Tissue Model Research Articles

A theoretical framework for predicting the heterogeneous stiffness map of brain white matter tissue

Finding the stiffness map of biological tissues is of great importance in evaluating their healthy or pathological conditions. However, due to the heterogeneity and anisotropy of biological fibrous tissues, this task presents challenges and significant uncertainty when characterized only by single-mode loading experiments. In this study, we propose a new theoretical framework to map the stiffness landscape of fibrous tissues, specifically focusing on brain white matter tissue. Initially, a finite element (FE) model of the fibrous tissue was subjected to six loading cases, and their corresponding stress-strain curves were characterized. By employing multiobjective optimization, the material constants of an equivalent anisotropic material model were inversely extracted to best fit all six loading modes simultaneously. Subsequently, large-scale FE simulations were conducted, incorporating various fiber volume fractions and orientations, to train a convolutional neural network capable of predicting the equivalent anisotropic material properties solely based on the fibrous architecture of any given tissue. The proposed method, leveraging brain fiber tractography, was applied to a localized volume of white matter, demonstrating its effectiveness in precisely mapping the anisotropic behavior of fibrous tissue. In the long-term, the proposed method may find applications in traumatic brain injury, brain folding studies, and neurodegenerative diseases, where accurately capturing the material behavior of the tissue is crucial for simulations and experiments.

Cryopreservation of in vitro human tissue models

Cryopreservation of in vitro human tissue models

Kinetic Analysis and Metabolism of Poly(Adenosine Diphosphate-Ribose) Polymerase-1-Targeted 18F-Fluorthanatrace PET in Breast Cancer.

The poly(adenosine diphosphate-ribose) polymerase inhibitors (PARPi) have demonstrated efficacy in ovarian, breast, and prostate cancers, but current biomarkers do not consistently predict clinical benefit. 18F-fluorthanatrace (18F-FTT) is an analog to rucaparib, a clinically approved PARPi, and is a candidate biomarker for PARPi response. This study intends to characterize 18F-FTT pharmacokinetics in breast cancer and optimize image timing for clinical trials. A secondary aim is to determine whether 18F-FTT uptake in breast cancer correlates with matched frozen surgical specimens as a reference standard for PARP-1 protein. Methods: Thirty prospectively enrolled women with a new diagnosis of breast cancer were injected with 18F-FTT and imaged dynamically 0-60 min after injection over the chest, with an optional static scan over multiple bed positions starting around 70 min. Kinetic analysis of lesion uptake was performed using blood-pool activity with population radiometabolite corrections. Normal breast and normal muscle reference tissue models were compared with PARP-1 protein expression in 10 patients with available tissue. Plasma radiometabolite concentrations and uptake in tumor and normal muscle were investigated in mouse xenografts. Results: Pharmacokinetics of 18F-FTT were well fit by Logan plot reference region models of reversible binding. However, fits of 2-tissue compartment models assuming negligible metabolite uptake were unstable. Rapid metabolism of 18F-FTT was demonstrated in mice, and similar uptake of radiometabolites was found in tumor xenografts and normal muscle. Tumor 18F-FTT distribution volume ratios relative to normal muscle reference tissue correlated with tissue PARP-1 expression (P < 0.02, n = 10). The tumor-to-normal muscle ratio from a 5-min frame between 50 and 60 min after injection, a potential static scan protocol, closely corresponded to the distribution volume ratio relative to normal muscle and correlated to PARP-1 expression (P < 0.02, n = 10). Conclusion: This study of PARPi analog 18F-FTT showed that uptake kinetics invivo corresponded to expression of PARP-1 and that 18F-FTT quantitation is influenced by radiometabolites that are increasingly present late after injection. Radiometabolites can be controlled by using optimal image acquisition timing or normal muscle reference tissue modeling in dynamic imaging or a tumor-to-normal muscle ratio. Optimal image timing for tumor-to-normal muscle quantification in humans appears to be between 50 and 60 min after injection. Therefore, a clinically practical static imaging protocol commencing 45-55 min after injection may sufficiently balance 18F-FTT uptake with background clearance and radiometabolite interference for quantitative interpretation of PARP-1 expression invivo.

Cellular Alignment and Matrix Stiffening Induced Changes in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes.

