Metabolite information |
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| HMDB ID | HMDB0001072 |
| Synonyms |
(all-e)-2,3-Dimethoxy-5-methyl-6-(3,7,11,15,19,23,27,31-octamethyl-2,6,10,14,18,22,26,30-dotriacontaoctaenyl)-2,5-cyclohexadiene-1,4-dione(all-e)-2-(3,7,11,15,19,23,27,31,35,39-Decamethyl-2,6,10,14,18,22,26,30,34,38-tetracontadecaenyl)-5,6-dimethoxy-3-methyl-2,5-cyclohexadiene-1,4-dione2,3-Dimethoxy-5-methyl-6-decaprenylbenzoquinone2-((all-e)-3,7,11,15,19,23,27,31,35,39-Decamethyl-2,6,10,14,18,22,26,30,34,38-tetracontadecaenyl)-5,6-dimethoxy-3-methyl-P-benzoquinone2-(3,7,11,15,19,23,27,31,35,39-Decamethyl-2,6,10,14,18,22,26,30,34,38-tetracontadecaenyl)-5,6-dimethoxy-3-methyl-P-benzoquinone2-[(2E,6E,10E,14E,18E,22E,26E,30E,34E)-3,7,11,15,19,23,27,31,35,39-Decamethyl-2,6,10,14,18,22,26,30,34,38-tetracontadecaenyl]-5,6-dimethoxy-3-methyl- 2,5-cyclohexadiene-1,4-dione2-[(2E,6E,10E,14E,18E,22E,26E,30E,34E)-3,7,11,15,19,23,27,31,35,39-Decamethyltetraconta-2,6,10,14,18,22,26,30,34,38-decaen-1-yl]-5,6-dimethoxy-3-methyl-1,4-benzoquinone4-Ethyl-5-fluoropyrimidineAdelirAqua Q 10l10Aqua Q10CO-Enzyme Q10CoQCoQ 10CoQ10Coenzyme Q10, (Z,Z,Z,Z,Z,Z,e,e,e)-isomerCoenzyme Q10, ion (1-), (all-e)-isomerEnsorbKaneka Q10KudesanLi-Q-sorbLiquid-QNeuquinonNeuquinonePureSorb Q 40QQ 10AAQ 199Q-GelQ-Gel 100Q-TerQ10UBIQUINONE-10UbidecarenoneUbiquinoneUbiquinone 10Ubiquinone 50Ubiquinone Q10UbisemiquinoneUbisemiquinone radicalUnbiquinoneUnispheres Q 10all-trans-Ubiquinonebio-Quinonbio-Quinone Q10 |
| Chemical formula | C59H90O4 |
| IUPAC name | 2-[(2E,6E,10E,14E,18E,22E,26E,30E,34E)-3,7,11,15,19,23,27,31,35,39-decamethyltetraconta-2,6,10,14,18,22,26,30,34,38-decaen-1-yl]-5,6-dimethoxy-3-methylcyclohexa-2,5-diene-1,4-dione |
| CAS registry number | 303-98-0 |
| Monoisotopic molecular weight | 862.683911368 |
Chemical taxonomy |
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| Super class | Lipids and lipid-like molecules |
| Class | Prenol lipids |
| Sub class | Quinone and hydroquinone lipids |
Biological properties |
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| Pathways (Pathway Details in HMDB) |
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| Reference | Country | Specimen | Marker function | Participants (Case) | Participants (Control) | |||||||||
| Cancer type | Stage | Number | Gender (M,F) | Age mean (range) (M/F) | Smoking status | Type | Number | Gender (M,F) | Age mean (range) (M/F) | Smoking status | ||||
| Wen et al. 2013 | China | plasma | diagnosis | adenocarcinoma | I | 31 | 15, 16 | median: 63 (40-81) | smoker, non-smoker | healthy | 28 | 20, 8 | median: 37 (29-50) | smoker, non-smoker |
| Chen et al. 2015b | China | serum | – | lung cancer (postoperative) | – | 30 | – | 61.58 ± 10.67 | – | healthy | 30 | – | 60.35 ± 12.48 | – |
| Reference | Chromatography | Ion source | Positive/Negative mode | Mass analyzer | Identification level |
| Wen et al. 2013 | LC | ESI | – | Q-TOF | MS/MS |
| Chen et al. 2015b | LC | ESI | positive | Q-TOF | – |
| Reference | Data processing software | Database search |
| Wen et al. 2013 | MassHunter, Mass Profiler Professional software (Agilent) | NIST 08, HMDB, METLIN, LIPID MAPS |
| Chen et al. 2015b | Mass Hunter Qualitative Analysis Software (Agilent Technologies) | METLIN |
| Reference | Difference method | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
| Wen et al. 2013 | Mann–Whitney–Wilcoxon test, OPLS-DA | – | – | 5.62 | 1.15e-09 | – | 1.29 |
| Chen et al. 2015b | PCA, PLS-DA, independent t test | – | – | 0.43 | 1.00e-03 | – | 1.29 |
| Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
| Wen et al. 2013 | ROC curve analysis | – | 0.96 | – | – | – |
| Chen et al. 2015b | – | – | – | – | – | – |