Evidence map›Paper›PMID 34723324›Full record

ArticleDisease models & mechanisms2021

Prediction of biological age by morphological staging of sarcopenia in Caenorhabditis elegans.

Ineke Dhondt, Clara Verschuuren, Aleksandra Zečić, Tim Loier, Bart P Braeckman, Winnok H De Vos

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Embracing complexity in Drosophila cancer models.Disease models & mechanisms · 2022
    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 at 2 institutions in 1 country.

Ineke DhondtBiology Department, Ghent University, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.
Clara VerschuurenBiology Department, Ghent University, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.
Aleksandra ZečićBiology Department, Ghent University, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.ORCID 0000-0003-4883-7881
Tim LoierBiology Department, Ghent University, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.
Bart P BraeckmanBiology Department, Ghent University, K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium.
Winnok H De VosLaboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp, 2610 Antwerp, Belgium.ORCID 0000-0003-0960-6781
Ghent University · BEUniversity of Antwerp · BE

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

Sarcopenia encompasses a progressive decline in muscle quantity and quality. Given its close association with ageing, it may represent a valuable healthspan marker. The commonalities with human muscle structure and facile visualization possibilities make Caenorhabditis elegans an attractive model for studying the relationship between sarcopenia and healthspan. However, classical visual assessment of muscle architecture is subjective and has low throughput. To resolve this, we have developed an image analysis pipeline for the quantification of muscle integrity in confocal microscopy images from a cohort of ageing myosin::GFP reporter worms. We extracted a variety of morphological descriptors and found a subset to scale linearly with age. This allowed establishing a linear model that predicts biological age from a morphological muscle signature. To validate the model, we evaluated muscle architecture in long-lived worms that are known to experience delayed sarcopenia by targeted knockdown of the daf-2 gene. We conclude that quantitative microscopy allows for staging sarcopenia in C. elegans and may foster the development of image-based screens in this model organism to identify modulators that mitigate age-related muscle frailty and thus improve healthspan.

Indexed as

Caenorhabditis elegans ProteinsSarcopeniaAgingAnimalsCaenorhabditis elegansHumansLongevityMusclesCaenorhabditis elegans ProteinsAgeingC. elegansHealthspanImage analysisPhenotype predictionSarcopenia

Identifiers

PMID34723324
PMCPMC8649172
OpenAlexW3208484440

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.