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Biology subjects

Solomon, T.

Publications and source records attributed to Solomon, T..

13 recordsLinked to original sources

Strategies to improve neurite outgrowth from primary neurons ingelatin methacrylate hydrogels polymerized with visible lightexposure inside a microscale 3D model

Gelatin methacrylate (GelMA) hydrogels offer many advantageous properties such as excellent biocompatibility, tunable stiffness, and rapid fabrication, making them attractive materials for neural systems-on-a-chip devices used to study axonal outgrowth in three-dimensional (3D) environments. In this study, we evaluate properties of GelMA hydrogels crosslinked with visible blue light and application of these hydrogels for encapsulation of primary dorsal root ganglion (DRG) explants inside a custom microscale device. We selected low GelMA polymer concentrations of 3 % and 6 % w/v for hydrogel preparation to create soft materials and demonstrate the effect of degree of functionalization (DoF) on stiffness of GelMA in a blue light-induced crosslinking system. Additionally, a decrease in crosslinking efficiency and stiffness of GelMA was observed upon reconstitution of the polymer in DMEM cell culture media compared to PBS. To evaluate the axonal outgrowth, DRG explants were encapsulated in various GelMA formulations and cultured for 7 days. Following incubation, the explants were fixed and immunochemically labelled with anti-beta-III-tubulin antibody. We further describe an application of custom-developed semi-automated image analysis tool together with linear mixed effects modeling to evaluate axonal outgrowth across different GelMA formulations. Among the formulations tested in our study, 3 % GelMA 95 % DoF hydrogels supported the longest neurite outgrowth suggesting that matrix properties influenced neurite extension.

bioengineering↗

U7 small nuclear RNA splice-switching therapeutics for STMN2 and UNC13A in Amyotrophic Lateral Sclerosis

TDP-43 nuclear depletion in amyotrophic lateral sclerosis (ALS) causes de-repression of cryptic exons (CEs) in multiple transcripts, including UNC13A and STMN2, disrupting synaptic transmission and neurite outgrowth. We developed a therapeutic U7 snRNA (tU7) approach that suppresses TDP-43-dependent mis-splicing, restores target gene expression, rescues neuronal functions in human iPSC-derived neurons, and shows target engagement in vivo, positioning tU7-mediated splicing correction as a promising therapeutic strategy for ALS.

neuroscience↗

Engineering a Multilayer Microfluidic Airway-On-A-Chip with Tunable GelMA Hydrogel for Physiologically Relevant Aerosol Exposure Studies

Climate change-driven increases in forest fires pose a major global health risk due to exposure to smoke containing hazardous gases and fine particulates, emphasizing the need for physiologically relevant in vitro airway models for studying smoke-induced responses. Microfluidic lung-on-a-chip technologies provide a strong foundation for in vitro airway modeling and ongoing developments are expanding their ability to incorporate multicellular organization, extracellular matrix complexity, and physiologically relevant exposure methods. This work presents the optimization and integration of a photopolymerizable gelatin methacrylate (GelMA)-based hydrogel into a microfluidic airway-on-a-chip that models the human small conducting airways and supports controlled aerosol exposure to wood smoke. The GelMA hydrogel was optimized to support fibroblast encapsulation, endothelial, and epithelial adhesion and robust mechanical stability. The device combines the hydrogel with a compartmentalized microchannel layout, and sacrificial molding to create a 3D organotypic airway culture featuring a multilayer architecture, 3D stromal matrix, and a perfusable vasculature-like lumen. Coupling the platform with a custom aerosol exposure system enables precise, biomimetic exposure to whole wood smoke. Proof-of-concept studies using transforming growth factor beta1 (TGF-{beta}1) and whole wood smoke elicited expected inflammatory and fibrotic responses, validating the platforms physiological relevance for inhalation studies and investigating smoke-induced airway remodeling and inflammation.

bioengineering↗

Cytokines of the Interleukin-1 superfamily and Interleukin-6 are associated with neuroinflammation and brain injury in Herpes Simplex Virus Encephalitis

