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
- Combined Screening Approach Identifies Early Leprosy Cases
- Antibody Blood Test Identifies Active TB and Distinguishes Latent Infection
- FDA Approval Expands Use of PD-L1 Companion Diagnostic in Esophageal and GEJ Carcinomas
- Study Identifies Inflammatory Pathway Driving Immunotherapy Resistance in Bladder Cancer
- Microfluidic Chip Detects Cancer Recurrence from Immune Response Signals
- 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
Channels
Clinical Chemistry
view channel
AI-Enabled POC Test Quantifies Multiple Cardiac Biomarkers
Cardiovascular diseases are a leading cause of death, responsible for nearly 20 million deaths each year. Timely triage of myocardial infarction and heart failure hinges on rapid cardiac biomarker measurement,... Read moreNext Generation Automated Analyzers Increase Throughput for Clinical Chemistry and Electrolyte Testing
Clinical laboratories continue to face staffing shortages, limited space, and growing test volumes that pressure chemistry and electrolyte workflows. Maintaining rapid turnaround times increasingly depends... Read moreMolecular Diagnostics
view channel
Genome Sequencing Identifies Noncoding Variants Causing Neonatal Diabetes
Neonatal diabetes is a rare form of diabetes that presents in the first six months of life and is driven by genetic changes, yet many affected families still lack definitive diagnoses. Genetic studies... Read more
Genetic Markers Predict GLP-1 Weight-Loss Response and Side Effects
Glucagon-like peptide-1 (GLP-1) receptor agonists such as semaglutide and tirzepatide are now widely used for weight management, yet individual responses vary considerably, with some patients experiencing... Read moreHematology
view channel
Prognostic Tool Guides Personalized Treatment in Rare Blood Cancer
Chronic myelomonocytic leukemia (CMML) is a rare blood cancer in which acquired genetic mutations in bone marrow stem cells drive disease. Stem cell transplantation is the only curative option but carries... Read more
New Platelet Function Assay Enables Monitoring of Antiplatelet Therapy
Monitoring response to antiplatelet therapy remains challenging for many clinical laboratories. Aggregation-based assays and cartridge systems often require specialized personnel, dedicated instruments,... Read moreMicrobiology
view channel
Cost-Effective Sampling and Sequencing Workflow Identifies ICU Infection Hotspots
Intensive care units face persistent threats from hospital-acquired infections, increasingly driven by drug-resistant bacteria. Rapidly pinpointing environmental reservoirs and transmission hotspots remains... Read more
New Bacterial Target Identified for Early Detection of Noma
Noma is a rapidly progressing orofacial infection that begins as gingivitis and can destroy oral and facial tissues, primarily affecting young children living in extreme poverty. Without treatment, it... Read morePathology
view channelAI Improves Completeness of Complex Cancer Pathology Reports
Oncology teams increasingly rely on pathology reports that integrate histopathology, immunohistochemistry, and rapidly expanding biomarker testing. As patients live longer and undergo repeated analyses... Read more
AI Tool Predicts Chemotherapy Response in Small Cell Lung Cancer
Small cell lung cancer often presents at an extensive stage and progresses rapidly, leaving little time to tailor first-line therapy. Clinicians currently lack biomarkers to guide which patients will benefit... Read more
Tumor-Specific Biomarker Predicts Neoadjuvant Immunotherapy Response in Gastric Cancer
Gastric cancer is the fifth most common malignancy and the fourth leading cause of cancer mortality worldwide, with China bearing nearly half of the global burden. Only a subset of patients benefit from... Read moreTechnology
view channel
Noninvasive Sputum Test Detects Early Lung Cancer
Early detection remains critical for improving outcomes in lung cancer, yet clinicians increasingly encounter indeterminate pulmonary nodules found incidentally or through screening, complicating decision-making.... Read more
New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
Children with T-cell acute lymphoblastic leukemia face an aggressive disease that remains difficult to treat. Although remission rates have improved, many survivors experience long-term effects from intensive... Read more
Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
Mass spectrometry is central to identifying and quantifying molecules in complex biological samples, but conventional instruments typically analyze ions sequentially, which can limit detection of rare species.... Read moreIndustry
view channel
GRAIL Partners with Epic to Integrate Multi-Cancer Test into EHR
GRAIL’s Galleri multi-cancer early detection (MCED) test is being integrated into Epic’s electronic health record (EHR) platform through Epic Aura. The collaboration is designed to let clinicians at interested... Read moreGlobal Partnership Aims to Streamline NGS Tumor Profiling in Oncology Trials
CellCarta and Pillar Biosciences announced a global, multi-year strategic partnership on April 2, 2026 to broaden access to operationally streamlined next-generation sequencing (NGS) tumor profiling for... Read more







