ASU engineer's lab partnering with US Army to improve Ebola detection
ASU bioengineer Tony Hu discusses his partnership with the U.S. Army to develop faster diagnostic tests for Ebola. Photo by Jason Drees/Biodesign Institute
To catch a serial killer, homicide detectives must quickly and accurately find clues. Trace evidence left at a crime scene may eventually reveal the killer’s presence and identity, but the detectives first have to know what to look for.
Like a criminal hiding in plain sight, contagious pathogens spread by capitalizing on the delay between initial infection and telltale symptoms in their hosts. That reality was painfully clear during the 2014 Ebola outbreak when clinics struggled to prevent transmission from patients to caregivers overwhelmed by the disease. The deadly virus traveled across continents before its symptoms were detected and the infected patients were quarantined.
The 2014 epidemic subsided, but recent cases in the Congo indicate the virus is still an active threat. In preparation for future outbreaks, researchers are racing to equip field clinicians with diagnostic tools that will detect virus-infected individuals early to prevent new epidemics.
One of those tools is a nanotechnology platform developed by Arizona State University engineer Tony Hu that detects disease molecules in blood samples. In this assay, diluted patient blood samples are mixed with porous silicon nanodisks (pSiNDs). A machine called a mass spectrometer (MS) measures the mass of all the molecules bound by these pSiNDs. The method, known as pSiND-MS, is very sensitive and can identify specific amino acid sequences of peptides belonging to viruses like Ebola.
“Ebola is a disease, but it is also a family. For each strain, the treatment can be different. We want to develop a method that only uses one step, one method [to identify these strains],” said Hu (pictured above).
Hu, a researcher at the Virginia Piper Center for Personal Diagnostics at ASU’s Biodesign Institute and associate professor at the Ira A. Fulton Schools of Engineering, previously applied the pSiND-MS method to Tuberculosis testing and succeeded in reducing the diagnosis time from days to mere hours. He plans to apply a similar approach to Ebola by using the pSiND-MS method to improve detection of three telltale biomarkers in Ebola patient blood samples.
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Scanning electron micrograph of Ebola virus budding from the surface of an infected cell.
Photo courtesy of NIAID
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ASU researchers look for three amino acid sequences that are Ebola biomarkers in a data graph of blood molecules.
Photo by Jason Drees/Biodesign Institute
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ASU engineer Tony Hu (right) and Chang Liu, a graduate teaching assistant in the School of Molecular Sciences, analyze a graph of blood molecules collected using porous silicon nanodisks (pSiNDs) and a mass spectrometer (MS). Known as pSiND-MS, the testing method can identify specific amino acid sequences of peptides belonging to viruses like Ebola.
Photo by Jason Drees/Biodesign Institute
These three biomarkers are peptide sequences. The virus produces one of these peptides, Ebola antigen VP40, soon after infection. The other two peptides, Serum Amyloid A and alpha-1-antichymotrypsin, are produced by the patient’s immune system in response to the infection.
“Once you enrich the antigen directly from the blood, then we have some special way to digest this antigen and profile their fragment picture landscape on the mass spec,” Hu said.
All three peptides are detectable in blood samples even before viral particles themselves are detectable. They are a trio of clues that reveal in just two hours whether a person has contracted Ebola.
Thanks to a new grant from the National Institutes of Health, Hu’s lab will partner with the U.S. Army Medical Research Institute of Infectious Diseases (USAMRIID) to improve and expand the rapid Ebola test even further. Hu’s lab is located at ASU’s Biodesign Institute, but USAMRIID’s Biosafety Level-4 facility in Fort Detrick, Maryland, will conduct all the Ebola experiments.
The two primary goals of partnering with USAMRIID are to refine the pSiND-MS method for detecting and counting the three Ebola biomarkers. The researchers also want to determine how different patterns of these biomarkers correlate with different strains of Ebola.
Hu aims to make the new test as simple and accessible as possible, which is why it relies on mass spectrometers commonly found in most hospitals and laboratories.
Sharing diagnostic data quickly between rural clinics, hospitals and laboratories significantly improves management of contagious epidemics. Equipping caregivers with simple, sensitive and rapid tools is a pivotal weapon in the struggle to detect and contain viral outbreaks before they claim more victims.
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