Literature DB >> 28630603

Elevated IL-37 levels in the plasma of patients with severe coronary artery calcification.

Meng Chai1, Hai-Tao Zhang2, Yu-Jie Zhou1, Qing-Wei Ji1, Qing Yang1, Yu-Yang Liu1, Ying-Xin Zhao1, Dong-Mei Shi1, Wei Liu1, Li-Xia Yang1, Lin-Lin Zhang1, Jing Liang1.   

Abstract

BACKGROUND: Coronary artery calcification (CAC) is a predictor of cardiovascular events and plaque burden and is closely associated with chronic inflammation. Interleukin (IL)-37 is a newly discovered member of the IL-1 family and is considered an anti-inflammatory cytokine. Our recent study on mice indicated that IL-37 could attenuate atherosclerosis and vascular calcification, which suggests that IL-37 could be associated with the development of atherosclerosis and related diseases. The aim of this study was to investigate if IL-37 plays a role in the progression of CAC in patients.
METHODS: Two hundred participants with suspected cardiovascular disease were recruited. The levels of plasma IL-37, osteoprotegerin (OPG), hypersensitive C-reactive protein (hsCRP) together with other biochemical parameters were measured, and a coronary calcium assessment was carried out by multi-detector row CT. A score of < 10 AU (Agatston units) denotes an absence of CAC, a score of 11-100 AU denotes mild CAC, 101-400 denotes moderate CAC, and > 400 AU denotes severe CAC.
RESULTS: Our initial data showed that there were no apparent differences in plasma IL-37 levels among patients with or without mild or moderate CAC. However, IL-37 levels were significantly increased in patients with severe CAC (P < 0.001). Similar results were observed for plasma OPG and hsCRP levels. When IL-37 levels in patients with severe calcification were compared with that in all of the other non-severe CAC groups, it became apparent that there was a significant positive correlation between IL-37 level and severe CAC (r = 0.360, P < 0.001; OR = 1.033) using Spearman's correlation and binary logistic regression analysis.
CONCLUSIONS: This study demonstrates that the anti-inflammatory cytokine IL-37 is associated with high coronary calcium levels, suggesting that IL-37 expression may be caused by the activation of inflammation and that IL-37 might become a predictor of severe CAC in the future, which requires further investigation.

Entities:  

Keywords:  Coronary artery calcification; High-sensitivity C-reactive protein; Interleukin-37; Osteoprotegerin

Year:  2017        PMID: 28630603      PMCID: PMC5466930          DOI: 10.11909/j.issn.1671-5411.2017.05.013

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


Introduction

Coronary artery calcification (CAC) is a pathological deposition of minerals that can occur with either atherosclerosis or arteriosclerosis and has been used as a predictor of cardiovascular events and plaque burden.[1] From a clinical point of view, the amount of CAC is associated with the total atherosclerotic plaque burden and therefore can serve as a measure of subclinical atherosclerosis.[2] Furthermore, CAC scores also reflect the long-term impact of elevated cardiovascular disease (CVD) risk factors and can be used to predict the future risk of CVD events.[3] For several decades, vascular calcification has been a known consequence of ageing. Recent studies have confirmed that vascular calcification is an actively regulated process and shares many features with bone development and metabolism;[4] the process is also closely related with chronic inflammation.[5] Macrophages, lymphocytes, and dendritic cells infiltrate the plaque and release cytokines that regulate calcification.[6] Perivascular adipose,[7] and systemic inflammation[8] may also contribute to both neointimal and medial calcification. The newly discovered interleukin-1 (IL-1) family member IL-37 is an anti-inflammatory cytokine.[9],[10] Our study has recently shown that in animal models, IL-37 plays a protective role in the development of vascular calcification and atherosclerosis.[11] We have also demonstrated that the levels of IL-37 were substantially increased in patients with acute coronary syndrome (ACS).[12] The increase of IL-37 may be induced in an inflammatory context. Calcification typically follows the development of atherosclerotic lesions while inflammation is involved in the progression of arterial calcification; therefore, it is likely that inflammation-related cytokine IL-37 is involved in the progression of CAC. In the present study, we measured the levels of IL-37 in patients with suspected coronary artery disease (CAD) and compared their IL-37 levels with their CAC severity. Osteoprotegerin (OPG) is a well-known inhibitory factor of vascular calcification and we have, in the past, observed a positive correlation between IL-37 and OPG in an animal model.[11] Additionally, high-sensitivity C-reactive protein (hs-CRP) is known as a non-specific marker of inflammation. Therefore, we here additionally assessed and compared the plasma levels of OPG and hs-CRP in patients.

