Evidence map›Paper›PMID 36065969›Full record

ReviewJournal of cellular and molecular medicine2022

Use of animal models to understand titin physiology and pathology.

Matteo Marcello, Viviana Cetrangolo, Marco Savarese, Bjarne Udd

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Deciphering European Sea Bass (International journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Titin: roles in cardiac function and diseases.Frontiers in physiology · 2024
    Review
  6. Article
  7. Review
  8. Review
  9. Use of animal models to understand titin physiology and pathology.Journal of cellular and molecular medicine · 2022
    Review
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

4 authors.

Matteo MarcelloPhysioLab, Università di Firenze, Sesto Fiorentino, Italy.
Viviana CetrangoloPhysioLab, Università di Firenze, Sesto Fiorentino, Italy.
Marco SavareseFolkhälsan Research Center, Helsinki, Finland.ORCID 0000-0002-2591-244X
Bjarne UddFolkhälsan Research Center, Helsinki, Finland.

Funding

Academy of Finland #339437European Joint Programme on Rare DiseasesSydäntutkimussäätiö
6 · The paper itself

Abstract

In recent years, increasing attention has been paid to titin (TTN) and its mutations. Heterozygous TTN truncating variants (TTNtv) increase the risk of a cardiomyopathy. At the same time, TTNtv and few missense variants have been identified in patients with mainly recessive skeletal muscle diseases. The pathogenic mechanisms underlying titin-related diseases are still partly unknown. Similarly, the titin mechanical and functional role in the muscle contraction are far from being exhaustively clarified. In the last few years, several animal models carrying variants in the titin gene have been developed and characterized to study the structural and mechanical properties of specific titin domains or to mimic patients' mutations. This review describes the main animal models so far characterized, including eight mice models and three fish models (Medaka and Zebrafish) and discusses the useful insights provided by a thorough characterization of the cell-, tissue- and organism-phenotypes in these models.

Indexed as

Cardiomyopathy, DilatedZebrafishAnimalsConnectinMiceModels, AnimalMutationProtein KinasesConnectinProtein Kinasestitin protein, mouseanimal modelscongenital myopathydilated cardiomyopathymdmmedakamicetitinzebrafish

Identifiers

PMID36065969
PMCPMC9575118

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.