancato, 2017, 3D Tumor Microtissues as an in Vitro Testing Platform for Microenvironmentally-Triggered Drug Delivery Systems, Acta Biomater., 57, 47, 10.1016/j.actbio.2017.05.004 · DOI
  72. Ng, 2008, A Perfusable 3D Cell-Matrix Tissue Culture Chamber for in Situ Evaluation of Nanoparticle Vehicle Penetration and Transport, Biotechnol. Bioeng., 99, 1490, 10.1002/bit.21698 · DOI
  73. Kwak, 2014, Simulation of Complex Transport of Nanoparticles around a Tumor Using Tumor-Microenvironment-on-Chip, J. Control Release, 194, 157, 10.1016/j.jconrel.2014.08.027 · DOI · Paper page
  74. Yang, 2015, Evaluation of Photodynamic Therapy Efficiency Using an in Vitro Three-Dimensional Microfluidic Breast Cancer Tissue Model, Lab. Chip, 15, 735, 10.1039/C4LC01065E · DOI
  75. Tang, 2017, A Biomimetic Microfluidic Tumor Microenvironment Platform Mimicking the EPR Effect for Rapid Screening of Drug Delivery Systems, Sci. Rep., 7, 9359, 10.1038/s41598-017-09815-9 · DOI · Paper page
  76. Chen, 2018, A Novel 3D Breast-Cancer-on-Chip Platform for Therapeutic Evaluation of Drug Delivery Systems, Anal. Chim. Acta, 1036, 97, 10.1016/j.aca.2018.06.038 · DOI
  77. Wang, 2020, Tumor-Microenvironment-on-a-Chip for Evaluating Nanoparticle-Loaded Macrophages for Drug Delivery, ACS Biomater. Sci. Eng., 6, 5040, 10.1021/acsbiomaterials.0c00650 · DOI
  78. McCormick, 2021, Measuring Nanoparticle Penetration Through Bio-Mimetic Gels, Int. J. Nanomed., 16, 2585, 10.2147/IJN.S292131 · DOI
  79. Kim, 2014, Probing Nanoparticle Translocation across the Permeable Endothelium in Experimental Atherosclerosis, Proc. Natl. Acad. Sci. USA, 111, 1078, 10.1073/pnas.1322725111 · DOI
  80. Kiew, 2017, Preparation and Characterization of an Amylase-Triggered Dextrin-Linked Graphene Oxide Anticancer Drug Nanocarrier and Its Vascular Permeability, Int. J. Pharm., 534, 297, 10.1016/j.ijpharm.2017.10.045 · DOI
  81. Ho, 2017, A Facile Method to Probe the Vascular Permeability of Nanoparticles in Nanomedicine Applications, Sci. Rep., 7, 707, 10.1038/s41598-017-00750-3 · DOI
  82. Moore, 2017, Cellular Shuttles: Monocytes/Macrophages Exhibit Transendothelial Transport of Nanoparticles under Physiological Flow, ACS Appl. Mater. Interfaces, 9, 18501, 10.1021/acsami.7b03479 · DOI
  83. Brown, 2019, Shape Effect in Active Targeting of Nanoparticles to Inflamed Cerebral Endothelium under Static and Flow Conditions, J. Control Release, 309, 94, 10.1016/j.jconrel.2019.07.026 · DOI
  84. Schuerle, 2019, Synthetic and Living Micropropellers for Convection-Enhanced Nanoparticle Transport, Sci. Adv., 5, eaav4803, 10.1126/sciadv.aav4803 · DOI
  85. Geys, 2006, In Vitro Study of the Pulmonary Translocation of Nanoparticles: A Preliminary Study, Toxicol. Lett., 160, 218, 10.1016/j.toxlet.2005.07.005 · DOI
  86. George, 2015, Development of an in Vitro Model of Human Bronchial Epithelial Barrier to Study Nanoparticle Translocation, Toxicol. Vitr., 29, 51, 10.1016/j.tiv.2014.08.003 · DOI
  87. Brandenberger, 2010, Effects and Uptake of Gold Nanoparticles Deposited at the Air-Liquid Interface of a Human Epithelial Airway Model, Toxicol. Appl. Pharm., 242, 56, 10.1016/j.taap.2009.09.014 · DOI
