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Updated: Jun 29, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Identification of Shared Signature Genes and Immune Microenvironment Subtypes for Heart Failure and Chronic Kidney
Xuefu Wang1, Jin Rao2, Xiangyu Chen2
1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
Insights
This study identifies five key genes as potential biomarkers for diagnosing heart failure (HF) and chronic kidney disease (CKD), revealing shared molecular mechanisms involving immune dysregulation and metabolic disorders.
Area of Science:
- Cardiovascular Medicine
- Nephrology
- Molecular Biology
Background:
- Heart failure (HF) and chronic kidney disease (CKD) exhibit a complex interrelationship.
- Understanding the molecular mechanisms of this organ-to-organ interplay is crucial.
- Identifying sensitive and specific biomarkers for both conditions is a significant clinical need.
Purpose of the Study:
- To clarify the molecular mechanisms underlying the interplay between HF and CKD.
- To identify sensitive and specific biomarkers for the simultaneous diagnosis of HF and CKD.
- To explore molecular subtypes and immune characteristics of co-existing HF and CKD.
Main Methods:
- Differential gene expression analysis of HF and CKD microarray datasets.
- Machine learning for biomarker identification and validation using ROC curves and RT-PCR.
- Consensus clustering for molecular subtyping and ssGSEA for immune cell infiltration analysis.
Main Results:
- Identified 33 crosstalk genes linked to inflammatory, immune, and metabolic pathways.
- Five hub genes (PHLDA1, ATP1A1, IFIT2, HLTF, MPP3) selected as optimal diagnostic biomarkers.
- Discovered distinct immune and metabolic subtypes of HF and CKD, with significant immune dysregulation.
Conclusions:
- Five identified crosstalk genes show potential as diagnostic biomarkers for HF and CKD.
- Metabolite disorders and subsequent immune cell activation are key to the common pathogenesis of HF and CKD.
- An ImmuneScore model accurately predicted molecular subtypes, aiding risk stratification.
Background:
A complex interrelationship exists between Heart Failure (HF) and chronic kidney disease (CKD). This study aims to clarify the molecular mechanisms of the organ-to-organ interplay between heart failure and CKD, as well as to identify extremely sensitive and specific biomarkers.
Methods:
Differentially expressed tandem genes were identified from HF and CKD microarray datasets and enrichment analyses of tandem perturbation genes were performed to determine their biological functions. Machine learning algorithms are utilized to identify diagnostic biomarkers and evaluate the model by ROC curves. RT-PCR was employed to validate the accuracy of diagnostic biomarkers. Molecular subtypes were identified based on tandem gene expression profiling, and immune cell infiltration of different subtypes was examined. Finally, the ssGSEA score was used to build the ImmuneScore model and to assess the differentiation between subtypes using ROC curves.
Results:
Thirty-three crosstalk genes were associated with inflammatory, immune and metabolism-related signaling pathways. The machine-learning algorithm identified 5 hub genes (PHLDA1, ATP1A1, IFIT2, HLTF, and MPP3) as the optimal shared diagnostic biomarkers. The expression levels of tandem genes were negatively correlated with left ventricular ejection fraction and glomerular filtration rate. The CIBERSORT results indicated the presence of severe immune dysregulation in patients with HF and CKD, which was further validated at the single-cell level. Consensus clustering classified HF and CKD patients into immune and metabolic subtypes. Twelve immune genes associated with immune subtypes were screened based on WGCNA analysis, and an ImmuneScore model was constructed for high and low risk. The model accurately predicted different molecular subtypes of HF or CKD.
Conclusion:
Five crosstalk genes may serve as potential biomarkers for diagnosing HF and CKD and are involved in disease progression. Metabolite disorders causing activation of a large number of immune cells explain the common pathogenesis of HF and CKD.
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