Table 3. Pathway Analysis Using Metaboanalyst and with Reference to the KEGG Database Predicted the Most Enriched Pathways from the List of Metabolites That Were Significantly Different between OA and RA SF (FDR ≤ 0.1)a.
| pathway | total | hits | –log(p) | FDR |
|---|---|---|---|---|
| Aminoacyl-tRNA biosynthesis | 75 | 12 | 24.693 | 1.51 × 10–9 |
| Nitrogen metabolism | 39 | 6 | 12.124 | 2.17 × 10–4 |
| Valine, leucine and isoleucine biosynthesis | 27 | 5 | 11.165 | 3.78 × 10–4 |
| Taurine and hypotaurine metabolism | 20 | 4 | 9.3989 | 1.66 × 10–3 |
| Alanine, aspartate and glutamate metabolism | 24 | 4 | 8.6483 | 2.81 × 10–3 |
| Glycine, serine and threonine metabolism | 48 | 5 | 8.2939 | 3.24 × 10–3 |
| Arginine and proline metabolism | 77 | 6 | 8.1678 | 3.24 × 10–3 |
| Galactose metabolism | 41 | 4 | 6.5415 | 1.44 × 10–2 |
| Glycolysis or Gluconeogenesis | 31 | 3 | 5.0818 | 5.52 × 10–2 |
| Valine, leucine and isoleucine degradation | 40 | 3 | 4.3697 | 1.02 × 10–1 |
a
Pathway enrichment was determined by Hypergeometric test and reported with an FDR-adjusted p-value. The number of metabolites enriched in our dataset (hits) is shown compared with the total number of metabolites in the KEGG pathway.