Evidence mapPaperPMID 41220160Full record

ArticleBrain and behavior2025

Longevity Code: Lipidome Associations and Mediated Metabolite Effects.

Yunfeng Yu, Xinyu Yang, Juan Deng, Jingyi Wu, Rong Yu, Qin Xiang

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In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yunfeng YuSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Xinyu YangSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Juan DengSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Jingyi WuThe Third School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Rong YuSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.
Qin XiangSchool of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.

Funding

Hunan University of Chinese Medicine Disciplinary Construction' Revealing the List and Appointing Leaders' Project
6 · The paper itself

Abstract

objectiveThe effects of lipidome on longevity and the role of metabolites in between have not been fully elucidated. The purpose of this study was to assess the causal effects of lipidome on longevity and the mediated effects of metabolites using Mendelian randomization (MR).

methodsData on lipidome, metabolites, and longevity were acquired in the genome-wide association studies, and single-nucleotide polymorphisms meeting the basic assumptions of MR were selected. Subsequently, inverse variance weighted was employed as the primary method to analyze the causal effects of lipidome on longevity and the mediated effects of metabolites. Finally, MR-Egger intercept was used to assess horizontal pleiotropy in the results. Cochran's Q and leave-one-out sensitivity analysis were used to assess the heterogeneity and robustness of the results, respectively.

resultsThe MR analysis showed that sterol ester (27:1/18:3) decreased genetic susceptibility to longevity (90th) by reducing ethylenediaminetetraacetic acid (EDTA) levels (mediated proportion: 13.60%; mediated effect: -0.020, 95% confidence interval [CI] -0.039 to -0.002, p = 0.033); triacylglycerol (52:2) decreased genetic susceptibility to longevity (90th) by reducing EDTA levels (mediated proportion: 11.20%; mediated effect: -0.025, 95% CI -0.045 to -0.004, p = 0.020); triacylglycerol (54:5) decreased genetic susceptibility to longevity (90th) by increasing 1-arachidonoyl-gpc (20:4n6) levels (mediated proportion:8.37%; mediated effect: -0.010, 95% CI -0.021 to -9.44e-05, p = 0.048); phosphatidylcholine (O-16:0_18:2) increased genetic susceptibility to longevity (90th) by increasing EDTA levels (mediated proportion: 22.10%; mediated effect: 0.029, 95% CI 0.007-0.050, p = 0.008). MR-Egger intercept showed that these results lacked horizontal pleiotropy (p ≥ 0.05). Cochran's Q and sensitivity analysis showed that the MR results had no heterogeneity and were robust.

conclusionThe MR analysis revealed four pathways through which lipidome regulates longevity via metabolites. Lipidome such as sterol ester (27:1/18:3), phosphatidylcholine (O-16:0_18:2), triacylglycerol (52:2), and triacylglycerol (54:5), as well as metabolites such as EDTA and 1-arachidonoyl-gpc (20:4n6), may play important roles in longevity.

Indexed as

Lipid MetabolismLipidomicsLongevityMetabolomeGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideTriglyceridesTriglycerideslipidomelongevitymediated effectMendelian randomizationmetabolites

Identifiers

PMID41220160
PMCPMC12611319

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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.