Evidence map›Paper›PMID 41708609›Full record

ArticleSignal transduction and targeted therapy2026

Hyperglutaminolysis drives senescence and aging through arginine-mTORC1 axis activation.

Honghan Chen, Ning Huang, Weitong Xu, Yu Yang, Fangfang Wang, Hui Gong, Jiao Zhou, Haoran Tai, Tingting Zhao, Jian Zhang and 8 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Glutamine metabolism in health and disease.Signal transduction and targeted therapy · 2026
    Review
  2. Review
  3. Review
  4. Response to Kawamoto et al.EMBO reports · 2026
    Article
  5. Review
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

18 authors.

Honghan Chen *Laboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Ning Huang *Laboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Weitong Xu *Laboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Yu YangLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Fangfang WangLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Hui GongLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jiao ZhouLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Haoran TaiDevelopment and Regeneration Key Lab of Sichuan Province, Department of Histology and Embryology, Department of Pathology, Chengdu Medical College, Chengdu, China.
Tingting ZhaoLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jian ZhangLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Ying LiLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Ge LiangMetabolomics and Proteomics Technology Platform, West China Hospital, Sichuan University, Chengdu, China.
Minghai TangDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jie LiHuaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ming YangLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jin LiuLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0003-1063-9791
Xiaoli HuangLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Hengyi XiaoLaboratory of aging and geriatric medicine, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China. hengyix@scu.edu.cn.

Funding

China Postdoctoral Science Foundation 2022M722282China Postdoctoral Science Foundation 2023M732473National Natural Science Foundation of China (National Science Foundation of China) 32400972National Natural Science Foundation of China (National Science Foundation of China) 81771511National Natural Science Foundation of China (National Science Foundation of China) 82071589National Natural Science Foundation of China (National Science Foundation of China) 82101629
6 · The paper itself

Abstract

The catabolism of glutamine is essential for living organisms, so that its first step, driven by glutaminase 1 (GLS1), generally referred to as glutaminolysis, plays important roles in physiological metabolism. However, the status and impact of glutaminolysis in pathological contexts such as aging and age-related diseases remain elusive. In this study, through metabolomics analysis and different aging models, we verified the hyperactivation status of glutaminolysis in senescent cells and aged Drosophila and mice, which we term "hyperglutaminolysis". We further confirmed the aging-promoting role of this hyperglutaminolysis by addition and removal intervention experiments. Intriguingly, a novel signaling axis connecting to senescence-associated persistent mTORC1 activation was found. This pathway begins with glutaminase-catalyzed production of ammonium and glutamate, which drives arginine biosynthesis and is subsequently sensed by CASTOR1, leading to persistent mTORC1 activation. The regulatory roles of two key enzymes within this cascade, GLS1 and argininosuccinate lyase (ASL), were specifically investigated and verified by cellular and in vivo experiments, including those using stress-promoted and naturally aged animals, combined with GLS1 and ASL knockdown, and multiple rounds of metabolite analysis. In conclusion, our work positions dysregulated glutaminolysis as a key driver of aging and delineates a previously unrecognized molecular cascade that directly links glutaminolysis, arginine biosynthesis, and mTORC1 activation. These findings significantly expand our understanding of the relationship between glutamine catabolism and aging and are valuable for identifying novel intervention targets aimed at mitigating aging-related processes.

Indexed as

AgingArginineCellular SenescenceGlutaminaseGlutamineMechanistic Target of Rapamycin Complex 1AnimalsHumansIntracellular Signaling Peptides and ProteinsMiceSignal TransductionArginineCASTOR1 protein, humanGlutaminaseGlutamineIntracellular Signaling Peptides and ProteinsMechanistic Target of Rapamycin Complex 1

Identifiers

PMID41708609
PMCPMC12916908

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Registered trials

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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.