Human epicardial adipose tissue inflammation correlates with coronary artery disease.

BACKGROUND AND AIMS: This study investigates the expression of novel adipocytokines and inflammatory cells infiltration in epicardial adipose tissue (EAT) and subcutaneous adipose tissue (SAT) between 27 coronary artery disease (CAD) and 21 non-CAD (NCAD) patients enrolled from September 2020 to September 2021. METHODS AND RESULTS: Serum, gene, and protein expression levels of the novel adipocytokines were determined using ELISA, RT-qPCR, and western blot analyses. The number of blood vessels and adipocytes morphology were measured via hematoxylin-eosin staining, and inflammatory cells infiltration was examined via immunohistochemistry. Serum ANGPTL8, CTRP5, and Wnt5a levels were higher in the CAD than in the NCAD group, while serum CTRP3, Sfrp5, and ZAG levels were lower in the CAD than in the NCAD group. Compared to the EAT of NCAD and SAT of CAD patients, the EAT of CAD patients had higher mRNA levels of ANGPTL8, CTRP5, and Wnt5a while lower levels of CTRP3, Sfrp5, and ZAG; higher protein expression levels of ANGPTL8 and CTRP5 but lower levels of CTRP3; more blood vessels; and higher infiltration rates of macrophages (CD68 + ), pro-inflammatory M1 macrophages (CD11c + ), mast cells (Tryptase + ), T lymphocytes (CD3 + ), and B lymphocytes (CD20 + ) but lower infiltration rates of anti-inflammatory M2 macrophages (CD206 + ). CONCLUSION: Novel adipocytokines and inflammatory cells infiltration are dysregulated in human EAT, and could be important pathophysiological mechanisms and novelly promising medicating targets of CAD.

Association of Nonalcoholic Fatty Liver Disease with Ventricular Tachycardia and Sinus Arrest in Patients with Non-ST-Segment Elevation Myocardial Infarction.

Nonalcoholic fatty liver disease (NAFLD) is an emerging driver of cardiac arrhythmias. However, the relationship between NAFLD and malignant arrhythmia in non-ST-segment elevation myocardial infarction (NSTEMI) patients is still unclear.In this study, 358 NSTEMI inpatients were enrolled. They all received 24-hour Holter monitoring after percutaneous coronary intervention. All inpatients were divided into two groups: the non-NAFLD group (236 cases, 65.9%) and the NAFLD group (122 cases, 34.1%). Compared with the non-NAFLD group, the NAFLD group had a significantly higher incidence of PVCs/hour > 5 (premature ventricular complexes, 32.0% versus 9.3%, P < 0.001), ventricular tachycardia (VT, 22.1% versus 5.9%, P < 0.001), and sinus arrest (SA, 7.4% versus 1.3%, P = 0.002). We found that NAFLD was closely associated with the occurrence of VT [unadjusted odds ratio (OR) 4.507, 95% confidence interval (CI) 2.263-8.974, P < 0.001] and SA (OR 6.186, 95%CI 1.643-23.291, P = 0.007). After adjusting for age, sex, body mass index, and other confounding factors, the above differences were still statistically significant (VT: OR 4.808, 95%CI 2.254-10.253, P < 0.001; SA: OR 9.589, 95%CI 2.027-45.367, P = 0.004).NAFLD is associated with the occurrence of VT and SA in NSTEMI patients. It indicates that NAFLD might be a risk factor for malignant arrhythmias in post-NSTEMI patients.

A Review of the Relationship Between CTRP Family and Coronary Artery Disease.

