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A novel biomarker of coronary atherosclerosis: serum DKK1 concentration correlates with coronary artery calcification and atherosclerotic plaques.
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PMID:  21935273     Owner:  NLM     Status:  MEDLINE    
DKK1 modulates Wnt signaling, which is involved in the atherosclerosis. However, no data exist regarding the usefulness of measuring serum DKK1 concentration in predicting coronary atherosclerosis. A total of 270 consecutive patients (62.8 ± 11.2 yr; 70% male) were included. A contrast-enhanced 64-slice coronary MDCT was performed to identify the presence of atherosclerotic plaques. Agatston calcium scores (CS) were calculated to quantify the coronary artery calcification (CAC). DKK1 concentrations were measured by enzyme-linked immunosorbent assay. For each subsequent DKK1 quartile, there was a significant increase in CAC (P = 0.004) and the number of segments with coronary atherosclerosis (P < 0.001). In addition, DKK1 concentration was significantly higher in patients with atherosclerotic plaques, regardless of plaque composition (P = 0.01). Multivariate analysis identified DKK1 as an independent risk factor for the presence of coronary atherosclerotic plaque. The adjusted odds ratio for coronary atherosclerotic plaque was 4.88 (95% CI, 1.67 to 14.25) for highest versus lowest quartile of the DKK1 levels. Furthermore, patients with DKK1 concentrations ≥ 68.6 pg/mL demonstrated coronary atherosclerotic plaques even when they had low CS. Serum DKK1 concentrations correlate with the coronary atherosclerosis and play an independent role in predicting the presence of coronary atherosclerosis.
Kwang-Il Kim; Kyoung Un Park; Eun Ju Chun; Sang Il Choi; Young-Seok Cho; Tae-Jin Youn; Goo-Yeong Cho; In-Ho Chae; Junghan Song; Dong-Ju Choi; Cheol-Ho Kim
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-09-01
Journal Detail:
Title:  Journal of Korean medical science     Volume:  26     ISSN:  1598-6357     ISO Abbreviation:  J. Korean Med. Sci.     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-09-21     Completed Date:  2012-01-13     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  8703518     Medline TA:  J Korean Med Sci     Country:  Korea (South)    
Other Details:
Languages:  eng     Pagination:  1178-84     Citation Subset:  IM    
Department of Internal Medicine, Seoul National University College of Medicine, Bundang Hospital, Seongnam, Korea.
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MeSH Terms
Aged, 80 and over
Biological Markers / blood
Calcinosis / blood,  complications,  radiography
Coronary Artery Disease / blood,  complications,  diagnosis*,  radiography
Intercellular Signaling Peptides and Proteins / blood*
Middle Aged
Odds Ratio
Plaque, Atherosclerotic / blood,  diagnosis*
Predictive Value of Tests
Risk Factors
Severity of Illness Index
Tomography, X-Ray Computed
Reg. No./Substance:
0/Biological Markers; 0/DKK1 protein, human; 0/Intercellular Signaling Peptides and Proteins

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Journal Information
Journal ID (nlm-ta): J Korean Med Sci
Journal ID (publisher-id): JKMS
ISSN: 1011-8934
ISSN: 1598-6357
Publisher: The Korean Academy of Medical Sciences
Article Information
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© 2011 The Korean Academy of Medical Sciences.
Received Day: 25 Month: 4 Year: 2011
Accepted Day: 14 Month: 7 Year: 2011
Print publication date: Month: 9 Year: 2011
Electronic publication date: Day: 01 Month: 9 Year: 2011
Volume: 26 Issue: 9
First Page: 1178 Last Page: 1184
ID: 3172655
PubMed Id: 21935273
DOI: 10.3346/jkms.2011.26.9.1178

A Novel Biomarker of Coronary Atherosclerosis: Serum DKK1 Concentration Correlates with Coronary Artery Calcification and Atherosclerotic Plaques
Kwang-Il Kim1
Kyoung Un Park2
Eun Ju Chun3
Sang Il Choi3
Young-Seok Cho1
Tae-Jin Youn1
Goo-Yeong Cho1
In-Ho Chae1
Junghan Song2
Dong-Ju Choi1
Cheol-Ho Kim1
1Department of Internal Medicine, Seoul National University College of Medicine, Bundang Hospital, Seongnam, Korea.
2Department of Laboratory Medicine, Seoul National University College of Medicine, Bundang Hospital, Seongnam, Korea.
3Department of Radiology, Seoul National University College of Medicine, Bundang Hospital, Seongnam, Korea.
Correspondence: Address for Correspondence: Cheol-Ho Kim, MD. Department of Internal Medicine, Seoul National University College of Medicine Bundang Hospital, 166 Gumi-ro, Bundang-gu, Seongnam 463-707, Korea. Tel: +82.31-787-7001, Fax: +82.31-787-4052,


