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采用80%丙酮提取物的水萃取部位,利用凝胶、MCI、反相碳18、及 Toyopearl Butyl-650C 柱色谱进行分离纯化得到7个黄酮和3个苯乙醇苷类化合物。根据化合物的波谱数据分析鉴定为槲皮素(1)、槲皮苷(2)、异懈皮苷(3)、芦丁(4)、异牡荆素(5)、牡荆素(6)、木犀草素-7-O-α-L-鼠李糖(1→6)-β-D-葡萄糖苷(7)、2-phenethylβ-D-glucoside(8)、icariside D1(9)、2-苯乙基-D-芸香甙(10)。其中化合物1-3、5-6、8-10为首次从本属植物中分离得到。 相似文献
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Bryan G. Fry Eivind A.B. Undheim Syed A. Ali Timothy N. W. Jackson Jordan Debono Holger Scheib Tim Ruder David Morgenstern Luke Cadwallader Darryl Whitehead Rob Nabuurs Louise van der Weerd Nicolas Vidal Kim Roelants Iwan Hendrikx Sandy Pineda Gonzalez Ivan Koludarov Alun Jones Glenn F. King Agostinho Antunes Kartik Sunagar 《Molecular & cellular proteomics : MCP》2013,12(7):1881-1899
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Rheumatoid arthritis (RA) is associated with a similar cardiovascular risk to that in diabetes, and therefore cardiovascular risk management (CV-RM) - that is, identification and treatment of cardiovascular risk factors (CRFs) - is mandatory. However, whether and to what extent this is done in daily clinical practice is unknown. In a retrospective cohort investigation, CV-RM was therefore compared between rheumatologists and primary care physicians (PCPs). Remarkably, CRFs in RA were less frequently identified and managed by rheumatologists in comparison with PCPs. In addition, PCPs assessed CRFs less frequently in RA than in diabetes. Obviously, there is a clear need for improvement of CV-RM in RA and this should be a joint effort from the rheumatologist and the PCP.Patients with rheumatoid arthritis (RA) have an increased cardiovascular (CV) risk that appears similar to that in diabetes. This observation highlights the significant CV burden in RA. In 1999, the American Diabetes Association and the American Heart Association published a statement for prevention of CV disease in diabetes. Since then, the CV risk in diabetes has been substantially lower than in earlier decades. Given the increased CV risk in RA, screening, identification of cardiovascular risk factors (CRFs) and cardiovascular risk management (CV-RM) are also highly needed as recommended by the European League Against Rheumatism (EULAR). The increased risk in RA is attributed to systemic inflammation as well as increased prevalence of CRFs. Hence, we should aim for tight disease control and control of CRFs.Presently unknown is whether and to what extent CV-RM is translated into clinical practice. In a retrospective cohort-comprising 251 patients with RA, 251 patients with diabetes, and 251 general population individuals-Desai and colleagues therefore investigated the identification and management of CRFs by rheumatologists and primary care physicians (PCPs) [1]. RA patients had to be registered at the University of Michigan Health System for at least 12 months between June 2007 and April 2012 and had been evaluated both by their rheumatologist as well as the PCP. CRFs of interest were smoking, exercise, weight, blood pressure, lipid profile, and fasting blood glucose.In RA, PCPs identified and managed most CRFs more frequently than rheumatologists. Secondly, identification of CRFs by rheumatologists in RA patients with elevated C-reactive protein levels was not different as compared with those with normal C-reactive protein levels. A third important observation was that PCPs identified and managed CRFs more frequently in patients with diabetes, followed by general population individuals and least often in RA patients. These striking results raise several issues.First, it is hard to believe that the largely absent CV-RM by rheumatologists is explained by under-recognition because the increased CV risk in RA must presently be well known among rheumatologists. A large amount of literature on this topic has been published over the last decade. Additionally, the necessity to screen, identify, and manage CRFs is incorporated into training programmes for rheumatology residents [2]. Against this background, it is important to realise that there is a lag time between the publication of the EULAR guideline and its actual implementation (that is, the guideline was published in 2010 [3] while the current study started in 2007). In other words, CV-RM in today''s clinical practice might have been improved, but not yet recognised.Second, that the CV risk in RA is related to the inflammatory burden is well known. Nevertheless, the present study did not indicate that there is more attention for CV-RM by rheumatologists in patients with a higher inflammatory load.Third, undertreatment of the increased CV risk in RA by PCPs might be explained by under-recognition because CRFs were assessed more frequently in diabetes in comparison with RA.The EULAR guidelines recommend screening and identification of CRFs in all RA patients, and, if indicated according to CV risk-prediction charts, adequate management. As accurate assessment of CV risk depends on RA characteristics, the EULAR favoured individualising risk assessment. Hence, a risk multiplication factor of 1.5 should be used in the presence of two of the following criteria: disease duration >10 years, rheumatoid factor, and/or anti-cyclic citrullinated peptide positivity or the presence of extra-articular manifestations. However, alternative approaches have been suggested - for example, increasing the age of an RA patient by 10 