Biological processes are inherently dynamic, necessitating biomaterial platforms capable of spatiotemporal control over cellular organization and matrix stiffness for accurate study of tissue development, wound healing, and disease. However, most in vitro platforms remain static. In this study, a dynamic biomaterial platform comprising a stiffening hydrogel is introduced and achieved through a stepwise approach of addition followed by light-mediated crosslinking, integrated with an elastomeric substrate featuring strain-responsive lamellar surface patterns. Employing this platform, the response of human induced pluripotent stem cell-derived cardiomyocytes (hIPSC-CMs) is investigated to dynamic stiffening from healthy to fibrotic tissue stiffness. The results demonstrate that culturing hIPSC-CMs on physiologically relevant healthy stiffness significantly enhances their function, as evidenced by increased sarcomere fraction, wider sarcomere width, significantly higher connexin-43 content, and elevated cell beating frequency compared to cells cultured on fibrotic matrix. Conversely, dynamic matrix stiffening negatively impacts hIPSC-CM function, with earlier stiffening events exerting a more pronounced hindering effect. These findings provide valuable insights into material-based approaches for addressing existing challenges in hIPSC-CM maturation and have broader implications across various tissue models, including muscle, tendon, nerve, and cornea, where both cellular alignment and matrix stiffening play pivotal roles in tissue development and regeneration.

Desenvolvimento de um dispositivo de fixação para aplicações de injeção com seringa em pacientes diabéticos

Hypodermic needles are widely used in both medicine and dentistry, which makes their study crucial. Understanding the pain perception caused by the insertion of these needles is particularly important for patients who fear or are phobic about seeing or feeling that they penetrate their skin. Our previous research focused on the impact of various needle characteristics on pain sensation during hypodermic injections and identified ways to reduce discomfort and injection-related phobia. We hypothesized that reducing the force required for needle penetration could minimize tissue trauma, and therefore, the pain experienced. That previous study investigated how factors such as cannula diameter, surface roughness, penetration depth, lubrication, and angle of the needle's bevel tip influence pain perception during injections, employing an artificial tissue model to gauge the effort needed for penetration. The findings indicated that needles with larger bevel angles required more penetration force, which correlated with increased pain perception among patients. In the presente study we further examined the wear and burr formation on repeatedly used needles using a profile projector and Scanning Electron Microscopy (SEM), which can hinder penetration and cause tissue damage. Additionally, we explored mechanical methods to prevent needles intended for subcutaneous injections from inadvertently penetrating muscle tissue. We developed a device to simplify the process of administering and self-administering injections, enhancing safety, comfort, and reducing the pain experienced by patients. This approach not only addresses the technical aspects of needle design but also considers the psychological impacts on patients, potentially improving therapeutic outcomes

Engineering hiPSC-derived tissue models for advanced amyloidosis research and therapy development

Abstract Introduction Transthyretin (TTR) amyloid cardiomyopathy (ATTR-CM) is a life-threatening disease currently lacking an optimal therapy, stemming from the absence of representative models. Our work aims to stablish for the first time an all-human 3D model of ATTR-CM where the main cellular and extracellular players of the pathology are present. Methodology A human induced pluripotent stem cell (hiPSC) line was derived from a patient carrying a p.Ser43Asn TTR mutation and differentiated into hepatocytes (hiPSC-HEPs), cardiomyocytes (hiPSC-CMs) and cardiac fibroblasts (hiPSC-CFs). Cells were embedded in a hydrogel (tailored for each cell type) and combined with a designed 3D printed scaffold using Melt Electro Writing (MEW) technology. Tissues were maintained in culture for up to 4 weeks and characterized by staining, albumin production, electrophysiological, plus genomic analysis. Exposure to TTR fibrils (TTR-FIB) was evaluated. Results Human hepatic and cardiac functional tissues can be generated using MEW-designs. These constructs exhibited albumin production and an active spontaneous contraction, respectively. Moreover, tissues displayed well distributed cells throughout the 3D-structure, positive for specific hepatic and cardiac mature markers. Interestingly, electrophysiological analysis showed that cardiac tissues displayed shortened calcium transients after TTR-FIB exposure compared to unexposed tissues. However, no differences were found in terms of beat rate, metabolic activity and gene expression for the concentrations used. Conclusion We have developed an advanced model of ATTR-CM capable of recapitulating the multisystem complexity of the disease, which will contribute to advancing our understanding of the mechanisms of the disease, and help discovering and formulating new treatments.

