Yohimbic acid
(Synonyms: 育亨酸) 目录号 : GC61386Yohimbicacid是Yohimbine的两性脱甲基衍生物。Yohimbicacid表现出血管舒张作用,并具有进行骨关节炎(OA)研究的潜力。
Cas No.:522-87-2
Sample solution is provided at 25 µL, 10mM.
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Yohimbic acid is an amphoteric demethylated derivative of Yohimbine. Yohimbic acid exhibits vasodilatory action. Yohimbic acid also can be used for the research of osteoarthritis (OA)[1][2][3].
[1]. Wang S, et, al. Significantly dysregulated genes in osteoarthritic labrum cells identified through gene expression profiling. Mol Med Rep. 2019 Aug; 20(2): 1716-1724. [2]. HAMET R. [Sympatholytic activity and toxicity of an amphoteric demethylated derivative of yohimbine: yohimbic acid]. C R Hebd Seances Acad Sci. 1951 Oct 29;233(18):1069-71. [3]. HAMET R. [Demonstration of the direct vasodilatory action of yohimbic acid and Py-tetrahydroquinoline]. C R Hebd Seances Acad Sci. 1960 Jun 27;250:4473-5.
Cas No. | 522-87-2 | SDF | |
别名 | 育亨酸 | ||
Canonical SMILES | OC([C@@H]1[C@@]2([H])C[C@@]3([H])C4=C(CCN3C[C@]2([H])CC[C@@H]1O)C5=CC=CC=C5N4)=O | ||
分子式 | C20H24N2O3 | 分子量 | 340.42 |
溶解度 | DMSO : 125 mg/mL (367.19 mM; Need ultrasonic) | 储存条件 | Store at -20°C |
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1 mg | 5 mg | 10 mg | |
1 mM | 2.9375 mL | 14.6877 mL | 29.3755 mL |
5 mM | 0.5875 mL | 2.9375 mL | 5.8751 mL |
10 mM | 0.2938 mL | 1.4688 mL | 2.9375 mL |
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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 | |||
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% DMSO % % Tween 80 % saline | ||||||||||
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工作液浓度: mg/ml;
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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。
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Significantly dysregulated genes in osteoarthritic labrum cells identified through gene expression profiling
Mol Med Rep 2019 Aug;20(2):1716-1724.PMID:31257478DOI:10.3892/mmr.2019.10389.
The aim of the present study was to explore the molecular basis and identify significant genetic alterations in acetabular labrum cells associated with osteoarthritis (OA). Gene expression data of osteoarthritic and normal human labrum cells were downloaded from a public database and reanalyzed. Significant differentially expressed genes (DEGs) were acquired by performing a thorough analysis of microarray data between the OA acetabular labrum cells and control cells. Key genes in OA labrum cells were revealed by a combination of weighted gene co‑expression network analysis (WGCNA) and protein‑protein interaction (PPI) analysis. Literature mining and drug screening were further performed for these key genes. In total, 141 DEGs between OA and normal labrum cells were identified. In addition, WGCNA and PPI analysis identified 23 DEGs as key genes in the OA labrum. All the key genes were significantly downregulated in OA labrum cells and were grouped into two different WGCNA‑PPI common subnetworks. Kinase insert domain receptor (KDR), CD34, cadherin 5 (CDH5), Fms related tyrosine kinase 1 (FLT1) and asporin were hub nodes in the PPI network of DEGs. These key genes were significantly enriched in functional clusters of transforming growth factor, alkaline phosphatase, bone morphogenic protein and extracellular matrix. Drug screening analysis identified several drugs targeting the key genes, including arachidonic acid, Yohimbic acid and mimosine. The results of the present study indicate that the changes of FLT1, KDR, CD34 and CDH5 in acetabular labrum cells may be involved in the pathogenesis of OA and could serve as biomarkers and therapeutic targets of OA. Additionally, arachidonic acid, Yohimbic acid and mimosine may act as potential drugs for OA.
Bioinformatics and Machine Learning Methods to Identify FN1 as a Novel Biomarker of Aortic Valve Calcification
Front Cardiovasc Med 2022 Feb 28;9:832591.PMID:35295271DOI:10.3389/fcvm.2022.832591.
Aim: The purpose of this study was to identify potential diagnostic markers for aortic valve calcification (AVC) and to investigate the function of immune cell infiltration in this disease. Methods: The AVC data sets were obtained from the Gene Expression Omnibus. The identification of differentially expressed genes (DEGs) and the performance of functional correlation analysis were carried out using the R software. To explore hub genes related to AVC, a protein-protein interaction network was created. Diagnostic markers for AVC were then screened and verified using the least absolute shrinkage and selection operator, logistic regression, support vector machine-recursive feature elimination algorithms, and hub genes. The infiltration of immune cells into AVC tissues was evaluated using CIBERSORT, and the correlation between diagnostic markers and infiltrating immune cells was analyzed. Finally, the Connectivity Map database was used to forecast the candidate small molecule drugs that might be used as prospective medications to treat AVC. Results: A total of 337 DEGs were screened. The DEGs that were discovered were mostly related with atherosclerosis and arteriosclerotic cardiovascular disease, according to the analyses. Gene sets involved in the chemokine signaling pathway and cytokine-cytokine receptor interaction were differently active in AVC compared with control. As the diagnostic marker for AVC, fibronectin 1 (FN1) (area the curve = 0.958) was discovered. Immune cell infiltration analysis revealed that the AVC process may be mediated by naïve B cells, memory B cells, plasma cells, activated natural killer cells, monocytes, and macrophages M0. Additionally, FN1 expression was associated with memory B cells, M0 macrophages, activated mast cells, resting mast cells, monocytes, and activated natural killer cells. AVC may be reversed with the use of Yohimbic acid, the most promising small molecule discovered so far. Conclusion: FN1 can be used as a diagnostic marker for AVC. It has been shown that immune cell infiltration is important in the onset and progression of AVC, which may benefit in the improvement of AVC diagnosis and treatment.
Characterization and quantitation of yohimbine and its analogs in botanicals and dietary supplements using LC/QTOF-MS and LC/QQQ-MS for determination of the presence of bark extract and yohimbine adulteration
J AOAC Int 2015 Mar-Apr;98(2):330-5.PMID:25905738DOI:10.5740/jaoacint.14-246.
The compound yohimbine HCl has been restricted in Australia and categorized as a scheduled prescription drug in other parts of the world, including the United States where it is monographed as a drug in the U. S. Pharmacopeia. However, the bark of the yohimbe plant and its extract is considered a botanical that can be used as a dietary supplement in some parts of the world. For these reasons, methods to characterize the indole alkaloids of the bark and quantify yohimbine and its analogs are presented using accurate mass LC/quadrupole time-of-flight (QTOF)-MS and triple quadrupole LC/MS, respectively. Samples were extracted with a QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) method to characterize and quantify the indole alkaloids. With the LC/QTOF-MS in auto MS/MS mode the indole alkaloids were identified, and the isomeric response of each could be used to determine whether the actual bark or extract was in samples of dietary supplements and not adulteration with yohimbine HCl. Analogs were identified and include Yohimbic acid, methyl yohimbine, and hydroxyl yohimbine. Many isomers of each were also detected, but identified only by the number of chromatographic peaks. Quantification of yohimbine and ajmalicine spiked extracts showed recoveries of 99 to 103% with RSD of 3.6% or lower and LODs of less than 100 ppt. Calibration of the two standards gave r(2) = 0.9999 in a range from 0.1 to 100 ppb. Dietary supplements quantified for these two compounds showed a range from not detected to 3x the amounts found in the bark.