Arachidonoyl PAF C-16
(Synonyms: Arachidonoyl PAF C-16, 1-O-hexadecyl-2-Arachidonoyl-sn-glycero-3-Phosphocholine, PC(O-16:0/20:4)) 目录号 : GC42841The product of acylation of lyso-PAF C-16
Cas No.:86288-11-1
Sample solution is provided at 25 µL, 10mM.
Quality Control & SDS
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- Purity: >95.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
Arachidonoyl PAF C-16 is the product of acylation of lyso-PAF C-16 by a CoA-independent transacylase. It is the most common precursor for formation of PAF C-16 by the remodeling pathway.
Cas No. | 86288-11-1 | SDF | |
别名 | Arachidonoyl PAF C-16, 1-O-hexadecyl-2-Arachidonoyl-sn-glycero-3-Phosphocholine, PC(O-16:0/20:4) | ||
Canonical SMILES | CCCCC/C=C\C/C=C\C/C=C\C/C=C\CCCC(O[C@@H](COP([O-])(OCC[N+](C)(C)C)=O)COCCCCCCCCCCCCCCCC)=O | ||
分子式 | C44H82NO7P | 分子量 | 768.1 |
溶解度 | acidic PBS: <50 µ g/ml (from Docosahexaenoy,basic PBS: <50 µ g/ml (from Docosahexaenoy,DMF: >14.3 mg/ml (from Docosahexaen,DMSO: >2.5 mg/ml (from Docosahexaeno,Ethanol: >1.7 mg/ml (from Docosahexaeno,PBS pH 7.2: <50 µg/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 | |||
1 mg | 5 mg | 10 mg | |
1 mM | 1.3019 mL | 6.5096 mL | 13.0191 mL |
5 mM | 0.2604 mL | 1.3019 mL | 2.6038 mL |
10 mM | 0.1302 mL | 0.651 mL | 1.3019 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。
Serum and CSF Metabolites in Stroke-Free Patients Are Associated With Vascular Risk Factors and Cognitive Performance
Front Aging Neurosci 2020 Jul 22;12:193.PMID:32774300DOI:PMC7387721
Background and purpose: The aggregation of vascular risk factors (VRFs) can aggravate cognitive impairment in stroke-free patients. Metabolites in serum and cerebrospinal fluid (CSF) may irreversibly reflect early functional deterioration. This study evaluated small-molecule metabolites (<1,000 Da) in the serum and CSF of patients with different degrees of cerebrovascular burden and investigated the correlation between metabolism and cognitive performance associated with VRFs. Methods: The subjects were divided into a low-risk group (10-year stroke risk ≤ 5%), a middle-risk group (10-year stroke risk >5% and <15%), and a high-risk group (10 years stroke risk ≥ 15%) according to the Framingham stroke risk profile (FSRP) score, which was used to quantify VRFs. We assess the cognitive function of the participants. We semiquantitatively quantified the small molecules using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The correlation between the small molecules and cognitive function, along with VRFs, was investigated to identify key small molecules and possible underlying metabolic pathways. Results: When the FSRP scores increased, the cognitive performances of the subjects decreased, specifically the performance regarding the tasks of immediate memory, delayed recall, and executive function. Seven metabolites (2-aminobutyric acid, Asp Asp Ser, Asp Thr Arg, Ile Cys Arg, 1-methyluric acid, 3-tert-butyladipic acid, and 5α-dihydrotestosterone glucuronide) in serum and three metabolites [Asp His, 13-HOTrE(r), and 2,5-di-tert-Butylhydroquinone] in CSF were significantly increased, and one metabolite (Arachidonoyl PAF C-16) in serum was significantly decreased in high-risk group subjects. Among these metabolites, 1-methyluric acid, 3-tert-butyladipic, acid and Ile Cys Arg in serum and 13-HOTrE(r), 2,5-di-tert-butylhydroquinone, and Asp His in CSF were found to be negatively related with cognitive performance in the high-risk group. Arachidonoyl PAF C-16 in serum was found to be associated with better cognitive performance. Caffeine metabolism and the tricarboxylic acid cycle (TCA cycle) were identified as key pathways. Conclusions: 1-Methyluric acid, 3-tert-butyladipic acid, Arachidonoyl PAF C-16, and Ile Cys Arg in serum and 13-HOTrE(r), 2,5-di-tert-butylhydroquinone, and Asp His in CSF were identified as potential biomarkers of vascular cognitive impairment (VCI) at the early stage. Caffeine metabolism and the TCA cycle may play important roles in the pathophysiology of VRF-associated cognitive impairment.