Résumé
Background@#Bovine tuberculosis (TB) is caused by Mycobacterium bovis, a well-known cause of zoonotic tuberculosis in cattle and deer, and has been investigated in many physiological and molecular studies. However, detailed genome-level studies of M. bovis have not been performed in Korea. @*Objectives@#To survey whole genome-wide single-nucleotide polymorphism (SNP) variants in Korean M. bovis field isolates and to define M. bovis groups in Korea by comparing SNP typing with spoligotyping and variable number tandem repeat typing. @*Methods@#A total of 46 M. bovis field isolates, isolated from laryngopharyngeal lymph nodes and lungs of Korean cattle, wild boar, and Korean water deer, were used to identify SNPs by performing whole-genome sequencing. SNP sites were confirmed via polymerase chain reaction using 87 primer pairs. @*Results@#We identified 34 SNP sites with different frequencies across M. bovis isolates, and performed SNP typing and epidemiological analysis, which divided the 46 field isolates into 16 subtypes. @*Conclusions@#Through SNP analysis, detailed differences in samples with identical spoligotypes could be detected. SNP analysis is, therefore, a useful epidemiological tracing tool that could enable better management of bovine TB, thus preventing further outbreaks and reducing the impact of this disease.
Résumé
Background@#Bovine tuberculosis (TB) is caused by Mycobacterium bovis, a well-known cause of zoonotic tuberculosis in cattle and deer, and has been investigated in many physiological and molecular studies. However, detailed genome-level studies of M. bovis have not been performed in Korea. @*Objectives@#To survey whole genome-wide single-nucleotide polymorphism (SNP) variants in Korean M. bovis field isolates and to define M. bovis groups in Korea by comparing SNP typing with spoligotyping and variable number tandem repeat typing. @*Methods@#A total of 46 M. bovis field isolates, isolated from laryngopharyngeal lymph nodes and lungs of Korean cattle, wild boar, and Korean water deer, were used to identify SNPs by performing whole-genome sequencing. SNP sites were confirmed via polymerase chain reaction using 87 primer pairs. @*Results@#We identified 34 SNP sites with different frequencies across M. bovis isolates, and performed SNP typing and epidemiological analysis, which divided the 46 field isolates into 16 subtypes. @*Conclusions@#Through SNP analysis, detailed differences in samples with identical spoligotypes could be detected. SNP analysis is, therefore, a useful epidemiological tracing tool that could enable better management of bovine TB, thus preventing further outbreaks and reducing the impact of this disease.
Résumé
BACKGROUND/AIMS: Transient elastography as performed using the Fibroscan(R) is a useful noninvasive method for evaluating hepatic fibrosis. However, recent studies have found that liver stiffness measurement (LSM) values are inappropriately elevated in acute hepatitis or in the acute flare state of chronic hepatitis, suggesting that the LSM value obtained by the Fibroscan(R) is not a reliable marker for fibrosis. We retrospectively evaluated the clinical factors influencing the LSM value obtained using transient elastography as performed using the Fibroscan(R) in patients with chronic liver disease. METHODS: A total of 298 patients who were followed in Kungpook National University Hospital from November 2007 to May 2008 due to previously established liver cirrhosis or chronic liver disease were investigated using the Fibroscan(R), laboratory test, ultrasound, and/or abdominal computed tomography. RESULTS: The 298 patients were aged 47.8+/-12.9 years (mean+/-SD). The cut-off value for a diagnosis of liver cirrhosis was 12.5 kPa (as used in previous studies). Thirty-six patients (15%) and 202 patients (85%) with chronic liver disease without clinical manifestation of cirrhosis had LSMs of >12.5 kPa and <12.5 kPa, respectively. Multivariate analysis revealed that LSM values were unusually increased in patients with chronic liver disease who were older (P=0.007) or who had increased gamma gultamyltranspetidase (GGT) (P=0.022), decreased albumin (P=0.015), or increased total bilirubin (P=0.009). CONCLUSIONS: This study reveals that age, GGT, and albumin are clinical factors influencing LSM values. This reinforces the need to interpret LSM values in the context of a defined diagnosis, biochemical data, radiologic examination, and other clinical findings.