Skip to main content

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