• 제목/요약/키워드: Drug information

검색결과 1,072건 처리시간 0.022초

Relationships between genetic polymorphisms and transcriptional profiles for outcome prediction in anticancer agent treatment

  • Paik, Hyo-Jung;Lee, Eun-Jung;Lee, Do-Heon
    • BMB Reports
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    • 제43권12호
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    • pp.836-841
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    • 2010
  • In the era of personal genomics, predicting the individual response to drug-treatment is a challenge of biomedical research. The aim of this study was to validate whether interaction information between genetic and transcriptional signatures are promising features to predict a drug response. Because drug resistance/susceptibilities result from the complex associations of genetic and transcriptional activities, we predicted the inter-relationships between genetic and transcriptional signatures. With this concept, captured genetic polymorphisms and transcriptional profiles were prepared in cancer samples. By splitting ninety-nine samples into a trial set (n = 30) and a test set (n = 69), the outperformance of relationship-focused model (0.84 of area under the curve in trial set, P = $2.90{\times}10^{-4}$) was presented in the trial set and validated in the test set, respectively. The prediction results of modeling show that considering the relationships between genetic and transcriptional features is an effective approach to determine outcome predictions of drug-treatment.

Platform Technologies for Research on the G Protein Coupled Receptor: Applications to Drug Discovery Research

  • Lee, Sung-Hou
    • Biomolecules & Therapeutics
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    • 제19권1호
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    • pp.1-8
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    • 2011
  • G-protein coupled receptors (GPCRs) constitute an important class of drug targets and are involved in every aspect of human physiology including sleep regulation, blood pressure, mood, food intake, perception of pain, control of cancer growth, and immune response. Radiometric assays have been the classic method used during the search for potential therapeutics acting at various GPCRs for most GPCR-based drug discovery research programs. An increasing number of diverse small molecules, together with novel GPCR targets identified from genomics efforts, necessitates the use of high-throughput assays with a good sensitivity and specificity. Currently, a wide array of high-throughput tools for research on GPCRs is available and can be used to study receptor-ligand interaction, receptor driven functional response, receptor-receptor interaction,and receptor internalization. Many of the assay technologies are based on luminescence or fluorescence and can be easily applied in cell based models to reduce gaps between in vitro and in vivo studies for drug discovery processes. Especially, cell based models for GPCR can be efficiently employed to deconvolute the integrated information concerning the ligand-receptor-function axis obtained from label-free detection technology. This review covers various platform technologies used for the research of GPCRs, concentrating on the principal, non-radiometric homogeneous assay technologies. As current technology is rapidly advancing, the combination of probe chemistry, optical instruments, and GPCR biology will provide us with many new technologies to apply in the future.

자가투약의 영향 요인 (Factors Affecting Self-Medication)

  • 양진선;이기효
    • 보건행정학회지
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    • 제6권2호
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    • pp.149-189
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    • 1996
  • The aims of this study were to find out present situation of self-medication, and to explicate the factors affecting self-medication propensity. To explicate empirically the factors affecting self-medication propensity, a model containing five groups of determining factors such as attitudinal, behavioral, knowled해, and need of health care factors, and demographic factors were developed. Data were collected from 647 residents in Pusan and Kyungnam using the self-administered questionnaire. The major reslts obtained were as follows: First, self-medication was 32% of all utilization of pharmacy. The drugs used for self-medication most commonly were analgesics(16.2%), followed by antacids and stomachics(14.2%), dermatologic preparations(13.1%), tonics and drinks (12.6%). Second, the sources from which people obtained drug information at self-medication were label of the container(50.8%), pharmacist(32.4%), self-decision or lay person(16.8%). The experience of side effect was 10.6% of all self-medication and how people cope with was withdrawal(59.0%), consultation by pharmacist or doctor(35.9%). Third, the results of ANOVA showed a statistically significant relationship between self-medication propensity and 3 demograpic factors, such as sex(p<0.10), age(p<0.10) and job(p<0.05). Forth, the results of multiple regression analysis showed a statistically significant positive relationship betwee self-medication propensity and satisfaction of previous self-medication, knowledge of drug, drug dependency, the frequency of doctor visiting, confidence in drug advertisement, tendency toward self-treatment of the family, and job. And it showed negative relationship between self-medication propensity and confidence in the medical profession, and health behavior. The model explained 29.5% of the variance in self-medication(p<0.001).

