ReviewAging cell2026
Multi-Omics Signatures of Organ Clocks in Biological Aging and Disease: A Conceptual Framework for Organ-Specific Aging Clocks.
Review in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological aging reflects the progressive decline in cellular and tissue function. Unlike chronological age, biological age is a more accurate indicator of physiological state. Multi-omics organ clocks have been emerging as promising tools to assess biological aging by integrating genomic, epigenomic, transcriptomic, proteomic, and metabolomic data. These conceptual frameworks suggest that individual organs may age at different rates, explaining variability in the onset and progression of age-related diseases. However, separate interpretation may overlook the correlation between different omics analyses. A comprehensive, multidimensional analysis is therefore preferred over individual omics for accurate assessment of biological aging. While a comprehensive, multidimensional analysis may provide more holistic insights than single-omics approaches, the practical implementation of multi-omics clocks remains limited in clinical settings due to technical differences across omics platforms and dataset availability. This review evaluates current biological clock approaches and explores strategies for multi-omics integration. By addressing conceptual and methodological gaps, we propose a framework for the development of robust multi-omics aging clocks.
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Registered trials
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