ReviewCurrent heart failure reports2025
Clinical Insights from Proteomics in Heart Failure.
Review in Current heart failure reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Proteomic and machine learning analysis predicts treatment response signatures in Myasthenia Gravis.Journal of translational medicine · 2026Trial
- Proteomic and Machine Learning Analysis Predicts Treatment Response Signatures in Myasthenia Gravis.Research square · 2025Article
- Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThe pathophysiology of heart failure (HF), a complex and heterogenous condition, remains to be fully understood. Troponin and b-type natriuretic peptide are the only biomarkers that are utilized in clinical practice for HF clinical management. Recent advances in proteomics present a powerful tool to identify risk markers and ultimately, potential molecular mechanisms underlying HF pathogenesis. Herein, we explore traditional and novel heart biomarkers, highlighting their potential role in the pathogenesis of HF. RECENT
findingsRecent proteomic analyses have identified numerous proteins including Galectin-3, sST2, GDF-15, FGF21, Endotrophin, THSB-2, ADAMSTL, SVEP1, and anthracycline that are associated with clinical outcomes in HF. These biomarkers are not presently utilized in HF management but may be useful in the future for prediction of death or HF hospitalization. While traditional biomarkers remain essential, proteomic strategies have revealed additional targets that require further mechanistic exploration. Future research should focus on validating these biomarkers and translating proteomic insights into clinical practice to enhance HF management.
Indexed as
Identifiers
40063168What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.