Abstract
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 (Pā<ā0.05). 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.
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Introduction
To date, the incidence of coronary artery disease (CAD) remains high and the main cause of death worldwide1. However, the pathogenesis of CAD is still not clearly understood. Chronic inflammation is a key pathological mechanism of CAD that may increase aggravation of the disease2. Large numbers of pro- and anti-inflammatory adipokines promoting CAD development are secreted from epicardial adipose tissue (EAT)3,4. Previous studies have found that adipokines and inflammatory factors in EAT are associated with CAD, such as secreted frizzled-related protein 5, angiopoietin-like 45,6. Complement-Clq tumor necrosis factor (TNF)-related protein (CTRP)1/9, chitinase-3-like protein 1 (YKL-40), secreted frizzled-related protein 4 (SFRP-4), salusin-Ī², meteorin-like (Metrnl), and salusin-Ī± are emerging adipokines potentially correlating with CAD. EAT promotes macrophage infiltration, which secrete inflammatory factors, via directly migrating from EAT to coronary arteries during the occurrence and development of CAD7,8. Local inflammation and ischemia induce the production of blood vessels and lymphatic vessels, and proinflammatory factors can promote the secretion of certain vascular lymphatic modulators, such as vascular endothelial growth factors (VEGFs)9,10. Preclinical studies in animal models of hypercholesterolemia show that adventitial angiogenesis promotes atherosclerotic plaque progression, and that lymphatic vessels also exist and develop in parallel with blood vessels11. The vascular and lymphatic endothelial chemical markers CD31, CD34, podoplanin (PDPN), and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1) are used to assess lymphatic vessel formation in tissues12,13. EAT, pericardial adipose tissue (PAT), subcutaneous adipose tissue (SAT) may play a different effects on myocardium due to the different biomolecules, genetic characteristics and anatomical location14. However, the relationship between the expression levels of the above factors in EAT, PAT, SAT and CAD remains unclear.
In this study, we investigated the expression of inflammatory adipokines and regulators of lymphatic vessel formation, as well as differences in neovascularization and lymphangiogenesis in EAT, PAT, and SAT, between CAD and non-CAD (NCAD) patients.
Materials and methods
Patients
In this study, 26 inpatients with angiographic CAD who underwent coronary artery bypass grafting were enrolled in the CAD group from March to September 2019, and in the same period, 20 control inpatients with chronic valvular heart disease without coronary artery stenosis needing valve replacement were enrolled in the NCAD group. The inclusion criterion for CAD patients was the presence of three-vessel disease (coronary artery stenosisāā„ā50% in the left main artery, or three branches more than 70% in any other coronary arteries). The exclusion criteria were ageā>ā80Ā years, acute myocardial infarction, active chronic inflammation disease, liver or renal failure, and pharmacological glucocorticoid or immunosuppressive therapy. The baseline characteristics of the demographic and clinical information were collected by the masterās degree students. The drugs including aspirin, Ī²-R inhibitor, statin, ACEI/ARB patients use after discharge hospitalization. Hypertension was defined as systolic blood pressureāā„ā140Ā mmHg and/or diastolic blood pressureāā„ā90Ā mmHg at rest, or previously diagnosed as hypertension in antihypertensive therapy15. Diabetes was defined as diabetes symptoms and random blood glucoseāā„ā11.1Ā mmol/L, or fasting plasma glucoseāā„ā7.0Ā mmol/L, or 2-h oral glucose tolerance test levelāā„ā11.1Ā mmol/L, or no diabetes symptoms and at least twice blood glucose meets the above criteria16. Dyslipidemia was defined as serum total cholesterolāā„ā5.18Ā mmol/L, high-density lipoprotein cholesterol (HDL-C)āā¤ā1.04Ā mmol/L, low-density lipoprotein cholesterol (LDL-C)āā„ā3.37Ā mmol/L, or triglycerideāā„ā1.7Ā mmol/L or previous diagnosis of dyslipidemia in medication17. In this study, all patients quit smoking less than 1Ā year. So, smoking was defined as current or prior smoking. Stroke was defined as a patient with a history of ischemic stroke.
