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
GLOBE SCIENTIFIC, LLC

Download Mobile App




Novel Blood Test Could Reveal Alzheimer’s Disease Biology and Risk for Progression

By LabMedica International staff writers
Posted on 20 Sep 2024

The inability to diagnose Alzheimer’s disease, the most prevalent form of dementia in the elderly, at an early stage of molecular pathology is considered a key reason why treatments fail in clinical trials. More...

Previous efforts to diagnose Alzheimer’s molecularly have focused on the central biomarkers of β-amyloid, Tau, and Neurodegeneration (A/T/N), which are measured through the analysis of proteins associated with neurodegeneration. A/T/N can be assessed in brain tissue, through in vivo brain imaging techniques, and by analyzing cerebrospinal fluid and plasma. Alzheimer’s disease is believed to be triggered by a combination of genetic and environmental risk factors. Blood-based biomarkers, such as plasma microRNAs (miRNAs)—molecules that regulate interactions between the genome and the environment and control the expression of genes governing brain functions that deteriorate in Alzheimer’s—could offer advantages in terms of cost-effectiveness, accessibility, and reduced invasiveness.

Two new papers by a research team, including investigators from Boston University (Boston, MA, USA), have demonstrated that evaluating microRNAs in blood can be used not only to diagnose mild cognitive impairment (MCI) but also, crucially, to predict the progression from MCI to dementia due to Alzheimer’s disease. Additionally, the researchers identified microRNA candidate molecular biomarkers associated with the current A/T/N Alzheimer’s biomarkers. In their study, the team analyzed miRNA expression in plasma samples from three groups of participants—those who were cognitively normal, those with mild cognitive impairment, and those with dementia due to Alzheimer’s disease. They discovered that, when combined with neuropsychological testing, plasma microRNAome evaluation could help predict which aging individuals concerned about cognitive decline are likely to develop Alzheimer’s.

Although novel therapies for Alzheimer’s disease are beginning to enter clinical care, the researchers emphasize that these treatments will only be effective if patients at risk are identified as early as possible. The researchers highlight the need for improved tools for early detection of Alzheimer’s, which are essential for developing prevention and treatment strategies for a disease that causes significant suffering and places a heavy burden on healthcare systems worldwide. These findings are published in Alzheimer’s & Dementia.

“Our papers are the result of a successful collaboration that tied the technology developed by professor Andre Fischer in Germany’s DZNE to reliably measure the levels of microRNA in human plasma, and the power of blood samples obtained from hundreds of ADNI participants participating in a simulated clinical trial taking place at about 60 medical centers across the US and Canada,” explained one of four senior authors Ivana Delalle, MD, PhD, professor of pathology & laboratory medicine at Boston University Chobanian & Avedisian School of Medicine. “Our discovery is important because, unlike the current A/T/N biomarkers, microRNAs may serve as blood molecular biomarkers years before Alzheimer’s disease manifests clinically, thus identifying the time window for effective prevention or early intervention to stop the progression of Alzheimer’s.”


Gold Member
Fully Automated Cell Density/Viability Analyzer
BioProfile FAST CDV
3-Part Differential Hematology Analyzer
Swelab Alfa Plus Sampler
New
Multilevel Whole Blood Calibrator Set
6PLUS1
New
Giardia Assay
AccuDiag Giardia
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

Hematology

view channel
Image: CitoCBC is the world first cartridge-based CBC to be granted CLIA Waived status by FDA (Photo courtesy of CytoChip)

Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results

Complete Blood Count (CBC) is one of the most commonly ordered lab tests, crucial for diagnosing diseases, monitoring therapies, and conducting routine health screenings. However, more than 90% of physician... Read more

Immunology

view channel
Image: The tip optofluidic immunoassay platform enables rapid, multiplexed antibody profiling using only 1 μL of fingertip blood (Photo courtesy of hLife, DOI:10.1016/j.hlife.2025.04.005)

POC Diagnostic Platform Performs Immune Analysis Using One Drop of Fingertip Blood

As new COVID-19 variants continue to emerge and individuals accumulate complex histories of vaccination and infection, there is an urgent need for diagnostic tools that can quickly and accurately assess... Read more

Pathology

view channel
Image: Microscopy image of invasive breast cancer cells degrading their underlying extracellular matrix (Photo courtesy of University of Turku)

Visualization Tool Illuminates Breast Cancer Cell Migration to Suggest New Treatment Avenues

Patients with breast cancer who progress from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) face a significantly worse prognosis, as metastatic disease remains incurable.... Read more

Technology

view channel
Image: The machine learning-based method delivers near-perfect survival estimates for PAC patients (Photo courtesy of Shutterstock)

AI Method Predicts Overall Survival Rate of Prostate Cancer Patients

Prostate adenocarcinoma (PAC) accounts for 99% of prostate cancer diagnoses and is the second most common cancer in men globally after skin cancer. With more than 3.3 million men in the United States diagnosed... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.