Herpes simplex virus (HSV) is the leading cause of encephalitis, with high rates of morbidity and mortality. Dysregulated immune responses have been associated with poor outcomes in small series, driving interest in immunotherapies. However, the key mediators of neuropathology, their cellular sources, and responsiveness to corticosteroid treatment remain unknown. We present findings from an RCT of dexamethasone in 55 adults with HSV encephalitis, alongside a representative murine model. Clinical severity and adverse outcomes were associated with neuroglial injury biomarkers (GFAP, tau, UCH-L1), increased cerebral oedema on MRI, and higher IL-1RA, IL-18, and IL-6. These mediators were more abundant in matched CSF than serum, and were not reduced by dexamethasone. In the model, neurons, astrocytes and microglia robustly expressed IL-1 and IL-6, supporting their CNS origin. These findings identify IL-1 and IL-6 signalling as key drivers of immunopathology in HSV encephalitis and potential therapeutic targets to mitigate neuroinflammation and improve outcomes. FundingNational Institute for Health and Care Research (grant number 12/205/28).

neuroscience↗

Perfusion Bioreactor Culture Incorporating Mechanical Confinement Enhances Mesenchymal Stem Cell Extracellular Vesicle Production and Wound Healing Potential

Mesenchymal stem cell extracellular vesicles (MSC EVs) have been widely studied for regenerative medicine and tissue repair applications. However, clinical translation of EV therapeutics has been hampered by low potency and lack of scalable production strategies. This work aims to develop a novel approach that exploits the mechanosensitivity of MSCs to enhance EV potency in the context of enhanced production via bioreactor culture. MSCs are well known to respond to mechanical stimuli such as substrate stiffness and shear stress, and here it is shown that exposing MSCs to another mechanoregulatory parameter, confinement, enhances the pro-angiogenic bioactivity of their EVs. This is consistent across both donor-derived primary MSCs and induced pluripotent stem cell-derived MSCs (iMSCs). The development of a 3D-printed perfusion bioreactor system that enables culture of confined MSCs under flow is also detailed here, resulting in a 67-fold increase in EV production compared to flask culture. iMSC EVs obtained downstream of this confinement-bioreactor culture induce greater vascularization and generally improve wound healing in a diabetic mouse model compared to iMSC EVs from conventional tissue culture. Overall, this work establishes the development of a scalable, bioreactor-based iMSC EV production platform that provides a solution to major translational bottlenecks of therapeutic EVs.

bioengineering↗

Wound healing and angiogenic profiling of dermal endothelial cells isolated from people with type 2 diabetes.

Impaired wound healing in type 2 diabetes (T2D) is associated with microvascular dysfunction and remains a significant clinical challenge. We aimed to determine whether primary human dermal microvascular endothelial cells (HDMVECs) from individuals with T2D exhibit abnormal cellular functions, and whether exposure to T2D serum impacts healthy endothelial function. In Experiment 1, T2D-HDMVECs displayed paradoxically higher migratory and angiogenic capacities than their healthy counterparts, despite markedly reduced eNOS expression and disrupted endothelial-identity gene expression. In Experiments 2 and 3, healthy HDMVECs showed decreased tube formation, nitric oxide production, and Notch/angiogenesis-related gene expression after exposure to both healthy and T2D serum, suggesting the presence of serum-derived factors that inhibit these pathways. However, T2D-HDMVECs remained largely unresponsive to these serum-driven effects, reinforcing an "intrinsic" reprogramming of T2D endothelial cells. Overall, our data reveal a complex interplay between cell-autonomous alterations and extrinsic signals in diabetic endothelial dysfunction. Therapeutic strategies targeting both intrinsic cellular programs (e.g., eNOS, Notch signaling) and the circulating milieu may represent promising avenues for enhancing wound repair in patients with T2D.

physiology↗

Induced pluripotent stem cell-derived extracellular vesicles promote wound repair in a diabetic mouse model via an anti-inflammatory immunomodulatory mechanism

Extracellular vesicles (EVs) derived from mesenchymal stem/stromal cells (MSCs) have recently been widely explored in clinical trials for treatment of diseases with complex pathophysiology. However, production of MSC EVs is currently hampered by donor-specific characteristics and limited ex vivo expansion capabilities before decreased potency, thus restricting their potential as a scalable and reproducible therapeutic. Induced pluripotent stem cells (iPSCs) represent a self-renewing source for obtaining differentiated iPSC-derived MSCs (iMSCs), circumventing both scalability and donor variability concerns for therapeutic EV production. Thus, we initially sought to evaluate the therapeutic potential of iMSC EVs. Interestingly, while utilizing undifferentiated iPSC EVs as a control, we found that their vascularization bioactivity was similar and their anti-inflammatory bioactivity was superior to donor-matched iMSC EVs in cell-based assays. To supplement this initial in vitro bioactivity screen, we employed a diabetic wound healing mouse model where both the pro-vascularization and anti-inflammatory activity of these EVs would be beneficial. In this in vivo model, iPSC EVs more effectively mediated inflammation resolution within the wound bed. Combined with the lack of additional differentiation steps required for iMSC generation, these results support the use of undifferentiated iPSCs as a source for therapeutic EV production with respect to both scalability and efficacy.

