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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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At least 505 records · Page 28Linked to original sources

Structural and biophysical analysis of a Haemophilus influenzae tripartite ATP-independent periplasmic (TRAP) transporter

Tripartite ATP-independent periplasmic (TRAP) transporters are secondary-active transporters that receive their substrates via a soluble binding protein to move bioorganic acids across bacterial or archaeal cell membranes. Recent cryo-EM structures of TRAP transporters provide a broad framework to understand how they work, but the mechanistic details of transport are not yet defined. Here we report the cryo-EM structure of the Haemophilus influenzae N-acetylneuraminate TRAP transporter (HiSiaQM) at 2.99 [A] resolution (extending to 2.2 [A] at the core), revealing new features. The improved resolution (the previous HiSiaQM structure is 4.7 [A] resolution) permits accurate assignment of two Na+ sites and the architecture of the substrate binding site, consistent with mutagenic and functional data. Moreover, rather than a monomer, the HiSiaQM structure is a homodimer. We observe lipids at the dimer interface, as well as a lipid trapped within the fusion that links the SiaQ and SiaM subunits. We show that the affinity (KD) for the complex between the soluble HiSiaP protein and HiSiaQM is in the micromolar range and that a related SiaP can bind HiSiaQM. This work provides key data that enhances our understanding of the elevator-with-an-operator mechanism of TRAP transporters.

biochemistry↗

A biophysically constrained brain connectivity model based on stimulation-evoked potentials.

BackgroundSingle-pulse electrical stimulation (SPES) is an established technique used to map functional effective connectivity networks in treatment-refractory epilepsy patients undergoing intracranial-electroencephalography monitoring. While the connectivity path between stimulation and recording sites has been explored through the integration of structural connectivity, there are substantial gaps, such that new modeling approaches may advance our understanding of connectivity derived from SPES studies. New MethodUsing intracranial electrophysiology data recorded from a single patient undergoing sEEG evaluation, we employ an automated detection method to identify early response components, C1, from pulse-evoked potentials (PEPs) induced by SPES. C1 components were utilized for a novel topology optimization method, modeling 3D conductivity propagation from stimulation sites. Additionally, PEP features were compared with tractography metrics, and model results were analyzed with respect to anatomical features. ResultsThe proposed optimization model resolved conductivity paths with low error. Specific electrode contacts displaying high error correlated with anatomical complexities. The C1 component strongly correlates with additional PEP features and displayed stable, weak correlations with tractography measures. Comparison with existing methodsExisting methods for estimating conductivity propagation are imaging-based and thus rely on anatomical inferences. ConclusionsThese results demonstrate that informing topology optimization methods with human intracranial SPES data is a feasible method for generating 3D conductivity maps linking electrical pathways with functional neural ensembles. PEP-estimated effective connectivity is correlated with but distinguished from structural connectivity. Modeled conductivity resolves connectivity pathways in the absence of anatomical priors.

neuroscience↗

A simple agent-based hybrid model to simulate the biophysics of glioblastoma multiforme cells and the concomitant evolution of the oxygen field

Background and objectives: Glioblastoma multiforme (GBM) is one of the most aggressive cancers of the central nervous system. It is characterized by a high mitotic activity and an infiltrative ability of the glioma cells, neovascularization and necrosis. GBM evolution entails the continuous interplay between heterogeneous cell populations, chemotaxis, and physical cues through different scales. In this work, an agent-based hybrid model is proposed to simulate the coupling of the multiscale biological events involved in the GBM invasion, specifically the individual and collective migration of GBM cells and the concurrent evolution of the oxygen field and phenotypic plasticity. An asset of the formulation is that it is conceptually and computationally simple but allows to reproduce the complexity and the progression of the GBM micro-environment at cell and tissue scales simultaneously. Methods: The migration is reproduced as the result of the interaction between every single cell and its micro-environment. The behavior of each individual cell is formulated through genotypic variables whereas the cell micro-environment is modeled in terms of the oxygen concentration and the cell density surrounding each cell. The collective behavior is formulated at a cellular scale through a flocking model. The phenotypic plasticity of the cells is induced by the micro-environment conditions, considering five phenotypes. Results: The model has been contrasted by benchmark problems and experimental tests showing the ability to reproduce different scenarios of glioma cell migration. In all cases, the individual and collective cell migration and the coupled evolution of both the oxygen field and phenotypic plasticity have been properly simulated. This simple formulation allows to mimic the formation of relevant hallmarks of glioblastoma multiforme, such as the necrotic cores, and to reproduce experimental evidences related to the mitotic activity in pseudopalisades. Conclusions: In the collective migration, the survival of the clusters prevails at the expense of cell mitosis, regardless of the size of the groups, which delays the formation of necrotic foci and reduces the rate of oxygen consumption.

