Covid-19: scientists discover clues in the metabolism to predict the severity of a patient

After more than two years living with the Covid-19we have more and more data to combat it in a better way, such as the discovery made in Spain about a correlation between certain metabolic processes and the severity of the condition that a patient could present.

A study of National Microbiology Center of the Carlos III Health Institute (CNM-ISCIII) in Spain found that the immune response to SARS-CoV-2 infection generates different specific metabolic alterations for different Covid frames.

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Metabolism is the mechanisms by which cells extract energy from nutrients to carry out their processes within the organism.

According to the study, published in the journal Frontiers in immunologyidentifying these alterations to create metabolic profiles could predict how severe the disease might become in each patient.

To carry out the research, the metabolomic profiles and inflammatory markers in the plasma of 123 patients with Covid-19 in different degrees of severityfrom asymptomatic to moderate and severe cases.

“The metabolic profile of patients with Covid-19 at the beginning of the disease can be a tool to unravel the molecular pathogenesis of SARS-CoV-2 and improve knowledge and its clinical management,” they commented. Maria Angeles Jimenez Sousa Y Amanda Fernandez Rodriguezwho lead the team that performed the analysis.

In particular, the study found that metabolic processes related to amino acids and nitrogen, among others, mark different patterns in the evolution of the disease, and one of these profiles of metabolic dysregulation is associated with a severe disease.

They added that this specific metabolic profile associated with severe disease is strongly influenced by the sex of the patient, which provides new evidence of the different response to this disease between men and women.

The team led by Jiménez and Fernández had previously carried out two studies in which they identified microRNAs and coagulation proteins as other early markers to determine the clinical evolution of Covid-19.

With information from EFE

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