19,20-Epoxycytochalsin Q
* Please be kindly noted products are not for therapeutic use. We do not sell to patients.
| Category | Others |
| Catalog number | BBF-04980 |
| CAS | 156098-31-6 |
| Molecular Weight | 523.62 |
| Molecular Formula | C30H37NO7 |
Online Inquiry
Specification
| Synonyms | 2H-Oxireno[f]oxireno[9,10]cycloundec[1,2-d]isoindole-3,12(1aH,4H)-dione, 2-(acetyloxy)-5,5a,6,6a,7a,7b,10,11,13,13a-decahydro-13-hydroxy-6,6a,11,13-tetramethyl-5-(phenylmethyl)-, (1aS,2S,2aR,5S,5aR,6S,6aR,7aS,7bR,8E,11S,13R,13aR)-; [11]Cytochalas-13-ene-1,17-dione, 21-(acetyloxy)-6,7:19,20-diepoxy-18-hydroxy-16,18-dimethyl-10-phenyl-, (7S,13E,16S,18R,19R,20S,21R)- (1aS,2S,2aR,5S,5aR,6S,6aR,7aS,7bR,8E,11S,13R,13aR)-2-(Acetyloxy)-5,5a,6,6a,7a,7b,10,11,13,13a-decahydro-13-hydroxy-6,6a,11,13-tetramethyl-5-(phenylmethyl)-2H-oxireno[f]oxireno[9,10]cycloundec[1,2-d]isoindole-3,12(1aH,4H)-dione |
| IUPAC Name | (4S,6R,6aR,7aR,8R,8aR,11S,11aR,12S,12aR,13aS,13bR,E)-11-benzyl-6-hydroxy-4,6,12,12a-tetramethyl-5,9-dioxo-4,5,6,6a,7a,8,9,10,11,11a,12,12a,13a,13b-tetradecahydro-3H-oxireno[2,3-f]oxireno[2',3':9,10]cycloundeca[1,2-d]isoindol-8-yl acetate |
Properties
| Boiling Point | 705.5±60.0°C (Predicted) |
| Density | 1.30±0.1 g/cm3 (Predicted) |
Reference Reading
1. Q Methodology in the COVID-19 Era
Ahmed S Alanazi, Heather Wharrad, Fiona Moffatt, Michael Taylor, Muhammad Ladan Healthcare (Basel). 2021 Nov 2;9(11):1491. doi: 10.3390/healthcare9111491.
All face-to-face studies were affected by the COVID-19 pandemic, as they could not be run in person due to rules and guidance linked to social distancing which were in force during the outbreak. Finding and testing an available COVID-secure approach for both participants and researchers was important as was the need to continue conducting such studies during this critical time. At present, the extant literature indicates a clear gap in research that elucidates how to carry out a Q methodology study online, step by step. This paper describes an option for online Q methodology using an approach that simulates all of the steps performed in a face-to-face setting using an open-source software known as Easy-HtmlQ. Using a case study in telemedicine adoption as illustration, this paper also considers the perspective of both research participants and Q methodology researchers via semi-structured interviews. Using Easy-HtmlQ V1.1 in online Q methodology studies appears to be an affordable, practical and user-friendly solution. Some of the benefits associated with running Q methodology studies online were the decreased costs, enabling the recruitment of wider number of participants, providing a COVID-19-secure environment and offering convenience to both participants and researchers during the research process. The findings of this study may contribute to increasing the number of online Q methodology studies in the future, as it has succeeded in offering a feasible approach for Q methodology researchers.
2. Potential Genes Associated with COVID-19 and Comorbidity
Shanshan Feng, Fuqiang Song, Wenqiong Guo, Jishan Tan, Xianqin Zhang, Fengling Qiao, Jinlin Guo, Lin Zhang, Xu Jia Int J Med Sci. 2022 Jan 24;19(2):402-415. doi: 10.7150/ijms.67815. eCollection 2022.
Hypertension, diabetes mellitus, and coronary artery disease are common comorbidities and dangerous factors for infection and serious COVID-19. Polymorphisms in genes associated with comorbidities may help observe susceptibility and disease severity variation. However, specific genetic factors and the extent to which they can explain variation in susceptibility of severity are unclear. Therefore, we evaluated candidate genes associated with COVID-19 and hypertension, diabetes mellitus, and coronary artery disease. In particular, we performed searches against OMIM, NCBI, and other databases, protein-protein interaction network construction, and GO and KEGG pathway enrichment analyses. Results showed that the associated overlapping genes were TLR4, NLRP3, MBL2, IL6, IL1RN, IL1B, CX3CR1, CCR5, AGT, ACE, and F2. GO and KEGG analyses yielded 302 GO terms (q < 0.05) and 29 signaling pathways (q < 0.05), respectively, mainly including coronavirus disease-COVID-19 and cytokine-cytokine receptor interaction. IL6 and AGT were central in the PPI, with 8 and 5 connections, respectively. In this study, we identified 11 genes associated with both COVID-19 and three comorbidities that may contribute to infection and disease severity. The key genes IL6 and AGT are involved in regulating immune response, cytokine activity, and viral infection. Therefore, RAAS inhibitors, AGT antisense nucleotides, cytokine inhibitors, vitamin D, fenofibrate, and vaccines regulating non-immune and immune factors could be potential strategies to prevent and cure COVID-19. The study provides a basis for further investigation of genes and pathways with predictive value for the risk of infection and prognosis and could help guide drug and vaccine development to improve treatment efficacy and the development of personalised treatments, especially for COVID-19 individuals with common comorbidities.
3. Causal associations between COVID-19 and atrial fibrillation: A bidirectional Mendelian randomization study
Xiaoyu Zhang, Biyan Wang, Tao Geng, Di Liu, Qiuyue Tian, Xiaoni Meng, Qiaoyun Zhang, Mengyang Jiang, Yiqiang Zhang, Manshu Song, Wei Wang, Youxin Wang, Baoguo Wang Nutr Metab Cardiovasc Dis. 2022 Apr;32(4):1001-1009. doi: 10.1016/j.numecd.2021.11.010. Epub 2021 Nov 20.
Background and aims: Observational studies showed that coronavirus disease (2019) (COVID-19) attacks universally and its most menacing progression uniquely endangers the elderly with cardiovascular disease (CVD). The causal association between COVID-19 infection or its severity and susceptibility of atrial fibrillation (AF) remains unknown. Methods and results: The bidirectional causal relationship between COVID-19 (including COVID-19, hospitalized COVID-19 compared with not hospitalized COVID-19, hospitalized COVID-19 compared with the general population, and severe COVID-19) and AF are determined by using two-sample Mendelian randomization (MR) analysis. Genetically predicted severe COVID-19 was not significantly associated with the risk of AF [odds ratio (OR), 1.037; 95% confidence interval (CI), 1.005-1.071; P = 0.023, q = 0.115]. In addition, genetically predicted AF was also not causally associated with severe COVID-19 (OR, 0.993; 95% CI, 0.888-1.111; P = 0.905, q = 0.905). There was no evidence to support the association between genetically determined COVID-19 and the risk of AF (OR, 1.111; 95% CI, 0.971-1.272; P = 0.127, q = 0.318), and vice versa (OR, 1.016; 95% CI, 0.976-1.058; P = 0.430, q = 0.851). Besides, no significant association was observed for hospitalized COVID-19 with AF. MR-Egger analysis indicated no evidence of directional pleiotropy. Conclusion: Overall, this MR study provides no clear evidence that COVID-19 is causally associated with the risk of AF.
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Bio Calculators
* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳
