• Journal of Veterinary Science
• /
• 제22권4호
• /
• pp.43.1-43.10
• /
• 2021

Background: The H5 avian influenza viruses (AIVs) of clade 2.3.4.4 circulate in wild and domestic birds worldwide. In 2017, nine strains of H5N6 AIVs were isolated from aquatic poultry in Xinjiang, Northwest China. Objectives: This study aimed to analyze the origin, reassortment, and mutations of the AIV isolates. Methods: AIVs were isolated from oropharyngeal and cloacal swabs of poultry. Identification was accomplished by inoculating isolates into embryonated chicken eggs and performing hemagglutination tests and reverse transcription polymerase chain reaction (RT-PCR). The viral genomes were amplified with RT-PCR and then sequenced. The sequence alignment, phylogenetic, and molecular characteristic analyses were performed by using bioinformatic software. Results: Nine isolates originated from the same ancestor. The viral HA gene belonged to clade 2.3.4.4B, while the NA gene had a close phylogenetic relationship with the 2.3.4.4C H5N6 highly pathogenic avian influenza viruses (HPAIVs) isolated from shoveler ducks in Ningxia in 2015. The NP gene was grouped into an independent subcluster within the 2.3.4.4B H5N8 AIVs, and the remaining six genes all had close phylogenetic relationships with the 2.3.4.4B H5N8 HPAIVs isolated from the wild birds in China, Egypt, Uganda, Cameroon, and India in 2016-2017, Multiple basic amino acid residues associated with HPAIVs were located adjacent to the cleavage site of the HA protein. The nine isolates comprised reassortant 2.3.4.4B HPAIVs originating from 2.3.4.4B H5N8 and 2.3.4.4C H5N6 viruses in wild birds. Conclusions: These results suggest that the Northern Tianshan Mountain wetlands in Xinjiang may have a key role in AIVs disseminating from Central China to the Eurasian continent and East African.

• 디지털융복합연구
• /
• 제18권12호
• /
• pp.425-434
• /
• 2020

바이러스감염으로 인한 설사는 전 세계적으로 공중 보건의 주요 문제이며 사망률의 큰 부분을 차지하고 있지만 기후데이터를 이용하여 분석한 연구는 많지 않다. 따라서 본 연구는 설사를 유발하는 바이러스인 Rotavirus Gr.A, Norovirus G-I & GII의 감염과 기후와의 인과관계를 분석하여 조기진단과 치료를 용이하게 하고 계절성 질환을 더욱 관리하고 예방하는데 기여하고자 하였다. 2010년 6월부터 2019년 12월까지 단국대학교 병원에서 시행한 대변 시료 4,009개의 설사바이러스 6종의 멀티플렉스 역전사 PCR(mRT-PCR)검사결과와 다양한 기후 요인 중 체감온도, 상대습도, 일조율과의 상관관계를 후향적으로 분석하였다. 4,009 개의 대변 샘플 중 985 개는 Rotavirus Gr.A, Norovirus G-I & GII 감염에 대해 양성이었다. 이 985 건 중 95.3 % (n = 939)는 10 세 미만으로 Rotavirus Gr.A, Norovirus G-I & GII는 10 세 미만 환자에서 높은 감염률을 보였다. 우리는 기상 빅데이터와 연령, 시기별 감염분석 등에 기초하여 Rotavirus Gr.A의 감염이 상대 습도에 따라 유의한 상관 관계가 있음을 확인하였고 Norovirus G-II의 감염은 체감 온도와 유의한 상관 관계가 있음을 확인하였다. 본 연구는 기후요인에 따른 Rotavirus Gr.A, Norovirus G-I & GII 감염의 분포에 대한 이해도를 향상시킴으로써 바이러스성 설사질환과 관련된 보건정책의 설정이나 계절적 영향에 대한 새로운 통찰력을 제공하는데 유용한 자료가 될 것으로 기대한다.

• 생명과학회지
• /
• 제32권12호
• /
• pp.919-928
• /
• 2022

코로나-19 펜데믹에서 볼 수 있듯이, 새로운 바이러스 감염병의 출현은 전 세계적으로 공중보건에 심각한 우려를 발생시킨다. 특히, 항바이러스제 및 백신의 부재는 감염병의 피해를 더욱 증가시킨다. 식물 유래 천연물은 안전하고 효과적인 항바이러스제 개발의 주요 공급원이다. 본 연구는 한약재 식물의 에탄올추출물의 항바이러스 활성을 분석함으로써 안전성과 효능을 갖는 새로운 항바이러스제 후보물질을 발굴하는 것을 목표로 하였다. 10종의 한약재 에탄올추출물의 항산화활성과 세포독성을 분석한 후 로타바이러스, A형간염바이러스, 독감바이러스에 대한 광범위한 바이러스 사멸활성을 분석하였다. 특히, 마가목과 감초의 추출물은 독감바이러스에 대한 강력한 사멸활성을 나타내었다. 또한, 마가목과 감초의 추출물로 사멸된 독감바이러스의 백신효능과 방어효능을 마우스 모델에서 검증하였다. 추출물로 사멸된 바이러스는 높은 수준의 중화항체를 유도하였으며 야생형 바이러스 공격접종을 효과적으로 방어하는 우수한 백신효능을 나타내었다. 본 연구의 결과는 한약재 유래 천연물을 기반으로 하는 항바이러스제와 사백신 제조를 위한 바이러스 불활화제 개발에 활용될 수 있는 가능성을 제시한다.

