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Morin, B.

Publications and source records attributed to Morin, B..

7 recordsLinked to original sources

Persistent Staphylococcus aureus in human musculoskeletal tissues despite targeted antibiotic therapy

Staphylococcus aureus is a leading cause of musculoskeletal infection with frequent recurrence despite surgery and antibiotic therapy. Its persistence in human tissues under antibiotic pressure remains unclear. We performed longitudinal in situ analyses of matched tissue samples before and during therapy from patients undergoing repeated surgery using advanced imaging and tissue-based metagenomics. S. aureus remained detectable in all samples--including culture-negative specimens--and whole-genome sequencing confirmed persistence of the infecting strain. Antibiotic initiation reduced bacterial burden by 1.0Slog10 bacteria/mm3 but residual loads stabilized thereafter. Quantitative imaging identified a culture detection threshold ([~]103bacteria/mm3), indicating that culture negativity reflects diagnostic sensitivity limits rather than true bacterial clearance. Persistence under antibiotic therapy was associated with high baseline burden and intracellular sequestration, whereas long-term persistence was characterized by predominantly extracellular bacteria capable of driving relapse. These findings reveal sustained tissue persistence despite apparent microbiological clearance and guide precision strategies to target resilient bacterial reservoirs.

microbiology↗

Heterogeneous dynamics of mobile genetic elements encode and spread antibiotic persistence in bacteria

Bacterial persisters are nonreplicating cells that transiently evade antibiotic killing within an otherwise susceptible, replicating population. While persister formation has traditionally been attributed to phenotypic heterogeneity, reversible functional variations among genetically identical cells, most studies lack direct genomic evidence to exclude the contribution of cryptic and reversible genetic variations. Here, we demonstrate that the dynamics of the Legionella pneumophila integrative and conjugative element (ICEs) pP36 encode and disseminate antibiotic persistence-like traits. During biofilm formation, pP36 undergoes heterogeneous chromosomal excision generating a subpopulation of nonreplicating persisters-like bacteria with a distinct molecular profile. pP36-mediated L. pneumophila growth rate heterogeneity significantly enhances bacterial survival under fluoroquinolone treatment. Our findings reveal that pP36 dynamics not only orchestrate physiological diversity but also serve as a vehicle for horizontal transfer of antibiotic persistence mechanisms among clinical Legionella isolates. While ICEs are recognized as key drivers of antibiotic resistance dissemination, this study establishes that ICEs-mediated phenotypic variations is a critical determinant of persister-like cell formation, reshaping our understanding of bacterial adaptability to antibiotic stress.

microbiology↗

Microgeography of staphyloccoci in human tissue explains antibiotic failure

Summary paragraphBacterial infections remain a major health threat, yet pathogen biology in human tissues is poorly understood. Using AI-guided imaging, we mapped [~]15,500 Staphylococcus aureus cells in biopsies from 33 patients undergoing surgery for musculoskeletal infections. Despite substantial interindividual variability, consistent patterns emerged. Most bacteria resided within non-classical monocytes/macrophages, challenging models of primarily extracellular pathogenesis. Both intra- and extracellular bacteria were predominantly isolated single cells or doublets with low rRNA content, suggesting limited replication. Complementary proteomics implicated inflammation-associated hypoxia and host glucose-to-lactate metabolism as growth constraints. Preoperative antibiotic therapy failed to clear bacteria across microenvironments and cluster sizes, challenging assumptions that antibiotic tolerance is confined to intracellular niches or biofilms and underscoring the clinical need for debridement. In vitro models replicating diverse tissues conditions impaired antibiotic activity, indicating multifactorial resilience. Together, these findings redefine S. aureus infection biology in musculoskeletal infections and establish a framework for mechanism-based prevention and therapy.

microbiology↗

Dopaminergic mechanisms of dynamical social specialization in mouse microsocieties

