A major obstacle for accelerating the development of new brain targeting biologics is the lack of high-throughput in vitro BBB models that are translatable to humans. Here, we bridged this gap by using a novel bioengineering approach relying on hydrogel-based patterned microcavity arrays to grow homogeneous organoids [
31,
40,
41]. Previous work established that BBB organoids recapitulate key properties of the BBB observed in vivo [
25,
26,
30] and constituted a major advance in the field. Specifically, organoid assembly increased expression of receptors involved in transcytosis, transporters, and tight junction proteins compared to a monoculture of endothelial cells [
24,
26,
27]. Furthermore, it was shown that BBB organoids assembled with hCMEC/D3 cells reproduced the expected permeability of angiopep-2 whereas the same cells grown in a transwell model failed to do so [
26]. Altogether, these data strongly suggested that BBB organoids are a superior alternative to BECs grown in a transwell configuration. Nevertheless, we need to stress that the fact that non-conjugated FITC accumulated within BBB organoids (Figure S1) suggests that further optimization is needed to fully recapitulate the low permeability of the BBB observed in vivo for small molecules [
42]. The model and workflow we developed confirms the key properties and functionality of BBB organoids and builds upon previous work by making substantial improvements to facilitate its widespread adoption for drug discovery. First, microwell arrays increased the BBB organoid yield more than 30 fold per experiment compared to previous protocols using agarose [
26,
30] or hanging-drop culture [
24,
25]. This yield increase is accompanied by a substantial reduction in experimental handling time, as hydrogel production can be automated [
31] and replaces manual preparation of individual plates [
30]. Second, BBB organoid formation in arrays was highly reproducible between independent experiments, whereas assembly in agarose resulted in inter-experimental variation of up to 40% in organoid size. Third, we used an automated image analysis script on confocal microscopy images to measure the accumulation of antibodies within organoids. This streamlined workflow enabled the measurement of nearly 10 times more organoids compared to previous studies [
25,
30]. This larger data set allowed us to robustly estimate the kinetics of human Brain Shuttle transcytosis. Interestingly, accumulation of human Brain Shuttle in BBB organoids reached a steady-state around 60 min (Fig.
3d), which could be the result of receptor saturation or the balance between transcytosis and efflux/recycling [
43,
44]. Via this workflow, various scenarios can be evaluated in more detailed mechanistic studies with the same in vitro platform. Fourth, the transport assay in BBB organoid arrays allows the characterization of native, non-labelled antibodies, whereas previous work measured BBB-transport of biologics using molecules that were covalently coupled with organic fluorophores [
18,
26]. While detection of fluorescent conjugates with microscopy requires no additional sample preparation, it does require the prior chemical labelling of each one of the molecules in the test set, which may not be feasible during lead identification and optimization phases. On the other hand, a limitation of detecting non-labelled antibodies by immunofluorescent labeling as done in this study is that it prevents absolute quantification of the amount of transcytosed molecules. Therefore, quantifying permeability coefficients for direct comparison with in vivo observations as done in studies with microfluidic platforms [
35,
45] is currently not possible with BBB organoids arrays. This could be overcome by using radiolabelled molecules or by performing antibody measurements from organoid lysates with analytical methods such as ELISA. However, unlike our approach of quantifying the 3D distribution of fluorescence intensity in organoids, these analytical methods cannot distinguish between antibodies bound at the surface and those that underwent transcytosis. Ultimately, this would overestimate the extent of transport across the BBB and yield false-positive hits during a screening campaign. Instead, we consider that combining single cell sorting with analytical methods as recently done in vivo [
46] could be a more promising strategy for absolute quantification in organoid models in the future. Altogether, we consider that these improvements make BBB organoid arrays an optimal platform for drug discovery to identify biologics that can cross the BBB in a scalable manner. The use of high-throughput human in vitro models of the BBB will advance translatability of early discovery work into the clinic.
The reproducibility and high sensitivity of the transport assay in BBB organoid arrays make them a useful tool to dissect the molecular mechanisms of transcytosis. We showed that CRISPR-based gene editing can be combined with BBB organoid arrays to evaluate the role of individual genes in receptor-mediated transcytosis. Therefore, this platform will enable the execution of functional large scale screens to identify novel regulators of transcytosis. As a first proof-of-concept we focused on well-characterized genes and investigated caveolin-1 depletion as it has been proposed to be a key regulator of transcytosis across the BBB [
20,
21,
47]. However, our data shows that clathrin, but not caveolin-1, is required for transferrin-receptor mediated transcytosis of a human Brain Shuttle. This finding supports the presence of multiple transcytosis pathways with different molecular machineries in brain endothelial cells [
48]. Overall, we consider this approach will be useful to evaluate whether different formats (e.g. bispecific antibodies, single domain antibodies, multivalent coated particles) or receptors utilize the same transport pathways across the BBB.