Extended Data Fig. 9: Variation in prevalence of the Bact2 enterotype with BMI and statin intake in the BMIS discovery cohort, and in the FGFP and CVD validation cohorts. | Nature

Extended Data Fig. 9: Variation in prevalence of the Bact2 enterotype with BMI and statin intake in the BMIS discovery cohort, and in the FGFP and CVD validation cohorts.

From: Statin therapy is associated with lower prevalence of gut microbiota dysbiosis

Extended Data Fig. 9: Variation in prevalence of the Bact2 enterotype with BMI and statin intake in the BMIS discovery cohort, and in the FGFP and CVD validation cohorts.The alternative text for this image may have been generated using AI.

ac, Variation in the prevalence of the Bact2 enterotype with BMI for statin-medicated and non-statin-medicated individuals, showing the significant effect (represented by the range bar with an asterisk; Supplementary Table 16) of statin intake given individuals’ BMI, in the BMIS obese participants (n = 474 biologically independent samples, multivariate binomial logistic regression, Statin | BMI, relative risk = 0.34, *Padj = 0.025) (a); the FGFP cohort, a population-level recruitment with a much narrower BMI range than the BMIS cohort (n = 2,345 biologically independent samples, multivariate binomial logistic regression, Statin | BMI, relative risk = 0.72, *Padj = 0.045) (b) and the MetaCardis CVD cohort (n = 271 biologically independent samples, excluding 11 individuals for which BMI was not known, multivariate binomial logistic regression, Statin | BMI, relative risk = 0.29, *Padj = 0.021) (c). In ac, the fit lines were obtained by multinomial logistic regression of enterotypes as predicted by BMI, for statin-medicated and non-statin-medicated individuals separately, with the shaded area corresponding to the 95% confidence intervals for the Bact2 regression. Adjustment for multiple testing (Padj) was performed using the Benjamini–Hochberg method.

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