1. A Web-based Interactive Genome Library for Surveillance, Detection, Characterization and Drug-Resistance Monitoring of Influenza Virus Infection in the Philippines
Dr. Edsel Maurice T. Salvaña
National Institute of Molecular Biology and Biotechnology
National Institutes of Health
University of the Philippines - Manila

2. INTRODUCTION Influenza is an emerging infection
Through reassortment, it has the potential to become pandemic, such as 2009 A(H1N1) which caused the latest influenza pandemic
Important to monitor for new strains and drug
resistance
Reassortant strains may cause a pandemic
Drug resistance monitoring is important for the treatment of immunocompromised, the elderly, and the children

3. INFLUENZA IN THE PHILIPPINES
There is currently no existing web-based database about influenza in the Philippines
Present data on influenza only includes
basic information and infection rates
Little is available on epidemiology and
drug-resistance

4. OBJECTIVE
This project aims to design and construct a web-based interactive genome library for surveillance, detection, characterization, genotyping, and genotype and drug-resistance monitoring of influenza virus infection in the Philippines.

5. GOALS OF THE DATABASE
Comprehensive library of influenza sequences in the Philippines
Linked genomic, clinical and geographic data
Sequencing of key resistance genes for epidemiologic monitoring

6. FEATURES 3 Levels of Access Patient and Virological Data Entry
Patient and Virological Data Search
Data Analysis-Tables and Graphs
Clickable Map of the Philippines
When clicked shows ILI data for the region

7. METHODS Computer Scientists Biologists
This project is being worked on by 2 teams: the computer scientists and biologists. On one hand, the computer scientists are developing the website/database. On the other hand, the biologists are sequencing the pandemic A(H1N1) influenza viruses. When we combine these two together, we get the Philippine Influenza Database.

8. ACCESS LEVELS Guest Administrator
Can only access search features, maps, tables, and graphs
Registered User
Can input patient data and sequence data
Administrator
All website access including
Allowing access for registered users
Maintaining the website
Deleting Patients
Updating graphs

9. HOMEPAGE

10. CREATE ACCOUNT

11. PATIENT DATA ENTRY

12. SEQUENCE DATA ENTRY

13. UPLOAD/DOWNLOAD

14. SEQUENCE SEARCH

15. TABLES

16. GRAPHS

17. CLICKABLE MAP

18. CLICKABLE MAP

19. 430 A(H1N1) isolates with a total of 952 sequences (only 4 Philippine isolates previously, submitted by foreign sources)
All isolates resistant to adamantane resistance data
Detected six instances of oseltamivir resistance
Beta-testing of Genome Library

21. CONSISTENT WITH DATA FROM OTHER COUNTRIES
RESULTS
All of the A(H1N1) 2009 pandemic samples sequenced had resistance mutations against adamantanes (S31N)
CONSISTENT WITH DATA FROM OTHER COUNTRIES

22. RESULTS
Six of the neuraminidase genes had resistance mutations (H275Y) for oseltamivir

23. METHODOLOGY
A total of sixty (60) sequences for both hemagglutinin and neuraminidase were obtained from the Influenza database. Sequence concatenation and alignment were done using MEGA 5 software (Tamura et al., 2007). Aligned sequences were uploaded in Beauti to generate files for the BEAST software (Drummond and Rambaut, 2007). Phylogenetic tree was generated using HKY model and tip dates to generate height.
RESULT
Phylogenetic analysis resulted to a tree that has clusters based on the year of sampling. Two samples ( _11_82 and _11_83) were found to be more related to _10_79.
DISCUSSION
The phylogenetic tree generated in this study shows the yearly genetic change of the influenza virus similar to other studies such as the study of Su and colleagues in Two samples isolated in March 2011 were found to be closely related to the samples that were isolated July This could indicate the possibility that the variant of influenza virus related to still exists in the population up to the early 2011 as demonstrated Steinbruck in 2011.

24. Data presented in European Congress of Clinical Microbiology and Infectious Diseases 2012 – WHO showed interest in this model
Abstract presented at ID Week 2012 – Excellent Reception
Resistance Data presented in ECCMID 2015
Active collaboration with RITM most samples sourced from them

25. FUTURE PLANS Beta testing in Metro Manila
Incorporating RITM data into database
Expanding the database to other diseases of public health importance, i.e., dengue, HIV
Long-term sustainability
Hosting by the Philippine Genome Center

26. THE INFLUENZA TEAM Program Leader: Dr. Raul V. Destura
Project Leader: Dr. Edsel Maurice T. Salvaña
Web Portal:
George Bryan Trinidad
Monica Hoe Lim Ma
Mark Laurence Agmata
Sequencing of Influenza:
Brian Schwem
Sharie Keanne Ganchua
Funded by the Department of Science and Technology
Before I end, I would like to acknowledging the efforts of the IMBB Influenza Team. These are the people behind this project.

27. THANK YOU!