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. 2018 Oct 17;4(2):321–333. doi: 10.1016/j.ekir.2018.10.007

Table 5.

Integrated pathway analysis combining significant genes and metabolites in clinical nephrosclerosis versus healthy controls

Pathway/metabolism Enrichment analysis
Topology analysis Rank
Total No. expected No. found P Fold-change
Glycine, serine, threonine 68 11.36 23 0.0004 2.02 3.70 7.50
Phenylalanine, tyrosine, tryptophan 9 1.50 5 0.0089 3.32 2.06 6.85
Methionine and homocystein 63 10.53 19 0.0053 1.80 3.31 5.98
Glycerolipid 72 12.03 20 0.0116 1.66 2.60 4.31
One-carbon pool by folate 28 4.68 10 0.0116 2.14 1.71 3.65
Arginine and proline 102 17.05 30 0.0008 1.76 2.00 3.52
Glycolysis/gluconeogenesis 91 15.21 23 0.0224 1.51 2.27 3.44
N-Glycan biosynthesis 50 8.36 15 0.0134 1.80 1.40 2.51
Phenylalanine 29 4.85 13 0.0003 2.68 0.88 2.35
Butanoate 47 7.85 17 0.0009 2.16 0.88 1.89
Beta-alanine 50 8.36 19 0.0002 2.27 0.76 1.73
Linoleic acid 34 5.68 15 0.0001 2.64 0.57 1.51

Note: Pathways are ranked according to their combined enrichment and topology using multiplication.84 The analysis is using hypergeometric test for enrichment and betweenness centrality for topology. Enrichment analysis tests if compounds involved in a particular pathway are represented more often than expected by chance, and data are presented as fold enrichment. Topology analysis takes the pathway structure into consideration when determining which pathways are more likely to be involved in the conditions under study with changes in key positions of a network triggering more severe impact on the pathway than changes on marginal or relatively isolated positions. Analyses were done using MetaboAnalyst 3.0.