Vessel Plus 2018;2:13.10.20517/2574-1209.2018.19© The Author(s) 2018.
Open AccessOriginal Article

Plasmatic biomarkers of inflammation correlate with 18FDG-PET-CT and microembolic signals in patients with carotid stenosis

See all authors and affiliations

1Department of Neurology, University Hospital of Geneva and Medical School, Geneva 1211, Switzerland.

2Department of Neurology, Hospital of Sion, Sion 1950, Switzerland.

3Department of Neuroradiology, University Hospital of Geneva and Medical School, Geneva 1211, Switzerland.

4Department of Nuclear Medicine, University Hospital of Geneva and Medical School, Geneva 1211, Switzerland.

5Department of Laboratory Medicine, University Hospital of Geneva and Medical School, Geneva 1211, Switzerland.

Correspondence Address: Dr. Roman Sztajzel, Department of Neurology, University Hospital of Geneva and Medical School, Rue Gabrielle Perret Gentille 4, Geneva 1211, Switzerland. E-mail:

    Science Editor: Aaron S. Dumont | Copy Editor: Jun-Yao Li | Production Editor: Cai-Hong Wang

    © The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (, which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


    Aim: To determine whether plasmatic biomarkers correlate with 18fluoro-2-deoxy-D-glucose (FDG) positron emission tomography/computed tomography (PET-CT) and presence of microembolic signals (MES) detected by transcranial Doppler in patients with carotid stenosis.

    Methods: 18FDG-PET-CT and MES detection was performed in consecutive patients with 50% to 99% symptomatic or asymptomatic carotid stenosis. Uptake index was defined by a target to background ratio (TBR) between maximum standardized uptake value of the carotid plaque and the average uptake of the jugular veins. The analysis of biomarkers included adhesion molecules [intercellular adhesion molecule (ICAM)-1, vascular cell adhesion molecule 1, P-selectin and E-selectin], interleukins (IL-1, IL-6), chemokines (RANTES, monocyte chemoattractant protein 1), cytokines (tumor necrosis factor α), matrix-metalloproteases (MMP), myeloperoxidase, and lipoprotein-associated phospholipase A2.

    Results: There were 54 symptomatic and 57 asymptomatic patients. TBR values were significantly higher in the symptomatic compared to the asymptomatic (median 2.1 vs. 1.8, P = 0.002) and in the MES positive (MES+) compared to the MES negative (MES-) group (MES+, n = 19, median 2.3 and MES-, n = 88, median 1.8, P = 0.01). The best threshold for TBR values was of 1.9. We found a significant correlation between higher 18FDG uptake (TBR ≥ 1.9) and the plasmatic levels of chemokine RANTES (P = 0.03) and higher levels of ICAM-1 in MES+ patients (P = 0.03). Interestingly MMP-2 levels were more important in patients with lower TBR values (P = 0.02) and MMP-3 and P-selectin in those who were MES- (respectively P = 0.001 and P = 0.009).

    Conclusion: In the present study, ICAM-1 was associated with the presence of thrombotically active atherosclerotic plaques, while RANTES mainly correlated with the inflammatory process. MMP-2, MMP-3 and P-selectin levels were more important in patients with stable plaques.


    Inflamed carotid plaques play a key role in the occurrence of distal embolic cerebral infarcts[1-3]. Intensive research has been performed in the last few decades aimed at optimizing different imaging modalities with adequate spatial resolution to precisely analyse the arterial wall morphology, plaque composition, and degree of local inflammation[4-6]. Among them, positron emission tomography (PET) using the glucose analogue 18fluoro-2-deoxy-D-glucose (18FDG) as a radiotracer reflecting glycolytic activity has shown promise for non-invasive functional detection of local inflammation in atherosclerotic plaques and is considered as an emergent marker of plaque vulnerability[7-9]. Furthermore, ultrasound-based imaging modalities demonstrated that the presence of microembolic signals (MES) detected by means of transcranial Doppler downstream the stenosis is associated with an increased risk of embolic stroke[10-12].

