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Table 1 33 KEGG pathways of HIC related autoimmune and infectious diseases

From: Identification of novel biomarkers in Hunner’s interstitial cystitis using the CIBERSORT, an algorithm based on machine learning

No. Description Set size Enrichment score p value adjusted
1 Graft-versus-host disease 35 0.82 0.01
2 Intestinal immune network for IgA production 43 0.80 0.01
3 Rheumatoid arthritis 84 0.77 0.01
4 Malaria 46 0.77 0.01
5 Systemic lupus erythematosus 46 0.77 0.01
6 Asthma 26 0.76 0.01
7 Autoimmune thyroid disease 46 0.75 0.01
8 Type I diabetes mellitus 39 0.74 0.01
9 Leishmaniasis 71 0.73 0.01
10 Inflammatory bowel disease 61 0.70 0.01
11 Legionellosis 53 0.68 0.01
12 Pertussis 69 0.68 0.01
13 African trypanosomiasis 34 0.65 0.01
14 Tuberculosis 169 0.61 0.01
15 Viral myocarditis 54 0.61 0.01
16 Staphylococcus aureus infection 75 0.60 0.01
17 Measles 130 0.59 0.01
18 Epstein-Barr virus infection 191 0.59 0.01
19 Kaposi sarcoma-associated herpesvirus infection 183 0.58 0.01
20 Prion diseases 34 0.58 0.04
21 Toxoplasmosis 104 0.58 0.01
22 Influenza A 157 0.56 0.01
23 Human T-cell leukemia virus 1 infection 213 0.56 0.01
24 Hepatitis B 158 0.54 0.01
25 Human cytomegalovirus infection 214 0.51 0.01
26 Acute myeloid leukemia 66 0.50 0.02
27 Yersinia infection 117 0.46 0.01
28 Viral carcinogenesis 162 0.45 0.01
29 Human immunodeficiency virus 1 infection 196 0.44 0.01
30 Hepatitis C 149 0.39 0.05
31 Shigellosis 207 0.37 0.03
32 Salmonella infection 211 0.37 0.03
33 Human papillomavirus infection 317 0.33 0.04