Researchers from the University of Copenhagen offered what might be a much-needed helping hand in the fight against the COVID-19 virus in a new study. According to Assistant Professor Rajan Gogna, principal author of the current study, examination of a specific protein on the cell surface is likely to identify who is at risk of a major illness caused by the virus.
“Cells have a so-called fitness status, and by analysing it, we could predict hospitalisation or death in COVID-19 patients, potentially making such a biomarker an earlier prediction tool, especially because it can be detected from the common nasal swap covid-19-tests,” says Rajan Gogna of the Biotech Research and Innovation Centre.
If the cell fitness status is poor, it indicates that the cell does not develop well, either because the cell is aged, lacks reliability, has an ill-functioning metabolism or is disease prone etc. Earlier in 2021, the research team discovered that fitness status is expressed in proteins called flower proteins. These flower proteins are on the surface of the cell, and they are expressed in two forms, explains Rajan Gogna.
“In one form, they tell the surrounding cells that this cell is doing well. In the other form, they indicate to the surrounding tissue, that this particular cell is not doing well and thus has a bad fitness status. If the cell’s fitness status is not great, the cell will get phased out and killed by the surrounding cells.”
Accurate prediction of serious infection
Especially helpful in cases of the early phase of COVID-19 illness, the flower protein expression could accurately predict hospitalization or death as well as predict who would have a less serious infection.
“The method could predict who needed hospitalization with an accuracy of was 78.7 per cent. With COVID-19 patients who would not have a serious infection, the prediction was accurate at 93.9 per cent,” says Associate Professor and Group Leader Kyoung Jae Won, who analyzed the data using machine learning.
In order to analyze the data, the researchers performed a post-mortem examination of the infected lung tissue in deceased COVID-19 patients to determine the flower proteins biological role in acute lung injury, which is the main cause of death from the disease.
By using nasal swap samples, they also performed an observational study to evaluate whether the protein expression could accurately predict hospitalization or death.
“The cell fitness, expressed by the flower protein, could help explain why some people respond poorly to COVID-19 and provide an opportunity for pre-identification of high-risk individuals. This discovery has the potential to help save their lives by severely alerting them to be extra protective of themselves, or until they are fortunate enough to get their hands on a vaccine. In some other nations, the population in general has great hesitancy against vaccination. But people are not hesitant about a test, and we hope this will improve outcomes,” says Rajan Gogna.
Cell fitness is not just about your age.
Cell fitness is relative to many things in our bodies and does not necessarily alter with age. Age has an impact, but the researchers have seen many cases from their database where people who are 80 years of age have a very good fitness profile of lungs, which is the main area where cell fitness is measured to predict COVID-19 infection outcome, explains Rajan Gogna.
“We have also seen young people die in countries like India, Indonesia and Brazil. Because it is not only age but the comorbidities which have an impact on the fitness level of the cell in both the upper and lower respiratory tract. Also the insulin signalling, diabetes and hypertension is known to play a role in determining cell fitness,” says Rajan Gogna.
The researchers hope their discovery is timely, because of the persistency of COVID-19 and rising cases and deaths in various nations outside the Western world despite vaccines.
“In many countries, the populations need protection from the worst outcomes. We believe that these places could benefit from our discovery,” says Rajan Gogna.
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