    In the present study we investigated in patients with symptomatic or asymptomatic carotid stenosis the relationship between 18FDG-PET-computed tomography (CT), MES and plasmatic biomarkers of inflammation including adhesion molecules, interleukins (ILs), chemokines, cytokines, matrix-metalloproteases (MMP) and lipoprotein-associated phospholipase A2 (lp-PLA2).


    We included patients with unilateral symptomatic or asymptomatic carotid disease with 50% to 99% degree of stenosis according to the ECST criteria. Symptomatic stenosis was defined as any recent (< 6 months) neurological or retinal deficit, persisting or transient ischemic attack (TIA), which could be plausibly attributed to the ipsilateral carotid artery. Assessment of clinical parameters was performed upon study inclusion. Symptomatic patients had a complementary work up including cardiac ultrasound examination and long duration electrocardiogram for 7 days in order to exclude a cardio-embolic origin of stroke. Asymptomatic stenosis was defined as no history of recent (within the last 6 months) neurological or retinal deficit and/or presence of ipsilateral ischemic magnetic resonance imaging (MRI) lesions. All patients gave their written consent.

    18FDG-PET/CT angiography

    All patients underwent 18FDG-PET-CT with contrast angiography within 2-3 days after admission when symptomatic, and within 10 days after assessment of the diagnosis of carotid stenosis when asymptomatic. We used a standard protocol as described previously[13]. Analysis of PET-CT was done by two experienced investigators (JPW, HM) blinded to the clinical and biological data. The target to background ratio (TBR) was assessed by dividing the SUVmax of the carotid plaque wherever highest by the average SUVmean of the jugular veins.

    Ultrasound analysis

    Standard examination included duplex ultrasound of the carotid arteries (SIEMENS) with assessment of degree of stenosis according to the ECST criteria[14], plaque surface morphology and plaque echogenicity. For MES detection, bilateral transcranial doppler (TCD) recording was performed during 60 min. In symptomatic patients, this examination was performed within 7 days after stroke onset and within 10 days when asymptomatic. We used a standard protocol as described elsewhere[13]. Embolic signal interpretation was done manually by an experienced ultrasonographer based on the criteria of the International Consensus group on Microembolus Detection[15,16]. Detection of at least 1 MES ipsilateral of the stenosis resulted in a positive exam, and those patients were defined as MES+.


    Symptomatic patients underwent a CT scan with contrast angiography of vessels of the neck and brain. Additionally, MRI study was performed with T1, T2, diffusion weighted (DWI) and fluid attenuated inversion recovery (FLAIR) sequences.

    Plasmatic biomarkers

    Venous blood samples taken on the day of 18FDG-PET-CT were analyzed for 111 patients. Plasma levels of MMP-2, -3, -8, -9, IL-1, IL-6, intercellular adhesion molecule (ICAM)-1, vascular cell adhesion molecule (VCAM)-1, P-selectin, E-selectin, tumor necrosis factor α (TNFα), RANTES, monocyte chemoattractant protein (MCP)-1, were performed using a bioplex 200 array reader (Bio-Rad Laboratories; Hercules, CA, USA) with Luminex MAPTM Technology (Luminex Corporation, Austin, TX, USA). MPO levels were measured using the colorimetric enzyme-linked immunosorbent assay (ELISA), a commercial kit purchased from R&D Systems (Minneapolis, MN, USA), according to manufacturer’s instructions. The lp-PLA2 concentration (mass) was measured using PLAC Test ELISA Kit.

    Statistical analysis

    All continuous variables were summarized by mean and median. For testing of significant difference between groups, the U-Mann-Whitney test was applied. Receiver operating characteristic (ROC) curve analysis was used to determine the prognostic accuracy of the plasmatic biomarkers with respect to TBR values and presence or absence of MES. For correlation we used Spearman’s rho method. Statistical analysis was performed using MedCalc (MedCalc Software, Ostend, Belgium) software.


