Evidence map›Paper›PMID 29813127›Full record

ArticlePloS one2018

Micro-computed tomography for non-invasive evaluation of muscle atrophy in mouse models of disease.

Laura Pasetto, Davide Olivari, Giovanni Nardo, Maria Chiara Trolese, Caterina Bendotti, Rosanna Piccirillo, Valentina Bonetto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
1.0field-weighted citation impact, top 24% 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, 22 citations in OpenAlex.

  1. Article
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  6. GLP-1RA Liraglutide and Semaglutide Improves Obesity-Induced Muscle Atrophy via SIRT1 Pathway.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  7. Article
  8. Article
  9. Mouse models of sarcopenia: classification and evaluation.Journal of cachexia, sarcopenia and muscle · 2021
    Review
  10. Article
  11. Article
  12. Article
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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

7 authors at 1 institution in 1 country.

Laura PasettoIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Davide OlivariIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Giovanni NardoIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Maria Chiara TroleseIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Caterina BendottiIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.
Rosanna PiccirilloIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.ORCID 0000-0002-1613-9352
Valentina BonettoIRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy.ORCID 0000-0003-0456-2054
Mario Negri Institute for Pharmacological Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle wasting occurs during various chronic diseases and precedes death in humans as in mice. The evaluation of the degree of muscle atrophy in diseased mouse models is often overlooked since it requires the sacrifice of the animals for muscle examination or expensive instrumentation and highly qualified personnel, such as Magnetic Resonance Imaging (MRI). Very often behavioral tests for muscle strength evaluation are used as an outcome measurement in preclinical therapeutic trials. However, these tests are easy to perform serially, but not enough sensitive to detect early muscle changes during disease progression. Monitoring muscle loss in living animals could allow to perform more informative preclinical trials with a better evaluation of therapeutic benefit with respect to muscle wasting. We developed a non-invasive procedure based on micro-computed tomography (micro-CT) without contrast agents to monitor hind limb muscle wasting in mouse models of amyotrophic lateral sclerosis (ALS) and cancer cachexia: the transgenic SOD1G93A mouse and the colon adenocarcinoma C26-bearing mouse, respectively. We established the scanning procedure and the parameters to consider in the reconstructed images to calculate the Index of Muscle Mass (IMM). The coefficient of variance for the whole procedure was 2.2%. We performed longitudinally micro-CT scan of hind limbs in SOD1G93A mice at presymptomatic and symptomatic stages of the disease and calculated the IMM. We found that IMM in SOD1G93A mice was lower than age-matched controls even before symptom onset. We also detected a further decrease in IMM as disease progresses, most markedly just before disease onset. We performed the same analyses in the C26-based mouse model losing quickly body and muscle mass because of cancer cachexia. Overall, we found that the reduced muscle content detected by micro-CT mirrored the reduced muscle weight in both disease models. We developed a fast, precise and easy-to-conduct imaging procedure to monitor hind limb muscle mass, useful in therapeutic preclinical trials but also in proof-of-principle studies to identify the onset of muscle wasting. This method could be widely applied to other disease models characterized by muscle wasting, to assist drug development and search for early biomarkers of muscle atrophy. Moreover, reducing the number of mice needed for the experiments and being less distressing are in line with the 3R principle embodied in national and international directives for animal research.

Indexed as

X-Ray MicrotomographyAmyotrophic Lateral SclerosisAnimalsCachexiaCell Line, TumorDisease Models, AnimalHindlimbHumansMiceMuscular AtrophyNeoplasms

Identifiers

PMID29813127
PMCPMC5973599
OpenAlexW2806331313

What OpenQuestion holds

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LicenceCC BY
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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.