Evidence map›Paper›PMID 38116627›Full record

ReviewDiabetes & vascular disease research

Molecular mechanisms of diabetic heart disease: Insights from transcriptomic technologies.

Marcella Conning-Rowland, Richard M Cubbon

Open access · diamondAbstract readReview
In one paragraph

Review in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Recent advances associated with cardiometabolic remodeling in diabetes-induced heart failure.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  5. Article
  6. Article
  7. 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

2 authors at 1 institution in 1 country.

Marcella Conning-RowlandLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0002-2660-7594
Richard M CubbonLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID 0000-0001-7844-3600
University of Leeds · GB

Funding

British Heart Foundation FS/4YPHD/F/21/34153
6 · The paper itself

Abstract

Over half a billion adults across the world have diabetes mellitus (DM). This has a wide-ranging impact on their health, including more than doubling their risk of major cardiovascular events, in comparison to age-sex matched individuals without DM. Notably, the risk of heart failure is particularly increased, even when coronary artery disease and hypertension are not present. Macro- and micro-vascular complications related to endothelial cell (EC) dysfunction are a systemic feature of DM and can affect the heart. However, it remains unclear to what extent these and other factors underpin myocardial dysfunction and heart failure linked with DM. Use of unbiased 'omics approaches to profile the molecular environment of the heart offers an opportunity to identify novel drivers of cardiac dysfunction in DM. Multiple transcriptomics studies have characterised the whole myocardium or isolated cardiac ECs. We present a systematic summary of relevant studies, which identifies common themes including alterations in both myocardial fatty acid metabolism and inflammation. These findings prompt further research focussed on these processes to validate potentially causal factors for prioritisation into therapeutic development pipelines.

Indexed as

Diabetes Mellitus, Type 2Diabetic CardiomyopathiesHeart FailureAdultGene Expression ProfilingHumansMyocardiumDiabetesdiabetic cardiomyopathygene expressionheartRNA-sequencingtranscriptomics

Identifiers

PMID38116627
PMCPMC10734343
OpenAlexW4390014901

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.