Integrity of central nervous autonomous tracts is associated with cardiac function, cardiovascular risk factors, organ damage and major adverse cardiovascular events

Abstract Background Alterations in the central autonomic nervous system have been linked to the pathogenesis of cardiovascular (CV) risk and disease. Moreover, these conditions are treatable by pharmacological or interventional modification of the activity of the autonomic nervous system. Purpose The UK Biobank enables the investigation of the relationship between changes in the CAN and CV function or disease within a large population. Microstructural integrity of the CAN was assessed for associations with cardiac function, CV risk and damage representations, and major adverse cardiovascular events (MACE). Method Microstructural diffusion metrics for 7 CAN tracts were estimated using a Bayesian approach, which determines the three components of a standard white matter-based tissue model: 1. the free water fraction (CSF); 2. the fraction within neuronal processes, i.e. axons and dendrites (INTRA); and 3. the fraction outside of axons or dendrites (EXTRA), representing the cellular compartment and the extracellular matrix. Volume fractions of the three microstructural components were analysed for associations with cardiac index, blood pressure, CV target organ damage (arterial stiffness, left ventricular mass, and wall thickness), and MACE, using covariate-adjusted regression models that corrected for multiple comparisons. Results Analysis of cardiac function in 26,302 participants revealed significant associations between cardiac index and CAN regions in the cortical and subcortical networks. Arterial stiffness was significantly associated with markers of microstructural integrity in the cortical networks only (n=22,491), while systolic (n=34,114) and diastolic blood pressure (n=34,130), left ventricular mass (n=22,491) and wall thickness (n=22,491) showed extensive associations with the cortical and subcortical CAN. MACE (n=33,444) was associated with cortical markers of microstructural integrity of the CAN in limbic pathways (significant CANs all p&amp;lt;0.002) and the CAN pathways connecting cortical areas (significant CANs left all &amp;lt;0.001, right=0.001). The observed pattern of microstructural metrics suggests that the integrity of neural connections (intra-fraction) positively correlates with adverse outcomes, while an increase in free fluid (CSF) volume was typically associated with a negative impact. Conclusion In this analysis, markers of CAN integrity and degradation showed extensive associations with indicators of CV function, risk factors, damage parameters, and outcomes. This evidence supports the crucial role of autonomic regulation in cardiovascular disease. Future research is needed to determine whether these associations indicate harmful processes, such as neuroinflammation, contributing to cardiovascular (CV) risk and disease development, or if they are consequences of pre-existing elevated risk factors or events.CANs associated with MACEAssociations of CAN with CV organ damage

Identification of cell adhesion molecules for the maturation of engineered heart tissue

Abstract Background Engineered cardiac tissue (ECT) utilizing human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) is anticipated to function as a translational in vitro model. However, hiPSC-CMs display phenotypes indicative of immaturity, and the structural organization of ECT composed of hiPSC-CMs is insuficient when compared to that of mature adult hearts. Although the mechanisms for hiPSC-CMs maturation have been reported, little is known about the mechanisms regulating the formation of in vitro tissue such as ECT. Cell adhesion molecules play important roles in heart formation in vivo through cell-cell interactions. However, specific cell adhesion molecules responsible for tissue structure formation in in vitro tissue models, such as ECTs, have not been identified. We hypothesize that cell adhesion molecules, which regulate cell-cell attachment, are crucial for in vitro tissue formation. Purpose This study aims to identify the key cell adhesion molecules involved in cell-cell interaction and assess the effects of their expression on hiPSC-CMs and EHT functions. Methods and Results We developed a cell attachment assay to evaluate the attachment ability of hiPCS-CMs and discovered that hiPSC-CMs produced via embryoid body method (EB-hiPSC-CMs) exhibited a higher attachment ability than those produced by monolayer method (Mono-hiPSC-CMs). Further analysis revealed no significant difference in anoikis sensitivity between EB-hiPSC-CMs and Mono-hiPSC-CMs, suggesting that the observed difference in attachment ability were due to differencies in cell adhesion efficiency between hiPSC-CMs generated by two methods. Moreover, RNA-seq analysis identified nine cell adhesion molecule genes that were highly expressed in EB-hiPSC-CMs. We identified the cell adhesion molecules responsible for the attachment ability of hiPSC-CMs by knockdown and over-expression experiments. Moreover, over-expression experiments using adeno-associated virus (AAV) demonstrate that hiPSC-CMs with overexpression of a cell adhesion molecule improved calcium handling and increased propagation speed, and ECTs with overexpression of a cell adhesion molecule showed enhanced sarcomere alignment and sarcomere length compared to controls. Conclusion(s) We observed differences in attachment ability between hiPSC-CMs generated by two differentiation methods. Transcriptome analysis of these hiPSC-CMs identified key cell adhesion molecules that regulate cell-cell attachment ability of hiPSC-CMs. Furthermore, increment of attachment ability of hiPSC-CMs by overexpression of a cell adhesion molecule enhanced hiPSC-CMs and ECT functions.