    From 2009 to 2015, 111 patients were analyzed. Fifty-four patients presented with symptomatic and 57 with asymptomatic carotid disease. All demographical data of the patients are summarized in Table 1. The CV risk factor profile was similar in the two groups, for the exception of degree of stenosis which was significantly higher in symptomatic patients. The male gender predominated in both groups.

    Table 1

    Baseline characteristics of the whole cohort

    Symptomatic (n = 54)Asymptomatic (n = 57)P values
    Age Mean 71.7Mean 72.10.7
    Gender (male)44 (81%)43 (75%)0.5
    Degree of stenosisMean 77.3Mean 73.20.03
    High blood pressure 41 (76%)42 (74%)0.9
    Diabetes17 (31%)16 (28%)0.5
    Dyslidemia25 (46%)34 (60%)0.2
    Tobacco 30 (56%)31 (54%)0.3
    Coronary disease10 (19%)10 (18%)0.9
    Family history4 (7.4%)5 (8.7%)0.9
    Antiplatelet7 (17%)4 (3.5%)0.3
    Statins18 (33%)26 (48%)0.2
    Stroke 42 (78%)-
    TIA12 (22%)-
    Lesion MRI (ipsilateral to stenosis)41 (76%)-
    *MES14 (19%)5 (9.2%)0.02
    TBRMedian 2.1Median 1.80.002


    MES detection could be carried out in 107 patients. In 4 patients the investigation was not possible because of insufficient temporal bone window. Nineteen of 107 (18%) patients presented microembolic signals ipsilaterally during TCD recording. The mean number of emboli was 10 (range 1-50). The proportion of MES+ patients was higher in the symptomatic (26%, n = 14/54) when compared to the asymptomatic group (9%, n = 5/57; P = 0.01) [Table 1].


    One hundred eleven patients with 111 carotid plaques were analyzed. Hundred-one plaques presented with partial calcification whereas 10 showed exclusively a soft component on CTA. 18FDG uptake was significantly higher in the symptomatic group as compared to the asymptomatic one (TBR: median 2.1 vs. 1.8, P = 0.002) [Table 1]. When confronting presence of MES to 18FDG uptake, those plaques producing emboli, showed also an increased inflammatory activity (TBR: median 2.3 vs. 1.8, P = 0.01). The best TBR threshold value for the distinction between symptomatic, asymptomatic, MES+ and MES- negative patients was 1.9[13].

    Plasmatic biomarkers

    Analysis of plasmatic biomarkers was performed in 111 patients. When symptomatic and asymptomatic patients were compared, levels of MMP-8 and MMP-9 were significantly higher in the symptomatic ones (P = 0.03 for both) [Table 2]. In a subgroup analysis of the symptomatic patients differentiating between stroke and TIA, only stroke patients maintained a difference of MMP-9, however without reaching significance. MPO showed a trend towards higher levels in stroke patients but did not attain statistical significance [Table 2].

    Table 2

    Inflammatory plasmatic biomarkers in symptomatic and asymptomatic patients (median values)

    Symptomatic (n = 54), pg/mLStroke only (n = 42), pg/mLTIA only (n = 12), pg/mLP value (stroke vs. TIA)Asymptomatic (n = 57), pg/mLP value (sympt vs. asympt)

    We found a significant correlation between higher 18FDG uptake (TBR ≥ 1.9) [Table 3] and the plasmatic levels of chemokine RANTES (P = 0.03). The correlation between RANTES and TBR values was of rho 0.249 (P = 0.008) [Figure 1].

    Table 3

    Inflammatory plasmatic biomarkers according to TBR values of 18FDG-PET-CT in symptomatic or asymptomatic patients with carotid stenosis (median values)

    TBR ≥ 1.9 (n = 56), pg/mLTBR < 1.9 (n = 55), pg/mLP value

    Figure 1. Correlation between RANTES and target to background ratio (TBR) values, rho 0.249 (P = 0.008)

    There were higher levels of ICAM-1 (P = 0.03) in MES+ patients [Table 4]. The correlation with the number of MES was of rho = 0.21 (P = 0.03).

