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Research ArticleCardiovascular

Clinical Molecular Imaging of Chemokine Receptor CXCR4 Expression in Atherosclerotic Plaque Using 68Ga-Pentixafor PET: Correlation with Cardiovascular Risk Factors and Calcified Plaque Burden

Desiree Weiberg, James T. Thackeray, Guenter Daum, Jan M. Sohns, Saskia Kropf, Hans-Juergen Wester, Tobias L. Ross, Frank M. Bengel and Thorsten Derlin
Journal of Nuclear Medicine February 2018, 59 (2) 266-272; DOI: https://doi.org/10.2967/jnumed.117.196485
Desiree Weiberg
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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James T. Thackeray
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Guenter Daum
2Department of Vascular Medicine, University Heart Center Hamburg-Eppendorf, Hamburg, Germany
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Jan M. Sohns
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Saskia Kropf
3Scintomics GmbH, Fürstenfeldbruck, Germany; and
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Hans-Juergen Wester
4Pharmaceutical Radiochemistry, Technical University of Munich, Munich, Germany
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Tobias L. Ross
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Frank M. Bengel
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Thorsten Derlin
1Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
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Abstract

The CXC-motif chemokine receptor 4 (CXCR4) represents a promising target for molecular imaging of different CXCR4-positive cell types in cardiovascular diseases such as atherosclerosis and arterial wall injury. The aim of this study was to assess the prevalence, pattern, and clinical correlates of arterial wall accumulation of 68Ga-pentixafor, a specific CXCR4 ligand for PET. Methods: The data for 51 patients who underwent 68Ga-pentixafor PET/CT for noncardiovascular indications were retrospectively analyzed. Tracer accumulation in the vessel wall of major arteries was analyzed qualitatively and semiquantitatively by blood-pool–corrected target-to-background ratios. Tracer uptake was compared with calcified plaque burden and cardiovascular risk factors. Results: Focal arterial uptake of 68Ga-pentixafor was seen at 1,411 sites in 51 (100%) of patients. 68Ga-pentixafor uptake was significantly associated with calcified plaque burden (P < 0.0001) and cardiovascular risk factors including age (P < 0.0001), arterial hypertension (P < 0.0001), hypercholesterolemia (P = 0.0005), history of smoking (P = 0.01), and prior cardiovascular events (P = 0.0004). Both the prevalence (P < 0.0001) and the signal intensity (P = 0.009) of 68Ga-pentixafor uptake increased as the number of risk factors increased. Conclusion: 68Ga-pentixafor PET/CT is suitable for noninvasive, highly specific PET imaging of CXCR4 expression in the atherosclerotic arterial wall. Arterial wall 68Ga-pentixafor uptake is significantly associated with surrogate markers of atherosclerosis and is linked to the presence of cardiovascular risk factors. 68Ga-pentixafor signal is higher in patients with a high-risk profile and may hold promise for identification of vulnerable plaque.

  • CXCR4
  • atherosclerosis
  • plaque
  • 68Ga-pentixafor
  • PET/CT

The CXC-motif chemokine receptor 4 (CXCR4) and its ligand, CXCL12, play an important role in trafficking of progenitor and inflammatory cells (1). Ex vivo data have demonstrated a progressive accumulation of CXCR4-positive cells during plaque evolution (1). The role of the CXCR4/CXCL12 axis has recently been emphasized in models of ischemic injury (2–6). Of note, vulnerable plaque is characterized by distinct histopathologic hallmarks, including a preponderance of inflammatory CXCR4-positive cells such as monocytes and macrophages (1,7). Furthermore, CXCR4 is also expressed by other leukocyte populations and, importantly, various cell types such as smooth muscle cell progenitors and endothelial progenitor cells contributing to plaque evolution (1). Therefore, we hypothesized that CXCR4 would be a suitable target for imaging of plaque pathophysiology.

PET has become a well-studied technique for noninvasive molecular imaging of various aspects of atherosclerosis (8), such as for the quantification of macrophage-mediated inflammation in atherosclerotic lesions using 18F-FDG (9,10). However, 18F-FDG exhibits several inherent limitations, including a nonspecific mechanism of uptake, physiologic uptake in brain and myocardium, interaction with blood glucose, and the requirement for a fasting period before imaging.

Recently, the highly specific radiotracer 68Ga-pentixafor was introduced for clinical molecular imaging of CXCR4 expression (11–14). Our group reported on the feasibility of 68Ga-pentixafor PET for noninvasive characterization of postinfarction myocardial inflammation. In mice after coronary artery ligation, CXCR4 upregulation was proportional to flow cytometry–derived elevation of CD45-positive leukocytes in the left ventricle and increased immunohistochemical detection of CD68-positive macrophages and Ly6G-positive granulocytes in the infarct territory (5). More recently, 68Ga-pentixafor PET detected CXCR4 expression by inflammatory cells present in atherosclerotic plaques of an experimental rabbit model and in a limited patient cohort (15). The immunohistochemistry of human carotid plaques demonstrated CXCR4 expression localized to regions with high CD68-positive macrophage content (15).

