Biomaterial Strategies for Immunomodulation

Strategies to enhance, suppress, or qualitatively shape the immune response are of importance for diverse biomedical applications, such as the development of new vaccines, treatments for autoimmune diseases and allergies, strategies for regenerative medicine, and immunotherapies for cancer. However, the intricate cellular and molecular signals regulating the immune system are major hurdles to predictably manipulating the immune response and developing safe and effective therapies. To meet this challenge, biomaterials are being developed that control how, where, and when immune cells are stimulated in vivo, and that can finely control their differentiation in vitro. We review recent advances in the field of biomaterials for immunomodulation, focusing particularly on designing biomaterials to provide controlled immunostimulation, targeting drugs and vaccines to lymphoid organs, and serving as scaffolds to organize immune cells and emulate lymphoid tissues. These ongoing efforts highlight the many ways in which biomaterials can be brought to bear to engineer the immune system.Bill & Melinda Gates FoundationUnited States. Army Research Office. Institute for Soldier Nanotechnologies (Contract W911NF-13-D-0001)Ragon Institute of MGH, MIT and HarvardCancer Research Institute (New York, N.Y.) (Irvington Postdoctoral Fellowship)National Institutes of Health (U.S.) (Awards AI104715, CA172164, CA174795, and AI095109

Pre-existing autoimmunity is associated with increased severity of COVID-19: A retrospective cohort study using data from the National COVID Cohort Collaborative (N3C)

Identifying individuals with a higher risk of developing severe COVID-19 outcomes will inform targeted or more intensive clinical monitoring and management. To date, there is mixed evidence regarding the impact of pre-existing autoimmune disease (AID) diagnosis and/or immunosuppressant (IS) exposure on developing severe COVID-19 outcomes.A retrospective cohort of adults diagnosed with COVID-19 was created in the National COVID Cohort Collaborative enclave. Two outcomes, life-threatening disease, and hospitalization were evaluated by using logistic regression models with and without adjustment for demographics and comorbidities.Of the 2,453,799 adults diagnosed with COVID-19, 191,520 (7.81%) had a pre-existing AID diagnosis and 278,095 (11.33%) had a pre-existing IS exposure. Logistic regression models adjusted for demographics and comorbidities demonstrated that individuals with a pre-existing AID (OR = 1.13, 95% CI 1.09 - 1.17; P< 0.001), IS (OR= 1.27, 95% CI 1.24 - 1.30; P< 0.001), or both (OR = 1.35, 95% CI 1.29 - 1.40; P< 0.001) were more likely to have a life-threatening COVID-19 disease. These results were consistent when evaluating hospitalization. A sensitivity analysis evaluating specific IS revealed that TNF inhibitors were protective against life-threatening disease (OR = 0.80, 95% CI 0.66- 0.96; P=0.017) and hospitalization (OR = 0.80, 95% CI 0.73 - 0.89; P< 0.001).Patients with pre-existing AID, exposure to IS, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative consequences of COVID-19

Elucidation and optimization of molecular factors for dendritic cell responses to surface presented glycans