    Table 4

    Inflammatory plasmatic biomarkers according to presence or absence of MES

    MES+ (n = 19), pg/mLMES− (n = 88), pg/mLP value

    The predictive values of RANTES and ICAM-1 are shown on Table 5.

    Table 5

    Sensitivity and specificity of biomarkers to predict high TBR values of 18FDG or presence of MES

    Sensitivity (%)Specificity (%)AUCCriterionP value
    RANTES82420.614> 27,835 pg/mL0.03
    ICAM-190420.615> 239,642 pg/mL0.015

    MMP-2 levels were more important in patients with lower TBR values (P = 0.02) and MMP-3 and P-selectin in those who were MES- (respectively P = 0.001 and P = 0.009) [Tables 3 and 4]. There was an inverse correlation between number of MES and MMP-3 with rho = -0.319 (P = 0.0008) and number of MES and P-selectin with rho = -0.26 (P = 0.006).


    The clinical role of plasmatic biomarkers in the setting of carotid atherosclerosis has been extensively studied in these recent years[17-19]. This not only for the assessment of the embolic risk but also for the choice of the best type of carotid intervention[20-22].

    The present study has examined the relationship between plasmatic mediators of inflammation, 18FDG uptake in carotid plaques and the presence of MES. We found a significant correlation between higher 18FDG uptake and the plasmatic levels chemokine RANTES [Table 3 and Figure 1]. Furthermore in MES+ patients higher levels of ICAM-1 were present.

    In the dal-PLAQUE study, baseline 18FDG uptake positively correlated with blood MPO and IL-6[23,24]. Interestingly, hs-CRP, P-selectin, E-selectin, ICAM-1, MMP-3 and MMP-9 did not correlate with TBR values[23,24]. In an earlier report by Rudd et al.[9], 18FDG uptake was significantly associated with serum MMP-9 levels. We did not find a correlation of PET-CT to MMP-9 in our study. One possible explanation is that MMP-9 may be influenced by the burden of ischemic brain lesions and does not only reflect inflammation within the carotid plaque. Supporting this hypothesis, we found a higher level of MMP-9 in stroke in contrast to TIA patients with a trend towards significance [Table 2].

