Evidence map›Paper›PMID 31309734›Full record

ArticleAging cell2019

New label-free automated survival assays reveal unexpected stress resistance patterns during C. elegans aging.

Alexandre Benedetto, Timothée Bambade, Catherine Au, Jennifer M A Tullet, Jennifer Monkhouse, Hairuo Dang, Kalina Cetnar, Brian Chan, Filipe Cabreiro, David Gems

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Meta-Analysis ofFrontiers in microbiology · 2022
    Article
  6. Review
  7. Elevated Trehalose Levels inMetabolites · 2021
    Article
  8. Article
  9. Article
  10. ApplyingFrontiers in aging · 2021
    Article
  11. Phenotypic Screening inPharmaceuticals (Basel, Switzerland) · 2020
    Review
  12. Translational medicine of aging · 2020
    Article
  13. 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

10 authors at 5 institutions in 1 country.

Alexandre BenedettoDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.ORCID 0000-0002-4593-2114
Timothée BambadeDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.
Catherine AuDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.ORCID 0000-0002-1923-9121
Jennifer M A TulletDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.ORCID 0000-0002-2037-526X
Jennifer MonkhouseDivision of Biomedical and Life Sciences, Lancaster University, Lancaster, UK.
Hairuo DangDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.
Kalina CetnarDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.
Brian ChanDivision of Infection, Immunity & Respiratory Medicine, University of Manchester, Manchester, UK.ORCID 0000-0002-9451-4621
Filipe CabreiroDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.ORCID 0000-0002-3696-4843
David GemsDepartment of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.ORCID 0000-0002-6653-4676
University College London · GBLancaster University · GBMRC London Institute of Medical Sciences · GBUniversity of Kent · GBUniversity of Manchester · GB

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
European Framework Program FP6-518230NIH HHS 098565NIH HHS P40 OD010440Wellcome TrustWellcome Trust 098565/Z/12/Z
6 · The paper itself

Abstract

Caenorhabditis elegans is an excellent model for high-throughput experimental approaches but lacks an automated means to pinpoint time of death during survival assays over a short time frame, that is, easy to implement, highly scalable, robust, and versatile. Here, we describe an automated, label-free, high-throughput method using death-associated fluorescence to monitor nematode population survival (dubbed LFASS for label-free automated survival scoring), which we apply to severe stress and infection resistance assays. We demonstrate its use to define correlations between age, longevity, and severe stress resistance, and its applicability to parasitic nematodes. The use of LFASS to assess the effects of aging on susceptibility to severe stress revealed an unexpected increase in stress resistance with advancing age, which was largely autophagy-dependent. Correlation analysis further revealed that while severe thermal stress resistance positively correlates with lifespan, severe oxidative stress resistance does not. This supports the view that temperature-sensitive protein-handling processes more than redox homeostasis underpin aging in C. elegans. That the ages of peak resistance to infection, severe oxidative stress, heat shock, and milder stressors differ markedly suggests that stress resistance and health span do not show a simple correspondence in C. elegans.

Indexed as

AutomationStress, PhysiologicalAgingAnimalsCaenorhabditis elegansHomeostasisOxidation-ReductionOxidative StressSurvival AnalysisTemperatureagingautophagyC. elegansinfectionstresssurvival

Identifiers

PMID31309734
PMCPMC6718543
OpenAlexW2959044308

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.