Fig. 2: Cytokines associated with molBV categorical states in the CVT dataset.
Panel A forest plot showing the OR and 95% confidence intervals computed using a linear model between the cytokine quartiles and the three ordinal states of molBV (i.e., BV-negative, BV-intermediate, and BV-positive) derived using 431 biologically independent CVM samples. Only cytokines with an adjusted q-value < 0.001 are presented. ORs in panel A represent the odds of moving to the immediate next ordinal BV state. Panel B shows the correlation network between all cytokines with a Pearson correlation >0.6 using all baseline samples. Panel C is a volcano plot showing the ORs on the x-axis when comparing molecular BV-negative vs. BV-positive and the –log(q-value) on the y-axis. The ratios that had a q-value < 3.77*10-44 (i.e., −log(q-value)>100) are indicated and labeled in red. Panel D shows the pairwise Pearson correlation of the highly significant ratios presented in panel C (colored red). Ratios that had an OR < 1.0 were inverted for symmetry of data presentation. Clusters from the strongest molBV-associated cytokine ratios appear to fall into two primary groups; ones that include IL-1β and those with TNF-α. Panel E presents a box and violin plot for the log(IL-1β/IP-10) ratio for BV-negative (colored in blue), BV-intermediate (colored in yellow), and BV-positive (colored in red) samples. Panel F shows the bacterial species identified by ANCOM predicting IL-1β/IP-10 inflammation (i.e., above the median) in women within the BV-negative group shown in the small figure below with a red border. Comparison is between samples above the median vs. below the median. Panel G shows the ORs and 95% confidence intervals for the top 10 ratio combinations of the 32-cytokines (based on adjusted q-value) when comparing BV-negative to BV-positive women that had IL-1β/IP-10 levels below the cohort median (n = 171 biologically independent samples). Source data are provided as a Source Data file.