Methods

Study design

Two hundred consecutive patients with suspected CAD who have undergone coronary calcium assessment by multi-detector row CT were recruited from July 2013 to July 2015. Indications for the calcium scan included risk stratification purposes in individuals with an enhanced likelihood for future CAD events as based on traditional risk factors or individuals with atypical chest pain. We excluded participants who had any of the following conditions: (1) older than 80 years of age; (2) a history of percutaneous coronary intervention and/or coronary artery bypass grafting; (3) a history of atrial fibrillation; and (4) had ACS within the last three months. After providing written informed consent, the patients were asked to complete a brief questionnaire. Atherogenic risk factors of the patients were assessed, and the criteria for diabetes, hypertension and hyperlipidaemia were based on a physician's diagnosis. The study was approved by the institutional ethics committee for human subjects.

Blood sample test

Fasting blood samples were collected in the morning immediately before performing the CT scan and were stored at 4°C for less than 4 h before processing. The samples were collected into sodium heparin Vacutainers (Becton-Dickinson). Blood was centrifuged for 15 min at 2000 × g, and the serum was stored at −80 °C until the assays were performed. The levels of total cholesterol, high- and low-density lipoprotein, cholesterol, total triglycerides, creatinine, uric acid, alkaline phosphatase, phosphorous, calcium, and fasting blood-glucose at baseline were measured in the central laboratory of Beijing Anzhen Hospital.

Detection of IL-37, OPG and CRP levels by ELISA

The concentrations of plasma IL-37, OPG, and hs-CRP were measured by an enzyme-linked immunosorbent assay (ELISA) according to instructions provided by the manufacturers (IL-37: Adipogen AG, Liestal, Switzerland; OPG: MBL, Nagoya, Japan; and hs-CRP: Siemens Healthcare, Tarrytown, New York). All samples were measured in duplicate.

CAC assessment

All patients were in normal sinus rhythm and were capable of a breath hold that was sufficient for computed tomographic angiography (CTA). Coronary calcium lesions were measured, and the total Agatston score (CAC score) was determined by summing the individual lesion scores from each of the four main coronary arteries (left main, left anterior descending, circumflex and right).[13] We used the classification system proposed by Rumberger, et al.[14] We initially classified the participants into four groups according to CAC scores: a score < 10 (Agatston unit, AU) denotes an absence of CAC, a score of 11–100 AU denotes mild CAC, a score of 101–400 denotes moderate CAC, and a score of > 400 AU denotes severe CAC. For further analysis, the study cohort was divided into two groups based on calcium scores: the severe (> 400 AU) and non-severe (< 400 AU) CAC patient groups.

Statistical analysis

All data were presented as mean ± SD. When comparing only two groups, Student's t-test was used. For comparisons involving three or more groups, one-way ANOVA followed by Neuman-Keuls post hoc test was used. Pearson Chi-Square test (exact Fisher's test) was used for the comparison of proportions. Spearman's correlation and binary logistic regression analysis were used to calculate the correlations between the plasma biomarker levels, other measured parameters and the level of CAC. In all tests, a value of P < 0.05 was considered to be statistically significant. The SPSS statistical software (version 17.01) was used for all calculations.

Results

Baseline characteristics of the study participants

Two hundred patients were enrolled in this study, and based on the severity of their CAC as determined by the Agatston scores, we divided the participants into four groups with fifty in each group, as described in the Methods section. Table 1 shows the blood sample characteristics of participants in the four groups. We found that patients with higher CAC scores were more likely to be elderly. Within the atherogenic risk factors, diabetes and hypertension were related to higher CAC score, while other factors such as hyperlipidaemia, smoking, family history of cardiovascular disease were not. We also found that participants who had a greater number of atherogenic risk factors were more likely to have higher CAC scores than those who had a lower number of risk factors (Table 1).
Table 1.

Clinical characteristics of participants.