Dendritic cells (DCs) are regulators of the immune system and express a class of pattern recognition receptors known as C-type lectin receptors (CLRs) to recognize and respond to carbohydrates (glycans). Dendritic cells are hypothesized to be key mediators in the immune response to implanted materials and ligation of CLRs has been shown to have diverse effects on DC phenotype ranging from tolerogenic to pro-inflammatory. Thus, designing future biomaterials and combination products that harness the potential of CLR ligation on DCs has great promise. Additionally, many of the proteins which adsorb to biomaterials when implanted are glycosylated and thus understanding this interaction would provide further insight into the host response to currently implanted materials. However, DC responses to glycans presented from non-phagocytosable surfaces has not been well characterized and optimal factors for DC phenotype modulation by surface presented glycans are unknown. Additionally, studies relating DC response to glycan structures from soluble and phagocytosable displays to that of non-phagocytosable display have not been performed. This is of critical importance to the field because of the extremely limited supply of complex glycan structures that are able to be obtained. Because of this limited supply of glycans the trend in glycomics has been toward creation of glycan microarrays to assess initial candidates of interest for further study. However, the assumption that cell response to these glycoconjugate microarrays is equivalent to soluble or phagocytosable conjugates has not been validated. Therefore, the purpose of this study was to 1) determine the optimal molecular contextual variables of glycoconjugate presentation from a non-phagocytosable surface, namely, charge, density, and glycan structure for modulating DC phenotype; and 2) determine if modality of glycoconjugate presentation, i.e. soluble, phagocytosable, or non-phagocytosable will modulate DC phenotype differentially. To determine the effect of the molecular contextual variables primary human immature DCs (iDCs) were exposed to a range of adsorbed glycoconjugates in a 384 well plate and their subsequent phenotype assessed via a novel in house produced high throughput (HTP) assay. Bovine serum albumin (BSA) was modified to have a range of glycan densities and isoelectric points to determine which of these were optimal for DC phenotype modulation. Next, several poly-mannose structures were presented to DCs to determine if DC response was structure specific. Finally, contextual variables were modeled in a multivariate general linear model to determine underlying trends in DC behavior and optimal factors for glycan presentation from non-phagocytosable surfaces. To determine the effect of the modality of glycoconjugate display on DCs, optimized glycoconjugates from 1) were adsorbed to the wells of a 384 flat well plate, delivered at varying soluble concentrations, or adsorbed to phagocytosable 1 µm beads and subsequent DC phenotype assessed via the HTP assay. The cell response to the glycoconjugates was then validated to be CLR mediated and the DC response to glycan modality was modeled in another general linear model. Results from these studies show that highly cationized high density glycoconjugates presented from non-phagocytosable flat well display modulate DC phenotype toward a pro-inflammatory phenotype to the greatest extent. Additionally, significant impacts on DC phenotype in response to adsorbed conjugates can be seen when grouping glycan structure by terminal glycan motif. Finally, DC response to glycoconjugates were found to be CLR mediated and that each modality of glycan display is significantly different, in terms of DC phenotype, from the others. These results provide indications for the future design of glycan microarray systems, biomaterials and combination products. Furthermore, this work indicates that different mechanisms are involved in binding and processing of surface bound versus soluble glycoconjugates. With further study these differences could be harnessed for use in the next generation of biomaterials.Ph.D

Microfluidic thrombosis under multiple shear rates and antiplatelet therapy doses.

The mainstay of treatment for thrombosis, the formation of occlusive platelet aggregates that often lead to heart attack and stroke, is antiplatelet therapy. Antiplatelet therapy dosing and resistance are poorly understood, leading to potential incorrect and ineffective dosing. Shear rate is also suspected to play a major role in thrombosis, but instrumentation to measure its influence has been limited by flow conditions, agonist use, and non-systematic and/or non-quantitative studies. In this work we measured occlusion times and thrombus detachment for a range of initial shear rates (500, 1500, 4000, and 10000 s(-1)) and therapy concentrations (0-2.4 µM for eptifibatide, 0-2 mM for acetyl-salicylic acid (ASA), 3.5-40 Units/L for heparin) using a microfluidic device. We also measured complete blood counts (CBC) and platelet activity using whole blood impedance aggregometry. Effects of shear rate and dose were analyzed using general linear models, logistic regressions, and Cox proportional hazards models. Shear rates have significant effects on thrombosis/dose-response curves for all tested therapies. ASA has little effect on high shear occlusion times, even at very high doses (up to 20 times the recommended dose). Under ASA therapy, thrombi formed at high shear rates were 4 times more prone to detachment compared to those formed under control conditions. Eptifibatide reduced occlusion when controlling for shear rate and its efficacy increased with dose concentration. In contrast, the hazard of occlusion from ASA was several orders of magnitude higher than that of eptifibatide. Our results show similar dose efficacy to our low shear measurements using whole blood aggregometry. This quantitative and statistically validated study of the effects of a wide range of shear rate and antiplatelet therapy doses on occlusive thrombosis contributes to more accurate understanding of thrombosis and to models for optimizing patient treatment

Dataset for the validation and use of DiameterJ an open source nanofiber diameter measurement tool

