In a new study, researchers from University of Copenhagen present what could be a much-needed helping hand to fight COVID-19.
The study shows that analysis of a particular protein on the cell surface is likely to predict who is in danger of a serious infection caused by the virus, explained assistant professor, Rajan Gogna, lead author of the new study.
“Cells have a so-called fitness status, and by analysing this, 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,” said Rajan Gogna from the Won Group at the Biotech Research & 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, explained 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 are 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.”
Especially helpful in cases of the early phase of COVID-19 illness, the flower protein expression could accurately predict hospitalisation or death as well predict who would have a less serious infection.
“The method could predict who needed hospitalisation with an accuracy of was 78.7 percent. With COVID-19 patients who would not have a serious infection, the prediction was accurate at 93.9 percent,” commented associate professor and group leader, Kyoung Jae Won, who analysed the data using machine learning.
In order to analyse 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 hospitalisation or death.
“The cell fitness, expressed by the flower protein, could help explain why some people respond poorly to COVID-19 and provide 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,” said Rajan Gogna.
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 has an impact on the fitness level of the cell in both the upper and lower respiratory tract. Also the insulin signaling, diabetes and hypertension is known to play a role in determining the cell fitness,” said Rajan Gogna. “In many countries, the populations need protection from the worst outcomes. We believe that these places could benefit from our discovery."
