Review of AI aging clocks for cardiac aging: ECG, metabolomic and epigenetic signatures
This abstract reviews three approaches to measuring cardiac and systemic biological aging: epigenetic clocks such as GrimAge, AI-based ECG clocks and metabolomic clocks. It reports associations with cardiovascular outcomes and mortality, but notes limited mechanisms and population generalizability. [1]
Automatic summary · not editorially reviewed
The key findings
The abstract reviews epigenetic clocks such as GrimAge, AI-based ECG clocks and metabolomic clocks as three complementary approaches to quantifying cardiac and systemic aging. [1]
The abstract reports that ECG age gaps independently predict mortality and that accelerated ECG aging may be associated with up to 79% higher mortality risk. [1]
The abstract states that single-modality approaches capture only one dimension of aging, mechanisms remain incompletely understood and population generalizability is limited. [1]
The source at a glance
- Study type / format
- Review (abstract only)
- Population / context
- People discussed in a review of cardiac and systemic biological aging clocks; specific study populations are not described in the abstract.
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- July 23, 2026
Review scope: three clocks for cardiac and systemic aging
The abstract describes a review of three complementary ways to quantify cardiac and systemic aging. Epigenetic clocks, especially second-generation models such as GrimAge, are called the most established molecular measures of biological aging and show strong associations with cardiovascular outcomes. AI-based ECG clocks are described as capturing functional cardiac aging. Metabolomic clocks are said to offer complementary insight into systemic metabolic aging. The text distinguishes biological from chronological age and frames biological age as potentially better at predicting health outcomes and disease risk.
Supporting source [1]
ECG age gaps and mortality; TMAO metabolite associations
According to the abstract, landmark studies found that ECG age gaps independently predict mortality, and that accelerated ECG aging may be linked to up to 79% higher mortality risk. These are reported associations, not proof that accelerated ECG aging causes death. Metabolomic clocks are said to reveal links between metabolic dysregulation and cardiovascular aging, including associations involving metabolites such as trimethylamine N-oxide (TMAO). The abstract does not report study designs, sample sizes or follow-up periods for these findings.
Supporting source [1]
Stated limits: single modalities, unclear mechanisms, generalizability
The abstract states that current aging clocks face important limitations: single-modality approaches capture only one dimension of aging, the biological mechanisms underlying accelerated aging remain incompletely understood, and population generalizability remains limited. It concludes that integrating ECG, metabolomic and epigenetic data promises a shift from reactive disease management to proactive, personalized aging intervention. Understanding concordance and discordance between clocks may uncover distinct aging phenotypes and modifiable pathways. Future research is proposed to integrate multi-omics data in large longitudinal cohorts and build interpretable, population-generalizable models. These are proposals, not validated clinical tools.
Supporting source [1]
How to interpret this
This is an abstract only; the full text was not reviewed. The abstract does not report study designs, sample sizes or follow-up for the cited findings, and the reported associations do not establish causation. The integration of clocks is proposed future work, not a validated clinical tool.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Åkerblom S, Jia M, Tahasildar S, Khamis A, Froguel P, Bonnefond A, O’Regan DP, Gambardella N, Dumas M. · europepmc.org · July 23, 2026