Biology subjects

Leger, J.

Publications and source records attributed to Leger, J..

3 recordsLinked to original sources

bioRxiv2026

Male and female mice achieve equivalent protection against heterologous SARS-CoV-2 infection through divergent immune mechanisms

Biological sex is a major determinant of antiviral immunity, yet how it shapes lung-resident antiviral immunity remains poorly understood. We report that prior mild SARS-CoV-2 BA.1 infection protects mice from lethal heterologous Delta challenge through distinct sex-biased immune mechanisms. Although heterologous protection is clinically equivalent between sexes, T- and B-cell depletions before BA.1 exposure abrogate protection only in males. Depletion with anti-CD4, but not anti-CD8, abolishes protection in both sexes, but co-depletion with anti-CD4/anti-CD8 partially restores protection in females only. Further, females exhibit enhanced IFN-gamma-associated myeloid inflammation upon secondary Delta infection. Using lymphoid-deficient mice that display female-biased resistance to Delta infection, IFN-gamma treatment provides partial protection to naive males against Delta. Female resistance is lost after previous BA.1 exposure, highlighting the importance of lymphoid-mediated inflammatory regulation. Together, equivalent antiviral protection against heterologous respiratory viral infection is governed by sexually dimorphic mechanisms, with significant implications for designing mucosal vaccines and immunotherapies.

immunology↗

bioRxiv2025

A Mouse Model of SARS-CoV-2-Driven Acute Maladaptive Responses and Chronic Systemic Diseases

Our understanding of SARS-CoV-2 acute and post-acute pathogenesis is hindered by the lack of adequate small animal models. We present RAB/6N, a mouse model prone to severe disease after exposure to SARS-CoV-2 clinical isolates, with lethal cases showing no widespread brain infection typical of the widely used K18-hACE2 mouse model. Lung viral replication in RAB/6N mice remains steady for several days before a decline in viral titers. Delayed initiation of infection clearance is marked by increased lung T-cell extravasation and type-2 immune responses, leading to maladaptive lung consolidation. While systemic antiviral cytokine responses only correlate with SARS-CoV-2 brain infection in K18-hACE2 mice, they are concomitant with pulmonary immune dynamics in infected RAB/6N mice. Convalescent RAB/6N mice display systemic inflammation and decreased antibody titers against SARS-CoV-2 spike RBD, persistent viral RNA and prolonged lymphoid infiltration in the lungs. These animals also exhibit signatures of multi-organ dysfunction, cognitive impairment, cardiac inflammation, hyper- immunoglobulin production, and various autoimmune disorders, illuminating the molecular correlates of various pathologies associated with post-acute sequelae of COVID-19 (PASC). RAB/6N mice pave the way for dissecting the molecular drivers underlying SARS-CoV-2-induced acute maladaptive responses and subsequent post-acute systemic diseases. This preclinical platform also opens opportunities for the exploration of therapeutic interventions against systemic PASC and for anticipating the emergence of PASC-associated comorbidities. One-sentence summaryWe generated a hACE2-transgenic mouse model that develops maladaptive lung immune responses upon acute SARS-CoV-2 infection, leading to fatal outcomes or post-acute systemic disease syndromes in convalescent animals.

microbiology↗

bioRxiv2023

Detecting Material State Changes in the Nucleolus by Label-free Digital Holographic Microscopy

Ribosome biogenesis is initiated in the nucleolus, a multiphase biomolecular condensate formed by liquid-liquid phase separation. The nucleolus is a powerful disease biomarker and stress biosensor whose morphology reflects its function. Here we have used digital holographic microscopy (DHM), a label-free quantitative phase contrast microscopy technique, to detect nucleoli in adherent and suspension cells. Subtle nucleolar alterations induced by drug treatment or by depletion of ribosomal proteins were efficiently detected by DHM. We trained convolutional neural networks to detect and quantify nucleoli automatically on DHM images of cultured human cells (HeLa). Holograms containing cell optical thickness information allowed us to define a novel nucleolar index which we used to distinguish nucleoli whose material state had been optogenetically modulated. We conclude that DHM is a powerful tool for quantitatively characterizing nucleoli, including material state, without any staining.

cell biology↗