High-throughput solutions in tumor organoids: From culture to drug screening.

Tumor organoids have emerged as an ideal in vitro model for patient-derived tissues, as they recapitulate the characteristics of the source tumor tissue to a certain extent, offering the potential for personalized tumor therapy and demonstrating significant promise in pharmaceutical research and development. However, establishing and applying this model involves multiple labor-intensive and time-consuming experimental steps and lacks standardized protocols and uniform identification criteria. Thus, high-throughput solutions are essential for the widespread adoption of tumor organoid models. This review provides a comprehensive overview of current high-throughput solutions across the entire workflow of tumor organoids, from sampling and culture to drug screening. Furthermore, we explore various technologies that can control and optimize single-cell preparation, organoid culture, and drug screening with the ultimate goal of ensuring the automation and high efficiency of the culture system and identifying more effective tumor therapeutics.

Viscoelastic modeling based force control framework for enhancing operation safety of soft tissue for orthopedic surgical robots

In robot-assisted laminectomy, precise control of touch force on the spinal cord during the dissection of ossified ligaments is critical to prevent dura mater tearing and ensure surgical safety. However, the complex viscoelastic characteristics of tissue at the lesion site pose a significant challenge for accurately applying touch force. This paper proposes a safe touch force servo framework based on tissue model identification and preoperative optimization of the force controller. First, a soft tissue model is established using elastic and viscoelastic elements, and the transfer function from tissue deformation to touch force is derived. Subsequently, the path and parameters of a safe pre-touch are designed, and force information required for tissue model identification is obtained through the pre-touch experiment. The model order and specific parameter values are then identified using a differential evolution algorithm. Next, force control simulation is conducted based on the identified model, and a specifically designed loss function is introduced to achieve preoperative tuning of the force controller. Finally, step force control experiments on sheep spines validate the effectiveness of the proposed method. This paper provides a safe and available touch motion control framework that can be expandable to impose precise force on various vulnerable soft tissues, with the potential for widespread application.

3D Neurovascular Unit Tissue Model to Assess Responses to Traumatic Brain Injury.

The neurovascular unit (NVU) is a critical interface in the central nervous system that links vascular interactions with glial and neural tissue. Disruption of the NVU has been linked to the onset and progression of neurodegenerative diseases. Despite its significance the NVU remains challenging to study in a physiologically relevant manner. Here, a 3D cell triculture model of the NVU is developed that incorporates human primary brain microvascular endothelial cells, astrocytes, and pericytes into a tissue system that can be sustained invitro for several weeks. This tissue model helps recapitulate the complexity of the NVU and can be used to interrogate the mechanisms of disease and cell-cell interactions. The NVU tissue model displays elevated cell death and inflammatory responses following mechanical damage, to emulate traumatic brain injury (TBI) under controlled laboratory conditions, including lactate dehydrogenase (LDH) release, elevated inflammatory markers TNF-α and monocyte chemoattractant cytokines MCP-2 and MCP-3 and reduced expression of the tight junction marker ZO-1. This 3D tissue model serves as a tool for deciphering mechanisms of TBIs and immune responses associated with the NVU.

