New method predicts individual response to Ebola infection

February 11, 2020

Not everyone who catches Ebola dies of the hemorrhagic virus infection. Some people mount a robust immune defense and recover fully. Yet risk factors for susceptibility to infection and disease severity remain poorly understood.

A team at the Center for Infection and Immunity (CII) at Columbia University Mailman School of Public Health has used a specially bred population of laboratory mice that mimics human patterns of tolerance and susceptibility to the Ebola virus to identify human immune factors that predict outcomes among people infected with the disease.

In a new paper published by Cell Reports, the team describes how they identified differences in immune response among mice who recovered from Ebola and those who perished. Further analysis revealed differences in gene expression between the two groups that account for disparities in immune response. Using machine learning, the team created a model that accurately predicts human disease outcomes based on expression of a small subset of genes.

The researchers tested their model using a data set collected from Ebola patients in western Africa; the data set contains details on the presence of types of RNA associated with immune function in people's blood, as well as whether they lived or died after infection. The model predicted the patients' outcomes with 75 percent accuracy, confirming the factors identified as valid in the mouse model were also associated with outcomes among humans infected with Ebola.

While the work has not yet been translated into a clinically approved test for use among human patients, the findings could guide the development of new tools to triage patients in resource-poor countries, support immune function among those at higher risk of death, and boost vaccine response among those at greatest risk. "Since the current Ebola therapeutics being tested in the DRC [Democratic Republic of Congo] are most effective when given as early as possible in infection our model could be used to develop tests with a huge impact on clinical care and patient outcomes," says senior author Angela Rasmussen, PhD, an associate research scientist with the Center for Infection and Immunity.

Studies of Ebola infection and response among humans have historically been limited by the difficulty of obtaining samples during an outbreak, says co-first author Adam Price, PhD, an analyst at Columbia Mailman's Center for Infection and Immunity. "The human data set we used to test our machine learning model is one of the only ones in existence that contains the information we needed on gene transcription among people infected with Ebola," Price explains.

"Human data collected during an outbreak rarely contains the combined breadth and specificity of information scientists need to perform detailed analyses of immune function," says co-first author Atsushi Okumura, PhD, DVM, an associate research scientist at CII. "Mouse models can help fill in the information gaps."

Rasmussen points out that by contrast to relying on patient data, the right mouse model can allow for comparatively expedited, low-cost studies to guide the study of human disease and the design of effective medications. "A common criticism of mouse models of Ebola is that they don't faithfully recapitulate human infection, and thus can't be used to develop diagnostic or prognostic tools," says Rasmussen. "Here we show that data generated in our mouse model can be applied to patient data to correctly predict outcomes."

Due to its size and low cost, the new mouse model removes research hurdles by making it easier for scientists to perform pre-clinical studies in maximum biocontainment, and with more robust statistical power than can be achieved with larger animal models. Using AI-driven approaches like machine learning to apply this to patients also overcomes the challenge of obtaining human samples.

The fidelity of the team's mouse model in replicating human responses to Ebola may prove helpful in understanding other viruses, such as the coronavirus outbreak that began in Wuhan, China. While much is still unknown about the new coronavirus, Rasmussen explains that the mouse model may be a useful model in guiding further understanding of the disease.
-end-
Adam Price, a bioinformatician at the Center for Infection and Immunity is co-first author. Additional authors are Pryanka Sharma, Methinee Artami, and W. Ian Lipkin of the Columbia Mailman School of Public Health; Elaine Haddock, Friederike Feldmann, Kimberly Meade-White, and Heinz Feldmann of the National Institute of Allergy and Infectious Diseases; and David W. Threadgill, Texas A&M University Health Science. Center. The study was funded by DARPA (HR0011-17-2-0009), NIH/NIAID (AI10976), and the Intramural Research Program of the National Institute of Allergy and Infectious Diseases.

Columbia University's Mailman School of Public Health

Related Science Articles from Brightsurf:

75 science societies urge the education department to base Title IX sexual harassment regulations on evidence and science
The American Educational Research Association (AERA) and the American Association for the Advancement of Science (AAAS) today led 75 scientific societies in submitting comments on the US Department of Education's proposed changes to Title IX regulations.

Science/Science Careers' survey ranks top biotech, biopharma, and pharma employers
The Science and Science Careers' 2018 annual Top Employers Survey polled employees in the biotechnology, biopharmaceutical, pharmaceutical, and related industries to determine the 20 best employers in these industries as well as their driving characteristics.

Science in the palm of your hand: How citizen science transforms passive learners
Citizen science projects can engage even children who previously were not interested in science.

Applied science may yield more translational research publications than basic science
While translational research can happen at any stage of the research process, a recent investigation of behavioral and social science research awards granted by the NIH between 2008 and 2014 revealed that applied science yielded a higher volume of translational research publications than basic science, according to a study published May 9, 2018 in the open-access journal PLOS ONE by Xueying Han from the Science and Technology Policy Institute, USA, and colleagues.

Prominent academics, including Salk's Thomas Albright, call for more science in forensic science
Six scientists who recently served on the National Commission on Forensic Science are calling on the scientific community at large to advocate for increased research and financial support of forensic science as well as the introduction of empirical testing requirements to ensure the validity of outcomes.

World Science Forum 2017 Jordan issues Science for Peace Declaration
On behalf of the coordinating organizations responsible for delivering the World Science Forum Jordan, the concluding Science for Peace Declaration issued at the Dead Sea represents a global call for action to science and society to build a future that promises greater equality, security and opportunity for all, and in which science plays an increasingly prominent role as an enabler of fair and sustainable development.

PETA science group promotes animal-free science at society of toxicology conference
The PETA International Science Consortium Ltd. is presenting two posters on animal-free methods for testing inhalation toxicity at the 56th annual Society of Toxicology (SOT) meeting March 12 to 16, 2017, in Baltimore, Maryland.

Citizen Science in the Digital Age: Rhetoric, Science and Public Engagement
James Wynn's timely investigation highlights scientific studies grounded in publicly gathered data and probes the rhetoric these studies employ.

Science/Science Careers' survey ranks top biotech, pharma, and biopharma employers
The Science and Science Careers' 2016 annual Top Employers Survey polled employees in the biotechnology, biopharmaceutical, pharmaceutical, and related industries to determine the 20 best employers in these industries as well as their driving characteristics.

Three natural science professors win TJ Park Science Fellowship
Professor Jung-Min Kee (Department of Chemistry, UNIST), Professor Kyudong Choi (Department of Mathematical Sciences, UNIST), and Professor Kwanpyo Kim (Department of Physics, UNIST) are the recipients of the Cheong-Am (TJ Park) Science Fellowship of the year 2016.

Read More: Science News and Science Current Events
Brightsurf.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.