No abstract available.
Endothelial Cells

BACKGROUND: Hepatitis B virus (HBV) detected in Korean patients almost belongs to genotype C, which is subdivided into subgenotype C1 (or Cs) and C2 (or Ce). It was recently reported that the risk of hepatocellular carcinoma is different between subgenotype C1 and C2. Thus, we studied the distribution of subgenotypes of HBV in Korean chronic hepatitis B (CHB) patients. METHODS: Specimens of 421 patients, who were diagnosed as CHB and underwent antiviral treatment, were used. After sequence analysis for HBV S gene, subgenotype was identified through phylogenetic analysis. Utilizing the same sequence data, the distribution of serotypes was also investigated. RESULTS: Among 421 patient specimens, genotype C was found in 419 (99.5%) and genotype B in 2 (0.5%). Among the genotype C strains, 417 strains were C2 subgenotype and 2 strains were mixed subgenotypes. However, C2 was evidently found even in the mixed sequences. Serotypes of 419 HBV with genotype C were classified as follows: adr, 385 (91.9%), adw, 22 (5.3%), ayr, 2 (0.4%) and mixed serotype, 10 (2.3%). Serotype of both HBV with genotype B was adw. CONCLUSIONS: It was found that HBV detected in Korean CHB patients under treatment almost all belong to the C2 (Ce) genotype.
Antiviral Agents/therapeutic use ; Blood Specimen Collection ; Genotype ; Hepatitis B virus/*classification/genetics ; Hepatitis B, Chronic/diagnosis/drug therapy/*virology ; Humans ; Korea ; Phylogeny ; Sequence Analysis, DNA ; Serotyping

BACKGROUND: Hepatitis B virus (HBV) DNA quantification is necessary for starting and monitoring of antiviral therapy in patients with chronic hepatitis B. This study was intended to assess the clinical performance of Abbott RealTime HBV Quantification kit (Abbott Laboratories, USA). METHODS: The performance was evaluated in terms of precision, linearity, detection sensitivity, cross-reactivity, and carry-over. A correlation with the Real-Q HBV Quantification kit (BioSewoom Inc., Korea) was also examined using serum samples from 64 patients diagnosed with chronic hepatitis B and underwent lamivudine therapy in Asan Medical Center. We verified the trueness of the system by comparing the outputs with the assigned values of the BBI panel (BBI Diagnostics, USA). RESULTS: Within-run and between-run coefficients of variation (CV) were 3.56-4.71% and 3.03-4.98%, respectively. Linearity was manifested ranging from 53 to 10(9) copies/mL and the detection sensitivity was verified to be 51 copies/mL. None of hepatitis C virus showed cross-reactivity. No cross-contamination occurred when negative and positive samples were alternatively placed in a row. It showed a good correlation with the Real-Q HBV (r2=0.9609) and the test results for the BBI panel were also well agreed to the assigned values (r2=0.9933). CONCLUSIONS: The performance of Abbott RealTime HBV Quantification kit was excellent; thus, it should be widely used in starting and monitoring of antiviral therapy in Korean patients with chronic hepatitis B.
Computer Systems ; DNA, Viral/*blood ; Hepatitis B virus/genetics/*isolation & purification ; Hepatitis B, Chronic/*virology ; Humans ; Polymerase Chain Reaction/*methods ; Reagent Kits, Diagnostic ; Viral Load/*methods

BACKGROUND: We developed and evaluated the utility of a multiplex real-time PCR assay that uses melting curve analysis and allows simultaneous identification of vancomycin-resistant genotypes and clinically relevant enterococci. METHODS: The specificity of the assay was tested using 4 reference strains of vancomycin-resistant enterococci (VRE) and 2 reference strains of vancomycin-susceptible enterococci. Ninety-three clinical isolates of enterococci with different glycopeptide-resistant phenotypes were genotyped and identified using a multiplex real-time PCR assay and melting curve analysis. RESULTS: Representative melting curves were obtained for Enterococcus faecium, Enterococcus faecalis, vanA-containing E. faecium, vanB-containing E. faecalis, Enterococcus gallinarum, and Enterococcus casseliflavus. Phenotypic and genotypic analysis of the isolates revealed same results for 82 enterococcal isolates, while in 4 isolates, the glycopeptide-resistant phenotypes were inconsistent with the glycopeptide-resistant genotypes and in the 4 other isolates, species could not be accurately identified. Three isolates with mixed strains, which were detected by the PCR assay, could not be correctly identified using phenotypic methods. CONCLUSIONS: VRE genotyping and identification of clinically relevant enterococci were rapidly and correctly performed using multiplex real-time PCR assay and melting curve analysis.
Bacterial Proteins/genetics ; Carbon-Oxygen Ligases/genetics ; DNA, Bacterial/genetics ; Enterococcus/genetics/*isolation &purification ; Enterococcus faecalis/genetics/isolation &purification ; Enterococcus faecium/genetics/isolation &purification ; Genotype ; Nucleic Acid Denaturation ; Peptide Synthases/genetics ; Phenotype ; *Polymerase Chain Reaction ; Vancomycin Resistance/*genetics