Coronary artery calcium is a marker of subclinical coronary atherosclerotic disease and predicts coronary events. As a result, there has been considerable interest in the potential use of the coronary artery calcium score (CACS) using computed tomography (CT) in models of risk prediction (1). Furthermore, with the advance of technology, contrast-enhanced CT angiography can identify both calcified and non-calcified coronary atherosclerotic plaques. The clinical usefulness of CACS and coronary CT angiography (CCTA) is well known and their use has recently increased (2, 3). However, the concern regarding radiation exposure from CCTA has also increased (4).

A clinical risk score such as the Framingham risk score is helpful in identifying the high-risk group. However, more than half of the cardiac events develop in low-risk patients (5). Accordingly, a more sophisticated method to stratify the cardiovascular risk needs to be developed. Finding new biomarkers that can identify and quantify the severity of coronary artery calcification (CAC) and atherosclerosis would be less expensive, avoid exposure to radiation, and be more accessible than imaging based methods.

The Wnt signaling pathways are involved in diverse developmental and physiological processes, including cell differentiation and tissue/organ morphogenesis (6). Recent evidence points to an important role of the Wnt signaling pathways in the regulation of inflammation (7). In addition, Wnt pathway activation enhances monocyte adhesion and regulates trans-endothelial migration of monocytes. As a result, the Wnt signaling pathway is involved in the process of atherosclerosis (8). Moreover, the Wnt signaling pathway plays an important role in the vascular calcification (9, 10).

The canonical Wnt pathway is regulated by multiple families of secreted antagonists such as the soluble frizzled related receptors and dickkopf-1 (DKK1). DKK1 regulates Wnt signaling by binding to the Wnt co-receptor, LRP 5/6. Recently, enhanced DKK1 expression was observed within advanced carotid plaques, suggesting that a DKK1-driven inflammatory loop could be operating within the atherosclerotic lesion (11). However, it has not been clearly demonstrated whether the serum concentration of DKK1 may be useful for predicting the extent of atherosclerosis or vascular calcification.

In this study, we aimed to evaluate the clinical significance of serum DKK1 concentration for predicting CAC and the presence of coronary atherosclerotic plaques.

Study population

We studied 270 consecutive subjects who visited Seoul National University Bundang Hospital complaining of chest pain from July 2006 through July 2008. The exclusion criteria were acute myocardial infarction, uncontrolled arrhythmia (ventricular tachycardia/fibrillation, atrial flutter/fibrillation, or atrioventricular block greater than second degree), contrast allergy, and renal dysfunction (serum creatinine > 2.0 mg/dL). Clinical information was gathered by personal interview and a physical examination was performed by physicians. A biochemical evaluation and full medical examination were also performed.

The estimated pretest probability for coronary artery disease was estimated using the Duke clinical score, which includes type of chest discomfort, age, gender, and traditional risk factors. Subjects were categorized into a low (1% to 30%), intermediate (31% to 70%), or high (71% to 99%) risk group of having coronary artery disease (12).

Coronary multidetector computed tomography (MDCT) and coronary artery calcium scoring

All subjects were examined using the same CT unit and scanning protocols. All CT scans were performed using a 64-slice CCTA scanner (Brilliance 64, Philips Medical Systems, Best, The Netherlands) with 64 × 0.625-mm section collimation, 420-ms rotation time, 120-kV tube voltage, and 800-mA tube current under electrocardiographic-gated dose modulation. Before CCTA, all patients with a baseline heart rate > 70 beats/min received an intravenous esmolol of 10 to 30 mg (Jeil Pharm, Seoul, Korea). Nitroglycerin 0.6 mg was administered sublingually immediately before contrast injection (13). During CCTA acquisition, a bolus of 80 mL iomeprol (Iomeron 400, Bracco, Milan, Italy) was injected intravenously (4 mL/s) followed by a 50-mL saline chaser.

