Biology subjects

Armstrong, H.

Publications and source records attributed to Armstrong, H..

5 recordsLinked to original sources

bioRxiv2025

Mechanistic insight into the regulation of virulence factor type 1 pili in pathogenic E. coli by rhomboid protease GlpG

With the rise in antimicrobial resistance, understanding the virulence factors utilized by pathogenic E. coli is essential for the development of alternative therapeutics. While previous work has shown that disruption of the E. coli rhomboid protease gene glpG leads to defects in bacterial colonization, here we provide mechanistic insight into the loss of fitness. We show GlpG is essential for the assembly of type 1 pili, a virulence factor required for the colonization of eukaryotic cells. Since pili are critical for biofilm formation and bacterial persistence, the absence of GlpG proteolytic activity reduces the production of biofilm. Working towards new potential antimicrobial targets for treating infections, we show that biofilm formation is hampered by GlpG inhibition. Our data demonstrates that GlpG plays a key role in protein quality control of type 1 pili and alters the paradigm for GlpG proteolysis, previously implicated in the cleavage of only membrane embedded substrates.

biochemistry↗

bioRxiv2025

Social stress worsens colitis through beta-adrenergic-driven oxidative stress in intestinal mucosal compartments

AbstractPsychological stress is a known risk factor for inflammatory bowel disease (IBD), but the mechanisms linking stress to worsened disease remain unclear. Because distinct stress paradigms activate different neuroimmune circuits, it is critical to investigate model-specific effects. We examined how social stress primes the gut for heightened inflammation and whether this is mediated by specific neuroendocrine pathways, including 2-/{beta}-adrenergic (sympathetic) or glucocorticoid/ corticotropin-releasing hormone receptor (CRHR1) (HPA axis) signaling. Mice were exposed to social disruption (SDR) stress and pre- treated with pharmacological antagonists targeting 2-adrenergic receptors (idazoxan), {beta}-adrenergic receptor ({beta}-AR) (propranolol), glucocorticoid receptor (mifepristone), or CRHR1 (antalarmin). Intestinal epithelial cell (IEC) gene expression and microbiota composition were assessed following SDR. To determine disease impact, SDR was combined with either Citrobacter rodentium infection or dextran sulfate sodium (DSS)-induced colitis, with interventions including the {beta}-AR inhibitor propranolol and the NADPH oxidase inhibitor apocynin. SDR significantly upregulated expression of Dual oxidase 2 (Duox2), Dual oxidase maturation factor 2 (Duoxa2), and inducible nitric oxide synthase 2 (Nos2) in IECs (2- to 8- fold, p < 0.0001), effects reversed by {beta}-AR blockade but not 2-adrenergic, CRH, or glucocorticoid inhibition. SDR also induced microbial dysbiosis, characterized by reduced alpha-diversity and compositional shifts, which was rescued by propranolol. Stress exacerbated disease severity in both infectious (C. rodentium) and chemically induced (DSS) colitis, amplifying colonic expression of Duox2, Nos2, and Ccl2, especially. Apocynin mitigated stress-induced ROS/RNS production and body weight loss even prior to colitis onset, reduced colonic gene expression of key oxidative enzymes, and alleviated both chemically and infectious colitis severity. These findings provide strong evidence that social stress sensitizes the gut to inflammation through {beta}-adrenergic and NADPH oxidase-driven oxidative stress, highlighting potential therapeutic targets for mitigating stress-exacerbated IBD. HighlightsSocial disruption (SDR) and restraint stress (RST) activate distinct neuroendocrine pathways, with SDR driving epithelial ROS/RNS pathways via {beta}-adrenergic signaling. {beta}-adrenergic blockade prevents SDR-induced epithelial priming, microbial dysbiosis, and colitis exacerbation. NADPH oxidase inhibition with apocynin mitigates stress-induced oxidative stress and disease severity across different colitis models. Findings identify {beta}-adrenergic and redox pathways as therapeutic targets for stress-exacerbated IBD.

