Baseline microbiome composition impacts resilience to and recovery following antibiotics

crossref(2024)

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Abstract
The gut microbiome of healthy individuals naturally undergoes temporal changes linked to the dynamics of its community components[1][1]. 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 microbes[2][2]. The gut microbiome plays pivotal roles in digestion, nutrient absorption, and mental health, influencing immune systems, obesity, and various diseases[3][3]-[6][4]. 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 equilibrium[7][5]. 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. ### Competing Interest Statement The authors have declared no competing interest. [1]: #ref-1 [2]: #ref-2 [3]: #ref-3 [4]: #ref-6 [5]: #ref-7
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