Evidence map›Paper›PMID 42162379›Full record

ReviewNature aging2026

From whole-body to organ-specific biological age clocks.

Andrew Zalesky, Junhao Wen, Ye Ella Tian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrew ZaleskySystems Lab, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia. azalesky@unimelb.edu.au.ORCID http://orcid.org/0000-0003-2298-9908
Junhao WenLaboratory of AI and Biomedical Science (LABS), Department of Radiology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0003-2077-3070
Ye Ella TianSystems Lab, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia. ye.tian2@unimelb.edu.au.ORCID http://orcid.org/0000-0003-3107-5550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent work leveraging omics and imaging data now enables the estimation of aging at the level of individual organs. Emerging findings suggest that organs age at different rates, which may be linked to environmental exposures and genetic factors. However, premature aging in one organ may also drive aging in connected organs within multi-organ aging networks. Here, we outline methods for measuring organ-specific biological age and discuss insights derived from recent progress in multi-organ aging research. We put forward recommendations, best practices and research priorities, including the importance of longitudinal tracking, biomarkers with high organ specificity and reference ranges for organ age gaps. We envision routine organ-specific biological age assessments as tools for developing personalized organ aging maps and tracking organ aging across the life course, thereby facilitating early, targeted interventions to delay organ-specific decline and interorgan consequences.

Indexed as

AgingBiological ClocksAnimalsBiomarkersHumansOrgan SpecificityBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.