Evidence map›Paper›PMID 38722178›Full record

ArticleInternational journal of experimental pathology2024

Muscle fibre morphometric analysis (MusMA) correlates with muscle function and cardiovascular risk prognosis.

Larisse Longo, Bárbara Jonson Bartikoski, Valessa Emanoele Gabriel de Souza, Fernando Salvati, Carolina Uribe-Cruz, Guido Lenz, Ricardo Machado Xavier, Mário Reis Álvares-da-Silva, Eduardo Cremonese Filippi-Chiela

Abstract read
In one paragraph

Article in International journal of experimental pathology, 2024. 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. 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

9 authors.

Larisse LongoGraduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Bárbara Jonson BartikoskiAutoimmune Diseases Laboratory, Rheumatology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Valessa Emanoele Gabriel de SouzaExperimental Hepatology and Gastroenterology Laboratory, Center for Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Fernando SalvatiExperimental Hepatology and Gastroenterology Laboratory, Center for Experimental Research, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Carolina Uribe-CruzGraduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Guido LenzDepartment of Biophysics and Biotechnology Center, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Ricardo Machado XavierGraduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Mário Reis Álvares-da-SilvaGraduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Eduardo Cremonese Filippi-ChielaGraduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0001-8192-3779

Funding

Conselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorHospital de Clínicas de Porto Alegre
6 · The paper itself

Abstract

Morphometry of striated muscle fibres is critical for monitoring muscle health and function. Here, we evaluated functional parameters of skeletal and cardiac striated muscle in two experimental models using the Morphometric Analysis of Muscle Fibre tool (MusMA). The collagen-induced arthritis model was used to evaluate the function of skeletal striated muscle and the non-alcoholic fatty liver disease model was used for cardiac striated muscle analysis. After euthanasia, we used haeamatoxylin and eosin stained sections of skeletal and cardiac muscle to perform muscle fibre segmentation and morphometric analysis. Morphometric analysis classified muscle fibres into six subpopulations: normal, regular hypertrophic, irregular hypertrophic, irregular, irregular atrophic and regular atrophic. The percentage of atrophic fibres was associated with lower walking speed (p = 0.009) and lower body weight (p = 0.026), respectively. Fibres categorized as normal were associated with maximum grip strength (p < 0.001) and higher march speed (p < 0.001). In the evaluation of cardiac striated muscle fibres, the percentage of normal cardiomyocytes negatively correlated with cardiovascular risk markers such as the presence of abdominal adipose tissue (p = .003), miR-33a expression (p = .001) and the expression of miR-126 (p = .042) Furthermore, the percentage of atrophic cardiomyocytes correlated significantly with the Castelli risk index II (p = .014). MusMA is a simple and objective tool that allows the screening of striated muscle fibre morphometry, which can complement the diagnosis of muscle diseases while providing functional and prognostic information in basic and clinical research.

Indexed as

Muscle Fibers, SkeletalAnimalsCardiovascular DiseasesHeart Disease Risk FactorsMaleMyocytes, CardiacPrognosisdiagnosisdigital pathologyhistopathologymorphometrymuscle tissueprognosis

Identifiers

PMID38722178
PMCPMC11129960

What Socratic holds

Textmetadata
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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 Socratic graph.