Mast Cell Activation Test Diagnoses Allergic Diseases
|
By LabMedica International staff writers Posted on 16 May 2018 |

Image: Mast cells obtained from the human bone marrow; May-Grünwald/Giemsa stain of a resting human mast cell and a mast cell following activation-induced degranulation. Note the loss of granule staining (Photo courtesy of University Hospital of Bonn).
Peanut allergies are among the most common food allergies in children. Currently, doctors diagnose peanut allergy using a skin-prick test or immunoglobulin E (IgE) test, but this may result in over-diagnosis or false-positives and it cannot differentiate between sensitivity and true food allergy.
When skin-prick and IgE test results are unclear, allergists rely on an oral food challenge (OFC), which consists of feeding peanut in incrementally larger doses to a patient in a highly controlled setting in hospital to confirm allergy to the food. While the test is the gold standard for diagnosing food allergies, there is risk of causing severe allergic reactions.
Scientists at the University of Manchester (Manchester, UK) and their colleagues have developed a new laboratory test to diagnose peanut allergy. The team used blood samples from 174 children participating in allergy testing, 73 peanut allergic and 101 peanut-tolerant, the scientists added peanut protein to mast cells to screen for IgE-mediated activation. Levels of total IgE, peanut-specific IgE, and IgE to the recombinant allergen components were measured by using ImmunoCAP. Skin prick tests (SPTs) were undertaken according to national guidelines by using lancets and commercial peanut extract, with 1% histamine as a positive control. Images of mast cell activation were collected on an Olympus BX51 upright microscope.
The scientists found that human blood-derived mast cells (MCs) sensitized with sera from patients with peanut, grass pollen, and Hymenoptera (wasp venom) allergy demonstrated allergen-specific and dose-dependent degranulation, as determined based on both expression of surface activation markers (CD63 and CD107a) and functional assays (prostaglandin D2 and β-hexosaminidase release). In this cohort of peanut-sensitized subjects, the mast cell activation test (MAT) was found to have superior discrimination performance compared with other testing modalities, including component-resolved diagnostics and basophil activation tests. They identified five clusters or patterns of reactivity in the resulting dose-response curves, which at preliminary analysis corresponded to the reaction phenotypes seen at challenge.
The authors concluded that the MAT is a robust tool that can confer superior diagnostic performance compared with existing allergy diagnostics and might be useful to explore differences in effector cell function between basophils and MCs during allergic reactions. The study was published on March 5, 2018, in The Journal of Allergy and Clinical Immunology.
Related Links:
University of Manchester
When skin-prick and IgE test results are unclear, allergists rely on an oral food challenge (OFC), which consists of feeding peanut in incrementally larger doses to a patient in a highly controlled setting in hospital to confirm allergy to the food. While the test is the gold standard for diagnosing food allergies, there is risk of causing severe allergic reactions.
Scientists at the University of Manchester (Manchester, UK) and their colleagues have developed a new laboratory test to diagnose peanut allergy. The team used blood samples from 174 children participating in allergy testing, 73 peanut allergic and 101 peanut-tolerant, the scientists added peanut protein to mast cells to screen for IgE-mediated activation. Levels of total IgE, peanut-specific IgE, and IgE to the recombinant allergen components were measured by using ImmunoCAP. Skin prick tests (SPTs) were undertaken according to national guidelines by using lancets and commercial peanut extract, with 1% histamine as a positive control. Images of mast cell activation were collected on an Olympus BX51 upright microscope.
The scientists found that human blood-derived mast cells (MCs) sensitized with sera from patients with peanut, grass pollen, and Hymenoptera (wasp venom) allergy demonstrated allergen-specific and dose-dependent degranulation, as determined based on both expression of surface activation markers (CD63 and CD107a) and functional assays (prostaglandin D2 and β-hexosaminidase release). In this cohort of peanut-sensitized subjects, the mast cell activation test (MAT) was found to have superior discrimination performance compared with other testing modalities, including component-resolved diagnostics and basophil activation tests. They identified five clusters or patterns of reactivity in the resulting dose-response curves, which at preliminary analysis corresponded to the reaction phenotypes seen at challenge.
The authors concluded that the MAT is a robust tool that can confer superior diagnostic performance compared with existing allergy diagnostics and might be useful to explore differences in effector cell function between basophils and MCs during allergic reactions. The study was published on March 5, 2018, in The Journal of Allergy and Clinical Immunology.
