Evidence map›Paper›PMID 40492083›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Contextualizing molecular and structural aging across human organs.

Juan Shu, Yuxin Guo, Julio Chirinos, Zirui Fan, Yilin Yang, Yujue Li, Xiaochen Yang, Cameron Beeche, Buxin Su, Iris Horng and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Juan ShuDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yuxin GuoDepartment of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA.
Julio ChirinosDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Zirui FanDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yilin YangDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yujue LiDepartment of Statistics, Purdue University, West Lafayette, IN 47907, USA.
Xiaochen YangDepartment of Statistics, Purdue University, West Lafayette, IN 47907, USA.
Cameron BeecheDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Buxin SuApplied Mathematics and Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA.
Iris HorngDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rong ZhengDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Peristera PaschouDepartment of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA.
Li-San WangPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Joan M O'BrienScheie Eye Institute, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ruben GurLifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA.
Jinjie LinYale School of Management, Yale University, New Haven, CT 06511, USA.
Walter WitscheyDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel J RaderDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Anthony RosenzweigStanley and Judith Frankel Institute for Heart and Brain Health, University of Michigan Medical Center, Ann Arbor, MI 48109, USA.
Bingxin ZhaoDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-0979-7891

Funding

Penn Mental Health AIDS Research CenterP30MH097488 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Knashawn Hodge Morales · 2013 to 2026
$23.5M
Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's DiseaseR01AG085581 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, Hongtu Zhu · 2024 to 2026
$3.7M
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
Shared neural basis and genetic architecture of psychiatric disordersR01MH136055 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Bingxin Zhao · 2025 to 2026
$1.3M
NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938NIMH NIH HHS P30 MH097488NIMH NIH HHS R01 MH136055
6 · The paper itself

Abstract

Organ-specific aging clocks have shown promise as predictors of disease risk and aging trajectories; however, the underlying biological mechanisms they reflect remain largely unexplored. Here, we use large-scale proteomic and imaging data to investigate the relationships among organ-specific and modality-specific aging clocks and to uncover the biological processes they represent. By estimating paired protein-based and imaging-based aging clocks across 8 major organs, we demonstrate that these omics and structural profiles exhibit distinct phenotypic and genetic signatures, each potentially quantifying different stages and playing complementary roles within a unified biological aging process. Furthermore, context-specific aging clocks from multiple organs often converge and jointly capture established biological and disease pathways. For example, 65.7% of the KEGG Alzheimer's disease pathway is enriched by at least one of 11 protein- and imaging-based aging clocks, with each clock representing different components of the pathway. These results underscore the importance of a pan-organ multi-modal perspective for quantifying the mechanisms underlying age-related diseases. Additionally, we identify modality-specific links between aging clocks and complex diseases and lifestyle factors. In summary, we uncover intricate relationships among molecular and structural aging clocks across human organs, providing novel insights into their context-specific roles in capturing consequences of aging biology and their implications for disease risk.

Indexed as

Biological agingMagnetic resonance imagingMolecular and structural biologyNetwork biologyPlasma proteinsUK Biobank

Identifiers

PMID40492083
PMCPMC12148262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.