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Harris, C.

Publications and source records attributed to Harris, C..

At least 19 recordsLinked to original sources

Loss of Farnesoid X Receptor Signaling Promotes Choroidal Neovascularization in Mice

Choroidal neovascularization (CNV) is a defining feature of neovascular age-related macular degeneration (nAMD). Although anti-vascular endothelial growth factor (VEGF) therapies suppress neovascular activity, incomplete responses, recurrent leakage, and subretinal fibrosis remain important clinical challenges. The farnesoid X receptor (FXR) is a bile acid-activated nuclear receptor with anti-inflammatory, anti-fibrotic, and anti-angiogenic functions in other tissues, but its role in CNV is unknown. Analysis of publicly available human transcriptomic data (GSE135092) showed FXR expression in the retinal pigment epithelium (RPE)/choroid and significant downregulation in AMD-affected macular RPE/choroid. To define the role of FXR in CNV, laser photocoagulation was performed in wild-type (WT) and FXR-deficient (FXR-KO) mice, with disease progression assessed by in vivo imaging, histology, ex vivo choroidal sprouting, and endothelial cell assays. FXR expression in the RPE/choroid was reduced 14 days after laser injury. Compared with WT mice, FXR-KO mice developed larger CNV lesions, more extensive hyperfluorescence on fluorescein angiography, and increased lesion area during disease progression. FXR deficiency also impaired resolution of fibrotic remodeling. In WT mice, alpha-SMA peaked at day 14 and declined by day 21, whereas collagen I remained low throughout; in FXR-KO mice, both collagen I and alpha-SMA were significantly elevated relative to WT and remained significantly higher than WT at day 21. Consistent with these findings, FXR-deficient choroidal explants exhibited increased vascular sprouting, and FXR-KO endothelial cells formed more extensive capillary-like networks. Together, these findings identify FXR as an endogenous regulator of pathological angiogenesis, vascular leakage, mesenchymal activation, and fibrotic remodeling during CNV and provide a rationale for investigating FXR-directed strategies for nAMD.

biochemistry↗

Light spectral quality alters glandular trichome architecture more strongly than cannabinoid accumulation in Cannabis sativa

The glandular trichomes in Cannabis sativa, found predominantly on female flowers, produce and store a variety of unique phytocannabinoids, increasingly studied for their use in medicinal applications. Maximizing yield and cannabinoid profiles requires the optimization of the environmental factors that regulate plant growth. Light plays a prominent role, both as an energy source but also as an important developmental signal. Thus, optimization of lighting strategies, particularly through customizable light-emitting diode (LED) fixtures, has become a major focus of controlled-environment cannabis research. Here, we focus on the effect of blue-enriched and far red-enriched light spectra on the morphological traits and biochemical profiles of two THCA-dominant varieties: Pineapple Cough and Rocky Fire #7. Spectral composition exerts modest and genotype-specific effects on the plant development, inflorescence biomass, and cannabinoid concentration but we demonstrate a positive correlation between total yield and plant height in both varieties, regardless of spectra. We also show that growth under far-red enriched light affects the visible pigmentation in both varieties with significantly lower chlorophyll levels and paler fan and sugar leaves. Finally, we demonstrate that far-red light consistently increased the trichome stalk length in both varieties, suggesting that spectral composition can alter trichome development and morphology. Our data offers insights into cannabis development and secondary chemical profiles in response to different light spectra, allowing growers to adjust light spectra to obtain desirable cannabis traits for industrial production.

Plant Biology↗

Control of Guanine Exchange Factor Activity Using De Novo Designed Protein Inhibitors

Guanine Exchange Factors (GEF) of the Dbl family are the main activators of RhoA GTPases. GEF and GTPase activity is tightly regulated at the subcellular level with fast kinetics. Therefore, to fully understand the function of Dbl GEFs requires their study in living cells. Towards developing molecular tools that reversibly and rapidly modulate the activity of endogenous GEFs in living cells, here we developed a general platform for engineering inhibitors against members of the Dbl family of GEFs using generative protein design. Engineered proteins showed high affinity and remarkable specificity for the target GEFs and modulated GEF activity both in vitro and in cells. In a proof-of-principle example, a GEF inhibitor was coupled to a light-activated module, enabling the optogenetic control of its activity in cells. These findings show that generative protein design can create modulators of intracellular signaling and broaden the range of tools available for biological research.

