Advertisement
The test, CoVarScan, detects the signatures of eight hotspots on the SARS-CoV-2 virus that causes COVID-19.
The researchers at the University of Texas (UT) Southwestern Medical Center in the US tested CoVarScan on samples collected from more than 4,000 patients.
The research, published recently in the journal Clinical Chemistry, shows that the test is as accurate as other methods used to diagnose COVID-19, and can successfully differentiate between all current variants of SARS-CoV-2.
Related Articles
Advertisement
”It also has implications for individual patients when we are dealing with variants that respond differently to treatments,” SoRelle said.
While several other tests for COVID-19 exist, they generally detect either a fragment of SARS-CoV-2 genetic material or small molecules found on the surface of the virus and don’t provide information to identify the variant.
In addition, many researchers worry that these tests are not accurate in detecting some variants, or may miss future strains.
To determine which variant of COVID-19 a patient has, scientists typically must use whole-genome sequencing, which is time-consuming and expensive, relying on sophisticated equipment and analysis to spell out the entire RNA sequence contained in the viruses.
CoVarScan hones in on eight regions of SARS-CoV-2 that commonly differ between viral variants.
It detects small mutations — where the sequence of RNA building blocks varies — and measures the length of repetitive genetic regions that tend to grow and shrink as the virus evolves.
The method relies on polymerase chain reaction (PCR) — a technique common in most pathology labs — to copy and measure the RNA at these eight sites of interest.
SoRelle’s team ran the test on over 4,000 COVID-19-positive nasal swab samples collected at UT Southwestern from April 2021 to February 2022 — from patients both with and without symptoms.
The tests were validated with the gold-standard whole-genome sequencing, and the results were used by doctors to choose treatments for some critically ill COVID-19 patients.
Compared to whole-genome sequencing, CoVarScan had 96 percent sensitivity and 99 percent specificity.
It identified and differentiated Delta, Mu, Lambda, and Omicron variants of COVID-19, including the BA.2 version of Omicron, once known as ”stealth Omicron” because it did not show up on some tests designed to detect only the Omicron strain.
”A common critique of this kind of test is that it requires constant adjustment for new variants, but CoVarScan has not needed any adjustment in more than a year; it is still performing very well,” said SoRelle.
”In the future, if we did need to adjust it, we could easily add as many as 20 or 30 additional hotspots to the test,” he added.
Sorelle plans to continue developing CoVarScan as a commercial test and has a pending patent application based on this work.