  88. Maarschalkerweerd, 2015, Toxicity Assessment of Aggregated/Agglomerated Cerium Oxide Nanoparticles in an in Vitro 3D Airway Model: The Influence of Mucociliary Clearance, Toxicol. Vitr., 29, 389, 10.1016/j.tiv.2014.10.017 · DOI
  89. Raemy, 2011, Cerium Oxide Nanoparticle Uptake Kinetics from the Gas-Phase into Lung Cells in Vitro Is Transport Limited, Eur. J. Pharm. Biopharm., 77, 368, 10.1016/j.ejpb.2010.11.017 · DOI
  90. Falavigna, M., Stein, P.C., Flaten, G.E., and Pio di Cagno, M. (2020). Impact of Mucin on Drug Diffusion: Development of a Straightforward In Vitro Method for the Determination of Drug Diffusivity in the Presence of Mucin. Pharmaceutics, 12. · DOI
  91. Huh, 2010, Reconstituting Organ-Level Lung Functions on a Chip, Science, 328, 1662, 10.1126/science.1188302 · DOI · Paper page
  92. Zhang, 2018, A 3D Human Lung-on-a-Chip Model for Nanotoxicity Testing, Toxicol. Res., 7, 1048, 10.1039/C8TX00156A · DOI
  93. Doryab, 2021, A Bioinspired in Vitro Lung Model to Study Particokinetics of Nano-/Microparticles Under Cyclic Stretch and Air-Liquid Interface Conditions, Front. Bioeng. Biotechnol., 9, 616830, 10.3389/fbioe.2021.616830 · DOI
  94. Di Tommaso, N., Gasbarrini, A., and Ponziani, F.R. (2021). Intestinal Barrier in Human Health and Disease. Int. J. Env. Res. Public Health, 18. · DOI
  95. Jin, 2012, Goblet Cell-Targeting Nanoparticles for Oral Insulin Delivery and the Influence of Mucus on Insulin Transport, Biomaterials, 33, 1573, 10.1016/j.biomaterials.2011.10.075 · DOI · Paper page
  96. Thomsen, 2014, Mucus Barrier-Triggered Disassembly of SiRNA Nanocarriers, Nanoscale, 6, 12547, 10.1039/C4NR01584C · DOI
  97. Jia, 2021, “Mucus-on-Chip”: A New Tool to Study the Dynamic Penetration of Nanoparticulate Drug Carriers into Mucus, Int. J. Pharm., 598, 120391, 10.1016/j.ijpharm.2021.120391 · DOI
  98. Ragnarsson, 2005, Transport of Nanoparticles across an in Vitro Model of the Human Intestinal Follicle Associated Epithelium, Eur. J. Pharm. Sci., 25, 455, 10.1016/j.ejps.2005.04.015 · DOI
  99. Fievez, 2007, An Improved in Vitro Model of Human Intestinal Follicle-Associated Epithelium to Study Nanoparticle Transport by M Cells, Eur. J. Pharm. Sci., 30, 380, 10.1016/j.ejps.2006.12.006 · DOI
  100. Kadiyala, 2010, Transport of Chitosan-DNA Nanoparticles in Human Intestinal M-Cell Model versus Normal Intestinal Enterocytes, Eur. J. Pharm. Sci., 39, 103, 10.1016/j.ejps.2009.11.002 · DOI
  101. Schimpel, 2014, Development of an Advanced Intestinal in Vitro Triple Culture Permeability Model to Study Transport of Nanoparticles, Mol. Pharm., 11, 808, 10.1021/mp400507g · DOI
  102. Jaradat, 2020, Prediction of the Enhanced Insulin Absorption across a Triple Co-Cultured Intestinal Model Using Mucus Penetrating PLGA Nanoparticles, Int. J. Pharm., 585, 119516, 10.1016/j.ijpharm.2020.119516 · DOI
  103. Brun, 2014, Titanium Dioxide Nanoparticle Impact and Translocation through Ex Vivo, In Vivo and In Vitro Gut Epithelia, Part Fibre Toxicol., 11, 13, 10.1186/1743-8977-11-13 · DOI
