Biology subjects

Audebert, C.

Publications and source records attributed to Audebert, C..

3 recordsLinked to original sources

bioRxiv2025

MIRIAD: a Multiplex Immunoassay for Rodents Infectious and Animal Diseases

Health monitoring of laboratory rodents is essential for ensuring animal welfare, meeting regulatory requirements for zoonosis control, and maintaining the integrity and reproducibility of scientific studies. Routine serological screening, conducted in accordance with FELASA guidelines, plays a critical role in the detection of infectious agents. While conventional serological assays typically target individual pathogens, existing multiplex platforms often require specialized equipment and complex protocols, limiting their routine use within animal facilities. The MIRIAD(R) assay is a multiplex ELISA-based platform developed for in-house serological surveillance of rodents. It offers a user-friendly, reliable, and cost-effective alternative to outsourced testing. In this study, we evaluated the performance and usability of the MIRIAD(R) assay by analyzing serum samples from mice (n{square}={square}68) and rats (n{square}= 27). Results were compared to two commercially available single-target ELISAs, with 94 % to 100 % concordance observed across all tested pathogens. Assay compatibility with dried blood spot (DBS) cards was also assessed, demonstrating reliable detection after storage and elution, and supporting the potential for reduced sample volumes and simplified handling. These findings highlight MIRIAD(R) as a practical tool for routine health monitoring in laboratory animal facilities. Its ease of use, minimal sample requirements, and compatibility with DBS technology can facilitate more frequent testing, support early detection of pathogens, and promote adherence to the 3Rs principles through refinement of monitoring practices.

immunology↗

bioRxiv2023

Characterization of bovine vaginal microbiota and its relationship with host fertility, health, and production

BackgroundBecause of its potential influence on the hosts phenotype, increasing attention is paid to organ-specific microbiota in several animal species, including cattle. However, ecosystems other than those related to the digestive tract remain largely understudied. In particular, little is known about the vaginal microbiota of ruminants despite the importance of the reproductive functions of cows in a livestock context, where fertility disorders represent one of the primary reasons for culling. ResultsIn the present study, we aimed at better characterizing the vaginal microbiota of dairy cows through 16S rRNA sequencing, using a large cohort of Holstein cows from Northern France. Our results allowed to define a core microbiota of the dairy cows vagina, and highlighted that 90% of the sequences belonged to the Firmicutes, the Proteobacteria, and the Bacteroidetes phyla. The core microbiota was composed of four phyla, 16 families, 14 genera and only one amplicon sequence variant (ASV), supporting the idea of the high diversity of vaginal microbiota within the studied population. This variability was partly explained by various environmental factors such as the herd, the sampling season, the lactation rank and the lactation stage. In addition, we investigated potential associations between the diversity and the composition of the vaginal microbiota and several health-, performance-, and fertility-related phenotypes. Our analyses highlighted significant associations between the and {beta}- diversities and several traits including the first insemination outcome, the productive longevity, and the culling. Besides, relevant phenotypes were correlated with the abundance of several genera, some of which, such as Leptotrichia, Streptobacillus, Methylobacterium-Methylorubrum, or Negativibacillus, were linked to multiple traits. ConclusionConsidering the large number of samples, which were collected in commercial farms, and the diversity of the phenotypes considered, this study represents a first step towards a better understanding of the close relationship between the vaginal and the dairy cows phenotypes.

microbiology↗

bioRxiv2019

Investigation of Inter-Individual Variability in CD8 T Cell Responses with Nonlinear Mixed Effects Models

To develop vaccines it is mandatory yet challenging to account for inter-individual variability during immune responses. Even in laboratory mice, T cell responses of single individuals exhibit a high heterogeneity that may come from genetic backgrounds, intra-specific processes (e.g. antigen-processing and presentation) and immunization protocols. To account for inter-individual variability in CD8 T cell responses in mice, we propose a dynamical model coupled to a statistical, nonlinear mixed effects model. Average and individual dynamics during a CD8 T cell response are characterized in different immunization contexts (vaccinia virus and tumor). On one hand, we identify biological processes that generate inter-individual variability (activation rate of naive cells, the mortality rate of effector cells, and dynamics of the immunogen). On the other hand, introducing categorical covariates to analyze two different immunization regimens, we highlight the steps of the response impacted by immunogens (priming, differentiation of naive cells, expansion of effector cells and generation of memory cells). The robustness of the model is assessed by confrontation to new experimental data. Our approach allows to investigate immune responses in various immunization contexts, when measurements are scarce or missing, and contributes to a better understanding of inter-individual variability in CD8 T cell immune responses.

immunology↗