Heart failure & cardiomyopathiesCross-sectional study
Decoding the Heart Failure Peptidome
- cross-sectional mass spectrometry analysis
- age-matched non-HF controls
Authors' conclusion
This study uniquely identifies peptides according to their regulation and likelihood of being a bioactive peptide in patients with HF compared with non-HF controls. The study provides crucial peptide-level information to complement protein-based methodologies. The most promising peptides were related to the renin-angiotensin system, natriuretic peptides, and cardiometabolic regulation. The stepwise ranking highlights the HF peptide signal important for outcome and provides a rich resource for additional exploration.
Study context
- Population
- Patients with heart failure (HF) and age-matched non-HF controlspatients with HF 486 · age-matched non-HF controls 98
- Participants
- 486 vs 98
- Exposure
- plasma peptidome in patients with HF versus non-HF controls
- patients with HFn = 486
- non-HF controlsn = 98
Main finding
As reported in the abstract
unique peptides quantified in plasma
21 694
differentially expressed peptides
1924
Observational data: associations, not effects.
Further findings
Machine learning ranking and association with clinical outcome
- regulated peptides scored in the top 5% by machine learning approach
- 141
- of these, peptides independently associated with clinical outcome
- 65
Hierarchical clustering of patients with HF
- major patient clusters based on the peptide signature
- 3
- The patient cluster with the lowest survival probability exhibited a specific peptide degradation pattern with a higher proportion of peptides linked to the acute phase response and increased inflammation
Original publication
Summarised from the published abstract; every number is checked against it