Blood and tissue sampling
Ten milliliters of fasting arterial blood was collected in a blood collection tube before heparinization of all patients, followed by centrifuging for 10Ā min at 3500Ā rpm, then the serum samples were collected and stored at -80Ā Ā°C. EAT, PAT, SAT (500ā600Ā mg each) were collected during the coronary artery bypass grafting or valve replacement surgery from the atrioventricular groove next to the right atrial appendage, the pericardial surface, and chest incision, respectively. Each adipose tissue sample was divided into three portions: two were frozen immediately atāāā80Ā Ā°C for RNA and protein extraction, the other was immersed in neutralized formalin for embedding tissue in paraffin blocks.
Enzyme-linked immunosorbent assay (ELISA)
The serum inflammatory adipocyte factor levels were measured using an ELISA kit (Meimian Biotech Co., Ltd., Jiangsu, China) according to the manufacturerās protocol. The pro-inflammatory adipocyte factors included tumor necrosis factor-Ī± (TNF-Ī±), CTRP1, YKL-40, SFRP-4, Salusin-Ī². The anti-inflammatory adipocyte factors included adiponectin (ADP), CTRP9, Metrnl, Salusin-Ī±. Samples were tested in duplicate and experiments were repeated twice.
Quantitative real-time polymerase chain reaction (RT-qPCR)
Total RNA was extracted from EAT, PAT, SAT in liquid nitrogen using TRIzol reagent (Tiangen Biotech Co., Ltd., Beijing, China) according to the manufacturerās instructions. The concentration and purity of extracted RNA were assessed by calculating the ratio of optical density at 260Ā nm and 280Ā nm. One microgram total RNA was used as a template to be converted into cDNA using a FastQuant RT Kit (with gDNase) (Tiangen Biotech). RT-qPCR analysis was conducted using the SuperReal PreMix Plus (Tiangen Biotech) to determine the gene expression. Every mRNA amplification reaction conditions were as follows: 95Ā Ā°C for 10Ā min, followed by 40 cycles of 95Ā Ā°C for 10Ā s, 60Ā Ā°C for 20Ā s, and 72Ā Ā°C for 15Ā s. The primers for CTRP1, YKL-40, SFRP-4, CTRP9, Metrnl, vascular endothelial growth factor (VEGF)-C, VEGF-D, vascular endothelial growth factor receptor 3 (VEGFR-3), and GAPDH are shown in TableĀ 1. GAPDH was used as the housekeeping gene, and all data were presented as relative mRNA levels. Threshold cycle values were recorded and relative gene expression was calculated using the 2āāāĪĪ CT formula (PMID: 16972087).
Western blot
The EAT, PAT, and SAT samples were weighed and treated with Radio Immunoprecipitation Assay (RIPA) Lysis Buffer (Solarbio, Beijing, China) (300Ā Ī¼L/10Ā mg) extract protein, incubated on ice for 30Ā min, followed by centrifugation at 12,000Ā g for 10Ā min at 4Ā Ā°C, collected the supernatants. The protein concentrations were determined using a BCA protein assay kit (Applygen, Beijing, China). Afterward, samples (50Ā Ī¼g of protein) were separated by 12% SDSāpolyacrylamide gel electrophoresis and subsequently transferred to polyvinylidene difluoride membrane. During the test of Western blotting, the blots were cut prior to hybridization with the antibodies, according to the molecular weight, determining the position of the target protein to complete the cut of polyvinylidene difluoride membrane. Next, the samples were blocked with PBS-Tween 20 (TBST) containing 5% non-fat dry milk for 1Ā h at 25Ā Ā°C. The membranes were incubated with primary antibody anti-CTRP9 (3:2000, Thermo Fisher Scientific, Waltham, MA, PA5-63333), anti-CTRP1 (4:1000, Thermo, PA5-20146), anti-YKL-40 (1:1000, Abcam, Cambridge, UK, ab255297), overnight at 4Ā Ā°C, with anti-GAPDH used as an internal control. Followed by incubation with secondary antibodies for 1Ā h. The membranes were detected with chemiluminescence solution A and B mixed at a 1:1 ratio, the bandsā density was calculated by densitometric analysis using Image J 1.6.0 software.
