Table 5 Pathway analysis by Enrichr/NCI Nature 2016.

From: Plasma proteomic characterization of the development of acute kidney injury in early sepsis patients

Pathway name

p-value

Adjusted p-value

Odds ratio

Combined score

Signalling events mediated by VEGFR1 and VEGFR2

 < 0.001

 < 0.001

36.71

526.02

Angiopoietin receptor Tie2-mediated signalling

 < 0.001

 < 0.001

41.13

500.00

PDGF receptor signalling network

0.014

0.049

84.88

360.44

Class I PI3K signalling events

 < 0.001

0.003

29.49

250.03

Alpha9 beta1 integrin signalling events

0.002

0.015

37.67

241.75

Glypican 1 network

0.002

0.015

34.66

217.05

Thromboxane A2 receptor signalling

 < 0.001

0.004

25.03

200.74

Ephrin B reverse signalling

0.002

0.015

30.94

187.27

Regulation of p38-alpha and p38-beta

0.002

0.015

30.94

187.27

CXCR4-mediated signalling events

 < 0.001

0.002

18.80

173.82

Alpha-synuclein signalling

0.003

0.016

28.87

171.07

EPHA forward signalling

0.003

0.016

27.07

157.11

Signalling events mediated by Hepatocyte Growth Factor Receptor (c-Met)

 < 0.001

0.009

17.91

126.87

amb2 Integrin signalling

0.004

0.019

22.78

124.96

Signalling events mediated by PTP1B

0.007

0.030

17.31

86.05

Signalling events mediated by focal adhesion kinase

0.009

0.033

15.45

73.54

Fc-epsilon receptor I signalling in mast cells

0.009

0.033

15.45

73.54

PDGFR-beta signalling pathway

0.003

0.018

10.57

59.53

CDC42 signalling events

0.012

0.044

12.71

55.94

  1. Proteins that correlated with PC1 and/or PC2 and which were positive differentially expressed proteins among patients with sepsis-AKI as compared to patients without AKI. The proteins were used to identify pathways affected by sepsis-AKI, only pathways with an adjusted p-value < 0.05 are shown.