    Chemokines coordinate communication between circulating inflammatory cells and endothelium[25,26]. We found that circulating RANTES correlated positively to 18FDG uptake in the carotid plaque, but there was no significant difference between symptomatic and asymptomatic patients. These findings are inline to those of Zaremba et al.[27] who found no differences in RANTES levels between the sera of stroke patients and those of controls. Furthermore, in the present study the analysis of the plasmatic levels of RANTES between patients with and without a lesion on MRI showed no statistical significant difference. Also correlation to TBR persisted even in patients without a stroke lesion. RANTES may therefore be a marker of inflammation in atherosclerosis and be less influenced by ischemic damage in stroke [Table 5]. In the present study, we found higher levels of ICAM-1 in MES+ patients, but not in patients with higher TBR values. These results possibly reflect different plaque components; in fact 18FDG-PET-CT mainly depicts the inflammatory state of the whole carotid plaque whereas presence of MES reflects surface abnormalities such as ulceration and/or plaque thrombus[7,10]. Although a significant correlation between presence of symptoms and MES could be demonstrated in our cohort [Table 1], no difference was found between symptomatic and asymptomatic patients with respect to ICAM-1 levels, again giving more strength to the link between biomarkers and thrombotically active plaques per se[Table 5]. Cellular adhesion molecules, including ICAM-1, VCAM-1 and E-selectin promote recruitment of inflammatory cells into the arterial wall where they interact with lipid particles leading subsequently to plaque formation[28]. In the Atherosclerosis Risk In Communities (ARIC) study, the relationship of ICAM-1 and E-selectin with coronary heart disease and carotid artery atherosclerosis was independent of other known risk factors[29]. Cellular adhesion molecules have also been implicated in the destabilisation of atherosclerotic plaques. In a recent study including human carotid endarterectomy (CEA) specimens from asymptomatic (n = 30) and symptomatic (n = 30) patients, expression of VCAM-1 on the endothelium of CEA specimens from symptomatic patients was 2.4-fold greater than that from asymptomatic patients (P < 0.01)[30]. In another study performed upon 40 patients undergoing carotid endarterectomy it was possible to determine the influence of surgery on the levels of adhesion molecules. A statistically significant decrease of the ICAM-1 levels 1 h and 6 h after the endarterectomy compared to levels before the operation was found suggesting that decrease of ICAM-1 could be a possible marker of endothelial de-activation after plaque removal[31]. Only very few studies investigated the relationship between biomarkers and presence of MES[32,33]. One study including 104 controls and 118 patients found increased values of CXCL16 in stroke and in MES+ patients[33]. Other studies reported the following biomarker candidates for MES:P-selectin, fibrinogen, high neutrophil count, reduced ratio of CD4+CD25, high regulatory T cells and the C allele of TNF receptor superfamily member[32]. At present ICAM-1 has never been reported in association with MES. However, as this biomarker may be involved in the process of plaque destabilization, its relationship to MES is nevertheless very likely. Interestingly in our cohort MMP-2 levels were significantly more important in patients with lower TBR values and MMP-3 and P-selectin in those who were MES-. There was also a trend of MMP-2 levels to be higher in MES- patients. MMPs are a class of proteases involved in extracellular matrix degradation, which appear to play a key role in the process of vascular remodeling during the course of vascular disease[34,35]. Numerous studies suggest that MMPs and in particular MMP-3, MMP-7, MMP-9 and MMP-12, may be involved in the process of plaque destabilization[36,37]. However there are conflicting results in particular regarding MMP-3. The correlation between MMP-3 blood levels and carotid atherosclerotic disease has been reported in several studies. Lien et al.[38] showed in a study including 433 patients that MMP-3 was significantly associated with the presence of higher carotid plaques scores reflecting more unstable plaques. On the other hand, experimental studies show that MMP-3 is required for efficient neointima formation after carotid ligation and for smooth cell migration, supporting the fact that MMP-3 acts on plaque stability[39]. The relationship between MMP-2 and stable plaques has been already described by Sluijter et al.[40] who showed in a study including 150 subjects that there was an increased activity of MMP-2 in association with the presence of smooth muscle cells and a fibrous phenotype. This finding suggested that MMP-2 may be considered as a marker of a stable plaque. The correlation between P-selectin and stable plaques has been less well documented. In the study reported by Yin et al.[32], P-selectin was increased in MES+ patients. On the opposite, in our cohort there was a significant increase of P-selectin levels in MES- patients with an inverse correlation between the number of MES and the plasmatic levels of P-selectin.

    To conclude, in the present study ICAM-1 was associated with the presence of thrombotically active atherosclerotic plaques, while RANTES mainly correlated with the inflammatory process. MMP-2, MMP-3 and P-selectin levels were more important in patients with stable plaques. Further studies combining 18FDG-PET-CT and MES detection are needed in order to confirm our results.


    Authors’ contributions

    Contributed to manuscript redaction: Mueller H

    Contributed to patients inclusion: Fisch L, Bonvin C

    Helped to define the the appropriate biomarkers: Lalive P, Pagano S, Vuilleumier N

    Contributed to the PET-CT protocole and to the interpretation of results: Ratib O, Willy JP, Lovblad K

    Contributed to the study design and to manuscript redaction: Sztajzel R

    Availability of data and materials

    All data were collected by our research study nurse and are available.

