Identification of molecular markers for predicting the severity of heart failure after AMI: An Olink precision...

Area of Science:

• Cardiology
• Biomarker Discovery
• Proteomics

Background:

• Acute myocardial infarction (AMI) frequently leads to heart failure (HF).
• Identifying reliable predictors for HF severity post-AMI is essential for patient management.
• Current markers may not fully capture the spectrum of HF development after AMI.

Purpose of the Study:

• To discover novel molecular markers for predicting heart failure (HF) severity following acute myocardial infarction (AMI).
• To investigate the relationship between molecular markers and clinical indicators of HF severity (Killip classification).

Main Methods:

• Analysis of demographic, clinical, and molecular data in AMI patients stratified by Killip classification.
• Utilized Olink proteomics to identify differentially expressed proteins (DEPs).
• Evaluated the predictive performance of identified DEPs using Area Under the Curve (AUC).

Main Results:

• Neutrophil count identified as an independent risk factor for in-hospital Major Adverse Cardiac Events (MACEs).
• Nineteen DEPs significantly correlated with increasing Killip classification severity.
• Five DEPs (GDF-15, NT-pro BNP, TNF-R2, TNF-R1, TFF3) demonstrated high predictive value (AUC > 0.8) for HF severity.

Conclusions:

• Neutrophil count and specific proteins (GDF-15, TNF-R2, TNF-R1, TFF3) are strongly associated with HF severity after AMI.
• The findings highlight the significant role of the inflammatory response in post-AMI HF progression.
• Targeting inflammation presents a potential therapeutic strategy for managing HF after AMI.