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Dysbiosis and Associated Stool Features Improve Prediction of Response to Biological Therapy in Inflammatory Bowel Disease.
Caenepeel, Clara; Falony, Gwen; Machiels, Kathleen; Verstockt, Bram; Goncalves, Pedro J; Ferrante, Marc; Sabino, João; Raes, Jeroen; Vieira-Silva, Sara; Vermeire, Séverine.
Afiliação
  • Caenepeel C; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium.
  • Falony G; Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium; Center for Microbiology, Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium; Institute of Medical Microbiology and Hygiene and Research Center fo
  • Machiels K; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Pfizer Biopharmaceuticals, Brussels, Belgium.
  • Verstockt B; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium.
  • Goncalves PJ; Machine Learning in Science, Excellence Cluster "Machine Learning," Tübingen University, Tübingen, Germany.
  • Ferrante M; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium.
  • Sabino J; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium.
  • Raes J; Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium; Center for Microbiology, Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium.
  • Vieira-Silva S; Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, Katholieke Universiteit Leuven, Leuven, Belgium; Institute of Medical Microbiology and Hygiene and Research Center for Immunotherapy (FZI), University Medical Center of the Johannes Gutenberg-University
  • Vermeire S; Translational Research Center for Gastrointestinal Disorders (TARGID), Katholieke Universiteit Leuven, Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium. Electronic address: severine.vermeire@uzleuven.be.
Gastroenterology ; 166(3): 483-495, 2024 03.
Article em En | MEDLINE | ID: mdl-38096956
ABSTRACT
BACKGROUND &

AIMS:

Dysbiosis of the gut microbiota is considered a key contributor to inflammatory bowel disease (IBD) etiology. Here, we investigated potential associations between microbiota composition and the outcomes to biological therapies.

METHODS:

The study prospectively recruited 296 patients with active IBD (203 with Crohn's disease, 93 with ulcerative colitis) initiating biological therapy. Quantitative microbiome profiles of pretreatment and posttreatment fecal samples were obtained combining flow cytometry with 16S amplicon sequencing. Therapeutic response was assessed by endoscopy, patient-reported outcomes, and changes in fecal calprotectin. The effect of therapy on microbiome variation was evaluated using constrained ordination methods. Prediction of therapy outcome was performed using logistic regression with 5-fold cross-validation.

RESULTS:

At baseline, 65.9% of patients carried the dysbiotic Bacteroides2 (Bact2) enterotype, with a significantly higher prevalence among patients with ileal involvement (76.8%). Microbiome variation was associated with the choice of biological therapy rather than with therapeutic outcome. Only anti-tumor necrosis factortreatment resulted in a microbiome shift away from Bact2, concomitant with an increase in microbial load and butyrogen abundances and a decrease in potentially opportunistic Veillonella. Remission rates for patients hosting Bact2 at baseline were significantly higher with anti-tumor necrosis factor-α than with vedolizumab (65.1% vs 35.2%). A prediction model, based on anthropometrics and clinical data, stool features (microbial load, moisture, and calprotectin), and Bact2 detection predicted treatment outcome with 73.9% accuracy for specific biological therapies.

CONCLUSION:

Fecal characterization based on microbial load, moisture content, calprotectin concentration, and enterotyping may aid in the therapeutic choice of biological therapy in IBD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Inflamatórias Intestinais / Colite Ulcerativa Limite: Humans Idioma: En Revista: Gastroenterology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Inflamatórias Intestinais / Colite Ulcerativa Limite: Humans Idioma: En Revista: Gastroenterology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Bélgica