VariablesCAC, AU
P
< 10 (n = 50)11 to 100 (n = 50)101 to 400 (n = 50)> 400 (n = 50)
Age, yrs57.52 ± 8.3760.96 ± 8.7662.56 ± 9.2063.04 ± 10.540.0141
Male sex, %526864760.086
BMI, kg/m225.45 ± 3.5326.08 ± 3.1425.60 ± 3.0625.53 ± 3.590.790
Atherogenic risk factors
 Diabetes, %143239380.0232
 Hypertension, %425668660.0343
 Hyperlipidaemia, %425046560.543
*Smoking, %284042460.286
Family history162024200.801
*Number of risk factors1.421.982.222.28< 0.0014
Biochemical variables
 TC, mmol/L4.44 ± 1.044.71 ± 0.964.61 ± 1.044.64 ± 0.990.584
 HDL-C, mmol/L1.16 ± 0.291.04 ± 0.281.00 ± 0.191.05 ± 0.240.014
 LDL-C, mmol/L2.74 ± 0.793.11 ± 0.783.06 ± 0.992.98 ± 0.980.157
 TG, mmol/L1.75 ± 1.241.71 ± 1.101.88 ± 1.061.84 ± 1.240.875
 Creatinine, mmol/L68.5 ± 14.175.4 ± 19.277.2 ± 16.478.4 ± 19.60.23
 UA, mmol/L325.9 ± 83.7335.8 ± 94.0355.7 ± 68.1329.48 ± 93.60.309
 ALP, mmol/L80.1 ± 21.882.9 ± 20.379.3 ± 19.084.8 ± 22.30.532
 Phosphorous, mmol/L1.24 ± 0.171.24 ± 0.211.18 ± 0.241.17 ± 0.200.126
 Calcium, mmol/L2.33 ± 0.122.31 ± 0.102.32 ± 0.132.29 ± 0.090.249
 FBG, mmol/L5.52 ± 1.246.46 ± 1.986.24 ± 1.996.72 ± 2.420.018

Data are expressed as the mean ± SD or %. *Including current and former smoking. 1Patients with higher CAC score were more likely to be elderly (P < 0.05); 2Diabetes and 3hypertension were associated with higher CAC scores (P < 0.05); 4A greater number of atherogenic risk factors correlated with higher CAC scores (P < 0.05). Higher FBG was associated with a higher CAC score (P < 0.05). AU: Agatston unit; ALP: alkaline phosphatase; CAC: coronary artery calcification; FBG: fasting blood glucose; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; TC: total cholesterol; TG: total triglycerides; UA: uric acid.

Data are expressed as the mean ± SD or %. *Including current and former smoking. 1Patients with higher CAC score were more likely to be elderly (P < 0.05); 2Diabetes and 3hypertension were associated with higher CAC scores (P < 0.05); 4A greater number of atherogenic risk factors correlated with higher CAC scores (P < 0.05). Higher FBG was associated with a higher CAC score (P < 0.05). AU: Agatston unit; ALP: alkaline phosphatase; CAC: coronary artery calcification; FBG: fasting blood glucose; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; TC: total cholesterol; TG: total triglycerides; UA: uric acid. Moreover, participants with higher CAC scores tended to have higher fasting blood-glucose but lower high-density lipoprotein cholesterol levels (Table 1). However, there were no significant differences in gender (P = 0.086), body mass index and levels of other general serum biochemical parameters, including total cholesterol, low-density lipoprotein cholesterol, total triglycerides, creatinine, uric acid, alkaline phosphatase, phosphorous and calcium, among these four groups.

Plasma levels of IL-37, OPG and hs-CRP

As shown in Table 2 and Figure 1A, our data showed that there were no apparent differences in plasma IL-37 levels among patients in the first three groups (without CAC and with mild and moderate CAC). However, plasma IL-37 levels were significantly increased in patients with severe CAC (CAC scores > 400 AU, P < 0.001, Figure 1A). Interestingly, similar results were obtained for plasma OPG and hs-CRP (Table 2, and Figure 1B and 1C, respectively); OPG and hs-CRP levels were increased only in patients with severe CAC, and there were no apparent differences in OPG and hs-CRP levels among patients with or without mild or moderate CAC.
Table 2.

