Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.04.13.648605

Generation of a Three-dimensional Human Neurovascular Unit Model in a Microfluidic Chip

Abstract

BackgroundThe well-functioning of the neurovascular unit (NVU) is supported by the 3D brain physiological microenvironment that allows for extensive neural-neural and neural-vascular interactions. This microenvironment is normally hard to create in traditional in-vitro models such as the transwell model. Organ-on-a-chip (OOC) emerges as advanced model systems by providing better physiological microenvironments. However, NVU modeling in many chip platforms has not met a full 3D condition for neural cultures. MethodsHere, we describe a novel NVU model generated in a microfluidic chip that reproduces the neural-neural and neural-vascular interactions in a full-3D format. The model features an extracellular matrix (ECM) environment that supports both a perfused brain endothelial vessel and 3D cultured neural cells (astrocytes and neurons) beside the tube. Culture conditions were comprehensively optimized for better endothelial tube integrity as well as ECM gel longevity. The model was used to model neuroinflammation-induced brain tube disruption and immune cell extravasation. Furthermore, as a drug testing platform, the model was explored for brain endothelial transcytosis of the heparin-binding EGF-like growth factor (HB-EGF) targeted nanobodies and the data was compared to a parallel transwell model. ResultsImmunofluorescent staining confirmed the expression of endothelial junctional proteins, as well as astrocytic and neuronal markers. The perfused brain endothelial tube exhibited resistance to paracellular leakage of 20 kDa FITC-dextran. Astrocytes and neurons growing in ECM gel developed extensive neural network and showed spontaneous neuronal firing. The neural-vascular interactions were formed through astrocyte migration and axonal outgrowth in the ECM gel towards the tube. Exposure to neuroinflammatory cytokines disrupted the tube barrier, resulting in increased barrier leakage and the recruitment of peripheral blood mononuclear cells (PBMCs) as well as their extravasation. Owing to full-3D model design, endothelial transcytosis and abluminal distribution of the fluorescently labeled HB-EGF targeting Nbs can be clearly visualized in situ. Compared to a transwell model counterpart, the NVU chip model performed better in revealing the binding and transcytosis specificity of the targeted nanobodies. ConclusionsWe demonstrate improved physiological relevance in this full-3D NVU-on-a-chip model. The model could become a faithful platform for NVU research under both healthy and diseased conditions, and can be used as a reliable drug testing platform that aims at developing novel brain-targeted therapeutics.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Qiu, B., Pompe, S., Xenaki, K., van Bergen en Henegouwen, P. M. P., Oliveira, S., Mastrobattista, E., Caiazzo, M.. 2025-04-19. Generation of a Three-dimensional Human Neurovascular Unit Model in a Microfluidic Chip. https://doi.org/10.1101/2025.04.13.648605

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Selected for the surface: adaptive laboratory evolution for accelerated cathodic biofilm development in Cupriavidus necator

Cupriavidus necator is a metabolically versatile facultative chemolithoautotroph and a promising chassis for sustainable bioproduction from CO2. Efficient coupling of its metabolism to renewable electricity through microbial electrosynthesis (MES) requires the organism to form stable, electroactive biofilms on cathodes. This step is hindered under oxic conditions (oxic MES, oMES) by electrochemically generated reactive oxygen species (ROS), mass-transfer limitations and poor biofilm stability. Systematic strategies to improve C. necator biofilm formation on cathodes have been lacking. Here we used adaptive laboratory evolution (ALE) to address this gap. The progenitor strain colonised graphite cathodes only after an initial heterotrophic phase and formed spatially uneven biofilms whose distribution mirrored the local flow field, as resolved by micro-particle tracking velocimetry. Populations were then selected over five passages under controlled, oxygen-limited cathodic conditions. Resequencing revealed that the recovered population was genetically heterogeneous, and its dominant isolate, strain 890, was characterised in a microfluidic oMES platform. Strain 890 reached the target electrode coverage in about one day instead of six and maintained a robust biofilm at the progenitor's steady-state biovolume, whereas the multi-strain pool peaked higher but proved unstable. Relative to the progenitor, the accelerated biofilm phenotype of strain 890 is driven by a single novel mutation in a bifunctional diguanylate cyclase/phosphodiesterase locus, which likely encodes a central regulator of the planktonic-to-biofilm transition. The steady-state biovolume itself remained bounded, most probably due to a mass-transfer ceiling set by the counter-directional supply of H2 and O2. This work shows that ALE renders the initial-attachment barrier of cathodic biofilm formation genetically tractable, providing strain 890 as a robust chassis and a well-defined starting point for oMES-based CO2 valorisation.

