Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Alzheimer's Disease: Overview

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Single-cell and spatial omics in liver identify cell-cell communication regulators in aging and insulin resistance.

Metabolism: clinical and experimental·2026

Same author

DNA Methylation Signatures of Cellular Senescence Are Not Reversed by Senolytic Treatment.

Aging cell·2026

Same author

OMICmAge quantifies biological age by integrating multi-omics with electronic medical records.

Nature aging·2026

Same author

Beyond the Genotype: A Multi-Omic Analysis of APOEe4's Role in Alzheimer's Disease.

bioRxiv : the preprint server for biology·2025

Same author

Epigenetic aging and DNA methylation biomarker changes following ketamine treatment in patients with MDD and PTSD: a pilot study.

Translational psychiatry·2025

Same author

Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems.

Nature aging·2025

Same journal

Cilia and flagella - Current insights from diverse experimental systems.

Seminars in cell & developmental biology·2026

Same journal

Editorial for special issue "When should mathematical models be used in biology".

Seminars in cell & developmental biology·2026

Same journal

Conserved machinery, divergent functions: evolutionary plasticity of the STK36/ULK4 kinase complex in ciliogenesis and signaling.

Seminars in cell & developmental biology·2026

Same journal

Chemical biology tools for studying tissue development.

Seminars in cell & developmental biology·2026

Same journal

Tetrahymena as a model organism for cilia research.

Seminars in cell & developmental biology·2026

Same journal

Emerging Concepts in Cardiovascular Development and Regeneration.

Seminars in cell & developmental biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 19, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Aging biomarkers and the brain.

Albert T Higgins-Chen¹, Kyra L Thrush², Morgan E Levine³

¹Department of Psychiatry, Yale University School of Medicine, 300 George St, Suite 901, New Haven, CT 06511, USA.

Seminars in Cell & Developmental Biology

|January 29, 2021

Summary

This summary is machine-generated.

Biological aging quantification is key for healthspan research. This study introduces a framework for brain aging biomarkers like epigenetic clocks, proteomic clocks, and neuroimaging, aiding in understanding and treating age-related diseases.

Keywords:

Aging Biomarker Epigenetic clock Neurodegeneration Neuroimaging Proteomics

More Related Videos

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Published on: December 18, 2016

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

Related Experiment Videos

Last Updated: Nov 19, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Symmetric Bihemispheric Postmortem Brain Cutting to Study Healthy and Pathological Brain Conditions in Humans

Published on: December 18, 2016

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

Area of Science:

Gerontology
Neuroscience
Biomarker Discovery

Background:

Aging is the primary cause of disease and death.
Numerous biomarkers for brain aging have emerged, utilizing diverse data and models.
A comprehensive understanding requires complementary biomarkers capturing various aging facets.

Purpose of the Study:

To present a hierarchical framework for understanding brain aging biomarkers.
To review prominent brain aging biomarkers: epigenetic clocks, proteomic clocks, and neuroimaging predictors.
To discuss challenges and future directions in biomarker interpretation and application.

Main Methods:

Literature review of established brain aging biomarkers.
Framework development to illustrate biomarker interrelationships.
Analysis of biomarker associations with cognition, mental health, and brain pathology.

Main Results:

Epigenetic clocks, proteomic clocks, and neuroimaging age predictors are key measures.
These biomarkers correlate with cognitive function, mental health, brain structure, and pathology.
A hierarchical structure clarifies biomarker connections and underlying biological processes.

Conclusions:

A unified framework is essential for interpreting diverse brain aging biomarkers.
Further mechanistic understanding is crucial for developing interventions against age-related diseases.
Innovation in biomarker development and interpretation will advance healthy aging research.