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Table 1 Correlations between the change in abundance of Parasutterella and changes in total cholesterol, triglycerides, low-density lipoprotein (LDL), high-density lipoprotein (HDL), blood glucose, and insulin levels in individuals consuming RPS

From: Increasing levels of Parasutterella in the gut microbiome correlate with improving low-density lipoprotein levels in healthy adults consuming resistant potato starch during a randomised trial

Health Parameter r p value Rank (i) Critical Value ([i/m]*q)
LDL −0.40046151 0.01284 1 0.016667
Blood Glucose 0.256738899 0.119769 2 0.033333
Cholesterol −0.18932218 0.255775 3 0.05
Insulin* 0.130393557 0.448782 4 0.066667
HDL −0.06547371 0.698229 5 0.083333
Triglycerides 0.037206775 0.824522 6 0.1
  1. The Benjamini-Hochberg method controls for false discovery of significant correlations [13]. Results are rank ordered based on p value, and the p value is compared to the critical value ([i/m]*q; FDR (q) = 0.1) beginning with the lowest ranking parameter (Triglycerides). The first correlation with a p value lower than the critical value (LDL) and any higher-ranking correlations are considered significant (bold). Positive Pearson correlation coefficient (r) values indicate positive correlations and negative r values indicate negative correlations. N = 38 except for Insulin*, where N = 36 due to missing insulin measurements