Social organization and division of labor are fundamental to animal societies, but how do these structures emerge from individual interactions, and what role does neuromodulation play in shaping them? Using behavioral tracking in a semi-natural environment, neural recordings, and computational models integrating reinforcement and social learning, we show that groups of three isogenic mice spontaneously develop specialized roles while solving a foraging task requiring individual decisions under social constraints. Moreover, these roles are shaped by dopaminergic activity in the ventral tegmental area. Strikingly, despite minor sex-differences in behavior when mice were tested alone, male triads formed stable worker-scrounger relationships driven by competition, whereas female triads adopted uniform, cooperative strategies. Model analysis revealed how intra- and inter-sex parameter differences in resource exploitation, combined with contingent and dynamic social interactions, drive behavioral specialization and labor division. Most notably, it highlighted how contingency, amplified by competition, magnifies individual differences and shapes social profiles. The plastic, adaptive nature of social organization within triads was confirmed by manipulating dopaminergic cell activity, which reshaped social roles and altered group structure. Our findings support a feedback loop where social context shapes neural states, which in turn reinforce behavioral specialization and stabilize social structures.

neuroscience↗

A new spatial multi-omics approach to deeply characterize human cancer tissue using a single tissue section

In the ever-changing world of digital pathology, being able to extract a maximum amount of information from a patient tissue sample is of paramount importance for better diagnosis, disease characterization, and therapeutic strategies. Recent technologies such as multiplex immunofluorescence imaging and spatial transcriptomic now enable a deep analysis of protein and gene expression while retaining the spatial context of the tissue. Here, we describe an innovative approach combining a 34-protein Phenocycler panel and transcriptome analysis using Visium on a single head and neck squamous cell carcinoma section. While protein analysis reveals the complexity of the immune phenotypes involved in the disease, transcriptome analysis reveals the intricate cellular states of cancer cells that coexist within the patients tumor. Finally, integrating both omics modalities, we uncover unique comparison of gene and protein expression of spatially resolved cellular subspaces.

cancer biology↗

Virally encoded single-chain antibody fragments targeting alpha-synuclein protect against motor impairments and neuropathology in a mouse model of synucleinopathy

Parkinsons disease (PD) is a neurodegenerative disorder mainly characterized by the loss of dopaminergic neurons from the substantia nigra. Affected neurons exhibit intracellular aggregates primarily composed of misfolded and phosphorylated alpha-synuclein (aSyn). In pathological conditions, this presynaptic protein has been shown to be transmitted from cell to cell in a prion-like manner, which contributes to the progression of the disease. Single-chain variable fragments (scFvs) are small polypeptides derived from the binding domains of antibodies that are less immunogenic and have better tissue penetration compared to full antibodies. In this work, we aimed to demonstrate the potential of extracellular scFvs to slow down the propagation of pathological aSyn in an in vivo model of synucleinopathy. We generated scFvs that target aSyn, and tested two of them in a PD mouse model consisting of transgenic M83 mice injected with human aSyn pre-formed fibrils (PFFs). The sequence encoding each anti-aSyn scFv was cloned in a self-complementary AAV2 viral vector, and purified particles were administered intravenously. CNS expression of either scFv protected against the development of paralysis and limb weakness, in addition to significantly reducing pathologic aggregates of phosphorylated aSyn in the brain. Moreover, in vitro results in human iPSCs-derived dopaminergic neurons suggest that the scFvs can mitigate aSyn spreading by preventing its internalization. Overall, our findings demonstrate that single-chain antibody fragments exhibit strong therapeutic potential in a preclinical mouse model. Thus, our minimally invasive, gene-mediated immunotherapy approach has the potential to serve as an effective treatment for halting the progression of Lewy body diseases.

neuroscience↗

A Far-Red Fluorescent Probe to Visualize Staphylococcus aureus in Patient Samples

Staphylococcus aureus (S. aureus) is the leading bacterial cause of death in high-income countries and can cause invasive infections at various body sites. These infections are associated with prolonged hospital stays, a large economic burden, considerable treatment failure, and mortality rates. So far, there is only limited knowledge about the specific locations where S. aureus resides in the human body during various infections. Hence, the visualization of S. aureus holds significant importance in microbiological research. Herein, we report the development and validation of a far-red-fluorescent probe to detect S. aureus in human biopsies from deep-seated infections. This probe displays strong fluorescence and low background in human tissues, outperforming current tools for S. aureus detection. Several applications are demonstrated, including fixed- and live-cell imaging, flow cytometry, and super-resolution bacterial imaging. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=124 SRC="FIGDIR/small/556223v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1bcf4e4org.highwire.dtl.DTLVardef@71bf45org.highwire.dtl.DTLVardef@1c468fdorg.highwire.dtl.DTLVardef@1c8baf3_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