Association between new circulating proinflammatory and anti-inflammatory adipocytokines with coronary artery disease

Liu, Tong; Han, Chong; Sun, Lixian; Ding, Zhenjiang; Shi, Fei; Wang, Ruijuan; Wang, Wenfeng; Shan, Weichao; Zhang, Ying; Hu, Na; Liu, Jingyi; Bu, Haiwei

doi:10.1097/mca.0000000000000778

Cited by 15 publications

(8 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, some studies [ 16 ] found that IL-37 in severe coronary artery calcification elevated markedly. Other studies [ 17 ] found that IL-37 in coronary artery stenosis was markedly declined, which was consistent with our observation. The research also pointed out that the main effect of IL-37 was to reduce excessive inflammatory reaction through negative feedback, which played a very important role in the innate and adaptive immune system [ 18 ].…”

Section: Discussionsupporting

confidence: 93%

Analysis of Serum Interleukin-37 Level and Prognosis in Patients with ACS

Liu

Cui

Zhang

et al. 2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

Objective. To explore the level of serum interleukin-37 in patients with acute coronary syndrome (ACS) and its prognostic value. Methods. Altogether, 121 continuous ACS cases from September 2017 to June 2020 were selected as the research group (RG), and 107 healthy individuals during the same period were obtained as the control group (CG). ELISA was applied to test IL-37 in the serum of the CG and the RG. Chemiluminescence immunoassay was applied to test NT-pro BNP and hs-cTnI in each group and immune scattering turbidimetry to test hs-CRP. The correlation of IL-37 with serum NT-pro BNP, hs-cTnI, and CRP was analyzed, and the value of IL-37 in diagnosis and prognosis prediction of patients with ACS was tested. Logistic regression was applied to test the independent risk factors affecting poor prognosis of patients with ACS. Results. IL-37 was poorly expressed in patients with ACS, which had a high diagnostic value for ACS (sensitivity: 94.39%, specificity: 74.38%, and area under curve: 0.945). There was a negative correlation of IL-37 with serum NT-pro BNP, hs-cTnI, and CRP. IL-37 in patients with poor prognosis was markedly declined compared with that of patients with good prognosis, and the predicted AUC was 0.965. Logistic regression revealed that low IL-37, diabetes, high CRP, NT-pro BNP, and hs-cTnI in the blood were independent risk factors for poor prognosis in patients with ACS. Conclusion. IL-37 is low expressed in patients with ACS, which has a good diagnostic and prognostic value for ACS, and may be applied as an important marker for the prediction of patients with ACS.

show abstract

Section: Discussionsupporting

confidence: 93%

Analysis of Serum Interleukin-37 Level and Prognosis in Patients with ACS

Liu

Cui

Zhang

et al. 2021

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…PAI-1 as a classical pro-inflammatory adipocytokine associated with CAD is used for the diagnosis and risk assessment in CAD patients [20]. Additionally, PAI contributes to the formation of atherosclerotic plaques [21].…”

Section: Discussionmentioning

confidence: 99%

Some fibrinolytic parameters in coronary artery disease patients: focus on unstable angina subgroups

Tyravska

Bondarchuk

Raksha

et al. 2021

EUMJ

View full text Add to dashboard Cite

Unstable angina is classified into new-onset, progressive, and angina at rest. Though hemostasis plays a crucial role in the pathogenesis of coronary artery disease, including unstable angina, limited data exist regarding peculiarities of fibrinolytic parameters in the above-mentioned types of unstable angina. Our study aims to investigate if there is a difference in the fibrinolytic state between the groups of patients with new-onset, progressive unstable angina in comparison with stable angina patients depending on medical history data, electrocardiographic and hemodynamic features. In our cross-sectional study, we recruited 93 coronary artery disease patients (mean age 62.32 (6.94) years, 41 males (44.1%)). They were divided into 3 groups: stable angina patients (n=22) (control), new-onset unstable angina patients (n=21), and progressive unstable angina patients (n=50). The groups were comparable by baseline characteristics. Blood samples were obtained before treatment onset. The concentrations of tissue plasminogen activator and inhibitor of plasminogen activator (type 1) were measured by the ELISA method. We registered 14 points at the admission department, particularly age, sex, body mass index, smoking, presence of the family history of cardiovascular disorders, ST-segment depression, T-wave variability, arrhythmias, left bundle branch blockage, heart rate, systolic and diastolic blood pressure, Sokolov-Lyon voltage criteria, and unstable angina type (new-onset or progressive). After comparison of fibrinolytic parameters’ concentrations among groups under investigation, we defined the main independent predictors among observed 14 parameters to create optimal regression models for assessment of fibrinolytic parameters concentrations. The groups under investigation differ significantly in concentration of tissue plasminogen activator (P<0.001) and inhibitor of plasminogen activator (type 1) (P<0.001). The tissue plasminogen activator concentration correlated significantly with ST depression (r=0.344, P=0.001), T wave variability (r=-0.233, P=0.02), systolic blood pressure (r=-0.675, P<0.001), diastolic blood pressure (r=-0.655, P<0.001), heart rate (r=-0.568, P<0.001) and clinical unstable angina subgroups (r=-0.706, P<0.001) as well as plasminogen activator inhibitor (type 1) concentration associated with age (r=-0.560, P<0.001), body mass index (r=-0.249, P=0.049), ST-segment depression (r=0.542, P<0.001), arrhythmia (r=0.210, P=0.03), systolic blood pressure (r=0.310, P=0.04), and clinical unstable angina subgroups (r=-0.406, P<0.001). An optimal regression models for tissue plasminogen activator and its inhibitor assessment included systolic blood pressure, heart rate, unstable angina subgroup (R2adj. = 65.0%, P<0.001) and systolic blood pressure, unstable angina subgroup (R2adj. = 42.7%, P<0.001), respectively. Thus, fibrinolytic state among unstable angina clinical types differs significantly independently on observed baseline clinical, electrocardiographic and hemodynamic parameters. This finding confirms the utility of Braunwald unstable angina classification.

