We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Technopath Clinical Diagnostics - An LGC Company

Download Mobile App





RNA Reference Materials Useful for Standardizing COVID-19 Tests, Finds Study

By LabMedica International staff writers
Posted on 24 Jan 2022
Print article
Illustration
Illustration

A new study has shown that RNA reference materials are useful for standardizing COVID-19 tests.

The multiorganizational study led by researchers at the National Institute of Standards and Technology (NIST; Gaithersburg, MD, USA) looked at anchoring cycle threshold (Ct) values to a reference sample with known amounts of the virus in an effort to make the COVID-19 tests results more comparable between labs.

Scientists track and monitor the circulation of SARS-CoV-2, the virus that causes COVID-19, using methods based on a laboratory technique called polymerase chain reaction (PCR). Also used as the “gold standard” test to diagnose COVID-19 in individuals, PCR amplifies pieces of DNA by copying them numerous times through a series of chemical reactions. The number of cycles it takes to amplify DNA sequences of interest so that they are detectable by the PCR machine, known as Ct, is what researchers and medical professionals look at to detect the virus. However, not all labs get the same Ct values.

SARS-CoV-2 is an RNA virus: Its genetic material is single-stranded instead of double-stranded like DNA and contains some different molecular building blocks, namely uracil in place of thymine. But the PCR test only works with DNA, and labs first must convert the RNA to DNA to screen for COVID-19. For the test, RNA is isolated from a patient’s sample and combined with other ingredients, including short DNA sequences known as primers, to transform the RNA into DNA. When running a PCR test, labs often use the Ct value to make a positive or negative diagnosis of COVID-19. Labs often set a “cutoff” Ct value above which they interpret and can declare a patient “negative” if the virus is not detected after a certain number of cycles. But even though different labs can accurately detect the virus using their PCR tests, they use their own test methods and instruments, which could lead to different Ct values.

So, for this study, a multiorganizational research team set out to explore how much Ct values could vary among different labs when they ran PCR tests on the same reference samples containing known amounts of the SARS-CoV-2 virus. Two reference materials with carefully measured concentrations of the SARS-CoV-2 RNA were developed by a group of organizations and institutions. RM 1 had an estimated viral load of 10 million (107) copies per milliliter, and RM 2 had an estimated viral load of one million (106) copies per milliliter.

To ensure these values were accurate, metrology institutes measured and validated the reference materials using digital PCR. Digital PCR follows the same steps as traditional PCR but is a more advanced version. In digital PCR, the sample is partitioned into thousands of tiny droplets. A compound is also added so when the targeted DNA is detected it gives off a glow, allowing researchers to confirm if the sample is positive for the coronavirus with the presence of the fluorescent molecules.

The reference materials were sent out to a total of 305 laboratories in Germany, which yielded 1,109 data sets to be analyzed. The Ct values differed between labs depending on the test system or PCR equipment used and the targeted DNA sequences of the virus. For example, PCR assays aiming to detect a key gene (the “N” gene) in the COVID-19 virus had a range of Ct values between 17.6 and 26.9 for RM 1, while for RM 2 the range was between 20.7 and 30.1. The ranges between the two RMs overlap (20.7 to 26.9) even though they have different viral load concentrations, which shows it’s not possible to tell the precise concentration from Ct values alone.

The differences in Ct values among labs showed the usefulness of reference materials as a tool to help labs compare and standardize their results. Some have previously viewed the Ct value as a way to measure the viral load, the amount of virus in a person’s body. But the variation in Ct values across labs underscores that the two variables are merely correlated with one another. For example, if an individual has a higher viral load, then their Ct value would be low because it would take fewer cycles to amplify the virus’s genetic material. However, by using the appropriate reference materials, Ct values can potentially be converted to an actual virus concentration value in copies per microliter, which would be one way to quantify the viral load, though this wasn’t a focus of the study

Some have also suggested using Ct values to determine how infectious a patient is, another practice that the researchers caution against. Even though Ct values alone don’t determine how sick or infected an individual is, understanding these values could help inform decisions on setting criteria for monitoring people affected by the coronavirus. And RNA reference materials can help make these results more reliable and comparable.

“A lower Ct value means more DNA with the coronavirus starting out in the sample. It correlates to the viral load. But Ct can vary depending on the extraction material or the method used. All of these things can affect at which point the DNA is detected,” said NIST researcher Megan Cleveland, a co-author of the study. “People should use well-characterized reference materials along with their test methods instead of just relying on the Ct values. On its own, the Ct values are not easily comparable between testing laboratories, but researchers having access to reference materials and understanding their importance is beneficial.”

Related Links:
NIST

Gold Supplier
COVID-19 Ag Self Test
OnSite COVID-19 Ag Self Test
New
3-Part Diff Hematology Analyzer
DLB3
New
Urine Analyzer
R-600S
New
Microplate Reader
VANTAstar

Print article

Channels

Clinical Chem.

view channel
Image: The analysis pipeline used to investigate associations between blood metabolites, later life brain imaging measures, and genetic risk for Alzheimer’s disease (Photo courtesy of University College London)

Lipid Measurements Show Potential as Alzheimer’s Disease Biomarkers

Brain changes accompanying ageing are varied and can include pathologies that lead to cognitive impairment, the commonest of which is Alzheimer’s disease (AD). Identifying blood-based signatures of brain... Read more

Molecular Diagnostics

view channel
Image: Guidance UTI provides personalized results in less than one day from receipt at lab (Photo courtesy of Pathnostics)

Rapid Result Test for Complicated Urinary Tract Infections Proves Superior to Standard Urine Culture

Complicated urinary tract infections (cUTIs) are a significant burden on individual health and healthcare resources that must be diagnosed and treated early and accurately to reduce the risk of poor outcomes.... Read more

Hematology

view channel
Image: The CS-2500 analyzer features pre-analytic sample checks and four detection methods simultaneously on a single platform – coagulation end-point, chromogenic kinetic analysis, turbidimetric immunoassay and automated platelet aggregation (Photo courtesy of Sysmex)

Microvascular/Endothelial Dysfunction Contributes to Post-COVID Syndrome Pathogenesis

Post-COVID syndrome (PCS) or Long-COVID is an increasingly recognized complication of acute SARS-CoV-2 infection, characterized by persistent fatigue, reduced exercise tolerance chest pain, shortness of... Read more

Industry

view channel
Image: Sales of lateral flow assays in clinical testing are expected to register a CAGR of 5% through 2032 (Photo courtesy of Pexels)

Global Lateral Flow Assays Market to Surpass USD 11.5 Billion by 2032 Due to Evolving Applications

The global lateral flow assays market was valued at USD 7.2 billion in 2021 and is projected to register a CAGR of 4.7% during 2022-2032 to surpass USD 11.7 billion by the end of 2032, driven by the growing... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.