Showing information for HMDB0003402 ('lyxose')

Metabolite information
HMDB ID HMDB0003402
Synonyms
2,3,4,5-Tetrahydroxypentanal
Adipose
Body fat
Calcium pectinate
D-Lyxose
DL-Xylose
Extracellular region
Fat tissue
Kidneys
L-Lyxose
L[+]-Xylose
Lyxose
Methoxy pectin
Methoxylpectin
Methoxypectin
Neuron
Pectin sugar
Pectinic acid
Pectinose
Pentose
Prostate gland
Striated muscle
Testes
Testis
Thrombocyte
Trobicin
Zinc pectinate
[+]-Xylose
Chemical formula C6H10O7
IUPAC name
(2S,3R,4S,5R,6R)-3,4,5,6-tetrahydroxyoxane-2-carboxylic acid
CAS registry number 9000-69-5
Monisotopic molecular weight 194.042652674

Chemical taxonomy
Super class Organic oxygen compounds
Class Organooxygen compounds
Sub class Carbohydrates and carbohydrate conjugates

Biological properties
Pahtways
Author-emphasized biomarker in the paper(s)

Lung cancer metabolomics studies that identify HMDB0003402 ('lyxose')

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 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 49 17, 32 65.9 ± 9.87 – healthy 31 11, 20 64.1 ± 8.97 –
Sun et al. 2019 – serum diagnosis lung cancer I, II, III, IV 31 21, 10 54.1 ± 9.9  smoker, non-smoker healthy 29 15, 14 52.1 ± 14.6 smoker, non-smoker
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 –
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 –
Chen et al. 2018 – serum diagnosis NSCLC I, II 90 40, 50 58.1 ± 9.0 – healthy 90 42, 48 53.0 ± 11.8 –
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 –
Sun et al. 2019 GC – – – –
Fahrmann et al. 2015 GC EI – TOF –
Fahrmann et al. 2015 GC EI – TOF –
Chen et al. 2018 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
Sun et al. 2019 – BinBase, KEGG
Fahrmann et al. 2015 – UC Davis Metabolomics BinBase database
Fahrmann et al. 2015 – UC Davis Metabolomics BinBase database
Chen et al. 2018 Chroma TOF LECO-Fiehn Rtx 5
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 124 ± 107 140 ± 109 0.89 0.438 0.773 –
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test 151 ± 121 229 ± 282 0.66 0.276 0.604 –
Sun et al. 2019 Student t test, PLS-DA – – 0.542084627312226 0.000262 0.002596 1.0744
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test – – – – – –
Fahrmann et al. 2015 regress (by the covariates: age, gender and smoking history [packs per year]), permutation test – – – – – –
Chen et al. 2018 PCA, OPLS-DA – – 0.85 – – 1.45
Reference Classification method Cutoff value AUROC 95%CI Sensitivity (%) Specificity (%) Accuracy (%)
Fahrmann et al. 2015 random forest – – – – –
Fahrmann et al. 2015 random forest – – – – –
Sun et al. 2019 ROC curve analysis – – – – –
Fahrmann et al. 2015 random forest – – – – –
Fahrmann et al. 2015 random forest – – – – –
Chen et al. 2018 ROC curve – – – – –