Evidence map›Paper›PMID 32029582›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Impaired lipid metabolism by age-dependent DNA methylation alterations accelerates aging.

Xin Li, Jiaqiang Wang, Leyun Wang, Guihai Feng, Gen Li, Meixin Yu, Yufei Li, Chao Liu, Xuewei Yuan, Guangxi Zang and 12 more

RetractedOpen access · greenAbstract readRetracted Publication
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. PAHSAs reduce cellular senescence and protect pancreatic beta cells from metabolic stress through regulation of Mdm2/p53.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Review
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  8. Review
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  10. Article
  11. Review
  12. Review
  13. Role of Long Chain Fatty Acids in Developmental Programming in Ruminants.Animals : an open access journal from MDPI · 2021
    Review
  14. The use of DNA methylation clock in aging research.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  15. Article
  16. Epigenetic Clock: DNA Methylation in Aging.Stem cells international · 2020
    Review
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 6 institutions in 3 countries.

Xin LiWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
Jiaqiang WangState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China.
Leyun WangState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China.
Guihai FengState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China.
Gen LiCenter for Genetic Disease Diagnosis, Guangzhou Women and Children Medical Center, 510005 Guangzhou, China.
Meixin YuCenter for Genetic Disease Diagnosis, Guangzhou Women and Children Medical Center, 510005 Guangzhou, China.
Yufei 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.
Xuewei YuanState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China.
Guangxi ZangDepartment of Bioinformatics, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China.
Zhihuan LiDepartment of Bioinformatics, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China.
Ling ZhaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 510005 Guangzhou, China.
Hong OuyangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 510005 Guangzhou, China.
Qingli QuanCenter for Genetic Disease Diagnosis, Guangzhou Women and Children Medical Center, 510005 Guangzhou, China.
Guangyu WangDepartment of Computer Science and Technology, Tsinghua University, 100084 Beijing, China.
Charlotte ZhangDepartment of Bioinformatics, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China.
Oulan LiDepartment of Bioinformatics, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China.
Junkai XiangFaculty of Medicine, Macau University of Science and Technology, Tapai, 999078 Macau, China.
Jian-Kang ZhuShanghai Center for Plant Stress Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, 210602 Shanghai, China; kang.zhang@gmail.com qzhou@ioz.ac.cn liwei@ioz.ac.cn jkzhu@sibs.ac.cn.ORCID 0000-0001-5134-731X
Wei LiState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China; kang.zhang@gmail.com qzhou@ioz.ac.cn liwei@ioz.ac.cn jkzhu@sibs.ac.cn.
Qi ZhouState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, 100101 Beijing, China; kang.zhang@gmail.com qzhou@ioz.ac.cn liwei@ioz.ac.cn jkzhu@sibs.ac.cn.
Kang ZhangFaculty of Medicine, Macau University of Science and Technology, Tapai, 999078 Macau, China; kang.zhang@gmail.com qzhou@ioz.ac.cn liwei@ioz.ac.cn jkzhu@sibs.ac.cn.
Chinese Academy of Sciences · CNMacau University of Science and Technology · MOGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNSun Yat-sen University · CNTsinghua University · CNWhitehead Institute for Biomedical Research · US

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. Impaired Elovl2 function disturbs lipid synthesis with increased endoplasmic reticulum stress and mitochondrial dysfunction, leading to key accelerated aging phenotypes. Restoration of mitochondrial activity can rescue age-related macular degeneration (AMD) phenotypes induced by Elovl2 deficiency in human retinal pigmental epithelial (RPE) cells. We revealed an epigenetic-metabolism axis contributing to aging and potentially to antiaging therapy.

Indexed as

agingepigenetic alterationER stresslipid metabolismmitochondrial dysfunction

Identifiers

PMID32029582
PMCPMC7049154
OpenAlexW3004528885

What OpenQuestion holds

Textmetadata
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.