    Financial support and sponsorship

    The study was granted by the reasearch Center of the University Hospital of Geneve, sustained by the National Swiss Foundation.

    Conflicts of interest

    All authors declared that there are no conflicts of interest.

    Ethical approval and consent to participate

    The study was approved by Human Central Ethics commission of University Hospital Geneva and all patients gave their written consent.

    Consent for publication

    Not applicable.


    © The Author(s) 2018.


    • 1. Golledge J, Greenhalgh RM, Davies AH. The symptomatic carotid plaque. Stroke 2000;31:774-81.

    • 2. Spagnoli LG, Mauriello A, Sangiorgi G, Fratoni S, Bonanno E, Schwartz RS, Piepgras DG, Pistolese R, Ippoliti A, Holmes DR Jr. Extracranial thrombotically active carotid plaque as a risk factor for ischemic stroke. JAMA 2004;292:1845-52.

    • 3. Libby P. Inflammation in atherosclerosis. Arterioscler Thromb Vasc Biol 2012;32:2045-51.

    • 4. Jander S, Sitzer M, Schumann R, Schroeter M, Siebler M, Steinmetz H, Stoll G. Inflammation in high-grade carotid stenosis: a possible role for macrophages and T cells in plaque destabilization. Stroke 1998;29:1625-30.

    • 5. Virmani R, Burke AP, Farb A, Kolodgie FD. Pathology of the vulnerable plaque. J Am Coll Cardiol 2006;47:C13-8.

    • 6. Schwartz SM, Galis ZS, Rosenfeld ME, Falk E. Plaque rupture in humans and mice. Arterioscler Thromb Vasc Biol 2007;27:705-13.

    • 7. Rudd JH. Imaging atherosclerotic plaque inflammation with [18F]-Fluorodeoxyglucose positron emission tomography. Circulation 2002;105:2708-11.

    • 8. Marnane M, Merwick A, Sheehan OC, Hannon N, Foran P, Grant T, Dolan E, Moroney J, Murphy S, O'Rourke K, O'Malley K, O'Donohoe M, McDonnell C, Noone I, Barry M, Crowe M, Kavanagh E, O'Connell M, Kelly PJ. Carotid plaque inflammation on 18F-fluorodeoxyglucose positron emission tomography predicts early stroke recurrence. Ann Neurol 2012;71:709-18.

    • 9. Rudd JH, Myers KS, Bansilal S, Machac J, Woodward M, Fuster V, Farkouh ME, Fayad ZA. Relationships among regional arterial inflammation, calcification, risk factors, and biomarkers: a prospective fluorodeoxyglucose positron-emission tomography/computed tomography imaging study. Circ Cardiovasc Imaging 2009;2:107-15.

    • 10. Sitzer M, Müller W, Siebler M, Hort W, Kniemeyer HW, Jäncke L, Steinmetz H. Plaque ulceration and lumen thrombus are the main sources of cerebral microemboli in high-grade internal carotid artery stenosis. Stroke 1995;26:1231-3.

    • 11. King A, Markus HS. Doppler embolic signals in cerebrovascular disease and prediction of stroke risk: a systematic review and meta-analysis. Stroke 2009;40:3711-7.

    • 12. Markus HS, King A, Shipley M, Topakian R, Cullinane M, Reihill S, Bornstein NM, Schaafsma A. Asymptomatic embolisation for prediction of stroke in the Asymptomatic Carotid Emboli Study (ACES): a prospective observational study. Lancet Neurol 2010;9:663-71.

    • 13. Müller HF, Viaccoz A, Fisch L, Bonvin C, Lovblad KO, Ratib O, Lalive P, Pagano S, Vuilleumier N, Willi JP, Sztajzel R. 18FDG-PET-CT: an imaging biomarker of high-risk carotid plaques. Correlation to symptoms and microembolic signals. Stroke 2014;45:3561-6.

