Metabolite information |
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HMDB ID | HMDB0002183 |
Synonyms |
22:6-4, 7,10,13,16,1922:6[N-3]4,7,10,13,16,19-Docosahexaenoate4,7,10,13,16,19-Docosahexaenoic acidAcids, docosahexaenoicAcids, docosahexenoicAdiposeBody fatCellular membraneCerebrovascular accidentCerebrovascular insultCervonateCervonic acidCoffeeCoffee beanCsfCucurbitsCvaCviCytoplasmaDHADOCOSA-4,7,10,13,16,19-hexaenoIC ACIDDOCOSA-4,7,10,13,16,19-hexaenoateDigestionDoconexentDoconexentoDoconexentumDocosahexaenoateDocosahexaenoic acid [all-Z isomer]Docosahexaenoic acid dimer [all-Z isomer]Docosahexaenoic acid, 3,6,9,12,15,18-isomerDocosahexaenoic acid, 4,7,10,13,16,19-[Z,Z,Z,Z,Z,e-isomer]Docosahexaenoic acid, 4,7,10,13,16,19-[all-Z-isomer]Docosahexaenoic acid, 4,7,10,13,16,19-[all-Z-isomer], cerium saltDocosahexaenoic acid, 4,7,10,13,16,19-[all-Z-isomer], cesium saltDocosahexaenoic acid, 4,7,10,13,16,19-[all-Z-isomer], potassium saltDocosahexaenoic acid, 4,7,10,13,16,19-isomerDocosahexaenoic acid, 4,7,10,13,16,19-isomer, sodium saltDocosahexaenoic acid, sodium saltDocosahexaenoic acidsDocosahexenoic acidsDoxonexentEhExtracellular regionFaecalFaecesFat tissueFaunaFecalFloraGourdsGramineaeHigh blood pressureHpnHtnKidneysLegumeLipid bodyLipid dropletLipid metabolic processLipid particleMembrane integrity agentMembrane stability agentMyelinNerve tissueNeural tissueNeuronPapilionoideaePrimary hypertensionProstate glandSignal transductionSoySoyaSoya beanSoybeanStoolStriated muscleSurface-active agentTestesTestisThrombocyte[4Z,7Z,10Z,13Z,16Z,19Z]-Docosahexaenoate[4Z,7Z,10Z,13Z,16Z,19Z]-Docosahexaenoic acidall-Z-Docosahexaenoateall-Z-Docosahexaenoic acidall-cis-4,7,10,13,16,19-Docosahexaenoateall-cis-4,7,10,13,16,19-Docosahexaenoic acidall-cis-DHAcis-4,7,10,13,16,19-Docosahexanoatecis-4,7,10,13,16,19-Docosahexanoic acid |
Chemical formula | C22H32O2 |
IUPAC name | (4Z,7Z,10Z,13Z,16Z,19Z)-docosa-4,7,10,13,16,19-hexaenoic acid |
CAS registry number | 6217-54-5 |
Monisotopic molecular weight | 328.240230268 |
Chemical taxonomy |
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Super class | Lipids and lipid-like molecules |
Class | Fatty Acyls |
Sub class | Fatty acids and conjugates |
Biological properties |
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Pahtways |
Alpha Linolenic Acid and Linoleic Acid Metabolism |
Author-emphasized biomarker in the paper(s) |
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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 | ||||
Mazzone et al. 2016 | – | serum | – | adenocarcinoma, squamous cell carcinoma | I, II, III | 94 | 55.3%, 44.7% | 68.7 | – | at-risk controls | 190 | 50.5%, 49.5% | 66.2 | – |
Roś-Mazurczyk et al. 2017 | – | serum | diagnosis | adenocarcinoma, squamous cell carcinoma | I, II, III | 31 | 17, 14 | 52-72 | – | healthy | 92 | 52, 40 | 52-73 | – |
