By Published: April 10, 2020

Banner image: Camille Paige, a researcher at the BioFrontiers Institute,听spits into a tube to demonstrate how SickStick works. (Credit: CU 麻豆影院)

Imagine a test that could tell you if you were infected with COVID-19 before you had a single symptom, came at an affordable price without the need to go to a doctor, and returned results in minutes.

Those who tested positive could swiftly quarantine themselves, while those who tested negative could head to work or spend time with family without fear of spreading infection.听

That鈥檚 the vision behind a new University of Colorado-born technology that researchers are fast-tracking in hopes of not only helping to curb the current pandemic but also radically change the way we track disease in the future. 听

鈥淲ith most infectious diseases, by the time you develop symptoms you have already been contagious for days and out and about spreading it to people,鈥 said Nicholas Meyerson, a scientist in the department of Molecular, Cellular and Developmental Biology (MCDB) at CU 麻豆影院 and CEO of Darwin Biosciences, a startup formed to commercialize the SickStick. 鈥淥ur device acts at the earliest stage of infection. It knows you鈥檙e sick before you do.鈥

For a decade, Meyerson has been working with MCDB Professor Sara Sawyer, a virologist at the BioFrontiers Institute, to understand the basic science underlying the body鈥檚 early immune response to infection. While most labs and tests have focused on antibodies鈥攑roteins in the blood that signal a mounting defense against a bacteria or virus鈥擲awyer鈥檚 lab has taken a different approach.

 Person provides saliva sample; reaction proceeds at body temperature; fluid applied to strip and results appear.

SickStick works in three听steps, offering quick results much like a home pregnancy test. Credit: Nick Meyerson

鈥淎ntibodies don鈥檛 arise in your body until after the copy number of a pathogen has gotten very large,鈥 said Sawyer, noting that this can take days or鈥攊n the case of coronavirus鈥攎ore than two weeks. 鈥淭hey are the last chapter in the immunology textbook. We specialize in the first chapter鈥攖he smoke signals that infected cells send off to indicate a pathogen is present.鈥

Disease 鈥榮moke signals鈥

Those smoke signals, called nucleic acids, rise up in the cells within hours of exposure to a virus and can make their way into saliva. With this in mind, and a $3 million grant from the Department of Defense in hand, Sawyer and Meyerson set out two years ago to develop a new kind of diagnostic test. Also involved are researchers from the听labs of Associate Professor of MCDB Robin Dowell, Biochemistry Professor Roy Parker and Dr. Eric Poeschla at the CU Anschutz Medical Campus.

鈥淭here is a lot of utility in knowing that people are getting sick before they go and infect others, yet there is currently only one tool for knowing that 鈥 the thermometer,鈥 said Sawyer, noting that because some pathogens don鈥檛 prompt fever it鈥檚 an unreliable tool. 鈥淥ur technology fills a void.鈥

The SickStick Team poses together for a photoA prototype SickStick deviceNicholas Meyerson

Top: Sara Sawyer (center) poses with members of her lab听pre-social distancing; middle: A prototype SickStick test; bottom: Nicholas Meyerson. (Credits: Glenn Asakawa/CU 麻豆影院; Nicholas Meyerson; Donald Meyerson)

The user spits in a receptacle, sticks in a strip that soaks up the contents and within minutes鈥攎uch like with an at-home pregnancy test鈥攁 series of lines appear.听

The original prototype was designed to be agnostic about the kind of infection present: one line for healthy; two lines for sickness brewing. The researchers envisioned it being used on military bases. In another scenario, seemingly healthy civilians who had been exposed to a virus could pluck a SickStick off the shelf at the local drugstore and test themselves.

Then, coronavirus happened, and Meyerson and Sawyer quickly pivoted.

They鈥檝e been in the lab ever since, working to identify biomarkers that will enable them to add a third line to the test that would indicate whether the user has coronavirus.

鈥淓ven before coronavirus it wasn鈥檛 hard to convince people that this device could be useful,鈥 said Meyerson, noting that while antibody tests help identify who is sick or recovered, they do little to prevent unknowing carriers from spreading disease. 鈥淣ow, in this world we are living in, where people are social distancing and self-quarantining, it鈥檚 very clear that it鈥檚 the device we need.鈥

From lab to market

Under normal circumstances, the path from lab to commercial availability could be years.听 But these circumstances are anything but normal.

鈥淲e have a very ambitious goal of six months,鈥 said Sawyer.

With patents already secured, they have several clinical trials in the works to confirm that the test is accurate in predicting respiratory infections in general, and help them refine biomarkers to predict COVID-19 specifically.

This week, won first place at the New Venture Challenge event, earning it an additional $55,000 boost on top of a $126,000 grant from Venture Partners, a CU 麻豆影院 office that also provides mentoring and support to researcher-led startups. In March, the company welcomed a new COO, Rick Whitcomb, a long-time biotech entrepreneur from Lyons whom they met at a Venture Partners 别惫别苍迟.听

鈥淚 would be remiss not to call out the amazing biotech support network that CU 麻豆影院 and this community has offered us,鈥 said Sawyer. 鈥淲e are just university scientists who discovered we had our hands on something that can really matter. It鈥檚 remarkable how far we鈥檝e come so fast.鈥

The SickStick team is now working on an advanced prototype and exploring what it will take to get clearance from the Food and Drug Administration, which has sharply expedited its review process for diagnostic tests for COVID-19.

While their timeline may not help to address the current situation, if a second wave of COVID-19 hits next fall, they鈥檙e confident SickStick could help prevent it from taking hold. And when other epidemics emerge, we鈥檒l be ready.

鈥淟ong-term,鈥 said Meyerson, 鈥渢his could transform how we think about diagnosing disease.鈥