Research Laboratory COVID Virus

In a new study, researchers at the University of Copenhagen show that the adequacy of cellular phenomena can predict the host’s immune response. COVID-19-infection. The discovery could be important in managing the pandemic.

As parts of the Western world are slowly returning to normal, many low- and middle-income countries are still struggling and fearing new outbreaks of COVID-19. And for most it feels almost unbearable to experience another new wave of the virus, which could result in more deaths and long-term persistent symptoms as a result of COVID-19 infection.

In a new study, researchers at the University of Copenhagen present what may be needed to help fight the virus. The study shows that the study of a particular protein on the surface of cells is likely to predict who is at risk for a serious infection caused by the virus, explained Assistant Professor Rajan Gogna, lead author of the new study.

“Cells have a so-called fitness state, and by examining it we could predict the hospitalization or death of COVID-19 patients, becoming a tool to predict this biomarker earlier, especially because covid-19 can be detected from regular nasal protection.” Rajan Gognak of the Group.

If the physical condition of the cell is poor, it indicates that the cell is not developing well, because the cell is aging, lacking in reliability, has a poorly functioning metabolism, or is prone to disease, and so on. In 2021, the state of fitness found by the research team is expressed in proteins called flower proteins. These flower proteins are present on the surface of the cell and are expressed in two ways, Rajan Gogna explains.

“In a way, they tell the surrounding cells that this cell is doing well. In another form, they indicate to the surrounding tissue that this particular cell is not well and therefore in poor physical condition. If the physical condition of the cells is not great, the cell will gradually disappear and the surrounding cells will die.

Accurate prediction of serious infections

Particularly helpful in the early stages of COVID-19 disease, the expression of the flower protein may accurately predict hospitalization or death, as well as who will have a more serious infection.

“The method could predict who needed to be hospitalized accuracy it was 78.7 percent. With COVID-19 patients who would not have a serious infection, the prediction was accurate at 93.9 percent, ”says associate professor and team leader Kyoung Jae Won, who analyzed the data using machine learning.

To analyze the data, the researchers conducted a post-mortem study of infected lung tissue in dead COVID-19 patients to determine the biological role of flower proteins in acute lung injury, which is the leading cause of disease death.

Using nasal samples, they also performed an observational study to assess whether the protein manifestations could accurately predict hospitalization or death.

“The suitability of the cell indicated by the flower protein may allow some people to respond poorly to COVID-19 and identify people at high risk in advance. “In other nations, the general population has serious doubts about the vaccine. But people have no doubts about a test, which we hope will improve the results,” said Rajan Gogna.

The physical cell is not just your age

Cell adequacy is relative to many things in our body and does not necessarily change with age. Age has an effect, but researchers have seen many cases in their database where people in their 80s have a very good physical shape of the lungs, which is the main area in which cell status is measured to predict the outcome of COVID-19 infection. explained Rajan Gogna.

“We have also seen young people die in countries like India, Indonesia and Brazil. Not only age, but comorbidities affect the physical level of cells in the upper and lower respiratory tract. In addition, insulin signals, diabetes and hypertension play an important role in determining the condition of the cells, ”says Rajan Gogna.

The researchers hope to make their discovery timely, given the persistence of COVID-19 and the growing number of cases and deaths in several nations outside the Western world despite vaccinations.

“In many countries, the population needs protection against the worst outcomes. We believe that these places can benefit from our discovery, ”says Rajan Gogna.

Reference: Michail Yekelchy, Esha Madan, Jochen Wilhelm, Kirsty R Short, António M Palma, Linbu Liao, Denise Camacho, Everlyne Nkadori, Michael T Winters, Emily S, “Flower Loss, Cell Fitness Marker, Predicts COVID-19 Prognosis” Rice, Inês Rolim, Raquel Cruz-Duarte, Christopher J Pelham, Masaki Nagane, Kartik Gupta, Sahil Chaudhary, Thomas Braun, Raghavendra Pillappa, Mark S Parker, Thomas Menter, Matthias Matter, Jasmin Dionne Haslbauer, Markus Tolnay, Kornelia D Galior, Kristina A Matkwoskyj, Stephanie M McGregor, Laura K Muller, Emad A Rakha, Antonio Lopez-Beltran, Ronny Drapkin, Maximilian Ackermann, Paul B Fisher, Steven R Grossman, Andrew K Godwin, Arutha Kulasinghe, Ivan Martinez, Clay B Marsh, Benjamin Tang, Max S Wicha, Kyoung Jae Won, Alexandar Tzankov, Eduardo Moreno and Rajan Gogna, October 18, 2021, EMBO Molecular Medicine.
DOI: 10.15252 / emmm.202013714