Adipokines and Inflammatory Markers in Acute Myocardial Infarction Patients with and without Obstructive Sleep Apnea: A Comparative Analysis

An association has been suggested between acute myocardial infarction (AMI) and obstructive sleep apnea (OSA). Considering the role of adipose-tissue-derived inflammatory mediators (adipokines) and the shared risk factor of obesity in OSA and AMI, this study aimed to investigate the involvement of adipokines in AMI patients with and without OSA. Serum levels of adipokines and inflammatory mediators were quantified, and home respiratory polygraphy was conducted. A total of 30 AMI patients and 25 controls were included. Patients with AMI exhibited elevated levels of resistin (7.4 vs. 3.7 ng/mL), interleukin-6 (8.8 vs. 1.3 pg/mL), and endothelin-1 (3.31 vs. 1.8 pg/mL). Remarkably, AMI patients with concomitant OSA exhibited higher levels of resistin (7.1 vs. 3.7 ng/mL), interleukin-6 (8.9 vs. 1.3 pg/mL), endothelin-1 (3.2 vs. 1.8 pg/mL), creatin kinase (1430 vs. 377 U/L), creatine kinase-MB (64.6 vs. 9.7 ng/mL), and troponin T (2298 vs. 356 pg/mL) than their non-OSA counterparts. Leptin showed a correlation with OSA severity markers. OSA was associated with greater cardiac damage in AMI patients. Our findings underscore that adipokines alone are not sufficient to discriminate the risk of AMI in the presence of OSA. Further research is necessary to determine the potential mechanisms contributing to exacerbated cardiac damage in patients with both conditions.

Utility of miR-155, miR-21 and miR-16 in plasma as biomarkers of atrial fibrillation

Background

Atrial fibrillation (AF) is associated with increased morbidity and mortality. MicroRNAs (miRs) are post-transcriptional regulators that could be useful in the study of AF.

Purpose

To investigate whether miR-16, miR-21 and miR-155 may differentiate between AF and sinus rhythm.

Methods

29 controls and 42 AF (June 2019-May 2020). Lipid profile, hsCRP were measured. Serum RNA extraction was performed. Hsa-miR-21, hsa-miR-16, hsa-miR-155, and cel-miR-39 were amplified RT-PCR. Quantitative results for miR levels were generated according to the 2-ΔCt method using cel-miR-39 for normalization. Correlations were assessed by Spearman rank test. Logistic regression analysis was adjusted by age, sex, and BMI vs miR's. A p<0.05 was set for significance.

Results

(controls vs AF): age (56 [52–63] vs 60 [64–67] years, p=0.122), BMI (30.52 [27.69–32.67] vs 29.65 [26.3–32.9] kg/m2 p=0.779), female 17 (58.6%) vs 19 (45.2%), p=0.268; total cholesterol (198.4 [17.2–215] vs 171.3 [150.3–216.8] mg/dL, p=0.066), LDL (126.6 [114.7–141.6] vs 99.2 [80.7–124] mg/dL, p=0.005) HDL (40.4 [36.8–45.8] vs 43.8 [36.9–48.5] p=0.326) and CRP (2.69 [1.22–4.72] vs 2.92 [1.4–4.76] mg/L p=0.835). The CHA2DS2VASC score in AF was <2=11 (45.2%) and ≥2= 26 (54.8%).

MicroRNA levels (controls vs AF): miR-21 0.0195 (0.0095–0.0275) vs 0.042 (0.028–0.098) p<0.001; miR-155 0.0178 (0.0108–0.0309) vs 0.01 (0.0056–0.0169) p<0.001, and miR-16 0.5238 (0.2618–1.992) vs 0.1652 (0.0765–0.3816) p<0.001.

In the logistic regression miR-21 had a positive correlation with AF, c=0.851 p=0.002, Wald=9.89. miR-16 and miR-155 a negative relation (c=0.76,0.72; p=0.036, 0.043, Wald=4.39, 4.085; respectively) (Fig. 1A, B, C).

For multivariable analysis we used miR-16, miR-21, and miR-155 as previous analysis demonstrated significance with an overall model c=0.90 p=0.028 (Wald=14.2) and significance was seen in the miR-21 Wald= 9.33 (p=0.002); and miR-155 Wald=4.7 (p=0.03); miR-16 was not significant (Wald=2.7, p=0.1). A ternary plot was performed using the predicted outputs of the model. (Fig. 2)

Conclusion

miR-16, miR-21 and miR-155 are useful for the discrimination of AF vs sinus rhythm and may be part of important physiopathological pathways in AF.

Funding Acknowledgement

Type of funding sources: Public hospital(s). Main funding source(s): Instituto Nacional de Cardiología Ignacio Chávez Figure 1. Logistic regression curvesFigure 2. Multivariate ternary plot of miRs