BACKGROUND: Since the human genome project was completed in 2003, there have been numerous reports on cancer and related markers. This study was aimed to develop a system to extract automatically information regarding the relationship between cancer and tumor markers from biomedical literatures. METHODS: Named entities of tumor markers were recognized by both a dictionary-based method and machine learning technology of the support vector machine. Named entities of cancers were recognized by the MeSH dictionary. RESULTS: Relational and filtering keywords were selected after annotating 160 abstracts from PubMed. Relational information was extracted only when one of the relational keywords was in an appropriate position along the parse tree of a sentence with both tumor marker and disease entities. The performance of the system developed in this study was evaluated with another set of 77 abstracts. With the relational and filtering keyword used in the system, precision was 94.38% and recall was 66.14%, while without the expert knowledge precision was 49.16% and recall was 69.29%. CONCLUSIONS: We developed a system that can extract relational information between a tumor and its markers by incorporating expert knowledge into the system. The system exploiting expert knowledge would serve as a reference when developing another information extraction system in various medical fields.
Abstracting and Indexing as Topic ; Algorithms ; Database Management Systems ; Humans ; *Medical Informatics Computing ; Neoplasms/metabolism ; Programming Languages ; *PubMed ; Software ; *Tumor Markers, Biological

BACKGROUND: Hepatitis B virus (HBV) DNA quantification is important for the management of HBV infection and identification of the development of resistance. The susceptibility to contamination and more variable reproducibility of results with the conventional HBV DNA quantification method have raised the need of a more simple and accurate method for HBV DNA quantification. Real-time quantitative PCR assays recently introduced in the laboratory can meet these needs. In this study, we evaluated the performance of the Real-Q HBV Quantification kit developed in Korea. METHODS: We evaluated the recovery of DNA extraction, the interference of internal control, an analytical sensitivity, specificity, and reproducibility, a clinical specificity, and a reportable range of the Real-Q HBV Quantification kit. The quantification result was also compared to that obtained by the Digene Hybrid-Capture II. RESULTS: The mean percent recovery was 108.6% and there was no interference with the internal control on DNA extraction. None of HIV, hepatitis C virus, or cytomegalovirus showed a cross-reactivity with HBV. This assay detected HBV DNA in a linear range from 10(2) to 10(10) copies/mL, with the detection limit of 56 copies/mL. The assay exhibited a low within-run CV (coefficient of variation) (8.7-11.9%), between-run CV (10.5-14.7%), and between-day CV (13.2-21.4%). No HBV DNA was detected in any of 100 samples without HBV, resulting in a clinical specificity of 100%. The levels of HBV DNA showed a good correlation with those determined with Digene Hybrid-Capture II (R2=0.9827). CONCLUSIONS: The Real-Q HBV Quantification kit showed a good analytical sensitivity, specificity, and high reliability with a broad reportable range. This assay should be clinically useful in managing patients with HBV infection.
Cytomegalovirus ; DNA* ; Hepacivirus ; Hepatitis B virus ; HIV ; Humans ; Korea ; Limit of Detection ; Polymerase Chain Reaction ; Real-Time Polymerase Chain Reaction* ; Reproducibility of Results ; Sensitivity and Specificity

PURPOSE: This study has been conducted to analyze whether the biochemical nutrition indexes might be useful and effective for evaluating the nutrition states of children. METHODS: We evaluated 269 children, aged 3-9 years old, who had visited Gangneung Asan Hospital for elective surgery from January 2006 to December 2007, and examined their anthropometric and preoperative laboratory data with retrospective analysis. The children were classified into underweight, normal weight, overweight, and obese groups according to body mass index (BMI). The biochemical nutrition indexes (total lymphocyte count (TLC), hemoglobin, hematocrit, serum albumin, cholesterol, et al) of each group were then analyzed statistically. RESULTS: None of the groups showed statistically significant differences in TLC. Serum albumin decreased significantly in the underweight group. Red blood cell (RBC) count, hemoglobin, hematocrit, and serum total cholesterol in the obese group were higher than in the normal weight group. None of the groups showed statistically significant increase in mean corpuscular volume or mean corpuscular hemoglobin, and it seems that the increase of hemoglobin and RBC count in the overweight and obese groups is due to the enhancement of erythropoiesis rather than iron metabolism. However, in females, almost all nutrition indexes except albumin were statistically significantly poor. CONCLUSION: Serum albumin, total cholesterol, RBC count, hemoglobin, and hematocrit were useful as nutrition indexes. However, except for albumin, these indexes were significantly poor for females. More control studies are needed to confirm the effectiveness of biochemical indexes for evaluating the nutritional state of children.
Aged ; Body Mass Index ; Child ; Cholesterol ; Erythrocyte Indices ; Erythrocytes ; Erythropoiesis ; Female ; Hematocrit ; Hemoglobins ; Humans ; Iron ; Lymphocyte Count ; Nutrition Assessment ; Overweight ; Retrospective Studies ; Serum Albumin ; Thinness

