Why the study?
Do serum levels of cardiac biomarkers (cTnI, NT-proBNP, ANP) differ between horses with respiratory disease and apparently healthy horses?
Do serum levels of cardiac biomarkers (cTnI, NT-proBNP, ANP) differ between horses with respiratory disease and apparently healthy horses?
There is no significant difference in serum cardiac biomarkers (cTnI, ANP, NT-proBNP) or ECG waveforms between horses with respiratory disease and healthy horses.
No significant biomarker differences in horses with respiratory disease; this Level 5 finding leaves open subtle cardiac effects and requires larger studies.
Biomarkers are biological gnomons of processes or events occurring within the body. Biomarkers can be sub-divided into leakage enzymes (Cardiac troponin I) and functional markers (Natriuretic peptides). Some studies were represented that these biomarkers may be changes in respiratory disorders. Therefore, present study is performed to evaluate serumic levels of cardiac biomarkers between horses with respiratory disease and apparently healthy horses. Initially 10 horses with manifestations of respiratory disease (include increasing of respiratory and heart rate, coughing, mucopurulent and purulent nasal discharge, mucosal hyperemia, increased CRT) and 8 apparently healthy horses underwent a clinical examination. Age, gender, breed and color of individual horses were recorded. CTnI and NT pro BNP were measured by chemiluminescence immunoassay but ANP was measured by ELISA kit in the serum of blood. Electrocardiogram (ECG) has been recorded in base-apex lead in the stall. The mean ages were of 2.1±00.8 and 1.7±0.8 in apparently healthy horses and patient groups, respectively. The mean value level of all cardiac biomarkers (cTnI, ANP and NT pro BNP) in patient group (0.008±0.002 ng/ml, 280.48±79.51 ng/L and 20.34±0.68 pg/ml) was higher than apparently healthy group (0.007±0.002 ng/ml, 206.92±23.01 ng/L and 20.00±0.00 pg/ml). But, the statistical differences between the groups were not significant (P>0.05). No significant differences were found in waveforms of electrocardiograms between two groups.
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Fereydon Rezazadeh (2016) studied this question.
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