ArticleNature communications2020
The precursor of PI(3,4,5)P
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Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Lifespan-Extending Endogenous Metabolites.Aging cell · 2026Review
- Serum phospholipids during aging: A comprehensive systematic review of cross-sectional and case-control studies.Health promotion perspectives · 2025Review
- ApoE2 affects insulin signaling in the hippocampus and spatial cognition of aged mice in a sex-dependent manner.Cell communication and signaling : CCS · 2025Article
- Tauroursodeoxycholic acid targets HSP90 to promote protein homeostasis and extends healthy lifespan.Science China. Life sciences · 2025Article
- Partial inhibition of class III PI3K VPS-34 ameliorates motor aging and prolongs health span.PLoS biology · 2023Article
- The Attenuation of Insulin/IGF-1 Signaling Pathway Plays a Crucial Role in the Myo-Inositol-Alleviated Aging inInternational journal of molecular sciences · 2023Article
- Article
- The landscape of aging.Science China. Life sciences · 2022Review
- Article
- Metabolic engineering of Pichia pastoris for myo-inositol production by dynamic regulation of central metabolism.Microbial cell factories · 2022Article
- Genetic analysis of DAF-18/PTEN missense mutants for the ability to maintain quiescence of the somatic gonad and germ line in Caenorhabditis elegans dauer larvae.G3 (Bethesda, Md.) · 2022Article
- Article
- The PI3K/AKT Pathway andGenes · 2022Article
- Metabolomic Profiles of Mouse Tissues Reveal an Interplay between Aging and Energy Metabolism.Metabolites · 2021Article
- Autophagy in healthy aging and disease.Nature aging · 2021Review
- An Integrated Metabolomic Study of Osteoporosis: Discovery and Quantification of Hyocholic Acids as Candidate Markers.Frontiers in pharmacology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 1 country.
Dawei Shi *Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Xian Xia *Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.ORCID http://orcid.org/0000-0002-7772-0618
Aoyuan Cui *University of Chinese Academy of Sciences, Beijing, 100049, P.R. China.
Zhongxiang XiongKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Yizhen YanKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.ORCID http://orcid.org/0000-0001-7508-9861
Jing LuoKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Guoyu ChenKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Yingying ZengKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Donghong CaiKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Lei HouKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.ORCID http://orcid.org/0000-0003-0540-2706
Joseph McDermottKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China.
Yu LiCAS Key Laboratory of Nutrition, Metabolism and Food Safety, SINH, SIBS, CAS, Shanghai, 200031, P.R. China.ORCID http://orcid.org/0000-0001-6910-5933
Hong ZhangUniversity of Chinese Academy of Sciences, Beijing, 100049, P.R. China.
Jing-Dong J HanKey Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology (PICB), Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai, 200031, P.R. China. jackie.han@pku.edu.cn.ORCID http://orcid.org/0000-0002-9270-7139
Chinese Academy of Sciences · CNShanghai Institute of Nutrition and Health · CNInstitute of Biophysics · CNPeking University · CN
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is characterized by the loss of homeostasis and the general decline of physiological functions, accompanied by various degenerative diseases and increased rates of mortality. Aging targeting small molecule screens have been performed many times, however, few have focused on endogenous metabolic intermediates-metabolites. Here, using C. elegans lifespan assays, we conducted a worm metabolite screen and identified an eukaryotes conserved metabolite, myo-inositol (MI), to extend lifespan, increase mobility and reduce fat content. Genetic analysis of enzymes in MI metabolic pathway suggest that MI alleviates aging through its derivative PI(4,5)P
Indexed as
AgingAnimalsAnimals, Genetically ModifiedCaenorhabditis elegansCaenorhabditis elegans ProteinsCell Line, TumorFemaleForkhead Transcription FactorsInositolLocomotionLongevityMetabolic Networks and PathwaysMetabolomicsMiceMitophagyModels, AnimalCaenorhabditis elegans Proteinsdaf-16 protein, C elegansDAF-18 protein, C elegansForkhead Transcription FactorsInositolphosphatidylinositol 3,4,5-triphosphatePhosphatidylinositol Phosphatespink-1 protein, C elegansProtein KinasesProtein Serine-Threonine KinasesPTEN-Induced Putative KinasePTEN PhosphohydrolasePten protein, mouse
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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 Socratic graph.