bioengineering↗

Engineering a High-Fidelity CRISPR-Cas13d System for Targeted RNA Depletion in Plasmodium falciparum

Functional genomics in Plasmodium falciparum is severely constrained by the evolutionary absence of an endogenous RNA interference pathway and the requirement for time-consuming direct target locus modification by conventional conditional genetic engineering systems. To overcome these limitations, we established a programmable post-transcriptional gene silencing system in P. falciparum using High-Fidelity RfxCas13d (HF-RfxCas13d), an RNA-guided RNA nuclease that has been previously tested in several eukaryotic hosts. Using CRISPR-SpyCas9 we integrated a HF-RfxCas13d expression cassette at the dispensable pfs47 locus and generated a stable marker-free transgenic line capable of constitutive HF-RfxCas13d cytosolic expression without impairing intraerythrocytic asexual growth. Episomal delivery of single or dual guide RNAs (gRNAs) achieved significant target mRNA depletion (41%-76%) across three endogenous loci atp4, ap2-exp, ap2-g genes. Applying this system to the master transcriptional regulator of gametocytogenesis (ap2-g) resulted in transcript depletion that functionally impaired sexual differentiation in committed parasites, reducing significantly the Sexual Conversion Rate a 70%. Overall, our novel HF-Cas13d line provides a flexible, scalable, and non-locus-modifying addition to the P. falciparum genetic toolbox to accelerate functional genomics and malaria drug target identification.

bioengineering↗

DECODE: DEcomposition of COupled and DEcoupled Brain States: Separating Structure-Coupled and Structure-Decoupled Functional Organization in Alzheimers Disease

Brain functional activity emerges within an underlying structural scaffold. While structural network connectivity provides a relatively stable anatomical backbone for large-scale communication, functional interactions are high-dimensional and temporally dynamic, forming recurrent patterns that can be represented in a latent space of transient functional states. Yet, how these transient functional states are organized and the extent to which they remain constrained by structural network connectivity or become relatively decoupled from structural organization over time remain poorly understood. To address this gap, we introduce DECODE (DEcomposition of COupled and DEcoupled Brain States), a data-driven latent-space framework that uses independent component analysis (ICA) and multimodal data to decompose resting-state dynamic functional network connectivity into a lower-dimensional representation of transient functional states. These states capture temporally varying structure-coupled and structure-decoupled patterns using diffusion MRI-derived structural network connectivity priors. Structure-coupled states reflect functional configurations more strongly anchored to major structural motifs, whereas structure-decoupled states represent configurations less constrained by the identified structural organization, while potentially remaining within structurally defined dynamical bounds. DECODE identifies reproducible structure-coupled and structure-decoupled states, with mean squared error reconstruction of dynamic information < 0.1 and adjusted R-squared = 0.4. Applied to Alzheimers disease (AD), DECODE revealed stronger group differences (FDR-corrected p-value 0.05) in both connectivity organization and temporal dynamics for decoupled states. These findings suggest that functional states less constrained by identified structural organization may be more vulnerable to AD-related disruption, whereas structure-coupled states may be relatively preserved. More broadly, DECODE provides a reproducible and generalizable framework for quantifying how functional dynamics are shaped by, or diverge from, structural organization by incorporating a latent representation of the structural connectome as an informative prior. Our findings established structural and functional alignment variation by distinguishing dynamic functional patterns closely coupled with structure from those that deviate from it.

bioengineering↗