DiameterJ is an open source image analysis plugin for ImageJ. DiameterJ produces ten files for every image that it analyzes. These files include the images that were analyzed, the data to create histograms of fiber radius, pore size, fiber orientation, and summary statistics, as well as images to check the output of DiameterJ. DiameterJ was validated with 130 in silico-derived, digital, synthetic images and 24 scanning electron microscope (SEM) images of steel wire samples with a known diameter distribution. Once validated, DiameterJ was used to analyze SEM images of electrospun polymeric nanofibers, including a comparison of different segmentation algorithms. In this article, all digital synthetic images, SEM images, and their segmentations are included. Additionally, DiameterJ’s raw output files, and processed data is included for the reader. The data provided herein was used to generate the figures in DiameterJ: A Validated Open Source Nanofiber Diameter Measurement Tool [1], where more discussion can be found

Modeling, Validation And Verification Of Three-Dimensional Cell-Scaffold Contacts From Terabyte-Sized Images

Background: Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e., spun coat, large microfiber, and medium microfiber). Our analysis of the acquired terabyte-sized collection is motivated by the need to understand the nature of the shape dimensionality (1D vs 2D vs 3D) of cell-scaffold interactions relevant to tissue engineers that grow cells on biomaterial scaffolds. Results: We designed five statistical and three geometrical contact models, and then down-selected them to one from each category using a validation approach based on physically orthogonal measurements to CLSM. The two selected models were applied to 414 z-stacks with three scaffold types and all contact results were visually verified. A planar geometrical model for the spun coat scaffold type was validated from atomic force microscopy images by computing surface roughness of 52.35 nm ±31.76 nm which was 2 to 8 times smaller than the CLSM resolution. A cylindrical model for fiber scaffolds was validated from multi-view 2D scanning electron microscopy (SEM) images. The fiber scaffold segmentation error was assessed by comparing fiber diameters from SEM and CLSM to be between 0.46% to 3.8% of the SEM reference values. For contact verification, we constructed a web-based visual verification system with 414 pairs of images with cells and their segmentation results, and with 4968 movies with animated cell, scaffold, and contact overlays. Based on visual verification by three experts, we report the accuracy of cell segmentation to be 96.4% with 94.3% precision, and the accuracy of cell-scaffold contact for a statistical model to be 62.6% with 76.7% precision and for a geometrical model to be 93.5% with 87.6% precision. Conclusions: The novelty of our approach lies in (1) representing cell-scaffold contact sites with statistical intensity and geometrical shape models, (2) designing a methodology for validating 3D geometrical contact models and (3) devising a mechanism for visual verification of hundreds of 3D measurements. The raw and processed data are publicly available from https://isg.nist.gov/deepzoomweb/data/together with the web -based verification system

Generation of an inducible RPE-specific Cre transgenic-mouse line.

The retinal pigment epithelium (RPE) is an epithelial monolayer in the back of the vertebrate eye. RPE dysfunction is associated with retinal degeneration and blindness. In order to fully understand how dysregulation affects visual function, RPE-specific gene knockouts are indispensable. Since the currently available RPE-specific Cre recombinases show lack of specificity or poor recombination, we sought to generate an alternative. We generated a tamoxifen-inducible RPE-specific Cre transgenic mouse line under transcriptional control of an RPE-specific Tyrosinase enhancer. We characterized the Cre-mediated recombinant expression by crossing our RPE-Tyrosinase-CreErT2 mouse line with the tdTomato reporter line, Ai14. Detected fluorescence was quantified via high-content image analysis. Recombination was predominantly observed in the RPE and adjacent ciliary body. RPE flatmount preparations revealed a high level of recombination in adult mice (47.25-69.48%). Regional analysis of dorsal, ventral, nasal and temporal areas did not show significant changes in recombination. However, recombination was higher in the central RPE compared to the periphery. Higher levels of Cre-mediated recombinant expression was observed in embryonic RPE (~83%). Compared to other RPE-specific Cre transgenic mouse lines, this newly generated RPE-Tyrosinase-CreErT2 line shows a more uniform and higher level of recombination with the advantage to initiate recombination in both, prenatal and postnatal animals. This line can serve as a valuable tool for researches exploring the role of individual gene functions, in both developing and differentiated RPE