Plasma IL-37, OPG and hs-CRP stratified by groups of patients with four levels of CAC and traditional risk factors.

nIL-37OPGhs-CRP
CAC, AU
 < 105063.65 ± 21.45*5.44 ± 1.18*1.22 ± 0.90*
 11–1005069.18 ± 28.46*5.99 ± 1.45*1.37 ± 0.95*
 101–4005070.31 ± 27.40*6.09 ± 1.54*1.46 ± 1.25*
 > 4005089.67 ± 23.84*7.27 ± 1.72*1.92 ± 1.44*
Male13075.34 ± 27.646.39 ± 1.711.49 ± 1.21
Female7069.23 ± 25.805.86 ± 1.371.50 ± 1.11
Diabetes6275.68 ± 25.966.36 ± 1.711.52 ± 1.05
Non-diabetes13872.09 ± 27.636.13 ± 1.581.48 ± 1.23
Hypertension11674.79 ± 26.516.28 ± 1.671.62 ± 1.23
Normotension8471.02 ± 27.916.08 ± 1.551.32 ± 1.08
Smoking7974.81 ± 27.406.36 ± 1.731.51 ± 1.15
Non-smoking12172.16 ± 26.986.09 ± 1.541.48 ± 1.20

Data are presented as mean ± SD. *P < 0.05 among the four groups. There were no apparent differences in IL-37, OPG and hs-CRP levels among patients in the first three groups (without CAC, and with mild and moderate CAC). The main difference was between severe CAC and the other groups. AU: Agatston unit; CAC: coronary artery calcification; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

Figure 1.

One-way ANOVA analysis of IL-37, OPG and hs-CRP levels according to CAC scores.

A score < 10: absence of CAC; 11–100 AU: mild CAC; 101–400 AU: moderate CAC; and > 400 AU: severe CAC. There were no apparent differences in IL-37, OPG and hs-CRP levels among patients in the first three groups (without CAC, with mild and moderate CAC). The main difference was between severe CAC and the other groups. AU: Agatston unit; CAC: coronary artery calcification; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

Data are presented as mean ± SD. *P < 0.05 among the four groups. There were no apparent differences in IL-37, OPG and hs-CRP levels among patients in the first three groups (without CAC, and with mild and moderate CAC). The main difference was between severe CAC and the other groups. AU: Agatston unit; CAC: coronary artery calcification; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

One-way ANOVA analysis of IL-37, OPG and hs-CRP levels according to CAC scores.

A score < 10: absence of CAC; 11–100 AU: mild CAC; 101–400 AU: moderate CAC; and > 400 AU: severe CAC. There were no apparent differences in IL-37, OPG and hs-CRP levels among patients in the first three groups (without CAC, with mild and moderate CAC). The main difference was between severe CAC and the other groups. AU: Agatston unit; CAC: coronary artery calcification; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin. Based on these results, for the purpose of further statistical analysis, participants were regrouped into two categories: the severe calcification (CAC scores > 400 AU, n = 50) and non-severe calcification (CAC scores ≤ 400 AU, n = 150) groups. Based on the new grouping, Spearman's correlation and binary logistic regression analysis were carried out and revealed a significant positive correlation between IL–37 and severe CAC (r = 0.360, P < 0.001, OR = 1.033, Table 3). Moreover, we found a significant positive correlation between OPG and severe CAC (r = 0.355, P < 0.001, OR = 1.805, Table 3) as well. A similar relationship was observed between hs-CRP and severe CAC (r = 0.168, P < 0.001, OR = 1.465, Table 3). In addition, we also found that the number of risk factors was positively correlated with severe CAC (r = 0.141, P < 0.001, Table 3). However, there were no significant differences in the plasma levels of IL-37, OPG and hs-CRP when considering gender or the risk factors for diabetes, hypertension, and smoking (Table 2).
Table 3.

Analysis of distinct biomarkers, traditional risk factors and severe CAC levels.

VariablesSpearman's correlation coefficient (r)Binary logistic regression analysis, OR (95% CI)
Age0.133
Male sex0.133
Diabetes0.087
Hypertension0.094
Number of risk factors0.141*
HDL, mmol/L−0.017
FBG, mmol/L0.094
IL-370.360*1.033 (1.019−1.047)
OPG0.355*1.805 (1.432−2.276)
hs-CRP0.168*1.465 (1.128−1.902)

*P < 0.05. There is a significant positive correlation between the number of risk factors and severe CAC (P < 0.001); between IL–37 and severe CAC (P < 0.001); between OPG and severe CAC (P < 0.001); and between hs-CRP and severe CAC (P < 0.001). CAC: coronary artery calcification; FBG: fasting blood glucose; HDL: high-density lipoprotein; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

