Evidence map›Paper›PMID 26024954›Full record

ReviewHeart failure reviews2015

Titin mutations: the fall of Goliath.

Manuel Neiva-Sousa, João Almeida-Coelho, Inês Falcão-Pires, Adelino F Leite-Moreira

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2015. 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
1.9field-weighted citation impact, top 14% 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, 19 citations in OpenAlex.

  1. Analysis ofCirculation. Genomic and precision medicine · 2025
    Article
  2. A Case Study Identified a New Mutation in theInternational journal of general medicine · 2025
    Article
  3. Review
  4. Digenic Variants in theFrontiers in neuroscience · 2021
    Article
  5. Article
  6. The giant titin: how to evaluate its role in cardiomyopathies.Journal of muscle research and cell motility · 2019
    Review
  7. Article
  8. Review
  9. Article
  10. Overview of the Muscle Cytoskeleton.Comprehensive Physiology · 2017
    Review
  11. Deregulated CaScience advances · 2017
    Article
  12. Review
  13. 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

4 authors at 1 institution in 1 country.

Manuel Neiva-SousaDepartment of Physiology and Cardiothoracic Surgery, Faculty of Medicine, University of Porto, Porto, Portugal.
João Almeida-Coelho
Inês Falcão-Pires
Adelino F Leite-Moreira
Universidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Titin (TTN), the largest protein in the human body, forms powerful elastic filaments along the sarcomere of cardiomyocytes. This multifunctional protein is involved in numerous cellular processes, including sarcomeric assembly, stabilization and mechanosensing. Along physiological sarcomere lengths, TTN is also the most important determinant of the passive tension of cardiac muscle. However, as the giant Goliath was brought down by David's slingshot, so single-base-pair mutations in the gene encoding TTN (TTN) can ultimately impair to some degree a normal cardiac function. Since the first report on the involvement of TTN mutations in the development of hypertrophic cardiomyopathy, in 1999, dozens of other mutations have been described and associated with the onset of cardiac disease. In this review, we aim to explore some of the mechanisms underlying the functions of TTN, as well as the pathophysiological consequences arising from the expression of abnormal TTN isoforms resulting from mutations located along TTN.

Indexed as

CardiomyopathiesConnectinHumansMutationMyocardial ContractionMyocytes, CardiacConnectinTTN protein, human

Identifiers

PMID26024954
OpenAlexW919117068

What OpenQuestion holds

Textmetadata
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.