Evidence map›Paper›PMID 41063300›Full record

ArticleGenome medicine2025

Ten mouse organs proteome and metabolome atlas from adult to aging.

Qingwen Wang, Zhixiao Xu, Xinwen Ding, Aiting Wang, Sunfengda Song, Shuang Zhang, Youming Chen, Yi Ding, Lai Jiang, Xianting Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome medicine, 2025. 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. Review
  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

10 authors.

Qingwen WangDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Zhixiao XuDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xinwen DingDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Aiting WangDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Sunfengda SongDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Shuang ZhangDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Youming ChenDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yi DingDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Lai JiangDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xianting DingDepartment of Anesthesiology and Surgical Intensive Care Unit, School of Medicine and School of Biomedical Engineering, Xinhua Hospital, Shanghai Jiao Tong University, Shanghai, China. dingxianting@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging is a complex biological process characterized by progressive molecular alterations across multiple organ systems, significantly influencing disease susceptibility and mortality. Unraveling molecular interactions driving aging is crucial for interventions promoting healthy aging and mitigating senescence. However, the systemic mechanisms governing both inter-organ interactions and organ-specific aging trajectories remain incompletely characterized.

methodsTo investigate the molecular dynamics of aging, we conducted a systematic multi-omics analysis of 400 tissue samples collected from 10 organs (brain, heart, intestine, kidney, liver, lung, muscle, skin, spleen, and stomach) in mice at four distinct life stages: 4, 8, 12, and 20 months (from youth to elderly). Proteomic profiling was performed using data-independent acquisition (DIA) technology, while metabolomic analysis was performed in both positive and negative ion modes. Differential expression analysis of proteins and metabolites was employed to construct a comprehensive multi-organ aging dataset.

resultsProteomic profiling across ten organs at four age stages identified a total of 14,763 protein groups (PGs). Of these, 18 proteins, including Ighm, C4b, and Hpx, exhibited consistent age-related differential expression patterns across all ten organs. Functional enrichment analysis highlighted the humoral immune response as a primary driver of age-related expression changes. Additionally, this study mapped a set of age-unique proteins, such as Hp, Egf, and Arg, with distinct expression patterns in aging organs. Metabolic analysis identified 3779 metabolites, with key aging-related metabolites such as NAD+, inosine, xanthine, and hypoxanthine showing significant expression changes across multiple organs. Pathway enrichment analysis revealed consistent alterations in purine metabolism, pyrimidine metabolism, riboflavin metabolism, and nicotinate/nicotinamide metabolism during multi-organ aging.

conclusionsThis study provides a multi-omics atlas of multi-organ aging, revealing both intra- and inter-organ similarities and heterogeneities. These findings offer valuable insights into the molecular mechanisms underlying geriatric health decline and serve as a foundational resource for organism-systematic early warning and targeted interventions against aging-associated pathologies.

Indexed as

AgingMetabolomeProteomeAnimalsMaleMetabolomicsMiceOrgan SpecificityProteomicsProteomeAgingMetabolomicsMulti-organsProteomics

Identifiers

PMID41063300
PMCPMC12505602

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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.