| Literature DB >> 34452470 |
Yolanda Botti-Lodovico1, Parvathy Nair2, Dolo Nosamiefan3, Matthew Stremlau4, Stephen Schaffner1,5,6, Sebastian V Agignoae1,7, John Oke Aiyepada8, Fehintola V Ajogbasile3,9, George O Akpede8,10, Foday Alhasan11, Kristian G Andersen12,13, Danny A Asogun14, Oladele Oluwafemi Ayodeji15, Aida S Badiane16, Kayla Barnes1,6, Matthew R Bauer17, Antoinette Bell-Kareem18, Muoebonam Ekene Benard8, Ebo Ohomoime Benevolence8, Osiemi Blessing8, Chloe K Boehm1,19, Matthew L Boisen20, Nell G Bond18, Luis M Branco20, Michael J Butts1,5, Amber Carter1, Andres Colubri1,21, Awa B Deme16, Katherine C DeRuff1, Younousse Diédhiou16, Akhilomen Patience Edamhande8, Siham Elhamoumi1, Emily J Engel18, Philomena Eromon3, Mosoka Fallah22, Onikepe A Folarin3,9, Ben Fry23, Robert Garry18, Amy Gaye16, Michael Gbakie11, Sahr M Gevao24, Gabrielle Gionet1, Adrianne Gladden-Young1, Augustine Goba25, Jules Francois Gomis16, Anise N Happi3, Mary Houghton1, Chikwe Ihekwuazu8, Christopher Ojemiega Iruolagbe26, Jonathan Jackson27, Simbirie Jalloh25, Jeremy Johnson1, Lansana Kanneh11, Adeyemi Kayode3,9, Molly Kemball1,5, Ojide Chiedozie Kingsley28, Veronica Koroma11, Dylan Kotliar1,5, Samar Mehta29, Hayden C Metsky1, Airende Michael8, Marzieh Ezzaty Mirhashemi1, Kayvon Modjarrad30, Mambu Momoh25,31, Cameron A Myhrvold1,19, Okonofua Grace Naregose8, Tolla Ndiaye16, Mouhamadou Ndiaye16, Aliou Ndiaye16, Erica Normandin1,32, Ikponmwosa Odia8, Judith Uche Oguzie3,9, Sylvanus A Okogbenin8, Peter O Okokhere8,10,33, Johnson Okolie3, Idowu B Olawoye3,9, Testimony J Olumade3,9, Paul E Oluniyi3,9, Omigie Omoregie8,34, Daniel J Park1, Mariétou Faye Paye1, Brittany Petros1,35,36, Anthony A Philippakis1, Abechi Priscilla3, Alan Ricks37,38, Anne Rimoin39, John Demby Sandi25, John S Schieffelin40, Monica Schreiber5, Mame Cheikh Seck16, Sameed Siddiqui1,41, Katherine Siddle1, Allison R Smither42, Mouhamad Sy16, Ngayo Sy16, Christopher H Tomkins-Tinch1,5, Oyewale Tomori8, Chinedu Ugwu3,9, Jessica N Uwanibe3,9, Eghosasere Anthonia Uyigue8, Dada Ireti Victoria3,43, Anika Vinzé1, Megan E Vodzak1,2, Nicole Welch1,17, Haja Isatta Wurie25, Daba Zoumarou16, Donald S Grant11,25, Daouda Ndiaye9,16, Bronwyn MacInnis1, Pardis C Sabeti1,2,5,6,44,45, Christian Happi3,6,9.
Abstract
While investigating a signal of adaptive evolution in humans at the gene LARGE, we encountered an intriguing finding by Dr. Stefan Kunz that the gene plays a critical role in Lassa virus binding and entry. This led us to pursue field work to test our hypothesis that natural selection acting on LARGE-detected in the Yoruba population of Nigeria-conferred resistance to Lassa Fever in some West African populations. As we delved further, we conjectured that the "emerging" nature of recently discovered diseases like Lassa fever is related to a newfound capacity for detection, rather than a novel viral presence, and that humans have in fact been exposed to the viruses that cause such diseases for much longer than previously suspected. Dr. Stefan Kunz's critical efforts not only laid the groundwork for this discovery, but also inspired and catalyzed a series of events that birthed Sentinel, an ambitious and large-scale pandemic prevention effort in West Africa. Sentinel aims to detect and characterize deadly pathogens before they spread across the globe, through implementation of its three fundamental pillars: Detect, Connect, and Empower. More specifically, Sentinel is designed to detect known and novel infections rapidly, connect and share information in real time to identify emerging threats, and empower the public health community to improve pandemic preparedness and response anywhere in the world. We are proud to dedicate this work to Stefan Kunz, and eagerly invite new collaborators, experts, and others to join us in our efforts.Entities:
Keywords: Ebola; LARGE; Lassa fever; Lassa virus; bioinformatics; diagnostic tools; genomic surveillance; infectious disease; pandemic preemption; pandemic response
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Year: 2021 PMID: 34452470 PMCID: PMC8402630 DOI: 10.3390/v13081605
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.048
Figure 1Sentinel will detect pathogens in any setting, from remote rural clinics to hospitals, and unknown pathogens will be identified and characterized at regional genome centers. Through a cloud-based system, Sentinel will share this information and connect healthcare workers, researchers, and disease control officials to track and predict threats. Finally, Sentinel will empower all stakeholders through a codified pandemic preemption system that can be scaled around the world.