To evaluate avian hepatitis E virus (aHEV) as an RNA vaccine platform, open reading frame 2 (ORF2) of aHEV was replaced by heterologous genes, such as enhanced green fluorescent protein (eGFP) and hemagglutinin (HA)-tag, in aHEV infectious cDNA clones. eGFP and HA-tag replicons were expressed in leghorn male hepatoma (LMH) cells. To confirm expression of the heterologous protein, ORF2 was replaced with the antigenic S1 gene of infectious bronchitis virus (IBV). The IBVS1 replicon was expressed in LMH cells. To our knowledge, this is the first investigation showing potential as a RNA vaccine platform using an aHEV. In the future, it may be used in the development of RNA vaccines against various pathogens.

To evaluate avian hepatitis E virus (aHEV) as an RNA vaccine platform, open reading frame 2 (ORF2) of aHEV was replaced by heterologous genes, such as enhanced green fluorescent protein (eGFP) and hemagglutinin (HA)-tag, in aHEV infectious cDNA clones. eGFP and HA-tag replicons were expressed in leghorn male hepatoma (LMH) cells. To confirm expression of the heterologous protein, ORF2 was replaced with the antigenic S1 gene of infectious bronchitis virus (IBV). The IBVS1 replicon was expressed in LMH cells. To our knowledge, this is the first investigation showing potential as a RNA vaccine platform using an aHEV. In the future, it may be used in the development of RNA vaccines against various pathogens.

Sequestosome 1 (SQSTM1, p62), a ubiquitin binding protein, plays a role in cell signaling, oxidative stress, and autophagy. However, its functional role in inflammatory signaling is controversial. Recent studies have shown that p62 is negatively implicated in inflammatory responses. But, the precise molecular mechanisms by which p62 regulates inflammatory responses remain unclear. In this study, we report on a new regulatory role for p62 in TLR4-mediated signaling. p62 overexpression led to the suppression of NF-κB activation and the production of pro-inflammatory cytokines, TNF-α, IL-6, and IL-1β in response to TLR4 stimulation. In contrast, p62(−/−) mouse embryonic fibroblast (MEF) cells exhibited marked enhancement of NF-κB activation and production of pro-inflammatory cytokines by TLR4 stimulation, compared to p62(+/+) MEF cells. Additionally, the TLR4-induced activation of signal transduction was significantly augmented in p62(−/−) MEF cells, indicating that p62 was negatively implicated in TLR4-mediated signaling. Biochemical studies revealed that p62 interacted with the internal domain of evolutionarily conserved signaling intermediate in Toll pathways (ECSIT), which is critical for associating with the TNF receptor associated factor 6 (TRAF6)-ECSIT complex to activate NF-κB in TLR4 signaling. Interestingly, p62-ECSIT interaction inhibited the interaction between TRAF6 and ECSIT and attenuated the ubiquitination of ECSIT. Furthermore, upon LPS challenge, the mortality of p62(−/−) (p62-knockout) mice was markedly enhanced compared to p62(+/+) (p62 wild-type) mice. Taken together, our data demonstrate that p62 negatively regulated TLR4 signaling via functional regulation of the TRAF6-ECSIT complex.
Animals ; Autophagy ; Carrier Proteins ; Cytokines ; Fibroblasts ; Interleukin-6 ; Mice ; Mortality ; Oxidative Stress ; Signal Transduction ; TNF Receptor-Associated Factor 6 ; Toll-Like Receptor 4 ; Ubiquitin ; Ubiquitination

