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Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs
Published on: April 17, 2021
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Blood biochemistry changes in a minipig infarction model
Dénes Kőrösi1, Ágoston Göcző2, Noémi Varga3
1Doctoral School in Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár, Hungary.
Frontiers in Veterinary Science
|February 11, 2025
Summary
Biochemical markers in minipigs with induced myocardial infarction showed elevated levels at baseline due to stress, not just the procedure. Optimal timing for baseline blood tests is crucial for accurate myocardial infarction models.
Area of Science:
- Biochemistry
- Cardiovascular Research
- Animal Models
Background:
- Myocardial infarction (MI) models in animals are crucial for studying cardiac events.
- Biochemical markers are used to assess cardiac damage.
- Understanding physiological responses in animal models is key.
Purpose of the Study:
- To evaluate biochemical parameter changes in a minipig myocardial infarction model.
- To investigate the influence of peri-procedural conditions on these markers.
- To determine the impact of stress on baseline measurements.
Main Methods:
- Induced acute myocardial infarction (AMI) in Pannon minipigs via balloon occlusion.
- Collected blood samples at baseline, and on days 3 and 30 post-reperfusion.
- Measured aspartate transaminase (AST), alanine aminotransferase (ALT), creatine kinase (CK), lactate dehydrogenase (LDH), and high-sensitivity troponin I.
Main Results:
- Baseline levels of AST, ALT, CK, and LDH were significantly elevated compared to day 30.
- No significant difference was observed in high-sensitivity troponin I levels.
- A significant difference in the AST/ALT ratio was noted between baseline and day 30.
Conclusions:
- Elevated baseline necroenzymes likely resulted from physical and social stress prior to intervention.
- Peri-procedural stress significantly impacts biochemical parameters in myocardial infarction models.
- Defining optimal timing for baseline blood tests is essential for reliable results in large animal models.