cell biology↗

A Mammalian Surface Display Platform to Optimize the Antigenicity of Viral Proteins for Vaccine Design

Vaccine development often involves modifying native viral proteins to enhance their stability and antigenicity, as seen in approved Covid-19 vaccines and multiple HIV vaccine candidates currently under investigation. High throughput screening on the surface of mammalian cells enables the rapid evaluation of oligomeric, glycosylated viral proteins and the identification of mutations that improve their properties for vaccine design. Here, we developed an experimental platform that uses the PiggyBac transposon system to display libraries of viral protein variants on the surface of mammalian cells for efficient screening. This approach addresses common challenges in existing mammalian display systems, including low transfection efficiency and the development of stable cell lines for iterative selection rounds. The new platform was validated by expressing and characterizing antigenically diverse viral proteins from influenza, SARS-CoV-2, and HIV. In a further application, library screening of influenza haemagglutinin libraries identified mutations that increased binding of broadly cross-reactive antibodies to a conserved, but partially occluded, epitope of interest for the development of a universal influenza vaccine. These results demonstrate the potential of this mammalian display platform to rapidly engineer immunogens with desired antigenic properties for vaccine design.

immunology↗

Identification of molecular and clinical ALS subgroups based on TDP-43 loss of function molecular markers from population-based patient-derived iPS motor neurons

BackgroundAmyotrophic lateral sclerosis (ALS) is a uniformly fatal neurodegenerative disease characterized by progressive cortical and spinal motor neuron loss, with most patients surviving only 2-5 years post-diagnosis. While approximately 10% of cases are familial (fALS), the remaining 90% are sporadic (sALS) with unknown genetic drivers. Importantly, clinical presentations are heterogeneous in both sporadic and familial ALS, underscoring the complexity of the disease. A pathological hallmark of ALS is the mislocalization of RNA-binding protein TDP-43 from the nucleus to the cytoplasm. This mislocalization produces both loss of function consequences, such as widespread RNA processing and splicing defects, as well as potential toxic gain of function effects associated with cytoplasmic aggregation. ResultsIn this study, we used RT-PCR data from induced pluripotent stem cell-derived motor neurons derived from 180 sALS and C9orf72 fALS patients from the Answer ALS collection to identify biological subgroups based on TDP-43 loss-of-function signatures. Spectral embedding revealed four distinct molecular clusters, including one subgroup genetically similar to controls and another with the most dysregulated mRNA expression, suggesting differing disease severity. Linear mixed models were then used to assess the longitudinal trajectory of over 90 clinical measures, and the between-cluster interaction effects were evaluated. Conclusions36 clinical outcomes showed significant differences across clusters, supporting the presence of biologically and clinically distinct ALS subtypes based on the TDP-43 associated pathogenic cascade. These findings demonstrate a critical role of RNA profiling in uncovering biologically meaningful subtypes of ALS, potentially allowing for more precise prognostic tools and the development of future personalized therapeutic approaches.

neuroscience↗

Iterative immunogen optimization to focus elicited responses on a conserved, subdominant influenza hemagglutinin epitope

Designing effective vaccination strategies against genetically diverse viruses, such as HIV or influenza, is hindered by the ability of these pathogens to mutate and readily evade immune responses. While these viruses contain conserved regions that cannot easily mutate without affecting viral fitness, these sites are subdominant, meaning that they are not the primary target of antibodies elicited by natural infection or current vaccines. Here, we integrated recent advances in machine learning methods for protein structure prediction and design to engineer protein immunogens that focus immune responses on a conserved, subdominant HA epitope targeted by broadly cross-reactive influenza antibodies. Iterating between computation-guided optimization and in vivo analyses generated immunogens that faithfully displayed the target epitope and redirected humoral responses toward it upon vaccination. These results provide a blueprint for applying recent protein engineering approaches to immunogen design and may inform the development of broadly protective influenza vaccines.

immunology↗

Structure-based Generation of a Secondary Nucleation Inhibitor in alpha-Synuclein Aggregation Using a Conditional Diffusion Model

