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Sunday, 27 July 2025
Medical News

Protein signatures may help predict malaria severity and guide treatment

Protein signatures may help predict malaria severity and guide treatment

Researchers at the Karolinska Institute have identified over 250 proteins that are strongly affected by malaria, which can help predict the severity of the disease and thus enable rapid treatment for the most important patients.

Study published in journal ImmunityAfter returning from tropical regions, Malaria’s diagnosis was held on 72 adult passengers at Karolinska University Hospital.

By analyzing blood samples from these individuals, which were followed for a year, researchers were able to identify around 700 proteins that were converted during the infection, of over 250, more than 250 were strongly affected. In this way, researchers were able to map protein in the blood, which made it possible for group patients according to the severity of the disease.

“Malaria can quickly be fatal, but it is difficult to predict in an early stage which patients are at risk of deteriorating. Our results show how a set of proteins can help patients with high -risk patients to identify more quickly and enable more effective treatment,” Ana Freint said, “the same institution.

Through data-powered analysis, researchers were capable of connecting proteins to specific immune cells and identifying organs that produce protein.

In this study, we are able to measure such a large number of proteins with high precision in the blood of malaria patients for the first time. It provides a completely new and detailed insight into the response of the immune system for infection. ,


Maximilian Julius Lutyenback, First Author, PostDoctorl Researcher, Department of Medicine, Solana, Karolinska Institute

Researchers emphasize that further studies are required to validate these findings in big patient groups and detect potential clinical applications of protein signatures.

Source:

Journal reference:

Motso, A. Et al(2025). The GRK-Pakistani adrenergic agonist for the treatment of type 2 diabetes and obesity. Chamber, doi.org/10.1016/j.cell.2025.05.042,

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