Conning-Rowland, M. and Cubbon, R.M orcid.org/0000-0001-7844-3600 (2023) Molecular mechanisms of diabetic heart disease: insights from transcriptomic technologies. Diabetes and Vascular Disease Research, 20 (6). ISSN 1479-1641
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Keywords: | Diabetes, heart, diabetic cardiomyopathy, transcriptomics, RNA-sequencing, gene expression |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Discovery & Translational Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Oct 2023 09:42 |
Last Modified: | 08 Jan 2024 15:57 |
Published Version: | https://journals.sagepub.com/doi/10.1177/147916412... |
Status: | Published |
Publisher: | SAGE |
Identification Number: | 10.1177/14791641231205428 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203977 |