The process of -synuclein aggregation results in the formation of amyloid fibrils, which accumulate in the brain of patients affected by Parkinsons disease. Among possible therapeutic strategies to cure this disease, one approach is based on the development of compounds capable of inhibiting -synuclein aggregation. An effective inhibition could be achieved by blocking the nucleation sites on the surface of the amyloid fibrils that are responsible for their autocatalytic proliferation. Here, we report a strategy based on deep learning to achieve this goal, which uses an E(3)-equivariant conditional diffusion model. By using this approach, we designed and tested experimentally candidate small molecules. We found that one of these small molecules acts as a potent inhibitor of secondary nucleation in -synuclein aggregation. These results provide evidence that generative diffusion models offer effective tools for drug design.

biophysics↗

Longitudinal TCR repertoires in ulcerative colitis patients show features distinguishing disease states

ABSTRACT AND KEY WORDSO_ST_ABSBackgroundC_ST_ABSUlcerative colitis (UC) affects an estimated 10 million people worldwide. The exact etiology of the disease is unknown, but T cell dysregulation and aberrant activation is associated with UC--prompting research into T cell receptor (TCR) repertoires in UC patients. However, few studies have compared UC patients TCR repertoires in flare (inflamed) and remission (uninflamed) states. Moreover, this is the first dataset to our knowledge examining multiple repertoires from UC patients over time, enabling longitudinal analyses. MethodsTCR repertoires were obtained for 21 patients across multiple timepoints, yielding a total of 58 samples. Repertoires clonality, diversity, overlap, and gene usage frequencies were compared across all patients. CDR3 sequences were split into K-mers (sequences of length K), and enriched K-mers in flare and remission states were identified using GLIPH2. ResultsAlthough repertoires vary across patients, there were significant differences in the usage of 20 V{beta} genes across flare and remission states. Moreover, calculating the overlap in repertoires with enriched K-mers showed higher overlap scores than when using full TCR sequences. 622 unique enriched K-mers were identified in flare states and 495 in remission states, with only 57 overlapping between the two states. ConclusionsOverall, these results highlight the importance of analyzing V{beta} gene usage and K-mer enrichment in TCR repertoires, particularly given the lack of public clones across patient cohorts. Future studies characterizing the specific antigenic targets associated with these features will pave the way for biomarker discovery in UC. KEY MESSAGESO_LIWhat is already known? UC is a chronic condition characterized by fluctuating periods of flares and remissions, as well as aberrant immune activity. C_LIO_LIWhat is new here? TCR repertoires were obtained from UC patients colonoscopies, with multiple timepoints per patient--enabling the analysis of repertoire characteristics within and across patients over time. C_LIO_LIHow can this study help patient care? Understanding the exact immune mechanisms in UC can pave the way for biomarker discovery and advance the state of care for patients, given that current treatments are non-specific and have adverse side effects. C_LI SummaryThis article presents an analysis of T cell receptor repertoires from ulcerative colitis patient samples collected during colonoscopies, identifying genes and motifs associated with patients flare (inflamed) and remission (uninflamed) states.

immunology↗

Extensive genome evolution distinguishes maize within a stable tribe of grasses

Over the last 20 million years, the Andropogoneae tribe of grasses has evolved to dominate 17% of global land area. Domestication of these grasses in the last 10,000 years has yielded our most productive crops, including maize, sugarcane, and sorghum. The majority of Andropogoneae species, including maize, show a history of polyploidy - a condition that, while offering the evolutionary advantage of multiple gene copies, poses challenges to basic cellular processes, gene expression, and epigenetic regulation. Genomic studies of polyploidy have been limited by sparse sampling of taxa in groups with multiple polyploidy events. Here, we present 33 genome assemblies from 27 species, including chromosome-scale assemblies of maize relatives Zea and Tripsacum. In maize, the after-effects of polyploidy have been widely studied, showing reduced chromosome number, biased fractionation of duplicate genes, and transposable element (TE) expansions. While we observe these patterns within the genus Zea, 12 other polyploidy events deviate significantly. Those tetraploids and hexaploids retain elevated chromosome number, maintain nearly complete complements of duplicate genes, and have only stochastic TE amplifications. These genomes reveal variable outcomes of polyploidy, challenging simple predictions and providing a foundation for understanding its evolutionary implications in an ecologically and economically important clade.

