Blood Test Predicts Onset of Alzheimer's Disease
|
By LabMedica International staff writers Posted on 22 Jul 2014 |
|
Image: The Luminex 200 System for Multiplex Testing (Photo courtesy of the University of Utah).
A combination of 10 proteins could predict whether individuals would progress from mild cognitive impairment to Alzheimer's disease (AD) within a year has been discovered.
Mild cognitive impairment (MCI) which includes problems with day-to-day memory, attention and language can be an early sign of dementia, but it can also be a symptom of stress or anxiety. About 10% of people with MCI go on to develop dementia within a year, however, apart from regular memory tests, there is currently no reliable way to predict who will and will not be among them.
Scientists at King's College London (UK) working with Proteome Sciences plc (Cobham, UK) analyzed blood samples from 1,148 subjects: 476 with AD, 220 with MCI, and 452 elderly controls with no dementia. The team analyzed 26 proteins in the blood samples and found that 16 linked strongly to brain shrinkage in the MCI and Alzheimer's groups. All candidate proteins were measured using xMAP multiplex bead assays incorporated in 7 MILLIPLEX MAP panels run on the Luminex 200 instrument (Luminex; Austin, TX, USA).
In a secondary analysis they discovered that a combination of 10 proteins could predict whether individuals would progress from MCI to Alzheimer's disease within a year with an accuracy of 87%. They found that the proteins transthyretin (TTR), clusterin, cystatin C, alpha-1-acid glycoprotein (A1AcidG), Intercellular Adhesion Molecule 1 (ICAM1), cytochrome c4 precursor (CC4), pigment epithelium-derived factor (PEDF), alpha 1-antitrypsin (A1AT), Chemokine ligand 5 (RANTES), and Apolipoprotein C-III (ApoC3) plus the Apolipoprotein E (APOE) genotype, had the greatest predictive power.
Abdul Hye, PhD, the lead author of the study said, “The study marks the end of many years' work to find which of the thousands of proteins in the blood were clinically relevant. We now have a set of 10 proteins that can predict whether someone with early symptoms of memory loss, or mild cognitive impairment will develop Alzheimer's disease within a year, with a high level of accuracy.” The study was published on July 10, 2014, in the journal Alzheimer's and Dementia.
Related Links:
King's College London
Proteome Sciences plc
Luminex
.jpg)
Mild cognitive impairment (MCI) which includes problems with day-to-day memory, attention and language can be an early sign of dementia, but it can also be a symptom of stress or anxiety. About 10% of people with MCI go on to develop dementia within a year, however, apart from regular memory tests, there is currently no reliable way to predict who will and will not be among them.
Scientists at King's College London (UK) working with Proteome Sciences plc (Cobham, UK) analyzed blood samples from 1,148 subjects: 476 with AD, 220 with MCI, and 452 elderly controls with no dementia. The team analyzed 26 proteins in the blood samples and found that 16 linked strongly to brain shrinkage in the MCI and Alzheimer's groups. All candidate proteins were measured using xMAP multiplex bead assays incorporated in 7 MILLIPLEX MAP panels run on the Luminex 200 instrument (Luminex; Austin, TX, USA).
In a secondary analysis they discovered that a combination of 10 proteins could predict whether individuals would progress from MCI to Alzheimer's disease within a year with an accuracy of 87%. They found that the proteins transthyretin (TTR), clusterin, cystatin C, alpha-1-acid glycoprotein (A1AcidG), Intercellular Adhesion Molecule 1 (ICAM1), cytochrome c4 precursor (CC4), pigment epithelium-derived factor (PEDF), alpha 1-antitrypsin (A1AT), Chemokine ligand 5 (RANTES), and Apolipoprotein C-III (ApoC3) plus the Apolipoprotein E (APOE) genotype, had the greatest predictive power.
Abdul Hye, PhD, the lead author of the study said, “The study marks the end of many years' work to find which of the thousands of proteins in the blood were clinically relevant. We now have a set of 10 proteins that can predict whether someone with early symptoms of memory loss, or mild cognitive impairment will develop Alzheimer's disease within a year, with a high level of accuracy.” The study was published on July 10, 2014, in the journal Alzheimer's and Dementia.
