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Microbial Dynamics in Newly Diagnosed and Treatment Naïve IBD Patients in the Mediterranean

BACKGROUND: Microbial communities have long been suspected to influence inflammatory processes in the gastrointestinal tract of patients with inflammatory bowel disease. However, these effects are often influenced by treatments and can rarely be analyzed in treatment-naïve onset cases. Specifically,...

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Detalles Bibliográficos
Autores principales: Rausch, Philipp, Ellul, Sarah, Pisani, Anthea, Bang, Corinna, Tabone, Trevor, Marantidis Cordina, Claire, Zahra, Graziella, Franke, Andre, Ellul, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320370/
https://www.ncbi.nlm.nih.gov/pubmed/36735955
http://dx.doi.org/10.1093/ibd/izad004
Descripción
Sumario:BACKGROUND: Microbial communities have long been suspected to influence inflammatory processes in the gastrointestinal tract of patients with inflammatory bowel disease. However, these effects are often influenced by treatments and can rarely be analyzed in treatment-naïve onset cases. Specifically, microbial differences between IBD pathologies in new onset cases have rarely been investigated and can provide novel insight into the dynamics of the microbiota in Crohn’s disease (CD) and ulcerative colitis (UC). METHODS: Fifty-six treatment-naïve IBD onset patients (67.3% CD, 32.7% UC) and 97 healthy controls were recruited from the Maltese population. Stool samples were collected after diagnosis but before administration of anti-inflammatory treatments. Fecal microbial communities were assessed via 16S rRNA gene sequencing and subjected to ecological analyses to determine disease-specific differences between pathologies and disease subtypes or to predict future treatment options. RESULTS: We identified significant differences in community composition, variability, and diversity between healthy and diseased individuals—but only small to no differences between the newly diagnosed, treatment-naïve UC and CD cohorts. Network analyses revealed massive turnover of bacterial interactions between healthy and diseased communities, as well as between CD and UC communities, as signs of disease-specific changes of community dynamics. Furthermore, we identified taxa and community characteristics serving as predictors for prospective treatments. CONCLUSION: Untreated and newly diagnosed IBD shows clear differences from healthy microbial communities and an elevated level of disturbance, but only the network perspective revealed differences between pathologies. Furthermore, future IBD treatment is to some extent predictable by microbial community characteristics.