Inflammation-based epigenetic clocks tested in disease and reprogramming
The abstract reports that epigenetic clocks built from an inflammatory gene set predicted age, detected rejuvenation and identified accelerated aging in disease samples; the full text was not reviewed. [1]
Automatic summary · not editorially reviewed
The key findings
The abstract states that the molecular link between epigenetic aging and inflammatory profiles in chronic diseases and rejuvenation had not yet been established. [1]
Inflammation-derived epigenetic clocks were built with ElasticNet models trained on CpG sites from ISig promoter regions. [1]
The abstract reports that the ISig clocks predicted age, detected rejuvenation and identified accelerated aging in disease contexts. [1]
The source at a glance
- Study type / format
- Abstract of a study developing and testing epigenetic aging clocks
- Population / context
- Healthy samples and diseased samples, plus cells undergoing reprogramming, as described in the abstract
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- June 6, 2026
Inflammation, epigenetic aging and the stated gap
The abstract describes chronic, low-level inflammation without infection as a major driver of aging and age-related diseases, and notes that aging interventions work at least partly by reducing inflammation. It states that the molecular link between epigenetic aging and inflammatory profiles in chronic diseases and rejuvenation had not yet been established. The study therefore aimed to examine a newly described inflammatory signature gene set (ISig), previously associated with accelerated aging, in disease progression and rejuvenation.
Supporting source [1]
Clocks trained on ISig promoter sites
The authors developed inflammation-derived epigenetic aging clocks using ElasticNet regression models trained on CpG sites from ISig promoter regions. They report validating the new clocks on healthy samples and then testing whether the clocks could detect accelerated aging in diseased samples and rejuvenation during cellular reprogramming. The abstract does not report sample sizes, specific diseases, follow-up or effect estimates.
Supporting source [1]
Reported clock performance and GeneClock Studio tool
According to the abstract, the ISig inflammatory clocks accurately predicted age, detected rejuvenation and identified accelerated aging in disease contexts. The authors also state that a curated inflammatory gene set with biological relevance can be used to estimate biological age acceleration. They additionally developed a web application, GeneClock Studio, that lets researchers apply the inflammatory clocks to their own DNA methylation datasets without programming expertise and supports training new clocks from an arbitrarily selected gene set. These are abstract-level claims; the full text was not reviewed.
Supporting source [1]
How to interpret this
This explainer is based only on the abstract; the full text was not reviewed. The abstract does not report sample sizes, specific diseases, follow-up, effect sizes or validation details, so the accuracy and generality of the clocks remain unclear.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Sándor P, Kerepesi C, Castro JP. · europepmc.org · June 6, 2026