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1.
Mycobiology ; : 86-88, 2021.
Artigo em Inglês | WPRIM | ID: wpr-875322

RESUMO

The monokaryotic strain, Schizophyllum commune strain IUM1114-SS01, was generated from a basidiospore of dikaryotic parental strain IUM1114. It even showed the decolorizing activities for several textile dyes much better than its parental strain. Based on the results of a single-molecule real-time sequencing technology, we present the draft genome of S. commune IUM1114-SS01, comprising 41.1 Mb with GC contents of the genome were 57.44%.Among 13,380 protein-coding genes, 534 genes are carbon hydrate-active enzyme coding genes.

2.
Journal of Veterinary Science ; : e28-2021.
Artigo em Inglês | WPRIM | ID: wpr-901439

RESUMO

An African swine fever (ASF) outbreak in wild boars was first reported on October 2, 2019, in South Korea. Since then, additional cases were reported in South Korea's border areas. We here report the identification of ASF virus (ASFV) DNAs from two out of eight environmental abiotic matter samples collected from areas where ASF-positive wild boar carcasses were found. Comparative genomic investigations suggested that the contaminating ASFV DNAs originated from the wild boar whose carcass had been found near the positive sample sites.This is the first report on the identification of ASF viral material in wild boar habitats.

3.
Journal of Veterinary Science ; : e28-2021.
Artigo em Inglês | WPRIM | ID: wpr-893735

RESUMO

An African swine fever (ASF) outbreak in wild boars was first reported on October 2, 2019, in South Korea. Since then, additional cases were reported in South Korea's border areas. We here report the identification of ASF virus (ASFV) DNAs from two out of eight environmental abiotic matter samples collected from areas where ASF-positive wild boar carcasses were found. Comparative genomic investigations suggested that the contaminating ASFV DNAs originated from the wild boar whose carcass had been found near the positive sample sites.This is the first report on the identification of ASF viral material in wild boar habitats.

4.
Korean Journal of Nephrology ; : 35-44, 2006.
Artigo em Coreano | WPRIM | ID: wpr-89286

RESUMO

BACKGOUND: The progression rate of IgA nephropathy is known to be variable. We tried to draw an equation that can predict the interval till end stage renal disease (ESRD). METHODS: We retrospectively checked the risk factors of the progression such as demographic, clinical, laboratory, and histologic data by using simple linear regression in eighty eight (M:F=53:35) patients with biopsy-proven IgA nephropathy from Oct 1994 to Aug 2004. By multiple linear regression, a semiquantitative equation estimating the rate of progression was developed. We also evaluated whether there is a "point of no return" that progresses to ESRD which was shown by D'Amico ('93) and Scholl ('99) by receiver operating characteristic (ROC) curve analysis. RESULTS: Mean age and follow-up period were 34.1+/-13.6 years and 55.7+/-31.4 months. Among the risk factors, spot urine protein to creatinine ratio and mean arterial pressure during the follow-up period were significantly associated with the rate of progression (p<0.05). A semiquantitative equation estimating the rate of progression using the two factors was developed as follow. (delta)CCr=2.206-(0.128 x PCR(follow-up))-(0.023 x MAP(follow-up)) (MAPfollow-up:mean arterial pressure; regression coefficient=-0.023, PCRfollow-up:spot urine protein/creatinine; regression coefficient=-0.128). By ROC curve analysis, all patients with maximum serum creatinine over 4.1 mg/ dL during follow-up were found to progress to ESRD. CONCLUSION: We conclude that in Korean IgA nephropathy patients we could predict the rate of decline in renal function for individual patients semiquantitatively and we could confirm the existence of a "point of no return" during the course of IgA nephropathy.


Assuntos
Humanos , Pressão Arterial , Creatinina , Seguimentos , Glomerulonefrite por IGA , Imunoglobulina A , Falência Renal Crônica , Modelos Lineares , Estudos Retrospectivos , Fatores de Risco , Curva ROC
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