PURPOSE OF REVIEW: In recent years, a family of adiponectin paralogs designated as C1q/TNF-related protein (CTRP) has attracted increasing attention. They are inflammatory adipocytokines mostly secreted from epicardial adipose tissue, which modulate the development and prognosis of coronary artery disease (CAD). This review summarizes the pathophysiological roles of individual members of the CTRP superfamily in the development of CAD. RECENT FINDINGS: Recent studies have revealed how members of the CTRP family, CTRP1, CTRP3, CTRP5, CTRP9, CTRP12, and CTRP13, can influence both development and progression of CAD by modulating metabolic pathways, influencing immuno-inflammatory response, and regulating cardiovascular functions. Research to date has not been sufficient to answer the specific mechanism of the CTRP family in the occurrence and development of CAD. This review explores the evidence of CTRP superfamily regulating different pathophysiology stages of CAD through the immuno-inflammation, glucose and lipid metabolism, and vascular endothelial function.

The correlation of retinol-binding protein-4 and lipoprotein combine index with the prevalence and diagnosis of acute coronary syndrome.

Retinol-binding protein-4 (RBP-4) along with the lipid profile plays crucial roles in Acute coronary syndrome (ACS). The study aimed to investigate the correlation of RBP-4, lipoprotein combine index (LCI), and RBP-4 + LCI with ACS. 163 ACS and 77 non-CAD in patients were consecutively enrolled in this study. The serum level of RBP-4 was measured via enzyme-linked immunosorbent assay. LCI was calculated using the formula: total cholesterol × triglyceride × low-density lipoprotein cholesterol/high-density lipoprotein cholesterol. RBP-4 ≥4 ng/ml, LCI ≥16 and LCI ≥16 + RBP-4 ≥4 ng/ml were new independent risk factors of ACS, and OR value of LCI ≥16 + RBP-4 ≥4 ng/ml was higher than that of RBP-4 and LCI combined (all p < 0.05). The AUC for LCI + RBP-4 was higher than that for LCI and RBP-4 individually. The risk of high LCI in 1 lesion vessel was greater than those of 2 or ≥3 lesion vessels (all p < 0.05). In 1 lesion vessel or ≥3 lesion vessels group, the risk associated with LCI and RBP-4 combined was higher than the risk of LCI or RBP-4 alone (all p < 0.05). The risk of hypertension, diabetes mellitus, smoking and history of MI increased with numbers of vessels lesion (all p < 0.05). Increase in RBP-4 and LCI values were found to be independent risk factors for ACS, and the risk of the combined rise in LCI and RBP-4 values was higher than LCI or RBP-4 alone. The combined tests of LCI and RBP-4 might be a potential diagnostic marker for ACS.

The Clinical Characteristics of Heart Rate Variability After Stroke: A Systematic Review.

The autonomic nervous system dysfunction has been reported in up to 76% of stroke patients 7 days after an acute stroke. Heart rate variability (HRV) is one of the important indicators reflecting the balance of sympathetic and parasympathetic nerves. Therefore, we performed a systematic literature review of existing literature on the association between heart rate variability and the different types of stroke. We included studies published in the last 32 years (1990 to 2022). The electronic databases MEDLINE and PubMed were searched. We selected the research that met the inclusion or exclusion criteria. A narrative synthesis was performed. This review aimed to summarize evidence regarding the potential mechanism of heart rate variability among patients after stroke. In addition, the association of clinical characteristics of heart rate variability and stroke has been depicted. The review further discussed the relationship between post-stroke infection and heart rate variability, which could assist in curbing clinical infection in patients with stroke. HRVas a noninvasive clinical monitoring tool can quantitatively assess the changes in autonomic nervous system activity and further predict the outcome of stroke. HRV could play an important role in guiding the clinical practice for autonomic nervous system disorder after stroke.

Nomograms Based on the Albumin/Neutrophil-to-Lymphocyte Ratio Score for Predicting Coronary Artery Disease or Subclinical Coronary Artery Disease.