Related Links:
King's College London
Proteome Sciences plc
Luminex
New
Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
New
Gold Member
Nucleic Acid Extractor System
NEOS-96 XT
New
HIV-1 Molecular Diagnostic Assay
AltoStar HIV RT-PCR Kit 1.5
New
Manual Pipetting Aid
Pipette Controllers macro
Latest Clinical Chem. News
- Routine Blood Tests Identify Biomarkers Linked to PTSD
- Proteomic Data Underscore Need for Age-Specific Pediatric Reference Ranges
- Routine Blood Count Ratio Linked to Future Alzheimer’s and Dementia Risk
- Label-Free Microfluidic Device Enriches Tumor Cells and Clusters from Pleural Effusions
- Rapid Biosensor Detects Pancreatic Cancer Biomarker for Early Detection
- Urine-Based Multi-Cancer Screening Test Receives FDA Breakthrough Device Designation
- Blood Test Predicts Alzheimer Disease Risk Before Imaging Changes and Symptoms
- Study Finds ApoB Testing More Effective Than LDL for Guiding Lipid Therapy
- AI-Enabled POC Test Quantifies Multiple Cardiac Biomarkers
- Next Generation Automated Analyzers Increase Throughput for Clinical Chemistry and Electrolyte Testing
- Blood Metabolite Test Detects Early Cognitive Decline
- AI-Based Blood Test Diagnose Multiple Brain Disorders from Blood Sample
- Automated NfL Assay Supports Monitoring of Neurological Disorders
- Blood-Based Screening Test Targets Early Detection of Colorectal Cancer
- New CLIA Status Brings Mass Spectrometry Steroid Testing to Routine Labs
- CSF Biomarker Improves Diagnosis of Parkinson’s Disease and Lewy Body Dementia
Channels
Molecular Diagnostics
view channel
Risk Prediction Tool Enhances Genetic Testing for Li-Fraumeni Syndrome
Li-Fraumeni syndrome is a rare hereditary cancer predisposition most often driven by germline mutations in the TP53 tumor suppressor gene. Determining who should receive TP53 testing remains challenging... Read more
Genetic Signature Predicts Myeloid Leukemia Risk in Down Syndrome
Children with Down syndrome face a markedly increased risk of myeloid leukemia, yet early lesions and pre-cancerous cells can appear indistinguishable under the microscope. Many are born with a transient... Read more
Hematology
view channel
Blood Test Enables Early Detection of Multiple Myeloma Relapse
Bone marrow biopsies remain central to diagnosing and monitoring multiple myeloma, yet the procedure is painful, invasive, and often repeated over time. Older patients—who represent most new cases—can... Read more
Single Assay Enables Rapid HLA and ABO Genotyping for Transplant Matching
CareDx (Brisbane, CA, USA) has introduced AlloSeq Nano, a nanopore‑based HLA (human leukocyte antigen) and ABO genotyping solution unveiled at the European Federation for Immunogenetics (EFI) Conference 2026.... Read more
Immunology
view channel
Study Highlights Low Sensitivity of Current Lyme Tests in Early Infection
Accurate laboratory diagnosis of early Lyme disease remains challenging because serologic responses may be limited soon after infection. Missed detection at this stage can delay evaluation and management... Read more
Immune Aging Clock Quantifies Immunosenescence and Identifies Therapeutic Target
Immune aging undermines host defense and contributes to multiple age-related diseases, yet its heterogeneity complicates measurement and intervention. Clinical laboratories increasingly seek objective... Read more
Microbiology
view channel
Rapid Antigen Biosensor Detects Active Tuberculosis in One Hour
Tuberculosis remains a major global health challenge and continues to drive significant morbidity and mortality. The World Health Organization’s 2024 global report cites it as the leading cause of death... Read more
Oral–Gut Microbiome Signatures Identify Early Gastric Cancer
Early detection of gastric cancer could be advanced by scalable screening strategies using minimally invasive sampling. Saliva collection is noninvasive and cost-effective, supporting wider adoption... Read more
Pathology
view channel
Multimodal AI Tool Predicts Genetic Alterations to Guide Breast Cancer Treatment
PIK3CA mutations are key biomarkers for selecting phosphoinositide 3-kinase (PI3K)–targeted therapies in breast cancer, yet access to molecular testing can be inconsistent and costly. Conventional polymerase... Read more
Interpretable AI Reveals Hidden Cellular Features from Microscopy Images
Microscopy images contain rich clues about cell health, but many disease-relevant morphological differences are too subtle to see and difficult to quantify consistently. Artificial intelligence (AI) has... Read more
Technology
view channel
Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
Risk stratification for breast cancer remains imprecise, as population-based models and breast density can over- or underestimate individual risk, potentially leading to over- or under-screening.... Read more
AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
Advanced bowel cancer remains difficult to treat, and many patients receive targeted therapies that do not help them but still cause harm. Clinicians need reliable ways to identify likely responders before... Read more
Industry
view channel
Collaboration Expands Access to Rapid Metagenomic Diagnostics for Complex Infections
Hospitals are seeing rising rates of complicated and healthcare-associated infections, especially in immunocompromised patients, intensifying the need for rapid, comprehensive pathogen detection.... Read more
