• 대한수의학회지
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• 제62권3호
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• pp.24.1-24.7
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• 2022

Incidences of major feline viral diseases provide basic information for preventing viral disease in cats. Despite the growing interest in feline viral diseases, sero-surveillances have been lacking. In this study, we analyzed the diagnoses of feline viral diseases and conducted a sero surveillance of feline panleukopenia virus (FPV), feline calicivirus (FCV), feline herpesvirus-1 (FHV-1), and feline infectious peritonitis virus (FIPV) in Korean cats. Of the 204 confirmed cases since 2015, the numbers of diagnoses for FPV, FIPV, FCV, feline influenza virus, and FHV-1 were 156, 32, 12, 3, and 1 case, respectively. In total, 200 sera, collected between 2019 and 2021, were screened for the presence of antibodies against FPV, 2 FCVs, FHV-1, and FIPV using a hemagglutination inhibition test and a virus-neutralizing assay (VNA). The overall seropositive rates in cats tested for FPV, the 2 FCVs, FHV-1, and FIPV were 92.5%. 42.0%, 37.0%, 52.0%, and 14.0%, respectively. A low correlation (r = 0.466) was detected between the VNA titers of 2 FCV strains. The highest incidence and seropositive rate of FPV reveal that FPV is circulating in Korean cats. The low r-value between 2 FCVs suggests that a new feline vaccine containing the 2 kinds of FCVs is required.

• 한국동물위생학회지
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• 제40권3호
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• pp.187-192
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• 2017

In this report, fifteen monoclonal antibodies (MAbs) against an avian influenza virus (H9N2 subtype) were newly produced and characterized. These MAbs proved to react to the epitopes of nucleocapsid protein (NP), hemagglutinin (HA), neuraminidase (NA) and non-structural protein 1 (NS1) of Korean H9N2 strain, respectively. Two HA-specific MAbs showed the ability to inhibit the hemagglutination activity of H9N2 subtype avian influenza virus when tested by hemagglutination inhibition (HI) assay. All MAbs did not cross-react with other avian-origin viruses (Newcastle disease virus, infectious bursal disease virus, infectious bronchitis virus and avian rotavirus) by immunofluorescence test or enzyme-linked immunosorbent assay. The MAbs produced in this study could be useful as the materials for diagnostics and therapeutics against Korean-lineage H9N2 virus infections.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권7호
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• pp.2414-2433
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• 2021

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

• 한국미생물학회:학술대회논문집
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• 한국미생물학회 2003년도 International Meeting of the Microbiological Society of Korea
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• pp.83-86
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• 2003

Major advances in positive-sense RNA virus research have been facilitated by the development of reverse genetics systems. These systems consist of an infectious cDNA clone that encompasses the genome of the virus in question. This clone is then used as a template for the subsequent synthesis of infectious RNA for the generation of synthetic viruses. However, the construction of infectious cDNA for the Japanese encephalitis virus (JEV) has been repeatedly thwarted by the instability of its cDNA. As JEV is an important human pathogen that causes permanent neuropsychiatric sequelae and even fatal disease, a reliable reverse genetics system for this virus is highly desirable. The availability of this tool would greatly and the development of effective vaccines as well as facilitate studies into the basic biology of the virus, including the molecular mechanisms of viral replication, neurovirulence, and pathogenesis. We have successfully constructed a genetically stable infectious JEV cDNA containing full-length viral RNA genome. Synthetic RNA transcripts generated in vitro from the cDNA were highly infectious upon transfection into susceptible cells, and the cDNA remained stable after it had been propagated in E. coli for 180 generations. Using this infectious JEV cDNA, we have successfully expressed a variety of reporter genes from the full-length genomic and various subgenomic RNAs in vitro transcribed from functional JEV cDNAS. In summary, we have developed a reverse genetics system for JEV that will greatly facilitate the research on this virus in a variety of different fields. It will also be useful as a heterologous gene expression vector and aid the development of a vaccine against JEV.

