Evidence map›Paper›PMID 35610223›Full record

ArticleSignal transduction and targeted therapy2022

Lipid metabolism dysfunction induced by age-dependent DNA methylation accelerates aging.

Xin Li, Jiaqiang Wang, LeYun Wang, Yuanxu Gao, Guihai Feng, Gen Li, Jun Zou, Meixin Yu, Yu Fei Li, Chao Liu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Pooled it
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  6. 3D epigenomic landscape of the human retinal pigment epithelium.Proceedings of the National Academy of Sciences of the United States of America · 2026
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12 more citing papers are in PubMed but not listed here.

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

17 authors at 6 institutions in 3 countries.

Xin Li *State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Jiaqiang Wang *State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
LeYun Wang *State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Yuanxu Gao *State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Tapai, Macau, 999078, China.
Guihai FengState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Gen LiGuangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Jun ZouClinical Translational Innovation Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Meixin YuGuangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, 510623, China.
Yu Fei LiState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Chao LiuState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Xue Wei YuanState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.
Ling ZhaoZhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China.
Hong OuyangZhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China.ORCID 0000-0002-7622-7733
Jian-Kang ZhuInstitute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China. zhujk@sustech.edu.cn.
Wei LiState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China. liwei@ioz.ac.cn.ORCID 0000-0001-7864-404X
Qi ZhouState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China. qzhou@ioz.ac.cn.
Kang ZhangFaculty of Medicine, Macau University of Science and Technology, Tapai, Macau, 999078, China. kang.zhang@gmail.com.
Chinese Academy of Sciences · CNMacau University of Science and Technology · MOGuangzhou Women and Children Medical Center · CNSun Yat-sen University · CNSichuan University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic alterations and metabolic dysfunction are two hallmarks of aging. However, the mechanism of how their interaction regulates aging, particularly in mammals, remains largely unknown. Here we show ELOVL fatty acid elongase 2 (Elovl2), a gene whose epigenetic alterations are most highly correlated with age prediction, contributes to aging by regulating lipid metabolism. We applied artificial intelligence to predict the protein structure of ELOVL2 and the interaction with its substrate. Impaired Elovl2 function disturbs lipid synthesis with increased endoplasmic reticulum stress and mitochondrial dysfunction, leading to key aging phenotypes at both cellular and physiological level. Furthermore, restoration of mitochondrial activity can rescue age-related macular degeneration (AMD) phenotypes induced by Elovl2 deficiency in human retinal pigmental epithelial (RPE) cells; this indicates a conservative mechanism in both human and mouse. Taken together, we revealed an epigenetic-metabolism axis contributing to aging and illustrate the power of an AI-based approach in structure-function studies.

Indexed as

AgingDNA MethylationLipid MetabolismMacular DegenerationAnimalsArtificial IntelligenceHumansMice

Identifiers

PMID35610223
PMCPMC9130224
OpenAlexW4281696767

What OpenQuestion holds

Textmetadata
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.