New Diagnostic Test Could Detect Biological ‘Fingerprints’ of Long COVID in Blood

They also aim to use similar biological signatures to develop a test and monitor for long COVID. While most people recover from COVID-19 in a matter of days or weeks, around one in ten people go on to develop symptoms that can last for several months. This can be the case irrespective of the severity of their COVID-19 – even individuals who were asymptomatic can experience so-called ‘long COVID’.

Diagnosing long COVID can be a challenge, however. A patient with asymptomatic or mild disease may not have taken a PCR test at the time of infection – the gold standard for diagnosing COVID-19 – and so has never had a confirmed diagnosis. Even antibody tests – which look for immune cells produced in response to infection – are estimated to miss around 30% of cases, particularly among those who have had only mild disease and or beyond six months post-initial illness.

The team has received GBP 370,000 from the National Institute for Health Research to develop a COVID-19 diagnostic test that would complement existing antibody tests and a test that could objectively diagnose and monitor long COVID. The research builds on a pilot project in which the team recruited 85 patients to the Cambridge NIHR COVID BioResource, which collects blood samples from patients when they are first diagnosed and then at follow-up intervals over several months. They now hope to expand their cohort to 500 patients, recruited from Cambridgeshire and Peterborough. In their initial findings, the team identified a biomarker – a biological fingerprint – in the blood of patients who had previously had COVID-19. This biomarker is a molecule known as a cytokine produced by T cells in response to infection. As with antibodies, this biomarker persists in the blood for a long time after infection.

By following patients for up to 18 months post-infection, the team hopes to address several questions, including whether immunity wanes over time. This will be an important part of helping understand whether people who have been vaccinated will need to receive boosters to keep them protected. As part of their pilot study, the team also identified a particular biomarker found in patients with long COVID. Their work suggests these patients produce a second type of cytokine, which persists in patients with long COVID compared to those that recover quickly and might be one of the drivers behind the many symptoms that patients experience. This might therefore prove to be useful for diagnosing long COVID.

At the moment, the team is using the tests for research purposes, but by increasing the size of their study cohort and carrying out further work, they hope to adapt and optimize the tests that can be scaled up and speeded up, able to be used by clinical diagnostic labs. As well as developing a reliable test, the researchers hope their work will help provide an in-depth understanding of how the immune system responds to coronavirus infection – and why it triggers long COVID in some people. In addition, having a reliable biomarker could help in the development of new treatments against COVID. Clinical trials require an objective measure of whether a drug is effective. Changes in – or the disappearance of – long-COVID-related cytokine biomarkers with corresponding symptom improvement in response to drug treatment would suggest that a treatment intervention is working.

“We need a reliable and objective way of saying whether someone has had COVID-19. Antibodies are one sign we look for, but not everyone makes a very strong response and this can wane over time and become undetectable,” said Dr. Mark Wills from the Department of Medicine at the University of Cambridge, who co-leads the team. “We’ve identified a cytokine that is also produced in response to infection by T cells and is likely to be detectable for several months – and potentially years – following infection. We believe this will help us develop a much more reliable diagnostic for those individuals who did not get a diagnosis at the time of infection.”

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