Clinical Transplantation · 2018 · 42 citations · 38 references
Life SciencesMicrobiologyNephrologyKidney TransplantationMedical MicrobiologyMicrobiome ResearchChronic Allograft DysfunctionMicrobiome Data AnalysisMicrobiome DiversityMicrobiome DysbiosisUrinary Tract InfectionsChronic Allograft InjuryGenitourinary MicrobiomeOperational Taxonomic Unit ClusteringOperational Taxonomic Unit ProfilingRibosomal Dna AnalysisRibosomal Dna SequencingSerum Creatinine AssessmentUrinary Microbiome
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.
38
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony Bolger, Marc Lohse, Björn Usadel · Bioinformatics · 2014 · 69.7K citations · Full text
Metagenomic biomarker discovery and explanation
Nicola Segata, Jacques Izard, Levi Waldron et al. · Genome biology · 2011 · 16.7K citations · Full text
FLASH: fast length adjustment of short reads to improve genome assemblies
Tanja Magoč, Steven L. Salzberg · Bioinformatics · 2011 · 15.7K citations · Full text
Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients
Vancheswaran Gopalakrishnan, Luigi Nezi, Alexandre Reuben et al. · Science · 2017 · 4.7K citations · Full text
Life Sciences, Immunology, Oncology +17