bioengineering↗

Design and characterization of a protein fold switching network

Protein sequences encoding three common small folds (3, {beta}-grasp, and /{beta}-plait) were connected in a network with high-identity intersections, termed nodes. The structures of proteins around nodes were determined using NMR spectroscopy and analyzed for stability and binding function. To generate nodes, the amino acid sequence encoding a shorter fold (3a or {beta}-grasp) is embedded in the structure of the ~50% longer /{beta}-plait fold and a new sequence is designed that satisfies two sets of native interactions. This leads to protein pairs with a 3a or {beta}-grasp fold in the shorter form but an /{beta}-plait fold in the longer form. Further, embedding smaller antagonistic folds in longer folds creates critical states in the longer folds such that single amino acid substitutions can switch both their fold and function. This suggests that abrupt fold switching may be a mechanism of evolving new protein structures and functions.

biochemistry↗

The Impact of Storage Condition and Duration on Function of Native and Cargo-Loaded Mesenchymal Stromal Cell Extracellular Vesicles

As evidenced by ongoing clinical trials and increased activity in the commercial sector, extracellular vesicle (EV)-based therapies have begun the transition from bench to bedside. As this progression continues, one critical aspect to EV clinical translation is understanding the effects of storage and transport conditions. Several studies have assessed the impact of storage on EV characteristics such as morphology, uptake, and component content, but effects of storage duration and temperature on EV functional bioactivity and, especially, loaded cargo are scarcely reported. Here, EV outcomes following storage at different temperatures (room temperature, 4{degrees}C, -20{degrees}C, -80{degrees}C) for various durations as well as after lyophilization were assessed. Mesenchymal stem/stromal cell (MSC) EVs were observed to retain key aspects of their bioactivity (pro-vascularization, anti-inflammation) for up to 4-6 weeks at -20{degrees}C, -80{degrees}C, and after lyophilization. Furthermore, via in vitro assays and an in vivo wound healing model respectively, these same storage conditions were also demonstrated to enable preservation of the functionality of loaded microRNA (miRNA) as well as long non-coding RNA (lncRNA) cargo in MSC EVs. These findings extend the current understanding of how EV therapeutic potential is impacted by storage conditions and may inform best practices for handling and storage of MSC EVs for both basic research and translational purposes.

bioengineering↗

A systematic evaluation of IgM and IgG antibody assay accuracy in diagnosing acute Zika Virus infection in Brazil; lessons relevant to emerging infections

Accurate diagnostics underpin effective public health responses to emerging viruses. For viruses, such as Zika virus (ZIKV), where the viremia clears quickly, antibody-based (IgM or IgG) diagnostics are recommended for patients who present seven days after symptom onset. However, cross-reactive antibody responses can complicate test interpretation among populations where closely related viruses circulate. We examined the accuracy (proportion of samples correctly categorized as Zika-positive or negative) for antibody-based diagnostics among Brazilian residents (Rio de Janeiro) during the ZIKV outbreak. Four ZIKV ELISAs (IgM and IgG Euroimmun, IgM Novagnost and CDC MAC), two dengue ELISAs (IgM and IgG Panbio), and the ZIKV plaque reduction neutralization test (PRNT) were evaluated. Positive samples were ZIKV PCR confirmed clinical cases collected in 2015-2016 (n=169); Negative samples (n=236) were collected before ZIKV was present in Brazil ([&le;]2013). Among serum samples collected [&ge;]7 days from symptom onset, PRNT exhibited the highest accuracy (93.7%), followed by the Euroimmun IgG ELISA (77.9%). All IgM assays exhibited lower accuracy (<74%). IgG was detected more consistently than IgM among ZIKV cases using Euroimmun ELISAs (68% versus 22%). Anti-DENV IgM ELISA was positive in 41.1% of confirmed ZIKV samples tested. The Euroimmun IgG assay, although misdiagnosing 22% of samples, provided the most accurate ELISA. Anti-ZIKV IgG was detected more reliably than IgM among ZIKV patients, suggesting a secondary antibody response to assay antigens following ZIKV infection. Antibody ELISAs need careful evaluation in their target population to optimise use and minimise misdiagnosis, prior to widespread deployment, particularly where related viruses co-circulate.

microbiology↗

Targeted metagenomic sequencing enhances the identification of pathogens associated with acute infection.

