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
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
Automatic Hematology Analyzer
CF9600
Gold Member
Quality Control Material
iPLEX Pro Exome QC Panel
New
CMV CLIA Diagnostic
CLIA CMV IgA Screen Group
New
Thyroid Test
Anti-Thyroid EIA Test
Latest Clinical Chem. News
- 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
- Simple Urine Home Test Kit Could Detect Early-Stage Breast Cancer
- Study Shows Dual Biomarkers Improve Accuracy of Alzheimer’s Detection
- New Tool Tracks Biomarker Changes to Predict Myeloma Progression
- New Plasma Tau Assay Improves Prediction of Alzheimer’s Progression
- First IVD Immunoassay to Detect Alzheimer’s Risk Gene Variant Receives CE Mark
- Routine Blood Markers Predict Heart Failure Risk in Prediabetes
- AI Model Enables Personalized Glucose Predictions for Type 1 Diabetes
Channels
Molecular Diagnostics
view channel
Urine-Based Assay Predicts Severe Dengue Risk Early
Dengue is among the most widespread mosquito-borne infections, yet early risk stratification can be difficult when symptoms overlap with other febrile illnesses. Only about 2% to 5% of patients develop... Read more
CE-Marked Blood Test Enables Monitoring of Neuroinflammation in Multiple Sclerosis
Multiple sclerosis affects more than 2.9 million people worldwide and requires ongoing evaluation of disease activity to guide care. Routine monitoring often depends on magnetic resonance imaging (MRI),... Read more
Ultrasensitive Assay Tracks Resistance Mutations MRD Monitoring
Ultrasensitive circulating tumor DNA assessment is being applied to predict and track response to immunotherapy and to detect relapse across multiple solid tumors. Monitoring resistance mutations such... Read more
Extracellular Vesicle RNA Biomarkers Enable Noninvasive IBD Diagnosis and Monitoring
Inflammatory bowel disease (IBD) is a chronic, relapsing gastrointestinal condition whose incidence is rising in industrialized and newly industrialized countries, with prevalence in early‑industrialized... Read moreHematology
view channel
Routine Blood Test Parameters Link Anemia to Cancer Risk and Mortality
Anemia detected in routine care can signal underlying pathology and is frequently encountered in adults. Because it is defined by hemoglobin levels below the normal range, it is often evaluated with red... Read more
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
Immunology
view channel
Study Finds Influenza Often Undiagnosed in Winter Deaths
Seasonal influenza drives substantial excess mortality, yet its contribution is often obscured when infections go undiagnosed near the time of death. Many deaths occur outside hospitals or in older adults... Read more
Combined Screening Approach Identifies Early Leprosy Cases
Leprosy remains a significant public health concern, with more than 200,000 new cases reported globally each year and early disease often escaping routine laboratory detection. In its initial phase, bacterial... Read more
Microbiology
view channel
RNA-Based Workflow Identifies Active Skin Microbes for Dermatology Research
Human skin carries diverse microbial communities that influence barrier function and inflammation, yet identifying which organisms are metabolically active has been challenging. DNA-based surveys catalog... Read more
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
Pathology
view channel
AI 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_image.png "Image: Through neoadjuvant therapy combining chemotherapy with immune checkpoint inhibitors (ICI) for 46 LAGC patients and single-cell transcriptome sequencing, researchers found that tumor cells in the treatment-sensitive group specifically upregulated MHC-II (tumor-specific major histocompatibility complex class II, tsMHC-II) molecules (photo courtesy of Science China Press)")
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 more
Technology
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 more
Industry
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 more