evolutionary biology↗

A high-resolution meiotic crossover map from single-nucleus ATAC-seq reveals insights into the recombination landscape in mammalian sperm

Meiotic crossovers promote correct chromosome segregation and the shuffling of genetic diversity. However, the measurement of crossovers remains challenging, impeding our ability to decipher the molecular mechanisms that are necessary for their formation and regulation. Here we demonstrate a novel repurposing of the single-nucleus Assay for Transposase Accessible Chromatin with sequencing (snATAC-seq) as a simple and high-throughput method to identify and characterise meiotic crossovers from sperm nuclei. We first validate the feasibility of obtaining genome-wide coverage from snATAC-seq by using ATAC-seq on bulk haploid mouse sperm, ensuring adequate variant detection for haplotyping. Subsequently, we adapt droplet-based snATAC-seq for crossover detection, revealing over 25,000 crossovers in F1 hybrid mice. Comparison between wildtype and a hyper-recombinogenic Fancm-deficient mutant mouse model confirmed an increase in crossover rates in this genotype, however a distribution which was unchanged. We also find that regions with the highest rate of crossover formation are enriched for DMC1 and PRDM9, with a subset that is further enriched for DMC1 in Fancm-deficient mice. Our findings demonstrate the utility of snATAC-seq as a robust and scalable tool for high-throughput crossover detection, offering insights into meiotic crossover dynamics and elucidating the underlying molecular mechanisms. It is possible that the research presented here with snATAC-seq of haploid sperm could be extended into fertility-related diagnostics.

genetics↗

MICOS Complex Loss Governs Age-Associated Murine Mitochondrial Architecture and Metabolism in the Liver, While Sam50 Dictates Diet Changes

Background & AimsAging is associated with a significant decline in mitochondrial function in the liver, leading to an increased risk of liver disease. This study examines age-related changes in the mitochondrial structure of human and murine livers using a combination of Serial Block-Face Scanning Electron Microscopy (SBF-SEM) and mass spectrometry approaches. MethodsThis study integrates mitochondrial structure analysis in a murine model with an analysis of liver architecture, lipogenesis, and genetically regulated gene expression in human cohorts. We explored the Mitochondrial Contact Site and Cristae Organizing System (MICOS) complex using SBF-SEM, three-dimensional reconstruction with Amira software, and mass spectrometry techniques. ResultsAging leads to a reduction in mitochondrial size and complexity, resulting in changes in the metabolomic and lipidomic profiles of murine liver cells that are comparable to those observed in aged human samples. We find that genetically modeled expression of MICOS complex genes OPA1 and CHCHD3 is associated with chronic liver disease phenotypes within a large biobank population. Furthermore, we observed dysregulated mitochondrial calcium handling and increased oxidative stress due to the disruption of the MICOS complex. ConclusionOur study highlights the age-associated decline in mitochondrial complexity and metabolic regulation within the aging murine liver and the human population. We have identified that these changes are partially attributable to the age-related loss of the MICOS complex. Impact and implicationsThis study offers new insights into the changes to mitochondrial ultrastructure that occur during aging. Using SBF-SEM, the quantification of young and aged murine mitochondrial structure was performed, which had previously been an underexplored avenue for measuring mitochondrial changes. The discovery of mitochondrial ultrastructural changes, in conjunction with measurements of age-associated metabolic alterations and gene association data, provides a model for how changes in MICOS expression may modulate age-related impairment of hepatic mitochondria. These results provide a new model by which changes in MICOS protein expression may both cause and be a potential therapeutic target for age-related impairment in hepatic function. HighlightsDecreased modeled expression of CHCHD3 in individuals of European genetic ancestry is linked to liver transplant and cirrhosis, while decreased modeled expression of OPA1 in individuals of African genetic ancestry is associated with chronic liver disease and cirrhosis. Aging alters liver lipid accumulation, MICOS mRNA levels, and disease markers. Aging reduces the volume and complexity of murine liver ultrastructure. Aging and diet significantly alter the MICOS complex in mice. Knockdown of Mic60 and Chchd6 lowers Ca2+ uptake, retention, and induces oxidative stress in HepG2 cells. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/599846v3_ufig1.gif" ALT="Figure 1000"> View larger version (47K): org.highwire.dtl.DTLVardef@1cdd61corg.highwire.dtl.DTLVardef@a3fb74org.highwire.dtl.DTLVardef@1d1ad36org.highwire.dtl.DTLVardef@c2e55f_HPS_FORMAT_FIGEXP M_FIG C_FIG Liver aging causes metabolic, lipidomic, and mitochondrial structural alterations, reflecting age-dependent losses in the MICOS complex. Key components of the MICOS complex (MIC60, CHCHD3 and CHCHD6) are illustrated.

