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




Microfluidic Chip-Based Device to Measure Viral Immunity

By LabMedica International staff writers
Posted on 05 Dec 2024
Print article
Image: Concept for the device. Memory B cells able to bind influenza virus remain stuck to channels despite shear forces (Photo courtesy of Steven George/UC Davis)
Image: Concept for the device. Memory B cells able to bind influenza virus remain stuck to channels despite shear forces (Photo courtesy of Steven George/UC Davis)

Each winter, a new variant of influenza emerges, posing a challenge for immunity. People who have previously been infected or vaccinated against the flu may have some level of protection, but how well their immune system "remembers" the previous strain and reacts to the new one can vary. Currently, there is no reliable way to measure this immune “memory.” Now, new research is working to solve this issue with a device designed to assess immune memory in the blood.

When exposed to a virus, white blood cells known as B-cells activate and differentiate. Some of these B-cells become plasma cells that quickly produce antibodies to fight off the infection, while others turn into memory B-cells, remaining dormant until the same or a similar virus reappears. If the virus returns, memory B-cells can swiftly recognize it and produce antibodies to combat it. Presently, measuring circulating antibodies produced by plasma cells is possible, but antibody levels decline over time. It's far more challenging to assess the presence and effectiveness of memory B-cells, especially against new variants of the same virus. In a new project funded by the NIH, researchers from the University of California, Davis (Davis, CA, USA) and Johns Hopkins Bloomberg School of Public Health (Baltimore, MD, USA) have developed a prototype device that measures memory B-cells by testing how well they can adhere to a surface while recognizing the virus under shear flow. This method, called Shear Activated Cell Sorting (SACS), is at the core of their approach.

The device works by using a microfluidic chip with tiny channels. The base of the channel is coated with the influenza virus. As white blood cells flow through these channels, memory B-cells that recognize viral proteins (antigens) will attach to the surface. By adjusting the flow rate, researchers can measure how strongly the cells adhere. As the flow rate increases, shear forces are applied to the cells, pulling them off the surface. By tracking how many cells adhere or are washed away at different flow rates, researchers can gauge their binding affinity, i.e., how well the memory cells stick to the virus. This data allows the scientists to compare how well the cells bind to the original virus they were exposed to and a new variant. The ultimate goal of this device is to provide public health labs with a tool to measure immunity to new flu variants in populations, aiding in public health decision-making. Additionally, this technology could be adapted to assess immunity against SARS-CoV-2 and other viruses.

“There’s no way to assess if the immune system is prepared for the next mutant flu virus, so we need a new vaccine every year,” said Steven George, professor of biomedical engineering at UC Davis and co-principal investigator on the grant. “We’re trying to figure out if you have white blood cells that can respond quickly to a new variant.”

New
Gold Member
ZIKA Virus Test
ZIKA ELISA IgG
Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
New
Moxifloxacin Resistance Assay
Allplex MG & MoxiR Assay
New
Echinococcus Granulosus Assay
Echinococcus Granulosus IgG ELISA

Print article

Channels

Microbiology

view channel
Image: Genetic testing can determine which drugs will work for patients with C. auris (Photo courtesy of Shutterstock)

Genetic Testing Could Improve Treatment for Virulent Multidrug-Resistant Fungus Candida Auris

Candida auris (C. auris), a multidrug-resistant yeast responsible for severe, life-threatening infections, was first identified in 2009. Since its discovery, it has spread globally, causing significant... Read more

Pathology

view channel
Image: The unique AI tool predicts cancer prognoses and responses to treatment (Photo courtesy of Shutterstock)

AI Tool Combines Data from Medical Images with Text to Predict Cancer Prognoses

The integration of visual data (such as microscopic and X-ray images, CT and MRI scans) with textual information (like exam notes and communications between doctors of different specialties) is a crucial... Read more

Technology

view channel
Image: Human tear film protein sampling methods (Photo courtesy of Clinical Proteomics. 2024 Mar 13;21:23. doi: 10.1186/s12014-024-09475-8)

New Lens Method Analyzes Tears for Early Disease Detection

Bodily fluids, including tears and saliva, carry proteins that are released from different parts of the body. The presence of specific proteins in these biofluids can be a sign of health issues.... Read more

Industry

view channel
Image: The investment is in line with Danaher’s aim to accelerate the transition to precision medicine with AI-enabled diagnostics

Danaher Partners with Healthcare AI Company Innovaccer on Novel Digital and Diagnostic Solutions

Danaher Diagnostics LLC and Danaher Ventures LLC, two subsidiaries of Danaher Corporation (Washington, DC, USA), has formed an investment partnership with healthcare artificial intelligence (AI) company... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.