Objective: In pharmacy school, most faculty members use generic names when discussing medicine; however, in clinical clerkships, most staff members use brand names. This sometimes leads to poor communication and understanding between the students and medical staff.  The purpose of this study was to clarify the need for a tool to improve communication and understanding in relation to drug information.  Based on the findings of this survey, our secondary aim was to develop and subsequently evaluate such a tool.
Methods: To clarify the need for a self-learning tool, we conducted a questionnaire survey on 58 faculty members who teach courses on drug informatics.  Based on their responses, we then developed a self-learning tool that was subsequently evaluated by a total of 78 undergraduate students.
Results: Most of the faculty agreed concerning the necessity of a self-learning tool for drug information, particularly in regard to the establishment of a more user-friendly system and reduced user fees for students.  The faculty also believed that students should be able to associate the generic drug name with various kinds of information, including its safety, efficacy, and brand name.  All students agreed that the tool was helpful, very easy to use, and could be learned during their commute to school.
Conclusion: Our results suggest that most faculty members support the idea of having a tool capable of promoting a better understanding and grasp of drug information.  Therefore, our self-learning tool should be helpful in promoting increased knowledge concerning drug information for students in clinical clerkships.

Objective: The purpose of this study was to identify existing problems related to the provision of drug information in clinical clerkships.  In addition, we aimed to develop a self-learning tool based on our findings.
Methods: We conducted a questionnaire survey on students who had completed a clinical clerkship between December 2012 and February 2013 concerning the actual status of the provision of drug information.  Based on responses received from 86 students, we then developed an online self-learning tool.  This online tool was subsequently evaluated by the same 86 students.
Results: More than 20% of students surveyed reported never having made inquiries at their clerkship site; therefore, we developed an online self-learning tool for inquiry services in which students were able to learn step-by-step how to analyze, search, evaluate and provide inquiries.  A total of 89% of the students who tried this tool reported being satisfied with its use.
Conclusion: Our results suggest that students in clinical clerkships lack sufficient experience regarding drug information-related inquiries.  Therefore, our online self-learning tool should be helpful in promoting understanding of how to manage such inquiries for students in clinical clerkships.

OBJECTIVEThe aims of this study were to determine the effects of heavy metals such as manganese on nicotinamideN-methyltransferase (EC 2.1.1.1) (NNMT) activity and to consider the possibility of involvement of NNMT activation in the pathogenesis of heavy metal induced Parkinson's disease.

METHODSNNMT activity in supernatants separated from brain, liver and kidney homogenates of 5 elderly male Wistar rats by centrifugation were measured by high performance liquid chromatography system with fluorescence. NNMT activity under the conditon of 0.5 or 5.0 mM Mn(2+), Fe(2+), Cu(2+) or Cd(2+) was compared with control (no metal ion existence).

RESULTSNNMT activities in rat brain, liver and kidneys were significantly decreased by Cu(2+), and those in the liver and kidneys were significantly decreased by Cd(2+). Mn(2+) reduced NNMT activity only in the liver. Fe(2+) had no effect on NNMT activity.

CONCLUSIONSNo metal increased NNMT activity in this study, contrary to our hypothesis. Further study is needed to clarify the reason why the effects of Mn(2+) and Fe(2+) which have a high relevance to Parkinson's disease on NNMT activity differ from those of Cu(2+) and Cd(2+).

  In 2008, Japanese Society of Drug Informatics (JASDI) organized the Future Vision Committee (the Committee) to propose the essential focus of drug informatics.  To explore a future vision about the drug information sciences, it was necessary to collect a variety of opinions widely from researchers.  Therefore, at the 11^th annual meeting of JASDI in July 5-6, 2008, the Committee convened a workshop to extract problems in the researches of drug informatics by using KJ method and evaluated the contents.  The major problems raised were “the field of drug informatics is too broad” and “there is no definition and/or no system of the drug informatics”.  Related problems raised are the shortness of the history and lack of originality in the study.  From different viewpoints, it was also pointed out that the methodology of the research is not well established and no systematic education is provided.  Taken together, major problems in drug informatics are concluded to be the lack of definition and the lack of systematizations, and will be solved to a certain extent by defining the outcome of the researches in drug informatics.

BACKGROUND/AIMS: Changes in lipid profiles in patients infected with hepatitis C virus (HCV) during direct-acting antiviral therapy have been reported in recent years. However, the clinical aspects of disturbed lipid metabolism in chronic HCV infection have not been fully elucidated. METHODS: Dynamic changes in serum total, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) cholesterol and apolipoprotein levels in patients infected with HCV genotype 1b were examined during combination therapy with daclatasvir (DCV) and asunaprevir (ASV). RESULTS: Total, LDL−, and HDL-cholesterol levels increased rapidly and persistently after week 4. Apolipoprotein (apo) A-I, apo B, apo C-II, and apo C-III levels were significantly higher at week 4 than at week 0. In contrast, apo A-II and apo E levels were significantly lower. The differences in LDL− and HDL-cholesterol levels were positively correlated with those of apo B and apo A-I, respectively. Interestingly, in patients with non-sustained virological response, these cholesterol levels decreased rapidly after viral breakthrough or viral relapse. Furthermore, similar changes were observed for apo A-I, apo B and apo C-III levels. CONCLUSIONS: Clearance of HCV using combination therapy with DCV and ASV results in rapid changes in serum lipid profiles, suggesting an influence of HCV infection on disturbed lipid metabolism.
Apolipoprotein A-I ; Apolipoprotein A-II ; Apolipoprotein C-II ; Apolipoprotein C-III ; Apolipoproteins ; Apolipoproteins B ; Apolipoproteins E ; Cholesterol ; Genotype ; Hepacivirus* ; Hepatitis C* ; Hepatitis* ; Humans ; Lipid Metabolism ; Lipoproteins ; Recurrence