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





Blood-Based Biomarker Test Could Identify Patients at High Risk of Severe COVID-19

By LabMedica International staff writers
Posted on 08 Dec 2021
Print article
Image: Blood-Based biomarker test could identify patients at high risk of severe COVID-19 (Photo courtesy of WEHI)
Image: Blood-Based biomarker test could identify patients at high risk of severe COVID-19 (Photo courtesy of WEHI)

Researchers have discovered a biomarker that could assist in the early identification of people at high risk of developing severe COVID-19.

Led by computational researchers from The Walter and Eliza Hall Institute of Medical Research (WEHI; Parkville, Australia), the study used advanced spatial transcriptomic techniques to screen for genes associated with excessive inflammation in the lungs, a key indicator of severe COVID-19.

The research team collected samples from 30 patients across three groups: 10 patients with COVID-19, 10 with H1N1 influenza and 10 uninfected. The research team was able to generate a gene transcriptional landscape showing how different parts of the lung are impacted in each scenario. The IFI27 gene, known to be activated by the immune system in response to viruses, was found to predict disease progression and is strongly associated with disease severity. The discovery would pave the way for a diagnostic test to be developed, so patients who were at high-risk of severe COVID-19 could be triaged and treated early.

The findings have the potential to revolutionize the way patients are treated and alleviate pressure on the healthcare system. The researchers are now participating in an international effort to translate this research into a diagnostic test to identify patients at high-risk of severe COVID-19 during the early stages of their infection, to better target health-care intervention and prevent ICU admissions associated with severe disease.

“Only a limited number of biomarkers were found to be significantly upregulated in the lungs of COVID-19 patients, compared to patients with influenza. The presence of the IFI27 gene was a reliable prediction of severe lung inflammation,” said Dr. Chin Wee Tan. “Our multi-cohort follow up study, has shown that expression of the IFI27 biomarker in COVID-19 patients can predict disease progression and is strongly associated with disease severity."

“When a patient presents to a clinic, we could assess how severe their symptoms will become by measuring the IF127 levels in the blood - regardless of the symptoms they’re presenting,” added Associate Professor Melissa Davis.

Related Links:
WEHI 

Gold Member
Universal Transport Solution
Puritan®UniTranz-RT
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Respiratory Bacterial Panel
Real Respiratory Bacterial Panel 2
New
Troponin I Test
Quidel Triage Troponin I Test

Print article

Channels

Molecular Diagnostics

view channel
Image: The study investigated D-dimer testing in patients who are at higher risk of pulmonary embolism (Photo courtesy of Adobe Stock)

D-Dimer Testing Can Identify Patients at Higher Risk of Pulmonary Embolism

Pulmonary embolism (PE) is a commonly suspected condition in emergency departments (EDs) and can be life-threatening if not diagnosed correctly. Achieving an accurate diagnosis is vital for providing effective... Read more

Immunology

view channel
Image: The findings were based on patients from the ADAURA clinical trial of the targeted therapy osimertinib for patients with NSCLC with EGFR-activated mutations (Photo courtesy of YSM Multimedia Team)

Post-Treatment Blood Test Could Inform Future Cancer Therapy Decisions

In the ongoing advancement of personalized medicine, a new study has provided evidence supporting the use of a tool that detects cancer-derived molecules in the blood of lung cancer patients years after... Read more

Microbiology

view channel
Image: Schematic representation illustrating the key findings of the study (Photo courtesy of UNIST)

Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours

Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.