Coronary MDCT scans were analyzed independently by two experienced radiologists who were unaware of the clinical information and used a three-dimensional workstation (Brilliance, Philips Medical Systems). Agatston calcium scores (CS) were calculated to quantify the extent of CAC (14). The presence of coronary atherosclerotic plaque was evaluated according to the modified American Heart Association classification (15). The contrast-enhanced portion of the coronary lumen was semiautomatically traced at the maximal stenotic site and compared with the mean value of the proximal and distal reference sites. Structures that were > 1 mm2 within and/or adjacent to the vessel lumen were defined as plaques. Three groups of plaques were classified: lesions in which > 50% of the plaque area was occupied by calcified tissue (density > 130 Hounsfield unit in native scans) were classified as calcified, lesions with < 50% calcium as mixed, and lesions without any calcium were classified as noncalcified (16).

Measurement of serum DKK1 concentration

DKK1 concentrations were measured by enzyme-linked immunosorbent assay according to the manufacturer's instructions (DuoSet ELISA development kit, R&D Systems Inc., Minneapolis, MN, USA).


Hypertension was defined as blood pressure ≥ 140/90 mmHg or taking any antihypertensive medications. Diabetes mellitus was defined by a fasting blood glucose ≥ 126 mg/dL or a history of or treatment for hyperglycemia. Hypercholesterolemia was defined by a total cholesterol ≥ 200 mg/dL or treatment for hypercholesterolemia. Ischemic heart disease was defined by a history of angina, myocardial infarction, or previous treatment with coronary medications or intervention for heart disease. Smoking status was classified into current smokers (smoked within the last month), ex-smokers (given up for more than one month), and non-smokers.

Statistical analysis

Statistical analyses were performed using SPSS (version 15.0, SPSS Inc., Chicago, IL, USA) or MedCalc (version 11.0, MedCalc software, Mariakerke, Belgium). Continuous variables are expressed as mean ± SD. Because serum DKK1 levels and CACS were not normally distributed, the values are also reported as median and interquartile range (IQR). Continuous variables were compared by either the unpaired Student's t-test or analysis of variance (ANOVA) followed by post-hoc comparison with the Scheffe test. Discrete variables are expressed as counts and percentages, and the chi-squared or Fisher's exact test was used to compare proportions. Correlation analyses were performed using the Pearson and Spearman coefficients of correlation for parametric and nonparametric variables, respectively. Multiple logistic regressions were employed to assess the independent association of DKK1 concentration and CACS with the presence of coronary atherosclerotic plaque. Differences in the predicted value were estimated by comparing the area under the receiver-operating characteristic curve (AUC), taking the correlation between the areas into account. We also calculated the c-statistic for models with conventional risk factors with and without CACS or DKK1. All statistical analyses were two-tailed, and P values < 0.05 were considered statistically significant.

Ethics statement

All subjects provided informed consent and the study was approved by the institutional review board at Seoul National University Bundang Hospital (IRB number: B-0807/059-004).

Baseline characteristics of study subjects

A total of 270 consecutive patients with chest pain were included. The mean age was 62.8 ± 11.2 yr (range: 31-92 yr), and males comprised 70% of subjects. Of the 270 patients, 41 (15%) patients showed no evidence of coronary artery calcium. The mean value of CACS was 338.1 ± 518.7 (median 112.9, IQR 16.9-450.6). The mean serum concentration of DKK1 was 134.5 ± 127.2 pg/mL (median 99.8, IQR 61.6-158.5). Both CACS and DKK1 concentration showed skewed distributions. Clinical and laboratory characteristics of the patients are presented in Table 1 according to the quartile of DKK1 concentration. A significant increase in platelet count that correlated with increasing quartiles of DKK1 concentration was identified. All other variables were not different among the DKK1 quartiles.

Association between DKK1 concentration and coronary atherosclerosis

The serum concentration of DKK1 was positively but weakly correlated with CACS (Spearman's rho = 0.191, P = 0.002). CAC was significantly associated with the level of DKK1. The median (IQR) values of the CACS were 42.9 (0.0-224.8), 127.1 (22.2-612.3), 145.4 (38.5-639.3), and 154.1 (44.8-444.5) in the lowest, second, third, and highest quartiles of DKK1 level (P = 0.004). Also, the distribution of DKK1 and CACS quartiles were closely associated (P = 0.021). Overall, any coronary atherosclerotic plaque (≥ 10% luminal narrowing) was detected in 253 (94%) subjects, and the mean number of segments with coronary atherosclerotic plaques was 3.4 ± 1.8 per subjects. The number of segments with coronary atherosclerosis was significantly higher in groups with higher DKK1 concentrations (P < 0.001) (Fig. 1A). In addition, DKK1 concentration was significantly elevated according to the global coronary atherosclerotic burden (Fig. 1B).