SLC37A4, gene responsible for glycogen storage disease type 1b, regulates gingival epithelial barrier function via JAM1 expression

Solute carrier family 37 member 4 (SLC37A4) is known to regulate glucose-6-phosphate transport from cytoplasm to the lumen of the endoplasmic reticulum, which serves to maintain glucose homeostasis. Glycogen storage disease type 1b (GSD1b) is caused by a mutation of SLC37A4, leading to a glycogenolysis defect. Although GSD1b cases are known to be complicated by periodontitis, the etiological molecular basis remains unclear. The present study investigated the effects of SLC37A4 on gingival barrier function. Examinations of immortalized human gingival epithelial (IHGE) cells showed SLC37A4 localized in the endoplasmic reticulum. SLC37A4 knockout decreased expression of JAM1, a tight junction-related protein, in IHGE cells. Using in silico analysis to investigate potential transcription factor binding sites, H6 family homeobox 3 (HMX3) was shown to be related to JAM1 expression. In HMX3-knockdown IHGE cells, JAM1 expression was markedly suppressed. Furthermore, HMX3 was scarcely detected in SLC37A4-knockout cells, while HMX3 overexpression restored JAM1 expression in those cells. Finally, using a three-dimensional multilayered gingival epithelial tissue model, knockout of SLC37A4 was also found to increase permeability to lipopolysaccharide and peptidoglycan, which was dependent on JAM1 expression. Specific downregulation of HMX3 by SLC37A4 and the consequent decrease in JAM1 expression provides findings indicating a molecular basis for the reduction in barrier function of gingival epithelial tissues in GSD1b cases.

Development of an intestinal mucosa ex vivo co-culture model to study viral infections.

Studying viral infections necessitates well-designed cell culture models to deepen our understanding of diseases and develop effective treatments. In this study, we present a readily available ex vivo 3D co-culture model replicating the human intestinal mucosa. The model combines fully differentiated human intestinal epithelium (HIE) with human monocyte-derived macrophages (hMDMs) and faithfully mirrors the in vivo structural and organizational properties of intestinal mucosal tissues. Specifically, it mimics the lamina propria, basement membrane, and the air-exposed epithelial layer, enabling the pioneering observation of macrophage migration through the tissue to the site of viral infection. In this study, we applied the HIE-hMDMs model for the first time in viral infection studies, infecting the model with two globally significant viruses: severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and human norovirus GII.4. The results demonstrate the model's capability to support the replication of both viruses and show the antiviral role of macrophages, determined by their migration to the infection site and subsequent direct contact with infected epithelial cells. In addition, we evaluated the production of cytokines and chemokines in the intestinal niche, observing an increased interleukin-8 production during infection. A parallel comparison using a classical in vitro cell line model comprising Caco-2 and THP-1 cells for SARS-CoV-2 experiments confirmed the utility of the HIE-hMDMs model in viral infection studies. Our data show that the ex vivo tissue models hold important implications for advances in virology research.IMPORTANCEThe fabrication of intricate ex vivo tissue models holds important implications for advances in virology research. The co-culture model presented here provides distinct spatial and functional attributes not found in simplified models, enabling the evaluation of macrophage dynamics under severe acute respiratory syndrome coronavirus 2 and human norovirus (HuNoV) infections in the intestine. Moreover, these models, comprised solely of primary cells, facilitate the study of difficult-to-replicate viruses such as HuNoV, which cannot be studied in cell line models, and offer the opportunity for personalized treatment evaluations using patient cells. Similar co-cultures have been established for the study of bacterial infections and different characteristics of the intestinal tissue. However, to the best of our knowledge, a similar intestinal model for the study of viral infections has not been published before.

Engineered tools to study endocrine dysfunction of pancreas.