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우리나라 제약기업의 의약품 허가 및 특허출원 관련요인 분석 (Factors Associated with Drug Approvals and Patent Issues of the Korean Pharmaceutical Firms)

  • 문계주;이진이
    • 약학회지
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    • 제56권1호
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    • pp.60-65
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    • 2012
  • This study examines factors associated with drug approvals and patent issues of the Korean pharmaceutical firms. The 22 firms were selected based on 2006 year's publicly noticed sales amount. Number of approved drugs was identified through Korea Food and Drug Administration and the information regarding the patents that each firm has issued during the year 2000~2006 was collected from the Korea Patent Office. The number of approved drugs has increased annually, especially after the introduction of substance patent system in 1987 and in 2000 again with the policy change into the separation of drug prescribing and dispensing practice. The number of initial approval of NCEs as well as the number of patents per firm decreased during the year 2000~2006. The 12 firms with larger revenue occupied more than 80% of the patents being issued. There was a positive relationship between share of prescription drugs out of approved drugs and the average number of patents issued. However, number of approved drugs did not show positive association with the number of patents issued per firm. Therefore, the study results imply that firms need to invest more in increasing number of approvals for their specific prescription drugs in order to achieve a good performance in the future.

이온토포레시스를 이용한 케토프로펜의 경피전달 (Iontophoretic Transport of Ketoprofen)

  • 김정애;오승열
    • Journal of Pharmaceutical Investigation
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    • 제34권4호
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    • pp.275-281
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    • 2004
  • We have studied the effect of polarity, current density, current duration, crosslinking density, swelling ratio, and permeation enhancers on the transdermal flux of ketoprofen from acrylamide hydrogel. Hydrogel was prepared by free radical crosslinking polymerization of acrylamide. Drug loading was made just before transport experiment by soaking the hydrogel in solution containing drug. In vitro flux study using hairless mouse skin was performed at $36.5^{\circ}C$ using side-by-side diffusion cell, and the drug was analysed using HPLC/UV system. The result showed that, compared to passive flux, the total amount of drug transported increased about 18 folds by the application of $0.4\;mA/cm^2$ cathodal current. Anodal delivery with same current density also increased the total amount of drug transported about 13 folds. It seemed that the increase in flux was due to the electrorepulsion and the increase in passive permeability of the skin by the current application. Flux increased as current density, the duration of current application and loading amount (swelling duration) increased. As the cross linking density of the hydrogel increased, flux clearly decreased. The effect of hydrophilic enhancers (urea, N-methyl pyrrolidone, Tween 20) and some hydrophobic enhancers (propylene glycol monolaurate and isopropyl myristate) was minimal. However, about 3 folds increase in flux was observed when 5% oleic acid was used. Overall, these results provide some useful information on the design of an optimized iontophoretic delivery system of ketoprofen.

Smart syringe pumps for drug infusion during dental intravenous sedation

  • Seo, Kwang-Suk;Lee, Kiyoung
    • Journal of Dental Anesthesia and Pain Medicine
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    • 제16권3호
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    • pp.165-173
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    • 2016
  • Dentists often sedate patients in order to reduce their dental phobia and stress during dental treatment. Sedatives are administered through various routes such as oral, inhalation, and intravenous routes. Intravenous administration has the advantage of rapid onset of action, predictable duration of action, and easy titration. Typically, midazolam, propofol or dexmedetomidine are used as intravenous sedatives. Administration of these sedatives via infusion by using a syringe pump is more effective and successful than infusing them as a bolus. However, during intravenous infusion of sedatives or opioids using a syringe pump, fatal accidents may occur due to the clinician's carelessness. To prevent such risks, smart syringe pumps have been introduced clinically. They allow clinicians to perform effective sedation by using a computer to control the dose of the drug being infused. To ensure patient safety, various alarm features along with a drug library, which provides drug information and prevents excessive infusion by limiting the dose, have been added to smart pumps. In addition, programmed infusion systems and target-controlled infusion systems have also been developed to enable effective administration of sedatives. Patient-controlled infusion, which allows a patient to control his/her level of sedation through self-infusion, has also been developed. Safer and more successful sedation may be achieved by fully utilizing these new features of the smart pump.

Reducing Veterinary Drug Residues in Animal Products: A Review

  • Rana, Md Shohel;Lee, Seung Yun;Kang, Hae Jin;Hur, Sun Jin
    • 한국축산식품학회지
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    • 제39권5호
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    • pp.687-703
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    • 2019
  • A survey we conducted suggests that the ingestion of veterinary drug residues in edible animal parts constitutes a potential health hazard for its consumers, including, specifically, the possibility of developing multidrug resistance, carcinogenicity, and disruption of intestinal normal microflora. The survey results indicated that antibiotics, parasitic drugs, anticoccidial, or nonsteroidal anti-inflammatory drugs (NSAIDs) are broadly used, and this use in livestock is associated with the appearance of residues in various animal products such as milk, meat, and eggs. We observed that different cooking procedures, heating temperatures, storage times, fermentation, and pH have the potential to decrease drug residues in animal products. Several studies have reported the use of thermal treatments and sterilization to decrease the quantity of antibiotics such as tetracycline, oxytetracycline, macrolides, and sulfonamides, in animal products. Fermentation treatments also decreased levels of penicillin and pesticides such as dimethoate, malathion, Dichlorodiphenyldichloroethylene, and lindane. pH, known to influence decreases in cloxacillin and oxacillin levels, reportedly enhanced the dissolution of antimicrobial drug residues. Pressure cooking also reduced aldrin, dieldrin, and endosulfan in animal products. Therefore, this review provides updated information on the control of drug residues in animal products, which is of significance to veterinarians, livestock producers, and consumer health.