*P < 0.05. There is a significant positive correlation between the number of risk factors and severe CAC (P < 0.001); between IL–37 and severe CAC (P < 0.001); between OPG and severe CAC (P < 0.001); and between hs-CRP and severe CAC (P < 0.001). CAC: coronary artery calcification; FBG: fasting blood glucose; HDL: high-density lipoprotein; hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

Associations among IL-37, OPG and hs-CRP

We used the Spearman's linear correlation coefficient to determine the relationship among the levels of these three plasma biomarkers. A positive correlation between IL-37 and OPG was determined (r = 0.401, P < 0.001, Figure 2A). The result further confirmed that the effect of IL-37 is closely related with the increase of OPG, which was observed in our recent animal study.[18] There was also a positive relationship between IL-37 and hs-CRP (r = 0.319, P < 0.001, Figure 2B) and between OPG and hs-CRP (r = 0.335, P < 0.001, Figure 2C) in the participating patients.
Figure 2.

Correlation analysis plot.

(A): IL-37 and OPG; (B): IL-37 and hs-CRP; and (C) OPG and hs-CRP. There was a positive relationship between IL-37 and OPG (r = 0.401, P < 0.001), between IL-37 and hs-CRP (r = 0.319, P < 0.001), and between OPG and hs-CRP (r = 0.335, P < 0.001). hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

Correlation analysis plot.

(A): IL-37 and OPG; (B): IL-37 and hs-CRP; and (C) OPG and hs-CRP. There was a positive relationship between IL-37 and OPG (r = 0.401, P < 0.001), between IL-37 and hs-CRP (r = 0.319, P < 0.001), and between OPG and hs-CRP (r = 0.335, P < 0.001). hs-CRP: high-sensitivity C-reactive protein; IL: interleukin; OPG: osteoprotegerin.

Discussion

This is the first study to assess the relationship between the plasma IL-37 level in patients and the degree of CAC. In our study, no apparent difference in IL-37 levels was found in plasma among patients in the first three groups (with or without mild or moderate CAC). A significant increase in IL-37 level was observed only in the severe CAC group. For statistical analysis, the patients were regrouped, and a significant positive correlation between IL-37 and severe CAC was revealed. We also showed that the levels of plasma OPG and hs-CRP were increased in patients with severe CAC, and both were positively correlated with the level of IL-37. Although the sample size was relatively small and the implications are not yet clear, these interesting results may suggest that the elevated IL-37 expression could be the outcome of the activation of inflammation and may be related to the increase of OPG as shown in our recent animal study.[11] Our study used CAC scores to assess the calcium content in the coronary arteries. Some studies have verified that CAC scores can be used to predict cardiac events.[15] We can speculate that the levels of plasma IL-37 might be associated with the risk of cardiac events. IL-37 is present in several organs and tissues, including the heart, brain, kidney, bone marrow and testis. Evidence has shown that IL-37 plays a protective role in inflammatory and autoimmune diseases in animal models via the suppression of pro-inflammatory cytokine generation and the activation of macrophage and dendritic cells.[10] Recently, Boraschi, et al.,[9] found that IL-37 was expressed in the foam-like cells of the atherosclerotic coronary and carotid artery plaques, suggesting that IL-37 is related to the process of atherosclerosis.[16] Recently, our study has shown that IL-37 can attenuate not only atherosclerosis but also vascular calcification in mice.[11] Although all of these studies point to the involvement of IL-37 in human atherosclerotic disease, the understanding of IL-37 in the disease process is rather limited. IL-37 is expressed at low levels in peripheral blood mononuclear cells (PBMCs) and dendritic cells (DCs) and is up-regulated in an inducible manner. After treatment with phorbol myristoyl acetate, the mRNA expression of IL-37 was increased 2-fold in PBMCs and 4.5-fold in DCs.[17] In addition, IL-37 is induced mainly in an inflammatory context. IL-1β, IL-18, TNF-α, IFN-γ, and TGF-β can increase IL-37 synthesis.[18] Recently, we have demonstrated that the levels of the anti-inflammatory cytokine IL-37 were dramatically increased in ACS patients,[12] which may be due to an excessive inflammatory response. In the present study, we found that the level of IL-37 was positively correlated with high CAC levels, suggesting that IL-37 expression may be caused by the activation of inflammation. We also found that the levels of IL-37 were positively correlated with OPG and hs-CRP. Therefore, we concluded that IL-37 is expressed in low levels in healthy persons but may be regulated by inflammatory stimuli and cytokines such as OPG and hs-CRP. OPG is a soluble member of the TNF receptor superfamily.[19],[20] Elevated serum OPG levels have been shown to be independently associated with prevalent coronary plaques, aortic plaques, CAC and peripheral vascular disease,[21],[22] as well as the increased risk of cardiovascular events.[23],[24] Although a clear association between higher circulating OPG levels and vascular disease has been observed, whether this is the cause or the outcome remains to be defined. However, the evidence from animal models suggests that OPG may be protective against vascular calcification.[11],[25] It is therefore possible that the OPG elevation observed in humans with vascular disease may have occurred, in part, due to a local compensatory response to atherosclerosis. Our recent work demonstrated a significant increase of plasma OPG levels in IL-37 treated mice.[11] When an anti-OPG antibody was administered, the protective effect of IL-37 in mice with vascular calcification was significantly reduced. In the present study, the plasma OPG level was apparently increased in patients with severe CAC and was positively related with IL-37. These results suggest that OPG could become a predictor of the presence and severity of CAC. Moreover, the levels of circulating OPG may also affect IL-37 expression. We additionally assessed the hs-CRP levels in plasma and found that hs-CRP was increased in patients with high levels of CAC. CRP is associated with CHD, which was reported over 60 years ago.[26] The possible mechanistic role of CRP in plaque deposition is highly complex, exerting pro-atherogenic effects in many cells that are involved in atherosclerosis.[27] The Multi-Ethnic Study of Atherosclerosis showed a weak association of the three inflammatory biomarkers (CRP, IL-6, and fibrinogen) with CAC presence and burden,[28] which is in line with the present study. We found that hs-CRP, which is more sensitive than CRP, was positively correlated with plasma IL-37 levels, confirming the possible relationship between IL-37 expression and inflammatory stimuli. In conclusion, in the present study, we showed for the first time that the plasma level of IL-37 was increased in patients with high coronary calcium levels. This may be associated with the activation of inflammation and other relevant factors such as OPG or hs-CRP. Recent reports have indicated that IL-37 uses IL-1R8 for its anti-inflammatory properties,[29] and that IL-37 inhibits NF-kB activation while increasing the anti-inflammatory IL-10 level.[30] Although a clear association among the three cytokines (IL-37, OPG and hs-CRP) and CAC has been observed in the present study, the mechanism remains to be defined and requires further investigation. However, it is reasonable to hypothesize that IL-37 might become a predictor of severe calcification in future, which requires further investigation.
  29 in total

1.  Quantification of coronary artery calcium using ultrafast computed tomography.

Authors:  A S Agatston; W R Janowitz; F J Hildner; N R Zusmer; M Viamonte; R Detrano
Journal:  J Am Coll Cardiol       Date:  1990-03-15       Impact factor: 24.094

2.  Long-term prognostic value of coronary calcification detected by electron-beam computed tomography in patients undergoing coronary angiography.

Authors:  P C Keelan; L F Bielak; K Ashai; L S Jamjoum; A E Denktas; J A Rumberger; P F Sheedy II; P A Peyser; R S Schwartz
Journal:  Circulation       Date:  2001-07-24       Impact factor: 29.690

3.  The Protective Effect of Interleukin-37 on Vascular Calcification and Atherosclerosis in Apolipoprotein E-Deficient Mice with Diabetes.

Authors:  Meng Chai; Qingwei Ji; Haitao Zhang; Yujie Zhou; Qing Yang; Yangwei Zhou; Guangjin Guo; Wei Liu; Wei Han; Lixia Yang; Linlin Zhang; Jing Liang; Yuyang Liu; Dongmei Shi; Yingxin Zhao
Journal:  J Interferon Cytokine Res       Date:  2015-04-13       Impact factor: 2.607

4.  IL-1H, an interleukin 1-related protein that binds IL-18 receptor/IL-1Rrp.

Authors:  G Pan; P Risser; W Mao; D T Baldwin; A W Zhong; E Filvaroff; D Yansura; L Lewis; C Eigenbrot; W J Henzel; R Vandlen
Journal:  Cytokine       Date:  2001-01-07       Impact factor: 3.861

Review 5.  RANK ligand and osteoprotegerin: paracrine regulators of bone metabolism and vascular function.

Authors:  Michael Schoppet; Klaus T Preissner; Lorenz C Hofbauer
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-04-01       Impact factor: 8.311

Review 6.  Macrophage activation in atherosclerosis: pathogenesis and pharmacology of plaque rupture.

