Evidence map›Paper›PMID 41043431›Full record

ArticleCell genomics2025

Multi-omic underpinnings of heterogeneous aging across multiple organ systems.

Jie Xiong, Xiaoting Zhu, Yutong Guo, Hao Tang, Chengji Dong, Bo Wang, Mengran Liu, Zhaoyue Li, Yingfeng Tu

Abstract read
In one paragraph

Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
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  11. Tissue-specific changes in antioxidant defence during ageing: the effect of chronic cold exposure.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2026
    Article
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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

9 authors.

Jie XiongDepartment of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin 150000, China.
Xiaoting ZhuDepartment of Anesthesiology, The First Affiliated Hospital of Jiamusi University, Jiamusi 154000, China.
Yutong GuoDepartment of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin 150000, China.
Hao TangDepartment of Cardiology, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou 313000, China.
Chengji DongDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, 30625 Hannover, Germany.
Bo WangDepartment of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin 150000, China.
Mengran LiuDepartment of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin 150000, China.
Zhaoyue LiDepartment of Cardiology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou Key Lab of Innovation Frontiers in Cardiovascular Disease, Yangzhou 225000, China. Electronic address: zhaoyuelidr@163.com.
Yingfeng TuDepartment of Cardiology, The First Affiliated Hospital, Harbin Medical University, Harbin 150000, China; Department of Cardiology, The Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan 030000, China. Electronic address: tyfdoctor@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is the main determinant of chronic diseases and mortality, yet organ-specific aging trajectories vary, and the molecular basis underlying this heterogeneity remains unclear. To elucidate this, we integrated genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, employing post-genome-wide association study methodologies to systematically investigate the molecular mechanisms of nine organ-specific aging clocks and four blood-based epigenetic clocks. We uncovered genetic correlations and specific phenotypic clusters among these aging-related traits, identified prioritized genetic drug targets for heterogeneous aging, and elucidated downstream proteomic and metabolomic effects mediated by heterogeneous aging. We constructed a cross-layer molecular interaction network of heterogeneous aging across multiple organ systems and characterized detectable biomarkers of this heterogeneity. Integrating these findings, we developed an R/Shiny-based framework that provides a comprehensive multi-omic molecular landscape of heterogeneous aging, thereby advancing the understanding of aging heterogeneity and informing precision medicine strategies to delay organ-specific aging and prevent or treat its associated chronic diseases.

Indexed as

AgingAnimalsBiomarkersEpigenesis, GeneticEpigenomicsGenome-Wide Association StudyGenomicsHumansMaleMetabolomicsMultiomicsOrgan SpecificityProteomicsTranscriptomeBiomarkersdrug target prioritizationepigenetic age accelerationgenome-wide association studyheterogeneous agingmolecular quantitative trait locimulti-omicsmulti-organ aging networkorgan-specific biological age gap

Identifiers

PMID41043431
PMCPMC12802651

What OpenQuestion holds

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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.