Tyrosine Kinase 억제제와의 약물 상호작용이 약물 혈중농도 변화에 따라 부작용 발생에 미치는 영향: 메타분석 연구 (The Impact of Drug Interactions with Tyrosine Kinase Inhibitors on Adverse Event Development based on the changes of drug concentration level: Meta-analysis)

  • 황진아;이희영
    • 한국임상약학회지
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    • 제34권1호
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    • pp.71-78
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    • 2024
  • Background: Oral cancer drugs, particularly tyrosine kinase inhibitors (TKIs), are increasingly popular due to their convenience. However, they pose challenges like drug interactions, especially with medications like azole antifungals. While the FDA provides some guidance, more detailed information is needed to manage these interactions effectively. A meta-analysis was conducted to understand the impact of interactions between TKIs and azole antifungals on adverse events during clinical studies. Methods: A meta-analysis followed PRISMA guidelines. Data from PubMed, EMBASE, and references were searched until November 30, 2021. Inclusion criteria encompassed studies on TKI-antifungal interactions in English. Study selection and quality assessment were conducted by two independent investigators. Results: Out of 158 articles, 11 were selected for analysis. Combination therapy showed a slight increase in adverse events but was not statistically significant (OR 1.02, 95% CI 0.49-2.13, p=0.95). AUC and Cmax fold changes did not significantly impact adverse event development. Both itraconazole and ketoconazole showed no significant difference in adverse event development compared to TKI alone. Conclusions: Study finds TKI-DDI not significantly linked to AE increase; azole antifungal types not related to AE. Future DDI research crucial for drug development.

거시경제요인이 보건의료산업 주식시장에 미치는 영향에 관한 연구 (A Study on the Impact of Macroeconomic Factors in the Health Care Industry Stock Markets)

  • 이상구
    • 경영과정보연구
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    • 제34권4호
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    • pp.67-81
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    • 2015
  • 본 연구의 목적은 보건의료산업 주식 시장에 대해 거시경제변수에 대한 요인이 미치는 영향을 알아보고자 한다. 첫째, 의약품지수는 국공채금리와 환율을 원인변수로 하며 콜금리변수와는 상호영향 관계를 가진다. 즉 금리와 환율의 변화는 의약품산업에 영향을 미치는 변수로서 주의해야 한다는 것이다. 둘째, 의료기기지수는 콜금리, 국공채금리, 환율에 대해 상호 원인변수로 작용하며 경상수지변수를 원인변수로 한다. 즉 의료기기산업에 대해 금리와 환율 그리고 경상수지의 변화가 영향을 미칠 수 있다는 것이다. 셋째, 의약품 지수에 영향을 미치는 변수의 관계를 추가적으로 분석하면 콜금리와 환율은 음(-)의 관계이며 국공채금리와는 양(+)의 관계를 가진다. 의료기기 지수에 영향을 미치는 변수의 관계를 분석하면 환율과는 음(-)의 관계이며 국공채금리와는 양(+)의 관계를 가진다.

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GEDA: New Knowledge Base of Gene Expression in Drug Addiction

  • Suh, Young-Ju;Yang, Moon-Hee;Yoon, Suk-Joon;Park, Jong-Hoon
    • BMB Reports
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    • 제39권4호
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    • pp.441-447
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    • 2006
  • Abuse of drugs can elicit compulsive drug seeking behaviors upon repeated administration, and ultimately leads to the phenomenon of addiction. We developed a procedure for the standardization of microarray gene expression data of rat brain in drug addiction and stored them in a single integrated database system, focusing on more effective data processing and interpretation. Another characteristic of the present database is that it has a systematic flexibility for statistical analysis and linking with other databases. Basically, we adopt an intelligent SQL querying system, as the foundation of our DB, in order to set up an interactive module which can automatically read the raw gene expression data in the standardized format. We maximize the usability of this DB, helping users study significant gene expression and identify biological function of the genes through integrated up-to-date gene information such as GO annotation and metabolic pathway. For collecting the latest information of selected gene from the database, we also set up the local BLAST search engine and non-redundant sequence database updated by NCBI server on a daily basis. We find that the present database is a useful query interface and data-mining tool, specifically for finding out the genes related to drug addiction. We apply this system to the identification and characterization of methamphetamine-induced genes' behavior in rat brain.