Review proposes ORGAN-AGE framework for interpreting organ and cross-organ biological age gaps
This review synthesizes evidence on biological age models from molecular, imaging, digital, clinical and multi-omic data and proposes ORGAN-AGE as an interpretive framework. It argues organ age gaps can localize apparent aging burden, while cross-organ coupling is only a graded inference absent stronger evidence. [1]
Automatic summary · not editorially reviewed
The key findings
The review distinguishes organ-derived, organ-enriched, organ-informative, system-informative and systemic biomarkers because circulating molecular signals rarely prove tissue origin. [1]
Organ age gaps can localize apparent aging burden, but cross-organ coupling is a graded inference unless longitudinal, molecular, genetic, functional or experimental support exists. [1]
Organ aging models may support risk interpretation, trial enrichment, target prioritization and digital-twin research only after calibration, transportability, incremental utility and clinical end-use are demonstrated. [1]
The source at a glance
- Study type / format
- Review (abstract only)
- Population / context
- Evidence on biological age models from molecular, imaging, digital, clinical and multi-omic data, as synthesized in a review
- Summary based on
- Study abstract
- Original publication
- July 6, 2026
Heterogeneous multi-system aging and biomarker categories
The review describes biological aging as a heterogeneous, multi-system process marked by organ-level vulnerability, cross-organ coordination and variation in resilience. It notes that plasma proteomics, metabolomics, imaging, DNA methylation, digital biomarkers and genetic epidemiology have enabled organ-level, system-level and cross-organ age models. The authors distinguish organ-derived, organ-enriched, organ-informative, system-informative and systemic biomarkers, because circulating molecular signals rarely prove tissue origin.
Supporting source [1]
Age gaps, cross-organ coupling and resilience as graded inferences
The review critically evaluates how age gaps are constructed, bias-corrected, validated, interpreted and linked to mortality, frailty, dementia, cardiovascular disease, diabetes complications, multimorbidity and functional decline. A central argument is that organ age gaps can localize apparent aging burden, whereas cross-organ coupling should be treated as a graded inference rather than evidence of direct biological propagation unless longitudinal, molecular, genetic, functional or experimental support is available. Resilience should be operationalized through recovery, adaptation and trajectory change rather than inferred from static biomarkers alone.
Supporting source [1]
Staged roadmap before clinical use of organ aging models
The authors outline a staged translational roadmap in which organ aging models may support risk interpretation, trial enrichment, target prioritization and future digital-twin research only after calibration, transportability, incremental utility and clinical end-use have been demonstrated. They also state that these measures are often interpreted more strongly than the evidence permits.
Supporting source [1]
How to interpret this
This is an abstract of a review; the full text was not reviewed. The abstract describes a proposed interpretive framework (ORGAN-AGE) and a staged roadmap, not validated clinical tools. Associations with mortality, frailty, dementia and other outcomes are discussed as links to be critically evaluated, not as established causal effects.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Li QM, Ge XX, Wen TJ, Zhang LW, Liu HY, Shi XW, Liu L, Gong TT, Wu QJ, Gao SY. · europepmc.org · July 6, 2026