While yielding valuable clues on the genetic origins of drug resistance, the findings also pave the way toward the development of new diagnostic kits for detecting and preventing the spread of global pandemic diseases.
A unique triple combination of bird, swine and human flu viruses, the pandemic influenza A(H1N1) virus, first detected in April of 2009, quickly spread from Mexico to locations across the world. By April 2010, outbreaks of the disease at both local and global scales had resulted in roughly 18,000 deaths worldwide, causing serious damage both to human health and on the global economy.
In Japan, the first case of the pandemic was reported on May 9, 2009, thereafter spreading to hundreds of people in Osaka and Kobe and eventually leading to more than 200 deaths in the country. Existing research on the spread of the virus in Japan has provided valuable information on local strains during the early phase of infection and on their classification into different groups. How the pandemic evolved to reach its peak phase of contagion, however, is not yet well understood.
To clarify the genetic basis for this evolution, the OSC group studied 253 samples of the virus collected from the Osaka area during the initial phase (May, 2009) and from the Kansai and Kanto areas during the peak phase (October, 2009 to January 2010) of contagion. Of 20 different mutation groups identified in the peak infection group, analysis revealed that 12 were entirely new to Japan. Rapid mutation of the virus strains was traced to a genome with an extremely high evolutionary rate.Among the variety of mutants discovered, the researchers were able to pinpoint two mutations which clearly differentiate the early phase and peak phase viruses. They also identified mutations in some viruses which confer resistance to Oseltamivir (Tamiflu), one of the most widely-used antiviral drugs. Published in the journal PLoS ONE, the findings together mark a major advance in efforts to understand the genetic origins of the 2009 A(H1N1) virus, and a key step in OSC-centered efforts to develop on-site detection techniques for controlling infection of deadly pandemics.
Study relating to materials testing Detecting damages in non-magnetic steel through magnetism
23.07.2018 | Technische Universität Kaiserslautern
Innovative genetic tests for children with developmental disorders and epilepsy
11.07.2018 | Christian-Albrechts-Universität zu Kiel
There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.
The low current is considered one of the biggest hurdles in the development of solid-state batteries. It is the reason why the batteries take a relatively long...
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
20.08.2018 | Information Technology
20.08.2018 | Life Sciences
20.08.2018 | Information Technology