Evidence map›Paper›PMID 29120414›Full record

ArticleNature2017

Genetic variation in glia-neuron signalling modulates ageing rate.

Jiang-An Yin, Ge Gao, Xi-Juan Liu, Zi-Qian Hao, Kai Li, Xin-Lei Kang, Hong Li, Yuan-Hong Shan, Wen-Li Hu, Hai-Peng Li and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  6. Review
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  17. Ethyl acetate extract ofExperimental and therapeutic medicine · 2023
    Article
  18. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Jiang-An YinInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Ge GaoInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Xi-Juan LiuInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Zi-Qian HaoUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Kai LiInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Xin-Lei KangInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Hong LiCore Facility of Molecular Biology, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, 200031, China.
Yuan-Hong ShanCore Facility Center of the Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
Wen-Li HuCore Facility Center of the Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
Hai-Peng LiCAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
Shi-Qing CaiInstitute of Neuroscience and State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Chinese Academy of Sciences · CNCenter for Excellence in Brain Science and Intelligence Technology · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of behavioural decline in the ageing population is remarkably variable among individuals. Despite the considerable interest in studying natural variation in ageing rate to identify factors that control healthy ageing, no such factor has yet been found. Here we report a genetic basis for variation in ageing rates in Caenorhabditis elegans. We find that C. elegans isolates show diverse lifespan and age-related declines in virility, pharyngeal pumping, and locomotion. DNA polymorphisms in a novel peptide-coding gene, named regulatory-gene-for-behavioural-ageing-1 (rgba-1), and the neuropeptide receptor gene npr-28 influence the rate of age-related decline of worm mating behaviour; these two genes might have been subjected to recent selective sweeps. Glia-derived RGBA-1 activates NPR-28 signalling, which acts in serotonergic and dopaminergic neurons to accelerate behavioural deterioration. This signalling involves the SIR-2.1-dependent activation of the mitochondrial unfolded protein response, a pathway that modulates ageing. Thus, natural variation in neuropeptide-mediated glia-neuron signalling modulates the rate of ageing in C. elegans.

Indexed as

Genetic VariationAgingAllelesAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsDopaminergic NeuronsFemaleGenetics, PopulationLocomotionLongevityMaleNeurogliaNeuronsPharynxPolymorphism, Single NucleotideCaenorhabditis elegans ProteinsNPR-32 protein, C elegansReceptors, G-Protein-CoupledSIR-2.1 protein, C elegansSirtuins

Identifiers

PMID29120414
OpenAlexW2768007707

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.