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Baseline microbiome composition impacts resilience to and recovery following antibiotics

Chen, C.-Y.; Loeber, U.; Bartolomaeus, H.; Maier, L.; Muller, D. N.; Wilck, N.; Jarquin-Diaz, V. H.; Forslund-Startceva, S. K.

2024-03-31 microbiology
10.1101/2024.03.31.587491 bioRxiv
Show abstract

The gut microbiome of healthy individuals naturally undergoes temporal changes linked to the dynamics of its community components1. These dynamics are only observable in longitudinal studies; they are particularly relevant to understanding ecosystem responses to external environment disturbances. External exposures, such as antibiotic treatment, significantly reshape the gut microbiome, impacting both pathogen and commensal microbes2. The gut microbiome plays pivotal roles in digestion, nutrient absorption, and mental health, influencing immune systems, obesity, and various diseases3-6. Consequently, beyond the short-term effects on the host gut microbiome dynamics, alterations resulting from antibiotic exposure also have enduring repercussions on human health and physiological equilibrium7. Therefore, enhancing gut microbiome resilience during antibiotic treatment is essential, with the goal of mitigating prolonged adverse effects. Here, we explored the impact of pre-antibiotic microbial and functional profiles on resilience, suggesting that specific baseline features exhibit greater resilience to antibiotics-induced changes. Our results identified an uncultured Faecalibacterium prausnitzii taxon as a species at baseline associated with diminished resilience. We demonstrated that this association could be linked to the role of this F. prausnitzii taxon as a keystone species. Additionally, we observed the influence of other commensal bacteria, such as Bifidobacterium animalis and Lactobacillus acidophilus, as well as functional modules, such as multidrug resistance efflux pump, on resilience. This lays the foundations for designing targeted strategies to promote a resilient gut microbiome before antibiotic treatment, alleviating possible prolonged effects on human health.

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