  104. Gullberg, 2006, Identification of Cell Adhesion Molecules in the Human Follicle-Associated Epithelium That Improve Nanoparticle Uptake into the Peyer’s Patches, J. Pharm. Exp., 319, 632, 10.1124/jpet.106.107847 · DOI
  105. Walczak, 2015, Translocation of Differently Sized and Charged Polystyrene Nanoparticles in in Vitro Intestinal Cell Models of Increasing Complexity, Nanotoxicology, 9, 453, 10.3109/17435390.2014.944599 · DOI
  106. Walczak, 2015, In Vitro Gastrointestinal Digestion Increases the Translocation of Polystyrene Nanoparticles in an in Vitro Intestinal Co-Culture Model, Nanotoxicology, 9, 886, 10.3109/17435390.2014.988664 · DOI
  107. Liang, 2022, Advances of Microfluidic Intestine-on-a-Chip for Analyzing Anti-Inflammation of Food, Crit. Rev. Food Sci. Nutr., 62, 4418, 10.1080/10408398.2021.1875395 · DOI
  108. Olaizola, 2022, Versatile Membrane-Based Microfluidic Platform for in Vitro Drug Diffusion Testing Mimicking in Vivo Environments, Nanomedicine, 39, 102462, 10.1016/j.nano.2021.102462 · DOI
  109. Wolf, 2010, 3D-Wound Healing Model: Influence of Morphine and Solid Lipid Nanoparticles, J. Biotechnol., 148, 24, 10.1016/j.jbiotec.2010.01.001 · DOI
  110. Hao, 2017, Epidermal Penetration of Gold Nanoparticles and Its Underlying Mechanism Based on Human Reconstructed 3D Episkin Model, ACS Appl. Mater. Interfaces, 9, 42577, 10.1021/acsami.7b13700 · DOI
  111. Bengalli, 2021, In Vitro Skin Toxicity of CuO and ZnO Nanoparticles: Application in the Safety Assessment of Antimicrobial Coated Textiles, NanoImpact, 21, 100282, 10.1016/j.impact.2020.100282 · DOI
  112. Jun, S.-H., Kim, H., Lee, H., Song, J.E., Park, S.G., and Kang, N.-G. (2021). Synthesis of Retinol-Loaded Lipid Nanocarrier via Vacuum Emulsification to Improve Topical Skin Delivery. Polymers, 13. · DOI
  113. Hou, 2017, Layer-by-Layer 3D Constructs of Fibroblasts in Hydrogel for Examining Transdermal Penetration Capability of Nanoparticles, SLAS Technol., 22, 447, 10.1177/2211068216655753 · DOI
  114. Han, 2020, Zinc Sulfide Nanoparticles Improve Skin Regeneration, Nanomedicine, 29, 102263, 10.1016/j.nano.2020.102263 · DOI
  115. McLaughlin, 2016, Sprayable Peptide-Modified Silver Nanoparticles as a Barrier against Bacterial Colonization, Nanoscale, 8, 19200, 10.1039/C6NR07976H · DOI
  116. Brodwolf, 2020, Faster, Sharper, More Precise: Automated Cluster-FLIM in Preclinical Testing Directly Identifies the Intracellular Fate of Theranostics in Live Cells and Tissue, Theranostics, 10, 6322, 10.7150/thno.42581 · DOI
  117. Zheng, 2019, Ag Modified Mesoporous Bioactive Glass Nanoparticles for Enhanced Antibacterial Activity in 3D Infected Skin Model, Mater. Sci. Eng. C Mater. Biol. Appl., 103, 109764, 10.1016/j.msec.2019.109764 · DOI
  118. Paterson, 2020, Multifunctional Copper-Containing Mesoporous Glass Nanoparticles as Antibacterial and Proangiogenic Agents for Chronic Wounds, Front. Bioeng. Biotechnol., 8, 246, 10.3389/fbioe.2020.00246 · DOI