We performed two trials of external quality assessment for Therapeutic Drug Monitoring (TDM) subcommittee of Korean Association of Quality Assurance for Clinical Laboratory (KAQACL) in 2009. The number of participating laboratories were 110, which is similar with that of previous 3 years. Average response rates were 97.8% in both trials, similar to those of previous years. Two kinds of control materials were requested to be tested in each trial so that each institution could find the possible systematic errors. The average drug item responded was 6.2 per institution, which was decreased slightly from 6.5 in recent 5 years. The most common test items were valproic acid, digoxin, carbamazepine, phenytoin, and theophylline which were peformed in more than 63.8% of participating laboratories, followed by phenobarbital, cyclosporine, tacrolimus, vancomycin, lithium, methotrexate, amikacin, gentamicin, acetaminophen, tobramycin, salicylate, free phenytoin, amitryptyline, ethosuximide, and primidone. The widely used TDM analyzers were Abbott AxSym (26.9%), followed by Abbott TDx/TDxFLx (24.8%), Roche Cobas Integra (15.1%), Siemens Diagnostics Viva-E (5.5%), Roche cobas c501 (5.1%), Siemens Diagnostics Dimension (3.4%), and many other analyzers. The inter-laboratory coefficients of variations showed similar tendency comparing with those of the previous years. The number of participating laboratories for drug of abuse (DOA) tests were 19, which was slightly increased compared to that of the previous year. Average DOA items were 3.8~4.2. We found the good performance of participating laboratories for DOA. In conclusion, the TDM and DOA external quality assessment of 2009 showed similar performance comparing with that of the recent 3 years.
Acetaminophen ; Amikacin ; Carbamazepine ; Cyclosporine ; Digoxin ; Drug Monitoring ; Ethosuximide ; Gentamicins ; Korea ; Lithium ; Methotrexate ; Phenobarbital ; Phenytoin ; Primidone ; Tacrolimus ; Theophylline ; Tobramycin ; Valproic Acid ; Vancomycin

BACKGROUND: Maternal serum prenatal quadruple screening includes testing for alpha-fetoprotein (AFP), human chorionic gonadotrophin (hCG), unconjugated estriol (uE3), and dimeric inhibin A (DIA). We evaluated quadruple screening using an automated platform and looked for any ethnic differences in the median values of each marker. METHODS: We measured the concentrations of each quadruple test analyte using the UniCel DxI 800 system (Beckman Coulter, USA) in 788 Korean mid-trimester maternal serum samples and calculated their median values using Benetech software (Benetech, Canada). We also compared the results with those obtained using the Immulite 2000 assay (Siemens Healthcare Diagnostics, USA) or ELISA (DSL, USA) in 442 samples. RESULTS: We obtained mid-trimester median values for each marker. The following are the comparative results for each test using the Immulite 2000 assay or ELISA (x) and the UniCel DxI 800 immunoassay (y): AFP, y=1.10x+0.01, r=0.925; uE3, y=0.28x+0.24, r=0.885; hCG, y=1.22x-3047.8, r=0.944; and DIA, y=0.86x+15.31, r=0.833. Assay results for each of the four markers showed good correlations. However, significant biases necessitated new median calculations of prenatal risk estimates in all four tests. CONCLUSIONS: We established gestational age-specific second-trimester median values for four markers in Korean samples using the UniCel DxI 800 immunoassay system. Despite significant bias, there were good correlations between the results obtained using the UniCel DxI 800 immunoassay and those obtained using the Immulite 2000 assay.
Biological Markers/blood ; Chorionic Gonadotropin/blood ; Enzyme-Linked Immunosorbent Assay ; Estriol/blood ; Female ; Gestational Age ; Humans ; Immunoassay/instrumentation/*methods ; Inhibins/blood ; Pregnancy ; Pregnancy Trimester, Second ; *Prenatal Diagnosis ; Reference Values ; Republic of Korea ; alpha-Fetoproteins/analysis