BACKGROUND: Panel reactive antibody (PRA) is to screen and identify HLA antibody. Majority of antibody specificities in high-PRA are directed against cross reactive group (CREG). Thus, this study was to know the advantage of identifying CREG specificity and whether antibody specificities are changed according to CREG classification. METHODS: HLA class I antibodies were identified from 159 sera from 108 patients in Asan Medical Center, who had shown more than 5% PRA by anti-human globulin (AHG)-complement-dependent cytotoxicity (CDC). Tail analysis-based computer program was developed to identify specificities, applying both Rodey (R-ABC) and Takemoto (T-ABC) classification. The results were also compared with those obtained when without CREG application (ABC). RESULTS: Among 151 cases in which HLA specificities was identified, the frequency of CREG specificity was 22.5% in R-ABC and 27.2% in T-ABC. Eleven cases showed CREG specificities only in one classification. However, the individual antigen specificities in one hand were all included in the CREG identified in the other hand. CREG specificities in samples with PRA >50% (60%) were more frequently identified than those in samples with PRA < or =50% (9%) (in R-ABC, P<0.0001). Without applying CREG to interpretation, specificity was not identified in 9 cases. CONCLUSIONS: Application of CREG enhanced the rate of antibody identification. Antibody specificities of those cases where CREG specificities were different between Rodey and Takemoto classifications were almost the same when compared at the individual antigen level. Therefore, it was thought that it makes no difference to use any one of these two classifications in interpreting PRA.
Alleles ; Antibodies/blood ; *Antibody Specificity ; Cross Reactions ; HLA Antigens/genetics/*immunology ; Histocompatibility Antigens Class I/immunology ; Histocompatibility Testing ; Humans ; Kidney Transplantation ; Reproducibility of Results ; Retrospective Studies

The aims of this study were to summarize results on the association of HLA-DRB1 with rheumatoid arthritis (RA) in Asians and to determine if the shared epitope (SE) hypothesis could explain the meta-analysis results. Among the papers published between January 1987 and July 2006 on RA susceptibility in Asian-Mongoloid populations (Korean, Japanese, Chinese, and Thai), 12 were selected for the metaanalysis. Mongoloid-Asian patients with RA had significantly higher frequencies of HLA-DRB1*0101, *0401, *0410, and *1001 than controls (OR 1.5-2.1, p<0.05 for association). When analyses were restricted to more ethnically homogeneous populations, HLA-DRB1*0405 showed a significant susceptibility to RA in Koreans (OR 5.65, 95% CI 4.32-7.39), whereas the HLA-DRB1*0301, *0403, *0406, *0701, *1301, and *1405 alleles showed protective association with RA (OR 0.32-0.70, p<0.05 for association). In conclusion, it was found that HLA-DRB1 *0101, *0401, *0405, *0410, and *1001 are susceptible, while HLA-DRB1* 0301, *0403, *0406, *0701, *1301, and *1405 are protective in Asian-Mongoloids. All the RA-associated alleles except DRB1*0301 could be explained by the structural model supporting the SE hypothesis that RA susceptibility is determined by the combination of amino acid residues at HLA-DR beta71 and beta74, not by beta71 alone.
*Alleles ; Arthritis, Rheumatoid/*genetics ; Asian Continental Ancestry Group/*genetics ; *Genetic Predisposition to Disease ; HLA-DR Antigens/chemistry/*genetics ; Humans

BACKGROUND: Hepatitis B virus (HBV) is classified into 7 genotypes (A-G) that have distinct geographic distribution. Several studies have suggested that the HBV genotypic differences influence the severity of liver disease and clinical outcomes such that genotype C is associated with more advanced liver diseases and genotype B is associated with the earlier development of hepatocellular carcinoma. With the different genotypes of HBV reported in Shanghai, Taiwan and Japan, wetried to investigate the distribution of the HBV genotype and the utility of HBV genotyping tests in the Korea population. METHODS: A total of 51 HBV DNA positive serum from Korean hepatitis B patients were used for the genotyping. After PCR and sequencing, HBV genotypes were determined by phylogenetic analysis using the NCBI database (www.ncbi.nlm.nih.gov). RESULTS: By phylogenetic analysis in the Pre-S region, all the genotypes of HBV (100%) proved to be C. CONCLUSIONS: All patients in this study had genotype C. This result is consistent with previous studies reporting 96-100% distribution of genotype C in Korea. HBV genotyping in Korea is not informative in predicting individual variation of clinical outcome, so that it is meaningless to genotype HBV in routine laboratory genotyping.
Carcinoma, Hepatocellular ; DNA ; Genotype* ; Hepatitis B ; Hepatitis B virus* ; Hepatitis* ; Humans ; Japan ; Korea ; Liver Diseases ; Polymerase Chain Reaction ; Taiwan