Los Alamos National Laboratory

Vaccine development software shows promise in influenza effort, could help defeat coronavirus

Korber’s Epigraph algorithm used for HIV, Ebola, Marburg thus far

Newswise — LOS ALAMOS, N.M., March 1, 2021— A novel computer algorithm that could create a broadly reactive influenza vaccine for swine flu also offers a path toward a pan-influenza vaccine and possibly a pan-coronavirus vaccine as well, according to a new paper published in Nature Communications

“This work takes us a step closer to a pan-swine flu virus vaccine,” said Bette Korber, a computational biologist at Los Alamos National Laboratory and a co-author on the paper. “The hope is to eventually be prepared with an effective and rapid response if another swine flu epidemic begins to spread in humans, but this swine flu vaccine could also be useful in a veterinary setting.” The immune responses to the vaccine showed very promising breadth against diverse viral variants. “The same basic principles may be applicable to developing a pan-coronavirus vaccine to enable a rapid vaccine response to future coronavirus cross-species jumps,” said Korber. 

The algorithm, Epigraph, has already been used to predict therapeutic HIV vaccine candidates, and it has also shown promising potential as a pan-filovirus vaccine against highly diverse Ebola and Marburg viruses, protecting against disease when tested in an animal model. 

Vaccination with the Epigraph-designed product led to the development of a strong cross-reactive antibody response in mice, the study showed. In swine, it induced strong cross-reactive antibody and T-cell responses. The research was conducted in close collaboration with researchers from the Nebraska Center for Virology at the University of Nebraska, St. Jude Children’s Research Hospital, and Los Alamos National Laboratory.

“We developed the Epigraph strategy for this kind of problem, and it can, in theory, be applied to many diverse pathogens,” said Korber, who created it in partnership with her husband, James Theiler, a Los Alamos Fellow. “The tool creates a cocktail of vaccine antigens designed to maximize efficacy across a highly diverse population.” 

Since 2010, more than 460 swine-flu variant infections have been reported in humans in the United States. Pigs are susceptible to swine, avian, and human influenza viruses, making them the perfect “mixing vessel” for novel reassorted influenza viruses, the authors note. These novel reassorted viruses have significant pandemic potential if zoonosis (transfer from pigs to humans) occurs, as seen with 2009 H1N1 swine flu pandemic. 

The paper: Bullard, B.L., Corder, B.N., DeBeauchamp, J. et al. Epigraph hemagglutinin vaccine induces broad cross-reactive immunity against swine H3 influenza virus. Nat Commun 12, 1203 (2021). https://doi.org/10.1038/s41467-021-21508-6

The funding: The Biodefense and Emerging Infectious Disease (BEI) Repository provided the USDA Swine Surveillance Influenza A virus isolates repository for reagents used in this study. This research was supported by the National Institutes of Health under Ruth L. Kirschstein National Research Service Award 1 T32 AI125207.

About Los Alamos National Laboratory (www.lanl.gov) 
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is managed by Triad, a public service oriented, national security science organization equally owned by its three founding members: Battelle Memorial Institute (Battelle), the Texas A&M University System (TAMUS), and the Regents of the University of California (UC) for the Department of Energy’s National Nuclear Security Administration.

Los Alamos enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

LA-UR-21-21903

SEE ORIGINAL STUDY



Filters close

Showing results

110 of 5872
Released: 24-Jun-2021 4:55 PM EDT
Virus that causes COVID-19 can find alternate route to infect cells
Washington University in St. Louis

The virus that causes COVID-19 normally gets inside cells by attaching to a protein called ACE2. Researchers at Washington University School of Medicine in St. Louis have found that a single mutation confers the ability to enter cells through another route, which may threaten the effectiveness of COVID-19 vaccines and therapeutics designed to block the standard route of entry.

Newswise: Is it a Virus or Bacteria? New Tech Rapidly Tests for COVID-19 and More
Released: 24-Jun-2021 3:05 PM EDT
Is it a Virus or Bacteria? New Tech Rapidly Tests for COVID-19 and More
Homeland Security's Science And Technology Directorate

S&T is preparing for future outbreaks/pandemics by investing in a new tech that can quickly discriminate between bacterial and viral infections so that the U.S. can triage patients and plan a response without delay.

