Alzheimer's Disease Subtypes Proposed from Brain Gene Expression Profiles
|
By LabMedica International staff writers Posted on 18 Jan 2021 |

Image: Histopathology of neurofibrillary tangles in the brain of a patient with Alzheimer`s disease (Bielschowski silver stain) (Photo courtesy of Dimitri P. Agamanolis, MD).
Alzheimer’s disease (AD) is the most common form of dementia in the elderly, estimated to affect more than 5.8 million individuals in the USA and more than 50 million worldwide, with almost half of individuals aged over 75 years.
The neuropathological manifestations of AD traditionally include the accumulation of amyloid-beta (Aβ) peptide as extracellular plaques and hyperphosphorylated tau as intracellular neurofibrillary tangles (NFTs), typically identified on postmortem biopsy and used for definitive AD diagnosis.
A large team of scientists led by those at Icahn School of Medicine (New York, NY, USA) used transcriptome sequence data from more than 1,500 postmortem brain samples from individuals with or without AD to highlight several expression-based AD subtypes. They analyzed transcriptome data for more than 900 samples from the frontal pole (FP), superior temporal gyrus (STG), parahippocampal gyrus (PHG), and inferior frontal gyrus (IFG) brain regions in 364 Mount Sinai/JJ Peters VA Medical Center Brain Bank (MSBB-AD) participants with or without AD or related dementia.
The scientists focused in on differential gene expression patterns in the PHG, adjusting for AD stage and severity. Their results pointed to five PHG expression-based subtypes of AD, falling into three main clusters, along with related molecular signatures, clinical features, and potential driver genes. The team identified three major molecular subtypes of AD corresponding to different combinations of multiple dysregulated pathways, such as susceptibility to tau-mediated neurodegeneration, amyloid-β neuroinflammation, synaptic signaling, immune activity, mitochondria organization, and myelination. Multiscale network analysis reveals subtype-specific drivers such as GABRB2, LRP10, MSN, PLP1, and ATP6V1A. The team reported their results were shored up with data for postmortem brain samples from another 615 AD cases or controls in Religious Orders Study–Memory and Aging Project (ROSMAP).
Bin Zhang, PhD, a Professor of Genetics and genomic Science and senior author of the study, said, “Understanding the genetic and molecular differences between molecular subtypes of AD within these data will provide novel insights into disease pathogenesis and offer new avenues for developing effective therapeutics.” The study was published on January 6, 2021 in the journal Science Advances.
Related Links:
Icahn School of Medicine
The neuropathological manifestations of AD traditionally include the accumulation of amyloid-beta (Aβ) peptide as extracellular plaques and hyperphosphorylated tau as intracellular neurofibrillary tangles (NFTs), typically identified on postmortem biopsy and used for definitive AD diagnosis.
A large team of scientists led by those at Icahn School of Medicine (New York, NY, USA) used transcriptome sequence data from more than 1,500 postmortem brain samples from individuals with or without AD to highlight several expression-based AD subtypes. They analyzed transcriptome data for more than 900 samples from the frontal pole (FP), superior temporal gyrus (STG), parahippocampal gyrus (PHG), and inferior frontal gyrus (IFG) brain regions in 364 Mount Sinai/JJ Peters VA Medical Center Brain Bank (MSBB-AD) participants with or without AD or related dementia.
The scientists focused in on differential gene expression patterns in the PHG, adjusting for AD stage and severity. Their results pointed to five PHG expression-based subtypes of AD, falling into three main clusters, along with related molecular signatures, clinical features, and potential driver genes. The team identified three major molecular subtypes of AD corresponding to different combinations of multiple dysregulated pathways, such as susceptibility to tau-mediated neurodegeneration, amyloid-β neuroinflammation, synaptic signaling, immune activity, mitochondria organization, and myelination. Multiscale network analysis reveals subtype-specific drivers such as GABRB2, LRP10, MSN, PLP1, and ATP6V1A. The team reported their results were shored up with data for postmortem brain samples from another 615 AD cases or controls in Religious Orders Study–Memory and Aging Project (ROSMAP).
Bin Zhang, PhD, a Professor of Genetics and genomic Science and senior author of the study, said, “Understanding the genetic and molecular differences between molecular subtypes of AD within these data will provide novel insights into disease pathogenesis and offer new avenues for developing effective therapeutics.” The study was published on January 6, 2021 in the journal Science Advances.