physiology↗

The MICOS Complex Regulates Mitochondrial Structure and Oxidative Stress During Age-Dependent Structural Deficits in the Kidney

Due to aging, the efficiency of kidney function begins to decrease. Dysfunction in mitochondria and their cristae is a hallmark of aging. Therefore, age-related decline in kidney function could be attributed to changes in mitochondrial ultrastructure, increased reactive oxygen species, and alterations in metabolism and lipid composition. We sought to understand how mitochondrial ultrastructure is altered over time in tubular kidney cells. A serial block facing-scanning electron microscope and manual segmentation using the Amira software were employed to visualize murine kidney samples during the aging process at 3 months (young) and 2 years (old). We found that 2-year mitochondria are more fragmented with many uniquely shaped mitochondria observed across aging, concomitant with shifts in ROS, metabolomics, and lipid homeostasis. Furthermore, we demonstrate that the mitochondrial contact site and cristae organizing system (MICOS) complex is impaired in the kidney during aging. Disruption of the MICOS complex resulted in altered mitochondrial metabolic function and increased ROS levels. We found significant, detrimental structural changes in the mitochondria of aged kidney tubules, suggesting a potential mechanism underlying the increased frequency of kidney disease with aging. We hypothesize that disruption of the MICOS complex exacerbates mitochondrial dysfunction, creating a vicious cycle of mitochondrial degradation and oxidative stress, which impacts kidney health. Impact and ImplicationsDue to aging, the efficiency of kidney function begins to decrease, and the risk of kidney diseases may increase; however, the specific regulators of mitochondrial age-related changes are poorly understood. This study demonstrates that the MICOS complex may be a target for mitigating age-related mitochondrial changes. The MICOS complex is associated with oxidative stress and calcium dysregulation, which also arise in many kidney pathologies. HighlightsO_LIAging alters the MICOS mRNA levels and disease markers. C_LIO_LIAging reduces cristae architecture, mitochondrial volume and complexity in murine kidney ultrastructure C_LIO_LIReducing MIC60 and CHCHD6 lowers Ca2+ uptake and retention and induces oxidative stress in HEK cells. C_LIO_LIMetabolomic Profiling revealed that NAD+ and amino acid metabolism were altered in aged kidneys. C_LIO_LIMICOS deficiency alters the reduced basal, ATP-linked, maximal capacity and spare capacity. C_LIO_LIDecreased modeled expression of CHCHD6 in individuals of European genetic ancestry is linked to chronic kidney disease, whereas decreased modeled expression of OPA1 in individuals of African genetic ancestry is associated with chronic kidney disease. C_LI Graphical AbstractKidney aging causes a decline in the MICOS complex, concomitant with metabolic, lipidomic, and mitochondrial structural alterations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/598108v3_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@1a868f0org.highwire.dtl.DTLVardef@1817bfborg.highwire.dtl.DTLVardef@1f2a1a3org.highwire.dtl.DTLVardef@520692_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D conformational diversity. We introduce gRNAde, a geometric RNA design pipeline operating on 3D RNA backbones to design sequences that explicitly account for structure and dynamics. gRNAde uses a multi-state Graph Neural Network and autoregressive decoding to generates candidate RNA sequences conditioned on one or more 3D backbone structures where the identities of the bases are unknown. On a single-state fixed backbone re-design benchmark of 14 RNA structures from the PDB identified by Das et al. (2010), gRNAde obtains higher native sequence recovery rates (56% on average) compared to Rosetta (45% on average), taking under a second to produce designs compared to the reported hours for Rosetta. We further demonstrate the utility of gRNAde on a new benchmark of multi-state design for structurally flexible RNAs, as well as zero-shot ranking of mutational fitness landscapes in a retrospective analysis of a recent ribozyme. Experimental wet lab validation on 10 different structured RNA backbones finds that gRNAde has a success rate of 50% at designing pseudoknotted RNA structures, a significant advance over 35% for Rosetta. Open source code and tutorials are available at: github.com/chaitjo/geometric-rna-design

bioinformatics↗

Gene Network Analyses Identifies Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes

RNA-sequencing and differential gene expression studies have significantly advanced our understanding of pathogenic pathways underlying Rheumatoid Arthritis (RA). Yet, little is known about cell-specific regulatory networks and their contributions to disease. In this study, we focused on fibroblast-like synoviocytes (FLS), a cell type central to disease pathogenesis and joint damage in RA. We used a strategy that computed sample-specific gene regulatory networks (GRNs) to compare network properties between RA and osteoarthritis FLS. We identified 28 transcription factors (TFs) as key regulators central to the signatures of RA FLS. Six of these TFs are new and have not been previously implicated in RA, and included BACH1, HLX, and TGIF1. Several of these TFs were found to be co-regulated, and BACH1 emerged as the most significant TF and regulator. The main BACH1 targets included those implicated in fatty acid metabolism and ferroptosis. The discovery of BACH1 was validated in experiments with RA FLS. Knockdown of BACH1 in RA FLS significantly affected the gene expression signatures, reduced cell adhesion and mobility, interfered with the formation of thick actin fibers, and prevented the polarized formation of lamellipodia, all required for the RA destructive behavior of FLS. This is the first time that BACH1 is shown to have a central role in the regulation of FLS phenotypes, and gene expression signatures, as well as in ferroptosis and fatty acid metabolism. These new discoveries have the potential to become new targets for treatments aimed at selectively targeting the RA FLS.

bioinformatics↗

Engineered Immunogens to Expose Conserved Epitopes Targeted by Broad Coronavirus Antibodies

Immune responses to SARS-CoV-2 primarily target the receptor binding domain of the spike protein, which continually mutates to escape acquired immunity. Other regions in the spike S2 subunit, such as the stem helix and the segment encompassing residues 815-823 adjacent to the fusion peptide, are highly conserved across sarbecoviruses and are recognized by broadly reactive antibodies, providing hope that vaccines targeting these epitopes could offer protection against both current and emergent viruses. Here we employed computational modeling to design scaffolded immunogens that display the spike 815-823 peptide and the stem helix epitopes without the distracting and immunodominant RBD. These engineered proteins bound with high affinity and specificity to the mature and germline versions of previously identified broadly protective human antibodies. Epitope scaffolds interacted with both sera and isolated monoclonal antibodies with broadly reactivity from individuals with pre-existing SARS-CoV-2 immunity. When used as immunogens, epitope scaffolds elicited sera with broad betacoronavirus reactivity and protected as "boosts" against live virus challenge in mice, illustrating their potential as components of a future pancoronavirus vaccine.

immunology↗

The Development and Validation of a Portable, Benchtop, Hydrostatic Model to Acquire and Analyze Quantitative Data on Unused and Failed Hydrocephalus Catheters

IntroductionDespite the prevalence of shunt failure in the treatment of hydrocephalus and the near-constant need for shunt revisions, there are a limited number of methods that yield quick, quantifiable measures of catheter obstruction. We developed and assessed a gravity-driven device that measures flow through ventricular catheters. The model provides neurosurgeons with a quick, simple device that can send useful data to researchers. It can also be used by researchers to quantitatively compare catheter obstruction between different models of catheters. The model was used in this study to quantitatively analyze unused ventricular catheters used in the treatment of hydrocephalus; failed hydrocephalus catheters from our catheter biorepository were also quantitatively analyzed using the same device. The mechanisms of catheter obstruction are still poorly understood, but the literature suggests that resistance to fluid flow plays a significant role. MethodsCatheters of three manufacturing companies were inserted into the benchtop model, which records time, flow rate, and pressure data using sensors. The relative resistances of catheters across six design models were evaluated. Experiments were performed to evaluate changes in the relative resistance of a catheter when the catheters holes were progressively closed. Relative resistance of explanted catheters from our catheter biorepository was also measured. ResultsExperimental results showed significant differences (P < 0.05) between the relative resistances of different catheter models just after being removed from their packaging. Furthermore, a trend of increasing resistance was observed in the experiments on catheters with manually plugged ventricular catheter holes. Data from five individual benchtop models were compared, and the differences in measured data between the models were found to be negligible. A significant increase (P < 0.05) in relative resistance was observed in explanted catheters. ConclusionThe current study is meant both to validate the proposed model and to examine data on differences in relative resistance among catheter models. From these experiments, we can rapidly correlate clinical patient cohorts to identify mechanisms of luminal shunt obstruction. Collecting data for predictive analyses of potential patient outcomes is an area of potential future work, assuming sufficient sample size.

