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Table 2 Cross-sectional rheumatoid arthritis cohort #1: skeletal muscle canonical pathways associated with disease activity

From: Altered skeletal muscle metabolic pathways, age, systemic inflammation, and low cardiorespiratory fitness associate with improvements in disease activity following high-intensity interval training in persons with rheumatoid arthritis

Ingenuity canonical pathways

– log

(p value)

Ratio (genes/total genes)

Positively associated genes

Negatively associated genes

DNA methylation and transcriptional repression signaling

2.18

7/33

CHD4,MTA2,SIN3A

DNMT3A,DNMT3B,H4C14,MBD2

tRNA splicing

2.06

8/43

PDE1C,PDE4B,PDE5A,PDE8A

MPPED2,PDE1A,PDE7A,SMPDL3B

Regulation of the epithelial mesenchymal transition in development pathway

1.96

12/82

AXIN1,GLI2,GLI3,JAG2,TCF4,WNT11,WNT8B, WNT9A

RBPJ,SNAI2,WNT3A,WNT5B

Sphingosine and sphingosine-1-phosphate metabolism

1.84

3/8

ACER3

ASAH1,SGPP1

TCA cycle II (eukaryotic)

1.65

5/24

IDH3B,IDH3G

DLD,MDH1B,SUCLA2

Branched-chain α-keto acid dehydrogenase complex*#

1.58

2/4

BCKDHB

DLD

Molybdenum cofactor biosynthesis

1.58

2/4

 

MOCS3,NFS1

D-myo-inositol (1,4,5)-trisphosphate biosynthesis

1.57

5/25

PI4KA,PIP4K2A,PIP5K1B

PI4K2A,PIP4K2B

Assembly of RNA polymerase I complex

1.44

3/11

 

POLR1B,TAF1A,TAF1C

  1. Results of ingenuity canonical pathways analyses, with pathways reaching significance at p > 0.05 included. Ratio refers to the number of differentially expressed skeletal muscle genes significantly associated (Spearman correlations, p < 0.05) with rheumatoid arthritis (RA) (n = 20 participants) disease activity score in 28 joints (DAS-28) compared to the total number genes in that pathway. Subsequent significant pathways with at least 50% gene overlap from previous listed pathways are filtered from this table. Please see Supplementary Table 2 for full list of significant Canonical Pathways.
  2. *#Pathway significantly associated in both the cross-sectional RA cohort #1 and changes with high-intensity interval training (HIIT) RA cohort #2 analyses