Hematoxylin & eosin (H&E) staining
Adipose tissue was fixed in 4% paraformaldehyde overnight, dehydrated, embedded in paraffin wax, and then cut into 5Ā Ī¼m-thick slices for H&E staining, immunohistochemistry, and immunofluorescence. The sections for H&E staining were subsequently deparaffined and rehydrated via a xylene and alcohol series before performing H&E staining according to standard histology procedures. The mean area of the adipocytes of each slide were measured using an automated image analysis system (ImageJ 1.6.0).
Immunohistochemistry
The sections for immunohistochemistry were heated to 60Ā Ā°C for 1Ā h, then dewaxed, rehydrated, and rinsed with PBS (Solarbio). Antigen retrieval was performed in sodium citrate buffer with a microwave oven for 10Ā min, then rinsed with PBS. Sections were incubated with primary antibodies CD68+ā(Abcam), CD206+ā(Santa Cruz Biotechnology, Inc., Dallas, TX, USA), CD11c+ā(Abcam), PDPN (Santa Cruz Biotechnology), LYVE-1 (Abcam) overnight at 4Ā Ā°C in a moist chamber, then rinsed with PBS. The sections were incubated with secondary antibodies for 30Ā min at 37Ā Ā°C, then rinsed three times with PBS; 50ā100Ā Ī¼L DAB reagent was added. Images were taken at a Olympas confocal microscope (Japan). The AOD of each slide was calculated from three separate fields viewed atāĆā400 magnification with a Nikon fluorescence microscope (Japan).
Immunofluorescence
The sections for immunofluorescence were heated to 60Ā Ā°C for 1Ā h, then dewaxed, rehydrated, and rinsed with PBS. Antigen retrieval was performed in sodium citrate buffer with a microwave oven for 15Ā min, then rinsed with PBS. Sections were incubated with primary antibodies CD31+ā(Abcam), CD34+ā(Santa Cruz Biotechnology), overnight at 4Ā Ā°C in a moist chamber, then rinsed with PBS. Then, the sections were incubated with secondary antibodies for 1Ā h at room temperature, then 50ā100Ā Ī¼L DAPI reagent was added. The images were measured using an automated image analysis system (ImageJ 1.6.0). The AOD of each slide was calculated from three separate fields viewed atāĆā400 magnification with a Nikon fluorescence microscope (Japan).
Statistical analysis
Statistical analysis was performed using SPSS 19.0 (SPSS Inc., Chicago, IL, USA). All tests were two-tailed, and the differences were considered statistically significant at Pā<ā0.05. Normality of all continuous variables were tested by KolmogorovāSmirnov, and reported as mean value and SD or median and the interquartile range (IQR), MannāWhitney U test was used to compare the relationship between the CAD and NCAD groups. Whereas categorical variables were expressed as percentages, the differences between the two groups were tested with chi-square test. The KruskalāWallis H test was used for the comparison among the three groups, and the multiple comparison between the groups was used āall pairwiseā, the test level was adjusted to Pā=ā0.0083. Correlation analysis between variables was performed using Spearmanās rank correlation coefficient. Receiver operating characteristic curve was used to determine the diagnostic efficacy and the best diagnostic cut-off point for serum inflammatory factor level.
Ethics approval and consent to participate
This study was carried out in accordance with the World Medical Associationās Code of Ethics (Helsinki Declaration) and approved by the Institutional Review Boards of the Affiliated Hospital of Chengde Medical University (approval number LL071). Written informed consent was obtained from each patient before enrollment.
