Common drugs alter microbial protein expression, but not composition in fecal cultures from Crohn’s disease patients

Introduction A substantial number of Crohn’s disease (CD) patients experience side-effects and/or non-response to medical drugs. In part, this might be attributed to the interaction of the intestinal microbiome with xenobiotics. The aim of this study was to explore the effect of common CD drugs on the patient’s microbiome in vitro. Methods The fecal microbiome of each of 5 CD patients was exposed to 42 μg/ml budesonide, 55 μg/ml 6-mercaptopurine (6-MP), 5 or 15 μg/ml tofacitinib, or DMSO-control in defined culture medium in an anaerobic chamber at 37°C for 24 hours. Subsequently, DNA and proteins were isolated and subjected to 16 rRNA gene amplicon sequencing and LC-MS proteomic analysis, respectively. Results Metagenomic and metaproteomic analyses revealed larger differences between donors than between drug exposures. Exposure to 6-MP and tofacitinib resulted in a significant alteration in the metaproteome when compared to the control condition, whereas no effect could be observed for budesonide. Applying a stringent selection, 33 proteins were more abundant and 93 less abundant in all 6-MP cultures and could thereby discriminate clearly between 6-MP and control. In contrast to metaproteomic analyses, metagenomic analyses only detected a lower relative abundance of Colidextribacter in 15 μg/ml tofacitinib cultures, but not in overall richness, diversity or community structure. Conclusion Tofacitinib and especially 6-MP clearly affect microbial function, but barely microbial composition in vitro. These drug-induced functional changes may subsequently influence host physiology and potentially inflammation in CD. Our findings emphasize the relevance to include functional microbial studies when investigating drug-microbiota interactions. Further research needs to elucidate the impact of 6-MP-induced microbial alterations on intestinal physiology and inflammation in CD.

[1]  D. Jonkers,et al.  Current evidence and clinical relevance of drug-microbiota interactions in inflammatory bowel disease , 2023, Frontiers in Microbiology.

[2]  Xianyang Zhang,et al.  LinDA: linear models for differential abundance analysis of microbiome compositional data , 2021, Genome Biology.

[3]  B. Cillero-Pastor,et al.  Mass Spectrometry Spatial-Omics on a Single Conductive Slide , 2021, Analytical chemistry.

[4]  K. Korpela,et al.  Bacterial and fungal profiles as markers of infliximab drug response in inflammatory bowel disease. , 2020, Journal of Crohn's & colitis.

[5]  D. Rubin,et al.  Real-World Effectiveness and Safety of Tofacitinib in Crohn's Disease and IBD-U: A Multi-Center Study from the TROPIC consortium. , 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[6]  E. Zoetendal,et al.  Gut microbiome stability and resilience: elucidating the response to perturbations in order to modulate gut health , 2020, Gut.

[7]  O. Pedersen,et al.  Gut microbiota in human metabolic health and disease , 2020, Nature Reviews Microbiology.

[8]  V. M. D. Martins dos Santos,et al.  Disease Activity Patterns of Crohn’s Disease in the First Ten Years After Diagnosis in the Population-based IBD South Limburg Cohort , 2020, Journal of Crohn's & colitis.

[9]  P. Savelkoul,et al.  How to Count Our Microbes? The Effect of Different Quantitative Microbiome Profiling Approaches , 2020, Frontiers in Cellular and Infection Microbiology.

[10]  P. Savelkoul,et al.  Higher Prevalence of Bacteroides fragilis in Crohn’s Disease Exacerbations and Strain-Dependent Increase of Epithelial Resistance , 2020, bioRxiv.

[11]  M. McLaren Silva SSU taxonomic training data formatted for DADA2 (Silva version 138) , 2020 .

[12]  Jianguo Xia,et al.  Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data , 2020, Nature Protocols.

[13]  G. Rossi,et al.  Glucocorticoid and dietary effects on mucosal microbiota in canine inflammatory bowel disease , 2019, PloS one.

[14]  L. Stassen,et al.  ECCO Guidelines on Therapeutics in Crohn's Disease: medical treatment. , 2019, Journal of Crohn's & colitis.

[15]  P. Bytzer,et al.  An altered composition of the microbiome in microscopic colitis is driven towards the composition in healthy controls by treatment with budesonide , 2019, Scandinavian journal of gastroenterology.

[16]  P. Savelkoul,et al.  Faecal Microbiota Dynamics and their Relation to Disease Course in Crohn’s Disease , 2019, Journal of Crohn's & colitis.

[17]  D. Figeys,et al.  RapidAIM: a culture- and metaproteomics-based Rapid Assay of Individual Microbiome responses to drugs , 2019, Microbiome.

[18]  Lennart Martens,et al.  Unipept 4.0: Functional Analysis of Metaproteome Data. , 2018, Journal of proteome research.

[19]  C. Huttenhower,et al.  Compositional and Temporal Changes in the Gut Microbiome of Pediatric Ulcerative Colitis Patients Are Linked to Disease Course. , 2018, Cell host & microbe.

[20]  Peer Bork,et al.  Extensive impact of non-antibiotic drugs on human gut bacteria , 2018, Nature.

[21]  D. Hommes,et al.  Clinical Pharmacokinetic and Pharmacodynamic Considerations in the Treatment of Inflammatory Bowel Disease , 2018, Clinical Pharmacokinetics.

[22]  Paul Wilmes,et al.  Human Gut Microbiome: Function Matters. , 2017, Trends in microbiology.

[23]  D. Relman,et al.  Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data , 2017, Microbiome.

[24]  Luis Pedro Coelho,et al.  Towards standards for human fecal sample processing in metagenomic studies , 2017, Nature Biotechnology.

[25]  S. Riordan,et al.  Azathioprine, Mercaptopurine, and 5-Aminosalicylic Acid Affect the Growth of IBD-Associated Campylobacter Species and Other Enteric Microbes , 2017, Front. Microbiol..

[26]  Harry Sokol,et al.  A microbial signature for Crohn's disease , 2017, Gut.

[27]  Agnieszka Smolinska,et al.  The fecal microbiota as a biomarker for disease activity in Crohn’s disease , 2016, Scientific Reports.

[28]  Paul J. McMurdie,et al.  DADA2: High resolution sample inference from Illumina amplicon data , 2016, Nature Methods.

[29]  M. Kanehisa,et al.  BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences. , 2016, Journal of molecular biology.

[30]  Jens Roat Kultima,et al.  An integrated catalog of reference genes in the human gut microbiome , 2014, Nature Biotechnology.

[31]  C. O'Morain,et al.  High prevalence of overweight and obesity in adults with Crohn's disease: associations with disease and lifestyle factors. , 2013, Journal of Crohn's & colitis.

[32]  D. Maskell,et al.  SadA, a Trimeric Autotransporter from Salmonella enterica Serovar Typhimurium, Can Promote Biofilm Formation and Provides Limited Protection against Infection , 2011, Infection and Immunity.

[33]  Scott Rempell Factors , 2022, SSRN Electronic Journal.

[34]  E. Denamur,et al.  Immunosuppressive Treatment Alters Secretion of Ileal Antimicrobial Peptides and Gut Microbiota, and Favors Subsequent Colonization by Uropathogenic Escherichia coli , 2017, Transplantation.

[35]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[36]  I. Leodolter [Crohn's disease]. , 1967, Wiener Zeitschrift fur innere Medizin und ihre Grenzgebiete.