Skip to main content
. 2020 Jan 2;43(7):zsz321. doi: 10.1093/sleep/zsz321

Table 4.

Biochemical pathways associated with each biomarker model

Pathway Pathway source Compound hits Total compounds in pathway p-value FDR
Logistic regression—compounds with and without 24-hour time-of-day patterns included (66)
 Sphingolipid de novo biosynthesis Reactome 4 29 <0.0001 0.0104
 Sphingolipid metabolism Reactome 4 52 <0.0001 0.0288
 Immune System Reactome 4 56 <0.0001 0.0288
 Synthesis of PC Reactome 3 22 <0.0001 0.0372
 Synthesis of PS Reactome 2 5 0.0001 0.0609
 Acyl chain remodeling of PE Reactome 2 5 0.0001 0.0609
 Adaptive Immune System Reactome 3 29 0.0001 0.0609
 Immunoregulatory interactions between a Lymphoid and a non-Lymphoid cell Reactome 2 6 0.0002 0.0661
 Acyl chain remodeling of CL Reactome 2 6 0.0002 0.0661
 ABC transporters in lipid homeostasisa Reactome 2 7 0.0003 0.0767
 Sphingolipid Metabolism SMPDB 3 40 0.0004 0.0767
 Gaucher Disease SMPDB 3 40 0.0004 0.0767
 Globoid Cell Leukodystrophy SMPDB 3 40 0.0004 0.0767
 Metachromatic Leukodystrophy (MLD) SMPDB 3 40 0.0004 0.0767
 Fabry disease SMPDB 3 40 0.0004 0.0767
 Krabbe disease SMPDB 3 40 0.0004 0.0767
 Golgi-to-ER retrograde transport a Reactome 2 9 0.0005 0.0891
 Glycerophospholipid biosynthesis Reactome 3 46 0.0006 0.0913
 HDL remodelinga Reactome 2 10 0.0006 0.0913
 Plasma lipoprotein remodelinga Reactome 2 10 0.0006 0.0913
 Synthesis of PG Reactome 2 10 0.0006 0.0913
 Metabolism of proteins Reactome 4 117 0.0007 0.0949
 Intra-Golgi and retrograde Golgi-to-ER traffica Reactome 2 11 0.0007 0.0949
 Phospholipid metabolism Reactome 3 50 0.0007 0.0949
Linear SVM—Compounds with and without 24-hour time-of-day patterns included (47)
 ABC transporters in lipid homeostasisa Reactome 2 7 <0.0001 0.0826
 Golgi-to-ER retrograde transporta Reactome 2 9 0.0001 0.0826
 HDL remodelinga Reactome 2 10 0.0002 0.0826
 Plasma lipoprotein remodelinga Reactome 2 10 0.0002 0.0826
 Synthesis of PG Reactome 2 10 0.0002 0.0826
 Intra-Golgi and retrograde Golgi-to-ER traffica Reactome 2 11 0.0002 0.0826
 Role of phospholipids in phagocytosis Reactome 2 12 0.0003 0.0826
 Surfactant metabolism Reactome 2 13 0.0003 0.0826
 ABC-family proteins mediated transport Reactome 2 13 0.0003 0.0826
 Plasma lipoprotein assembly_ remodeling_ and clearance Reactome 2 13 0.0003 0.0826
 Fcgamma receptor (FCGR) dependent phagocytosis Reactome 2 14 0.0003 0.0903
 Synthesis of PA Reactome 2 15 0.0004 0.0936
 PLC beta mediated events Reactome 2 17 0.0005 0.0936
 G-protein mediated events Reactome 2 17 0.0005 0.0936
 PI Metabolism Reactome 2 17 0.0005 0.0936
Logistic regression and linear SVM—Compounds with 24-hour time-of-day patterns excluded (65)
 Acyl chain remodeling of PCb Reactome 2 6 <0.0001 0.0671
 Acyl chain remodeling of CL Reactome 2 6 <0.0001 0.0671
 ABC transporters in lipid homeostasisa Reactome 2 7 <0.0001 0.0671
 COPI-independent Golgi-to-ER retrograde trafficb Reactome 2 7 <0.0001 0.0671
 Phospho-PLA2 pathwayb Reactome 2 7 <0.0001 0.0671
 Golgi-to-ER retrograde transporta Reactome 2 9 0.0001 0.0673
 HDL remodelinga Reactome 2 10 0.0002 0.0673
 Plasma lipoprotein remodelinga Reactome 2 10 0.0002 0.0673
 Choline metabolism in cancer—Homo sapiens (human)b KEGG 2 10 0.0002 0.0673
 Ca-dependent eventsb Reactome 2 11 0.0002 0.0673
 Intra-Golgi and retrograde Golgi-to-ER traffica Reactome 2 11 0.0002 0.0673
 ABC-family proteins mediated transport Reactome 2 13 0.0003 0.0729
 Plasma lipoprotein assembly_ remodeling_ and clearance Reactome 2 13 0.0003 0.0729

Pathways within each biomarker model are ordered by p-value. Number of compounds indicates the number of compounds from the given biomarker model that appear in the pathway. Total compounds in the pathway indicates the number of compounds in the pathway that are in the background list. Numbers in parenthesis indicate total number of compounds in each biomarker model. FDR, false discovery rate.

aPathways that overlap between all four biomarker models.

bPathways that are unique to the models that exclude compounds with 24-hour time-of-day patterns.