  119. Wang, 2021, Biofilm-Infected Human Clusteroid Three-Dimensional Coculture Platform to Replace Animal Models in Testing Antimicrobial Nanotechnologies, ACS Appl. Mater. Interfaces, 13, 22182, 10.1021/acsami.1c02679 · DOI
  120. Carvalho, 2017, Co-Encapsulation of Paclitaxel and C6 Ceramide in Tributyrin-Containing Nanocarriers Improve Co-Localization in the Skin and Potentiate Cytotoxic Effects in 2D and 3D Models, Eur. J. Pharm. Sci., 109, 131, 10.1016/j.ejps.2017.07.023 · DOI
  121. Giacone, 2020, Effect of Nanoemulsion Modification with Chitosan and Sodium Alginate on the Topical Delivery and Efficacy of the Cytotoxic Agent Piplartine in 2D and 3D Skin Cancer Models, Int. J. Biol. Macromol., 165, 1055, 10.1016/j.ijbiomac.2020.09.167 · DOI
  122. Poulsen, 2015, Kinetics of silica nanoparticles in the human placenta, Nanotoxicology, 9, 79, 10.3109/17435390.2013.812259 · DOI
  123. Walker, 2015, The toxicity, transport and uptake of nanoparticles in the in vitro BeWo b30 placental cell barrier model used within NanoTEST, Nanotoxicology, 9, 66, 10.3109/17435390.2013.833317 · DOI
  124. Tutar, 2021, Modeling of Artificial 3D Human Placenta, Cells Tissues Organs, 10, 1
  125. Li, 2012, Effects of quantum dots on different renal proximal tubule cell models and on gel-free renal tubules generated in vitro, Nanotoxicology, 6, 121, 10.3109/17435390.2011.562326 · DOI
  126. Gozalpour, 2018, Current State of In vitro Cell-Based Renal Models, Curr. Drug Metab., 19, 310, 10.2174/1389200219666180119115133 · DOI
  127. Wang, 2020, Developing a self-organized tubulogenesis model of human renal proximal tubular epithelial cells in vitro, J. Biomed. Mater. Res. A, 108, 795, 10.1002/jbm.a.36858 · DOI
  128. Mitra, 2012, A novel in vitro three-dimensional retinoblastoma model for evaluating chemotherapeutic drugs, Mol. Vis., 18, 1361
  129. Jendelova, 2019, Deciphering retinal diseases through the generation of three dimensional stem cell-derived organoids: Concise Review, Stem Cells, 37, 1496, 10.1002/stem.3089 · DOI
  130. Oliveira, 2019, Establishment of a multilayered 3D cellular model of the retinal-blood barrier, Int. J. Pharm., 572, 118811, 10.1016/j.ijpharm.2019.118811 · DOI
  131. Kaluzhny, 2021, In vitro reconstructed 3D corneal tissue models for ocular toxicology and ophthalmic drug development, Vitr. Cell Dev. Biol. Anim., 57, 207, 10.1007/s11626-020-00533-7 · DOI
  132. Zirath, 2021, Bridging the Academic-Industrial Gap: Application of an Oxygen and PH Sensor-Integrated Lab-on-a-Chip in Nanotoxicology, Lab. Chip, 21, 4237, 10.1039/D1LC00528F · DOI

Cited by

Sorted by citations

See all 34

Metadata

Authors
Carton, F., & Malatesta, M.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2022-08-10
Volume
23
Issue
16
Pages
8910
ISSN
1422-0067
DOI
10.3390/ijms23168910
PMC
PMC9408841
Cited by
34
References
8
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: In Vitro Models of Biological Barriers for Nanomedical Research. https://app.cochat.ai/papers/10.3390/ijms23168910
The paper
Carton, F., & Malatesta, M. (2022). In Vitro Models of Biological Barriers for Nanomedical Research. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms23168910