show abstract

“…RBP4 has received increasing attention over the past few years, with numerous epidemiological studies investigating the relationship of RBP4 levels with the risk of CAD. However, researchers have not clearly determined whether increased RBP4 levels are associated with the risk of CAD, as most studies have reported similar results that elevated circulating RBP4 levels are related to CAD [ 7 – 11 ], whereas a nonsignificant or even negative relationships between RBP4 levels and CAD were documented in other studies [ 12 – 14 ]. Recently, one study reported that serum RBP4 levels were negatively associated with CAD in men but not in women, revealing that hormone-related factors might influence the effect of RBP4 on the development of CAD [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Circulating retinol binding protein 4 levels in coronary artery disease: a systematic review and meta-analysis

et al. 2021

View full text Add to dashboard Cite

Background Retinol binding protein 4 (RBP4) has been proposed to play a role in the pathophysiology of coronary artery disease (CAD), but previous findings on the association of RBP4 levels with CAD are inconsistent. Methods A meta-analysis based on observational studies was conducted to evaluate the association between circulating RBP4 levels and CAD. Databases including PubMed, Web of Science, Embase, Google Scholar and ClinicalTrials.gov database were searched for eligible studies published up to 12 July 2021. Standard mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using the inverse variance heterogeneity (IVhet) and random-effects model for data with moderate and high heterogeneity (I2 > 30%) and data with low heterogeneity were analysed using a fixed-effects model (I2 ≤ 30%). Moreover, a bias-adjusted quality-effects model was generated, and the prediction interval was also calculated under the random-effects model. Results Two nested case-control studies, one cohort study and twelve case–control studies with a total of 7111 participants were included. Circulating RBP4 levels in patients with CAD were comparable to those in the controls under the IVhet model (SMD: 0.25, 95% CI: − 0.29-0.79, I2: 96.00%). The quality-effects model produced consistent results. However, the association turned to be significant under the random-effect model (SMD: 0.46, 95% CI: 0.17–0.75, I2: 96.00%), whereas the 95% predictive interval (PI) included null values (95% PI: − 0.82-1.74). Subgroup analyses illustrated a positive relationship between CAD and RBP4 levels in patients with complications (SMD: 1.34, 95% CI: 0.38–2.29, I2: 96.00%). The meta-regression analysis revealed that the mean BMI of patients (P = 0.03) and complication status (P = 0.01) influenced the variation in SMD. Conclusions There was low-quality evidence that patients with CAD exhibited similar circulating RBP4 levels compared with controls, and high inter-study heterogeneity was also observed. Thus, RBP4 might not be a potential risk factor for CAD. Comparisons among different subtypes of RBP4 with larger sample size are needed in the future.

show abstract

Association between new circulating proinflammatory and anti-inflammatory adipocytokines with coronary artery disease

Abstract: Supplemental Digital Content is available in the text.

Cited by 15 publications

References 40 publications

Analysis of Serum Interleukin-37 Level and Prognosis in Patients with ACS

Analysis of Serum Interleukin-37 Level and Prognosis in Patients with ACS

Some fibrinolytic parameters in coronary artery disease patients: focus on unstable angina subgroups

Circulating retinol binding protein 4 levels in coronary artery disease: a systematic review and meta-analysis

Contact Info

Product

Resources

About