• 한국동물위생학회지
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• 제41권2호
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• pp.111-118
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• 2018

This study was carried out to investigate the prevalence of honeybee (Apis mellifera) diseases in Gwangju area. From November 2016 to August 2017, 89 samples were collected from 33 apiculture farms and reverse transcriptase-polymerase chain reaction (RT-PCR), polymerase chain reaction (PCR), and real time PCR were conducted. 14 infectious pathogens, including seven viruses, two bacteria, three fungi, and two parasites, were investigated from random apiculture farms in Gwangju. The percentage of infectious pathogens were as follows: Stonebrood (76.4%), Deformed wing virus (51.7%), Nosema (27.0%) in PCR and RT-PCR. This result indicated that Stonebrood was most prevalent disease in Gwangju area. And we could get similar results from real time PCR. 84.8% of farms have more than two of infectious pathogens. Stonebrood and Deformed wing virus were major diseases in almost all seasons and Black queen cell virus disease was especially prevalent in May.

• Pediatric Infection and Vaccine
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• 제24권3호
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• pp.188-192
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• 2017

호흡기세포융합바이러스는 소아 하기도 감염의 주된 원인으로 대부분의 양호한 경과를 보이지만, 일부에서는 호흡부전과 같은 심한 경과를 보이기도 한다. 이러한 심한 호흡기세포융합바이러스 감염에는 드물지 않게 폐외증상이 동반될 수 있다. 저자들은 기계 환기를 필요로 하는 하기도 감염과 함께 급성 심근염, 전격성 간 기능부전을 보인 심한 호흡기세포융합바이러스 감염을 경험하였기에 문헌고찰과 함께 보고하는 바이다.

• 한국동물위생학회지
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• 제42권4호
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• pp.245-250
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• 2019

Newcastle disease (ND) is an infectious poultry disease that caused high mortality and reduced egg production. NDVs are regularly present in the domestic duck population. And ducks play a possible role in the maintenance and transmission of NDVs. While we were monitoring the Avian Influenza, NDVs were isolated from field samples by accident. So we analysed the biological and genetic characteristics of these viruses. Lentogenic NDVs were isolated from two farms among twenty breeder duck farms. The ages of ducks were 39 weeks old in the 'A' farm and 3~72 weeks old in the 'B' farm. And they were not inoculated with the NDVs vaccine. In the biological characteristics, the both viruses which separated from the farm 'A' and 'B' were thermostable. The amino acid sequence of a site from 112 to 119 in the fusion (F) protein was 'GKQGRLIG' which has monobasic motif in the samples of both farms. And this means the separated NDVs are lentogenic. Phylogenetic analysis was performed by entire nucleotide sequence of F protein. The virus strains from the A farm (MN095239) and the B farm (MN095240) belonged to class II genotype I. Using the analysis of whole F protein nucleic acid sequence, the MN095239 (GenBank) had homology with Ulster strain about 99.95% and the MN095239 (GenBank) had homology with KR/CK/KU_LBM255/09 strain about 99.89%. NDV surveillance is needed to investigate epidemiological relationship of domestic breeder duck isolates in Korea.

• 한국동물위생학회지
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• 제43권2호
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• pp.107-112
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• 2020

Foot-and-mouth disease (FMD) and avian influenza (AI) are highly pathogenic viral disease which affects the livestock industry worldwide. Outbreak of these viruses causes great impact in the livestock industry; thus, disease infected animals were immediately disposed. Burial is the commonly used disposal method for deceased animals. However, there is potential for secondary environmental contamination, as well as the risk that infectious agents persisting in the environment due to the limited environmental controls in livestock burial sites during the decomposition of the carcasses. Therefore, this study aimed to investigate the detection of FMD and AI viruses from animal carcass disposal sites using real-time reverse transcription PCR. Soil samples of more than three years post-burial from livestock carcass disposal sites were collected and processed RNA isolation using a commercial extraction kit. The isolated RNA of the samples was used for the detection of FMDV and AIV using qRT-PCR. Based on the qPCR assay result, no viral particle was detected in the soil samples collected from the animal disposal sites. This indicates that 3 years of burial and their carcass disposal method is efficient for the control or at least reduction of spread infections in the surrounding environment.

