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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Am J Obstet Gynecol. 2018 Feb 21;218(4):438.e1–438.e16. doi: 10.1016/j.ajog.2018.01.009

Table 3.

Select differentially expressed gene sets and Ingenuity Pathway Analysis pathways downregulated in the fetal heart of animals with the fetal inflammatory response syndrome

Gene Set Analysis
Gene Set Number of Genes p value
Cellular Morphogenesis During Differentiation 37 0.008
Axonogenesis 31 0.008
Neurite Development 40 0.008
Neuron Differentiation 57 0.008
Neuron Development 46 0.008
Nervous System Development 292 0.01
Regulation of DNA Replication 16 0.03
Hallmark TGF Beta Signaling 41 0.04
Negative Regulation of Cellular Component Organization and Biogenesis 23 0.04
Ingenuity Pathway Functional Analysis of a Network*
Diseases and Biological Functions Number of Molecules p value
Cellular Movement, Migration of Cells 150 7 × 10−21
Development of Vasculature 94 2 × 10−15
Morphology of Blood Vessel 40 1 × 10−13
Proliferation of Smooth Muscle Cells 36 3× 10−12
Growth of Muscle Tissue 42 1× 10−11
Morphology of Cardiovascular System 69 4 × 10−11
Vasculogenesis 66 1 × 10−10
Abnormal Morphology of Cardiovascular System 50 5 × 10−10
Migration of Endothelial Cells 33 4 × 10−8
Ingenuity Pathway Transcription Factor Analysis**
Top Transcription Factors Predicted Activation State Activation Z-Score p-value of overlap
TNF Activated 4.2 2 × 10−14
IL1B Activated 3.7 1 × 10−11
TGFB1 Inhibited −2.0 2 × 10−10

Gene Set and Ingenuity Pathway Analyses were based on the IL-6 model and select results are reported in the table.

*

The Ingenuity Pathway Functional Analysis of a Network identified biological functions and/or diseases most significant to the molecules in the network using a right-tailed Fisher’s exact test.

**

Transcription factor analysis is based on prior knowledge of expected effects between transcription factors and their target genes stored in the Ingenuity Pathway Analysis library. The overlap p-value measures whether there is a statistically significant overlap between the dataset genes and the genes regulated by a transcription factor using Fisher’s Exact Test.