A study that can predict patient mortality risk from blood samples of new corona patients

People infected with the new coronavirus (SARS-CoV-2) show

a variety of immune responses, from asymptomatic to deadly. By analyzing metabolites during the immune response, Fred Hutchinson Cancer Research Center's Jihoon Lee and colleagues may be able to predict the severity and risk of death after the onset of coronavirus infection (COVID-19). I showed that there is.

Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19 | Nature Biotechnology

Metabolic changes in plasma and immune cells associated with COVID-19 severity, can predict patient survival --ScienceDaily


Existing studies have shown that immune responses that vary from person to person significantly affect the course of the condition of people infected with the new coronavirus. However, although previous studies have linked metabolite measurements with COVID-19 symptoms, they have a perspective on metabolic fluctuations during the immune response, which are thought to play an important role in immunity. It was missing. Therefore, Lee et al. Tried to associate the severity with metabolites in the blood of people infected with the new coronavirus.

Lee et al. Collected a total of 374 blood samples from 198 patients immediately after the onset of COVID-19 or several days after the onset, and used a technique called

RNA sequencing to analyze gene expression. Blood samples were analyzed. As a result of associating the plasma metabolites obtained from the sample with the disease progression of the patient, the amount of mannose , which is thought to be derived from the spike protein of the new coronavirus, strongly correlates with the severity of mannose. It was found that the increase in plasma may indicate an increase in viral load or activation of the developmental pathways of proteins that make up the immune system.

In addition, other metabolites such as glucose and kynurenine were also found to correlate with changes in severity. Furthermore, since there is a negative correlation between the severity and the amount of metabolites, and because different metabolites are generated for each major immune cell, it is possible to distinguish the severity of patients by analyzing plasma metabolites. It became clear. From the above findings, Lee concludes that 'metabolic changes during the immune response can predict severity and risk of death.'

'This study provides important insights for developing more effective treatments for COVID-19. The data presented in this study will be useful to many patients,' said collaborator Jim Heath. I want. '

in Science, Posted by log1p_kr