Evidence map›Paper›PMID 40113759›Full record

ArticleNature communications2025

Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence.

Ziyi Wang, Siyuan Ge, Tiepeng Liao, Man Yuan, Wenwei Qian, Qi Chen, Wei Liang, Xiawei Cheng, Qinghua Zhou, Zhenyu Ju and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Food science & nutrition · 2026
    Article
  2. HIF1AJournal for immunotherapy of cancer · 2026
    Article
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  12. Food science & nutrition · 2026
    Article
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  14. Article
  15. Review
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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

12 authors.

Ziyi WangDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.
Siyuan GeDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.
Tiepeng LiaoDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.ORCID http://orcid.org/0000-0003-0231-4401
Man YuanDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.
Wenwei QianDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.
Qi ChenDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.ORCID http://orcid.org/0000-0002-4978-1974
Wei LiangDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China.
Xiawei ChengSchool of Pharmacy, Optogenetics & Synthetic Biology Interdisciplinary Research Center, East China University of Science and Technology, 200237, Shanghai, China.ORCID http://orcid.org/0000-0003-1833-9937
Qinghua ZhouKey Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Department of Developmental & Regenerative Medicine, College of Life Science and Technology, Jinan University, 510632, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0003-0468-9266
Zhenyu JuKey Laboratory of Regenerative Medicine of Ministry of Education, Institute of Aging and Regenerative Medicine, Department of Developmental & Regenerative Medicine, College of Life Science and Technology, Jinan University, 510632, Guangzhou, Guangdong, China.ORCID http://orcid.org/0009-0007-4550-4543
Hongying ZhuDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China. zhuhy62@ustc.edu.cn.ORCID http://orcid.org/0000-0002-1245-817X
Wei XiongDepartment of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, China. wxiong@ustc.edu.cn.ORCID http://orcid.org/0000-0002-1585-3749

Funding

National Natural Science Foundation of China (National Science Foundation of China) 21974130National Natural Science Foundation of China (National Science Foundation of China) 32121002National Natural Science Foundation of China (National Science Foundation of China) 32225020National Natural Science Foundation of China (National Science Foundation of China) 32322033National Natural Science Foundation of China (National Science Foundation of China) 32430045National Natural Science Foundation of China (National Science Foundation of China) 32471080National Natural Science Foundation of China (National Science Foundation of China) 91849116
6 · The paper itself

Abstract

Emerging evidence has unveiled heterogeneity in phenotypic and transcriptional alterations at the single-cell level during oxidative stress and senescence. Despite the pivotal roles of cellular metabolism, a comprehensive elucidation of metabolomic heterogeneity in cells and its connection with cellular oxidative and senescent status remains elusive. By integrating single-cell live imaging with mass spectrometry (SCLIMS), we establish a cross-modality technique capturing both metabolome and oxidative level in individual cells. The SCLIMS demonstrates substantial metabolomic heterogeneity among cells with diverse oxidative levels. Furthermore, the single-cell metabolome predicted heterogeneous states of cells. Remarkably, the pre-existing metabolomic heterogeneity determines the divergent cellular fate upon oxidative insult. Supplementation of key metabolites screened by SCLIMS resulted in a reduction in cellular oxidative levels and an extension of C. elegans lifespan. Altogether, SCLIMS represents a potent tool for integrative metabolomics and phenotypic profiling at the single-cell level, offering innovative approaches to investigate metabolic heterogeneity in cellular processes.

Indexed as

Cellular SenescenceMetabolomeMetabolomicsSingle-Cell AnalysisAnimalsCaenorhabditis elegansHumansMass SpectrometryOxidation-ReductionOxidative StressPhenotype

Identifiers

PMID40113759
PMCPMC11926267

What OpenQuestion holds

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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.