    • 14. Naylor AR, Rothwell PM, Bell PR. Overview of the principal results and secondary analyses from the European and North American randomised trials of endarterectomy for symptomatic carotid stenosis. Eur J Vasc Endovasc Surg 2003;26:115-29.

    • 15. Ringelstein RB, Droste DW, Babikian VI, Evans DH, Grosset DG, Kaps M, Markus HS, Russell D, Siebler M. Consensus on microembolus detection by TCD: international consensus group on microembolus detection. Stroke 1998;29:725-9.

    • 16. Choi Y, Saqqur M, Asil T, Jin A, Stewart E, Stephenson C, Ibrahim M, Roy J, Boulanger JM, Coutts S, Khan F, Demchuk AM. A combined power M-mode and single gate transcranial doppler ultrasound microemboli signal criteria for improving emboli detection and reliability. J Neuroimaging 2010;20:359-67.

    • 17. Koutouzis M, Rallidis LS, Peros G. Serum interleukin-6 is elevated in symptomatic carotid bifurcation disease. Acta Neurol Scand 2009;119:119-25.

    • 18. Papas TT, Maltezos CK, Papanas N. High-sensitivity CRP is correlated with neurologic symptoms and plaque instability in patients with severe stenosis of the carotid bifurcation. Vase Endovascular Surg 2008;42:249-55.

    • 19. Elkind MS, Luna JM, Moon YP, Liu KM, Spitalnik SL, Paik MC, Sacco RL. High-sensitivity C-reactive protein predicts mortality but not stroke: the Northern Manhattan Study. Neurology 2009;73:1300-7.

    • 20. Avgerinos ED, Kadoglou NP, Moulakakis KG, Giannakopoulos TG, Liapis CD. Current role of biomarkers in carotid disease: a systematic review. Int J Stroke 2011;6:337-45.

    • 21. Heider P, Poppert H, Wolf O, Liebig T, Pelisek J, Schuster T, Eckstein HH. Fibrinogen and high-sensitive C-reactive protein as serologic predictors for perioperative cerebral microembolic lesions after carotid endarterectomy. J Vasc Surg 2007;46:449-54.

    • 22. Versaci F, Reimers B, Prati F, Gaspardone A, Del Giudice C, Pacchioni A, Mauriello A, Cortese C, Nardi P, De Fazio A, Chiariello GA, Proietti I, Chiariello L. Prediction of cardiovascular events by inflammatory markers in patients undergoing carotid stenting. Mayo Clin Proc 2012;87:50-8.

    • 23. Duivenvoorden R, Mani V, Woodward M, Kallend D, Suchankova G, Fuster V, Rudd JH, Tawakol A, Farkouh ME, Fayad ZA. Relationship of serum inflammatory biomarkers with plaque inflammation assessed by FDG PET/CT: the dal-PLAQUE study. JACC Cardiovasc Imaging 2013;6:1087-94.

    • 24. Mani V, Woodward M, Samber D, Bucerius J, Tawakol A, Kallend D, Rudd JH, Abt M, Fayad ZA. Predictors of change in carotid atherosclerotic plaque inflammation and burden as measured by 18-FDG-PET and MRI, respectively, in the dal-PLAQUE study. Int J Cardiovasc Imaging 2014;30:571-82.

    • 25. Barlic J, Murphy PM. Chemokine regulation of atherosclerosis. J Leukoc Biol 2007;82:226-36.

    • 26. von Hundelshausen P, Weber KSC, Huo Y, Proudfoot AE, Nelson PJ, Ley K, Weber C. RANTES deposition by platelets triggers monocyte arrest on inflamed and atherosclerotic endothelium. Circulation 2001;103:1772-7.

    • 27. Zaremba J, Ilkowski J, Losy J. Serial measurements of levels of the chemokines CCL2, CCL3 and CCL5 in serum of patients with acute ischaemic stroke. Folia Neuropathol 2006;44:282-9.

