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Rapid Diagnosis of Ebola Hemorrhagic Fever by Reverse Transcription-PCR in an Outbreak Setting and Assessment of Patient Viral Load as a Predictor of Outcome
Open accessAbstract
The largest outbreak on record of Ebola hemorrhagic fever (EHF) occurred in Uganda from August 2000 to January 2001. The outbreak was centered in the Gulu district of northern Uganda, with secondary transmission to other districts. After the initial diagnosis of Sudan ebolavirus by the National Institute for Virology in Johannesburg, South Africa, a temporary diagnostic laboratory was established within the Gulu district at St. Mary's Lacor Hospital. The laboratory used antigen capture and reverse transcription-PCR (RT-PCR) to diagnose Sudan ebolavirus infection in suspect patients. The RT-PCR and antigen-capture diagnostic assays proved very effective for detecting ebolavirus in patient serum, plasma, and whole blood. In samples collected very early in the course of infection, the RT-PCR assay could detect ebolavirus 24 to 48 h prior to detection by antigen capture. More than 1,000 blood samples were collected, with multiple samples obtained from many patients throughout the course of infection. Real-time quantitative RT-PCR was used to determine the viral load in multiple samples from patients with fatal and nonfatal cases, and these data were correlated with the disease outcome. RNA copy levels in patients who died averaged 2 log 10 higher than those in patients who survived. Using clinical material from multiple EHF patients, we sequenced the variable region of the glycoprotein. This Sudan ebolavirus strain was not derived from either the earlier Boniface (1976) or Maleo (1979) strain, but it shares a common ancestor with both. Furthermore, both sequence and epidemiologic data are consistent with the outbreak having originated from a single introduction into the human population.
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Cited by
Sissoko, D., Laouenan, C., Folkesson, E., M’Lebing, A.-B., Beavogui, A.-H., Baize, S., Camara, A.-M., Maes, P., Shepherd, S., Danel, C., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1001967 · Cited by 478
Marburg Hemorrhagic Fever Associated with Multiple Genetic Lineages of Virus
Bausch, D. G., Nichol, S. T., Muyembe-Tamfum, J. J., Borchert, M., Rollin, P. E., Sleurs, H., Campbell, P., Tshioko, F. K., Roth, C., Colebunders, R., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa051465 · Cited by 307
Self-citationBray, M., & Geisbert, T. W. (2005) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2005.02.018 · Cited by 265
Molecular Evolution of Viruses of the Family Filoviridae Based on 97 Whole-Genome Sequences
Carroll, S. A., Towner, J. S., Sealy, T. K., McMullan, L. K., Khristova, M. L., Burt, F. J., Swanepoel, R., Rollin, P. E., & Nichol, S. T. (2013) · Journal of Virology · doi:10.1128/jvi.03118-12 · Cited by 177
Self-citationAlbariño, C. G., Shoemaker, T., Khristova, M. L., Wamala, J. F., Muyembe, J. J., Balinandi, S., Tumusiime, A., Campbell, S., Cannon, D., Gibbons, A., et al. (2013) · Virology · doi:10.1016/j.virol.2013.04.014 · Cited by 144
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Metadata
- Authors
- Towner, J. S., Rollin, P. E., Bausch, D. G., Sanchez, A., Crary, S. M., Vincent, M., Lee, W. F., Spiropoulou, C. F., Ksiazek, T. G., Lukwiya, M., Kaducu, F., Downing, R., & Nichol, S. T.
- Venue
- Journal of Virology
- Publisher
- American Society for Microbiology
- Published
- 2004-04-15
- Volume
- 78
- Issue
- 8
- Pages
- 4330-4341
- ISSN
- 0022-538X (ISSN-L)
- 1098-5514
- OpenAlex
- W1999455027
- Cited by
- 515
- References
- 0
- FWCI
- 10.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Towner, J. S., Rollin, P. E., Bausch, D. G., Sanchez, A., Crary, S. M., Vincent, M., Lee, W. F., Spiropoulou, C. F., Ksiazek, T. G., Lukwiya, M., Kaducu, F., Downing, R., & Nichol, S. T. (2004). Rapid Diagnosis of Ebola Hemorrhagic Fever by Reverse Transcription-PCR in an Outbreak Setting and Assessment of Patient Viral Load as a Predictor of Outcome. Journal of Virology. https://doi.org/10.1128/jvi.78.8.4330-4341.2004
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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