Purpose: To develop and validate two nomograms incorporating the albumin/neutrophil-to-lymphocyte ratio score (ANS) for predicting the risk of coronary artery disease (CAD) or subclinical CAD. Patients and Methods: Four hundred fifty patients with suspected CAD who underwent coronary computed tomographic angiography were consecutively enrolled between September 2015 and June 2017. Nomograms were established based on independent predictors of CAD or subclinical CAD. Results: In total, 437 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, age ≥65 years, smoking, hypertension, diabetes, dyslipidemia, ischemic stroke, and ANS were independent predictors of CAD and subclinical CAD. The areas under the curve of each nomogram were 0.799 (95% CI: 0.752-0.846) and 0.809 (95% CI: 0.762-0.856), respectively. The calibration curve and decision curve analysis showed good performance for the diagnostic nomograms. The prediction of CAD or subclinical CAD by the ANS was not modified by the independent predictors (all, p for interaction >0.05). Conclusion: Our ANS-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD or subclinical CAD.

Inflammatory biomarkers, angiogenesis and lymphangiogenesis in epicardial adipose tissue correlate with coronary artery disease.

In this study, we explored the relationship between inflammatory adipokine levels and coronary artery disease (CAD). We collected subcutaneous adipose tissues(SAT), pericardial adipose tissues(PAT), and epicardial adipose tissues (EAT) and serum samples from 26 inpatients with CAD undergone coronary artery bypass grafting and 20 control inpatients without CAD. Serum inflammatory adipokines were measured by ELISA. Quantitative real-time PCR and western blot were used to measure gene and protein expression. Adipocyte morphology was assessed by H&E staining. Immunohistochemistry and immunofluorescence were used to measure endothelial and inflammatory markers. Serum pro- and anti-inflammatory adipokine levels were higher and lower, respectively, in the CAD group than those in the control group (P < 0.05). In CAD, the pro-inflammatory adipokine levels via ELISA in EAT and PAT were elevated. Pro-inflammatory adipokine mRNA expression was increased, while anti-inflammatory adipokine mRNA expression decreased, in CAD relative to NCAD in EAT and PAT rather than SAT. In EAT, adipocyte area and macrophage-specific staining were lower, while lymphatic vessel marker expression was higher in CAD. Additionally, the endothelial marker expression in EAT was higher than PAT in CAD. The three tissue types had different blood vessel amounts in CAD. The regulation and imbalance expression of the novel biomarkers, including inflammatory adipokine, macrophage infiltration, angiogenesis, and lymphangiogenesis in EAT and PAT, may be related to the pathogenesis of CAD. The serum levels of inflammatory adipokines may correlate to CAD, which requires large sample size studies to get further validation before clinic practice.

Atherogenic Index of Plasma, Triglyceride-Glucose Index and Monocyte-to-Lymphocyte Ratio for Predicting Subclinical Coronary Artery Disease.

BACKGROUND: The atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, and monocyte-to-lymphocyte ratio (MLR) are strongly associated with atherogenesis of the coronary artery. This study aimed to investigate the association of the AIP, TyG index, and MLR with subclinical coronary artery disease (CAD) and evaluate their ability to predict subclinical CAD. METHODS: A total of 697 asymptomatic patients were enrolled in this study and assigned to the subclinical CAD group (n=332) and control group (n=365). The clinical data, coronary artery calcification score, and calculated AIP, TyG index, and MLR were collected by graduate students in the cardiology division. Multivariate logistic regression models were set up to assess the risk factors for subclinical CAD. RESULTS: The AIP, TyG index and MLR values were higher in the subclinical CAD group than in the control group (all P<0.05). In addition to the classic independent clinical risk factors, increased AIP, TyG index and MLR values were all independent risk factors for subclinical CAD (all P<0.05). The AUCs were higher after combining clinical risk factors than the AIP, TyG index, or MLR alone (all P<0.05). CONCLUSIONS: The AIP, TyG index and MLR are independent risk factors for subclinical CAD, which can be useful for improving the diagnosis and prevention of CAD.

Association between triglyceride glucose index and coronary artery disease with type 2 diabetes mellitus in middle-aged and elderly people.

