据WHO推荐的标准治疗方案,初治结核病患者2个月的强化期采用利福平(rifampin,RIF)+异烟肼(isoniazid,INH)+吡嗪酰胺(pyrazinamide,PZA)+乙胺丁醇(ethambutol,EMB)的四联法则进行治疗。治疗药物监测(therapeutic drug monitoring,TDM)和...据WHO推荐的标准治疗方案,初治结核病患者2个月的强化期采用利福平(rifampin,RIF)+异烟肼(isoniazid,INH)+吡嗪酰胺(pyrazinamide,PZA)+乙胺丁醇(ethambutol,EMB)的四联法则进行治疗。治疗药物监测(therapeutic drug monitoring,TDM)和药物代谢酶基因多态性检测可减少药物不良反应,提高患者依从性。本文对TDM和药物基因检测在“四联”抗结核药物的临床治疗中的作用予以综述,优化治疗、增加疗效,降低药物不良反应。展开更多
Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembra...Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembrane protein databases. These databases are acquired from well-known databases such as NCBI or Swiss-Prot as template, and then collect all possible transmembrane protein by using BLAST or physical character. After collect these databases, the authors will aim at each nucleotide sequences to design the probes of oligonucleotide microarray, which can detect the high express transmembrane proteins very efficiently. Finally, the authors can accelerate the anti-cancer drug discovery by using these databases. Result： This study constructed a web service, the Transmembrane Protein Database, to researchers that are interested in or need to oligonucleotide microarray probe design for detecting potential targets of antibody drug. With user friendly web based windows containing each necessary selections, users can easily choose the parameters and get the suitable probe design suggestions. Conclusion： Transmembrane protein database is very important and powerful in detecting cancers or other human disease. By using this database, the authors offer a good strategy in transmembrane protein research as well.展开更多
The aim of this paper is to detect, prevent and resolve DRP （drug-related problems） and NOM （negative outcomes associated with medication） in hospitalized patients with DM2 （type 2 diabetes） with HTN （hypertens...The aim of this paper is to detect, prevent and resolve DRP （drug-related problems） and NOM （negative outcomes associated with medication） in hospitalized patients with DM2 （type 2 diabetes） with HTN （hypertension） in a tertiary care clinic. Descriptive cross-sectional interventional study is used. DTM （drug therapy monitoring） was conducted in 73 patients using data obtained from clinical histories and interviews. NOM were detected based on symptoms and laboratory test results. The statistical significance was 0.05. It can be found that 23 DRP were detected, primarily in the category ＂likelihood of adverse effects＂ （30.43%） causing NOM in the ＂non-quantitative safety problem＂ category. The NOM detected were related to safety （62%）, effectiveness （24.5%） and necessity （13.5%）. Of the 68.57% of pharmacist interventions accepted, 48.57% were resolved and 20% were not resolved. A simple linear correlation （r = -0.34） analysis indicated a weak association between patient age and severity ofNOM. DTM made it＇possible to detect suspected DRP and NOM, which were then prevented or resolved, improving the control of HTN and DM2 and helping ensure better drug therapy outcomes for patients.展开更多
文摘据WHO推荐的标准治疗方案,初治结核病患者2个月的强化期采用利福平(rifampin,RIF)+异烟肼(isoniazid,INH)+吡嗪酰胺(pyrazinamide,PZA)+乙胺丁醇(ethambutol,EMB)的四联法则进行治疗。治疗药物监测(therapeutic drug monitoring,TDM)和药物代谢酶基因多态性检测可减少药物不良反应,提高患者依从性。本文对TDM和药物基因检测在“四联”抗结核药物的临床治疗中的作用予以综述,优化治疗、增加疗效,降低药物不良反应。
文摘Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembrane protein databases. These databases are acquired from well-known databases such as NCBI or Swiss-Prot as template, and then collect all possible transmembrane protein by using BLAST or physical character. After collect these databases, the authors will aim at each nucleotide sequences to design the probes of oligonucleotide microarray, which can detect the high express transmembrane proteins very efficiently. Finally, the authors can accelerate the anti-cancer drug discovery by using these databases. Result： This study constructed a web service, the Transmembrane Protein Database, to researchers that are interested in or need to oligonucleotide microarray probe design for detecting potential targets of antibody drug. With user friendly web based windows containing each necessary selections, users can easily choose the parameters and get the suitable probe design suggestions. Conclusion： Transmembrane protein database is very important and powerful in detecting cancers or other human disease. By using this database, the authors offer a good strategy in transmembrane protein research as well.
文摘The aim of this paper is to detect, prevent and resolve DRP （drug-related problems） and NOM （negative outcomes associated with medication） in hospitalized patients with DM2 （type 2 diabetes） with HTN （hypertension） in a tertiary care clinic. Descriptive cross-sectional interventional study is used. DTM （drug therapy monitoring） was conducted in 73 patients using data obtained from clinical histories and interviews. NOM were detected based on symptoms and laboratory test results. The statistical significance was 0.05. It can be found that 23 DRP were detected, primarily in the category ＂likelihood of adverse effects＂ （30.43%） causing NOM in the ＂non-quantitative safety problem＂ category. The NOM detected were related to safety （62%）, effectiveness （24.5%） and necessity （13.5%）. Of the 68.57% of pharmacist interventions accepted, 48.57% were resolved and 20% were not resolved. A simple linear correlation （r = -0.34） analysis indicated a weak association between patient age and severity ofNOM. DTM made it＇possible to detect suspected DRP and NOM, which were then prevented or resolved, improving the control of HTN and DM2 and helping ensure better drug therapy outcomes for patients.
