Using an animal model they developed, Saint Louis University and Utah State university researchers have identified a strategy that could keep a common group of viruses called adenoviruses from replicating and causing sickness in humans.
"The adenovirus can cause colds and infections in the eyes and respiratory system and generally are not serious," says William Wold, PhD, senior author of the paper and chair of molecular microbiology and immunology at Saint Louis University. "However, like many other viruses, adenovirus can replicate at will when a patient's immune system is suppressed. Adenovirus can become very dangerous, such as for a child who is undergoing a bone marrow transplant to treat leukemia."
The research was published in the Aug. 20 issue of PLOS Pathogens.
Wold and his colleagues found that Type 1 interferon is critical to prevent adenovirus from multiplying. Interferon is a protein and part of the body's immune response that fights against invading pathogens. Cells that are infected by a virus release interferon to signal nearby non-infected cells to be on alert to fight the invading virus.
Researchers turned off the STAT2 gene in a group of Syrian hamsters, which disrupted the Type 1 interferon pathway by interrupting the cascade of cell signaling. They compared that group with a group of wild-type control animals, both of which had adenovirus. The genetically modified Syrian hamsters had 100 to 1,000 times more virus in their bodies than the control.
"While thousands of papers have been published on the replication of adenovirus in a cell culture model, until now, not much has been understood about the molecular details during adenovirus replication in humans," Wold says.
The study also was the first to report findings with a genetically modified Syrian hamster infected with a virus. The genetically modified Syrian hamster with the STAT2 gene disrupted (or knocked out) was constructed by Zhongde Wang, PhD, and his colleagues at Utah State University. Wang's laboratory is the first to develop gene-targeting technologies in the Syrian hamster.
"The success we achieved in conducting gene-targeting in the Syrian hamster has provided the opportunity to create models for many of the human diseases for which there are either no existent animal models or severe limitations in the available animal models," Wang says.
Previously, Wold led a research team that identified the Syrian hamster as an appropriate animal model to study adenoviruses because human adenovirus replicates in these animals, causing sickness that is similar to that seen in humans. Before their findings, scientists lacked an animal model in which to conduct adenovirus research.
"Besides providing an insight into adenovirus infection in humans, our results are also interesting from the perspective of the animal model: the STAT2 knockout Syrian hamster may also be an important animal model for studying other viral infections, including Ebola, hanta and dengue viruses," he says.
Other members of the research team include Karoly Toth, Baoling Ying, John E. Sagartz, Jacqueline F. Spencer and Ann E. Tollefson, Saint Louis University; Sang R. Lee and Zhongde Wang, Utah State University, Logan, Utah; and Il-Keun Kong, PhD, Gyeongsang National University, Jinju, South Korea.
Source: Saint Louis University
Expanded Screening Protocols Improve Early Detection of Candida auris at Mount Sinai Brooklyn
December 1st 2024Mount Sinai Brooklyn’s expanded Candida auris screening protocols identified more cases, enabling timely isolation and disinfection measures to prevent outbreaks and enhance patient safety in hospital settings.
Pioneering Advances in Sterilization: The Future of Infection Control
November 28th 2024Germitec, STERIS, ASP, and Zuno Medical are pioneering sterilization advancements with groundbreaking technologies that enhance SPD workflows, improve patient safety, and redefine infection control standards.
Genomic Surveillance A New Frontier in Health Care Outbreak Detection
November 27th 2024According to new research, genomic surveillance is transforming health care-associated infection detection by identifying outbreaks earlier, enabling faster interventions, improving patient outcomes, and reducing costs.