ABSTRACT: This study aimed to investigate the correlation between triglyceride glucose (TyG) index and coronary artery disease (CAD) with type 2 diabetes mellitus (T2DM) and identify the risk associated TyG index in different subgroups.A total of 1665 eligible inpatients (CAD with T2DM group [n = 680], non-coronary artery disease without T2DM [n = 985]) were consecutively enrolled in this study. They were assigned into 4 subgroups: middle-aged, elderly, male, and female subgroups. Receiver operating characteristic curve diagnostic test and a logistic regression model was established to analyze the risk factors for CAD with T2DM.TyG index is an independent risk factor for patients with CAD with T2DM. The risk of increased TyG index is greater in the middle-aged and male subgroups than in the elderly and female subgroups, respectively (all P < .05). The specificity and the positive predictive value of the TyG index is greater than the sensitivity and the negative predictive value, respectively (all P < .05).Increased TyG index is a new independent risk factor for CAD with T2DM, and its risk is higher in the middle-aged and male subgroups than in the elderly and female subgroups, respectively. TyG index may be used as a clinical predictor of CAD with T2DM.

Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification.

AIM: To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). METHODS: The study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis. RESULTS: In total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all P < .05). CONCLUSIONS: ALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.

Association of lymphocyte-to-monocyte ratio with total coronary plaque burden in patients with coronary artery disease.

BACKGROUND: Lymphocyte-to-monocyte ratio (LMR) is involved in all stages of coronary atherosclerosis and related to coronary artery disease (CAD). However, the correlation between LMR and the coronary plaque burden of CAD is not clearly elucidated. Therefore, this study aimed to investigate their correlation in patients with CAD. METHODS: A total of 1953 consecutive eligible inpatients with suspected CAD were retrospectively included in this study. They were assigned into CAD (n = 564) and non-CAD groups (n = 1389). All patients underwent coronary computed tomographic angiography to evaluate coronary stenosis and coronary artery calcification (CAC). Spearman's tests were used to analyze the correlation between CAC score and LMR. Multivariate logistic regression models were set up to assess the risk factors of CAD. RESULTS: Patients with CAD had lower LMR value than patients without CAD (P = 0.001). LMR was negatively correlated with CAC score and was an independent risk factor of CAC score (P < 0.05). Multivariate logistic regression model showed that LMR ≤4.8 was a newly independent risk factor of CAD (all P < 0.05). Additionally, the new risk score model was compared with the Framingham model and showed that NRI was 4.9%, which proved that the new risk score model improved the prediction capability of CAD. CONCLUSION: LMR ≤4.8 is a new independent risk factor of CAD. LMR value was negatively correlated with CAC score and could be used as a new marker to evaluate the coronary plaque burden of CAD.

Pericardial adipose tissue is an independent risk factor of coronary artery disease and is associated with risk factors of coronary artery disease.

OBJECTIVE: Pericardial adipose tissue volume (PATV) is related to the mechanism of coronary artery disease (CAD), but its association with CAD risk factors is not clear. This study aimed to investigate the relationships between PATV and its associated factors. METHODS: A total of 682 inpatients were consecutively enrolled in this study. Patients were divided into the high PATV group (PATV ≥174.5 cm3; n = 506) and low PATV group (PATV < 174.5 cm3; n = 176). Multiple linear regression analysis was conducted to evaluate the related factors of PATV. Multivariable logistic regression was used to analyze the risk factors of CAD. RESULTS: Left ventricular fat volume, right ventricular fat volume, body mass index, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol were significant and independent risk factors of enlargement of PATV. Increased PATV was identified as an independent risk factor of CAD, and increased pulse pressure was also independently and positively correlated with CAD. CONCLUSIONS: PATV is significantly correlated with the classic risk factors of CAD. Pulse pressure is also correlated with PATV. PATV is an independent risk factor of CAD, and pericardial adipose tissue may alternatively be used in non-invasive diagnostic examination of CAD.