bioengineering↗

Role of a holo-insertase complex in the biogenesis of biophysically diverse ER membrane proteins

Mammalian membrane proteins perform essential physiologic functions that rely on their accurate insertion and folding at the endoplasmic reticulum (ER). Using forward and arrayed genetic screens, we systematically studied the biogenesis of a panel of membrane proteins, including several G-protein coupled receptors (GPCRs). We observed a central role for the insertase, the ER membrane protein complex (EMC), and developed a dual-guide approach to identify genetic modifiers of the EMC. We found that the back of sec61 (BOS) complex, a component of the multipass translocon, was a physical and genetic interactor of the EMC. Functional and structural analysis of the EMC*BOS holocomplex showed that characteristics of a GPCRs soluble domain determine its biogenesis pathway. In contrast to prevailing models, no single insertase handles all substrates. We instead propose a unifying model for coordination between the EMC, multipass translocon, and Sec61 for biogenesis of diverse membrane proteins in human cells.

cell biology↗

Slow rhythmic activity from an interplay of voltage and extracellular concentration dynamics: a minimal biophysical mechanism for neuronal bursting

Slow brain rhythms, for example during slow-wave sleep or pathological conditions like seizures and spreading depolarization, can be accompanied by synchronized oscillations in extracellular potassium concentration. Slow brain rhythms typically have longer periods than tonic action-potential firing. They are assumed to arise from network-level mechanisms, involving synaptic interactions and delays, or from intrinsically bursting neurons equipped with ion channels of slow dynamics. Here, we demonstrate that both mechanisms are not necessarily required and that slow rhythms can also be generated from an interplay of fast neuronal voltage dynamics and changes in extracellular ionic concentrations alone in any neuron with type excitability. The coupling of fast-spiking neuron dynamics and a slow extracellular potassium transient is regulated by the Na+/K+-ATPase. We use bifurcation analysis and the slow-fast method to reveal that this coupling suffices to generate a hysteresis loop organized around a bistable region that emerges from a saddle-node loop bifurcation - a common feature of type excitable neurons. Moreover, the Na+/K+-ATPase not only plays a key role in burst generation by shearing the bifurcation diagram but also modulates tonic spiking and depolarization block by its density and pump rate. These dynamics of bursting, tonic spiking and depolarization block, accompanied by the fluctuation of extracellular potassium, are likely to be relevant for pathological conditions. We suggest that these dynamics can result from any disturbance in extracellular potassium regulation, such as glial malfunction or hypoxia. The identification of a minimal mechanistic requirement for producing these dynamics adds to a better understanding of pathologies in brain rhythms may direct attention to alternative pharmacological targets for therapy. Author SummaryThe brain can produce slow rhythms, such as those observed during sleep or epilepsy. These rhythms are much slower than the neuronal electrical signals, and their origins are still under debate. Mechanisms discussed so far are based on the connection delays in neural networks or on neuronal ion channels with particularly slow kinetics. We show that neurons with specific spiking dynamics - allowing them to fire at arbitrarily low frequencies (type neurons) - can produce slow rhythmic patterns without requiring synaptic connectivity or special ion channels. In these cells, slow rhythmic activity arises from the interplay of slow changes in extracellular potassium concentration and the cells voltage dynamics, mediated by the Na+/K+-ATPase pump. The latter, found in all neurons, regulates the concentrations of sodium and potassium ions across the cell membrane. The core mechanism is not idiosyncratic, rather mathematical analysis shows under which conditions slow rhythmic activity can arise generically from the pump-based coupling in a broad class of neurons. We demonstrate that the pump is relevant for the creation of different firing patterns, which can be associated with various diseases. A better understanding these complex dynamics is important for the development of more effective treatments for concentration-dependent pathologies.

neuroscience↗

Substrate Stiffness Reshapes Layer Architecture and Biophysical Features of Human Induced Pluripotent Stem Cells to Modulate their Differentiation Potential

