Triple Antibody Test for COVID-19 Provides Laboratory-Standard Results in Just Seven Minutes
|
By HospiMedica International staff writers Posted on 10 Jul 2020 |
|
Image: Triple Antibody Test for COVID-19 Provides Laboratory-Standard Results in Just Seven Minutes (Photo courtesy of Attomarker Ltd.)
A new triple antibody test detects antibodies to three different COVID-19 proteins in seven minutes at the PoC, giving a more powerful profile of the clinically relevant biomarkers than other currently available COVID-19 tests.
The next-generation test has been developed by Attomarker Ltd. (Devon, UK), a spin-out company from the University of Exeter. Attomarker’s technology uses a multiplex platform, which means that it tests for multiple clinically relevant biomarkers against the SARS-CoV-2 virus simultaneously: Attomarker tests for three virus proteins (Spike 1, Spike 2 & N) and three classes of antibodies (IgM, IgG and IgA), giving a more powerful profile of the patient’s immune response to COVID-19. This could help validate a COVID-19 vaccine when a viable candidate completes development.
Further testing of the multiplex technology is currently underway, trialling a combined COVID-19/flu antibody test in order to help healthcare professionals discriminate between the two infections. Attomarker’s technology is now being further developed into a miniaturized hand-held device, docked to a smartphone, to provide the same quantitative accuracy in the community at point-of-care, including care homes, and pharmacies.
The triple antibody test has been approved by the Medicines and Healthcare products Regulatory Agency (MHRA) for use in the UK, following positive results from an initial patient study in which it detected antibodies in a real cohort of recovering patients with a sensitivity of 96%, 14 days after the onset of symptoms.
“This technology tests for antibodies against three viral proteins, two spikes and the nucleocapsid, as well as three classes of antibody, showing quantitative results,” said Professor Sir Robert Lechler, Senior Vice President/Provost (Health) Kings College London. “These differentiators will be key to beginning the next phase of COVID-19 testing urgently needed in the UK, equipping healthcare professionals initially with the data they need to better manage the epidemic.”
“This is the next generation of antibody tests, giving rapid laboratory level results on three classes of antibody in seven minutes and all at point of care. It is another success story for British universities and British science in the global battle against COVID-19,” said Professor Andrew Shaw, CEO & Founder of Attomarker and Associate Professor of Physical Chemistry at the University of Exeter.
Related Links:
Attomarker Ltd.
The next-generation test has been developed by Attomarker Ltd. (Devon, UK), a spin-out company from the University of Exeter. Attomarker’s technology uses a multiplex platform, which means that it tests for multiple clinically relevant biomarkers against the SARS-CoV-2 virus simultaneously: Attomarker tests for three virus proteins (Spike 1, Spike 2 & N) and three classes of antibodies (IgM, IgG and IgA), giving a more powerful profile of the patient’s immune response to COVID-19. This could help validate a COVID-19 vaccine when a viable candidate completes development.
Further testing of the multiplex technology is currently underway, trialling a combined COVID-19/flu antibody test in order to help healthcare professionals discriminate between the two infections. Attomarker’s technology is now being further developed into a miniaturized hand-held device, docked to a smartphone, to provide the same quantitative accuracy in the community at point-of-care, including care homes, and pharmacies.
The triple antibody test has been approved by the Medicines and Healthcare products Regulatory Agency (MHRA) for use in the UK, following positive results from an initial patient study in which it detected antibodies in a real cohort of recovering patients with a sensitivity of 96%, 14 days after the onset of symptoms.
“This technology tests for antibodies against three viral proteins, two spikes and the nucleocapsid, as well as three classes of antibody, showing quantitative results,” said Professor Sir Robert Lechler, Senior Vice President/Provost (Health) Kings College London. “These differentiators will be key to beginning the next phase of COVID-19 testing urgently needed in the UK, equipping healthcare professionals initially with the data they need to better manage the epidemic.”
“This is the next generation of antibody tests, giving rapid laboratory level results on three classes of antibody in seven minutes and all at point of care. It is another success story for British universities and British science in the global battle against COVID-19,” said Professor Andrew Shaw, CEO & Founder of Attomarker and Associate Professor of Physical Chemistry at the University of Exeter.
Related Links:
Attomarker Ltd.
New
Gold Member
Handheld Blood Glucose Analyzer
STAT-Site
New
Multi-Chamber Washer-Disinfector
WD 390
New
Immobilization System
Cranial 4Pi Immobilization
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read more
Critical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read more
Surgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read more
Patient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more
Health IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read more
Business
view channel
GE HealthCare Leads Major European Initiative to Advance Cardio-Oncology Care
Cardiovascular complications are increasingly recognized among people undergoing or recovering from cancer treatment, driven by pre‑existing disease and the cardiotoxic effects of chemotherapy, radiotherapy,... Read more