Pancreas, a vital organ with intricate endocrine and exocrine functions, is central to the regulation of the body's glucose levels and digestive processes. Disruptions in its endocrine functions, primarily regulated by islets of Langerhans, can lead to debilitating diseases such as diabetes mellitus. Murine models of pancreatic dysfunction have contributed significantly to the understanding of insulitis, islet-relevant immunological responses, and the optimization of cell therapies. However, genetic differences between mice and humans have severely limited their clinical translational relevance. Recent advancements in tissue engineering and microfabrication have ushered in a new era of in vitro models that offer a promising solution. This paper reviews the state-of-the-art engineered tools designed to study endocrine dysfunction of the pancreas. Islet on a chip devices that allow precise control of various culture conditions and noninvasive readouts of functional outcomes have led to the generation of physiomimetic niches for primary and stem cell derived islets. Live pancreatic slices are a new experimental tool that could more comprehensively recapitulate the complex cellular interplay between the endocrine and exocrine parts of the pancreas. Although a powerful tool, live pancreatic slices require more complex control over their culture parameters such as local oxygenation and continuous removal of digestive enzymes and cellular waste products for maintaining experimental functionality over long term. The combination of islet-immune and slice on chip strategies can guide the path toward the next generation of pancreatic tissue modeling for better understanding and treatment of endocrine pancreatic dysfunctions.

Numerical simulation of impulse-induced surface acoustic waves for elastography purposes using k-Wave simulation toolbox

As elastography, an emerging medical imaging strategy, advances, surface acoustic waves have been utilized to examine superficial tissues quantitatively. So far, most studies are experimental, and a numerical method is needed to cost-effectively investigate surface acoustic wave generation and propagation for technical development and optimization purposes. This study aims to develop a reliable numerical method for simulating impulse-induced surface acoustic waves using the k-wave simulation toolbox. According to the physical process of surface acoustic wave based elastography, the proposed simulation method consists of two stages: compressional wave simulation and elastic wave simulation, which aim to generate acoustic radiation force impulse and elastic waves, respectively. The technical procedures were demonstrated by a wave simulation on a water–tissue model. Meanwhile, three acoustic radiation force modeling methods were adopted. The compressional wave simulation showed that the three force modeling methods could produce similar force distribution in space but largely different amplitudes. The elastic wave simulation confirmed the feasibility of numerically generating surface acoustic waves. The reliability of the simulated waves was verified by a quantitative comparison between the numerically acquired sound speeds and their theoretical expectations and by a qualitative comparison between the numerically generated waves and the experimental observations under similar conditions. In summary, this study confirms k-wave as an effective numerical method for simulating surface acoustic waves for elastography purposes. This study provides an immediate simulation platform for investigating Scholte waves, the surface acoustic wave at a liquid–solid interface, and also, a potential numerical framework to investigate other surface acoustic waves.

Relieving the transfusion tissue traffic jam: a network model of radial transport in conifer needles.

Characteristic of all conifer needles, the transfusion tissue mediates the radial transport of water and sugar between the endodermis and axial vasculature. Physical constraints imposed by the needle's linear geometry introduce two potential extravascular bottlenecks where the opposition of sugar and water flows may frustrate sugar export: one at the vascular access point and the other at the endodermis. We developed a network model of the transfusion tissue to explore how its structure and composition affect the delivery of sugars to the axial phloem. To describe extravascular transport with cellular resolution, we construct networks from images of Pinus pinea needles obtained through tomographic microscopy, as well as fluorescence and electron microscopy. The transfusion tissue provides physically distinct pathways for sugar and water, reducing resistance between the vasculature and endodermis and mitigating flow constriction at the vascular flank. Dissipation of flow velocities through the transfusion tissue's branched structure allows for bidirectional transport of an inbound diffusive sugar flux against an outbound advective water flux across the endodermis. Our results clarify the structure-function relationships of the transfusion tissue under conditions free of physiological stress. The presented model framework is also applicable to different transfusion tissue morphologies in other gymnosperms.

The interaction between UBR7 and PRMT5 drives PDAC resistance to gemcitabine by regulating glycolysis and immune microenvironment

