Blood homeostatic state space for immune ageing: persistence gain, reserve loss, constrained dynamics
In an abstract, a rebuilt blood HRSM framework applied to repeated-measures IMM-AGE data linked published immune age to higher retained persistence, lower reserve-like support and lower coherence; persistence was not portable as a fixed molecular family. [1]
Automatic summary · not editorially reviewed
The key findings
A rebuilt blood HRSM framework was applied to a primary repeated-measures IMM-AGE cellular object and supporting transcriptomic blood branches. [1]
Published immune age aligned strongly with higher retained persistence, lower reserve-like support and lower coherence, while recoverability was weak. [1]
Persistence was not portable as a fixed molecular family and was better interpreted as a context-sensitive behaviour. [1]
The source at a glance
- Study type / format
- Abstract of a modelling study using repeated-measures and transcriptomic data
- Population / context
- Blood-derived longitudinal measurements in a primary IMM-AGE cellular object and supporting transcriptomic blood datasets (GSE213313, GSE324831).
- Summary based on
- Study abstract
- Publication status
- Preprint · peer-review status not confirmed
- Original publication
- June 5, 2026
Rebuilt blood HRSM tested on IMM-AGE repeated measures
The study asks whether blood-derived longitudinal measurements can be represented as a structured homeostatic state space rather than only as individual biomarkers or scalar immune-age models. A rebuilt blood HRSM framework was applied to a primary repeated-measures IMM-AGE cellular object and to supporting transcriptomic blood branches. The state vector was defined by reserve-like support, trajectory recoverability, coherence or volatility control, and retained persistence.
Supporting source [1]
Immune age aligned with persistence, reserve and coherence
In the primary IMM-AGE object, published immune age aligned strongly with higher retained persistence, lower reserve-like support and lower coherence, while recoverability was weak. The strongest single cellular driver was naive CD8+ T-cell decline. Longitudinal tests showed temporal memory was strongest in the persistence axis, with reserve-like support moving in the opposite direction. A subject-level persistence index indicated stronger preservation of the 2008 blood-state configuration in younger baseline subjects. Joint HRSM entropy declined across time, suggesting compression of the accessible multivariate blood-state distribution.
Supporting source [1]
Sensitivity checks and limited cross-dataset portability
Sensitivity checks preserved the central ageing polarity after removal of PD1 from the persistence map, use of a reduced core map, and removal of broad lymphocyte-bulk support terms. Supporting GSE213313 analyses provided a completed transcriptomic blood branch with negative controls, comparators and cross-dataset validation against GSE324831. Cross-dataset portability was strongest for support, recoverability and coherence families, whereas persistence was not portable as a fixed molecular family and was better interpreted as a context-sensitive behaviour. The results support blood HRSM as a systemic gateway representation of immune ageing, not as a replacement for existing immune-age clocks and not as a universal molecular-memory claim.
Supporting source [1]
How to interpret this
This is based on the abstract only; the full text was not reviewed. Design details, sample sizes and follow-up are not reported in the abstract, and the findings are associations, not causal claims.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Atalebe S. · europepmc.org · June 5, 2026