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Table 1 Prediction of the most significant pathways and networks unique for fenofibrate.

From: A Systems Biology Strategy for Predicting Similarities and Differences of Drug Effects: Evidence for Drug-specific Modulation of Inflammation in Atherosclerosis

GeneGO Pathway Maps

pValue

GeneGo Toxicity Networks

pValue

Development: Growth hormone signaling via PI3K/AKT and MAPK cascades

1.152e-10

Blood coagulation: Coagulation factors. Plasminogen signaling

1.696e-08

Development: IGF-RI signaling

1.757e-08

Signal transduction: Janus kinase 2 (protein tyrosine kinase)

6.223e-08

Cytokine production by Th17 cells in CF

2.043e-08

Proliferation: Lymphocyte proliferation_STATs

2.808e-07

Cell adhesion: ECM remodeling

2.142e-08

Inflammation: SOCS3 in JAK-STAT cascade

4.345e-07

Cell adhesion: Chemokines and adhesion

2.233e-08

Inflammation: Kallikreins signaling

4.432e-07

Immune response : IL-4 - antiapoptotic action

3.753e-08

Inflammation: SERPINA3 regulation

6.102e-07

Transcription: Androgen Receptor nuclear signaling

7.793e-08

Signal transduction: IL-6R signaling ; hemopexin

9.601e-07

Transcription: Receptor-mediated HIF regulation

3.440e-07

Signal transduction: IL-6R signaling; APCS

9.601e-07

Cell adhesion: PLAU signaling

3.440e-07

Signal transduction : IL-6R signaling ; haptoglobin

1.478e-06

Immune response: IL-6 signaling pathway

5.856e-07

Proliferation: Positive regulation, HGF, CRIPTO, CCL14, IP10 signaling

2.302e-06

  1. Unique fenofibrate targets (from prediction analysis) were employed to GeneGo Pathway Maps and GeneGo Toxicity Networks. The 10 most significant pathways maps and toxicity networks are shown.