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Gillard, J.

Publications and source records attributed to Gillard, J..

3 recordsLinked to original sources

Bacteriostatic antibiotics drive bacterial death by reshaping competitive interactions

Protein synthesis inhibitors, including macrolides and tetracyclines, are classically defined as bacteriostatic because they arrest bacterial growth without directly causing death. Yet their effects vary widely across bacterial species and communities, suggesting that additional mechanisms shape their ecological impact. Here we show that the human gut commensal Escherichia coli ED1a kills the laboratory strain BW25113 specifically when protein synthesis is inhibited. We find that this killing is mediated by colicin K, a bacteriocin encoded on a plasmid carried by ED1a alongside its cognate immunity factor. Because ED1a itself is far more sensitive to protein synthesis inhibitors than BW25113 (surviving antibiotic exposure roughly 1,000-fold less efficiently), we expected antibiotic treatment to favour BW25113 in co-culture. Instead, we found that antibiotic exposure suppresses BW25113 below the population density required to coexist with colicin-producing ED1a, triggering colicin-dependent elimination of the sensitive strain, ultimately leading to the collapse of both populations. Screening a library of 1,085 E. coli isolates revealed that this antibiotic-induced, toxin-mediated killing is not unique to the ED1a-BW25113 pair but is a widely conserved interaction across natural strain combinations. Thus, a nominally bacteriostatic antibiotic can indirectly drive bacterial death by reshaping competitive dynamics between strains rather than by any direct bactericidal action. These findings reveal a previously unrecognized route by which protein synthesis inhibitors influence bacterial competition, and offer a framework for understanding how clinically important bacteriostatic antibiotics can eliminate bacterial populations and restructure microbial communities.

microbiology↗

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19

The biological determinants of the wide spectrum of COVID-19 clinical manifestations are not fully understood. Here, over 1400 plasma proteins and 2600 single-cell immune features comprising cell phenotype, basal signaling activity, and signaling responses to inflammatory ligands were assessed in peripheral blood from patients with mild, moderate, and severe COVID-19, at the time of diagnosis. Using an integrated computational approach to analyze the combined plasma and single-cell proteomic data, we identified and independently validated a multivariate model classifying COVID-19 severity (multi-class AUCtraining = 0.799, p-value = 4.2e-6; multi-class AUCvalidation = 0.773, p-value = 7.7e-6). Features of this high-dimensional model recapitulated recent COVID-19 related observations of immune perturbations, and revealed novel biological signatures of severity, including the mobilization of elements of the renin-angiotensin system and primary hemostasis, as well as dysregulation of JAK/STAT, MAPK/mTOR, and NF-{kappa}B immune signaling networks. These results provide a set of early determinants of COVID-19 severity that may point to therapeutic targets for the prevention of COVID-19 progression. SummaryFeyaerts et al. demonstrate that an integrated analysis of plasma and single-cell proteomics differentiates COVID-19 severity and reveals severity-specific biological signatures associated with the dysregulation of the JAK/STAT, MAPK/mTOR, and NF-{kappa}B immune signaling networks and the mobilization of the renin-angiotensin and hemostasis systems.

immunology↗

Neural correlates of experience with CCTV surveillance of naturalistic prosocial and antisocial interactions: a reverse correlation analysis

Previous research using reverse correlation to explore the relationship between brain activity and presented image information found that Face Fusiform Area (FFA) activity could be related to the appearance of faces during free viewing of the Hollywood movie \"The Good, the Bad, and the Ugly\" (Hasson, et al, 2004). We applied this approach to the naturalistic viewing of unedited footage of city-centre closed-circuit television (CCTV) surveillance. Two 300 second videos were used, one containing prosocial activities and the other antisocial activities. Brain activity revealed through fMRI as well as eye movements were recorded while fifteen expert CCTV operators with a minimum of 6 months experience of CCTV surveillance alongside an age and gender matched control group of fifteen novice viewers were scanned while watching the videos. Independent scans functionally localized FFA and posterior Superior Temporal Sulcus (pSTS) activity using faces/houses and intact/scrambled point-light biological motion displays respectively. Reverse correlation revealed peaks in FFA and pSTS brain activity corresponding to the expert and novice eye movements directed towards faces and biological motion across both videos. In contrast, troughs in activation corresponded to camera-induced motion when a clear view of visual targets were temporarily not available. Our findings, validated by the eye movement data, indicate that the predicted modulation of brain activity occurs as a result of salient features of faces and biological motion embedded within the naturalistic stimuli. The examination of expertise revealed that in both pSTS and FFA the novices had significantly more activated timeframes than the experienced observers for the prosocial video. However, no difference was found for the antisocial video. The modulation of brain activity, as well as the effect of expertise gives a novel insight into the underlying visual processes in an applied real-life task.

neuroscience↗