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Published on: September 20, 2024
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Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart
Xuefu Wang1, Jin Rao2, Li Zhang3
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Heliyon
|March 21, 2024
Summary
This study identifies five key circadian rhythm genes (CRGs) linked to heart failure (HF) and reveals distinct HF patient subgroups based on CRG expression and immune infiltration. These findings offer potential therapeutic targets for HF treatment.
Area of Science:
- Cardiovascular Biology
- Chronobiology
- Genomics
Background:
- Circadian rhythms significantly influence cardiac function, but the molecular links to heart failure (HF) are not fully understood.
- Investigating the role of circadian rhythm-related genes (CRGs) in HF pathogenesis is crucial for developing novel therapeutic strategies.
Purpose of the Study:
- To identify differentially expressed circadian rhythm-related genes (DE-CRGs) in heart failure (HF).
- To develop diagnostic models for HF using machine learning algorithms based on feature genes.
- To explore molecular subtypes of HF based on CRG expression and their association with immune infiltration and biological functions.
Main Methods:
- Differential gene expression analysis of CRGs in HF samples using the Gene Expression Omnibus (GEO) database.
- Machine learning algorithms (LASSO regression) for feature gene selection and diagnostic model construction.
- Consensus clustering and non-negative matrix factorization (NMF) for HF sample subtyping, followed by immune infiltration and Gene Set Variation Analysis (GSVA).
Main Results:
- Thirteen CRGs were differentially expressed in HF patients, with five key diagnostic genes identified: NAMPT, SERPINA3, MAPK10, NPPA, and SLC2A1.
- HF patients were classified into two distinct clusters with varying biological functions and immune characteristics.
- Immune infiltration analysis revealed significant differences between subgroups, with one subgroup exhibiting higher immune scores and infiltration. Hub genes like GRIN2A, DLG1, ERBB4, LRRC7, and NRG1 were associated with HF.
Conclusions:
- The identified diagnostic genes offer potential therapeutic targets for heart failure.
- Understanding the interplay between circadian rhythm, immune response, and energy metabolism in HF can guide future treatment strategies.
- This research provides a foundation for further investigation into the molecular mechanisms of HF.
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