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Decoding the Heart Failure Peptidome
Christian T Madsen1,2, Jan C Refsgaard3, Geert H D Voordes4
1Research and Development (C.T.M., A.H., M.G., N.B.M.), Novo Nordisk A/S, Måløv, Denmark.
Insights
This study reveals novel plasma peptides in heart failure (HF) patients, identifying biomarkers for diagnosis and prognosis. These findings advance understanding of the HF peptidome and potential therapeutic targets.
Area of Science:
- Cardiovascular Medicine
- Biochemistry
- Proteomics
Background:
- Heart failure (HF) diagnosis and treatment rely on peptides like angiotensin II and brain natriuretic peptide.
- Systematic, unbiased studies of the HF peptidome are currently lacking.
- Understanding the plasma peptidome could significantly improve HF patient care.
Purpose of the Study:
- To systematically explore the low molecular weight peptidome in patients with heart failure.
- To identify and rank peptides based on differential expression, bioactivity, and association with clinical outcomes.
- To uncover novel peptide biomarkers for improved HF diagnosis, prognostication, and treatment.
Main Methods:
- Cross-sectional mass spectrometry analysis of plasma from 486 HF patients and 98 controls.
- Quantification of 21,694 unique peptides.
- Peptide ranking based on upregulation in HF, pattern similarity to bioactive peptides (machine learning), and clinical outcome association.
Main Results:
- 1924 differentially expressed peptides identified between HF patients and controls.
- Key peptides identified include angiotensin-related peptides, GIP propeptides, osteocalcin, cholecystokinin, and peptides related to natriuretic peptide clearance receptor and integrin alpha-7.
- Hierarchical clustering revealed 3 HF patient clusters; one with lowest survival showed peptide patterns linked to acute phase response and inflammation.
Conclusions:
- This study uniquely identifies and ranks peptides by regulation and bioactivity in HF.
- Provides crucial peptide-level data complementing protein-based methods.
- Highlights peptides related to the renin-angiotensin system, natriuretic peptides, and cardiometabolic regulation as promising for HF research and clinical application.
Background:
Peptides such as angiotensin II and brain natriuretic peptide are pivotal in diagnosing and treating heart failure (HF). However, unbiased systematic studies of the peptidome in patients with HF are lacking. Deciphering the plasma peptidome might significantly improve the diagnosis, prognostication, and treatment of patients with HF.
Methods:
To systematically explore the low molecular peptidome, we conducted a cross-sectional mass spectrometry analysis from 486 patients with HF and 98 age-matched non-HF controls. We quantified 21 694 unique peptides in plasma, which were ranked according to (1) the relative upregulation in HF versus controls, (2) pattern similarity to bioactive peptides by an adapted machine learning method, and (3) association with clinical outcome.
Results:
We observed 1924 differentially expressed peptides between patients with HF and non-HF controls. Among high-ranking peptides in patients with HF were angiotensin-related peptides (eg, angiotensin 1-9), propeptides from GIP (gastric inhibitory polypeptide), osteocalcin and cholecystokinin, and peptides mapping to the extracellular part of the natriuretic peptide clearance receptor and integrin alpha-7. Among the regulated peptides, 141 were scored in the top 5% by our machine learning approach, and 65 peptides herein were independently associated with clinical outcome. A hierarchical clustering analysis of patients with HF revealed 3 major patient clusters based on the peptide signature. 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.
Conclusions:
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.
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