Evidence map›Paper›PMID 39407444›Full record

ArticleAging cell2025

The translation initiation factor eIF2α regulates lipid homeostasis and metabolic aging.

Haipeng Huang, Yilie Liao, Ning Li, Xingfan Qu, Chaocan Li, Jiaqi Hou

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Haipeng HuangSchool of Life Sciences, Tsinghua University, Beijing, China.ORCID 0000-0001-5525-6845
Yilie LiaoSchool of Life Sciences, Tsinghua University, Beijing, China.
Ning LiSchool of Life Sciences, Tsinghua University, Beijing, China.
Xingfan QuSchool of Life Sciences, Tsinghua University, Beijing, China.
Chaocan LiTianjin Key Laboratory of Aquatic Science and Technology, School of Environmental and Municipal Engineering, Tianjin Chengjian University, Tianjin, China.
Jiaqi HouState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.

Funding

National Key Research and Development Program of China 2016YFA0502002National Key Research and Development Program of China 2017YFA0504603National Natural Science Foundation of China NSFC; 81471072
6 · The paper itself

Abstract

Aging is usually accompanied by excessive body fat gain, leading to increased susceptibility to comorbidities. This study aimed to explore an unexpected function for the eukaryotic initiation factor-2α (eIF2α) during aging. Reducing the eIF2α dose led to a reconfiguration of the metabolic equilibrium, promoting catabolism, facilitating lipolysis, and decreasing body fat accumulation while maintaining healthy glucose and lipid metabolism during aging. Specifically, eIF2α enhanced the expression of distinct messenger RNAs encoding mitochondrial electron transport chain proteins at the translation level. The mitochondrial respiration increased in eIF2α heterozygotes, even during aging. Deceleration of translation was demonstrated as a conserved mechanism for promoting longevity across various species. Our findings demonstrated that the restriction of translation by reducing eIF2α expression could fend off multiple tissue damage and improve metabolic homeostasis during aging. Hence, eIF2α was a crucial target for benefiting mammalian aging achieving delayed mammalian aging.

Indexed as

AgingEukaryotic Initiation Factor-2HomeostasisLipid MetabolismAnimalsHumansMiceMitochondriaEukaryotic Initiation Factor-2agingeIF2αISRlipid metabolismmitochondriatranslation

Identifiers

PMID39407444
PMCPMC11709108

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.