Related Links:
University of Manchester
Latest Immunology News
- 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
- Companion Diagnostic Test Identifies HER2-Ultralow Breast Cancer and Biliary Tract Cancer Patients
- Novel Multiplex Assay Supports Diagnosis of Autoimmune Vasculitis
- Blood Test Predicts Immunotherapy Efficacy in Triple-Negative Breast Cancer
- Simple Genetic Testing Could Predict Treatment Success in Multiple Sclerosis Patients
- Novel Gene Signature Predicts Immunotherapy Response in Advanced Kidney Cancers
Channels
Clinical Chemistry
view channel
Chemical Imaging Probe Could Track and Treat Prostate Cancer
Prostate cancer remains a leading cause of illness and death among men, with many patients eventually developing resistance to standard hormone-blocking therapies. These drugs often lose effectiveness... Read more
Mismatch Between Two Common Kidney Function Tests Indicates Serious Health Problems
Creatinine has long been the standard for measuring kidney filtration, while cystatin C — a protein produced by all human cells — has been recommended as a complementary marker because it is influenced... Read moreMolecular Diagnostics
view channel
Blood Protein Profiles Predict Mortality Risk for Earlier Medical Intervention
Elevated levels of specific proteins in the blood can signal increased risk of mortality, according to new evidence showing that five proteins involved in cancer, inflammation, and cell regulation strongly... Read more
First Of Its Kind Blood Test Detects Gastric Cancer in Asymptomatic Patients
Each year, over 1 million people worldwide are diagnosed with gastric (stomach) cancer, and over 800,000 people die of the disease. It is among the top 5 deadliest cancers worldwide for both men and women.... Read moreHematology
view channel
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
Rapid Assay Identifies Bloodstream Infection Pathogens Directly from Patient Samples
Bloodstream infections in sepsis progress quickly and demand rapid, precise diagnosis. Current blood-culture methods often take one to five days to identify the pathogen, leaving clinicians to treat blindly... Read more
Blood-Based Molecular Signatures to Enable Rapid EPTB Diagnosis
Extrapulmonary tuberculosis (EPTB) remains difficult to diagnose and treat because it spreads beyond the lungs and lacks easily accessible biomarkers. Despite TB infecting 10 million people yearly, the... Read more
15-Minute Blood Test Diagnoses Life-Threatening Infections in Children
Distinguishing minor childhood illnesses from potentially life-threatening infections such as sepsis or meningitis remains a major challenge in emergency care. Traditional tests can take hours, leaving... Read more
High-Throughput Enteric Panels Detect Multiple GI Bacterial Infections from Single Stool Swab Sample
Gastrointestinal (GI) infections are among the most common causes of illness worldwide, leading to over 1.7 million deaths annually and placing a heavy burden on healthcare systems. Conventional diagnostic... Read morePathology
view channel
AI Tool Rapidly Analyzes Complex Cancer Images for Personalized Treatment
Complex digital biopsy images that typically take an expert pathologist up to 20 minutes to assess can now be analyzed in about one minute using a new artificial intelligence (AI) tool. The technology... Read more
Diagnostic Technology Performs Rapid Biofluid Analysis Using Single Droplet
Diagnosing disease typically requires milliliters of blood drawn at clinics, depending on needles, laboratory infrastructure, and trained personnel. This process is often painful, resource-intensive, and... Read moreTechnology
view channel
AI Saliva Sensor Enables Early Detection of Head and Neck Cancer
Early detection of head and neck cancer remains difficult because the disease produces few or no symptoms in its earliest stages, and lesions often lie deep within the head or neck, where biopsy or endoscopy... Read more
AI-Powered Biosensor Technology to Enable Breath Test for Lung Cancer Detection
Detecting lung cancer early remains one of the biggest challenges in oncology, largely because current tools are invasive, expensive, or unable to identify the disease in its earliest phases.... Read moreIndustry
view channel
Abbott Acquires Cancer-Screening Company Exact Sciences
Abbott (Abbott Park, IL, USA) has entered into a definitive agreement to acquire Exact Sciences (Madison, WI, USA), enabling it to enter and lead in fast-growing cancer diagnostics segments.... Read more