• Journal of Microbiology and Biotechnology
• /
• 제29권12호
• /
• pp.2014-2021
• /
• 2019

Middle East respiratory syndrome coronavirus (MERS-CoV) belongs to the genus Betacoronavirus and causes severe morbidity and mortality in humans especially when infected patients have underlying diseases such as chronic obstructive pulmonary disease (COPD). Previously, we demonstrated that MERS-CoV-encoded ORF8b strongly inhibits MDA5- and RIG-I-mediated induction of the interferon beta (IFN-β) promoter activities. Here, we report that ORF8b seemed to regulate MDA5 or RIG-I differentially as protein levels of MDA5 were significantly down-regulated while those of RIG-I were largely unperturbed. In addition, ORF8b seemed to efficiently suppress phosphorylation of IRF3 at the residues of 386 and 396 in cells transfected with RIG-I while total endogenous levels of IRF3 remained largely unchanged. Furthermore, ORF8b was able to inhibit all forms of RIG-I; full-length, RIG-I-1-734, and RIG-I-1-228, the last of which contains only the CARD domains. Taken together, it is tempting to postulate that ORF8b may interfere with the CARD-CARD interactions between RIG-I and MAVS. Further detailed analysis is required to delineate the mechanisms of how ORF8b inhibits the MDA5/RIG-I receptor signaling pathway.

• BMB Reports
• /
• 제38권4호
• /
• pp.381-385
• /
• 2005

Severe acute respiratory syndrome (SARS) is an emerging infectious disease associated with a novel coronavirus (CoV) that was identified and molecularly characterized in 2003. Previous studies on various coronaviruses indicate that protein-protein interactions amongst various coronavirus proteins are critical for viral assembly and morphogenesis. It is necessary to elucidate the molecular mechanism of SARS-CoV replication and rationalize the anti-SARS therapeutic intervention. In this study, we employed an in vitro GST pull-down assay to investigate the interaction between the membrane (M) and the nucleocapsid (N) proteins. Our results show that the interaction between the M and N proteins does take place in vitro. Moreover, we provide an evidence that 12 amino acids domain (194-205) in the M protein is responsible for binding to N protein. Our work will help shed light on the molecular mechanism of the virus assembly and provide valuable information pertaining to rationalization of future anti-viral strategies.

• Clinical and Experimental Pediatrics
• /
• 제50권10호
• /
• pp.931-937
• /
• 2007

The hemolytic uremic syndrome (HUS) is a rare disease of microangiopathic hemolytic anemia, low platelet count and renal impairment. HUS usually occurs in young children after hemorrhagic colitis by shigatoxin-producing enterohemorrhagic E. coli (D+HUS). HUS is the most common cause of acute renal failure in infants and young children, and is a substantial cause of acute mortality and morbidity; however, renal function recovers in most of them. About 10% of children with HUS do not reveal preceding diarrheal illness, and is referred to as D- HUS or atypical HUS. Atypical HUS comprises a heterogeneous group of thrombomicroangiopathy (TMA) triggered by non-enteric infection, virus, drug, malignancies, transplantation, and other underlying medical condition. Emerging data indicate dysregulation of alternative complement pathway in atypical HUS, and genetic analyses have identified mutations of several regulatory genes; i.e. the fluid phase complement regulator Factor H (CFH), the integral membrane regulator membrane cofactor protein (MCP; CD46) and the serine protease Factor I (IF). The uncontrolled activation of the complement alternative pathway results in the excessive consumption of C3. Plasma exchange or plasma infusion is recommended for treatment of, and has dropped the mortality rate. However, overall prognosis is poor, and many patients succumb to end-stage renal disease. Clinical presentations, response to plasma therapy, and outcome after renal transplantation are influenced by the genotype of the complement regulators. Thrombotic thrombocytopenic purpura (TTP), another type of TMA, occurs mainly in adults as an acquired disease accompanied by fever, neurologic deficits and renal abnormalities. However, less frequent cases of congenital or hereditary TTP associated with ADAMTS-13 (a disintegrin and metalloprotease, with thrombospondin 1-like domains 13) gene mutations have been reported, also. Recent advances in molecular genetics better allow various HUS to be distinguished on the basis of their pathogenesis. The genetic analysis of HUS is important in defining the underlying etiology, predicting the genotype-related outcome and optimizing the management of the patients.

