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Urinary microbiome associated with chronic allograft dysfunction in kidney transplant recipients
Author(s) -
Wu Jennifer F.,
Muthusamy Amutha,
AlGhalith Gabriel A.,
Knights Dan,
Guo Bin,
Wu Baolin,
Remmel Rory P.,
Schladt David P.,
Alegre MariaLuisa,
Oetting William S.,
Jacobson Pamala A.,
Israni Ajay K.
Publication year - 2018
Publication title -
clinical transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.918
H-Index - 76
eISSN - 1399-0012
pISSN - 0902-0063
DOI - 10.1111/ctr.13436
Subject(s) - medicine , microbiome , urinary system , cohort , renal function , gastroenterology , biology , bioinformatics
Background We performed a study to identify differences in the urinary microbiome associated with chronic allograft dysfunction (CAD) and compared the urinary microbiome of male and female transplant recipients with CAD. Methods This case‐control study enrolled 67 patients within the Deterioration of Kidney Allograft Function (DeKAF) Genomics cohort at two transplant centers. CAD was defined as a greater than 25% rise in serum creatinine relative to a 3 month post‐transplant baseline. Urine samples from patients with and without CAD were analyzed using 16S V4 bacterial ribosomal DNA sequences. Results Corynebacterium was more prevalent in female and male patients with CAD compared to non‐CAD female patients ( P = 0.0005). A total 21 distinct Operational Taxonomic Unit (OTUs) were identified as significantly different when comparing CAD and non‐CAD patients using Kruskal‐Wallis ( P < 0.01). A subset analysis of female patients with CAD compared to non‐CAD females identified similar differentially abundant OTUs, including the genera Corynebacterium and Staphylococcus (Kruskal‐Wallis; P = 0.01; P = 0.004, respectively). Male CAD vs female CAD analysis showed greater abundance of phylum Proteobacteria in males. Conclusion There were differences in the urinary microbiome when comparing female and male CAD patients with their female non‐CAD counterparts and these differences persisted in the subset analysis limited to female patients only.