ArticleJournal of cellular and molecular medicine2020
A three-tiered integrative analysis of transcriptional data reveals the shared pathways related to heart failure from different aetiologies.
Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- TRIM28 Fosters Microglia Ferroptosis via Autophagy Modulation to Enhance Neuropathic Pain and Neuroinflammation.Molecular neurobiology · 2024Article
- Exploring novel biomarkers in dilated cardiomyopathy‑induced heart failure by integrated analysis andExperimental and therapeutic medicine · 2023Article
- Comparative study of disease progression for heart failure with different etiologies via time-ordered network analysis.American journal of translational research · 2022Article
- Identification of the distinctive role of DPT in dilated cardiomyopathy: a study based on bulk and single-cell transcriptomic analysis.Annals of translational medicine · 2021Article
- A three-tiered integrative analysis of transcriptional data reveals the shared pathways related to heart failure from different aetiologies.Journal of cellular and molecular medicine · 2020Article
- Multiple Feature Selection Strategies Identified Novel Cardiac Gene Expression Signature for Heart Failure.Frontiers in physiology · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
Heart failure (HF) is the end stage of most heart disease cases and can be initiated from multiple aetiologies. However, whether the molecular basis of HF has a commonality between different aetiologies has not been elucidated. To address this lack, we performed a three-tiered analysis by integrating transcriptional data and pathway information to explore the commonalities of HF from different aetiologies. First, through differential expression analysis, we obtained 111 genes that were frequently differentially expressed in HF from 11 different aetiologies. Several genes, such as NPPA and NPPB, are early and accurate biomarkers for HF. We also provided candidates for further experimental verification, such as SERPINA3 and STAT4. Then, using gene set enrichment analysis, we successfully identified 19 frequently dysregulated pathways. In particular, we found that pathways related to immune system signalling, the extracellular matrix and metabolism were critical in the development of HF. Finally, we successfully acquired 241 regulatory relationships between 64 transcriptional factors (TFs) and 17 frequently dysregulated pathways by integrating a regulatory network, and some of the identified TFs have already been proven to play important roles in HF. Taken together, the three-tiered analysis of HF provided a systems biology perspective on HF and emphasized the molecular commonality of HF from different aetiologies.
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