Pancreatic ductal adenocarcinoma (PDAC) is a common malignant tumor of the digestive tract. Although gemcitabine and other therapeutic agents are effective in patients with advanced and metastatic pancreatic cancer, drug resistance has severely limited their use. However, the mechanisms of gemcitabine resistance in pancreatic cancer are poorly understood. In this study, ATAC-seq, ChIP-seq, and RNA-seq were performed to compare chromatin accessibility and gene expression in a patient-derived tumor xenograft (PDX) model of pancreatic cancer with or without gemcitabine resistance. Analyzing these sequencing data, we found a dramatic change in chromatin accessibility in the PDX model of gemcitabine-resistant tissues and identified a key gene, UBR7, which plays an important role in mediating gemcitabine resistance. Further research found that depletion of UBR7 significantly increased pancreatic carcinogenesis and the immunosuppressive microenvironment. Mechanistically, depleted UBR7 increased the stability of PRMT5, thereby promoting glycolysis in pancreatic cancer cells. Finally, an inhibitor that blocks PRMT5 (DS-437) significantly reduced gemcitabine resistance in pancreatic cancer caused by UBR7 depletion. In conclusion, our results illustrate that the UBR7-PRMT5 axis is a key metabolic regulator of PDAC and a promising target for the clinical treatment of gemcitabine resistance in PDAC.

Spatially-Resolved Organoid Transfection by Porous Silicon-Mediated Optoporation.

Engineering the spatial organisation of organotypic cultures is pivotal for refining tissue models that are useful for gaining deeper insights into complex, non-cell autonomous processes. These advanced models are key to improving the understanding of fundamental biological mechanisms and therapeutic strategies. Controlling gene regulation through spatially-resolved delivery of nucleic acids provides an attractive approach to produce such tissue models. An emerging strategy for spatially-resolved transfection uses photosensitizing nanoparticles coupled with laser pulses to optoporate cells in culture and locally mediate gene delivery. However, localized optoporation in 3D systems remains challenging. Here we propose a solution to this longstanding hurdle, demonstrating that porous silicon nanoparticles are a safe and bioresorbable photosensitising nanomaterial capable of spatially-resolved transfection of mRNA in MCF-7 organoids by near-infrared two-photon optoporation. Functionalization with an azobenzene-lysine photo-switchable moiety enhances the transfection efficiency of the nanoparticles up to 84% in a 2D cell system. Moreover, the nanoparticles enable spatially selective mRNA transfection to MCF-7 spheroids, demonstrating targeted gene delivery in complex 3D cellular environments. The approach for spatially-resolved 3D optoporation offers a way forward for the design of tailored spheroids and organoids by spatially selective nucleic acids delivery.

Microphysiological systems to advance human pathophysiology and translational medicine.

Microphysiological systems (MPS) or "organ-on-a-chip" models are sophisticated tools that harness techniques from cell biology, tissue engineering, and microengineering to recapitulate human physiology. Typically, MPS are biofabricated 3-dimensional tissue constructs integrated into platforms designed to mimic the tissue microenvironment and provide functional outputs. Over the past decade, researchers have endeavored to manufacture high-throughput, high-fidelity MPS models of all major human organs. By incorporating patient-derived cells, researchers have produced biomimetic models of tissues with disease-linked genetic mutations capable of exhibiting patient heterogeneity. This work has demonstrated that MPS more closely model organotypic function and pathophysiology than traditional 2-dimensonal culture systems. Moreover, investigators have shown that human-MPS are better predictors of drug efficacy and toxicity than animal models. Thus, MPS have emerged as a promising candidate to improve the efficacy and safety of preclinical trials. In this Perspectives article, we provide an overview of current advances in MPS models, their applications in mechanistic research, and relevance to drug screening. Finally, we discuss current investments in MPS development by the United States federal government and research institutions around the world to advance translational medicine.

3D Bioprinting for Engineered Tissue Constructs and Patient-Specific Models: Current Progress and Prospects in Clinical Applications.

Advancements in bioprinting technology are driving the creation of complex, functional tissue constructs for use in tissue engineering and regenerative medicine. Various methods, including extrusion, jetting, and light-based bioprinting, have their unique advantages and drawbacks. Over the years, researchers and industry leaders have made significant progress in enhancing bioprinting techniques and materials, resulting in the production of increasingly sophisticated tissue constructs. Despite this progress, challenges still need to be addressed in achieving clinically relevant, human-scale tissue constructs, presenting a hurdle to widespread clinical translation. However, with ongoing interdisciplinary research and collaboration, the field is rapidly evolving and holds promise for personalized medical interventions. Continued development and refinement of bioprinting technologies have the potential to address complex medical needs, enabling the development of functional, transplantable tissues and organs, as well as advanced in vitro tissue models.