Searching for diagnostic biomarkers of heart failure with preserved ejection fraction: methodological issues

Aimo, Alberto; Georgiopoulos, Georgios; Senni, Michele; Emdin, Michele

doi:10.1002/ejhf.1977

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The prevalence of HFpEF is believed to be increasing and is associated with factors such as age, gender, obesity, and hypertension ( 2 ). The diagnosis of HFpEF relies on clinical symptoms, electrocardiogram, cardiac ultrasound, and other examination methods, but there are no specific diagnostic biomarkers ( 3 ). Therefore, it is crucial to identify potential biomarkers that can aid in the accurate diagnosis of HFpEF.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic potential of energy metabolism-related genes in heart failure with preserved ejection fraction

Gou,

Zhao,

Dong

et al. 2023

Front. Endocrinol.

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BackgroundHeart failure with preserved ejection fraction (HFpEF) is associated with changes in cardiac metabolism that affect energy supply in the heart. However, there is limited research on energy metabolism-related genes (EMRGs) in HFpEF.MethodsThe HFpEF mouse dataset (GSE180065, containing heart tissues from 10 HFpEF and five control samples) was sourced from the Gene Expression Omnibus database. Gene expression profiles in HFpEF and control groups were compared to identify differentially expressed EMRGs (DE-EMRGs), and the diagnostic biomarkers with diagnostic value were screened using machine learning algorithms. Meanwhile, we constructed a biomarker-based nomogram model for its predictive power, and functionality of diagnostic biomarkers were conducted using single-gene gene set enrichment analysis, drug prediction, and regulatory network analysis. Additionally, consensus clustering analysis based on the expression of diagnostic biomarkers was utilized to identify differential HFpEF-related genes (HFpEF-RGs). Immune microenvironment analysis in HFpEF and subtypes were performed for analyzing correlations between immune cells and diagnostic biomarkers as well as HFpEF-RGs. Finally, qRT-PCR analysis on the HFpEF mouse model was used to validate the expression levels of diagnostic biomarkers.ResultsWe selected 5 biomarkers (Chrna2, Gnb3, Gng7, Ddit4l, and Prss55) that showed excellent diagnostic performance. The nomogram model we constructed demonstrated high predictive power. Single-gene gene set enrichment analysis revealed enrichment in aerobic respiration and energy derivation. Further, various miRNAs and TFs were predicted by Gng7, such as Gng7-mmu-miR-6921-5p, ETS1-Gng7. A lot of potential therapeutic targets were predicted as well. Consensus clustering identified two distinct subtypes of HFpEF. Functional enrichment analysis highlighted the involvement of DEGs-cluster in protein amino acid modification and so on. Additionally, we identified five HFpEF-RGs (Kcnt1, Acot1, Kcnc4, Scn3a, and Gpam). Immune analysis revealed correlations between Macrophage M2, T cell CD4+ Th1 and diagnostic biomarkers, as well as an association between Macrophage and HFpEF-RGs. We further validated the expression trends of the selected biomarkers through experimental validation.ConclusionOur study identified 5 diagnostic biomarkers and provided insights into the prediction and treatment of HFpEF through drug predictions and network analysis. These findings contribute to a better understanding of HFpEF and may guide future research and therapy development.

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Section: Introductionmentioning

confidence: 99%

Diagnostic potential of energy metabolism-related genes in heart failure with preserved ejection fraction

Gou,

Zhao,

Dong

et al. 2023

Front. Endocrinol.

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“…Consequently, there is a considerable need to find new ways of predicting, screening, and prognosticating heart failure, especially in pediatrics [1]. Laboratory diagnostics is an important part of the decision-making process in everyday clinical practice in order to come to a diagnosis, and additionally for risk stratification and therapeutical choices [2].…”

Section: Introductionmentioning

confidence: 99%

Novel Biomarkers of Heart Failure in Pediatrics

Kojc

Varda

2022

Children

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Novel biomarkers of heart failure are the subject of numerous studies. Biomarkers of heart failure can be determined in the blood and in the urine. Seven groups of biomarkers of heart failure based on pathophysiological mechanisms are presented in this review, namely biomarkers of myocardial stretch, myocyte injury, myocardial remodeling, biomarkers of inflammation, renal dysfunction, neurohumoral activation, and oxidative stress. Studies of biomarkers in the pediatric population are scarce, therefore, further investigation is needed for reliable prognostic and therapeutic implications. The future of biomarker use is in multimarker panels that include a combination of biomarkers with different pathophysiological mechanisms in order to improve their diagnostic and prognostic predictive value.

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Biomarkers of Heart Failure in Pediatric Practice

Khamadyanova,

Valinurov,

Trusov

et al. 2023

Kompleks. probl. serdečno-sosud. zabol.

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Основные положения• В педиатрии биомаркеры сердечной недостаточности особенно важны для раннего выявления и стратификации риска пациентов с системными заболеваниями и связанным с ними риском раннего развития сердечной недостаточности. Новые биомаркеры обладают определенными прогностическими преимуществами, но и некоторыми ограничениями, особенно в педиатрии из-за низкой специфичности и недостаточности данных о долгосрочном применении. Таким образом, прогностическая ценность этих биомаркеров полностью не подтверждена и требует дальнейшего изучения для широкого клинического применения.

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Searching for diagnostic biomarkers of heart failure with preserved ejection fraction: methodological issues

Cited by 3 publications

References 11 publications

Diagnostic potential of energy metabolism-related genes in heart failure with preserved ejection fraction

Diagnostic potential of energy metabolism-related genes in heart failure with preserved ejection fraction

Novel Biomarkers of Heart Failure in Pediatrics

Biomarkers of Heart Failure in Pediatric Practice

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