Evidence map›Paper›PMID 39301654›Full record

ReviewMolecular medicine reports2024

Roles of small GTPases in cardiac hypertrophy (Review).

Xin Wang, Xinwen Nie, Hao Wang, Zhanhong Ren

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Palmitoylation in cardiovascular diseases: Molecular mechanism and therapeutic potential.International journal of cardiology. Heart & vasculature · 2025
    Review
  6. Expression of PIM1/ASK1 Molecular Pathway Related Genes in Ischemic Cardiomyopathy.Cardiovascular & hematological disorders drug targets · 2025
    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.

Xin Wang *School of Mathematics and Statistics, Hubei University of Science and Technology, Xianning, Hubei 437100, P.R. China.
Xinwen Nie *Hubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei 437100, P.R. China.
Hao WangHubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei 437100, P.R. China.
Zhanhong RenHubei Key Laboratory of Diabetes and Angiopathy, Medicine Research Institute, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei 437100, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac hypertrophy results from the heart reacting and adapting to various pathological stimuli and its persistent development is a major contributing factor to heart failure. However, the molecular mechanisms of cardiac hypertrophy remain unclear. Small GTPases in the Ras, Rho, Rab, Arf and Ran subfamilies exhibit GTPase activity and play crucial roles in regulating various cellular responses. Previous studies have shown that Ras, Rho and Rab are closely linked to cardiac hypertrophy and that their overexpression can induce cardiac hypertrophy. Here, we review the functions of small GTPases in cardiac hypertrophy and provide additional insights and references for the prevention and treatment of cardiac hypertrophy.

Indexed as

CardiomegalyMonomeric GTP-Binding ProteinsAnimalsHumansrho GTP-Binding ProteinsSignal TransductionMonomeric GTP-Binding Proteinsrho GTP-Binding Proteinscardiac hypertrophyRabRasRhosmall GTPases

Identifiers

PMID39301654
PMCPMC11425065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.