• 한국산업보건학회지
• /
• 제30권3호
• /
• pp.256-269
• /
• 2020

Objectives: Everyone has been affected in some way by the COVID-19 pandemic, while some workers face threats to their health due to their jobs as well as worries about spreading the virus to intimate family members. With these concerns in mind, this study aims to identify occupations more vulnerable to COVID-19 and suggests the necessity of providing proper control measures against the risks in a timely manner in Korea. Methods: Daily briefing reports by the Korea Centers for Disease Control and Prevention (KCDC) were compiled (n=120) between January 20 and May 31, 2020. A total of 11,486 confirmed cases were included, which were sorted by occasion, area, and occupation. Among them, 2,411 cases were classified with specific occasions and/or areas of infection, while only 544 cases were determined with identifiable occupations. Guidelines for biological hazard management and COVID-19 guidelines for workplaces from domestic and international bodies were enlisted and compared. Results: It is unsurprising to find that healthcare professionals are experiencing the most immediate threat from COVID-19. In addition, service workers with face-to-face practices or indirect contact are also facing high risks. Religion facilities and eating places (dining, drinking bar, café, etc.,) follow. Guidelines and manuals for biological hazards are still lacking in Korea compared to the US and EU. Workplace manuals for managing COVID-19 are neither as comprehensive as the approaches of NIOSH's hierarchy of controls nor inclusive enough for minimizing secondary or tertiary suffering. Conclusions: The COVID-19 crisis is still ongoing and there is no doubt there will be more such events in the future. This analysis suggests that occupational health professionals, amid a pandemic including COVID-19, are urged to anticipate emerging risks related to all sorts of occupations, identify vulnerable workers and working environments, and plan and take actions to protect workers' health.

• Tuberculosis and Respiratory Diseases
• /
• 제78권2호
• /
• pp.78-84
• /
• 2015

Background: Reports of therapeutic drug monitoring (TDM) for second-line medications to treat multidrug-resistant tuberculosis (MDR-TB) remain limited. Methods: A retrospective cohort from the Virginia state tuberculosis (TB) registry, 2009-2014, was analyzed for TDM usage in MDR-TB. Drug concentrations, measured at time of estimated peak ($C_{max}$), were compared to expected ranges. Results: Of 10 patients with MDR-TB, 8 (80%) had TDM for at least one drug (maximum 6 drugs). Second-line drugs tested were cycloserine in seven patients (mean $C_{2hr}$, $16.6{\pm}10.2{\mu}g/mL$; 4 [57%] below expected range); moxifloxacin in five (mean $C_{2hr}$, $3.2{\pm}1.5{\mu}g/mL$; 1 [20%] below); capreomycin in five (mean $C_{2hr}$, $21.5{\pm}14.0{\mu}g/mL$; 3 [60%] below); para-aminosalicylic acid in five (mean $C_{6hr}$, $65.0{\pm}29.1{\mu}g/mL$; all within or above); linezolid in three (mean $C_{2hr}$, $11.4{\pm}4.1{\mu}g/mL$, 1 [33%] below); amikacin in two (mean $C_{2hr}$, $35.3{\pm}3.7{\mu}g/mL$; 1 [50%] below); ethionamide in one ($C_{2hr}$, $1.49{\mu}g/mL$, within expected). Two patients died: a 38-year-old woman with human immunodeficiency virus/acquired immune deficiency syndrome and TB meningitis without TDM, and a 76-year-old man with fluoroquinolone-resistant (pre-extensively drug-resistant) pulmonary TB and low linezolid and capreomycin concentrations. Conclusion: Individual pharmacokinetic variability was common. A more standardized approach to TDM for MDR-TB may limit over-testing and maximize therapeutic gain.

• International Journal of Computer Science & Network Security
• /
• 제23권10호
• /
• pp.199-208
• /
• 2023

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

• International Journal of Computer Science & Network Security
• /
• 제24권3호
• /
• pp.59-70
• /
• 2024

Background: The COVID-19 pandemic (the form of coronaviruses) developed at the end of 2019 and spread rapidly to almost every corner of the world. It has infected around 25,334,339 of the world population by the end of September 1, 2020 [1] . It has been spreading ever since, and the peak specific to every country has been rising and falling and does not seem to be over yet. Currently, the conventional RT-PCR testing is required to detect COVID-19, but the alternative method for data archiving purposes is certainly another choice for public departments to make. Researchers are trying to use medical images such as X-ray and Computed Tomography (CT) to easily diagnose the virus with the aid of Artificial Intelligence (AI)-based software. Method: This review paper provides an investigation of a newly emerging machine-learning method used to detect COVID-19 from X-ray images instead of using other methods of tests performed by medical experts. The facilities of computer vision enable us to develop an automated model that has clinical abilities of early detection of the disease. We have explored the researchers' focus on the modalities, images of datasets for use by the machine learning methods, and output metrics used to test the research in this field. Finally, the paper concludes by referring to the key problems posed by identifying COVID-19 using machine learning and future work studies. Result: This review's findings can be useful for public and private sectors to utilize the X-ray images and deployment of resources before the pandemic can reach its peaks, enabling the healthcare system with cushion time to bear the impact of the unfavorable circumstances of the pandemic is sure to cause