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




Degree of Amyloid-Beta Misfolding Is Predictor of Alzheimer’s Disease Risk

By LabMedica International staff writers
Posted on 28 Oct 2019
Measurement of misfolded Abeta (amyloid-beta) protein in blood plasma was shown to be a strong, specific risk prediction marker for clinical Alzheimer’s disease even many years before clinical diagnosis.

Since Alzheimer's disease (AD) has a long silent phase between the onset of the molecular defects that cause the disease and the appearance of diagnostically specific symptoms, identifying high-risk individuals is critical. More...
In this regard, investigators at the German Cancer Research Center (Heidelberg, Germany) appraised the ability of Abeta misfolding in blood plasma, APOE4 status, and dementia risk factors to predict diagnosis of AD.

For this study, the investigators evaluated the initial blood samples of 150 ESTHER participants in whom dementia was subsequently diagnosed during the 14-year follow-up period. ESTHER was an epidemiologic study assessing chances of prevention and early detection of various chronic diseases including cancer among older adults.The samples were compared with those of 620 randomly selected control participants not known to have been diagnosed with dementia who correlated with the dementia participants in terms of age, sex, and level of education. In particular, associations between Abeta misfolding, APOE4, and other predictors with clinical AD, vascular dementia, and mixed dementia diagnoses were assessed.

Changes in Abeta concentration were determined using an immuno-infrared sensor, which measured the ratio of misfolded to normally folded Abeta. Misfolded proteins tended to aggregate in amyloid plaques, while healthy structures did not. The two structures absorbed infrared light at different frequencies, which enabled determination of the ratio of healthy to pathological Abeta in blood plasma samples.

Results revealed that Abeta misfolding was associated with 23-fold increased odds of clinical AD diagnosis within 14 years. With the exception of the APOE4 status, which showed a 2.4 times higher risk in those people who later went on to develop Alzheimer's disease, none of the factors related to pre-existing diseases (diabetes, high blood pressure, depression) or lifestyle factors (bodyweight, level of education) correlated with the risk of disease.

"Everyone is now pinning their hopes on using new treatment approaches during this symptom-free early stage of disease to take preventive steps. In order to conduct studies to test these approaches, we need to identify people who have a particularly high risk of developing Alzheimer's disease," said senior author Dr. Hermann Brenner, professor of clinical epidemiology and aging research at the German Cancer Research Center.

The Abeta study was published in the October 11, 2019, online edition of the journal Alzheimer's & Dementia.

Related Links:
German Cancer Research Center


Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
High-Density Lipoprotein Containing Cholesterol Assay
HDL-c direct FS
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: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... 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: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... 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 © 2000-2026 Globetech Media. All rights reserved.