Metabolite information |
|
| HMDB ID | HMDB0000001 |
| Synonyms |
1 Methylhistidine1-MHis1-Methyl histidine1-Methyl-L-histidine1-Methyl-histidine1-Methylhistidine1-Methylhistidine dihydrochloride1-N-Methyl-L-histidineAdult-onset diabetesCsfCytoplasmaFaecalFaecesFecalL-1-MethylhistidineN1-Methyl-L-histidineNephropathyNiddmNon-insulin-dependent diabetes mellitusPi-methylhistidineRenal diseaseStoolStriated muscle[2S]-2-amino-3-[1-Methyl-1H-imidazol-4-yl]propanoate[2S]-2-amino-3-[1-Methyl-1H-imidazol-4-yl]propanoic acid |
| Chemical formula | C7H11N3O2 |
| IUPAC name | (2S)-2-amino-3-(1-methyl-1H-imidazol-4-yl)propanoic acid |
| CAS registry number | 332-80-9 |
| Monisotopic molecular weight | 169.085126611 |
Chemical taxonomy |
|
| Super class | Organic acids and derivatives |
| Class | Carboxylic acids and derivatives |
| Sub class | Amino acids, peptides, and analogues |
Biological properties |
|
| Pahtways |
Histidine MetabolismHistidinemia |
| Author-emphasized biomarker in the paper(s) |
|
| 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 | ||||
| Klupczynska et al. 2016a | – | serum | diagnosis | adenocarcinoma, squamous cell carcinoma | I, II, III | 90 | 58, 32 | 64 (48-86) | current, non-smoker, unknown | healthy | 63 | 41, 22 | 62 (43-78) | smoker, non-smoker, unknown |
| Yue et al. 2018 | – | plasma | diagnosis | SCLC | – | 20 | – | – | – | healthy | 20 | – | – | – |
| 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 |
| Klupczynska et al. 2016a | LC | – | – | QTRAP | MS/MS |
| Yue et al. 2018 | LC | ESI | positive, negative | QTRAP | 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 |
| Klupczynska et al. 2016a | – | – |
| Yue et al. 2018 | Analyst, MultiQuant | – |
| Moreno et al. 2018 | – | KEGG, HMDB |
| Reference | Difference method | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
| Klupczynska et al. 2016a | t-test, Welch’s t-test or the Mann-Whitney U test, one-way ANOVA | 7±5.85 ?M | 8.19±7.61 ?M | 0.85 | 0.7583 | – | – |
| Yue et al. 2018 | OPLS-DA, student’s t-test | 3102.10±695.01 ng/mL | 1912.36±722.30 ng/mL | 2.69446715373138 | 0.000435 | – | 1.27 |
| Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 2.3716023875836 | 0.00000000499045155496365 | 0.000000019911901704305 | – |
| Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
| Klupczynska et al. 2016a | ROC curve analysis (Monte-Carlo cross validation), discriminant function analysis | – | 0.515 | – | – | – |
| Yue et al. 2018 | – | – | – | – | – | – |
| Moreno et al. 2018 | – | – | – | – | – | – |