Lineage-specific differentiation of human induced pluripotent stem cells (hiPSCs) relies on complex interactions between biochemical and physical cues. Here we investigated the ability of hiPSCs to undergo lineage commitment in response to inductive signals and assessed how this competence is modulated by substrate stiffness. We showed that Activin A-induced hiPSC differentiation into mesendoderm and its derivative, definitive endoderm is enhanced on gel-based substrates softer than glass. This correlated with changes in tight junction formation and extensive cytoskeletal remodeling. Further, live imaging and in silico studies suggested changes in cell motility, shape, forces and pressures, underlie hiPSC layer reshaping on soft substrates. Finally, we repurposed an ultra-soft silicone gel, which may provide a suitable substrate for culturing hiPSCs at physiological stiffnesses. Our results provide mechanistic insight into how epithelial mechanics dictate the hiPSC response to chemical signals, and provide a tool for their efficient differentiation in emerging stem cell therapies.

cell biology↗

Persistent Interruption in Parvalbumin Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms

Persistent activity in principal cells is a putative mechanism for maintaining memory traces during working memory. We recently demonstrated persistent interruption of firing in fast-spiking parvalbumin-expressing interneurons (PV-INs), a phenomenon which could serve as a substrate for persistent activity in principal cells through disinhibition lasting hundreds of milliseconds. Here, we find that hippocampal CA1 PV-INs exhibit type 2 excitability, like striatal and neocortical PV-INs. Modelling and mathematical analysis showed that the slowly inactivating potassium current Kv1 contributes to type 2 excitability, enables the multiple firing regimes observed experimentally in PV-INs, and provides a mechanism for robust persistent interruption of firing. Using a fast/slow separation of times scales approach with the Kv1 inactivation variable as a bifurcation parameter shows that the initial inhibitory stimulus stops repetitive firing by moving the membrane potential trajectory onto a co-existing stable fixed point corresponding to a non-spiking quiescent state. As Kv1 inactivation decays, the trajectory follows the branch of stable fixed points until it crosses a subcritical Hopf bifurcation then spirals out into repetitive firing. In a model describing entorhinal cortical PV-INs without Kv1, interruption of firing could be achieved by taking advantage of the bistability inherent in type 2 excitability based on a subcritical Hopf bifurcation, but the interruption was not robust to noise. Persistent interruption of firing is therefore broadly applicable to PV-INs in different brain regions but is only made robust to noise in the presence of a slow variable. Significance StatementPersistent activity in neuronal networks is thought to provide a substrate for multiple forms of memory. The architecture of neuronal networks across many brain regions involves a small number of inhibitory neurons that control many principal neurons. We propose that persistent silencing of fast-spiking parvalbumin-expressing inhibitory interneurons (PVINs) can result in persistent activity of principal neurons. We use a mathematical approach and computer simulations to investigate the mechanisms governing persistent interruption of firing in hippocampal and cortical PV-INs. We show how a slowly changing state of a particular ion channel controls the long-lasting silence imposed by persistent interruption. Overall, our results provide a conceptual framework that positions the persistent interruption of PV-INs firing as a potential mechanism for persistent activity in principal cells.

neuroscience↗

Enhancing viscosity control in antibody formulations: A framework for the biophysical screening of mutations targeting solvent-accessible hydrophobic and electrostatic patches

The formulation of high-concentration monoclonal antibody (mAb) solutions in low dose volumes for autoinjector devices poses challenges in manufacturability and patient administration due to elevated solution viscosity. In the current study, we present a systematic experimental framework for the computational screening of molecular descriptors to guide the design of mutants with modified viscosity profiles accompanied by experimental evaluation. Our observations using a model anti-IL8 antibody reveal that the reduction in viscosity is influenced by the location of hydrophobic interactions, while targeting positively charged patches in mAb1 leads to the most significant viscosity increase compared to the wild-type mAb. We conclude that existing in silico predictions of physicochemical properties exhibit poor correlation with experimental parameters for antibodies with suboptimal developability characteristics, emphasizing the necessity for comprehensive case-by-case evaluations of mAbs. This approach aids in the rational design of mAbs with tailored solution viscosities, ensuring improved manufacturability and patient convenience in self-administration scenarios.

bioengineering↗

Centrioles generate two scaffolds with distinct biophysical properties to build mitotic centrosomes

