Botti-Lodovico Yolanda, Nair Parvathy, Nosamiefan Dolo, Stremlau Matthew, Schaffner Stephen, Agignoae Sebastian V, Aiyepada John Oke, Ajogbasile Fehintola V, Akpede George O, Alhasan Foday, Andersen Kristian G, Asogun Danny A, Ayodeji Oladele Oluwafemi, Badiane Aida S, Barnes Kayla, Bauer Matthew R, Bell-Kareem Antoinette, Benard Muoebonam Ekene, Benevolence Ebo Ohomoime, Blessing Osiemi, Boehm Chloe K, Boisen Matthew L, Bond Nell G, Branco Luis M, Butts Michael J, Carter Amber, Colubri Andres, Deme Awa B, DeRuff Katherine C, Diédhiou Younousse, Edamhande Akhilomen Patience, Elhamoumi Siham, Engel Emily J, Eromon Philomena, Fallah Mosoka, Folarin Onikepe A, Fry Ben, Garry Robert, Gaye Amy, Gbakie Michael, Gevao Sahr M, Gionet Gabrielle, Gladden-Young Adrianne, Goba Augustine, Gomis Jules Francois, Happi Anise N, Houghton Mary, Ihekwuazu Chikwe, Iruolagbe Christopher Ojemiega, Jackson Jonathan, Jalloh Simbirie, Johnson Jeremy, Kanneh Lansana, Kayode Adeyemi, Kemball Molly, Kingsley Ojide Chiedozie, Koroma Veronica, Kotliar Dylan, Mehta Samar, Metsky Hayden C, Michael Airende, Mirhashemi Marzieh Ezzaty, Modjarrad Kayvon, Momoh Mambu, Myhrvold Cameron A, Naregose Okonofua Grace, Ndiaye Tolla, Ndiaye Mouhamadou, Ndiaye Aliou, Normandin Erica, Odia Ikponmwosa, Oguzie Judith Uche, Okogbenin Sylvanus A, Okokhere Peter O, Okolie Johnson, Olawoye Idowu B, Olumade Testimony J, Oluniyi Paul E, Omoregie Omigie, Park Daniel J, Paye Mariétou Faye, Petros Brittany, Philippakis Anthony A, Priscilla Abechi, Ricks Alan, Rimoin Anne, Sandi John Demby, Schieffelin John S, Schreiber Monica, Seck Mame Cheikh, Siddiqui Sameed, Siddle Katherine, Smither Allison R, Sy Mouhamad, Sy Ngayo, Tomkins-Tinch Christopher H, Tomori Oyewale, Ugwu Chinedu, Uwanibe Jessica N, Uyigue Eghosasere Anthonia, Victoria Dada Ireti, Vinzé Anika, Vodzak Megan E, Welch Nicole, Wurie Haja Isatta, Zoumarou Daba, Grant Donald S, Ndiaye Daouda, MacInnis Bronwyn, Sabeti Pardis C, Happi Christian
Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA 02142, USA.
Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
Viruses. 2021 Aug 13;13(8):1605. doi: 10.3390/v13081605.
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.
在研究人类基因LARGE的适应性进化信号时,我们遇到了斯特凡·昆茨博士的一个有趣发现,即该基因在拉沙病毒的结合和进入过程中起着关键作用。这促使我们开展实地研究,以检验我们的假设:在尼日利亚约鲁巴人群中检测到的针对LARGE的自然选择,使一些西非人群对拉沙热具有抵抗力。随着我们进一步深入研究,我们推测,像拉沙热这样最近发现的疾病的“新出现”性质与新发现的检测能力有关,而不是与新出现的病毒有关,而且人类实际上接触导致此类疾病的病毒的时间比之前怀疑的要长得多。斯特凡·昆茨博士的重要努力不仅为这一发现奠定了基础,还激发并促成了一系列事件,催生了“哨兵计划”,这是西非一项雄心勃勃的大规模大流行预防行动。“哨兵计划”旨在通过实施其三个基本支柱——检测、连接和赋能,在致命病原体传播到全球之前对其进行检测和特征描述。更具体地说,“哨兵计划”旨在快速检测已知和新出现的感染,实时连接和共享信息以识别新出现的威胁,并使公共卫生界有能力在世界任何地方改善大流行防范和应对措施。我们很自豪地将这项工作献给斯特凡·昆茨,并热切邀请新的合作者、专家和其他人士加入我们的努力。