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. 2023 Aug 29;109(2):483–497. doi: 10.1210/clinem/dgad510

Figure 3.

Figure 3.

Associations of sex hormone features with stool microbiome species (n = 197). (A) Analysis of Compositions of Microbiomes 2 (ANCOM2) was used to identify species associated with each inverse-normal transformed hormone feature, adjusting for age, study site, race/ethnicity, income, smoking status, alcohol use, illicit drug use, HCV serostatus, estimated glomerular filtration rate, serum gamma-glutamyl transferase, waist circumference, fasting glucose, hemoglobin A1c, total cholesterol, triglycerides, HDL cholesterol, diabetes medication use, lipid-lowering medication use, hypertension medication use, and HIV serostatus. Barplots show number of species selected with ANCOM detection level ≥ 0.6 per sex hormone feature, ANCOM detection level or taxonomic class. (B) For ANCOM-selected species, effect estimates shown in heatmap were obtained from multivariable linear regression of clr-transformed species (outcomes) on inverse-normal transformed hormone features (predictors), adjusting for above-mentioned covariates. Species are organized in a cladogram according to phylogenetic relatedness. Only species with ANCOM2 detection level ≥0.7 are shown due to space constraints (full list of detection level ≥ 0.6 in Supplementary Table 5) (51). Size of cladogram tips are based on species mean relative abundance. *ANCOM2 detection level = 0.6, **0.7, ***0.8, ****0.9.