Publication

Assessment of urinary 3-indoxyl sulfate as a marker for gut microbiota diversity and abundance of Clostridiales

Journal Paper/Review - Aug 17, 2018

Units
PubMed
Doi

Citation
Farowski F, Vehreschild J, Oefner P, Dettmer-Wilde K, Bobardt J, Stein-Thoeringer C, Kahlert C, Higgins P, Tsakmaklis A, Els G, Vehreschild M. Assessment of urinary 3-indoxyl sulfate as a marker for gut microbiota diversity and abundance of Clostridiales. Gut Microbes 2018:1-9.
Type
Journal Paper/Review (English)
Journal
Gut Microbes 2018
Publication Date
Aug 17, 2018
Issn Electronic
1949-0984
Pages
1-9
Brief description/objective

OBJECTIVES
After allogeneic hematopoietic stem cell transplantation (allo-HCT), urinary levels of 3-indoxyl sulfate (3-IS) correlate with the relative abundance of bacteria from the class Clostridia (RAC), and antibiotic treatment is considered the major determinant of this outcome. A high RAC has been associated with favorable outcome after allo-HCT and protection from Clostridium difficile infection (CDI). We assessed correlations between alpha diversity, RAC and urinary 3-IS levels in a non-allo-HCT clinical cohort of antibiotic treated patients to further explore 3-IS as a biomarker of reduced diversity and predisposition to CDI.

METHODS
Fecal and urinary specimens were analyzed from 40 non-allo-HCT hospitalized patients before and 9 ± 2 days after initiation of intravenous antibiotic treatment. Fecal microbiota were analyzed by 16s RNA sequencing and urinary 3-IS was analyzed by liquid chromatography-tandem mass spectrometry. Receiver operating characteristic (ROC) analysis was performed to assess the predictive value of 3-IS.

RESULTS
At a RAC cutoff of <30%, the binary logarithm of 3-IS (medium 3-IS: ≤2.5; high 3-IS: >2.5) was predictive with an accuracy of 82% (negative predictive value: 87%, positive predictive value 67%). Accuracy was improved by combing antibiotic history with 3-IS levels (accuracy 89%, npv 88%, ppv 92%).

CONCLUSION
In conjunction with patient antibiotic history, 3-IS is a candidate marker to predict RAC.