Related Links:
Icahn School of Medicine
Latest Molecular Diagnostics News
- Blood Test Predicts Crohn’s Disease Years Before Symptoms Appear
- DNA Testing of Colorectal Polyps Improves Insight into Hereditary Risks
- CRISPR Discovery Paves Way for Single Diagnostic Test for COVID, Flu and RSV
- Blood-Based Colorectal Cancer Test Demonstrates High Sensitivity
- Genetic Testing Identifies CHIP Patients at Increased Heart Disease Risk After Cancer Treatment
- Advances in Liquid Biopsies Improve Detection of Lung Cancer Mutations
- Blood Test Reveals Multimorbidity Risk in Older Adults
- AI Tools Detect Early-Stage Cancer Using Simple Blood Test
- Sepsis Test Demonstrates Strong Performance in Post-Cardiac Surgery Patients
- Next-Gen Automated ELISA System Elevates Laboratory Performance
- Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types
- At-Home Blood Tests Accurately Detect Key Alzheimer's Biomarkers
- Ultra-Sensitive Blood Biomarkers Enable Population-Scale Insights into Alzheimer’s Pathology
- Blood Test Could Predict Death Risk in World’s Most Common Inherited Heart Disease
- Rapid POC Hepatitis C Test Provides Results Within One Hour
- New Biomarkers Predict Disease Severity in Children with RSV Bronchiolitis
Channels
Clinical Chemistry
view channel
Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
Multiple myeloma is an incurable cancer of the bone marrow, and while many patients now live for more than a decade after diagnosis, a significant proportion relapse much earlier with poor outcomes.... Read more
Compact Raman Imaging System Detects Subtle Tumor Signals
Accurate cancer diagnosis often depends on labor-intensive tissue staining and expert pathological review, which can delay results and limit access to rapid screening. These conventional methods also make... Read moreHematology
view channel
AI Algorithm Effectively Distinguishes Alpha Thalassemia Subtypes
Alpha thalassemia affects millions of people worldwide and is especially common in regions such as Southeast Asia, where carrier rates can reach extremely high levels. While the condition can have significant... Read more
MRD Tests Could Predict Survival in Leukemia Patients
Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read moreImmunology
view channel
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
New Test Measures How Effectively Antibiotics Kill Bacteria
Antibiotics are typically evaluated by how well they inhibit bacterial growth in laboratory tests, but growth inhibition does not always mean the bacteria are actually killed. Some pathogens can survive... Read more
New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
Antibiotic resistance is rising worldwide, threatening the effectiveness of treatments for major infectious diseases, including tuberculosis (TB). Resistance to key TB drugs, such as bedaquiline, is of... Read morePathology
view channel
AI-Powered Label-Free Optical Imaging Accurately Identifies Thyroid Cancer During Surgery
Thyroid cancer is the most common endocrine cancer, and its rising detection rates have increased the number of patients undergoing surgery. During tumor removal, surgeons often face uncertainty in distinguishing... Read more
Deep Learning–Based Method Improves Cancer Diagnosis
Identifying vascular invasion is critical for determining how aggressive a cancer is, yet doing so reliably can be difficult using standard pathology workflows. Conventional methods require multiple chemical... Read more
ADLM Updates Expert Guidance on Urine Drug Testing for Patients in Emergency Departments
Urine drug testing plays a critical role in the emergency department, particularly for patients presenting with suspected overdose or altered mental status. Accurate and timely results can directly influence... Read moreTechnology
view channel
AI-Generated Sensors Open New Paths for Early Cancer Detection
Cancers are far easier to treat when detected early, yet many tumors remain invisible until they are advanced or have recurred after surgery. Early-stage disease often produces signals that are too weak... Read more
Pioneering Blood Test Detects Lung Cancer Using Infrared Imaging
Detecting cancer early and tracking how it responds to treatment remains a major challenge, particularly when cancer cells are present in extremely low numbers in the bloodstream. Circulating tumor cells... Read moreIndustry
view channel
WHX Labs Dubai to Gather Global Experts in Antimicrobial Resistance at Inaugural AMR Leaders’ Summit
World Health Expo (WHX) Labs in Dubai (formerly Medlab Middle East), which will be held at Dubai World Trade Centre from 10-13 February, will address the growing global threat of antimicrobial resistance... Read more







 Analyzer.jpg)