Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Unsupervised Learning Based on Proteomic Signatures Identifies Distinct Subgroups of Heart Failure With Mildly Reduced Ejection Fraction.

Journal of cardiovascular translational research - 1 Oct 2025

Chen Weiyao, Fan Yangkai, Ren Lu, Li Fengjuan, Tan Xin, Wang Xue, Du Jie, Wang Yuan

Abstract excerpt

Heart failure with mildly-reduced ejection fraction (HFmrEF) lacks therapeutic strategies due to heterogeneity and dynamic transitions between HFrEF/HFpEF. Proteins constitute predominant drug targets and primary mediators of signaling pathways in HF. We measured 92 plasma proteins (Olink CardiovascularIII) in 230 HF patients from BIOMS-HF registry. Fifteen, eighteen, and fifteen baseline proteins discriminated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Proteins
Share to Heart Failure

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Predictive Value of Tests

Share to Proteomics

Share to Registries

Share to Stroke Volume

Share to Unsupervised Machine Learning

Share to Ventricular Function, Left

Source

Identifiers

PMID: 40745245
DOI: 10.1007/s12265-025-10663-6

Genes

TNF

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Unsupervised Learning Based on Proteomic Signatures Identifies Distinct Subgroups of Heart Failure With Mildly Reduced Ejection Fraction.PMID 40745245Read ↗

Enhanced clinical phenotyping by mechanistic bioprofiling in heart failure with preserved ejection fraction: insights from the MEDIA-DHF study (The Metabolic Road to Diastolic Heart Failure).Semantic proximity Read ↗

Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning.Semantic proximity Read ↗

Systemic Biomarkers and Unique Pathways in Different Phenotypes of Heart Failure with Preserved Ejection Fraction.Semantic proximity Read ↗

Proteomic Associations of Adverse Outcomes in Human Heart FailureSemantic proximity Read ↗

Proteomics profiling reveals a distinct high-risk molecular subtype of hypertrophic cardiomyopathySemantic proximity Read ↗

Profiling heart failure with preserved or mildly reduced ejection fraction by cluster analysis.Semantic proximity Read ↗

Large-scale multi-omics identifies drug targets for heart failure with reduced and preserved ejection fraction.Semantic proximity Read ↗

The future of heart failure with preserved ejection fraction : Deep phenotyping for targeted therapeutics.Semantic proximity Read ↗

Multi-Omics-Based Sex Stratification Identifies Distinct High-Risk Phenotypes in HFpEFSemantic proximity Read ↗

Multi-omics integration to identify the genetic expression and protein signature of dilated and ischemic cardiomyopathySemantic proximity Read ↗

Plasma protein profiles in different heart failure phenotypes.Semantic proximity Read ↗

Proteomic Profiling of Early-Stage Heart Failure Identifies Candidate Biomarkers and Molecular Pathways of Cardiac Inflammation in the Project Baseline Health StudySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.