Mitotic centrosomes form when centrioles recruit large amounts of pericentriolar material (PCM) around themselves. The PCM comprises hundreds of proteins, yet it can assemble and disassemble within minutes, leading to much debate about its physical nature. Here we show that Drosophila Spd-2 fluxes out from centrioles, recruiting Polo and Aurora A to catalyse the assembly of a solid-like Cnn-scaffold and a more liquid-like TACC-scaffold, respectively. Both scaffolds can assemble and recruit PCM proteins independently, but both are required for proper centrosome assembly, with the Cnn-scaffold providing mechanical strength, and the TACC-scaffold locally concentrating centriole and centrosome proteins. Recruiting Spd-2, but not Cnn or TACC, to the surface of synthetic beads injected into early embryos reconstitutes several aspects of mitotic centrosome assembly on the bead surface, and this depends on the ability of Spd-2 to recruit Polo and AurA. Thus, Spd-2 molecules flux out from the centriole recruiting Polo and AurA to promote the assembly of two scaffolds with distinct properties to support mitotic centrosome assembly in flies.

cell biology↗

Subcellular, biochemical and biophysical alterations in two glial cell models of ARSACS

Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is a developmental and degenerative disorder caused by loss-of-function mutations in the gene that codifies for the sacsin chaperone. Sacsin was initially described as a neuronal protein but is found in various cell types, including astroglial, microglial, kidney, and skin cell lines. We and others have shown that virtually all cell and animal models of ARSACS show disruption of intermediate filament (IF) cytoskeleton and organelle distribution. This article extends previous observations from our lab on the C6 astroglial-like model and describes the development and characterization of a new human microglial cell model based on HMC3 cells. HMC3 cells knocked out for sacsin show similar alterations to C6 astroglial-like cells: aberrant distribution of IF network and organelles, downregulation of developmental transcription factors STAT3 and Smad1, and alterations in autophagy machinery and markers of intracellular stress, resulting in morphological changes. Our results extend previous observations suggesting a possible role for glial cells in ARSACS and provide new tools to understand the glial-specific mechanisms involved in this pathology.

biochemistry↗

Endogenous OptoRhoGEFs reveal biophysical principles of epithelial tissue furrowing

During development, epithelia function as malleable substrates that undergo extensive remodeling to shape developing embryos. Optogenetic control of Rho signaling provides an avenue to investigate the mechanisms of epithelial morphogenesis, but transgenic optogenetic tools can be limited by variability in tool expression levels and deleterious effects of transgenic overexpression on development. Here, we use CRISPR/Cas9 to tag Drosophila RhoGEF2 and Cysts/Dp114RhoGEF with components of the iLID/SspB optogenetic heterodimer, permitting light-dependent control over endogenous protein activities. Using quantitative optogenetic perturbations, we uncover a dose-dependence of tissue furrow depth and bending behavior on RhoGEF recruitment, revealing mechanisms by which developing embryos can shape tissues into particular morphologies. We show that at the onset of gastrulation, furrows formed by cell lateral contraction are oriented and size-constrained by a stiff basal actomyosin layer. Our findings demonstrate the use of quantitative, 3D-patterned perturbations of cell contractility to precisely shape tissue structures and interrogate developmental mechanics.

developmental biology↗

Structural and Biophysical Dynamics of Fungal Plasma Membrane Proteins and Implications for Echinocandin Action in Candida glabrata

Fungal plasma membrane proteins represent key therapeutic targets for antifungal agents, yet their structure and spatial distribution in the native context remain poorly characterized. Herein, we employ an integrative multimodal approach to elucidate the structural and functional organization of plasma membrane protein complexes in Candida glabrata, focusing on prominent and essential membrane proteins, the polysaccharide synthase {beta}-(1,3)-glucan synthase (GS) and the proton pump Pma1. Cryo-electron tomography (cryo-ET) and live cell imaging reveal that GS and Pma1 are heterogeneously distributed into distinct plasma membrane microdomains. Treatment with caspofungin, an echinocandin antifungal that targets GS, alters the plasma membrane and disrupts the native distribution of GS and Pma1. Based on these findings, we propose a model for echinocandin action that considers how drug interactions with the plasma membrane environment lead to inhibition of GS. Our work underscores the importance of interrogating the structural and dynamic characteristics of fungal plasma membrane proteins in situ to understand function and facilitate precisely targeted development of novel antifungal therapies.

cell biology↗

Cellular and biophysical barriers to lipid nanoparticle mediated delivery of RNA to the cytosol