years to obtain a more precise CV risk estimate or to use other risk scores. Perhaps this lack of an RA-specific CV risk-prediction model hampers CV-RM implementation. Obviously, this discussion can only be solved by developing a RA-specific CV risk-prediction model, but this will take several years to complete.One may obviously argue that, due to its retrospective design, the strength of the conclusions of Desai and colleagues may be limited; however, they are in line with other recently published literature and thus confirm extending evidence that CV-RM is poorly conducted in RA, both by rheumatologists and PCPs. Another argument against CV-RM in RA is that we should wait until trials have been conducted that demonstrate the efficacy of statins and antihypertensive agents in RA. However, it will be (many) years before specific risk models are available and withholding cardiopreventive drugs that are very likely to work also in our high-risk population is unethical. Moreover, it is important to realise that, due to the decreased incidence of CV events in the last decades, CV prevention trials are nowadays very difficult to conduct. For instance, the TRACE-RA study [4] - a large placebo-controlled double-blind primary CV prevention trial in RA with atorvastatin - was stopped prematurely owing to the very low number of CV events that occurred.Altogether, the study from Desai and colleagues provides three important clues for improvement of CV-RM in RA. First, more education is urgently needed for both rheumatologists and PCPs. Second, it is important to realise that the contribution of higher prevalence CRFs in RA is one side of the coin, but the other side is effective suppression of the inflammation. The latter is a clear task for the rheumatologist. Third, CV care of a RA patient should be a joint effort by the rheumatologist and the PCP, and they should collaborate and agree on who performs the screening, identification, and, if required, management of CRFs. 相似文献
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Gutiérrez C JL G González C MA Segura C I Sánchez C JA Orozco V M Fortis H 《Phyton》2015,84(2):298-305
Leonardite is an oxidized form of lignite carbon, which is obtained from fossilized organic materials. Such materials are used for the extraction of humic acids (HA). The result of the addition of HA of organic origin on soil structure is known; however, the effects of adding HA of Leonardite on soil structure have been scarcely investigated. The objectives of this research were (1) to determine the influence of humic acids derived from Leonardite in increasing the aggregate stability of an Aridisol under greenhouse conditions, and (2) evaluate the morphology of the root xylem during the phenological development of melon plants (Cucumis melo L.). Three treatments of HA solution application to the soil were used: soil without solution application (HA0), and application of HA solution to the soil with pH 6 (HA6) or (HA7). Aggregate stability (As) and bulk density (Da) were evaluated as soil variables. Development and quantification of xylem area were studied on plants. There were significant differences in aggregate stability. Also, there was an increase in the root xylem area, and the best treatment was when AH7 solution was applied. Humic acids derived from Leonardite increased the stability of soil aggregates when plants grew under greenhouse conditions, and fostered the development of xylem conduits during the fruiting stage. 相似文献
89.
Stereoselectivity of Mucorales lipases toward triradylglycerols--a simple solution to a complex problem
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Scheib H Pleiss J Kovac A Paltauf F Schmid RD 《Protein science : a publication of the Protein Society》1999,8(1):215-221
The lipases from Rhizopus and Rhizomucor are members of the family of Mucorales lipases. Although they display high sequence homology, their stereoselectivity toward triradylglycerols (sn-2 substituted triacylglycerols) varies. Four different triradylglycerols were investigated, which were classified into two groups: flexible substrates with rotatable O'-C1' ether or ester bonds adjacent to C2 of glycerol and rigid substrates with a rigid N'-C1' amide bond or a phenyl ring in sn-2. Although Rhizopus lipase shows opposite stereopreference for flexible and rigid substrates (hydrolysis in sn-1 and sn-3, respectively), Rhizomucor lipase hydrolyzes both groups of triradylglycerols preferably in sn-1. To explain these experimental observations, computer-aided molecular modeling was applied to study the molecular basis of stereoselectivity. A generalized model for both lipases of the Mucorales family highlights the residues mediating stereoselectivity: (1) L258, the C-terminal neighbor of the catalytic histidine, and (2) G266, which is located in a loop contacting the glycerol backbone of a bound substrate. Interactions with triradylglycerol substrates are dominated by van der Waals contacts. Stereoselectivity can be predicted by analyzing the value of a single substrate torsion angle that discriminates between sn-1 and sn-3 stereopreference for all substrates and lipases investigated here. This simple model can be easily applied in enzyme and substrate engineering to predict Mucorales lipase variants and synthetic substrates with desired stereoselectivity. 相似文献
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