Authors:  J J Boyle
Journal:  Curr Vasc Pharmacol       Date:  2005-01       Impact factor: 2.719

7.  Extracellular forms of IL-37 inhibit innate inflammation in vitro and in vivo but require the IL-1 family decoy receptor IL-1R8.

Authors:  Suzhao Li; C Preston Neff; Kristina Barber; Jaewoo Hong; Yuchun Luo; Tania Azam; Brent E Palmer; Mayumi Fujita; Cecilia Garlanda; Alberto Mantovani; Soohyun Kim; Charles Anthony Dinarello
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-05       Impact factor: 11.205

8.  Periadventitial adipose tissue plays a critical role in vascular remodeling.

Authors:  Minoru Takaoka; Daisuke Nagata; Shinji Kihara; Iichiro Shimomura; Yu Kimura; Yasuhiko Tabata; Yoshihiko Saito; Ryozo Nagai; Masataka Sata
Journal:  Circ Res       Date:  2009-09-17       Impact factor: 17.367

9.  Dialysis accelerates medial vascular calcification in part by triggering smooth muscle cell apoptosis.

Authors:  Rukshana C Shroff; Rosamund McNair; Nichola Figg; Jeremy N Skepper; Leon Schurgers; Ashmeet Gupta; Melanie Hiorns; Ann E Donald; John Deanfield; Lesley Rees; Catherine M Shanahan
Journal:  Circulation       Date:  2008-10-06       Impact factor: 29.690

10.  Prognostic value of osteoprotegerin in heart failure after acute myocardial infarction.

Authors:  Thor Ueland; Rune Jemtland; Kristin Godang; John Kjekshus; Aina Hognestad; Torbjørn Omland; Iain B Squire; Lars Gullestad; Jens Bollerslev; Kenneth Dickstein; Pål Aukrust
Journal:  J Am Coll Cardiol       Date:  2004-11-16       Impact factor: 24.094

View more
  7 in total

Review 1.  Serum biomarkers for arterial calcification in humans: A systematic review.

Authors:  Nienke M S Golüke; Marit A Schoffelmeer; Annemarieke De Jonghe; Mariëlle H Emmelot-Vonk; Pim A De Jong; Huiberdina L Koek
Journal:  Bone Rep       Date:  2022-06-18

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

Authors:  Tong Liu; Chao Han; Lixian Sun; Zhenjiang Ding; Fei Shi; Ruijuan Wang; Wenfeng Wang; Weichao Shan; Ying Zhang; Na Hu; Jingyi Liu; Haiwei Bu
Journal:  Coron Artery Dis       Date:  2019-11       Impact factor: 1.439

3.  Interleukin‑37 is increased in peripheral blood mononuclear cells of coronary heart disease patients and inhibits the inflammatory reaction.

Authors:  Huimin Li; Chen Shen; Bingni Chen; Jing Du; Bin Peng; Wei Wang; Fanwu Chi; Xiaoqiang Dong; Zhong Huang; Chao Yang
Journal:  Mol Med Rep       Date:  2019-11-06       Impact factor: 2.952

4.  Serum Interleukin-37 Increases in Patients after Ischemic Stroke and Is Associated with Stroke Recurrence.

Authors:  Ying Zhang; Chengbi Xu; Haitao Wang; Shanji Nan
Journal:  Oxid Med Cell Longev       Date:  2021-04-13       Impact factor: 6.543

Review 5.  The intellectual base and research fronts of IL-37: A bibliometric review of the literature from WoSCC.

Authors:  Ya-Fei Qin; Shao-Hua Ren; Bo Shao; Hong Qin; Hong-da Wang; Guang-Ming Li; Yang-Lin Zhu; Cheng-Lu Sun; Chuan Li; Jing-Yi Zhang; Hao Wang
Journal:  Front Immunol       Date:  2022-07-22       Impact factor: 8.786

Review 6.  A Review of Interleukin-1 in Heart Disease: Where Do We Stand Today?

Authors:  Yishay Szekely; Yaron Arbel
Journal:  Cardiol Ther       Date:  2018-02-07

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

Authors:  Canjun Liu; Yancui Cui; Dan Zhang; Xiao Tian; Hongyan Zhang
Journal:  Comput Math Methods Med       Date:  2021-09-17       Impact factor: 2.238

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.