Blood Test Identifies Key Alzheimer's Marker
|
By LabMedica International staff writers Posted on 02 Aug 2017 |

Image: Histopathology of an immunostained diffuse amyloid beta plaque in a brain sample from a patient with Alzheimer’s disease (Photo courtesy of Dr. Dimitri P. Agamanolis, MD).
Decades before people with Alzheimer's disease develop memory loss and confusion, their brains become dotted with plaques made of a sticky protein, called amyloid beta that is thought to contribute to the disease and its progression.
Currently, the only way to detect amyloid beta in the brain is via positron emission tomography (PET) scanning, which is expensive and not widely available, or a spinal tap, which is invasive and requires a specialized medical procedure.
Scientists at the Washington University School of Medicine (St. Louis, MO, USA) studied 41 people ages 60 and older. Twenty-three were amyloid-positive, meaning they had signs of cognitive impairment. PET scans or spinal taps in these patients also had detected the presence of amyloid plaques in the brain or amyloid alterations in the cerebrospinal fluid. They also measured amyloid subtypes in 18 people who had no buildup of amyloid in the brain.
The team measured blood levels of three amyloid subtypes: amyloid beta 38, amyloid beta 40, and amyloid beta 42 using highly precise measurement by mass spectrometry to see if any correlated with levels of amyloid in the brain. To measure amyloid levels, production and clearance over time, they drew 20 blood samples from each person over a 24-hour period.
Amyloid beta (Aβ) isoforms have a half-life of approximately three hours in plasma. Aβ38 demonstrated faster turnover kinetics compared with Aβ40 and Aβ42. Faster fractional turnover of Aβ42 relative to Aβ40 and lower Aβ42 and Aβ42/Aβ40 concentrations in amyloid-positive participants were observed. They found that levels of Aβ42 relative to Aβ40 were consistently 10% to 15% lower in the people with amyloid plaques. By averaging the ratio of Aβ42 to Aβ40 over each individual's 20 samples, the scientists could classify people accurately as amyloid-positive or amyloid -negative 89% of the time. On average, any single time point was also about 86% accurate.
Randall J. Bateman, MD, a Distinguished Professor of Neurology and the study's senior author said, “Our results demonstrate that this amyloid beta blood test can detect if amyloid has begun accumulating in the brain. This is exciting because it could be the basis for a rapid and inexpensive blood screening test to identify people at high risk of developing Alzheimer's disease.” The study was published on July 19, 2017, in journal Alzheimer's and Dementia.
Related Links:
Washington University School of Medicine
Currently, the only way to detect amyloid beta in the brain is via positron emission tomography (PET) scanning, which is expensive and not widely available, or a spinal tap, which is invasive and requires a specialized medical procedure.
Scientists at the Washington University School of Medicine (St. Louis, MO, USA) studied 41 people ages 60 and older. Twenty-three were amyloid-positive, meaning they had signs of cognitive impairment. PET scans or spinal taps in these patients also had detected the presence of amyloid plaques in the brain or amyloid alterations in the cerebrospinal fluid. They also measured amyloid subtypes in 18 people who had no buildup of amyloid in the brain.
The team measured blood levels of three amyloid subtypes: amyloid beta 38, amyloid beta 40, and amyloid beta 42 using highly precise measurement by mass spectrometry to see if any correlated with levels of amyloid in the brain. To measure amyloid levels, production and clearance over time, they drew 20 blood samples from each person over a 24-hour period.
Amyloid beta (Aβ) isoforms have a half-life of approximately three hours in plasma. Aβ38 demonstrated faster turnover kinetics compared with Aβ40 and Aβ42. Faster fractional turnover of Aβ42 relative to Aβ40 and lower Aβ42 and Aβ42/Aβ40 concentrations in amyloid-positive participants were observed. They found that levels of Aβ42 relative to Aβ40 were consistently 10% to 15% lower in the people with amyloid plaques. By averaging the ratio of Aβ42 to Aβ40 over each individual's 20 samples, the scientists could classify people accurately as amyloid-positive or amyloid -negative 89% of the time. On average, any single time point was also about 86% accurate.
Randall J. Bateman, MD, a Distinguished Professor of Neurology and the study's senior author said, “Our results demonstrate that this amyloid beta blood test can detect if amyloid has begun accumulating in the brain. This is exciting because it could be the basis for a rapid and inexpensive blood screening test to identify people at high risk of developing Alzheimer's disease.” The study was published on July 19, 2017, in journal Alzheimer's and Dementia.
Related Links:
Washington University School of Medicine
Latest Pathology News
- Roche Launches Automated Test to Support Mesothelioma Differential Diagnosis
- AI Pathology Approach Closely Aligns With Breast Cancer Genomic Risk Classification
- Digital Pathology Test Stratifies Recurrence Risk in Early Breast Cancer
- AI Pathology Tool Predicts DNA Repair Deficiency in High-Grade Serous Ovarian Cancer
- AI Tissue Analysis May Help Identify Missed Precancerous Colon Polyps
- AI Pre-Screening Helps Identify Lung Cancer Cases for Additional Biomarker Testing
- AI Pathology Platform Targets Workflow Delays and Molecular Test Failures
- Updated Digital Pathology Platform Expands AI Integration for Cancer Diagnosis
- Molecular Testing Refines Barrett’s Esophagus Progression Risk Beyond Biopsy Findings
- AI Histopathology Tool Distinguishes Ewing Sarcoma for Diagnosis
- Rapid Mass Spectrometry Test May Aid Glioma Margin Decisions
- Genomic Classifier Predicts Benefit From Adding Hormone Therapy to Salvage Prostate Radiation
- Multimodal AI Supports Prostate Cancer Risk Assessment Across Diverse Cohorts
- New AI Model Maps Where Glioblastoma Could Return After Surgery
- Simple Test Could Reduce the Need for Invasive Uterine Cancer Checks
- Tumor Blood Vessel Features May Help Predict Colorectal Cancer Survival
Channels
Molecular Diagnostics
view channel
Tumor and Immune Biomarkers Linked to Treatment Response in T-Cell Lymphoma
T-follicular helper cell lymphoma (TFHL) is a subtype of peripheral T-cell lymphoma associated with poor prognosis and limited treatment options after relapse. Its molecular abnormalities include frequent... Read more
Blood MRD Testing Aids Risk Analysis in Bladder and Other Cancers
Natera (Austin, TX, USA) presented findings from 25 abstracts, including nine oral presentations, at the ESMO Congress 2026 in Madrid. The research examined circulating tumor DNA (ctDNA) testing for molecular... Read moreHematology
view channel
Genetic Testing Offers Opportunities for Earlier Blood Disorder Carrier Identification
Inherited hemoglobin disorders can affect oxygen transport, yet individuals who carry only a trait may remain unaware of their status. People with sickle cell trait or beta-thalassemia trait often have... Read more
New Risk-Stratification Tool Predicts Relapse After Blinatumomab in Childhood ALL
Acute lymphoblastic leukemia in children and young people requires careful assessment of relapse risk, particularly as treatment approaches move beyond standard chemotherapy. Traditional relapse predictors... Read moreImmunology
view channel
Prototype Point-of-Care Lateral Flow Test Aims to Improve Neonatal Sepsis Triage
Sepsis in newborns and young infants remains a major clinical challenge, particularly in low- and middle-income countries. An estimated 2.3 million newborns die each year, with sepsis contributing substantially... Read more
Immune and Inflammatory Markers May Help Assess CAR T-Cell Complication Risk
Cytokine release syndrome (CRS) can occur after chimeric antigen receptor (CAR) T-cell therapy in patients with autoimmune disease. Identifying which patients are more likely to develop this complication... Read moreMicrobiology
view channel
Decentralized Laboratory Network Improves Detection of Viral Hemorrhagic Fevers in Guinea
Viral hemorrhagic fevers remain a major diagnostic challenge in West Africa because their early symptoms can resemble those of other febrile illnesses. The 2014–2016 Ebola epidemic underscored the need... Read more
Molecular Panel Gains WHO Emergency Use Listing to Support Ebola Outbreak Response
The ongoing Ebola Bundibugyo outbreak in the Democratic Republic of the Congo and neighboring countries has become one of the largest outbreaks of this Ebola virus species recorded to date.... Read morePathology
view channel
AI Pathology Approach Closely Aligns With Breast Cancer Genomic Risk Classification
In early-stage breast cancer, precision oncology relies on biological information to guide personalized treatment decisions. Because access to tissue-based genomic testing may be limited, there is growing... Read more
Roche Launches Automated Test to Support Mesothelioma Differential Diagnosis
Mesothelioma is a rare, deadly cancer that forms in the tissue lining many internal organs. Most patients are diagnosed late, with median overall survival reported at 12 to 18 months. Differential diagnosis... Read more
Digital Pathology Test Stratifies Recurrence Risk in Early Breast Cancer
In hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative early breast cancer, accurate recurrence-risk assessment helps guide treatment decisions. However, individual risks... Read more
AI Pathology Tool Predicts DNA Repair Deficiency in High-Grade Serous Ovarian Cancer
High-grade serous tubo-ovarian carcinoma is an aggressive cancer arising in the ovaries or fallopian tubes. Some tumors exhibit homologous recombination deficiency (HRD), a feature reflecting impaired DNA repair.... Read moreTechnology
view channel
Microfluidic Assay Predicts Treatment Response in Pediatric Leukemia
Acute lymphoblastic leukemia (ALL) is a rapidly developing blood cancer that can disrupt production of mature infection-fighting white blood cells within months. More than 120,000 people in the U.... Read more
AI Models Use Routine Blood Tests and Health Records to Predict Cancer Risk
Cancer screening programs cover only certain cancers and often rely on broad eligibility criteria, limiting individualized risk assessment across multiple cancer types. Routine health data, including blood... Read moreIndustry
view channel
CE-Marked IVD Sequencing Platform Launches Across Ten EU Countries
Clinical laboratories using sequencing in regulated diagnostic workflows need systems that support clearly defined processes and documentation. In Europe, meeting applicable EU IVDR requirements also means... Read more







.jpg)