Lipid nanoparticle (LNP) formulation was the first approved delivery strategy for liver-targeted siRNA delivery and currently represent the most advanced platform for delivery of therapeutic mRNA in clinical use, after the approval of mRNA-based vaccines against the SARS-CoV-2 coronavirus. Still, poor efficiency of LNPs to promote cytosolic delivery of both mRNA and siRNA after internalization by target cells limits their potency and thus clinical application as RNA delivery vehicles - especially in extrahepatic tissues and tumors. It is still unclear how endosomal escape of LNP-delivered RNA cargo occurs, and why only a minute proportion of all therapeutic molecules reach the cytoplasm. Here, we explored the intracellular sorting, integrity and endosomal escape of both mRNA and siRNA loaded LNPs to characterize the nature of RNA release from endosomal compartments and pinpoint current bottlenecks. Using live-cell imaging and super-resolution microscopy of LNPs with fluorescently labeled RNA payload, we identify multiple distinct steps of substantial inefficiency in the cytosolic delivery of nucleic acid cargoes. We demonstrate that membrane damages marked by recruitment of galectins are conducive to cytosolic RNA delivery, while membrane perturbations recruiting the ESCRT machinery do not permit endosomal escape. By quantitative single-vesicle analysis, we show that only a small fraction of the nucleic acid cargo contained in the endosome is released to the cytosol upon LNP-triggered membrane damage detected by galectins. Unexpectedly, we also observe that only a subset of damaged endosomes contain RNA payload. Through FRET and super-resolution microscopy, using LNPs formulated with both fluorescently labeled ionizable lipid (MC3-BODIPY) and RNA, we find that RNA cargo and ionizable lipid segregate during endosomal sorting - both within single endosomes and to different endosomal compartments. Finally, we visualize localized MC3-BODIPY enrichment in endosomal membranes and membrane damage in direct proximity to siRNA-LNPs tethered to the luminal vesicle membrane. Taken together, this work has identified multiple mechanistically distinct barriers limiting intracellular RNA delivery by LNPs.

bioengineering↗

Deriving connectivity from spiking activity in biophysical cortical microcircuits

Inferring detailed cortical microcircuit connectivity is essential for uncovering how information is processed in the brain. A common method in vivo uses short-lag spike cross-correlations to derive putative monosynaptic connections, but inactive neurons and correlated firing can hinder the derivation accuracy. Previous computational studies that developed methods to derive connectivity from cross-correlations employed simplified or small network models and thus did not address the above key confounds of physiological large-scale networks. We tested connectivity derivation using simulated ground-truth spiking from detailed models of human cortical microcircuits in different layers and between key neuron types. While derivation accuracy was high for cortical layer 5 microcircuits, we showed that low-firing and inactive neurons in layer 2/3 microcircuits resulted in poor performance. We then showed that general activation paradigms for layer 2/3 microcircuits led to only a moderate improvement in derivation performance, due to a trade-off between reducing the proportion of inactive neurons and increasing correlated overactive neurons. We further improved the connection derivation performance using a more refined activation paradigm leading to jittered moderate spiking, which decreased inactive neurons without incurring unwanted correlations. Our results address key physiological challenges and provide methods to improve performance in deriving connections from spiking activity in large-scale neuronal microcircuits.

neuroscience↗

The structural and biophysical basis of substrate binding to the hydrophobic groove in Ubiquilin Sti1 domains

Ubiquilins are molecular chaperones that play multifaceted roles in proteostasis, with point mutations in UBQLN2 leading to altered phase separation properties and Amyotrophic Lateral Sclerosis (ALS). Our mechanistic understanding of this essential process has been hindered by a lack of structural information on the Sti1 domain, which is essential for Ubiquilin chaperone activity and phase separation. Here, we present the first crystal structure of a Ubiquilin family Sti1 domain bound to a transmembrane domain (TMD) and show that ALS mutations disrupt the Sti1-TMD interaction. We then demonstrate that Ubiquilins contain multiple conserved, internal sequences that bind to the Sti1 domain, including the PXX region which is a hotspot for ALS mutations. We propose that these placeholder sequences prevent solvent exposure of the Sti1 hydrophobic groove and contribute to the multivalency that drives Ubiquilin phase separation. Together, this work provides a new paradigm for understanding how Sti1 domains modulate Ubiquilin chaperone activity and phase separation and offer insights into the molecular basis of ALS pathogenesis.

biochemistry↗

Design and Biophysical Characterization of Second-Generation Cyclic Peptide LAG-3 Inhibitors for Cancer Immunotherapy

