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Preliminary exploration of potential biomarkers for heart failure and bipolar disorder: an exploratory study based on
1Department of Emergency, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China.
Insights
This study identified six potential biomarkers linking heart failure (HF) and bipolar disorder (BD). These findings offer new avenues for early detection and understanding the shared molecular mechanisms between these conditions.
Area of Science:
- Biomedical research
- Genomics
- Molecular biology
Background:
- Individuals with bipolar disorder (BD) have an increased risk of cardiovascular disease, particularly heart failure (HF).
- The underlying molecular mechanisms connecting BD and HF are not well understood.
- This research aimed to find common diagnostic biomarkers for both conditions.
Purpose of the Study:
- To identify shared molecular mechanisms between heart failure and bipolar disorder.
- To discover potential diagnostic biomarkers for early detection of both conditions.
- To provide a foundation for future research into the relationship between HF and BD.
Main Methods:
- Analysis of differentially expressed genes (DEGs) in heart failure and bipolar disorder datasets.
- Co-expression network analysis to identify key module genes.
- Protein-protein interaction (PPI) network construction and receiver operating characteristic (ROC) analysis for biomarker selection.
- Gene set enrichment analysis (GSEA) and drug prediction.
- Quantitative polymerase chain reaction (qPCR) for clinical validation of biomarker expression.
Main Results:
- Identification of 44 candidate genes common to both heart failure and bipolar disorder.
- Selection of six potential diagnostic biomarkers: UBE2E3, FZD2, EXT1, DCHS1, BMP4, and ALDH1A2.
- Association of these biomarkers with "cytokine-cytokine receptor interaction" and "ECM receptor interaction" pathways.
- Identification of four potential drugs (VANTICTUMAB, RETINOL, HYDROCHLOROTHIAZIDE, ATENOLOL) targeting these biomarkers.
- Validation of expression trends for FZD2, DCHS1, BMP4, and ALDH1A2 using qPCR.
Conclusions:
- Preliminary exploration of common molecular mechanisms between heart failure and bipolar disorder.
- Identification of six potential biomarkers for the early detection of HF and BD.
- Establishment of a theoretical basis for future research on the comorbidity of HF and BD.
Background:
Individuals with bipolar disorder (BD) exhibit a significantly increased risk of cardiovascular disease, yet the specific mechanisms linking heart failure (HF) and BD remain poorly understood. This study aimed to identify common potential diagnostic biomarkers associated with both conditions.
Methods:
Differentially expressed genes (DEGs) were analyzed separately in HF (GSE57338) and BD (GSE5389) datasets. Key module genes for each condition were identified through co-expression network analysis and intersected with DEGs to pinpoint candidate genes. Subsequently, a protein-protein interaction (PPI) network, receiver operating characteristic (ROC) analysis, and expression validation were employed to identify potential diagnostic biomarkers. Gene set enrichment analysis (GSEA) and drug predictions were also conducted. Clinical validation of biomarker expression was performed via quantitative polymerase chain reaction (qPCR).
Results:
A total of 44 candidate genes were identified as being associated with both HF and BD. Six potential diagnostic biomarkers (UBE2E3, FZD2, EXT1, DCHS1, BMP4, and ALDH1A2) were selected. These biomarkers were predominantly linked to the "cytokine-cytokine receptor interaction" and "ECM receptor interaction" pathways. Additionally, four potential drugs-VANTICTUMAB, RETINOL, HYDROCHLOROTHIAZIDE, and ATENOLOL-were identified as targets for these biomarkers. Expression trends of FZD2, DCHS1, BMP4, and ALDH1A2 validated by qPCR were consistent with dataset findings.
Conclusion:
This study preliminarily explored the common molecular mechanisms between HF and BD, and identified 6 potential biomarkers for early detection, providing a solid theoretical basis for future research on HF and BD.
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