Unconventional T Cells in COVID-19 Patients Predicts Disease Outcome
|
By LabMedica International staff writers Posted on 17 Sep 2020 |

Image: Increased MAIT and iNKT cell activation is associated with improved outcome in severe COVID-19 patients (Photo courtesy of the University of Tours).
While most people infected with the SARS-CoV-2 virus experience relatively mild symptoms, some patients mount an aberrant inflammatory response that can damage the lungs and cause acute respiratory distress syndrome (ARDS), potentially resulting in the patient's death.
Unconventional T cells are a diverse class of immune cells that help control the response to viral infection and are commonly found in the lungs and other mucosal tissues in the body. This heterogeneous class of T cells comprises three main lineages, including mucosa-associated invariant T (MAIT), γδT, and invariant natural killer T (iNKT) cells.
Medical scientists at the University of Tours (Tours, France) examined 30 patients admitted to intensive care with severe COVID-19 and compared the immune cells in their blood and lungs to those found in healthy volunteers or patients admitted to the ICU for reasons other than COVID-19. Endotracheal aspirates (ETA) was collected from seven intubated non–COVID-19 or 20 COVID-19 patients who were under invasive mechanical ventilation.
Staining was performed using antibodies from BioLegend (San Diego, CA, USA) and Miltenyi Biotec (Bergisch Gladbach, Germany). Inflammatory mediators were measured in sera and supernatants of ETA using the Bio-Plex Pro Human cytokines screening panel (Bio-Rad, Hercules, CA, USA) in a multiplex fluorescent bead assay (Luminex Technologies, Austin, TX, USA).
The investigators reported that they found two types of unconventional T cells, known as mucosal-associated invariant T (MAIT) and invariant natural killer T (iNKT) cells, were dramatically reduced in the blood of patients with severe COVID-19. However, the number of MAIT cells increased in the patients' airways, suggesting that these cells might move from the blood to the lungs to control the response to SARS-CoV-2 infection. The MAIT and iNKT cells of COVID-19 patients appeared to be highly activated and produced distinct sets of inflammatory molecules. The team found that patients whose circulating MAIT and iNKT cells were particularly active at the time of their admittance to the ICU were less susceptible to hypoxemia (low blood oxygen levels) and were discharged sooner than patients whose MAIT and iNKT cells were less active.
Christophe Paget, PhD, a medical immunologist and senior author of the study said, “Despite this, the role of unconventional T cells in the pathophysiological process of SARS-CoV-2-driven ARDS has not yet been explored. Altogether, our findings should encourage further studies on MAIT and iNKT cells in SARS-CoV-2-induced ARDS to assess their potential as biomarkers and/or targets for immune intervention strategies.” The study was published on September 4, 2020 in the Journal of Experimental Medicine.
Related Links:
University of Tours
BioLegend
Miltenyi Biotec
Bio-Rad
Luminex Technologies
Unconventional T cells are a diverse class of immune cells that help control the response to viral infection and are commonly found in the lungs and other mucosal tissues in the body. This heterogeneous class of T cells comprises three main lineages, including mucosa-associated invariant T (MAIT), γδT, and invariant natural killer T (iNKT) cells.
Medical scientists at the University of Tours (Tours, France) examined 30 patients admitted to intensive care with severe COVID-19 and compared the immune cells in their blood and lungs to those found in healthy volunteers or patients admitted to the ICU for reasons other than COVID-19. Endotracheal aspirates (ETA) was collected from seven intubated non–COVID-19 or 20 COVID-19 patients who were under invasive mechanical ventilation.
Staining was performed using antibodies from BioLegend (San Diego, CA, USA) and Miltenyi Biotec (Bergisch Gladbach, Germany). Inflammatory mediators were measured in sera and supernatants of ETA using the Bio-Plex Pro Human cytokines screening panel (Bio-Rad, Hercules, CA, USA) in a multiplex fluorescent bead assay (Luminex Technologies, Austin, TX, USA).
The investigators reported that they found two types of unconventional T cells, known as mucosal-associated invariant T (MAIT) and invariant natural killer T (iNKT) cells, were dramatically reduced in the blood of patients with severe COVID-19. However, the number of MAIT cells increased in the patients' airways, suggesting that these cells might move from the blood to the lungs to control the response to SARS-CoV-2 infection. The MAIT and iNKT cells of COVID-19 patients appeared to be highly activated and produced distinct sets of inflammatory molecules. The team found that patients whose circulating MAIT and iNKT cells were particularly active at the time of their admittance to the ICU were less susceptible to hypoxemia (low blood oxygen levels) and were discharged sooner than patients whose MAIT and iNKT cells were less active.