    • 28. Ammirati E, Moroni F, Norata GD, Magnoni M, Camici PG. Markers of inflammation associated with plaque progression and instability in patients with carotid atherosclerosis. Mediators Inflamm 2015;2015:718329.

    • 29. Hwang SJ, Ballantyne CM, Sharrett AR, Smith LC, Davis CE, Gotto AM Jr, Boerwinkle E. Circulating adhesion molecules VCAM-1, ICAM-1, and E-selectin in carotid atherosclerosis and incident coronary heart disease cases: the Atherosclerosis Risk In Communities (ARIC) study. Circulation 1997;96:4219-25.

    • 30. Weinkauf CC, Concha-Moore K, Lindner JR, Marinelli ER, Hadinger KP, Bhattacharjee S, Berman SS, Goshima K, Leon LR Jr, Matsunaga TO, Unger E. Endothelial vascular cell adhesion molecule 1 is a marker for high-risk carotid plaques and target for ultrasound molecular imaging. J Vasc Surg 2018; doi: 10.1016/j.jvs.2017.10.088.

    • 31. Palenkić H, Bačun T, Ćosić A, Lovričević I, DeSyo D, Drenjančević I. Serum levels of ICAM-1, VCAM-1 and E-selectin in early postoperative period and three months after eversion carotid endarterectomy. Med Glas (Zenica) 2014;11:313-9.

    • 32. Yin R, Ma A, Pan X, Yang S. Biomarkers of cerebral microembolic signals. Clin Chim Acta 2017;475:164-8.

    • 33. Ma A, Yang S, Wang Y, Wang X, Pan X. Increase of serum CXCL16 level correlates well to microembolic signals in acute stroke patients with carotid artery stenosis. Clin Chim Acta 2016;460:67-71.

    • 34. Galis ZS, Khatri JJ. Matrix metalloproteinases in vascular remodeling and atherogenesis: the good, the bad, and the ugly. Circ Res 2002;90:251-62.

    • 35. Ramos-Fernandez M, Bellolio MF, Stead LG. Matrix metalloproteinase-9 as a marker for acute ischemic stroke: a systematic review. J Stroke Cerebrovasc Dis 2011;20:47-54.

    • 36. Loftus IM, Naylor AR, Bell PR, Thompson MM. Plasma MMP-9 - a marker of carotid plaque instability. Eur J Vasc Endovasc Surg 2001;21:17-21.

    • 37. Johnson JL, Jenkins NP, Huang WC, Di Gregoli K, Sala-Newby GB, Scholtes VP, Moll FL, Pasterkamp G, Newby AC. Relationship of MMP-14 and TIMP-3 expression with macrophage activation and human atherosclerotic plaque vulnerability. Mediators Inflamm 2014;2014:276457.

    • 38. Lien LM, Hsieh YC, Bai CH, Chen WH, Chiu HC, Hsieh FI, Shyu KG, Chiou HY, Hsu CY. Association of blood active matrix metalloproteinase-3 with carotid plaque score from a community population in Taiwan. Atherosclerosis 2010;212:595-600.

    • 39. Johnson JL, Dwivedi A, Somerville M, George SJ, Newby AC. Matrix metalloproteinase (MMP)-3 activates MMP-9 mediated vascular smooth muscle cell migration and neointima formation in mice. Arterioscler Thromb Vasc Biol 2011;31:e35-44.

    • 40. Sluijter JP, Pulskens WP, Schoneveld AH, Velema E, Strijder CF, Moll F, de Vries JP, Verheijen J, Hanemaaijer R, de Kleijn DP, Pasterkamp G. Matrix metalloproteinase 2 is associated with stable and matrix metalloproteinases 8 and 9 with vulnerable carotid atherosclerotic lesions: a study in human endarterectomy specimen pointing to a role for different extracellular matrix metalloproteinase inducer glycosylation forms. Stroke 2006;37:235-9.


    Article Access Statistics

    • Viewed: 609
    • Downloaded: 19
    • Cited: 0

    See Updates

    Table of Contents