The routine identification of pathogens during infection remains challenging because it relies on multiple modalities such as culture and nucleic acid amplification and tests that tend to be specific for very few of an enormous number of possible infectious agents. Metagenomics promises single-test identification, but shotgun sequencing remains unwieldy and expensive or in many cases insufficiently sensitive to detect the amount of pathogen material in a clinical sample. Here we present the validation and application of Castanet, a method for metagenomic sequencing with enrichment that exploits clinical knowledge to construct a broad panel of relevant organisms for detection at low cost with sensitivity comparable to PCR. Castanet targets both DNA and RNA, works with small sample volumes, and can be implemented in a high-throughput diagnostic setting. We used Castanet to analyse plasma samples from 573 patients from the GAinS sepsis cohort and CSF samples from 243 patients from the ChiMES meningitis cohort that had been evaluated using standard clinical microbiology methods, identifying relevant pathogens in many cases where no pathogen had previously been detected. Castanet is intended for use in defining the distribution of pathogens in samples, diseases and populations, for large-scale clinical studies and for verifying the performance of routine testing regimens. By providing sequence as output, Castanet combines pathogen identification directly with subtyping and phylo-epidemiology.

microbiology↗

TREM-1 activation is a key regulator in driving severe pathogenesis of enterovirus 71 infection

Hand, foot and mouth disease (HFMD), caused by enterovirus 71 (EV71), presents mild to severe disease, and sometimes fatal neurological and respiratory manifestations. However, reasons for the severe pathogenesis remain undefined. To investigate this, infection and viral kinetics of EV71 isolates from clinical disease (mild, moderate and severe) from Sarawak, Malaysia, were characterized in human rhabdomyosarcoma (RD), neuroblastoma (SH-SY5Y) and peripheral blood mononuclear cells (PBMCs). High resolution transcriptomics was used to decipher EV71-host interactions in PBMCs. Ingenuity analyses revealed similar pathways triggered by all EV71 isolates, although the extent of activation varied. Importantly, several pathways were found to be specific to the severe isolate, including triggering receptor expressed on myeloid cells 1 (TREM-1) signaling. Depletion of TREM-1 in EV71-infected PBMCs with peptide LP17 resulted in decreased levels of pro-inflammatory genes, and reduced viral loads for the moderate and severe isolates. Mechanistically, this is the first report describing the transcriptome profiles during EV71 infections in primary human cells, and the involvement of TREM-1 in the severe disease pathogenesis, thus providing new insights for future treatment targets.

immunology↗

Complete assembly of a dengue virus type 3 genome from a recent genotype III clade by metagenomic sequencing of serum

BackgroundMosquito-borne flaviviruses causing diseases such as dengue and Japanese encephalitis are devastating, particularly in the tropics. Although, multiple flaviviruses are known to co-circulate in India, when a patient presents with febrile illness, testing is usually limited to specific pathogens. Unbiased metagenomic sequencing of febrile cases can reveal the presence of multiple pathogens and provide complete genome information. Sequence information, a cornerstone for tracing virus evolution, is relevant for the design of vaccines and therapeutics. In order to assess the usefulness of unbiased metagenomic sequencing for the identification of viruses associated with febrile illness, we sequenced serum from four individuals and plasma from one individual, all hospitalized at a tertiary care centre in South India with severe or prolonged febrile illnesses, together with one healthy control in 2014.\n\nResultsWe identified and assembled a complete dengue virus type 3 (DENV3) sequence from the serum of a case classified as severe dengue. We also found a small number of Japanese encephalitis virus (JEV) sequences in the serum of two adults with febrile illness, including the one who had dengue. Phylogenetic analysis of the dengue sequence indicates that it belongs to a predominantly Asian, DENV3, genotype III clade. It had an estimated divergence time of 13.86 years (95% Highest Posterior Densities 12.94 - 14.83 years) with the closest Indian strain. Amino acid substitutions were present throughout the sequenced genome, including 11 substitutions in the antigenic envelope protein compared to the strain used for the development of the first commercial dengue vaccine. Of these one substitution (E361D) was unique and six were in critical antigenic sites.\n\nConclusionsWe demonstrate that both genome assembly and detection of a low number of viral sequences are possible by unbiased sequencing of clinical material. Complete dengue virus sequence analysis places the sequenced genome in a recent, predominantly Asian clade within genotype III of DENV3. The detection of JEV, an agent not routinely tested in febrile illness in India, warrants further analysis and highlights the need to study co-circulating flaviviruses in parallel.

microbiology↗