Christophe Paget, PhD, a medical immunologist and senior author of the study said, “Despite this, the role of unconventional T cells in the pathophysiological process of SARS-CoV-2-driven ARDS has not yet been explored. Altogether, our findings should encourage further studies on MAIT and iNKT cells in SARS-CoV-2-induced ARDS to assess their potential as biomarkers and/or targets for immune intervention strategies.” The study was published on September 4, 2020 in the Journal of Experimental Medicine.
Related Links:
University of Tours
BioLegend
Miltenyi Biotec
Bio-Rad
Luminex Technologies
Latest Immunology News
- Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
- Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
- Blood Test Could Detect Adverse Immunotherapy Effects
- Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy
- New Test Distinguishes Vaccine-Induced False Positives from Active HIV Infection
- Gene Signature Test Predicts Response to Key Breast Cancer Treatment
- Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
- Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
- Signature Genes Predict T-Cell Expansion in Cancer Immunotherapy
- Molecular Microscope Diagnostic System Assesses Lung Transplant Rejection
- Blood Test Tracks Treatment Resistance in High-Grade Serous Ovarian Cancer
- Luminescent Probe Measures Immune Cell Activity in Real Time
- Blood-Based Immune Cell Signatures Could Guide Treatment Decisions for Critically Ill Patients
- Novel Tool Predicts Most Effective Multiple Sclerosis Medication for Patients
- Companion Diagnostic Test for CRC Patients Identifies Eligible Treatment Population
- Novel Tool Uses Deep Learning for Precision Cancer Therapy
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreMolecular Diagnostics
view channel
Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
Sepsis is difficult to diagnose accurately in patients recovering from major surgery, as infection-related symptoms often overlap with non-infectious systemic inflammatory responses. This challenge is... Read more
Next-Gen Automated ELISA System Elevates Laboratory Performance
A next-generation automated ELISA system is designed to elevate laboratory performance through advanced workflow automation, enhanced connectivity, and a modernized user experience. DYNEX Technologies... Read more
At-Home Blood Tests Accurately Detect Key Alzheimer's Biomarkers
Diagnosing Alzheimer’s disease typically relies on brain scans or spinal fluid tests, which are invasive, costly, and difficult to access outside specialist clinics. These barriers have limited large-scale... Read more
Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
Multiple sclerosis (MS) affects more than 2.8 million people worldwide, yet predicting how the disease will progress in individual patients remains difficult. Current MS classifications are based on clinical... Read moreHematology
view channel
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
Platelet Activity Blood Test in Middle Age Could Identify Early Alzheimer’s Risk
Early detection of Alzheimer’s disease remains one of the biggest unmet needs in neurology, particularly because the biological changes underlying the disorder begin decades before memory symptoms appear.... Read more
Microvesicles Measurement Could Detect Vascular Injury in Sickle Cell Disease Patients
Assessing disease severity in sickle cell disease (SCD) remains challenging, especially when trying to predict hemolysis, vascular injury, and risk of complications such as vaso-occlusive crises.... Read more
ADLM’s New Coagulation Testing Guidance to Improve Care for Patients on Blood Thinners
Direct oral anticoagulants (DOACs) are one of the most common types of blood thinners. Patients take them to prevent a host of complications that could arise from blood clotting, including stroke, deep... Read moreMicrobiology
view channel
New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
Urinary tract infections affect around 152 million people every year, making them one of the most common bacterial infections worldwide. In routine medical practice, diagnosis often relies on rapid urine... Read more
Breakthroughs in Microbial Analysis to Enhance Disease Prediction
Microorganisms shape human health, ecosystems, and the planet’s climate, yet identifying them and understanding how they are related remains a major scientific challenge. Even with modern DNA sequencing,... Read morePathology
view channel
ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
Urine drug testing plays a critical role in the emergency department, particularly for patients presenting with suspected overdose or altered mental status. Accurate and timely results can directly influence... Read more
New Age-Based Blood Test Thresholds to Catch Ovarian Cancer Earlier
Ovarian cancer affects around one in 50 women during their lifetime, with roughly 7,000 diagnoses each year in the UK. The disease is often detected late because symptoms such as bloating, abdominal pain,... Read moreTechnology
view channel
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read more
AI Predicts Colorectal Cancer Survival Using Clinical and Molecular Features
Colorectal cancer is one of the most common and deadly cancers worldwide, and accurately predicting patient survival remains a major clinical challenge. Traditional prognostic tools often rely on either... Read moreIndustry
view channel
BD and Penn Institute Collaborate to Advance Immunotherapy through Flow Cytometry
BD (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) has entered into a strategic collaboration with the Institute for Immunology and Immune Health (I3H, Philadelphia, PA, USA) at the University... Read more







