Beta Diversity
Based on unweighted UniFrac, weighted UniFrac, and Bray-Curtis distance
metrics, the PCoA was performed to measure the similarity of microbial
communities in the two corhorts (Figure 1G, H, I). ANOSIM revealed that
there were significant differences in bacterial communities between mild
and moderate/severe groups using the Bray-Curtis distance metric
(statistic R = 0.130, P = 0.021, number of permutations = 999).
However, this clustering was not significant when the analysis was based
on unweighted UniFrac distance metric (statistic R = 0.044, P =
0.22, number of permutations = 999) and weighted
UniFrac
distance metric (statistic R = 0.031, P = 0.258, number of
permutations = 999).
Specific Genera Associated with severity and sub-symptoms of
OAB
The LEfSe algorithm was utilized to identify the specific bacteria
genera associated with OAB severity, and revealed no significant
difference in bacterial genera between two groups. Spearmans correlation
analysis was utilized to identify the specific bacteria
genera
associated with sub-symptoms of OAB. In
all,
eight genera showed significant correlation with one or more of the
OABSS components; one with Daytime frequency, four with
Nighttime
frequency, two with Urgency, and two with Urgency incontinence as shown
in Table 4. The strongest correlation was between Bosea and Nighttime
frequency (Correlation coefficient=0.472, P < 0.001).
DISCUSSION