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To enable standardized assessment of microbial xenobiotic metabolism, we established a defined bacterial colon model from pooled human fecal samples, by preparing clean bacterial cell suspensions using density gradient centrifugation. The bacterial cell fraction remained structurally intact, allowing long-term preservation at \u221270 \u00b0C with glycerol as a cryoprotectant. The bacteria were fully reactivated without compromising cellular integrity. Glycerol as a disturbing substrate was removed by washing steps. The system preserved microbial diversity, enzymatic activity, and metabolic functionality over 24 h under anaerobic conditions. Unlike fecal-based models, the model was free from non-cellular contaminants, which could cause unpredictable interactions between test compounds and reactive components within the fecal matrix. Enzymatic assays demonstrated hydrolytic, reductive, and proteolytic activities comparable to native feces. 16S rRNA gene sequencing confirmed taxonomic stability and compositional shifts in response to different substrates. A fiber-rich substrate proved to be optimal for maintaining the bacterial composition over 24 h. We further applied the model to investigate the microbial biotransformation of selected model xenobiotics using high-performance liquid chromatography and mass spectrometry, capturing substrate-specific conversion patterns and formation of expected primary products. A versatile addition of food ingredients, dietary supplements, pharmaceuticals, and environmental chemicals is possible to analyze their effects on the composition of the microbiota, its enzymatic activity, and the excretion of metabolites and end products. Together, this bacterial colon model provides a reproducible, high-throughput capable and ethically viable platform for pharmaco microbiomic studies and next-generation risk assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key points<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>\n                            <jats:italic>A novel bacterial colon model preserves human gut microbial diversity and activity.<\/jats:italic>\n                          <\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>\n                            <jats:italic>Fiber-rich substrates restore enzymatic function and SCFA production.<\/jats:italic>\n                          <\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>\n                            <jats:italic>The model enables standardized screening of microbial xenobiotic metabolism.<\/jats:italic>\n                          <\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00253-026-13861-7","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T10:04:58Z","timestamp":1780135498000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Development of a gut microbiota model for the analysis of bacterial modifications of xenobiotics"],"prefix":"10.1007","volume":"110","author":[{"given":"Natalie","family":"Hager","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan-Lorenz","family":"Weyers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Falk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maike","family":"Passon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marie-Christine","family":"Simon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waldemar","family":"Seel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Lou Christian Michel","family":"Dorne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uwe","family":"Deppenmeier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,30]]},"reference":[{"key":"13861_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2020.00390","volume":"11","author":"NA Abdelsalam","year":"2020","unstructured":"Abdelsalam NA, Ramadan AT, ElRakaiby MT, Aziz RK (2020) Toxico microbiomics: the human microbiome vs. pharmaceutical, dietary, and environmental xenobiotics. 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