Two trials of external quality assessment for Therapeutic Drug Monitoring (TDM) subcommittee of Korean Association of Quality Assurance for Clinical Laboratory (KAQACL) were performed in 2008. The number of participating laboratories were 114, which is similar with that of the previous year. Average response rates were 97.8% in both trials slightly lower than that of the previous year. Two kinds of control materials were requested to be tested in each trial so that each laboratory could know the possible systematic error. The average drug item was 6.3 per laboratory, which was decreased slightly from 6.8 in recent 5 years, and the maximum was 18 items. The most common test items were valproic acid, digoxin, carbamazepine, theophylline, phenytoin, and phenobarbital which were peformed in more than 52.1% of participating laboratories, followed by cyclosporine, vancomycin, tacrolimus, lithium, methotrexate, amikacin, tobramycin, gentamycin, acetaminophen, salicylate, free phenytoin, primidone, and amitryptyline. The widely used TDM analyzers were Abbott TDx/TDxFLx (35.3%), followed by Abbott AxSym (26.5%) and Roche Cobas Integra (17.3%), Abbott IMx (3.3%), and Siemens Viva E (3.0%). The inter-laboratory coefficients of variations showed similar tendency comparing with those of the previous years. The number of participating laboratories for drug of abuse tests were 17, which is similar to that of the previous year. Average drug item were 3.7 for the 1st trial. We found the relatively good performance as we got the correct answers for all laboratories except 2 laboratories. In conclusion, the TDM external quality assessment of 2008 showed grossly similar pattern comparing with that of previous year.
Acetaminophen ; Amikacin ; Carbamazepine ; Cyclosporine ; Digoxin ; Drug Monitoring ; Gentamicins ; Korea ; Lithium ; Methotrexate ; Phenobarbital ; Phenytoin ; Primidone ; Tacrolimus ; Theophylline ; Tobramycin ; Valproic Acid ; Vancomycin

Two trials of external quality assessment for Therapeutic Drug Monitoring (TDM) subcommittee of Korean Association of Quality Assurance for Clinical Laboratory (KAQACL) were performed in 2007. Number of participating laboratories were increased to 109, by 5.63% increase comparing with the previous year. Response rates reached 98.7% for both trials slightly lower than that of the previous year. Two kinds of control materials were requested to be tested in each trial so that each institution could know the possible systematic error. In both trials, 20 test items were responded at least from one laboratory. The average drug item was 6.3 per institution, which was decreased slightly from 6.8 in recent 5 years. The most common test items were valproic acid, digoxin, carbamazepine, theophylline, phenytoin, and phenobarbital which were peformed in more than 55% of the participating laboratories, followed by cyclosporine, vancomycin, lithium, tacrolimus, methotrexate, amikacin, gentamicin, salicylate, tobramycin, acetaminophen, primidone, free phenytoin, and amitryptyline. The inter-laboratory coefficients of variations showed simliar tendency comparing with those of the previous years. We started the proficiency test for drug of abuse from 2007 and got the response from 13 and 17 laboratories in the 1st and 2nd trial, respectively. Average drug items were 3.4 for the 2nd trial. We found the relatively good performances as we got the correct answers from all laboratories except 4 for each one mistake. In conclusion, the TDM external quality assessment of 2007 showed grossly similar pattern comparing with those of previous year and drug of abuse proficiency testing showed a relatively good performance.
Acetaminophen ; Amikacin ; Carbamazepine ; Cyclosporine ; Digoxin ; Drug Monitoring ; Gentamicins ; Korea ; Lithium ; Methotrexate ; Phenobarbital ; Phenytoin ; Primidone ; Tacrolimus ; Theophylline ; Tobramycin ; Valproic Acid ; Vancomycin

Two trials of external quality assessment for Therapeutic Drug Monitoring (TDM) subcommittee of Korean Association of Quality Assurance for Clinical Laboratory (KAQACL) were performed in 2007. Number of participating laboratories were increased to 109, by 5.63% increase comparing with the previous year. Response rates reached 98.7% for both trials slightly lower than that of the previous year. Two kinds of control materials were requested to be tested in each trial so that each institution could know the possible systematic error. In both trials, 20 test items were responded at least from one laboratory. The average drug item was 6.3 per institution, which was decreased slightly from 6.8 in recent 5 years. The most common test items were valproic acid, digoxin, carbamazepine, theophylline, phenytoin, and phenobarbital which were peformed in more than 55% of the participating laboratories, followed by cyclosporine, vancomycin, lithium, tacrolimus, methotrexate, amikacin, gentamicin, salicylate, tobramycin, acetaminophen, primidone, free phenytoin, and amitryptyline. The inter-laboratory coefficients of variations showed simliar tendency comparing with those of the previous years. We started the proficiency test for drug of abuse from 2007 and got the response from 13 and 17 laboratories in the 1st and 2nd trial, respectively. Average drug items were 3.4 for the 2nd trial. We found the relatively good performances as we got the correct answers from all laboratories except 4 for each one mistake. In conclusion, the TDM external quality assessment of 2007 showed grossly similar pattern comparing with those of previous year and drug of abuse proficiency testing showed a relatively good performance.
Acetaminophen ; Amikacin ; Carbamazepine ; Cyclosporine ; Digoxin ; Drug Monitoring ; Gentamicins ; Korea ; Lithium ; Methotrexate ; Phenobarbital ; Phenytoin ; Primidone ; Tacrolimus ; Theophylline ; Tobramycin ; Valproic Acid ; Vancomycin

