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
Sign In
Advertise with Us

Download Mobile App





Machine Learning Model Uncovers Genetic Predisposition to Severe COVID-19

By HospiMedica International staff writers
Posted on 24 Feb 2021
Print article
Image: The risk score suggested by the researchers (vertical axis) is considerably higher in the group of patients suffering severe COVID-19 (sample of patients from Moscow) (Photo courtesy of HSE University)
Image: The risk score suggested by the researchers (vertical axis) is considerably higher in the group of patients suffering severe COVID-19 (sample of patients from Moscow) (Photo courtesy of HSE University)
Researchers at HSE University (Moscow, Russia) have become the first in the world to discover genetic predisposition to severe COVID-19 using a machine learning model.

T-cell immunity is one of the key mechanisms used by the human body to fight virus infections. The staging ground for cell immunity development is the presentation of virus peptides on the surface of infected cells. This is followed by activation of T lymphocytes, which start to kill the infected cells.

The ability to successfully present virus peptides is largely determined by genetics. In human cells, human leukocyte antigen class I (HLA-I) molecules are responsible for this presentation. The set of six such molecules is unique in every human and is inherited from an individual's parents. In simple terms, if the set of alleles detects the virus well, then the immune cells will detect and destroy the infected cells fast; if a person has a set that is bad at such detection, a more severe case of disease is more likely to be observed.

The researchers studied the interconnection between HLA-I genotype and the severity of COVID-19. Using machine learning, they built a model that provides an integral assessment of the possible power of T-cell immune response to COVID-19: if the set of HLA-I alleles allows for effective presentation of the SARS-CoV-2 virus peptides, those individuals received low risk score, while people with lower presentation capability received higher risk scores (in the range from 0 to 100). To validate the model, genotypes of over 100 patients who had suffered from COVID-19 and over 400 healthy people (the control group) were analyzed. It turned out that the modeled risk score is highly effective in predicting the severity of COVID-19.

In addition to analyzing the Moscow population, the researchers used their model on a sample of patients from Madrid, Spain. The high precision of prediction was confirmed on this independent sample as well: the risk score of patients suffering severe COVID-19 was significantly higher than in patients with moderate and mild cases of the disease.

“In addition to the discovered correlations between the genotype and COVID-19 severity, the suggested approach also helps to evaluate how a certain COVID-19 mutation can affect the development of T-cell immunity to the virus. For example, we will be able to detect groups of patients for whom infection with new strains of SARS-CoV-2 can lead to more severe forms of the disease,” said Alexander Tonevitsky, a researcher from the HSE Faculty of Biology and Biotechnology.

Related Links:
HSE University

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
12-Channel ECG
CM1200B
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Physician Scale
Apex Digital

Print article

Channels

Critical Care

view channel
Image: Researchers have developed a novel risk score for cardiovascular complications after bone marrow transplant (Photo courtesy of 123RF)

Novel Tool Predicts Cardiovascular Risks after Bone Marrow Transplantation

Every year, thousands of people undergo bone marrow transplants to potentially cure serious diseases like leukemia, lymphoma, and immune deficiency disorders. While these transplants can be lifesaving,... Read more

Surgical Techniques

view channel
Image: The Early Bird Bleed Monitoring System provides visual and audible indicators of the onset and progression of bleeding events (Photo courtesy of Saranas)

Novel Technology Monitors and Lowers Bleeding Complications in Patients Undergoing Heart Procedures

Bleeding complications at the femoral access site can significantly hamper recovery, affecting the success of procedures, patient satisfaction, and overall healthcare costs. It is crucial for surgeons... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.