ArticleHeliyon2024
Serum myeloperoxidase, paraoxonase, and plasma asprosin concentrations in patients with acute myocardial infarction.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Asprosin as a Potential Link Between Vascular Inflammation and Disease Activity in Behçet's Disease.Journal of clinical laboratory analysis · 2026Article
- Noncatalytic Functions Are Required for MPO and PON1 in Modulating the Involvement of Monocytes and Endothelial Cells in Atherosclerosis.Biochemistry research international · 2026Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The objective of this study was to evaluate the usefulness of the serum biomarkers myeloperoxidase (MPO), paraoxonase (PON), and plasma asprosin in acute myocardial infarction (AMI) diagnosis and assess their compatibility with routinely screened cardiac biomarkers. Methods: This study was conducted using a prospective cross-sectional design and included 90 patients, consisting of 60 patients diagnosed with AMI (30 with ST-segment elevation and 30 with non-ST-segment elevation on ECG) and 30 controls (without a diagnosis of AMI). Changes in the levels of cardiac biomarkers (Hs-cTnI, CK, CK-MB), lipid profile (TC, TG, LDL, HDL), MPO, PON, asprosin, and routine biochemical parameters of patients were evaluated. Furthermore, receiver operating characteristic curve analysis revealed the diagnostic value of Hs-cTnI, MPO, PON, and asprosin in predicting AMI. Binary logistic regression analysis of cardiac marker concentrations was used to predict the presence of AMI. In contrast, multinomial logistic regression analysis was conducted to predict the type of AMI and the control group. Results: The median levels of MPO and plasma asprosin were found to be higher in the patient group (3.22 [interquartile range {IQR}: 2.4-4.4] ng/ml and 10.84 [IQR: 8.8-17.8] ng/ml, respectively) than in the control group (2.49 [IQR: 1.9-2.9] ng/ml and 4.82 [IQR: 4.6-8.0] ng/ml, respectively) (p = 0.001 and p < 0.001, respectively). The median levels of PON were 8.94 (IQR: 7.6-10.4) ng/ml in the patient group and 10.44 (IQR: 9.1-20.0) ng/ml in the control group (p < 0.001). In the binary logistic regression model, compared with the control group, a 1 ng/ml increase in MPO level increased the odds of having AMI by 3.61 (p = 0.041, 95% CI: 1.055-12.397), whereas a 1 ng/ml increase in asprosin level increased the odds of having AMI by 2.33 (p < 0.001, 95% CI: 1.479-3.683). In the multinominal logistic regression model, compared with the control group, a 1 ng/ml increase in the MPO level increased the odds of having NSTEMI by 4.14 (p = 0.025, 95% CI: 1.195-14.350), whereas a 1 ng/ml increase in asprosin concentrations increased the odds of having NSTEMI by 2.35 (p < 0.001, 95% CI: 1.494-3.721). Conclusion: Herein, MPO and asprosin concentrations increased with Hs-cTnI, and a decrease in PON concentration indicated that oxidant-antioxidant parameters and adipokines were related to AMI pathogenesis.
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