Normalization of short-chain fatty acid concentration by bacterial count of stool samples improves discrimination between eubiotic and dysbiotic gut microbiota caused by Clostridioides difficile infection-
Anna Sayol-Altarriba,
Andrea Aira,
Anna Villasante,
Rosa Albarracín,
Joana Faneca,
Gregori Casals,
José Luis Villanueva-Cañas,
Climent Casals-Pascual
Affiliations
Anna Sayol-Altarriba
Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain
Andrea Aira
ISGlobal, Barcelona, Spain
Anna Villasante
Department of Clinical Microbiology, Centre for Biomedical Diagnosis, Hospital Clínic de Barcelona, Barcelona, Spain
Rosa Albarracín
Department of Clinical Microbiology, Centre for Biomedical Diagnosis, Hospital Clínic de Barcelona, Barcelona, Spain
Joana Faneca
Department of Biochemistry and Molecular Genetics, Centre for Biomedical Diagnosis, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
Gregori Casals
Department of Biochemistry and Molecular Genetics, Centre for Biomedical Diagnosis, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
José Luis Villanueva-Cañas
Molecular Biology CORE, Centre for Biomedical Diagnosis, Hospital Clínic de Barcelona, Barcelona, Spain
Climent Casals-Pascual
Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain
Short-chain fatty acids (SCFAs) represent a cornerstone of gut health, serving as critical mediators of immune modulation and overall host homeostasis. Patients with dysbiosis caused by Clostridioides difficile infection (CDI) typically exhibit lower SCFAs levels compared to healthy stool donors and, thus, the concentration of SCFAs has been proposed as a proxy marker of a healthy microbiota. However, there is no consistency in the methods used to quantify SCFAs in stool samples and usually, the results are normalized by the weight of the stool samples, which does not address differences in water and fiber content and ignores bacterial counts in the sample (the main component of stool that contributes to the composition of these metabolites in the sample). Here, we show that normalized SCFAs concentrations by the bacterial count improve discrimination between healthy and dysbiotic samples (patients with CDI), particularly when using acetate and propionate levels. After normalization, butyrate is the metabolite that best discriminates eubiotic and dysbiotic samples according to the area under the receiver operating characteristic (ROC) curve (AUC-ROC = 0.860, [95% CI: 0.786–0.934], p < .0001).