Results
Baseline characteristics
Patient baseline characteristics are shown in TableĀ 2. The demographic data, including gender, age, body mass index, and smoking, were similar between the two groups (Pā>ā0.05). Compared with the NCAD group, morbidity due to chest pain and hypertension were significantly higher in the CAD group (both Pā<ā0.05), whereas average uric acid and blood urea nitrogen were lower in the CAD group relative to the NCAD group (all Pā<ā0.05) (TableĀ 2).
Serum inflammatory adipokines levels in CAD and NCAD patients
Levels of the proinflammatory adipokines TNF-Ī±, CTRP1, salusin-Ī², SFRP-4, and YKL-40 were significantly higher in the CAD group relative to the NCAD group (all Pā<ā0.05), whereas levels of anti-inflammatory adipokines, including ADP, CTRP9, salusin-Ī±, and Metrnl, were lower in the CAD group relative to the NCAD group (all Pā<ā0.05) (Fig.Ā 1).
ROC curve analyses of serum inflammatory adipokines for CAD
The areas under the ROC curve (AUCs) for the proinflammatory adipokines TNF-Ī±, CTRP1, salusin-Ī², YKL-40, and SFRP-4 were 0.764 [95% confidence interval (CI): 0.617ā0.911; Pā=ā0.006), 0.785 (95% CI: 0.643ā0.927; Pā=ā0.003), 0.685 (95% CI: 0.508ā0.862; Pā=ā0.048), 0.759 (95% CI: 0.603ā0.916; Pā=ā0.008), and 0.832 (95% CI: 0.699ā0.965; Pā<ā0.001), respectively, with the optimal diagnostic cut-off points at 99.03Ā ng/L, 49.06Ā ng/L, 7.72Ā ng/L, 47.71Ā ng/L, and 35.75Ā ng/L, respectively. The AUCs for the anti-inflammatory adipokines ADP, CTRP9, salusin-Ī±, and Metrnl were 0.731 (95% CI: 0.569ā0.894; Pā=ā0.014), 0.708 (95% CI: 0.545ā0.872; Pā=ā0.023), 0.672 (95% CI: 0.492ā0.851; Pā=ā0.065), and 0.776 (95% CI: 0.629ā0.923; Pā=ā0.004), respectively, with the optimal diagnostic cut-off points at 417.4Ā ng/L, 18.89Ā ng/L, 71.76Ā ng/L, and 152Ā ng/L, respectively (TableĀ 3).
Correlations among serum inflammatory adipokines
The proinflammatory adipokines CTRP1, salusin-Ī², YKL-40, and SFRP-4 were positively correlated with classic proinflammatory adipokines TNF-Ī± (rā=ā0.357, 0.332, 0.383, and 0.473, respectively). CTRP1 and salusin-Ī² were positively correlated with SFRP-4 (rā=ā0.509 and 0.334, respectively), and YKL-40 was positively correlated with CTRP1, salusin-Ī², and SFRP-4 (rā=ā0.710, 0.494, and 0.573, respectively). SFRP-4 was negatively correlated with ADP (rā=āāāā0.358). The anti-inflammatory adipokine Metrnl was positively correlated with CTRP9, salusin-Ī±, and ADP (rā=ā0.377, 0.348, and 0.406, respectively) (TableĀ 4).
Inflammatory adipokine expression in adipose tissues
FigureĀ 2 shows that CTRP1 and YKL-40 levels in EAT and PAT were significantly elevated in the CAD group relative to the NCAD group (Pā<ā0.05), whereas CTRP9 levels in EAT and PAT was significantly reduced in the CAD group relative to the NCAD group (Pā<ā0.05). However, CTRP1, YKL-40, and CTRP9 levels in SAT were not statistically different between the CAD and NCAD groups (all Pā>ā0.05) (Fig.Ā 2). Evaluation of differences in CTRP1, YKL-40, and CTRP9 levels among EAT, PAT, and SAT revealed that only YKL-40 level differed among the three adipose tissues, with that in PAT lower than that in EAT and SAT (all Pā<ā0.05) (Fig.Ā 2).
