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
Gold Member
Clinical Chemistry Assay
Sorbitol Dehydrogenase (SDH)
Benchtop Thermomixer
Biometra TS1 ThermoShaker
Thyroid Test
Anti-Thyroid EIA Test
Latest Clinical Chem. News
- Blood-Based Sensor Detects Early Signs of Alzheimer’s and Parkinson’s
- Liquid Biopsy Biomarkers May Improve Childhood Epilepsy Diagnosis
- Urine-Based Alzheimer’s Test Receives FDA Breakthrough Device Designation
- Fluid Biomarker Improves Diagnosis and Monitoring of Primary CNS Lymphoma
- New CA19-9 Cutoff Value Helps Identify High-Risk Pancreatic Cancer Patients
- Blood-Based Biomarkers Show Promise for Psychosis Risk Prediction
- International Experts Recommend Ending Routine 'Corrected' Calcium Reporting
- Long-Term Data Show PSA Screening Modestly Reduces Prostate Cancer Deaths
- Urine-Based Nanosensor Tracks Lung Cancer and Fibrosis Noninvasively
- FDA-Cleared Assay Enables Comprehensive Automated Testosterone Testing
- CE-Marked Blood Biomarker Test Advances Automated Alzheimer’s Diagnostics
- Blood-Based Alzheimer’s Test Gains CE Mark for Amyloid Pathology Detection
- Noninvasive Urine Test May Support Earlier Diagnosis of Psychiatric Disorders
- At-Home Blood and Cognitive Tests Support Dementia Risk Stratification
- Ultrasensitive Test Detects Key Biomarker of Frontotemporal Dementia Subtype
- Routine Blood Tests Years Before Pregnancy Could Identify Preeclampsia Risk
Channels
Molecular Diagnostics
view channel
Ultrasensitive MRD Blood Test Detects Early Breast Cancer Recurrence
SAGA Diagnostics (Morrisville, NC, USA), a company specializing in tumor-informed, blood-based cancer detection and precision medicine, announced the publication of a new study evaluating its Pathlight... Read more
Position Statements Outline Evidence Standards for Multi-Cancer Detection Tests
Cancer screening is intended to reduce mortality, but policy decisions often depend on early indicators that may not fully reflect true survival benefit. The emergence of blood-based tests capable of detecting... Read more
Hematology
view channel
Higher Ferritin Threshold May Improve Iron Deficiency Detection in Children
Iron deficiency in school-age children can affect brain development, learning, growth, and physical performance, yet early deficiency may be missed when screening focuses mainly on anemia.... Read more
Stem Cell Biomarkers May Guide Precision Treatment in Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is an aggressive blood cancer that most often affects older adults and still carries a poor prognosis despite therapeutic advances. Venetoclax-based regimens have improved... Read more
Immunology
view channel
Immune Enzyme Linked to Treatment-Resistant Inflammatory Bowel Disease
Inflammatory bowel disease (IBD) affects nearly 3 million people in the United States and its prevalence continues to rise. Medications that target tumor necrosis factor (TNF)-alpha are widely used, but... Read more
Simple Blood Test Could Replace Biopsies for Lung Transplant Rejection Monitoring
Lung transplant recipients face some of the highest rates of acute cellular rejection, and routine surveillance often relies on repeated surgical biopsies. These procedures can cause complications such... Read more
Microbiology
view channel
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read more
New AMR Assay Supports Rapid Infection Control Screening in Hospitals
As antimicrobial resistance spreads worldwide, healthcare-associated infections are placing a growing burden on hospitals, increasing the need for faster and broader diagnostic solutions.... Read more
Pathology
view channel
AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
Multiple myeloma is a bone marrow malignancy in which patients can respond very differently to the same treatments, making initial therapy decisions difficult. Clinicians must choose among options such... Read more
Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
Gene expression profiling can inform tumor biology and treatment selection, but spatial assays remain costly and time-consuming. Results can take weeks and cost thousands of dollars, limiting large-scale... Read more
Technology
view channel
AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
Clinical laboratories and research groups face increasingly complex molecular workflows and expanding technical documentation spread across multiple systems. Fragmented digital tools can slow experiment... Read more
AI Tool Automates Validation of Laboratory Software Configuration Changes
Regulated laboratories face heavy documentation and requalification demands when software configurations change, slowing improvements and discouraging beneficial updates. A new capability now automates... Read more
Industry
view channel
New Distribution Agreement Expands Access to CE-Marked Precision Oncology Assays
Eurobio Scientific (Les Ulis, France) has signed a distribution agreement with Canhelp Genomics (Hangzhou, China) to broaden availability of the Canhelp‑UCa and Canhelp‑Origin assays. The agreement extends... Read more
