Skip to main content
. 2016 Sep 21;104(5):1441–1449. doi: 10.3945/ajcn.116.130518

TABLE 4.

Cross-correlation between each variable and 5 main nodes of the PLS path modeling analysis1

Diarrhea Calprotectin SCFA Systemic inflammation Death
Diarrhea 1 −0.22 −0.30 0.35 0.34
Calprotectin −0.22 1 0.03 0.24 0.17
SCFA
 Propionate −0.28 0.04 0.97 −0.32 −0.35
 Butyrate −0.30 0.02 0.98 −0.38 −0.40
Systemic inflammation
 GCSF 0.25 0.24 −0.25 0.71 0.33
 IL1RA 0.11 0.25 −0.42 0.76 0.45
 IL6 0.23 0.17 −0.20 0.64 0.33
 IL2 0.19 0.09 −0.24 0.72 0.45
 TNF-α 0.30 0.13 −0.12 0.38 0.29
 TNF-β 0.23 0.13 −0.16 0.61 0.32
 IL13 0.02 0.05 −0.20 0.45 0.37
 IFNα2 0.43 −0.04 −0.16 0.59 0.33
 IL12p70 0.22 0.22 −0.20 0.63 0.25
Death 0.34 0.17 −0.39 0.56 1
1

Cross-correlation estimates between diarrhea, calprotectin, SCFAs, markers of systemic inflammation, and death. SCFA is a composite variable of both propionate and butyrate; systemic inflammation is composed of the most robust cytokines associated with either death or diarrhea as obtained through feature selection (n = 9). Cross-correlation values are between 0 and 1 and indicate the correlation between each variable and model nodes (i.e. diarrhea, calprotectin, SCFAs, systemic inflammation, and death). GCSF, granulocyte-colony stimulating factor; IFN, interferon; PLS, partial least squares; SCFA, short-chain fatty acid.