Adipokine mRNA levels in adipose tissues
mRNA levels of the proinflammatory adipokines CTRP1, YKL-40, and SFRP-4 were significantly higher in the CAD group relative to the NCAD group in EAT and PAT (all Pā<ā0.05), although the difference was not statistically significant between the two groups in SAT (all Pā>ā0.05). In EAT, mRNA levels of the anti-inflammatory adipokines CTRP9 and Metrnl were significantly decreased in the CAD group relative to the NCAD group (both Pā>ā0.05). In PAT, CTRP9 mRNA level was significantly lower in the CAD group relative to the NCAD group (Pā<ā0.05), and Metrnl mRNA level was not statistically different between the two groups (Pā>ā0.05). Additionally, differences in CTRP9 and Metrnl mRNA levels were not statistically significant in SAT between the two groups (both Pā>ā0.05). Moreover, mRNA levels of VEGF-C, VEGF-D, and VEGFR-3 were significantly higher in the CAD group relative to the NCAD group in EAT (all Pā<ā0.05), and VEGF-C and VEGFR-3 levels were significantly higher in the CAD group relative to the NCAD group in PAT (both Pā<ā0.05). Furthermore, mRNA levels of VEGF-C, VEGF-D, and VEGFR-3 in SAT were not statistically different between the two groups (all Pā>ā0.05) (Fig.Ā 3).
Correlations among cytoadipokine mRNA levels in EAT and PAT
Correlations among adipocyte mRNA levels in EAT are shown in TableĀ 5. CTRP1, SFRP-4, and YKL-40 levels were positively correlated with VEGF-C, VEGF-D, and VEGFR-3 levels; CTRP9 level was positively correlated with VEGF-C and VEGF-D levels; and Metrnl level was positively correlated with VEGFR-3 level (all Pā<ā0.05). Additionally, CTRP1 level was positively correlated with SFRP-4, YKL-40 and Metrnl level; SFRP-4 level was positively correlated with YKL-40 level; and CTRP9 level was positively correlated with Metrnl level (all Pā<ā0.05). As are shown in TableĀ 6, CTRP1 level was positively correlated with SFRP-4, VEGF-D, and VEGFR-3 levels; and SFRP-4 level was positively correlated with YKL-40 and VEGFR-3 levels (all Pā<ā0.05).
Histology
The mean adipocyte areas of EAT, PAT, and SAT in CAD patients were 3241.9 Ī¼m2, 4180.7 Ī¼m2, 5545.9 Ī¼m2, respectively, whereas those in NCAD patients were 3046.5 Ī¼m2, 4115.2 Ī¼m2, and 4813.7 Ī¼m2, respectively. Adipocyte morphology in the three tissues differed, with the adipocyte area of EAT significantly smaller than that of PAT and SAT (both Pā<ā0.05), whereas there was no statistical difference in the adipocyte areas of PAT and SAT in NCAD patients (Pā>ā0.05) (Fig.Ā 4).
Macrophage infiltration in adipose tissues
Macrophage infiltration determined by CD68 immunostaining showed significantly greater in EAT and SAT in the CAD group relative to the NCAD group (all Pā<ā0.05); however, PAT macrophage infiltration was not statistically different between the CAD and NCAD groups (Pā>ā0.05). We then determined differences in the M1 and M2 macrophage phenotypes by immunohistochemical staining for CD11c and CD206, respectively. We found that the number of CD11c+āmacrophages was significantly increased and that of CD206+āmacrophages significantly decreased in EAT from CAD patients relative to NCAD patients (both Pā<ā0.05). In SAT, there was no statistical difference between CD11c+āand CD206+āmacrophages between the CAD and NCAD groups (both Pā>ā0.05). Additionally, calculation of the CD11c+/CD206+āratio, which reflects macrophages shift into an inflammatory state, revealed that CD11c+/CD206+āmacrophage ratio was significantly increased only in EAT in CAD patients when compared with NCAD patients (Pā<ā0.05) (Fig.Ā 5).