Lymphocyte activation gene 3 (LAG-3) is an inhibitory immune checkpoint crucial for suppressing the immune response against cancer. Blocking LAG-3 interactions enables T cells to recover their cytotoxic capabilities and diminishes the immunosuppressive effects of regulatory T cells. A cyclic peptide (Cys-Val-Pro-Met-Thr-Tyr-Arg-Ala-Cys, disulfide bridge: 1-9) was recently reported as a LAG-3 inhibitor. Based on this peptide, we designed 19 derivatives by substituting tyrosine residue to maximize LAG-3 inhibition. Screening via TR-FRET assay identified 8 outperforming derivatives, with cyclic peptides 12 [Tyr6(L-3-CN-Phe)], 13 [Tyr6(L-4-NH2-Phe)], and 17 [Tyr6(L-3,5-DiF-Phe)] as top candidates. Cyclic peptide 12 exhibited the highest inhibition (IC50 = 4.45 {+/-} 1.36 {micro}M). MST analysis showed cyclic peptides 12 and 13 bound LAG-3 with KD values of 2.66 {+/-} 2.06 {micro}M and 1.81 {+/-} 1.42 {micro}M, respectively, surpassing the original peptide (9.94 {+/-} 4.13 {micro}M). Docking simulations indicated enhanced binding for cyclic peptide 12, with a docking score of -7.236 kcal/mol compared to -5.236 kcal/mol for the original peptide.

pharmacology and toxicology↗

Information Theory of Composite Sequence Motifs: Mutational and Biophysical Determinants of Complex Molecular Recognition

The recognition of nucleotide sequence patterns is a fundamental biological process that controls the start sites of replication, transcription and translation, as well as transcriptional and translational regulation. Foundational work on the evolution of biological information showed that the amount of information encoded in the target nucleotide sequence patterns, a quantity named Rsequence, evolves by natural selection to match a predictable quantity called Rfrequency. In this work, we propose a generalization of this canonical framework that can describe composite sequence motifs: motifs composed of a series of sequence patterns at some variable (not necessarily conserved) distance from each other. We find that some information can be encoded through the conservation of the distance between sequence patterns, a quantity we named Rspacer, and that - to be functional - biological systems require the sum of Rsequence and Rspacer to be constant. We empirically validate our mathematical results through evolutionary simulations. We apply this general framework to demonstrate that the pre-recruitment of regulatory complexes to target sites has intrinsic advantages over in situ recruitment in terms of energy dissipation and search efficiency, and that realistic values of protein flexibility co-evolve with the target composite motifs to match their spacer size variability. Lastly, we show that the relative advantage of encoding information in sequence patterns or in spacers depends on the balance between nucleotide substitutions and insertions/deletions, with known estimates for the rates of these mutation types favoring the evolution of composite motifs with highly conserved spacer length.

evolutionary biology↗

Microphysiological uremia model reveals biophysical potentiators of vascular dysfunction

Cardiovascular disease is a leading cause of mortality in individuals with chronic kidney disease. Hypertension, common among patients with chronic kidney disease, is a major contributor to both kidney damage and the heightened cardiovascular risk in these patients. Advanced chronic kidney disease is associated with elevated levels of circulating uremic toxins, particularly indoxyl sulfate and p-cresyl sulfate, and are known to exacerbate cardiovascular risk by promoting inflammatory processes, including monocyte adhesion, rolling, and extravasation. However, despite the established link between chronic kidney disease and cardiovascular disease, the specific role of uremic toxins in monocyte-endothelial interactions in hypertensive settings remains largely underexplored. In this study, we developed a 3D microfluidic model to examine the effects of indoxyl sulfate on monocyte adhesion and extravasation across engineered microvessels embedded in collagen hydrogels with different densities under controlled luminal pressure. We found that elevated pressure alone significantly enhanced monocyte adhesion and extravasation, regardless of matrix density, and that the uremic environment further increased these effects. Additionally, denser hydrogels primed THP-1 monocyte cells toward a pro-inflammatory like phenotype with reduced phagocytic capacity, while softer hydrogels induced an anti-inflammatory like phenotype with enhanced phagocytosis. However, exposure to the uremic environment diminished phagocytosis and shifted cells toward a pro-inflammatory like state, irrespective of matrix density. The presented approach has the potential to experimentally dissect multiple factors that contribute to elevated cardiovascular risks in chronic kidney disease patients and improve the understanding of mechanisms involved in monocyte dynamics in chronic kidney disease- related cardiovascular disease.

bioengineering↗