Biology subjects

Wilson, J. L.

Publications and source records attributed to Wilson, J. L..

9 recordsLinked to original sources

bioRxiv2026

Rhinovirus Infection of Human Airway Epithelial Cells Stimulates Neutrophil Superoxide

Background: Neutrophils migrate to the respiratory epithelium during rhinovirus (RV) infection, but whether RV directly activates neutrophils or whether activation arises from epithelial responses remains unclear. Objective: To determine whether RV directly activates human neutrophils or indirectly activates them through RV infected airway epithelial cells. Methods: Human neutrophils were exposed to purified RV, and activation was assessed by myeloperoxidase activity, CD11b/CD66b expression, and reactive oxygen species (ROS) production. Neutrophils were co-cultured with RV-infected air liquid interface (ALI) bronchial epithelium evaluated for effects on epithelial integrity. At 48 to 72 hours post-infection, we used live-cell imaging to measure ROS responses and neutrophil-tracking assays to measure migration velocity and ROS responses to basolateral supernatants, clarified apical washes, and apical debris from RV-infected epithelial cells. Plaque assays were used to assess for RV infectivity after incubation with apical neutrophils. Results: RV did not directly activate neutrophils. Adding neutrophils to the apical surface of airway epithelial cells increased neutrophil ROS production at 48 to 72 hrs post-infection but did not alter epithelial cytotoxicity. Conversely, basolateral supernatants from infected cells enhanced neutrophil migration but not ROS, consistent with cytokine-mediated priming. Clarified apical washes had no effect on migration or ROS. By contrast, apical debris from infected cultures triggered a robust ROS response. Basolateral fractions from medium control or RV infected cultures did not induce ROS. Infectivity is not impacted by apical neutrophil presence. Conclusion: RV does not directly activate neutrophils. Instead, RV infected epithelial cells release basolateral factors that enhance neutrophil migration, while apical debris from infected cells drives ROS activation. These findings indicate that epithelial injury, not RV itself, is the dominant trigger of neutrophil activation during infection.

immunology↗

bioRxiv2026

Alternatively polarized neutrophils metabolically restrain macrophage-driven inflammation

Macrophage-driven inflammation underlies many inflammatory diseases, yet the mechanisms that restrain macrophage activation within inflamed tissues remain poorly understood. Using mouse models of foreign body granuloma formation and macrophage activation syndrome, we show that neutrophils accumulate at sites of inflammation and metabolically restrain macrophage-driven pathology. Neutrophil depletion or genetic impairment exacerbated tissue pathology, whereas induced neutrophilia attenuated inflammatory damage. Tissue-infiltrating neutrophils acquired an alternatively polarized state characterized by high arginase 1 activity that was regulated by an IL4Ra-STAT3-NOX2 signaling axis. Functionally, polarized neutrophils depleted extracellular arginine in an arginase 1-dependent manner, thereby limiting macrophage effector programs. Human neutrophils exhibited conserved regulation of arginase activity, and alternatively polarized neutrophils were detected in patients with sarcoidosis and macrophage activation syndrome. Together, these findings identify an arginine-dependent metabolic mechanism through which alternatively polarized neutrophils restrain macrophage-driven inflammation and reveal a previously unrecognized immune-regulatory role for these cells in chronic inflammatory disease.

immunology↗

bioRxiv2026

Stress-induced Metabolic Remodeling of Adipose and Brain Tissue revealed by Positron Emission Tomography

Stress impacts our health and triggers physiological adaptations, yet the metabolic programs engaged during stress remain incompletely understood. To fill this knowledge gap, we utilized total-body positron emission tomography (PET), multi-OMICS, and endocrine profiling to assess how various murine stress models affect systemic metabolic remodeling. We found that acute immobilization and surgery activate brown adipose tissue as part of the stress response, independently of hypothermia, thereby acting as a highly stress-sensitive metabolic hub. Additionally, we identified stress-specific hypo- and hypermetabolic signatures in different brain regions, and distinguished networks between brain and adipose tissue depots across the different stress groups. Our work presents a novel perspective on stress and its mobilization of metabolic resources and identifies PET imaging of brain and adipose tissue as a valuable, minimally invasive technique for tracking metabolic stress responses in mice, with relevance for animal welfare and disease models, and translational impact for mental health studies and preventive medicine.

physiology↗

bioRxiv2025

A computational workflow for assessing drug effects on temporal signaling dynamics reveals robustness in stimulus-specific NFκB signaling

