新缩瞳剂包公藤甲素人工合成研究

包公藤甲素是从包公藤(Erycibe obtusifolia Benth.)茎中提得的一个新莨菪烷生物碱,具有强烈的缩瞳作用,临床用于治疗青光眼。本文报道用合成的6β-乙酰氧基托品酮为原料,经卤代、水解、还原和N-去甲基化等反应合成包甲素(8)。经光谱测定证实8与天然包甲素的结构完全一致。合成品系外消旋体,其作用机理与天然品相同,而强度则减半。     

DA8 Evaluating Health Outcomes and Pharmacoeconomic Literature

In 1997, the United States Pharmacopeia (USP) established an Ad Hoc Outcomes/Cost Effectiveness Advisory Panel to consider the development of specifications for compiling, indexing, and evaluating outcomes research/cost-effectiveness literature on a disease-specific basis. Such a resource could be used to support pharmaceutical therapy choice decision making by a variety of potential users. The USP had developed a protype health outcomes and pharmacoeconomic annotated registry of the literature on the disease state, congestive heart failure. Other organizations have established and are marketing pharmacoeconomic and health outcome literature registries, with two examples being the HEED database (OHE-IFPMA Database Ltd.) and the University of York NHS Centre for Reviews and Dissemination (DARE).
OBJECTIVE: To share experiences and to identify the needs of decision makers for outcome/pharmacoeconomic information and to discuss whether they are being met by currently available literature sources. Decision makers include health care practitioners, managed care organizations, third party payers, industry and governments.
WORKSHOP FORMAT: The USP congestive heart failure protype literature registry will be described and compared to currently available pharmacoeconomic/outcome databases. Participants will share their assessment of the currently available abstracting service/databases and determine if there is a role for further developments.
DESIRED OUTCOME: To determine if there is a need for a collaborative approach among interested parties to make relevant health outcome/pharmacoeconomic information more accessible to the drug therapy decision makers in a format that is "user friendly."     

光学活性的α-甲基丁酰基间苯三酚类化合物绝对构型与旋光方向的关系及其合成

合成了14个新化合物,其中有12个是(S)-(+)-α-甲基丁酰基间苯三酚类化合物。通过对新化合物旋光资料的研究和分析,找到了它们绝对构型与旋光方向的关系。该规律在测定光学活性的α-甲基丁酰基间苯三酚类化合物的绝对构型和开发研究该类药物上,均具有一定的实际应用价值。     

大丁草中抗菌活性成分的研究Ⅳ

从秋季采收的菊科植物大丁草Gerbera anandria(L.)Sch Bip.全草中共分出十三种成分。本文报道其中三个新化合物的结构鉴定.它们分别是3,8-dihydroxy-4-methoxy-coumarin(ⅪⅩ),3,8-dihydroxy-4-methoxy-2-oxo-2 H-1-benzopyran-5-carboxylic acid(ⅩⅦ),和5,8-dihydroxy-7-(4-hydroxy-5-methyl-coumarin-3-)-coumarin(ⅩⅪ)。     

Total radical trapping antioxidant potential (TRAP) and exercise

The relationship between physical activity, physical fitness and total radical trapping antioxidant potential (TRAP) was examined in the Northern Ireland Health and Activity Survey. This was a cross-sectional population study (n = 1600) using a two-stage probability sample of the population. TRAP was calculated using the sum of the individual serum antioxidant concentrations (urate, protein thiols, ascorbate, alpha tocopherol and bilirubin) multiplied by their respective stoichiometric values. Physical fitness was determined by estimation of VO2max by extrapolation from submaximal oxygen uptake, and physical activity was recorded by computer-assisted interview. Mean serum TRAP concentrations were significantly higher in males (653 +/- 8.2 mumol/l, mean +/- SEM) compared to females (564 +/- 8.0 mumol/l) (p < 0.0001). Both male and female smokers had significantly lower TRAP values than non-smokers (males p < 0.0001, females p = 0.02). In females, there was a positive relationship of TRAP with age (p < 0.001) and body mass index (p < 0.001) but a negative relationship with physical fitness (p < 0.05). The known beneficial effects of exercise and activity do not appear to be directly mediated through increased antioxidant status.      

The Croonian lectures of 1917: a McGill pathologist confronts the biologists of England

John George Adami (1862-1926) qualified in medicine at Manchester and in 1892 was appointed professor of pathology at McGill University. At the invitation of the Royal College of Physicians (in London) he delivered the Croonian Lectures in 1917. He chose the title 'Adaptation and disease; the contribution of medical research to the study of evolution'. Adami believed that medical work had brought to light important facts about heredity that had not been communicated adequately to biological scientists. He used the lectures to describe this work, placing particular emphasis on his contention that acquired characters are inherited. At this time the medical audience at Adami's lectures would have been generally sympathetic to the idea that acquired characters can be inherited, though many leading British biologists were not sympathetic. Adami hoped that a concise review of the medical findings would persuade the biologists to his point of view or at least would be the starting point for a serious discussion of his evidence. However, the biologists were not persuaded and, although there were acrimonious personal exchanges, there was no scientific debate.     

Vaccine adverse event text mining system for extracting features from vaccine safety reports

Objective

To develop and evaluate a text mining system for extracting key clinical features from vaccine adverse event reporting system (VAERS) narratives to aid in the automated review of adverse event reports.

Design

Based upon clinical significance to VAERS reviewing physicians, we defined the primary (diagnosis and cause of death) and secondary features (eg, symptoms) for extraction. We built a novel vaccine adverse event text mining (VaeTM) system based on a semantic text mining strategy. The performance of VaeTM was evaluated using a total of 300 VAERS reports in three sequential evaluations of 100 reports each. Moreover, we evaluated the VaeTM contribution to case classification; an information retrieval-based approach was used for the identification of anaphylaxis cases in a set of reports and was compared with two other methods: a dedicated text classifier and an online tool.

Measurements

The performance metrics of VaeTM were text mining metrics: recall, precision and F-measure. We also conducted a qualitative difference analysis and calculated sensitivity and specificity for classification of anaphylaxis cases based on the above three approaches.

Results

VaeTM performed best in extracting diagnosis, second level diagnosis, drug, vaccine, and lot number features (lenient F-measure in the third evaluation: 0.897, 0.817, 0.858, 0.874, and 0.914, respectively). In terms of case classification, high sensitivity was achieved (83.1%); this was equal and better compared to the text classifier (83.1%) and the online tool (40.7%), respectively.

Conclusion

Our VaeTM implementation of a semantic text mining strategy shows promise in providing accurate and efficient extraction of key features from VAERS narratives.