Significant coronary atherosclerotic stenosis (≥ 50% luminal narrowing) was identified in 212 (79%) subjects. Among these patients, 79 subjects had exclusively non-calcified plaques, 25 subjects had exclusively calcified plaques, and 108 subjects had both and, thus, were classified as having mixed plaques. DKK1 was significantly elevated in patients with coronary atherosclerotic stenosis (median [IQR] with DKK1 concentrations of 63.2 [52.7-102.8] pg/mL, 105.2 [64.4-169.1] pg/mL, and 108.5 [72.0-183.2] pg/mL in patients without plaque, with non-calcified plaque, and with mixed or calcified plaque, respectively) (P = 0.01) (Fig. 2).

The association between DKK1 concentration and coronary atherosclerotic stenosis was not different according to the pretest risk profile evaluated using the Duke clinical score. The frequency of coronary atherosclerotic stenosis was significantly increased according to the level of DKK1, both in the low to intermediate-risk group (n = 72) and in the high-risk group (n = 198).

Comparison of CACS and DKK1 in predicting the presence of coronary atherosclerotic stenosis

The levels of CACS were significantly higher in patients with calcified or mixed plaque. However, the values were not different in patients with non-calcified plaque compared to patients without plaques (Fig. 3).

The AUC for the DKK1 concentration was 0.678 (95% CI: 0.619-0.734), which was comparable to that of CACS (AUC 0.729, 95% CI: 0.672-0.782) (P = 0.260). The sensitivity and specificity of DKK1 levels ≥ 68.6 pg/mL for the presence of coronary atherosclerotic plaques were 77% (71%-82%) and 55% (42%-68%), respectively.

For the prediction of coronary atherosclerotic plaques, improvement in discrimination compared with the model with conventional risk factors was observed with inclusion of CACS (c-statistic = 0.735) in the model and with DKK1 (c-statistic = 0.717). Addition of both CACS and DKK1 resulted in a statistically significant increase of the c-statistic compared with the model based on clinical risk factor or clinical risk factor plus either CACS or DKK1 (Fig. 4, Table 2).

In multivariate analysis, CACS and DKK1 concentrations retained a strong association with the presence of coronary atherosclerotic plaque after adjustment for age, gender, and other variables (Table 3). Interestingly, the patients who had low CACS (Agatston CS < 154.1, cut-off value after the receiver-operating characteristic curve analysis) but DKK1 ≥ 68.6 pg/mL showed a similar probability of having coronary atherosclerotic plaque as patients with high CACS (Agatston CS ≥ 154.1) (Fig. 5).


In this study, we demonstrated that DKK1 concentration significantly correlated with CAC and the presence of coronary atherosclerotic plaque. Furthermore, in patients with a low CACS, DKK1 concentration could be useful to identify the presence of coronary plaque.

CACS alone can rank the risk of coronary heart disease independently of the clinical risk profile and shows good correlation with calcified atherosclerotic plaque. However, the efficacy of CACS for predicting non-calcified coronary plaques has shown limited potential (17). Moreover, a zero CACS result does not exclude significant coronary artery stenosis or the need for coronary revascularization (18).

Contrary to CACS, DKK1 can identify non-calcified as well as calcium-containing plaques without radiation exposure. In addition, DKK1 provides incremental information regarding the prediction of coronary atherosclerotic plaque beyond traditional risk factors. All of these results merit further investigation of DKK1 measurement in various clinical situations for identifying coronary atherosclerosis.

The hallmark of the DKK family is its ability to modulate Wnt signaling. The founding member of the family, DKK1, was discovered by its ability to block Wnt signaling (19, 20). The Wnt signaling pathway is involved in inflammation and atherosclerosis. In addition, the role of Wnt signaling during vascular calcification has been established. Aicher et al. have shown that DKK1 induces the osteoclast differentiation factor RANKL, which has an important role in vascular calcification (21, 22). Moreover, Ueland et al. (11) have demonstrated that DKK1 expression is enhanced in advanced carotid plaques and that DKK1 is a novel mediator in platelet-mediated endothelial cell activation, which could occur within the atherosclerotic lesions. All of these findings suggest that DKK1 may modulate vascular calcification and atherosclerosis. However, until now there was no concrete evidence showing the clinical implication of measuring serum DKK1 concentrations in the patients.

