Table 2.
Uses of in vitro NVU models to study CNS disease pathogenesis
| Disease | In vitro NVU Model | Major Findings | Reference |
|---|---|---|---|
| Alzheimer’s Disease | Microfluidic NVU model with hCMEC/D3 and control or AD ReN human neural progenitor cell cells | BBB dysfunctions were present in AD models, including increased permeability, reduced tight junction protein expression, increased MMP2 and reactive oxygen species and deposition of amyloid at the vascular endothelium. | [46] |
| Isogenic APOE3 and APOE4 iPSC-derived vascular organoid model | Dysregulation of calcineurin–NFAT signaling and APOE in pericyte-like mural cells induced APOE4-associated pathology. | [19] | |
| Three-dimensional bioengineered vessel NVU model | ApoE and HDL synergized to facilitate Aβ transport across the endothelial cell barrier. ApoE4 was less efficient than ApoE2 in promoting Aβ transport. | [56] | |
| iPSC-derived Transwell NVU model | Aβ and neuroinflammation signals increased IgG uptake and transport in the model. | [57] | |
| Mouse brain endothelial cell Transwell model | Aβ1–42 induced tight junction damage and BBB leakage in bEnd.3 Transwell model. RAGE played an important role in the process. | [58] | |
| Primary mouse brain capillary endothelial cell Transwell model | Basolateral recombinant ApoJ and apical ApoA1 facilitated the transport of basolateral Aβ1–40 in this model. | [59] | |
| Rat brain microvascular endothelial cells | Exposure to Aβ25–35 disrupted tight junctions, increased BBB permeability, decreased cell viability in this model. | [60] | |
| hCMEC/D3 Transwell model | hCMEC/D3 cells had limited utility in studying Aβ trafficking due to the low barrier tightness of this model. | [61] | |
| Parkinson’s Disease | Microfluidic NVU model with iPSCdopaminergic neurons, iPSC-derived BMEC-like cells, and primary human astrocytes, microglia, and pericytes | α-Synuclein fibril treatment induced key aspects of Parkinson’s disease phenotypes, including accumulation of pSer129-αSyn, mitochondrial impairment, neuroinflammation, and increased BBB permeability. | [48] |
| hCMEC/D3 Transwell model | α-Synuclein pre-formed fibrils impaired tight junction protein expression in endothelial cells. | [47] | |
| Rat cerebral microvessel endothelial cells and C6 astroglial cells Transwell model | PD drug FLZ was effluxed by P-gp in rat cerebral microvessel endothelial cells. | [62] | |
| Primary rat brain endothelial cells and pericytes Transwell model | Pericytes were more sensitive to monomeric α-synuclein than endothelial cells regarding release of inflammatory cytokines and MMP-9 in this model. | [63] | |
| Viral Infection | Microfluidic NVU model with hCMEC/D3 cells | SARS-CoV-2 spike protein S1 triggered a pro-inflammatory response and promotes loss of barrier integrity in this model. | [49] |
| iPSC-pericyte-likecell-containing cortical organoid | Pericyte-like cells integrated into the cortical organoid were infected with SARS-CoV-2, and served as viral replication hubs. | [64] | |
| hCMEC/D3 Transwell model | Zika virus infected hCMEC/D3 cells without disrupting BBB permeability and tight junction protein expression, and the virus was subsequently released on the brain side. | [65] | |
| iPSC-derived Transwell NVU model | Zika virus infected iPSC-derived BMEC-like cells without disrupting BBB permeability and tight junction protein expression, and was subsequently released on the brain side. | [50] | |
| Primary human brain microvascular endothelial cells Transwell model | West Nile virus infected primary human BMECs, leading to increased permeability, increased leukocyte adhesion and transmigration across the in vitro model. | [66] |