We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App





New Biomarker Can Predict COVID-19 Severity by Means of a Blood Test

By LabMedica International staff writers
Posted on 07 Dec 2021
Print article
Illustration
Illustration

Biomedical scientists have found a new marker in the blood of COVID-19 patients that furnishes insights into the course and development of the disease and could lead to better diagnoses.

Researchers at the Ludwig Maximilian University of Munich (LMU; Munich, Germany) have reported about the role of phosphatidylserine in COVID-19, a molecule normally found in cell walls that could be significant for pathophysiological mechanisms relating to the immune system and blood coagulation. And potentially it could also be suitable as a new biomarker for predicting the severity of the disease by means of a blood test.

Many people infected with SARS-CoV-2 are either asymptomatic or feel only slightly unwell. Nevertheless, the infections can produce the clinical picture of COVID-19, including inflammations and changes to blood coagulation. Moreover, doctors have observed disorders of the immune system in COVID-19 patients, with low lymphocyte counts in the blood. The LMU researchers had previously developed a test that detects phosphatidylserine in or on blood cells. In the present study, the researchers investigated blood samples from 54 patients who had COVID-19 to various degrees of severity. In addition, the researchers analyzed samples from 35 healthy and 12 recovered donors. The focus of the study was on peripheral blood mononuclear cells such as lymphocytes and monocytes.

All immune cells were analyzed using the phosphatidylserine test and separated by means of flow cytometry, a physical technique. The instrument created microscopic images of each cell simultaneously. On the basis of the image files, the researchers were able to recognize whether phosphatidylserine was present - and where it was located. This revealed that the immune cells did not carry the signal inside them. The measurements also revealed a connection between the severity of COVID-19 and phosphatidylserine. Elevated values during the active phase of COVID-19 correlated strongly with the severity of the disease and could ultimately lead to better diagnoses. The system is still designed for research laboratories, as very few hospitals have flow cytometers with imaging capabilities. Therefore, the LMU researchers now want to determine whether ordinary flow cytometers - of the kind that many hospitals have in their laboratories - are also suitable for measurement.

“Lymphocytes from the blood of COVID-19 patients were surface-loaded with fragments of blood platelets, which we were able to demonstrate based on the signal,” said Prof. Thomas Brocker, who researches at LMU’s Biomedical Center Munich. Blood platelets in turn accelerate coagulation. “And so phosphatidylserine could function as a signal transducer for dysregulated inflammatory processes or coagulation disorders in patients with COVID-19; that is to say, it could trigger typical COVID-19 changes.”

“As a marker, phosphatidylserine outperformed established lab markers for inflammatory processes in the body, for leukocytes, and for coagulation factors that are currently used for the clinical evaluation of COVID-19,” added Brocker.

Related Links:
Ludwig Maximilian University of Munich 

Gold Member
Universal Transport Solution
Puritan®UniTranz-RT
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Malondialdehyde HPLC Test
Malondialdehyde in Serum/Plasma – HPLC
New
Creatine Kinase-MB Assay
CK-MB Test

Print article

Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The HIV-1 self-testing chip will be capable of selectively detecting HIV in whole blood samples (Photo courtesy of Shutterstock)

Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples

As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.