In this study, we observed a positive correlation between the serum concentration of DKK1 and CAC. Furthermore, the DKK1 concentration was significantly increased in patients with CAC and atherosclerotic plaques. Interestingly, DKK1 concentration was significantly different between patients without plaque and with non-calcified plaque; however, CACS showed no difference between these patients.

With the advance of technological improvement, CCTA could characterize coronary atherosclerotic plaques. New technologies enable us to identify non-calcified coronary plaques, but there are concerns about the associated radiation exposure. Accordingly, a new method to identify both non-calcified and calcium-containing plaques needs to be developed. From this point of view, the measurement of DKK1 concentration in addition to CACS would be beneficial for the prediction of coronary artery disease in patients with chest pain. However, it is not obvious whether this result could also be applied to other populations, such as asymptomatic individuals or other ethnic backgrounds. Furthermore, it is not clear whether DKK1 is also useful to predict systemic atherosclerosis other than coronary atherosclerosis. Accordingly, the association between DKK1 concentration and systemic atherosclerosis in carotid, aorta, and peripheral vessels need to be evaluated.

We observed a significant increase in platelet count that correlated with increasing quartiles of DKK1 concentration. Previous report demonstrated that DKK1 is a mediator in platelet-dependent endothelial activation (11). However, the association between DKK1 and coronary atherosclerotic plaques remained significant after adjustment for platelet count in multivariate analysis.

In conclusion, serum DKK1 concentrations correlate with the presence of CAC and play a role in predicting the presence of coronary atherosclerotic plaques. The measurement of DKK1 merits further investigation as a simple test for identifying coronary atherosclerosis without the risk of radiation exposure.


This work was supported by the Korea Research Foundation Grant, funded by the Korean Government (MOEHRD, Basic Research Promotion Fund) (KRF-2008-331-E00106) and by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science and Technology (2009-0063258).


A Novel Biomarker of Coronary Atherosclerosis: Serum DKK1 Concentration Correlates with Coronary Artery Calcification and Atherosclerotic Plaques

Kwang-Il Kim, Kyoung Un Park, Eun Ju Chun, Sang Il Choi, Young-Seok Cho, Tae-Jin Youn, Goo-Yeong Cho, In-Ho Chae, Junghan Song, Dong-Ju Choi and Cheol-Ho Kim

Here, we show that DKK1 concentration is significantly associated with coronary artery calcification and coronary atherosclerotic plaques. Furthermore, in patients with low calcium scores, DKK1 concentration is valuable in differentiating the presence of coronary plaques. Accordingly, measuring the serum DKK1 concentration is clinically useful for identifying coronary atherosclerosis.

