Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
2007

Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry

Sample size: 656 publication Evidence: high

Author Information

Author(s): Sampath Rangarajan, Russell Kevin L., Massire Christian, Eshoo Mark W., Harpin Vanessa, Blyn Lawrence B., Melton Rachael, Ivy Cristina, Pennella Thuy, Li Feng, Levene Harold, Hall Thomas A., Libby Brian, Fan Nancy, Walcott Demetrius J., Ranken Raymond, Pear Michael, Schink Amy, Gutierrez Jose, Drader Jared, Moore David, Metzgar David, Addington Lynda, Rothman Richard, Gaydos Charlotte A., Yang Samuel, St. George Kirsten, Fuschino Meghan E., Dean Amy B., Stallknecht David E., Goekjian Ginger, Yingst Samuel, Monteville Marshall, Saad Magdi D., Whitehouse Chris A., Baldwin Carson, Rudnick Karl H., Hofstadler Steven A., Lemon Stanley M., Ecker David J.

Primary Institution: Ibis Biosciences Inc.

Hypothesis

Can a new method based on RT-PCR/ESI-MS effectively identify and monitor emerging influenza virus genotypes?

Conclusion

The RT-PCR/ESI-MS method can rapidly identify all species of influenza viruses and monitor the emergence of new genotypes.

Supporting Evidence

  • The method identified 92 influenza isolates representing 30 different H and N types.
  • Analysis of 656 human clinical specimens showed >97% sensitivity and specificity.
  • Base composition analysis provided 100% concordance with previously established clades.
  • Mixed viral quasispecies were found in approximately 1% of recent samples.

Takeaway

Scientists created a new test to quickly find different types of flu viruses, helping to keep track of how they change and spread.

Methodology

The study used RT-PCR followed by electrospray ionization mass spectrometry to analyze influenza virus samples.

Limitations

The method may not detect all reassortants or newly emerging genetic variants without prior knowledge of the virus sequence.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0000489

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