Showing information for HMDB0000452 ('L-alpha-aminobutyric acid', '2-aminobutyrate')


Metabolite information

HMDB ID HMDB0000452
Synonyms
(+)-2-Aminobutanoate
(+)-2-Aminobutanoic acid
(+)-2-Aminobutyric acid
(+)-alpha-Aminobutyric acid
(-)-2-Aminobutyrate
(-)-2-Aminobutyric acid
(2S)-2-Aminobutanoate
(2S)-2-Aminobutanoic acid
(2S)-2-Aminobutyrate
(2S)-2-Aminobutyric acid
(S)-(+)-alpha-Aminobutyric acid
(S)-2-Aminobutanoate
(S)-2-Aminobutanoic acid
(S)-2-Aminobutyrate
(S)-2-Aminobutyric acid
(S)-2-amino-Butanoate
(S)-2-amino-Butanoic acid
2-Aminobutanoate
2-Aminobutanoic acid
2-Aminobutyrate
2-Aminobutyric acid
2S-amino-Butanoate
2S-amino-Butanoic acid
Butyrine
Butyrine, (+-)-isomer
Butyrine, (R)-isomer
Butyrine, (S)-isomer
Homoalanine
L-(+)-2-Aminobutyrate
L-(+)-2-Aminobutyric acid
L-2-Aminobuttersaeure
L-2-Aminobutyrate
L-2-Aminobutyric acid
L-2-amino-N-Butyric acid
L-Butyrine
L-Ethylglycine
L-Homoalanine
L-a-Aminobutyrate
L-a-Aminobutyric acid
L-a-amino-N-Butyrate
L-a-amino-N-Butyric acid
L-alpha-Aminobutyrate
L-alpha-amino-N-Butyrate
L-alpha-amino-N-Butyric acid
L-α-amino-N-butyrate
L-α-amino-N-butyric acid
L-α-aminobutyrate
L-α-aminobutyric acid
S-Butyrine
alpha-Aminobutyric acid
alpha-Aminobutyric acid, (+-)-isomer
alpha-Aminobutyric acid, (R)-isomer
alpha-Aminobutyric acid, (S)-isomer
Chemical formula C4H9NO2
IUPAC name
(2S)-2-aminobutanoic acid
CAS registry number 1492-24-6
Monoisotopic molecular weight 103.063328537

Chemical taxonomy

Super class Organic acids and derivatives
Class Carboxylic acids and derivatives
Sub class Amino acids, peptides, and analogues

Biological properties

Pathways (Pathway Details in HMDB)

The paper(s) that report HMDB0000452 as a lung cancer biomarker

The studies that identify HMDB0000452 as a lung cancer-related metabolite


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
Ro?-Mazurczyk et al. 2017 Poland serum diagnosis adenocarcinoma, squamous cell carcinoma I, II, III 31 17, 14 52-72 healthy 92 52, 40 52-73
Mazzone et al. 2016 US 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
Hao et al. 2016 Canada serum diagnosis lung cancer I, II, III, IV 25 15, 10 64 (42–77) smoker, non-smoker before vs. after treatment (radiation treatment) smoker, non-smoker
Moreno et al. 2018 Spain 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
Moreno et al. 2018 Spain 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
Reference Chromatography Ion source Positive/Negative mode Mass analyzer Identification level
Ro?-Mazurczyk et al. 2017 GC TOF In-source fragmentation
Mazzone et al. 2016 LC ESI positive linear ion-trap MS/MS
Hao et al. 2016 NMR
Moreno et al. 2018 LC, GC ESI, EI both LC: linear ion-trap, GC: single-quadrupole LC: MS/MS
Moreno et al. 2018 LC, GC ESI, EI both LC: linear ion-trap, GC: single-quadrupole LC: MS/MS
Reference Data processing software Database search
Ro?-Mazurczyk et al. 2017 Leco ChromaTOF-GC Replib, Mainlib and Fiehn libraries
Mazzone et al. 2016 Metabolon LIMS system Metabolon LIMS system
Hao et al. 2016 Chenomx NMR Suite 7.1, Metabolite Detector
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
Ro?-Mazurczyk et al. 2017 two-sample T test, U Mann-Whitney test, Benjamini-Hochberg approach 0.89256 ± 0.2562 0.89347 ± 0.36794 1.00 0.67 0.79
Mazzone et al. 2016 two- sample independent t test 1.124172± 0.4246283 1.029227± 0.30986 1.09 0.03 0.08
Hao et al. 2016 OPLS-DA, CV-ANOVA >1
Moreno et al. 2018 paired two-sample t-test, PLS-DA 1.35 2.36e-07 6.68e-07
Moreno et al. 2018 paired two-sample t-test, PLS-DA 1.24 2.07e-04 6.30e-04
Reference Classification method Cutoff value AUROC 95%CI Sensitivity (%) Specificity (%) Accuracy (%)
Ro?-Mazurczyk et al. 2017 ROC curve
Mazzone et al. 2016
Hao et al. 2016
Moreno et al. 2018
Moreno et al. 2018