immunology↗

bioRxiv2023

Proportionality-based association metrics in count compositional data

MotivationCompositional data comprise vectors that describe the constituent parts of a whole. Data arising from various -omics platforms such as 16S and RNA-sequencing are compositional in nature. However, correlations between features on raw counts have no meaningful interpretation. Metrics of proportionality were formulated to address this problem. However, there is an inherent bias that arises when calculating these metrics empirically on count-based measures due to variability in read depths. ResultsWe quantify the bias introduced by empirically calculating proportionality-based association metrics in count data. Additionally, we propose a means of estimating these metrics within a logit-normal multinomial model in pursuit of more accurate estimates. The model-based estimates are shown to outperform empirical estimates in simulated data, and are additionally applied to a mouse embryonic stem-cell single-cell sequencing dataset as well as a pediatric-onset multiple sclerosis metagenomic dataset. Availability and ImplementationAn R package is available at https://CRAN.R-project.org/package=countprop. Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2023

PoseR - A deep learning toolbox for decoding animal behavior

The actions of animals provide a window into how their minds work. Recent advances in deep learning are providing powerful approaches to recognize patterns of animal movement from video recordings using markerless pose estimation models. There is an increasingly rich field of unsupervised and supervised methods for classifying animal behavior built upon the outputs of pose estimation models. However, these methods often rely on species and task-specific feature engineering of trajectories, kinematics and task programming. Highly generalized solutions that use only pose estimations and the inherent structure of animals and their environment provide an opportunity to develop foundational, contextual and, importantly, standardized animal behavior models for efficient and reproducible behavioral analysis. Here, we present PoseRecognition (PoseR), a behavioral classifier leveraging action recognition models using spatio-temporal graph convolutional networks. We show that it can be used to classify animal behavior quickly and accurately from pose estimations, using zebrafish larvae, Drosophila melanogaster, mice, and rats as model organisms. PoseR can be accessed using a Napari plugin, which facilitates efficient behavioral extraction for bout-like behaviour, annotation, model training and deployment. Our tool simplifies the behavioral analysis workflow by transforming coordinates of animal position and pose into semantic labels with speed and precision. Furthermore, we contribute a novel method for unsupervised clustering of behaviors and provide open-source access to our zebrafish datasets and models. The design of our tool ensures scalability and versatility for use across multiple species and contexts, improving the efficiency of behavioral analysis across fields.

neuroscience↗

bioRxiv2023

Mouse mammary tumor virus is implicated in severity of colitis and dysbiosis in the IL-10-/- mouse model of inflammatory bowel disease

BackgroundFollowing viral infection, genetically manipulated mice lacking immunoregulatory function may develop colitis and dysbiosis in a strain specific fashion that serves as a model for inflammatory bowel disease (IBD). We found that one such model of spontaneous colitis, the interleukin (IL)-10 knockout (IL-I0-/-) model derived from the SvEv mouse, had evidence of increased mouse mammary tumor virus (MMTV) viral RNA expression compared to the SvEv wildtype. MMTV is endemic in several mouse strains as an endogenously encoded betaretrovirus that is passaged as an exogenous agent in breast milk. As MMTV requires a viral superantigen to replicate in the gut associated lymphoid tissue prior to the development of systemic infection, we evaluated whether MMTV may contribute to the development of colitis in the IL-10-/- model. ResultsViral preparations extracted from IL-10-/- weanling stomachs revealed augmented MMTV load compared to the SvEv wildtype. Illumina sequencing of the viral genome revealed that the two largest contigs shared 96.4% - 97.3% identity with the mtv-1 endogenous loci and the MMTV(HeJ) exogenous virus from the C3H mouse. The MMTV sag gene cloned from IL-10-/- spleen encoded the MTV-9 superantigen that preferentially activates T cell receptor V{beta}-12 subsets, which were expanded in the IL-10-/- versus the SvEv colon. Evidence of MMTV cellular immune responses to MMTV Gag peptides was observed in the IL-10-/- splenocytes with amplified interferon-{gamma} production versus the SvEv wildtype. To address the hypothesis that MMTV may contribute to colitis, we used HIV reverse transcriptase inhibitors, tenofovir and emtricitabine, and the HIV protease inhibitor, lopinavir boosted with ritonavir, for 12 weeks treatment versus placebo. The combination anti-retroviral therapy with known activity against MMTV was associated with reduced colonic MMTV RNA and improved histological score in IL10-/- mice, as well as diminished secretion of pro-inflammatory cytokines and modulation of the microbiome associated with colitis. ConclusionsThis study suggests that immunogenetically manipulated mice with deletion of IL-10 may have reduced capacity to contain MMTV infection in a mouse-strain specific manner, and the antiviral inflammatory responses may contribute to the complexity of IBD with the development of colitis and dysbiosis.

microbiology↗