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ABSTRACT: Background
There is an urgent need for effective risk prediction tools to assess all-cause mortality in heart failure (HF) patients, and recent serum peptidomics advancements may help identify potential biomarkers associated with HF outcome. We aimed to provide insights into the multiple biological processes and assess the predictive values of serum peptidomics in HF.Methods
We performed a prospective, nested, case-control study of 108 patients with HF. The serum peptides were measured by mass spectrometry in 27 healthy controls (HC), 27 patients who experienced all-cause death (event group), and 27 patients matched for age and sex who survived (non-event group) during 1-year follow-up. Bioinformatics analysis was conducted to identify changes in signaling pathways during t
SUBMITTER: Yao K
PROVIDER: S-EPMC12625115 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature