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
ZeptoMetrix an Antylia scientific company

Download Mobile App




Blood Test Detects Alzheimer's with 97% Accuracy 10 Years Before Symptoms Emerge

By LabMedica International staff writers
Posted on 10 Mar 2023
Print article
Image: A new test has shown nearly 97% accuracy in detecting Alzheimer's disease years before symptoms arise (Photo courtesy of Pexels)
Image: A new test has shown nearly 97% accuracy in detecting Alzheimer's disease years before symptoms arise (Photo courtesy of Pexels)

The onset of Alzheimer's disease (AD) pathology can occur a decade or more before the appearance of hallmark symptoms. Now, a newly-developed blood test has the ability to detect AD-associated pathology up to 10 years before the onset of symptoms with an impressive 97% accuracy rate. The test has enormous potential to create a positive impact on effective treatments for AD. The test is minimally invasive, cost-effective, capable of diagnosing or predicting clinical decline in individuals without symptoms, and can track a patient's progress over treatment. As a result, it can effectively be used in clinical trials, as well as in frontline and community primary care settings, particularly in rural and economically disadvantaged areas.

In a recent study, researchers from Rowan University (Glassboro, NJ, USA) and Durin Technologies (Mullica Hill, NJ, USA) analyzed 328 blood samples to investigate if a test that monitors a limited number of a patient's autoantibodies can detect AD-related pathology in the pre-symptomatic, prodromal (i.e., mild cognitive impairment), and mild-moderate stages. The study revealed that the test, utilizing only eight autoantibody biomarkers, could accurately identify the presence of AD pathology throughout the progression of the disease, including in patients who had been previously deemed to have no symptoms of the disease. The application of autoantibodies as blood-based biomarkers is particularly encouraging, according to the researchers as it enables the development of a universal early detection platform for multiple diseases.

"Alzheimer's disease pathology begins a decade or more before the emergence of hallmark symptoms," explained Dr. Robert Nagele, the founder and chief scientific officer at Durin Technologies, Inc., and a professor of Geriatrics and Gerontology at Rowan-Virtua SOM. "An accurate, non-invasive blood test for early detection and monitoring of AD could bend the curve of clinical outcomes through earlier participation in clinical trials and monitoring of AD progression of patients under treatment."

"Our test correctly identified nearly 97% of participants who were diagnosed as cognitively normal at the time their samples were taken, but who progressed, within an average of 48 months, to either the mild cognitive impairment stage or more advanced Alzheimer's disease," said Dr. Cassandra DeMarshall, the study's lead investigator and Durin's director of research. "To our knowledge, this is the first blood test to accurately detect Alzheimer's-related pathology several years before either clinical symptoms or more expensive and invasive tests can identify the disease."

Related Links:
Rowan University
Durin Technologies

Gold Member
Veterinary Hematology Analyzer
Exigo H400
Verification Panels for Assay Development & QC
Seroconversion Panels
New
PSA Test
Humasis PSA Card
New
Benchtop Cooler
PCR-Cooler & PCR-Rack

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.