However, experience with and interpretation of 68Ga-pentixafor PET imaging of arterial wall physiology in humans remain limited. Therefore, the purpose of the present study was to assess the prevalence, distribution, and topographic relationship of arterial lesions with increased 68Ga-pentixafor accumulation as determined by PET relative to arterial calcification as determined by CT.

MATERIALS AND METHODS

Study Population

The population of this retrospective study consisted of 51 patients (12 women, 39 men; mean age ± SD, 59.5 ± 16.2 y; range, 22.7–85.0 y) who had been referred to our institution for a 68Ga-pentixafor PET/CT scan for various noncardiovascular clinical indications (interstitial lung disease, n = 21; sarcoidosis, n = 13; complicated urinary tract infection, n = 8; leukemia, n = 5; and miscellaneous, n = 4) between February 2015 and June 2016. Sex, age (at-risk age: women, >55 y; men, >45 y), and other common cardiovascular risk factors such as hypertension, hypercholesterolemia, diabetes, a smoking habit, and prior vascular events (defined as myocardial infarction or cerebrovascular insult) were documented for each patient (16). Risk factors were considered categoric variables. Because of the potential influence of statins on plaque physiology and on expression of CXCR4 on monocytes, treatment with statins was also recorded (17). The exclusion criteria were a history of vasculitis, chemotherapy in the preceding 4 wk, or a cardiovascular event in the preceding 6 mo. The protocol complied with the Declaration of Helsinki. The institutional review board approved this retrospective study, and the requirement to obtain informed consent was waived.

Radiolabeling of 68Ga-Pentixafor, Image Acquisition, and Reconstruction

Material for synthesis of 68Ga-pentixafor (CPCR4.2) was provided by Scintomics. Synthesis was performed using a cold mass of 15 nmol of CPCR4.2 and a 1.11-GBq 68Ge/68Ga-generator (Eckert and Ziegler) connected to a Scintomics good-radiopharmaceutical-practice synthesis module, as described previously (12–14,18).

All studies were obtained on a dedicated PET/CT system (Biograph mCT 128 Flow; Siemens) equipped with an extended-field-of-view PET component, a 128-slice spiral CT component, and a magnetically driven table optimized for continuous scanning. 68Ga-pentixafor was injected intravenously at a dose of 123 ± 32 MBq. After an uptake period of 60 min, imaging started with a single low-dose nonenhanced helical CT scan (120 kV, modulated amperage, pitch of 1.2, and reconstructed axial slice thickness of 5.0 mm) obtained for attenuation correction of the PET acquisitions. Whole-body PET images were acquired using continuous bed motion at a speed of 2.0 mm/s for the head, 0.5 mm/s for the chest and abdomen, and 2.5 mm/s for the legs. All studies were reconstructed using time-of-flight and point-spread function TrueX information combined with an iterative algorithm (Ultra HD; Siemens Healthcare [2 iterations, 21 subsets, matrix of 200, zoom of 1.0, and gaussian filter of 2.0]).

Image Analysis

Transaxial PET, CT, and fused PET/CT 68Ga-pentixafor images were analyzed both visually and semiquantitatively on a dedicated workstation (syngo.via, V10B; Siemens Healthcare). The scans were analyzed on the basis of patients, arterial segment, and lesions. For segment-based analysis, the major arteries were subdivided as follows: right and left common carotid arteries, thoracic aorta, abdominal aorta, right and left iliac arteries, and right and left femoral arteries.

Calcified Plaque (CP)

CPs were defined as high-density mural areas (attenuation > 130 Hounsfield units) in the wall of the studied arteries (19). First, CT images were visually analyzed for the presence of CPs. Patients were categorized as those with CP (CT-positive) and those without discernible CP (CT-negative). The calcified lesion thickness, defined as the maximum calcification diameter measured in the intimoadventitial direction, was measured. Each arterial segment was classified on a 5-point scale for grading the maximum circumferential extent of calcifications: 0, absent; 1, less than 25% of arterial wall circumference; 2, 25%–50% of arterial wall circumference; 3, 51%–75% of arterial wall circumference; and 4, greater than 75% of arterial wall circumference (16).

Radiotracer Uptake

PET images were visually evaluated for the presence of focal radiotracer uptake above the background level in arterial walls (PET-positive). The localization of PET-positive lesions in relation to CPs and the vascular wall was analyzed on PET/CT images. Semiquantitative analysis was performed by obtaining the SUVmax of a lesion through manually placing an individual 3-dimensional volume of interest (typically 10 mm in diameter) around the lesion on coregistered transaxial PET/CT images. SUVblood pool was measured as the mean from 3 regions of interest of fixed size (10 mm) placed in the mid lumen of the superior vena cava. For the calculation of the arterial target-to-background ratio (TBR), the SUV of each arterial lesion was divided by the SUVblood pool (10).