Expression of the lymphatic markers PDPN and LYVE-1 in adipose tissues
PDPN and LYVE-1 levels in EAT were significantly higher in the CAD group relative to the NCAD group (both Pā<ā0.05), whereas their levels in PAT and SAT were not statistically different between the two groups (both Pā>ā0.05). Additionally, PDPN level in CAD patients differed among the three tissue types, with levels in SAT lower than those in EAT and SAT (all Pā<ā0.05); however, there were no significant differences in LYVE-1 levels in CAD patients among the three tissue types (Pā>ā0.05) (Fig.Ā 6).
Expression of the vascular markers CD31 and CD34 in adipose tissues
The numbers of CD31+āand CD34+ācells in EAT were significantly higher in the CAD group than in the NCAD group (both Pā<ā0.05), although no statistical difference in PAT was observed between groups (both Pā>ā0.05). In SAT, the number of CD34+ācells was higher in CAD patients relative to NCAD patients (Pā<ā0.05), whereas the number CD31+ācells did not differ significantly between the CAD and NCAD groups (Pā>ā0.05). The numbers of CD31+āand CD34+ācells in CAD patients differed among the three tissue types, with those in PAT significantly lower relative to EAT and SAT (all Pā<ā0.05), although no significant difference was observed between SAT and PAT (Pā>ā0.05) (Fig.Ā 7).
The numbers of blood vessels in EAT, PAT, and SAT from CAD patients were 4.5, 3.3, and 2.7, respectively, whereas those from NCAD patients were 3.25, 2.0, and 2.5, respectively. The numbers of blood vessels in the three tissue types from CAD patients differed significantly (Pā<ā0.05), whereas those from NCAD patients did not differ significantly (Pā>ā0.05). The number of blood vessels in EAT from CAD patients was the largest (Fig.Ā 7).
Discussion
Based on findings from previous animal studies18, the present study investigated the relationship between neovascularization, lymphangiogenesis, and inflammatory adipocytokine levels in EAT, PAT, and SAT from human subjects. The proinflammatory adipokines CTRP1, salusin-Ī², YKL-40, and SFRP-4 and the anti-inflammatory adipokines CTRP9, salusin-Ī±, and Metrnl are newly discovered inflammatory adipokines that may correlate with CAD19,20,21. The present study is the first to investigate the expression of these adipokines in adipose tissues and compare differences in their expression between EAT, PAT, and SAT. In CAD patients, mRNA and protein levels of proinflammatory adipokines were elevated in both EAT and PAT, whereas levels of anti-inflammatory adipokines were reduced relative to those in NCAD patients. However, there were no significant differences in gene and protein expression of pro- factors and anti-inflammatory factors in SAT from CAD and NCAD patients. Previous studies found that secretion of proinflammatory adipokines increased and anti-inflammatory adipokines decreased in the EAT of rodents, resulting in upregulated development of atherosclerosis18,22; however, there have been few studies on EAT and PAT from CAD patients. Furthermore, the roles of CTRP1, YKL-40, SFRP-4, CTRP9, and Metrnl secreted by EAT and PAT in CAD remain unclear, and research on this topic is still in the exploratory stage. The current evidence shows that levels of secreted CTRP1, YKL-40, and SFRP-4 from EAT or PAT are elevated in CAD patients, whereas those of CTRP9 and Metrnl are lower relative to NCAD patients. Variations in these molecular signatures might related to atherosclerosis.
Atherosclerosis is an imbalanced chronic inflammatory reaction in the arterial wall caused by certain stimuli and that produces a wide range of inflammatory molecules, which diffuse into the blood circulation and provide information regarding the existence and status of disease during its development23. In the present study, we found that serum levels of proinflammatory adipokines (TNF-Ī±, CTRP1, salusin-Ī², YKL-40, and SFRP-4) were elevated in CAD patients, whereas those of anti-inflammatory adipokines (ADP, CTRP9, salusin-Ī±, and Metrnl) were lower relative to those in NCAD patients. Intimal atherosclerosis stimulates the secretion of proinflammatory adipokines and inhibits the release of anti-inflammatory adipokines, thereby affecting cardiac metabolism and inflammation and exerting crucial proinflammatory and pro-atherogenic effects in vivo24. Therefore, CTRP1, salusin-Ī², YKL-40, SFRP-4, CTRP9, salusin-Ī±, and Metrnl may play important roles in CAD.
