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Decoding Host-Microbiota Cross-Talk During Immune Responses: From Metabolic Mediators to Transcriptional Adaptations

Imprimatur date2025-04-04
Defense date2025-04-04
Abstract

This thesis explores how gut microbes adapt to host immune signals, focusing on transcriptional and metabolic changes in bacteria during inflammation. Using dual RNA-sequencing and targeted metabolomics, the study identifies unsaturated long-chain fatty acids (uLCFAs) as key host-derived molecules that modulate microbial gene expression, mimicking immune-driven adaptations. These lipid-mediated signals appear to shape bacterial functions across diverse taxa and immune conditions, underscoring their broad physiological importance. The work also refines microbial genome annotations, revealing previously unknown non-coding RNAs linked to stress tolerance and immune adaptation. Overall, the findings provide a mechanistic framework for how immune signals reshape gut microbial functions, highlighting potential microbiome-targeted strategies to influence immune responses with implications for therapeutic interventions in immune-related diseases.

Citation (ISO format)
CZAUDERNA, Aleksander. Decoding Host-Microbiota Cross-Talk During Immune Responses: From Metabolic Mediators to Transcriptional Adaptations. Thèse, 2025. doi: 10.13097/archive-ouverte/unige:185485
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Creation06/01/2025 6:08:59 PM
First validation06/10/2025 2:34:29 PM
Update time02/06/2026 4:52:12 PM
Status update02/06/2026 4:52:12 PM
Last indexation02/06/2026 4:52:13 PM
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