bioengineering↗

Treatment of Hydrocephalus by Decreasing Inflammatory Cytokine Response Using GIT 27

BackgroundSurgical insertion of a ventricular shunt initiates a cytokine response shown to play a role in shunt failure caused by obstruction. These pro-inflammatory and anti-inflammatory cytokines cause astrocytes, amongst others, to enter an activated state which causes an increase in attachment. 4,5-Dihydro-3-phenyl-5-isoxazoleacetic acid (GIT 27) is a reagent with immunomodulatory properties which acts by blocking the main signaling protein on astrocytes and microglia called toll-like receptor 4 (TLR-4). MethodsIn this experiment, we tested the effect of GIT 27 on astrocytes when used as a pre-treatment, simultaneous treatment, and post-treatment relative to shunt insertion represented by the introduction of IL-1{beta} or IL-10. Control, DMSO vehicle control, and GIT 27 treated sample groups were assayed for cell counts and cytokine concentration data. ResultsExposure of astrocytes to suspended GIT 27 in a DMSO vehicle caused a decrease in cell attachment and a significant decrease in the concentration of the majority of cytokines. Comparisons of GIT 27 exposure times, represented by pre-, simultaneous, and post-treatment groups, showed that pre-treatment with GIT 27 is most effective at decreasing cellular attachment where post-treatment was generally the most effective at decreasing pro-inflammatory cytokine concentrations. In future practice, this could be embodied by pharmacologic dosing prior to shunting and/or slow release from the shunt surface. ConclusionsGIT 27 is most effective at decreasing cell counts and cytokines when in-suspension compared to when attached to the shunt surface. Our data show that GIT 27 has the potential to be used as an effective way to modulate the cytokine response associated with shunt insertion.

neuroscience↗

CD98 is critical for a conserved inflammatory response to diverse injury stimuli relevant to IPF exacerbations and COVID pneumonitis

Progressive fibrosing interstitial lung diseases (PFILDs) cause substantial morbidity and mortality. Antifibrotic agents slow progression, but most of the clinical need remains unmet. The archetypal PFILD is idiopathic pulmonary fibrosis (IPF). Chronic progression is driven by transforming growth factor (TGF-){beta}1 signalling. It is punctuated by inflammatory flares known as acute exacerbations (AE-IPF), which are associated with accelerated decline and high mortality. We hypothesized that acute injury responses underlying exacerbations and the mechanisms of chronic fibrosis overlap at the molecular level, via a cell surface assembly nucleated by galectin-3 that we term the gal-3-fibrosome. We focused upon a putative pro-inflammatory galectin-3 ligand, the CD98:integrin complex. Our data indicate CD98 and {beta}1-integrin co-localise with galectin-3 within epithelial cells in IPF lung tissue, and within 40 nm in human lung tissue treated with TGF-{beta}1 compared to controls. CD98 is required for interleukin (IL-)6 and IL-8 responses to biochemical and biophysical conditions mimicking stimuli of AE-IPF in vivo, ex vivo and in cells, and for an interstitial neutrophilic response in a mouse model. We demonstrate this pathway progresses via intracellular influx of Ca2+ mediated by TRPV4, and NF-{kappa}B activation, operating in positive feedback. Lastly we show the CD98- and galectin-3-dependence of IL-6 and IL-8 responses to the SARS-CoV-2 spike protein receptor binding domain and the conservation of this response pattern between lung epithelial cells and monocyte-derived macrophages. Taken together our findings identify CD98 as a key mediator of both pro-fibrotic and acute inflammatory responses in the lung with relevance to AE- and chronic progression of IPF, and the priming of fibrotic lungs for acute inflammatory responses. They similarly implicate CD98 and galectin-3 as mediators of COVID pneumonitis and worse outcomes in ILD patients with COVID.

cell biology↗