1. Detrano R,Guerci AD,Carr JJ,Bild DE,Burke G,Folsom AR,Liu K,Shea S,Szklo M,Bluemke DA,O'Leary DH,Tracy R,Watson K,Wong ND,Kronmal RA. Coronary calcium as a predictor of coronary events in four racial or ethnic groupsN Engl J MedYear: 20083581336134518367736
2. Rubinshtein R,Halon DA,Gaspar T,Jaffe R,Karkabi B,Flugelman MY,Kogan A,Shapira R,Peled N,Lewis BS. Usefulness of 64-slice cardiac computed tomographic angiography for diagnosing acute coronary syndromes and predicting clinical outcome in emergency department patients with chest pain of uncertain originCirculationYear: 20071151762176817372178
3. Greenland P,LaBree L,Azen SP,Doherty TM,Detrano RC. Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individualsJAMAYear: 200429121021514722147
4. Einstein AJ,Henzlova MJ,Rajagopalan S. Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiographyJAMAYear: 200729831732317635892
5. Bamberg F,Dannemann N,Shapiro MD,Seneviratne SK,Ferencik M,Butler J,Koenig W,Nasir K,Cury RC,Tawakol A,Achenbach S,Brady TJ,Hoffmann U. Association between cardiovascular risk profiles and the presence and extent of different types of coronary atherosclerotic plaque as detected by multidetector computed tomographyArterioscler Thromb Vasc BiolYear: 20082856857418174458
6. Peifer M,Polakis P. Wnt signaling in oncogenesis and embryogenesis: a look outside the nucleusScienceYear: 20002871606160910733430
7. Sen M,Ghosh G. Transcriptional outcome of Wnt-Frizzled signal transduction in inflammation: evolving conceptsJ ImmunolYear: 20081814441444518802045
8. Christman MA 2nd,Goetz DJ,Dickerson E,McCall KD,Lewis CJ,Benencia F,Silver MJ,Kohn LD,Malgor R. Wnt5a is expressed in murine and human atherosclerotic lesionsAm J Physiol Heart Circ PhysiolYear: 2008294H2864H287018456733
9. Shao JS,Cheng SL,Pingsterhaus JM,Charlton-Kachigian N,Loewy AP,Towler DA. Msx2 promotes cardiovascular calcification by activating paracrine Wnt signalsJ Clin InvestYear: 20051151210122015841209
10. Kirton JP,Crofts NJ,George SJ,Brennan K,Canfield AE. Wnt/beta-catenin signaling stimulates chondrogenic and inhibits adipogenic differentiation of pericytes: potential relevance to vascular disease?Circ ResYear: 200710158158917673669
11. Ueland T,Otterdal K,Lekva T,Halvorsen B,Gabrielsen A,Sandberg WJ,Paulsson-Berne G,Pedersen TM,Folkersen L,Gullestad L,Oie E,Hansson GK,Aukrust P. Dickkopf-1 enhances inflammatory interaction between platelets and endothelial cells and shows increased expression in atherosclerosisArterioscler Thromb Vasc BiolYear: 2009291228123419498175
12. Pryor DB,Shaw L,McCants CB,Lee KL,Mark DB,Harrell FE Jr,Muhlbaier LH,Califf RM. Value of the history and physical in identifying patients at increased risk for coronary artery diseaseAnn Intern MedYear: 199311881908416322
13. Chun EJ,Lee W,Choi YH,Koo BK,Choi SI,Jae HJ,Kim HC,So YH,Chung JW,Park JH. Effects of nitroglycerin on the diagnostic accuracy of electrocardiogram-gated coronary computed tomography angiographyJ Comput Assist TomogrYear: 200832869218303294
14. Agatston AS,Janowitz WR,Hildner FJ,Zusmer NR,Viamonte M Jr,Detrano R. Quantification of coronary artery calcium using ultrafast computed tomographyJ Am Coll CardiolYear: 1990158278322407762
15. Austen WG,Edwards JE,Frye RL,Gensini GG,Gott VL,Griffith LS,McGoon DC,Murphy ML,Roe BB. A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart AssociationCirculationYear: 1975514 Suppl5401116248
16. Choi EK,Chun EJ,Choi SI,Chang SA,Choi SH,Lim S,Rivera JJ,Nasir K,Blumenthal RS,Jang HC,Chang HJ. Assessment of subclinical coronary atherosclerosis in asymptomatic patients with type 2 diabetes mellitus with single photon emission computed tomography and coronary computed tomography angiographyAm J CardiolYear: 200910489089619766752
17. Scholte AJ,Schuijf JD,Kharagjitsingh AV,Jukema JW,Pundziute G,van der Wall EE,Bax JJ. Prevalence of coronary artery disease and plaque morphology assessed by multi-slice computed tomography coronary angiography and calcium scoring in asymptomatic patients with type 2 diabetesHeartYear: 20089429029517646190
18. Gottlieb I,Miller JM,Arbab-Zadeh A,Dewey M,Clouse ME,Sara L,Niinuma H,Bush DE,Paul N,Vavere AL,Texter J,Brinker J,Lima JA,Rochitte CE. The absence of coronary calcification does not exclude obstructive coronary artery disease or the need for revascularization in patients referred for conventional coronary angiographyJ Am Coll CardiolYear: 20105562763420170786
19. Niehrs C. Function and biological roles of the Dickkopf family of Wnt modulatorsOncogeneYear: 2006257469748117143291
20. Glinka A,Wu W,Delius H,Monaghan AP,Blumenstock C,Niehrs C. Dickkopf-1 is a member of a new family of secreted proteins and functions in head inductionNatureYear: 19983913573629450748
21. Panizo S,Cardus A,Encinas M,Parisi E,Valcheva P,Lépez-Ongil S,Coll B,Fernandez E,Valdivielso JM. RANKL increases vascular smooth muscle cell calcification through a RANK-BMP4-dependent pathwayCirc ResYear: 20091041041104819325147
22. Aicher A,Kollet O,Heeschen C,Liebner S,Urbich C,Ihling C,Orlandi A,Lapidot T,Zeiher AM,Dimmeler S. The Wnt antagonist Dickkopf-1 mobilizes vasculogenic progenitor cells via activation of the bone marrow endosteal stem cell nicheCirc ResYear: 200810379680318776043

Article Categories:
  • Original Article
    • Cardiovascular Disorders

Keywords: Dickkopf-1, Atherosclerosis, Vascular calcification, Biomarker.

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