Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns DOI Creative Commons
Huajing Yuan, Hui Yu, Yiding Yu

et al.

ESC Heart Failure, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract Aims Heart failure (HF) is an important public health problem worldwide, and programmed cell death (PCD) plays a crucial role in its pathologic process. This study aims to identify the hub genes associated with HF through PCD order better understand pathogenesis of improve diagnosis treatment. Methods results The gene expression dataset was obtained from GEO database. Bioinformatics machine learning algorithms were utilized screen key PCD‐related genes, diagnostic model constructed on this. Functional enrichment analysis clarified ontology signalling pathways HF. immune infiltration performed explore levels cells each gene. Through bioinformatics analysis, 95 obtained. showed that they mainly involved inflammation, immunomodulation other mechanisms. DHRS11 LRKK2 identified as PCD‐associated by algorithms. confirmed significant biomarkers training validation datasets, their nomogram had effective value. Immune imbalance T‐cell populations, monocytes macrophages M2 Conclusions In this study, genes. construction analyses performed, which provided new ideas for molecular mechanisms development

Language: Английский

Review of mechanisms and frontier applications in IL-17A-induced hypertension DOI Creative Commons
Randall Li, Li Guo,

Bin Liang

et al.

Open Medicine, Journal Year: 2025, Volume and Issue: 20(1)

Published: Jan. 1, 2025

Abstract Background The immune system is closely related to hypertension. Hypertension an disorder a certain extent, and inflammation the basis of abnormally elevated blood pressure (BP). accumulation T cells their cytokines can increase BP end organ damage. are activated by antigen-presenting innate or influence high-sodium diet, self-environment, gut microbiota. These produce inflammatory factors cytokines, such as interleukin-17A (IL-17A) in helper 17 cells, causing vascular inflammation, hypertension, target damage Methods In this article, we provide insightful review research progress regarding role IL-17A pathogenesis hypertension its effects on different organs while emphasizing mediated functions kidneys, brain, intestines, development progression Results At level, involved vessels, interacting with multiple signal pathway. Conclusions findings have significant implications for developing future immunomodulatory therapies, which may lead potential treatments

Language: Английский

Citations

1
IL‐17 is associated with disease severity and targetable inflammatory processes in heart failure DOI Creative Commons
Lukas Baumhove, Bart J van Essen, Martin M. Dokter

et al.

ESC Heart Failure, Journal Year: 2024, Volume and Issue: 11(6), P. 3530 - 3538

Published: July 19, 2024

Abstract Aims Heart failure (HF) is recognized as an inflammatory disease in which cytokines play important role. In animal HF models, interleukin‐17A (IL‐17) has been linked to deterioration of cardiac function and fibrosis, whereas knock‐out IL‐17 showed beneficial effects. However, there limited evidence involvement patients with HF. This study aims investigate the clinical characteristics, outcomes, pathophysiological processes associated circulating concentrations Methods results was measured by ELISA 2082 diagnosed along 363 proteins using proximity extension assay technology for differential expression pathway analysis. Data were validated independent cohort 1737 Patients elevated had more severe HF, reflected frequent current or previous hospitalizations higher New York Association functional class (NYHA) levels N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP). High independently increased risk hospitalization mortality. both cohorts, most strongly up‐regulated high fibroblast growth factor 21 (FGF‐21), interleukin‐6 (IL‐6), C‐X‐C motif chemokine ligand 13 (CXCL13), tumour necrosis receptor superfamily member 6B (TNFRSF6B) interleukin‐1 antagonist (IL‐1RA). Pathway over‐representation analysis activity pathways related lymphocyte‐mediated immunity, leukocyte activation regulation immune response. Conclusions indicate known be involved pathophysiology might hold potential identifying targeting inflammation

Language: Английский

Citations

5
Insights and Opportunities from Multimarker Evaluation of Heart Failure: Lessons from BIOSTAT-HF DOI
A. Birs,

Donya Mazdeyasnan,

Lori B. Daniels

et al.

Current Heart Failure Reports, Journal Year: 2025, Volume and Issue: 22(1)

Published: Jan. 29, 2025

Language: Английский

Citations

0
Integrated proteomics and metabolomics to clarify the essential beneficial mechanisms of L-theanine in alleviating ISO-induced cardiac damage in mice DOI
Guoping Wang, Luwen Zhang, Wei Li

et al.

Food Research International, Journal Year: 2025, Volume and Issue: 209, P. 116235 - 116235

Published: March 22, 2025

Language: Английский

Citations

0
Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns DOI Creative Commons
Huajing Yuan, Hui Yu, Yiding Yu

et al.

ESC Heart Failure, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract Aims Heart failure (HF) is an important public health problem worldwide, and programmed cell death (PCD) plays a crucial role in its pathologic process. This study aims to identify the hub genes associated with HF through PCD order better understand pathogenesis of improve diagnosis treatment. Methods results The gene expression dataset was obtained from GEO database. Bioinformatics machine learning algorithms were utilized screen key PCD‐related genes, diagnostic model constructed on this. Functional enrichment analysis clarified ontology signalling pathways HF. immune infiltration performed explore levels cells each gene. Through bioinformatics analysis, 95 obtained. showed that they mainly involved inflammation, immunomodulation other mechanisms. DHRS11 LRKK2 identified as PCD‐associated by algorithms. confirmed significant biomarkers training validation datasets, their nomogram had effective value. Immune imbalance T‐cell populations, monocytes macrophages M2 Conclusions In this study, genes. construction analyses performed, which provided new ideas for molecular mechanisms development

Language: Английский

Citations

0