- One-Step Reverse Transcription-Polymerase Chain Reaction for Ebola and Marburg Viruses
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Sun-Whan Park, Ye-Ji Lee, Won-Ja Lee, Youngmee Jee, WooYoung Choi
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Osong Public Health Res Perspect. 2016;7(3):205-209. Published online June 30, 2016
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DOI: https://doi.org/10.1016/j.phrp.2016.04.004
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 Abstract
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- Objectives
Ebola and Marburg viruses (EBOVs and MARVs, respectively) are causative agents of severe hemorrhagic fever with high mortality rates in humans and nonhuman primates. In 2014, there was a major Ebola outbreak in various countries in West Africa, including Guinea, Liberia, Republic of Sierra Leone, and Nigeria. EBOV and MARV are clinically difficult to diagnose and distinguish from other African epidemic diseases. Therefore, in this study, we aimed to develop a method for rapid identification of the virus to prevent the spread of infection.
Methods
We established a conventional one-step reverse transcription-polymerase chain reaction (RT-PCR) assay for these pathogens based on the Superscript Reverse Transcriptase-Platinum Taq polymerase enzyme mixture. All assays were thoroughly optimized using in vitro-transcribed RNA.
Results
We designed seven primer sets of nucleocapsid protein (NP) genes based on sequences from seven filoviruses, including five EBOVs and two MARVs. To evaluate the sensitivity of the RT-PCR assay for each filovirus, 10-fold serial dilutions of synthetic viral RNA transcripts of EBOV or MARV NP genes were used to assess detection limits of viral RNA copies. The potential for these primers to cross react with other filoviruses was also examined. The results showed that the primers were specific for individual genotype detection in the examined filoviruses.
Conclusion
The assay established in this study may facilitate rapid, reliable laboratory diagnosis in suspected cases of Ebola and Marburg hemorrhagic fevers.
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Citations
Citations to this article as recorded by  - Marburg Virus Disease – A Mini-Review
Sandip Chakraborty, Deepak Chandran, Ranjan K. Mohapatra, Mahmoud Alagawany, Mohd Iqbal Yatoo, Md. Aminul Islam, Anil K. Sharma, Kuldeep Dhama
Journal of Experimental Biology and Agricultural S.2022; 10(4): 689. CrossRef - Marburgviruses: An Update
Caterina M Miraglia
Laboratory Medicine.2019; 50(1): 16. CrossRef - Ebola virus: A global public health menace: A narrative review
Shamimul Hasan, SyedAnsar Ahmad, Rahnuma Masood, Shazina Saeed
Journal of Family Medicine and Primary Care.2019; 8(7): 2189. CrossRef - Fast and Parallel Detection of Four Ebola Virus Species on a Microfluidic-Chip-Based Portable Reverse Transcription Loop-Mediated Isothermal Amplification System
Xue Lin, Xiangyu Jin, Bin Xu, Ruliang Wang, Rongxin Fu, Ya Su, Kai Jiang, Han Yang, Ying Lu, Yong Guo, Guoliang Huang
Micromachines.2019; 10(11): 777. CrossRef - The current landscape of nucleic acid tests for filovirus detection
David J. Clark, John Tyson, Andrew D. Sails, Sanjeev Krishna, Henry M. Staines
Journal of Clinical Virology.2018; 103: 27. CrossRef
- Seroprevalence of Hepatitis A and E Viruses Based on the Third Korea National Health and Nutrition Survey in Korea
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Haesun Yun, Hyeok-Jin Lee, Doosung Cheon, Chaeshin Chu, Kyung Won Oh, Young Taek Kim, Youngmee Jee
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Osong Public Health Res Perspect. 2011;2(1):46-50. Published online June 30, 2011
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DOI: https://doi.org/10.1016/j.phrp.2011.04.009
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2,552
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15
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7
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Abstract
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- Objectives
The purpose of this study was to investigate the seroprevalence of hepatitis A virus (HAV) and hepatitis E virus (HEV) in Korea during 2005.
Methods
Study subjects were selected from across Korea using a stratified multistage probability sampling design, and HAV and HEV seroprevalence was compared on the basis of sex, age, and residency. A total of 497 rural and urban people aged 10–99 years of age (mean ± SD age = 28.87 ± 17.63 years) were selected by two-stage cluster sampling and tested serologically for anti-HAV and anti-HEV IgG using an enzyme-linked immunosorbent assay.
Results
Among this population, the overall seroprevalence of HAV was 63.80% (55.21% aged in their 20s and 95.92% in their 30s, p < 0.01) and that of HEV was 9.40% (5.21% aged in their 20s and 7.14% in their 30s, p < 0.01). Seroprevalence also varied according to area of residence. HEV prevalence in rural areas was higher than that of urban regions based on the anti-HEV antibody, odds ratio 3.22 (95% confidence interval: 1.46–7.10, p < 0.01). There were no significant differences between male and female against anti-HAV/HEV antibodies.
Conclusion
Our study suggested that the seropositive rates of HAV and HEV might be related to age and environmental conditions.
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Citations
Citations to this article as recorded by - Factors associated with anti-hepatitis A virus immunoglobulin G seropositivity among Korean workers: a cross-sectional study
Eunchan Mun, Yesung Lee, Byungseong Suh, Wonsul Kim, Jinsook Jeong, Hwanjin Park, Woncheol Lee, Boksoon Han, Soyoung Park, Changhwan Lee
BMJ Open.2020; 10(6): e036727. CrossRef - Seroprevalence and risk factors of hepatitis E virus infection among the Korean, Manchu, Mongol, and Han ethnic groups in Eastern and Northeastern China
Yanan Cai, Si-Yuan Qin, Aidong Qian, Peng Xu, Ying-Tian Xu, Lin-Hong Xie, Quan Zhao, Xiao-Xuan Zhang
Journal of Medical Virology.2017; 89(11): 1988. CrossRef - Hepatitis E virus exposure in pregnant women in rural Durango, Mexico
Cosme Alvarado-Esquivel, Luis F. Sánchez-Anguiano, Jesús Hernández-Tinoco
Annals of Hepatology.2014; 13(5): 510. CrossRef - Epidemiologic Study on Hepatitis A Virus Seroprevalence in Busan
Kyung-Soon Cho, So-Hyun Park
Korean Journal of Clinical Laboratory Science.2014; 46(1): 17. CrossRef - A Systematic Review of Hepatitis E Virus Infection in Children
V. P. Verghese, J. L. Robinson
Clinical Infectious Diseases.2014; 59(5): 689. CrossRef - Hepatitis E Virus (HEV) Seroprevalence in the general population of the Republic of Korea in 2007–2009: a nationwide cross-sectional study
Youngsil Yoon, Hye Sook Jeong, Haesun Yun, Hyeokjin Lee, Yoo-Sung Hwang, Bohyun Park, Chae Jin Lee, Sangwon Lee, Ji-Yeon Hyeon
BMC Infectious Diseases.2014;[Epub] CrossRef - The Road Less Traveled
Chaeshin Chu
Osong Public Health and Research Perspectives.2011; 2(1): 1. CrossRef
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