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Data Mining in the Influenza Research Database (IRD) and the Virus Pathogen Resource ( ViPR )

Data Mining in the Influenza Research Database (IRD) and the Virus Pathogen Resource ( ViPR ). JCVI-GSCID/NIAID Workshop University of Limpopo 01 June 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center. www.fludb.org. www.viprbrc.org.

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Data Mining in the Influenza Research Database (IRD) and the Virus Pathogen Resource ( ViPR )

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  1. Data Mining in the Influenza Research Database (IRD) and the Virus Pathogen Resource (ViPR) JCVI-GSCID/NIAID Workshop University of Limpopo 01 June 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center

  2. www.fludb.org

  3. www.viprbrc.org

  4. Identification of adaptive drivers of species jump events

  5. Public Health Impact of Influenza • Seasonal flu epidemics occur yearly during the fall/ winter months and result in 3-5 million cases of severe illness worldwide. • More than 200,000 people are hospitalized each year with seasonal flu-related complications in the U.S. • Approximately 36,000 deaths occur due to seasonal flu each year in the U.S. • Populations at highest risk are children under age 2, adults age 65 and older, and groups with other comorbidities. Source: World Health Organization - http://www.who.int/mediacentre/factsheets/fs211/en/index.html

  6. Flu pandemics of the 20th and 21st centuries initiated by species jump events • 1918 flu pandemic (Spanish flu) • subtype H1N1 (avian origin) • estimated to have claimed between 2.5% to 5.0% of the world’s population (20 > 100 million deaths) • Asian flu (1957 – 1958) • subtype H2N2 (avian origin) • 1 - 1.5 million deaths • Hong Kong flu (1968 – 1969) • subtype H3N2 (avian origin) • between 750,000 and 1 million deaths • 2009 H1N1 • subtype H1N1 (swine origin) • ~ 16,000 deaths as of March 2010

  7. 2009 Pandemic species jump

  8. Pandemic stages Adaptive drivers

  9. Basic reproductive number (R0) • Total number of secondary cases per case • Reasonable surrogate of fitness • Characteristics of pandemic viruses: • R0H >1, and • In genetic neighborhood of viruses with R0R>1 and R0H<1 • Adaptive drivers A1 A2 • Reservoir virus • (R0R>1 and R0H<<1) • Stuttering viruses • (R0R>1 and R0H<1) • Pandemic Viruses • (R0H >1)

  10. Fitness barriers • Constant barriers to fitness – host-specific biochemical pathways/components and innate immunity • Dynamic barriers to fitness – adaptive immunity and health status • Variable barriers to fitness – host genetic polymorphisms • Include transmission barriers and replication barriers

  11. Fit pandemic virus • Fit as a transmission source in reservoir species • Fit in the transmission process from reservoir species to human • Fit in human receipt of transmission • Fit in infection establishment in human • Fit in viral replication in human • Fit for human to human transmission as above

  12. Is adaptive immunity relevant? • In previous pandemics, new virus was largely novel to the adaptive immune system, especially antibody-mediated immunity • Therefore, in contrast to seasonal antigenic drift, pandemic-related adaptive mutations do not need to target immune epitopes

  13. Adaptive drivers Pepin KM et al. (2010) “Identifying genetics markers of adaptation for surveillance of viral host jump” Nature Reviews Microbiology 8: 802-814.

  14. Stuttering transmission and adaptive drivers • Stuttering transmission can reveal adaptive drivers by evidence of convergent evolution • Odds of finding the same neutral mutation by chance in multiple species jumps is low • Therefore, finding same mutation in multiple independent species jump events is strong evidence for adaptive driver

  15. Genetic convergence during species jump • Virus isolate groups from IRD • Avian H5N1 (PB2) from Southeast Asia* up to 2003 (260 records) – reservoirs of source viruses • Human H5N1 (PB2) from Southeast Asia 2003-present (165 records) – many examples of independent species jumps • Align amino acid sequence and calculate conservation score • Identify highly conserved positions in avian records (≤1/260 variants) (557positions/759) – functionally restricted in reservoir • Select subset in which two or more human isolates contained the same sequence variant – either due to human-human transmission or convergent evolution *China, Hong Kong, Indonesia, Thailand, Viet Nam

  16. Strain Search – PB2 avian H5N1 Southeast Asia up to 2003

  17. 260 PB2 records

  18. Sequence variation analysis

  19. Position order

  20. Order by conservation score

  21. My Workbench

  22. Select strains with specific sequence alterations

  23. Convergent evolution candidates d d d

  24. Surface exposed All convergent evolution candidates Conservation score 586, 591, 627, 629 PB2_A/MEXICO/INDRE4487/2009(H1N1)

  25. Convergent evolution candidates

  26. E627K

  27. E627K and species jump

  28. K660R

  29. Human influenza pandemics are initiated by species jump events followed by sustained human to human transmission (R0H>1) Multiple independent occurrences of the same mutation during stuttering transmission is evidence of convergent evolution of adaptive drivers – hypotheses for experimental testing Surveillance for adaptive drivers in reservoir species could help anticipate the next pandemic Summary N01AI40041

  30. U.T. Southwestern Richard Scheuermann Burke Squires JyothiNoronha Victoria Hunt ShubhadaGodbole Brett Pickett Ayman Al-Rawashdeh MSSM Adolfo Garcia-Sastre Eric Bortz Gina Conenello Peter Palese Vecna Chris Larsen Al Ramsey LANL Catherine Macken Mira Dimitrijevic U.C. Davis Nicole Baumgarth Northrop Grumman Ed Klem Mike Atassi Kevin Biersack Jon Dietrich WenjieHua Wei Jen Sanjeev Kumar Xiaomei Li Zaigang Liu Jason Lucas Michelle Lu Bruce Quesenberry Barbara Rotchford Hongbo Su Bryan Walters JianjunWang Sam Zaremba LiweiZhou Acknowledgments • IRD SWG • Gillian Air, OMRF • Carol Cardona, Univ. Minnesota • Adolfo Garcia-Sastre, Mt Sinai • ElodieGhedin, Univ. Pittsburgh • Martha Nelson, Fogarty • Daniel Perez, Univ. Maryland • Gavin Smith, Duke Singapore • David Spiro, JCVI • Dave Stallknecht, Univ. Georgia • David Topham, Rochester • Richard Webby, St Jude • USDA • David Suarez • Sage Analytica • Robert Taylor • Lone Simonsen • CEIRS Centers

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