Valproic acid (VPA) is a commonly prescribed anticonvulsant drug for the treatment of various forms of epilepsy. Concomitant administration of VPA and carbapenem antibiotics such as panipenem/ betamipron and meropenem has been reported to decrease the serum level of VPA. We observed seven cases which showed a decrease in serum levels of VPA due to concomitant use of VPA and carbapenem from January 2002 to October 2006 in a 750-bed university hospital, the average decrease of 70.4% was observed. Carbapenem antibiotics administrated concomitantly with VPA were panipenem (1 case), meropenem (3 cases), and imipenem (2 cases), and in one other case imipenem and meropenem were used sequentially. We found the VPA serum levels were significantly decreased with meropenem (n=4) more than with other carbapenem antibiotics (n=4, 89.3% vs. 51.5% decrease, P=0.03). Clinicians should be aware of this potential interaction, pay attention to the failure of seizure control due to decreased serum VPA levels with concomitant use of carbapenem antibiotics, and monitor VPA serum levels for those cases.
Adult ; Aged ; Aged, 80 and over ; Anti-Bacterial Agents/administration & dosage/*therapeutic use ; Anticonvulsants/administration & dosage/*blood/therapeutic use ; Carbapenems/administration & dosage/*therapeutic use ; Drug Interactions ; Drug Therapy, Combination ; Epilepsy/*drug therapy ; Female ; Humans ; Imipenem/therapeutic use ; Male ; Middle Aged ; Thienamycins/therapeutic use ; Valproic Acid/administration & dosage/*blood/therapeutic use

Two trials of external quality assessment for Therapeutic Drug Monitoring (TDM) subcommittee of Korean Association of Quality Assurance for Clinical Pathology (KAQACP) were performed in 2005. The number of participating laboratories were increased to 95, by 6.7% comparing with the previous year. Response rates were 100.0% for both trials just like the two previous years. Two kinds of control materials were requested to be tested in each trial so that each institution could know the possible systematic error. In both trials, 20 test items were responded at least from one laboratory. The average drug item was 6.7 per institution, which was elevated slightly from 6.5 in recent 5 years. The most common test items were digoxin, valproic acid, carbamazepine, theophylline, phenytoin, and phenobarbital which were peformed in more than 65% of participating laboratories, followed by cyclosporine, lithium, vancomycin, tacrolimus, methotrexate, amikacin, gentamycin, tobramycin, salicylate, primidone, acetaminophen, free phenytoin, amitryptyline, and ethosuximide. The most widely used TDM analyzer was Abbott TDx/TDxFLx (41.7%), followed by Abbott AxSym (23.3%), and Roche Cobas Integra (19.2%). The inter-laboratory coefficients of variations were not much improved comparing with previous years. We also determined cyclosporine with reference method using liquid chromatography-tandem mass spectrometry. In conclusion, the TDM external quality assessment of 2005 showed grossly similar pattern comparing with those of previous year with increasing participating laboratories.
Acetaminophen ; Amikacin ; Carbamazepine ; Cyclosporine ; Digoxin ; Drug Monitoring* ; Ethosuximide ; Gentamicins ; Korea* ; Lithium ; Mass Spectrometry ; Methotrexate ; Pathology, Clinical ; Phenobarbital ; Phenytoin ; Primidone ; Tacrolimus ; Theophylline ; Tobramycin ; Valproic Acid ; Vancomycin