Predicting infectious influenza
A new computer model could help scientists predict when a particular strain of avian influenza might become infectious from bird to human, according to a report to be published in the International Journal Data Mining and Bioinformatics.
Chuang Ma of the University of Arizona, Tucson, and colleagues at the Huazhong University of Science and Technology, Wuhan and the Wuhan Institute of Virology, explain that since 1997 several strains of avian influenza A virus (AIV), commonly known as “bird flu” have infected people directly from their natural bird hosts leading to numerous deaths. The most recent outbreak is “H7N9” bird flu, which emerged in China in February 2013. The team has now developed a computational technique that allows them to predict whether or not a given strain of bird flu has the potential to infect people. Such a tool would allow the health authorities to monitor specific strains in among wild and domestic birds and so predict with more certainty whether or not that strain is likely to cause a global pandemic of influenza in people.
The method is based on analyzing ninety signature positions in the inner protein sequences of different strains of the virus, the researchers explain. These positions are then correlated with more than 500 different physical and chemical characteristics of the virus. The researchers then use data mining techniques to match up specific physicochemical characteristics with bird to human infectivity. This can then be tracked back to the presence of mutations in the proteins of emerging strains. The team has successfully validated their system, which they refer to simply as “A2H”, against known strains of bird flu and those that are infectious to people.
“A2H might be useful in the early warning of interspecies transmission of AIV, which is beneficial to public health,” the team says. “It will be further validated and upgraded when more virus strains become available,” they add. A similar approach might also one day be extended to other viruses that emerge from non-human hosts and become infectious to people.
###
“Predicting transmission of avian influenza A viruses from avian to human by using informative physicochemical properties” in Int. J. Data Mining and Bioinformatics, 2013, 7, 166-179
Influenza is a contagious disease of mainly the upper respiratory tract (nose, throat, bronchi) and is caused by a virus. The virus is passed from person to person by viral particles present in aerosols generated by sneezes and coughs. In most people, the infection is short-lived, about one to two weeks, and typically people recover on their own without complications. In the very young, elderly and people having other diseases, influenza can take a more severe course and lead to complications and even death. For such people, yearly vaccination is indicated. Influenza rapidly spreads around the world in seasonal epidemics, with new strains arising in East or Southeast Asia, traveling to Australia and other parts of Oceania, to Western Asia and Europe, to North America, and finally to South America where the strain dies out (Science, 2008). Each year a new strain or strains become the infectious agent. Different strains represent the result of minor genetic changes in the influenza gene sequences.
Two different influenza viruses cause human disease: influenza A and influenza B. Three subtypes of influenza A are important for humans: A(H3N2), A(H1N1) and A(H1N2), of which A(H3N2) is currently associated with the most deaths. The H and N are shorthand for two proteins, haemagglutinin (H) and neuraminidase (N), located on the surface of the virus. Most recently, there have been limited outbreaks of A(H5N1) virus, which has been transmitted from birds to humans. The H5N1 virus is potent, it is highly contagious in birds and can be deadly to them, moreover, over half of the people that contracted this influenza have died. Most of these people have been in direct or close contact with infected poultry. In general, H5N1 remains a very rare disease in people and does not appear to readily spread from person to person.
###
Albert Ang
.(JavaScript must be enabled to view this email address)
Inderscience Publishers