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Biomarkers and Prognosis After Myocardial Infarction: Towards Precision Cardiology
Simón Rodríguez-Moar1, Carmen Neiro-Rey2,3, David García-Molinero2
1Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS). Complejo Hospitalario Universitario de Santiago de Compostela (CHUS). SERGAS. Travesía da Choupana s/n, 15706 Santiago de Compostela, A Coruña, Spain.
Insights
Predicting long-term outcomes after myocardial infarction (MI) is challenging. Novel biomarkers and advanced technologies offer promising strategies for improved risk stratification and personalized treatment for cardiovascular disease patients.
Area of Science:
- Cardiology
- Biomarker Discovery
- Translational Medicine
Background:
- Cardiovascular diseases are the leading global cause of mortality.
- Despite advances, predicting long-term outcomes post-myocardial infarction (MI) remains a clinical challenge.
- Current risk stratification methods for MI patients require enhancement.
Purpose of the Study:
- To review emerging biomarkers for prognostic assessment after MI.
- To explore novel biomarkers beyond standard cardiac troponins and natriuretic peptides.
- To discuss the role of omics, imaging, and digital monitoring in post-MI patient characterization.
Main Methods:
- Literature review of current scientific evidence on emerging biomarkers.
- Analysis of studies associating novel biomarkers with post-MI outcomes.
- Examination of recent technological advancements in patient monitoring and phenotyping.
Main Results:
- Novel biomarkers including galectin-3, lipoprotein(a), receptor for advanced glycation end-products, and non-coding RNAs show promise.
- These biomarkers are associated with increased risk of mortality and major adverse cardiovascular events post-MI.
- Omics technologies, advanced imaging, and digital monitoring facilitate refined patient phenotyping.
Conclusions:
- Emerging biomarkers and advanced technologies can improve prognostic assessment after MI.
- Understanding novel biomarker roles may reveal new therapeutic targets.
- Personalized management strategies are enabled by refined patient characterization, leading to better clinical outcomes.
Abstract:
Cardiovascular diseases remain the leading cause of mortality worldwide, underscoring the urgent need for improved strategies to reduce their global burden. Despite significant advances in the acute management of myocardial infarction (MI) -notably in reducing short-term mortality and extending patient survival- key gaps persist in our understanding of post-infarction pathophysiology and risk stratification. In particular, predicting long-term outcomes and adverse cardiovascular events following MI continues to be a major clinical challenge. This review provides an overview of emerging biomarkers supported by current scientific evidence that show promise in enhancing prognostic assessment after MI. While cardiac troponins and natriuretic peptides remain the standard for diagnosis and initial risk evaluation, novel biomarkers such as galectin-3, lipoprotein(a), receptor for advanced glycation end-products and non-coding RNAs have been associated with increased risk of mortality and major adverse cardiovascular events. A deeper exploration of their biological roles and related signalling pathways may contribute to the identification of new therapeutic targets. In parallel, recent advances in omics technologies, imaging modalities and digital monitoring are enabling more refined phenotypic characterization of post-MI patients, paving the way for personalized management strategies. Altogether, these developments offer a path toward improved prognostication, targeted therapies, and ultimately better clinical outcomes for individuals recovering from MI.
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