Single-cell studies of signal transduction have revealed complex temporal dynamics that determine downstream biological function. For example, the stimulus-specific dynamics of the transcription factor NF{kappa}B specify stimulus-specific gene expression programs, and loss of specificity leads to disease. Thus, it is intriguing to consider drugs that may restore signaling specificity in disease contexts, or reduce activity but maintain signaling specificity to avoid unwanted side effects. However, while steady-state dose-response relationships have been the focus of pharmacological studies, there are no established methods for quantifying drug impact on stimulus-response signaling dynamics. Here we evaluated how drug treatments affect the stimulus-specificity of NF{kappa}B activation dynamics and its ability to accurately code ligand identity and dose. Specifically, we simulated the dynamic NF{kappa}B trajectories in response to 15 stimuli representing various immune threats under treatment of 10 representative drugs across 20 dosage levels. To quantify the effects on coding capacity, we introduced a Stimulus Response Specificity (SRS) score and a stimulus confusion score. We constructed stimulus confusion maps by employing epsilon network clustering in the trajectory space and in various dimensionally reduced spaces: canonical polyadic decomposition (CPD), functional principal component analysis (fPCA), and NF{kappa}B signaling codons (i.e. established, informative dynamic features). Our results indicated that the SRS score and the stimulus confusion map based on signaling codons are best-suited to quantify stimulus-specific NF{kappa}B dynamics confusion under pharmacological perturbations. Using these tools we found that temporal coding capacity of the NF{kappa}B signaling network is generally robust to a variety of pharmacological perturbations, thereby enabling the targeting of stimulus-specific dynamics without causing broad side-effects.

pharmacology and toxicology↗

bioRxiv2023

The Influenza B Virus Victoria and Yamagata Lineages Display Distinct Cell Tropism and Infection Induced Host Gene Expression in Human Nasal Epithelial Cell Cultures

Understanding Influenza B virus infections is of critical importance in our efforts to control severe influenza and influenza-related disease. Until 2020, two genetic lineages of influenza B virus - Yamagata and Victoria - circulated in the population. These lineages are antigenically distinct but differences in virus replication or the induction of host cell responses after infection have not been carefully studied. Recent IBV clinical isolates of both lineages were obtained from influenza surveillance efforts of the Johns Hopkins Center of Excellence in Influenza Research and Response and characterized in vitro. B/Victoria and B/Yamagata clinical isolates were recognized less efficiently by serum from influenza-vaccinated individuals in comparison to the vaccine strains. B/Victoria lineages formed smaller plaques on MDCK cells compared to B/Yamagata, but infectious virus production in primary human nasal epithelial cell (hNEC) cultures showed no differences. While ciliated epithelial cells were the dominant cell type infected by both lineages, B/Victoria lineages had a slight preference for MUC5AC-positive cells, while B/Yamagata lineages infected more basal cells. Finally, while both lineages induced a strong interferon response 48 hours after infection of hNEC cultures, the B/Victoria lineages showed a much stronger induction of interferon related signaling pathways compared to B/Yamagata. This demonstrates that the two influenza B virus lineages differ not only in their antigenic structure but in their ability to induce host innate immune responses.

microbiology↗

bioRxiv2023

Growth media affects susceptibility of air-lifted human nasal epithelial cell cultures to SARS-CoV2, but not Influenza A, virus infection.

Primary differentiated human epithelial cell cultures have been widely used by researchers to study viral fitness and virus-host interactions, especially during the COVID19 pandemic. These cultures recapitulate important characteristics of the respiratory epithelium such as diverse cell type composition, polarization, and innate immune responses. However, standardization and validation of these cultures remains an open issue. In this study, two different expansion medias were evaluated and the impact on the resulting differentiated culture was determined. Use of both Airway and Ex Plus media types resulted in high quality, consistent cultures that were able to be used for these studies. Upon histological evaluation, Airway-grown cultures were more organized and had a higher proportion of basal progenitor cells while Ex Plus-grown cultures had a higher proportion terminally differentiated cell types. In addition to having different cell type proportions and organization, the two different growth medias led to cultures with altered susceptibility to infection with SARS-CoV-2 but not Influenza A virus. RNAseq comparing cultures grown in different growth medias prior to differentiation uncovered a high degree of differentially expressed genes in cultures from the same donor. RNAseq on differentiated cultures showed less variation between growth medias but alterations in pathways that control the expression of human transmembrane proteases including TMPRSS11 and TMPRSS2 were documented. Enhanced susceptibility to SARS-CoV-2 cannot be explained by altered cell type proportions alone, rather serine protease cofactor expression also contributes to the enhanced replication of SARS-CoV-2 as inhibition with camostat affected replication of an early SARS-CoV-2 variant and a Delta, but not Omicron, variant showed difference in replication efficiency between culture types. Therefore, it is important for the research community to standardize cell culture protocols particularly when characterizing novel viruses.

microbiology↗

bioRxiv2023

Gut bacteria translocation to the brain after ischaemic stroke occurs via the sympathetic nervous system

We provide evidence that stroke-induced gut breakdown results in bacteria translocation to the ischaemic mouse brain. Inhibition of sympathetic tone reduced bacterial load in the post-stroke brain and reduced functional deficits without altering cerebral apoptosis, neuroinflammation or infarct volume. These findings indicate that the activation of the sympathetic nervous system after stroke promotes gut-derived bacteria to enter to the brain, and this process worsens motor function in mice. Abstract Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/535309v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1e78ca0org.highwire.dtl.DTLVardef@c1886forg.highwire.dtl.DTLVardef@1e45ae1org.highwire.dtl.DTLVardef@10aa224_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2021

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks

Schizophrenia is a debilitating psychiatric disorder, leading to both physical and social morbidity. Worldwide 1% of the population is struggling with the disease, with 100,000 new cases annually only in the United States. Despite its importance, the goal of finding effective treatments for schizophrenia remains a challenging task, and previous work conducted expensive large-scale phenotypic screens. This work investigates the benefits of Machine Learning for graphs to optimize drug phenotypic screens and predict compounds that mitigate abnormal brain reduction induced by excessive glial phagocytic activity in schizophrenia subjects. Given a compound and its concentration as input, we propose a method that predicts a score associated with three possible compound effects, i.e., reduce, increase, or not influence phagocytosis. We leverage a high-throughput screening to prove experimentally that our method achieves good generalization capabilities. The screening involves 2218 compounds at five different concentrations. Then, we analyze the usability of our approach in a practical setting, i.e., prioritizing the selection of compounds in the SWEETLEAD library. We provide a list of 64 compounds from the library that have the most potential clinical utility for glial phagocytosis mitigation. Lastly, we propose a novel approach to computationally validate their utility as possible therapies for schizophrenia. Author summaryPhagocytosis is a fundamental biological process to protect biological organisms from exogenous infectious particles as well as to preserve equilibrium and efficiency of the host by removing its unwanted cells. A dysregulation of the phagocytic activity can lead to severe consequences for the host. In this study, we focus on a recent theory that relates an excessive phagocytic activity in brain cells, and a consequent abnormal reduction in brain volume, to the development of schizophrenia. Our working hypothesis is that pharmaceutical compounds that can reduce excessive of phagocytic activity might prove effective as a schizophrenia treatment. Rather than attempting to develop ex-novo such a chemical compound, we rely on a more cost-effective and efficient approach that seeks candidate therapies in a set of approved chemical compounds. To achieve this, we train a machine learning model capable of predicting, with good accuracy, the ability of a molecular compound to increase or decrease phagocytosis in the target brain cells. Our approach leverages learning models capable of directly processing the molecular graph of the compound, leading to the identification of 64 candidate drugs of potential clinical utility.

bioinformatics↗

bioRxiv2020

Speech-in-noise intelligibility difficulties with age: the role of cochlear synaptopathy

Speech intelligibility declines with age and sensorineural hearing damage (SNHL). However, it remains unclear whether cochlear synaptopathy (CS), a recently discovered form of SNHL, significantly contributes to this issue. CS refers to damaged auditory-nerve synapses that innervate the inner hair cells and there is currently no go-to diagnostic test available. Furthermore, age-related hearing damage can comprise various aspects (e.g., hair cell damage, CS) that each can play a role in impaired sound perception. To explore the link between cochlear damage and speech intelligibility deficits, this study examines the role of CS for word recognition among older listeners. We first validated an envelope-following response (EFR) marker for CS using a Budgerigar model. We then applied this marker in human experiments, while restricting the speech materials frequency content to ensure that both the EFR and the behavioral tasks engaged similar cochlear frequency regions. Following this approach, we identified the relative contribution of hearing sensitivity and CS to speech intelligibility in two age-matched (65-year-old) groups with clinically normal (n=15, 8 females) or impaired audio-grams (n=13, 8 females). Compared to a young normal-hearing control group (n = 13, 7 females), the older groups demonstrated lower EFR responses and impaired speech reception thresholds. We conclude that age-related CS reduces supra-threshold temporal envelope coding with subsequent speech coding deficits in noise that cannot be explained based on hearing sensitivity alone. Significance StatementTemporal bone histology reveals that cochlear synaptopathy (CS), characterized by damage to inner hair cell auditory nerve fiber synapses, precedes sensory cell damage and hearing sensitivity decline. Despite this, clinical practice primarily evaluates hearing status based on audiometric thresholds, potentially overlooking a prevalent aspect of sensorineural hearing damage due to aging, noise exposure, or ototoxic drugs--all of which can lead to CS. To address this gap, we employ a novel and sensitive EEG-based marker of CS to investigate its relationship with speech intelligibility. This study addresses a crucial unresolved issue in hearing science: whether CS significantly contributes to degraded speech intelligibility as individuals age. Our study-outcomes are pivotal for identifying the appropriate target for treatments aimed at improving impaired speech perception.

neuroscience↗