Showing information for HMDB0000448 ('adipic acid')


Metabolite information

HMDB ID HMDB0000448
Synonyms
1,4-Butanedicarboxylate
1,4-Butanedicarboxylic acid
1,6-Hexanedioate
1,6-Hexanedioic acid
Acifloctin
Acinetten
Adi-pure
Adilactetten
Adipate
Adipic acid, MG salt [1:1]
Adipic acid, calcium salt
Adipic acid, cu salt
Adipic acid, cu[+2] salt
Adipic acid, cu[+2] salt [1:1]
Adipic acid, diammonium salt
Adipic acid, disodium salt
Adipic acid, monoammonium salt
Adipic acid, nickel salt
Adipic acid, potassium salt
Adipic acid, sodium salt
Adipinate
Adipinic acid
Adipinsaeure
Ammonium adipate
Anorexia
Beautification product
Carcinoma of the lung
Cellular membrane
Csf
Cytoplasma
Digestion
Faecal
Faeces
Fecal
Flora
Glutaric acidemia type 2
Hexanedioate
Hexanedioic acid
INS no. 355
Kidneys
Kyselina adipova
Lipid body
Lipid droplet
Lipid metabolic process
Lipid particle
Lung carcinoma
Magnesium adipate
Membrane integrity agent
Membrane stability agent
Molten adipate
Molten adipic acid
Multiple acyl-coa dehydrogenase deficiency
Pcp
Personal hygiene
Sodium adipate
Stool
Toiletries
Toiletry
e 355
e-355
e355
Chemical formula C6H10O4
IUPAC name
hexanedioic acid
CAS registry number 124-04-9
Monisotopic molecular weight 146.057908808

Chemical taxonomy

Super class Lipids and lipid-like molecules
Class Fatty Acyls
Sub class Fatty acids and conjugates

Biological properties

Pahtways
Author-emphasized biomarker in the paper(s)

Lung cancer metabolomics studies that identify HMDB0000448 ('adipic acid')


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
Fahrmann et al. 2015 plasma diagnosis adenocarcinoma I, II, III, IV 43 21, 22 67.3 ± 10.10 healthy 43 21, 22 65.9 ± 8.05
Fahrmann et al. 2015 serum diagnosis adenocarcinoma I, II, III, IV 49 17, 32 65.9 ± 9.87 healthy 31 11, 20 64.1 ± 8.97
Miyamoto et al. 2015 blood diagnosis NSCLC, SCLC, mesothelioma, secondary metastasis to lung I, II, III, IV 11 4, 7 67 (61-73) / 67 (47-76) smoker, non-smoker healthy 11 5, 6 69 (61-83) / 54 (44-61) unknown
Fahrmann et al. 2015 plasma diagnosis adenocarcinoma I, II, III, IV 52 17, 35 65.9 ± 9.66 healthy 31 11, 20 64.1 ± 8.97
Fahrmann et al. 2015 serum diagnosis adenocarcinoma I, II, III, IV 43 21, 22 67.3 ± 10.10 healthy 43 21, 22 65.9 ± 8.05
Miyamoto et al. 2015 blood diagnosis adenocarcinoma unknown (mostly late stage) 18 10, 8 67 (50-85) / 62 (53-72) former, current healthy 20 8, 12 64 (49-80) / 66 (58-82) former, current
Callejon-Leblic et al. 2019 urine diagnosis NSCLC, SCLC 32 22, 8 66 ± 12 former, current, non-smoker healthy 29 18, 11 56 ± 13 former, non-smoker
Wikoff et al. 2015b tissue diagnosis adenocarcinoma I 39 15, 24 72.33 ± 8.78 smoker, non-smoker tumor vs. adjacent normal tissue 39 15, 24 72.33 ± 8.78 smoker, non-smoker
Reference Chromatography Ion source Positive/Negative mode Mass analyzer Identification level
Fahrmann et al. 2015 GC EI TOF
Fahrmann et al. 2015 GC EI TOF
Miyamoto et al. 2015 GC EI TOF MS/MS
Fahrmann et al. 2015 GC EI TOF
Fahrmann et al. 2015 GC EI TOF
Miyamoto et al. 2015 GC EI TOF MS/MS
Callejon-Leblic et al. 2019 GC EI ion trap
Wikoff et al. 2015b GC EI TOF
Reference Data processing software Database search
Fahrmann et al. 2015 UC Davis Metabolomics BinBase database
Fahrmann et al. 2015 UC Davis Metabolomics BinBase database
Miyamoto et al. 2015 ChromaTOF software (Leco) UC Davis Metabolomics BinBase database
Fahrmann et al. 2015 UC Davis Metabolomics BinBase database
Fahrmann et al. 2015 UC Davis Metabolomics BinBase database
Miyamoto et al. 2015 ChromaTOF software (Leco) UC Davis Metabolomics BinBase database
Callejon-Leblic et al. 2019 XCMS NIST Mass Spectral Library
Wikoff et al. 2015b BinBase NIST11, BinBase
Reference Difference method Mean concentration (case) Mean concentration (control) Fold change (case/control) P-value FDR VIP
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test 260 ± 55 292 ± 202 0.89 0.657 0.846
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test 296 ± 111 329 ± 198 0.9 0.649 0.824
Miyamoto et al. 2015 Analysis of Covariance 1755.72727272727 3091.27272727273 0.56796259263616 0.634935710634966
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test 478 ± 418 485 ± 328 0.99 0.594 0.851
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test 644 ± 274 815 ± 797 0.79 0.065 0.283
Miyamoto et al. 2015 Analysis of Covariance 2055.33333333333 2754.8 0.746091670296694 0.0285907909108603
Callejon-Leblic et al. 2019 PLS-LDA, one-way ANOVA 3.96 0.017 2.21
Wikoff et al. 2015b OPLS-DA 1.3 0.163
Reference Classification method Cutoff value AUROC 95%CI Sensitivity (%) Specificity (%) Accuracy (%)
Fahrmann et al. 2015 random forest
Fahrmann et al. 2015 random forest
Miyamoto et al. 2015
Fahrmann et al. 2015 random forest
Fahrmann et al. 2015 random forest
Miyamoto et al. 2015
Callejon-Leblic et al. 2019 ROC curve analysis 0.75
Wikoff et al. 2015b