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Updated: Aug 16, 2025

Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
Published on: November 11, 2016
A Targeted Epigenetic Clock for the Prediction of Biological Age
Noémie Gensous1,2, Claudia Sala3, Chiara Pirazzini4
1Department of Internal Medicine and Clinical Immunology, CHU Bordeaux (Groupe Hospitalier Saint-André), 33077 Bordeaux, France.
A new targeted epigenetic clock accurately measures biological age using DNA methylation. This six-gene clock shows potential as a healthcare tool for assessing aging and age-related conditions.
Area of Science:
- Epigenetics
- Genomics
- Biogerontology
Background:
- Epigenetic clocks initially tracked chronological age but now predict biological age.
- Genome-wide DNA methylation analysis is common, but targeted approaches offer advantages.
- Developing accurate, targeted epigenetic clocks is crucial for biological age assessment.
Purpose of the Study:
- To develop a targeted epigenetic clock optimized for biological age measurement.
- To validate the clock's performance across diverse age-related conditions.
- To explore its utility as a novel biomarker in healthcare.
Main Methods:
- Developed a targeted epigenetic clock using six genomic regions (ELOVL2, NHLRC1, AIM2, EDARADD, SIRT7, TFAP2E).
- Utilized DNA methylation assessment via EpiTYPER assay.
- Validated the clock in healthy individuals, individuals with Down syndrome, centenarians, centenarians' offspring, and elderly individuals undergoing nutritional intervention.
Main Results:
- The targeted epigenetic clock showed high correlation with chronological age in healthy subjects (Spearman correlation = 0.89).
- Epigenetic age was significantly elevated in Down syndrome (increased biological age) and reduced in centenarians and related groups (decreased biological age).
- Results align with previous findings from genome-wide epigenetic clocks.
Conclusions:
- The developed targeted epigenetic clock is a promising tool for measuring biological age.
- It demonstrates potential as a novel biomarker for assessing aging and age-related health.
- Further evaluation in large cohorts can promote its use in clinical practice.
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