N-Isovaleroylglycine
(Synonyms: N-异戊酰氨基乙酸) 目录号 : GC31605
A urinary metabolite of leucine
Cas No.:16284-60-9
Sample solution is provided at 25 µL, 10mM.
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Quality Control & SDS
- View current batch:
- Purity: >98.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
Isovaleroylglycine is a compound found in the urine of patients with isovaleric acidemia, a disorder created by defective leucine metabolism due to a deficiency in the isovaleryl coenzyme A dehydrogenase.1 It has been used as a diagnostic tool in the diagnosis of various acidemias and mitochondrial fatty acid β-oxidation defects.
1.Tanaka, K., and Isselbacher, K.J.The isolation and identification of N-isovalerylglycine from urine of patients with isovaleric acidemiaJ. Biol. Chem.242(12)2966-2972(1967)
| Cas No. | 16284-60-9 | SDF | |
| 别名 | N-异戊酰氨基乙酸 | ||
| Canonical SMILES | O=C(O)CNC(CC(C)C)=O | ||
| 分子式 | C7H13NO3 | 分子量 | 159.18 |
| 溶解度 | DMSO: 5 mg/ml,Methanol: 1 mg/ml | 储存条件 | Store at -20°C |
| General tips | 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液；一旦配成溶液，请分装保存，避免反复冻融造成的产品失效。 储备液的保存方式和期限：-80°C 储存时，请在 6 个月内使用，-20°C 储存时，请在 1 个月内使用。 为了提高溶解度，请将管子加热至37℃，然后在超声波浴中震荡一段时间。 |
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| Shipping Condition | 评估样品解决方案：配备蓝冰进行发货。所有其他可用尺寸：配备RT，或根据请求配备蓝冰。 | ||
| 制备储备液 | |||
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1 mg | 5 mg | 10 mg |
| 1 mM | 6.2822 mL | 31.411 mL | 62.822 mL |
| 5 mM | 1.2564 mL | 6.2822 mL | 12.5644 mL |
| 10 mM | 0.6282 mL | 3.1411 mL | 6.2822 mL |
| 第一步：请输入基本实验信息（考虑到实验过程中的损耗，建议多配一只动物的药量） | ||||||||||
| 给药剂量 | mg/kg |  |
动物平均体重 | g | |
每只动物给药体积 | ul | |
动物数量 | 只 |
| 第二步：请输入动物体内配方组成（配方适用于不溶于水的药物；不同批次药物配方比例不同，请联系GLPBIO为您提供正确的澄清溶液配方） | ||||||||||
| % DMSO % % Tween 80 % saline | ||||||||||
| 计算重置 | ||||||||||
计算结果:
工作液浓度： mg/ml；
DMSO母液配制方法： mg 药物溶于 μL DMSO溶液（母液浓度 mg/mL，
体内配方配制方法：取 μL DMSO母液，加入 μL PEG300，混匀澄清后加入μL Tween 80，混匀澄清后加入 μL saline，混匀澄清。
1. 首先保证母液是澄清的；
2.
一定要按照顺序依次将溶剂加入，进行下一步操作之前必须保证上一步操作得到的是澄清的溶液，可采用涡旋、超声或水浴加热等物理方法助溶。
3. 以上所有助溶剂都可在 GlpBio 网站选购。
Combined untargeted and targeted fingerprinting by comprehensive two-dimensional gas chromatography: revealing fructose-induced changes in mice urinary metabolic signatures
This study exploits the information potential of comprehensive two-dimensional gas chromatography configured with a parallel dual secondary column-dual detection by mass spectrometry and flame ionization (GC×2GC-MS/FID) to study changes in urinary metabolic signatures of mice subjected to high-fructose diets. Samples are taken from mice fed with normal or fructose-enriched diets provided either in aqueous solution or in solid form and analyzed at three stages of the dietary intervention (1, 6, and 12 weeks). Automated Untargeted and Targeted fingerprinting for 2D data elaboration is adopted for the most inclusive data mining of GC×GC patterns. The UT fingerprinting strategy performs a fully automated peak-region features fingerprinting and combines results from pre-targeted compounds and unknowns across the sample-set. The most informative metabolites, with statistically relevant differences between sample groups, are obtained by unsupervised multivariate analysis (MVA) and cross-validated by multi-factor analysis (MFA) with external standard quantitation by GC-MS. Results indicate coherent clustering of mice urine signatures according to dietary manipulation. Notably, the metabolite fingerprints of mice fed with liquid fructose exhibited greater derangement in fructose, glucose, citric, pyruvic, malic, malonic, gluconic, cis-aconitic, succinic and 2-keto glutaric acids, glycine acyl derivatives (N-carboxy glycine, N-butyrylglycine, N-isovaleroylglycine, N-phenylacetylglycine), and hippuric acid. Untargeted fingerprinting indicates some analytes which were not a priori pre-targeted which provide additional insights: N-acetyl glucosamine, N-acetyl glutamine, malonyl glycine, methyl malonyl glycine, and glutaric acid. Visual features fingerprinting is used to track individual variations during experiments, thereby extending the panorama of possible data elaboration tools. Graphical abstract ?.
Streptococcus pneumoniae and Staphylococcus aureus pneumonia induce distinct metabolic responses
Pneumonia is an infection of the lower respiratory tract caused by microbial pathogens. Two such pathogens, Streptococcus pneumoniae and Staphylococcus aureus, are the most common causes of community-acquired and hospital-acquired pneumonia respectively. Each expresses strains highly resistant to penicillin and other antibiotics, and a significant number of people succumb to infection by these pathogens every year. Urinary metabolite changes in a C57Bl/6 mouse model with lung infection from either S. pneumoniae or S. aureus were characterized using multivariate targeted profiling data obtained from (1)H NMR spectra. Marked changes in the urinary metabolite profile occurred within 24 h after infection with either pathogen. Specifically, significant decreases in TCA cycle intermediates, coupled with increases in fucose, creatine, and taurine were observed in the urine of S. pneumoniae-treated mice. Infection with S. aureus resulted in the decrease of a number of urinary metabolites including 1-methylnicotinamide, 3-methyl-2-oxovalerate, 2-oxoisocaproate, N-isovaleroylglycine and others. Disturbances in gut-derived microbial metabolites were also observed. Analysis of metabolic trajectory data indicated that, as the mice recovered from infection, their urinary metabolic profile became similar to that of the preinfected state. These results underline the potential of metabolomics as a tool for diagnosis, health monitoring, and drug development, and show its usefulness for understanding microbial-host interactions.