Released: 24-Jun-2021 12:30 PM EDT
A tecnologia de IA e ECG pode descartar rapidamente a infecção por COVID-19, concluiu o estudo da Mayo Clinic
Mayo Clinic

A inteligência artificial (IA) pode oferecer uma maneira de determinar com precisão se uma pessoa não está infectada com a COVID-19. Um estudo retrospectivo internacional descobriu que a infecção pelo SARS-CoV-2, o vírus que causa a COVID-19, cria mudanças elétricas sutis no coração. Um eletrocardiograma (ECG) habilitado com IA pode detectar essas alterações e, potencialmente, ser usado como um teste de triagem rápido e confiável para descartar a infecção por COVID-19.

Released: 24-Jun-2021 12:10 PM EDT
妙佑医疗国际(Mayo Clinic)的研究发现,AI赋能的心电图技术有可能迅速排除COVID-19感染
Mayo Clinic

AI (人工智能)有可能提供准确判断一个人未感染COVID-19(2019冠状病毒病)的方法。一项国际回顾性研究发现,如果感染了导致COVID-19的SARS-CoV-2病毒,患者的心脏会产生微妙的电学变化。AI赋能的心电图(EKG)可以检测到这些变化,并有望被用于进行快速、可靠的COVID-19筛查检测,以排除COVID-19感染。

Newswise: 200421_Felgner_3205_sz-2-768x496.jpg
Released: 24-Jun-2021 11:50 AM EDT
UCI Professor Wins Spain’s Prestigious Princess of Asturias Award for Scientific Research
University of California, Irvine

Irvine, Calif., June 24, 2021 — Philip Felgner, Ph.D., professor in residence of physiology & biophysics at the University of California, Irvine, is one of seven scholars worldwide to win Spain’s prestigious Princess of Asturias Award for Technical and Scientific Research in recognition of their contributions to designing COVID-19 vaccines.

Released: 24-Jun-2021 11:00 AM EDT
New protein engineering method could accelerate the discovery of COVID-19 therapeutics
University of Michigan

Discovering and engineering nanobodies with properties suitable for treating human diseases ranging from cancer to COVID-19 is a time-consuming, laborious process.

Newswise: Decoding humans’ survival from coronaviruses
Released: 24-Jun-2021 11:00 AM EDT
Decoding humans’ survival from coronaviruses
University of Adelaide

An international team of researchers co-led by the University of Adelaide and the University of Arizona has analysed the genomes of more than 2,500 modern humans from 26 worldwide populations, to better understand how humans have adapted to historical coronavirus outbreaks.

access_time Embargo lifts in 2 days
Embargo will expire: 29-Jun-2021 4:00 PM EDT Released to reporters: 24-Jun-2021 10:35 AM EDT

A reporter's PressPass is required to access this story until the embargo expires on 29-Jun-2021 4:00 PM EDT The Newswise PressPass gives verified journalists access to embargoed stories. Please log in to complete a presspass application. If you have not yet registered, please Register. When you fill out the registration form, please identify yourself as a reporter in order to advance to the presspass application form.

Newswise: COVIDLockdownSimulations.jpg
Released: 24-Jun-2021 10:00 AM EDT
Pandemic Air Quality Affected By Weather, Not Just Lockdowns
Washington University in St. Louis

Using a diverse set of tools, the lab of Randall Martin shows how the pandemic did – or didn’t – affect levels of particulate matter during COVID lockdowns.

Released: 24-Jun-2021 6:05 AM EDT
Longest known SARS-CoV-2 infection of nearly 300 days successfully treated with new therapy
University of Bristol

An immunocompromised individual with the longest known PCR confirmed case of SARS-CoV-2 infection, lasting more than 290 days, has been successfully treated with two investigational monoclonal antibodies (laboratory engineered antibodies). Clinicians and researchers from the University of Bristol and North Bristol NHS Trust (NBT) worked closely to assess and treat the infection and want to highlight the urgent need for improved access to treatments for such people with persistent SARS-CoV-2 infection.


Showing results

110 of 5872

close
1.2901