Previous studies show that adipocytokines affect each other, with proinflammatory adipokines promoting the secretion of other types of proinflammatory adipokines and inhibiting anti-inflammatory adipokine expression25. Atherosclerosis entails a complex interaction of risk factors, some of which stimulate inflammation and promote the secretion of inflammatory adipokines26. In the present study, we found that mRNA and protein levels of proinflammatory factors positively correlated with other levels of proinflammatory factors, with the same correlations observed for anti-inflammatory factors. Previous studies demonstrated that inflammatory adipocytokines can be used as biomarkers of atherosclerosis3,27. In the present study, we showed that serum levels of CTRP1, salusin-Ī², YKL-40, SFRP-4, CTRP9, salusin-Ī±, and Metrnl might represent CAD biomarkers according to ROC analysis.
Additionally, we found that CD68+āM1 macrophages and the CD11c+/CD206+āratio were significantly elevated in EAT from CAD patients relative to NCAD patients, whereas the number of M2 macrophages was significantly reduced. Macrophages are immunocompetent cells that response to local inflammation, and adipose tissue exhibiting chronic inflammation in CAD patients harbors abundant amounts of macrophages28. Activated M1 and M2 macrophages perform different functions by secreting either proinflammatory or anti-inflammatory factors29. Moreover, M1 macrophages exert strong microbicidal activities capable of inhibiting the proliferation of surrounding cells and damaging adjacent tissue, whereas M2 macrophages play an anti-inflammatory role by removing debris and promoting the proliferation of adjacent cells and tissue repair. The M1/M2 macrophage ratio reflects a shift in the state of local inflammation30. In the present study, the results showed macrophages in EAT from CAD patients were predominantly of the M1 phenotype associated with CAD.
Furthermore, we found that the number of blood vessels increased in EAT from CAD patients along with a significantly higher populations of CD31+āand CD34+ācells in EAT relative to those observed in NCAD patients. CD31 and CD34 are markers of angiogenesis, with CD31 a signaling-related glycoprotein abundant on vascular endothelial cells31 and CD34 a transmembrane phosphoglycoprotein on the surface of vascular endothelial progenitor cells, hematopoietic stem cells, and hematopoietic progenitor cells32. Inflammation is an important trigger of angiogenesis in ischemic tissues and can promote the secretion of pro-angiogenic factors and the proliferation of endothelial cells, with this also pro-angiogenic effect also accelerated by some inflammatory cytokines10. In the CAD group, we observed increased neovascularization which may be a useful pathological founding.LYVE-1 is the main receptor of hyaluronic acid in the endothelium of lymphatic vessels33, and PDPN is expressed in lymphatic endothelial cells and fibroblastic reticular cells in lymph nodes and capable of promoting lymphangiogenesis and lymphatic invasion33,34. In the present study, we found significantly elevated PDPN and LYVE-1 levels in EAT from CAD patients relative to NCAD patients. Inflammation is aggravated and lymphatic drainage is insufficient in atherosclerotic lesions, with various stimuli promoting the generation of lymphatic vessels35, which often occurs in parallel to angiogenesis. Ioannis et al.36 demonstrated increased lymphangiogenesis in adipose tissue around atherosclerotic plaques and accompanied by higher expression of lymphangiogenesis regulators. VEGF-C, VEGF-D, and VEGFR-3 regulate vacsular growth in endothelial tissue and promote the proliferation and migration of vascular endothelial cells, thereby playing an important role in lymphangiogenesis and angiogenesis37. In the present study, mRNA levels of VEGF-C, VEGF-D, and VEGFR-3 were higher in EAT, and VEGF-C and VEGFR-3 levels were higher in PAT from CAD patients relative to NCAD patients, with correlations also observed between VEGF-C, VEGF-D, and VEGFR-3 levels and the number of inflammatory adipocytes. These results suggest that neovascularization and lymphangiogenesis in EAT and the number of inflammatory adipokines related to CAD.
