We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Alzheimer's Disease Subtypes Proposed from Brain Gene Expression Profiles

By LabMedica International staff writers
Posted on 18 Jan 2021
Print article
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).
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

Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Ultrasonic Cleaner
UC 300 Series
New
Unstirred Waterbath
HumAqua 5

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.