Evidence map›Paper›PMID 36553644›Full record

SynthesisGenes2022

Identification of Novel Genes Associated with Fish Skeletal Muscle Adaptation during Fasting and Refeeding Based on a Meta-Analysis.

Érika Stefani Perez, Sarah Santiloni Cury, Bruna Tereza Thomazini Zanella, Robson Francisco Carvalho, Bruno Oliveira Silva Duran, Maeli Dal-Pai-Silva

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Genes, 2022. 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
1.3field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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.

Érika Stefani PerezDepartment of Structural and Functional Biology, São Paulo State University (UNESP), Botucatu 18618-689, Brazil.ORCID 0000-0002-7435-0201
Sarah Santiloni CuryDepartment of Structural and Functional Biology, São Paulo State University (UNESP), Botucatu 18618-689, Brazil.ORCID 0000-0002-4803-0933
Bruna Tereza Thomazini ZanellaDepartment of Structural and Functional Biology, São Paulo State University (UNESP), Botucatu 18618-689, Brazil.ORCID 0000-0002-5964-4148
Robson Francisco CarvalhoDepartment of Structural and Functional Biology, São Paulo State University (UNESP), Botucatu 18618-689, Brazil.ORCID 0000-0002-4901-7714
Bruno Oliveira Silva DuranDepartment of Histology, Embryology and Cell Biology, Federal University of Goias (UFG), Goiania 74690-900, Brazil.ORCID 0000-0002-7920-8175
Maeli Dal-Pai-SilvaDepartment of Structural and Functional Biology, São Paulo State University (UNESP), Botucatu 18618-689, Brazil.ORCID 0000-0001-7269-9197
Universidade Estadual Paulista (Unesp) · BRUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regulation of the fish phenotype and muscle growth is influenced by fasting and refeeding periods, which occur in nature and are commonly applied in fish farming. However, the regulators associated with the muscle responses to these manipulations of food availability have not been fully characterized. We aimed to identify novel genes associated with fish skeletal muscle adaptation during fasting and refeeding based on a meta-analysis. Genes related to translational and proliferative machinery were investigated in pacus (

Indexed as

CharaciformesMuscle, SkeletalAnimalsFastingfastingfishmeta-analysispacuPiaractus mesopotamicusrefeedingskeletal muscle growth

Identifiers

PMID36553644
PMCPMC9778430
OpenAlexW4311945228

What Socratic 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 Socratic graph.