Evidence map›Paper›PMID 34315882›Full record

ArticleNature communications2021

Insulin signaling regulates longevity through protein phosphorylation in Caenorhabditis elegans.

Wen-Jun Li, Chen-Wei Wang, Li Tao, Yong-Hong Yan, Mei-Jun Zhang, Ze-Xian Liu, Yu-Xin Li, Han-Qing Zhao, Xue-Mei Li, Xian-Dong He and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.8field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 82 citations in OpenAlex.

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  14. A comprehensive approach, based on the use ofCurrent research in food science · 2025
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  15. Article
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  17. Review
  18. On the lifespan ofAging · 2024
    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

12 authors at 5 institutions in 2 countries.

Wen-Jun Li *School of Life Sciences, Peking University, Beijing, China.ORCID 0000-0003-4204-5621
Chen-Wei Wang *Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Li Tao *National Institute of Biological Sciences, Beijing, China.
Yong-Hong Yan *National Institute of Biological Sciences, Beijing, China.
Mei-Jun ZhangNational Institute of Biological Sciences, Beijing, China.
Ze-Xian LiuKey Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0001-9698-0610
Yu-Xin LiNational Institute of Biological Sciences, Beijing, China.
Han-Qing ZhaoNational Institute of Biological Sciences, Beijing, China.
Xue-Mei LiSchool of Life Sciences, Peking University, Beijing, China.
Xian-Dong HeNational Institute of Biological Sciences, Beijing, China.
Yu XueKey Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China. xueyu@hust.edu.cn.ORCID 0000-0002-9403-6869
Meng-Qiu DongNational Institute of Biological Sciences, Beijing, China. dongmengqiu@nibs.ac.cn.ORCID 0000-0002-6094-1182
National Institute of Biological Sciences, Beijing · CNHuazhong University of Science and Technology · CNPeking University · CNSun Yat-sen University · CNUniversity of California San Diego · US

Funding

WormBase: a core data resource for C. elegans and other nematodesU24HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIM SCHEDL, PAUL Warren STERNBERG · 2018 to 2026
$18.9M
Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
Biotechnology and Biological Sciences Research CouncilMedical Research CouncilNHGRI NIH HHS U24 HG002223NIH HHS P40 OD010440
6 · The paper itself

Abstract

Insulin/IGF-1 Signaling (IIS) is known to constrain longevity by inhibiting the transcription factor FOXO. How phosphorylation mediated by IIS kinases regulates lifespan beyond FOXO remains unclear. Here, we profile IIS-dependent phosphorylation changes in a large-scale quantitative phosphoproteomic analysis of wild-type and three IIS mutant Caenorhabditis elegans strains. We quantify more than 15,000 phosphosites and find that 476 of these are differentially phosphorylated in the long-lived daf-2/insulin receptor mutant. We develop a machine learning-based method to prioritize 25 potential lifespan-related phosphosites. We perform validations to show that AKT-1 pT492 inhibits DAF-16/FOXO and compensates the loss of daf-2 function, that EIF-2α pS49 potently inhibits protein synthesis and daf-2 longevity, and that reduced phosphorylation of multiple germline proteins apparently transmits reduced DAF-2 signaling to the soma. In addition, an analysis of kinases with enriched substrates detects that casein kinase 2 (CK2) subunits negatively regulate lifespan. Our study reveals detailed functional insights into longevity.

Indexed as

Signal TransductionAlgorithmsAmino Acid SequenceAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsGerm CellsHumansInsulinInsulin-Like Growth Factor ILongevityModels, BiologicalMutationPhosphoproteinsPhosphorylationProteomeCaenorhabditis elegans ProteinsInsulinInsulin-Like Growth Factor IPhosphoproteinsProteome

Identifiers

PMID34315882
PMCPMC8316574
OpenAlexW3186340081

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.