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

Download Mobile App




DNA Methylation Signatures of Aging Could Help Assess Mortality Risk

By LabMedica International staff writers
Posted on 11 Jul 2025

Aging is associated with the progressive degeneration and loss of function across multiple physiological systems. More...

Chronological age is the most common indicator of aging; however, there is significant variation in the aging process among individuals of the same age due to differences in their organ systems. This variability complicates the understanding of biological aging and the prediction of related diseases and mortality.

Recent advancements in DNA methylation (DNAm) algorithms have provided new ways to estimate biological age, with the potential to predict mortality and age-related diseases. However, despite the development of multiple DNAm algorithms, it remains unclear which tool most accurately represents biological aging and its impact on health outcomes. Now, a new study sought to assess 12 DNAm signatures of aging to explore their correlation with mortality and determine which was the most predictive.

The study by researchers at Shanghai Jiao Tong University School of Medicine (SJTUSM, Shanghai, China) involved a large cohort from the U.S. National Health and Nutrition Examination Survey 1999-2000. Participants aged 50 or older were followed for a median of 17.17 years, with mortality data linked to the National Death Index. The study incorporated twelve DNAm estimators, including HorvathAge, HannumAge, GrimAge, and others. It aimed to evaluate their associations with mortality and compare their predictive abilities.

The research found that most DNAm estimators were significantly correlated with chronological age and mortality. However, when all 12 algorithms were included in the same model, only GrimAge2 remained significantly associated with all-cause mortality. GrimAge2 was found to have superior predictive abilities compared to chronological age, with a hazard ratio (HR) of 2.69 per standard deviation increase.

Based on their findings published in Tsinghua University Press, the researchers concluded that DNAm signatures of aging are independently associated with all-cause mortality, with GrimAge2 being the most robust predictor. Additionally, the team acknowledged that GrimAge2 outperformed other DNAm estimators and chronological age in predicting mortality, suggesting its potential for assessing mortality risk and evaluating healthy aging interventions.

The study also identified that while these findings are promising, further validation in diverse populations is necessary. Moving forward, the researchers plan to explore the underlying mechanisms behind GrimAge2’s effect on mortality and conduct additional studies to confirm these results in broader cohorts.

Related Links:
SJTUSM


Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
POC Helicobacter Pylori Test Kit
Hepy Urease Test
New
Anterior Nasal Specimen Collection Swabs
53-1195-TFS, 53-0100-TFS, 53-0101-TFS, 53-4582-TFS
New
HBV DNA Test
GENERIC HBV VIRAL LOAD VER 2.0
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Hematology

view channel
Image: New research points to protecting blood during radiation therapy (Photo courtesy of 123RF)

Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments

Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read more

Immunology

view channel
Image: The test could streamline clinical decision-making by identifying ideal candidates for immunotherapy upfront (Xiao, Y. et al. Cancer Biology & Medicine July 2025, 20250038)

Blood Test Predicts Immunotherapy Efficacy in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking targeted therapies, making immunotherapy a promising yet unpredictable option. Current biomarkers such as PD-L1 expression or tumor... Read more

Microbiology

view channel
Image: New diagnostics could predict a woman’s risk of a common sexually transmitted infection (Photo courtesy of 123RF)

New Markers Could Predict Risk of Severe Chlamydia Infection

Chlamydia trachomatis is a common sexually transmitted infection that can cause pelvic inflammatory disease, infertility, and other reproductive complications when it spreads to the upper genital tract.... Read more

Technology

view channel
Image: The sensor can help diagnose diabetes and prediabetes on-site in a few minutes using just a breath sample (Photo courtesy of Larry Cheng/Penn State)

Graphene-Based Sensor Uses Breath Sample to Identify Diabetes and Prediabetes in Minutes

About 37 million U.S. adults live with diabetes, and one in five is unaware of their condition. Diagnosing diabetes often requires blood draws or lab visits, which are costly and inconvenient.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.