Table 3 Biological pathway analyses

From: Towards precision medicine for stress disorders: diagnostic biomarkers and targeted drugs

 

DAVID GO functional annotation biological processes

KEGG pathways

Ingenuity pathways (fold change)

A. Pathways

#

Term

Count

%

P value

Term

Count

%

P value

Top canonical pathways

P value

Overlap

220 Stress genes (n = 220 genes, 232 probesets)

1

Antigen processing and presentation of exogenous peptide antigen via MHC class I, TAP-dependent

8

3.7

9.30E-06

Antigen processing and presentation

8

3.7

9.80E-05

Antigen presentation pathway

1.71E-06

15.8% 6/38

 

2

Proteasome-mediated ubiquitin-dependent protein catabolic process

12

5.6

3.10E-05

Viral myocarditis

7

3.3

1.50E-04

Natural killer cell signaling

2.67E-05

6.6% 8/122

 

3

Negative regulation of T cell proliferation

6

2.8

7.10E-05

Lysosome

9

4.2

3.60E-04

Autoimmune thyroid disease signaling

1.02E-04

10.4% 5/48

 

4

Protein K48-linked ubiquitination

6

2.8

2.30E-04

Epstein–Barr virus infection

11

5.1

1.20E-03

Graft-vs.-host disease signaling

1.02E-04

10.4% 5/48

 

5

Antigen processing and presentation of peptide antigen via MHC class I

5

2.3

4.10E-04

Graft-vs.-host disease

5

2.3

1.70E-03

Phagosome maturation

1.02E-04

5.4% 8/148

B. Diseases

David

Ingenuity pathways disease

 

#

Term

Count

%

P value

Diseases and disorders

P value

# Molecules

220 Stress genes (n = 220 genes, 232 probesets)

1

HIV

10

4.7

1.10E-03

Cancer

9.75E-03–2.15E-07

202

 

2

Drug-induced liver injury

4

1.9

2.70E-03

Organismal injury and abnormalities

9.75E-03–2.15E-07

206

 

3

HIV infections|[X]human immunodeficiency virus disease

12

5.6

3.00E-03

Infectious diseases

8.66E-03–2.33E-06

53

 

4

Malaria, cerebral|malaria, falciparum

3

1.4

3.00E-03

Inflammatory response

9.75E-03–3.06E-05

61

 

5

Adrenal hyperplasia, congenital

3

1.4

4.00E-03

Metabolic disease

9.75E-03–6.01E-05

50

  1. For validated biomarkers (n = 232 probesets, 220 genes)