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
Sekisui Diagnostics

Download Mobile App





New COVID-19 Testing Approach That Measures Immune Response Can Be Combined with Standard PCR Tests for Accurate Diagnosis

By LabMedica International staff writers
Posted on 08 Dec 2020
A new approach for COVID-19 testing that detects a distinct pattern of immune gene expression in infected individuals could be used as a check against possible errors generated by the standard tests that directly detect the SARS-CoV-2 virus.

Researchers from University of California, San Francisco (UCSF; San Francisco, CA, USA) and Chan Zuckerberg Biohub (San Francisco, CA, USA) have developed the new COVID-19 testing approach that measures a patient’s immune response for better diagnosis. More...
The new testing approach analyzes completely different molecules - from the person infected, rather than from the virus that infects the person – although it can be implemented using the same PCR technology on the same nasal swab samples. It could be used as a standalone test, or even combined into the same testing panels used in standard PCR tests to detect the virus. Combining the technologies could lessen the chances of false negative or false positive results, according to the researchers.

The UCSF scientists created three proof-of-concept versions of the new test - one based on readouts of gene activity from three key genes, one based on readouts from 10 genes, and one based on 27 genes. The tests independently detected COVID-19 infection in clinically confirmed cases, increasing in sensitivity with the number of genes included. The researchers aim to use one of these measures of gene activation both to flag false negative viral PCR tests, in which direct viral detection fails, and to rule out false positive results, which may arise from cross-contamination between samples in testing labs.

To determine which changes in gene activity were distinctive to SARS-CoV-2 infection the researchers first surveyed all the genetic material in swab samples from the upper respiratory tract, so that they could identify the most important and predictive indicators. The researchers examined samples from patients with respiratory symptoms who were tested for COVID-19 as a possible explanation of their illness. The tests showed many of the patients did have COVID-19, but some of them turned out to be infected with more common respiratory viruses (like the flu) or to be suffering from nonviral conditions.

With computer algorithms and a great deal of number crunching, the UCSF scientists were able to identify a distinct pattern of gene expression associated with a tamping down of specific immune responses that occurs early during SARS-CoV-2 infection. The changes differed from those seen in other viral respiratory infections or non-viral respiratory illnesses, allowing for a specific diagnosis of COVID-19. The pattern of immunosuppressive gene expression the researchers identified in COVID-19 may explain the stealthy nature of this highly transmissible virus, according to the researchers.

"Without even having to detect the virus itself, these tests to measure changes in the expression of immune-related genes can determine whether or not someone has COVID-19," said co-senior study author Chaz Langelier, MD, PhD, assistant professor in the Division of Infectious Diseases in the UCSF Department of Medicine.

"We have concluded from our work that there is an immunosuppressive effect taking place that prevents symptoms from developing early during infection despite high levels of viral replication. It's a brilliant strategy, if you're a virus," added Langelier. "Our findings of a diminished inflammatory response by the innate immune system suggest that treatments that suppress the immune system early during COVID-19 infection are unlikely to be beneficial."

Related Links:
University of California, San Francisco
Chan Zuckerberg Biohub



Gold Member
Universal Transport Solution
Puritan®UniTranz-RT
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
New
Nucleic Acid Purification Instrument
QIAsymphony Connect
Gold Member
Blood-Based Protein Biomarker Solution for Alzheimer's Disease
BG-DTi2000.
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Study design and workflow (Parankusham H, Vanderlip C, Birkenbihl C, et al. A two-stage plasma biomarker algorithm reduces amyloid PET use and the p-Tau217 gray zone. Annals of Clinical and Translational Neurology. Published online October 19, 2026. doi:10.1002/acn3.70560)

Two-Step Blood Testing Approach Reduces Uncertainty in Amyloid Assessment

Blood-based biomarkers offer a more accessible, less expensive way to detect Alzheimer’s-related brain changes than traditional methods such as amyloid-beta positron emission tomography (Aβ-PET).... Read more

Molecular Diagnostics

view channel
Image: Tumor DNA is extracted from a pathology sample, and normal DNA is extracted from the buffy coat. Both samples undergo WGS to generate the patient-specific mutational signature. At each follow-up, ctDNA extracted from plasma undergoes WGS and is analyzed using a patient-derived signature and an artificial intelligence (AI) pattern recognition algorithm. FFPE: formalin fixed, paraffin embedded. (Snuderl M, Smadbeck J, Wilkins R, et al. The Journal of Molecular Diagnostics, 2026. DOI: 10.1016/j.jmoldx.2026.07.003)

Liquid Biopsy Detects Lung Cancer Recurrence Signals Months Before Imaging

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and remains a major cause of cancer-related death. Early-stage tumors are often treated surgically, but recurrence can still occur... Read more

Immunology

view channel
Image Credit: iStock

Antibody Profiling Predicts Inflammatory Bowel Disease Years Before Diagnosis

Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, involves abnormal immune responses that cause persistent inflammation and damage in the digestive system.... Read more

Pathology

view channel
Image: HETA Quality Control identifies slide quality issues before analysis, while HETA Tumor Detect annotates tumor regions and flags slides likely to contain tumor during scanning. (Photo courtesy of Aignostics)

AI Pathology Platform Targets Workflow Delays and Molecular Test Failures

Pathology laboratories often rely on visual review of tissue slides to assess quality, identify tumors, count mitoses, and estimate tumor content. These tasks can be time-consuming and vary between readers,... Read more

Technology

view channel
Image: Signals LabGistics uses AI to turn natural-language instructions and SOPs into coordinated scientific workflows, helping connect teams, systems, and processes. (Photo courtesy of Revvity)

New AI-Powered System Aims to Streamline Laboratory and Manufacturing Workflows

Scientific laboratories supporting drug development, biotechnology, and materials research increasingly rely on coordinated digital workflows to move data, samples, and activities across teams.... Read more

Industry

view channel
Image: The acquisition of Reveal Genomics would expand Hologic’s oncology diagnostics portfolio to support treatment decisions for more women with breast cancer.

Hologic to Broaden Breast Cancer Testing Portfolio Through Reveal Genomics Acquisition

Hologic (Marlborough, MA, USA) has signed a definitive agreement to acquire Reveal Genomics (Barcelona, Spain), a precision oncology company developing genomic diagnostic tests to help personalize cancer treatment.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.