• 지능정보연구
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• 제24권4호
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• pp.137-154
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• 2018

조류인플루엔자와 구제역 같은 동물감염병은 거의 매년 발생하며 국가에 막대한 경제적 사회적 손실을 일으키고 있다. 이를 예방하기 위해서 그간 방역당국은 다양한 인적, 물적 노력을 기울였지만 감염병은 지속적으로 발생해 왔다. 최근 빅데이터와 딥러닝 기술을 활용하여 감염병의 예측모델을 개발하고자 하는 시도가 시작되고 있지만, 실제로 활용가능한 모델구축 연구와 사례보고는 활발히 진행되고 있지 않은 실정이다. KT와 과학기술정보통신부는 2014년부터 국가 R&D사업의 일환으로 축산관련 차량의 이동경로를 분석하여 예측하는 빅데이터 사업을 수행하고 있다. 동물감염병 예방을 위하여 연구진은 최초에는 차량이동 데이터를 활용한 회귀분석모델을 기반으로 한 예측모델을 개발하였다. 이후에는 기계학습을 활용하여 좀 더 정확한 예측 모델을 구성하였다. 특히, 2017년 예측모델에서는 시설물에 대한 확산 위험도를 추가하였고 모델링의 하이퍼 파라미터를 다양하게 고려하여 모델의 성능을 높였다. 정오분류표와 ROC 커브를 확인한 결과, 기계 학습 모델보다 2017년 구성된 모형이 우수함을 확인 할 수 있었다. 또한 2017에는 결과에 대한 설명을 추가하여 방역당국의 의사결정을 돕고 이해관계자를 설득할 수 있는 근거를 확보하였다. 본 연구는 빅데이터를 활용하여 동물감염병예방시스템을 구축한 사례연구로 모델주요변수값, 이에따른 실제예측성능결과, 그리고 상세하게 기술된 시스템구축 프로세스는 향후 감염병예방 영역의 지속적인 빅데이터활용 및 분석 모델 개발에 기여할 수 있을 것이다. 또한 본 연구에서 구축한 시스템을 통해 보다 사전적이고 효과적인 방역을 할 수 있을 것으로 기대한다.

• Journal of Microbiology
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• 제42권4호
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• pp.299-304
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• 2004

To investigate the presence of infectious agents in human atherosclerotic arterial tissues. Atherosclerotic plaques were removed from 128 patients undergoing carotid endarterectomy or other bypass proce­dures for occlusive disease, and from twenty normal arterial wall samples, obtained from transplant donors with no history of diabetes, hypertension, smoking, or hyperlipidemia. Using the polymerase chain reaction (PCR) or reverse transcription-PCR, these samples were analyzed for the presence of Chlamydia pneumoniae, cytomegalovirus, enterovirus, adenovirus, herpes simplex viruses types 1 and 2, and Epstein-Barr virus. The amplicons were then sequenced, and phylogenetic analyses were per­formed. Enteroviral RNA was found in 22 of 128 atherosclerotic vascular lesions $(17.2\%),$ and C. pneu­moniae and cytomegalovirus were each found in 2 samples $(1.6\%).$ In contrast, adenovirus, herpes simplex viruses, and Epstein-Barr virus were not identified in any of the atherosclerotic samples. Enterovirus was detected in 6/24 $(25.0\%)$ aortas, 7/33 $(21.2\%)$ carotid arteries, 6/40 $(15.0\%)$ femoral arteries, and 3/31 $(9.7\%)$ radial arteries of patients with chronic renal failure. There were no infectious agents detected in any of the control specimens. Using phylogenetic analysis, the enterovirus isolates were clustered into 3 groups, arranged as echovirus 9 and coxsackieviruses Bl and B3. Enteroviral RNA was detected in $17.2\%$ of atherosclerotic plaques, but was not observed in any of the control spec­imens. This suggests a connection between enteroviral infection and atherosclerosis. These findings dif­fer from those of other studies, which found more frequent incidence of C. pneumoniae and cytomegalovirus infection in atherosclerotic plaques.