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Published on: December 4, 2020
Concordance of Urogenital Microbiome From Sequentially Self-collected Specimens
Emily S Lukacz1, Daniel McDonald2, MacKenzie Bryant2
1Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Diego, La Jolla, CA.
Importance:
Population-based research is necessary to understand the relationship between the urobiome and bladder health.
Objective:
Using advanced contamination controls and ecological metrics, we aimed to evaluate the concordance of microbiota in self-collected urogenital specimens from home versus a clinical research setting.
Study Design:
A subset of community-dwelling women was enrolled in a longitudinal cohort study, self-collected urogenital samples at 3 time points: 1-day prior, the day of and during an in-person evaluation. Samples were sequenced with V4 16S rRNA and KatharoSeq removed samples indistinguishable from background contamination. Data were matched to Greengenes2-2022.10 and rarefied to 1000 seqs/sample. Intersample concordance pairs above the KatharoSeq threshold were assessed between samples. Unweighted UniFrac distances, Mantel Pearson correlations, Kruskal-Wallis, and chi-square tests were used for comparisons.
Results:
Detectable sequences were obtained in 261 samples from the 114 participants with 186 (71%) above the KatharoSeq threshold. Escherichia_710834, Lactobacillus, and Prevotella were most prevalent. Intersample concordance was determined for samples above the threshold from 38 participants with 2 home samples and 47 with home and clinic samples. Correlations between 2 home and between home and clinic were significant (r = 0.43, P = 0.001; r = 0.362, P = 0.001, respectively). There were no significant differences across time points (X2 = 2.72, P = 0.256).
Conclusions:
Home-collected urine samples for urogenital microbiome ecological analysis have sufficient short-term similarity and concordance with self-collected urine samples from a research clinic setting for use in population-based research, which may facilitate inclusion of participants with limited access to clinic-based research.
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