SCOPE: Persistent reduction in Glomerular Filtration Rate (GFR) is a hallmark of Chronic Kidney Disease (CKD) and is associated with an elevation of Blood Urea Nitrogen (BUN). This metabolomics pilot study sought to identify metabolites that differentiated patients with CKD whose BUN decreased on a probiotic and possible mechanisms. METHODS AND RESULTS: Metabolomics was used to analyze baseline plasma samples previously diagnosed with CKD Stage III-IV. Patients had participated in a dose escalation study of the probiotic Renadyl™. A total of 24 samples were categorized depending on whether BUN increased or decreased from baseline after 4 months of probiotic use. Multivariate analysis was used to analyze the data and determine the metabolites that best differentiated the phenotypic groups. The sixteen patients who had a decrease in BUN were not significantly different based on demographic and clinical measures from those whose BUN increased or did not change with the exception of age. Eleven of the fourteen metabolites that differentiated the groups were known to be modulated by gut microflora, which may eventually provide a mechanistic link between probiotic and outcomes. CONCLUSIONS: Metabolomics revealed metabolites at baseline that may predict individuals with CKD that would most benefit from a probiotics.
SCOPE: Persistent reduction in Glomerular Filtration Rate (GFR) is a hallmark of Chronic Kidney Disease (CKD) and is associated with an elevation of Blood Urea Nitrogen (BUN). This metabolomics pilot study sought to identify metabolites that differentiated patients with CKD whose BUN decreased on a probiotic and possible mechanisms. METHODS AND RESULTS: Metabolomics was used to analyze baseline plasma samples previously diagnosed with CKD Stage III-IV. Patients had participated in a dose escalation study of the probiotic Renadyl™. A total of 24 samples were categorized depending on whether BUN increased or decreased from baseline after 4 months of probiotic use. Multivariate analysis was used to analyze the data and determine the metabolites that best differentiated the phenotypic groups. The sixteen patients who had a decrease in BUN were not significantly different based on demographic and clinical measures from those whose BUN increased or did not change with the exception of age. Eleven of the fourteen metabolites that differentiated the groups were known to be modulated by gut microflora, which may eventually provide a mechanistic link between probiotic and outcomes. CONCLUSIONS: Metabolomics revealed metabolites at baseline that may predict individuals with CKD that would most benefit from a probiotics.
Authors: Raymond Vanholder; Rita De Smet; Griet Glorieux; Angel Argilés; Ulrich Baurmeister; Philippe Brunet; William Clark; Gerald Cohen; Peter Paul De Deyn; Reinhold Deppisch; Beatrice Descamps-Latscha; Thomas Henle; Achim Jörres; Horst Dieter Lemke; Ziad A Massy; Jutta Passlick-Deetjen; Mariano Rodriguez; Bernd Stegmayr; Peter Stenvinkel; Ciro Tetta; Christoph Wanner; Walter Zidek Journal: Kidney Int Date: 2003-05 Impact factor: 10.612
Authors: Martin Kohlmeier; Kerry-Ann da Costa; Leslie M Fischer; Steven H Zeisel Journal: Proc Natl Acad Sci U S A Date: 2005-10-18 Impact factor: 11.205
Authors: Sophie R D van der Schoor; Darcos L Wattimena; Jan Huijmans; Andras Vermes; Johannes B van Goudoever Journal: Am J Clin Nutr Date: 2007-10 Impact factor: 7.045
Authors: Olaf Beckonert; Hector C Keun; Timothy M D Ebbels; Jacob Bundy; Elaine Holmes; John C Lindon; Jeremy K Nicholson Journal: Nat Protoc Date: 2007 Impact factor: 13.491
Authors: Inkyung Park; Noah P Zimmerman; Alexandra H Smith; Thomas G Rehberger; Erik P Lillehoj; Hyun S Lillehoj Journal: Front Vet Sci Date: 2020-03-04