Callejón-Leblic et al. 2019 | – | blood | diagnosis | NSCLC, SCLC | II, III, IV | 30 | 25, 5 | 67 ± 12 | former, current, non-smoker | healthy | 30 | 14, 16 | 56 ± 14 | former, non-smoker |
Mu et al. 2019 | – | serum | diagnosis | NSCLC | I, II, III, IV | 30 | 0, 30 | 60.4 ± 9.7 | non-smoker | healthy | 30 | 0, 30 | 54.7 ± 14.3 | non-smoker |
Huang et al. 2019 | – | plasma | diagnosis | lung cancer | – | 31 | 19, 12 | 28-64 | – | healthy | 35 | 24, 11 | 23-60 | – |
Moreno et al. 2018 | – | tissue | therapy, diagnosis | adenocarcinoma | I, II, III | 33 | 24, 9 | 62.11 ± 9.73 | – | tumor vs. adjacent normal tissue | 33 | 24, 9 | 62.11 ± 9.73 | – |
Moreno et al. 2018 | – | tissue | therapy, diagnosis | squamous cell carcinoma | I, II, III | 35 | 35, 0 | 68.71 ± 7.46 | – | tumor vs. adjacent normal tissue | 35 | 35, 0 | 68.71 ± 7.46 | – |
Reference | Chromatography | Ion source | Positive/Negative mode | Mass analyzer | Identification level |
Mazzone et al. 2016 | LC | ESI | negative | linear ion-trap | MS/MS |
Roś-Mazurczyk et al. 2017 | GC | – | – | TOF | In-source fragmentation |
Callejón-Leblic et al. 2019 | DI | ESI | negative | Q-TOF | MS/MS |
Mu et al. 2019 | GC | – | – | – | – |
Huang et al. 2019 | LC | ESI | negative | Q-Orbitrap | MS/MS |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Reference | Data processing software | Database search |
Mazzone et al. 2016 | Metabolon LIMS system | Metabolon LIMS system |
Roś-Mazurczyk et al. 2017 | Leco ChromaTOF-GC | Replib, Mainlib and Fiehn libraries |
Callejón-Leblic et al. 2019 | – | HMDB, Metlin |
Mu et al. 2019 | – | – |
Huang et al. 2019 | XCMS | OSI-SMMS |
Moreno et al. 2018 | – | KEGG, HMDB |
Moreno et al. 2018 | – | KEGG, HMDB |
Reference | Difference method | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
Mazzone et al. 2016 | two- sample independent t test | 1.165736± 0.5301326 | 1.185746± 0.78978 | 0.98312454775306 | 0.8242501 | 0.767842753 | – |
Roś-Mazurczyk et al. 2017 | two-sample T test, U Mann-Whitney test, Benjamini-Hochberg approach | 1.1822 ± 1.6287 | 1.1189 ± 0.87031 | 1.05657342032353 | 0.5771 | 0.76992 | – |
Callejón-Leblic et al. 2019 | PCA, PLS-DA, one-way ANOVA | – | – | 0.72 | 0.03 | – | 1.43 |
Mu et al. 2019 | PCA, PLS-DA, Mann-Whitney U test | – | – | 0.789 | 0.003 | 0.008 | 1.079 |
Huang et al. 2019 | OPLS-DA, Mann-Whitney U test | – | – | 0.57646401 | 0.000273125 | – | 1.6699338 |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 1.85918952196766 | 0.0000000720024225909396 | 0.000000986996328892148 | – |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 2.17878299459397 | 0.000000000000560284408066284 | 0.00000000000745178262728158 | – |
Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
Mazzone et al. 2016 | – | – | – | – | – | – |
Roś-Mazurczyk et al. 2017 | ROC curve | – | – | – | – | – |
Callejón-Leblic et al. 2019 | ROC curve | – | 0.65 | – | – | – |
Mu et al. 2019 | – | – | – | – | – | – |
Huang et al. 2019 | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |