Blood Test Can Accurately Detect Alzheimer's Disease
|
By LabMedica International staff writers Posted on 01 Nov 2015 |

Image: Schematic diagram of how microtubules disintegrate with Alzheimer\'s disease (Photo courtesy of US National Institute on Aging).
A blood test that can accurately detect the presence of Alzheimer's disease is being developed which would give physicians an opportunity to intervene at the earliest, most treatable stage.
As blood vessels in the brain weaken or become brittle with age, they begin to leak, which allows plasma components including brain-reactive autoantibodies into the brain. There, the autoantibodies can bind to neurons and accelerate the accumulation of β-amyloid deposits, a hallmark of Alzheimer's pathology.
Scientists at the Rowan University School of Osteopathic Medicine (Stratford, NJ, USA) have focused focuses on utilizing autoantibodies as blood-based biomarkers to accurately detect the presence of myriad diseases and pinpoint the stage to which a disease has progressed. By detecting Alzheimer's disease long before symptoms emerge, they hope those with disease-related autoantibody biomarkers will be encouraged to make beneficial lifestyle changes that may help to slow development of the disease.
All humans possess thousands of autoantibodies in their blood and these autoantibodies specifically bind to blood-borne cellular debris generated by organs and tissues all over the body. An individual's autoantibody profile is strongly influenced by age, gender and the presence of specific diseases or injuries, and diseases cause characteristic changes in autoantibody profiles that, when detected, can serve as biomarkers that reveal the presence of the disease. The blood test developed by the team has also shown promise in detecting other diseases, including Parkinson's disease, multiple sclerosis, and breast cancer.
The team developed a microarray, a slide dotted with tiny proteins that light up in reaction to certain autoantibodies, to test for very early stages of Alzheimer’s disease. To test the blood for specific autoantibodies, the investigators took a drop of blood and smeared it on a microarray, a 2.54-cm by 7.62-cm slide dotted with 23,500 tiny proteins, about a third of all proteins made in the human body. When scanned with a laser, the proteins light up in reaction to certain autoantibodies. The brighter the color, the more of that autoantibody is present.
Robert Nagele, PhD, the senior author of the study said, “There are significant benefits to early disease detection because we now know that many of the same conditions that lead to vascular disease are also significant risk factors for Alzheimer's. People found to have preclinical disease can take steps to improve their vascular health, including watching their diet, exercising and managing any weight and blood pressure issues to help stave off or slow disease progression.” The study was presented at the Osteopathic Medical Conference & Exposition, held October 17–21, 2015, in Orlando (FL, USA).
Related Links:
Rowan University School of Osteopathic Medicine
As blood vessels in the brain weaken or become brittle with age, they begin to leak, which allows plasma components including brain-reactive autoantibodies into the brain. There, the autoantibodies can bind to neurons and accelerate the accumulation of β-amyloid deposits, a hallmark of Alzheimer's pathology.
Scientists at the Rowan University School of Osteopathic Medicine (Stratford, NJ, USA) have focused focuses on utilizing autoantibodies as blood-based biomarkers to accurately detect the presence of myriad diseases and pinpoint the stage to which a disease has progressed. By detecting Alzheimer's disease long before symptoms emerge, they hope those with disease-related autoantibody biomarkers will be encouraged to make beneficial lifestyle changes that may help to slow development of the disease.
All humans possess thousands of autoantibodies in their blood and these autoantibodies specifically bind to blood-borne cellular debris generated by organs and tissues all over the body. An individual's autoantibody profile is strongly influenced by age, gender and the presence of specific diseases or injuries, and diseases cause characteristic changes in autoantibody profiles that, when detected, can serve as biomarkers that reveal the presence of the disease. The blood test developed by the team has also shown promise in detecting other diseases, including Parkinson's disease, multiple sclerosis, and breast cancer.
The team developed a microarray, a slide dotted with tiny proteins that light up in reaction to certain autoantibodies, to test for very early stages of Alzheimer’s disease. To test the blood for specific autoantibodies, the investigators took a drop of blood and smeared it on a microarray, a 2.54-cm by 7.62-cm slide dotted with 23,500 tiny proteins, about a third of all proteins made in the human body. When scanned with a laser, the proteins light up in reaction to certain autoantibodies. The brighter the color, the more of that autoantibody is present.
Robert Nagele, PhD, the senior author of the study said, “There are significant benefits to early disease detection because we now know that many of the same conditions that lead to vascular disease are also significant risk factors for Alzheimer's. People found to have preclinical disease can take steps to improve their vascular health, including watching their diet, exercising and managing any weight and blood pressure issues to help stave off or slow disease progression.” The study was presented at the Osteopathic Medical Conference & Exposition, held October 17–21, 2015, in Orlando (FL, USA).
Related Links:
Rowan University School of Osteopathic Medicine
Latest Immunology News
- Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
- Immune Signature Identified in Treatment-Resistant Myasthenia Gravis
- New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
- Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
- Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
- Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
- Blood Test Could Identify Colon Cancer Patients to Benefit from NSAIDs
- Blood Test Could Detect Adverse Immunotherapy Effects
- Routine Blood Test Can Predict Who Benefits Most from CAR T-Cell Therapy
- New Test Distinguishes Vaccine-Induced False Positives from Active HIV Infection
- Gene Signature Test Predicts Response to Key Breast Cancer Treatment
- Chip Captures Cancer Cells from Blood to Help Select Right Breast Cancer Treatment
- Blood-Based Liquid Biopsy Model Analyzes Immunotherapy Effectiveness
- Signature Genes Predict T-Cell Expansion in Cancer Immunotherapy
- Molecular Microscope Diagnostic System Assesses Lung Transplant Rejection
- Blood Test Tracks Treatment Resistance in High-Grade Serous Ovarian Cancer
Channels
Clinical Chemistry
view channel
New Plasma Tau Assay Improves Prediction of Alzheimer’s Progression
Predicting which patients with early symptomatic Alzheimer’s disease will decline more rapidly remains a key challenge in both research and patient care. Growing interest in tau biology, along with advances... Read more
Routine Blood Markers Predict Heart Failure Risk in Prediabetes
Heart failure prevention relies on finding high-risk adults before symptoms appear, yet effective stratification remains difficult in routine care. Prediabetes affects an estimated 115.2 million U.... Read moreMolecular Diagnostics
view channel
Blood Test Helps Guide Treatment in Older Women with Breast Cancer
Older women with estrogen receptor–positive breast cancer often face difficult decisions about treatment, especially when surgery and radiation can lead to side effects such as scarring, swelling, infection... Read more
Liquid Biopsy Method Pinpoints Disease Source From a Single Drop of Blood
Liquid biopsy offers a noninvasive way to assess disease, but many assays still lack reliable tissue-of-origin localization and robust performance for early cancer detection. Researchers now report a method... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreMicrobiology
view channel
Study Highlights Accuracy Gaps in Consumer Gut Microbiome Kits
Direct-to-consumer gut microbiome kits promise personalized insights by profiling fecal bacteria and generating health readouts, but their analytical accuracy remains uncertain. A new study shows that... Read more
WHO Recommends Near POC Tests, Tongue Swabs and Sputum Pooling for TB Diagnosis
Tuberculosis (TB) remains one of the world’s leading infectious disease killers, yet millions of cases go undiagnosed or are detected too late. Barriers such as reliance on sputum samples, limited laboratory... Read morePathology
view channel
AI-Powered Tool to Transform Dermatopathology Workflow
Skin cancer accounts for the largest number of cancer diagnoses in the United States, placing sustained pressure on pathology services. Diagnostic interpretation can be variable for challenging melanocytic... Read more
New Chromogenic Culture Media Enable Rapid Detection of Candida Infections
Invasive Candida infections are challenging for healthcare systems, with some strains spreading rapidly in hospitals and showing resistance to multiple antifungal drugs. Candida auris is associated with... Read moreTechnology
view channel
New Electronic Pipette Enhances Workflows with Touchscreen Control
Manual pipetting remains a routine yet error-prone step that can affect reproducibility and throughput in clinical and research laboratories. Training demands and ergonomic strain also add variability... Read more
AI Model Outperforms Clinicians in Rare Disease Detection
Rare diseases affect an estimated 300 million people worldwide, yet diagnosis is often protracted and error-prone. Many conditions present with heterogeneous signs that overlap with common disorders, leading... Read more
AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Periprosthetic joint infection (PJI) is a rare but serious complication affecting 1% to 2% of primary joint replacement surgeries. The condition occurs when bacteria or fungi infect tissues around an implanted... Read moreIndustry
view channel
Automated MSI Test Gains IVDR Certification to Guide CRC Therapy
Treatment selection for metastatic colorectal cancer often requires knowledge of a tumor’s microsatellite instability (MSI) status. Timely results can help clinicians decide on immunotherapy options.... Read more