We observed differences in mRNA levels of CTRP9, Metrnl, VEGF-C, VEGF-D, and VEGFR-3, protein expression of YKL-40, and levels of CD31, CD34, PDPN, CD206 and the CD11c+/CD206+āratio among the three adipose tissues. EAT and PAT constitute a unique paracrine visceral fat reservoir with unique anatomical, biomolecular, and genetic characteristics that regulates the production and metabolism of the adjacent myocardium14,38. However, the embryology and blood supply of EAT and PAT differ, which were observed in their metabolic and physiologic properties39. In the present study, the adipocyte areas were found significantly smaller in EAT relative to PAT and SAT in CAD patients and NCAD patients. Although EAT, PAT, and SAT constitute white adipose tissues, in addition to the different anatomical positions of the three tissues, their different effects on CAD are mainly due to their different physiological characteristics. EAT and PAT are visceral fat that provide energy to and protect the heart. Additionally, they secrete active substances under pathological conditions and become cardiotoxic, resulting in local inflammation and cardiac dysfunction.
Limitation
First, the sample size was relatively small in our study, although we have searched Medline on the sample size of the former study to find some information of the sample size for the present design. Additionally, we have calculated the sample size and statistical power of all the factors in our study after some pre-study. Second, in our study, the blood and fat deposits tissues samples were collected during the hospitalization before the secondary prevention stragedy for CAD therapeutic treatment use. Therefore, we did not consider the impact of therapeutic treatment between CAD and the control groups. Third, the above defects of the study design can only lead to a relatively conservative conclusion, and we will try our best to go deep into some further researches on the topic.
Conclusions
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.
Data availability
All raw data will be made available on reasonable request. Requests should be directed to the corresponding author (lixiansun@126.com). Requestors will be required to sign a data access agreement to ensure the appropriate use of the study data.
Abbreviations
- CAD:
-
Coronary artery disease
- EAT:
-
Epicardial adipose tissue
- PAT:
-
Pericardial adipose tissue
- SAT:
-
Subcutaneous adipose tissue
- NCAD:
-
Non-coronary artery disease
- CTRP1:
-
Complement-Clq TNF-related protein 1
- YKL-40:
-
Chitinase-3-like protein 1
- SFRP4:
-
Secreted frizzled-related protein 4
- ADP:
-
Adiponectin
- CTRP9:
-
Complement-Clq TNF-related protein 9
- Metrnl:
-
Meteorin-like
- VEGF:
-
Vascular endothelial growth factor
- VEGFR-3:
-
Vascular endothelial growth factor receptor 3
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Acknowledgements
We are very grateful to Long Chen at the department of pathology of Chegnde Medical University for providing the pathological technical assistance.
Funding
This study was supported by grants from Natural Science Foundation of Hebei Province (H2021406071) and Technology Innovation Guidance Project-Science and Technology Work Conference from Hebei Provincial Department of Science and Technology (202011) to Dr. Lixian Sun.
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Y.S., L.S., W.S. and Y.Z. designed the study. Y.S., F.S, Y.Z, and Z.F. performed acquisition of sample and data. Y.S., Y.L., W.F, F.S., E.X. and L.S. analyzed and interpreted the data. Y.S. drafted the manuscript. L.S. made critical revision to the manuscript. All the authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation. All authors read and approved the final manuscript.
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Si, Y., Feng, Z., Liu, Y. et al. Inflammatory biomarkers, angiogenesis and lymphangiogenesis in epicardial adipose tissue correlate with coronary artery disease. Sci Rep 13, 2831 (2023). https://doi.org/10.1038/s41598-023-30035-x
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DOI: https://doi.org/10.1038/s41598-023-30035-x
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