Statistical Analysis

Continuous variables are expressed as mean ± SD. Categoric variables are presented with absolute and relative frequencies. For between-group comparisons of parametric continuous data, P values were calculated from an unpaired Student t test. The Pearson correlation coefficient (r) was used to assess the relationship between PET and CT findings, as well as imaging findings and cardiovascular risk factors. Afterward, a stepwise multiple-regression analysis was performed to determine an independent association between the imaging findings (number of CPs, number of PET-positive foci, and TBR) and cardiovascular risk factors. TBR divided into quartiles was analyzed using 1-way ANOVA. Statistical significance was established for P values of less than 0.05. Statistical analysis was performed using Prism (version 6.0 for Mac OS X [Apple]; GraphPad Software Inc.) and MedCalc Statistical Software (version 17.1; MedCalc Software).

RESULTS

68Ga-pentixafor uptake measurements and the assessment of CP burden were feasible in all patients. Relevant clinical patient characteristics are reported in Table 1.

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TABLE 1

Characteristics of Study Population (n = 51)

Arterial Wall 68Ga-Pentixafor Uptake and CP Burden

Focally increased 68Ga-pentixafor uptake in the arterial wall (Table 2) was observed at 1,411 sites in 51 (100%) patients. The prevalence of uptake was the highest in the abdominal aorta, followed by the thoracic aorta. Mean SUVmax was 3.4 ± 0.7, with a range of 1.8–7.3. Mean SUVblood pool was 1.8 ± 0.3, with a range of 1.2–2.6. Mean TBR was 2.0 ± 0.5, with a range of 1.1–4.9. TBR was also highest in the abdominal aorta.

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TABLE 2

Prevalence, Distribution, and Intensity of 68Ga-Pentixafor Uptake

Calcified atherosclerotic lesions (Table 3) were detected at 6,456 sites in 42 (82.4%) of the 51 study patients. On average, 24.1 ± 25.4 (range, 1–125) CPs were found in each arterial segment with observable calcification, and the abdominal aorta showed the highest CP burden. Mean calcification thickness was 2.8 ± 1.3 mm (range, 1–8 mm).

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TABLE 3

Prevalence, Distribution, and Extent of Calcification

Relationship Between 68Ga-Pentixafor Uptake, CP Burden, and Cardiovascular Risk Factors

On a per-patient basis, 51 patients (100%) were PET-positive, 42 (82.4%) were CT-positive, 42 (82.4%) were PET-positive/CT-positive, and 9 (17.6%) were PET-positive/CT-negative.

On a per-segment basis, 330 (80.9%) of the 408 studied arterial segments were PET-positive, and 268 (65.7%) were CT-positive. There were on average 4.2 ± 3.3 (range, 1–16) sites of 68Ga-pentixafor uptake in an affected segment, and 24.1 ± 25.4 (range, 1–125) calcified lesions.

On a per-lesion basis, 473 (33.5%) of the 1,411 arterial lesions with radiotracer accumulation showed concordant calcification. Only 7.3% of all arterial calcification sites showed increased 68Ga-pentixafor uptake (Figs. 1 and 2). Consistent with these findings, there was a statistically significant correlation between the number of PET-positive arterial uptake sites and CP burden (r = 0.67, P < 0.0001), maximum plaque thickness (r = 0.56, P < 0.0001), and calcification score (r = 0.69, P < 0.0001), all describing different aspects of the extent of arterial calcification.

FIGURE 1.
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FIGURE 1.

68Ga-pentixafor PET/CT images of abdominal aorta in 64-y-old man. CT (A and C) and PET/CT (B and D) images in transaxial (A and B) and coronal (C and D) views show 68Ga-pentixafor uptake in calcified atherosclerotic lesion (arrows) coincident with calcification.

FIGURE 2.
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FIGURE 2.

68Ga-pentixafor PET/CT images of abdominal aorta in 64-y-old woman. CT (A and C) and PET/CT (B and D) images in transaxial (A and B) and sagittal (C and D) views show 68Ga-pentixafor uptake in partly calcified atherosclerotic lesion (solid arrows) in wall of atherosclerotic ectatic aorta. Sagittal views show additional foci of uptake in non-CP (dashed arrows).

On average, study patients had 4 ± 2 (range, 1–7) cardiovascular risk factors. A significant correlation was found between the number of cardiovascular risk factors per patient and the number of CPs (r = 0.46, P = 0.0007), the number of PET-positive lesions (r = 0.70, P < 0.0001), and TBR (r = 0.36, P = 0.009) (Fig. 3). Single-variable regression analysis demonstrated significant correlations between the number of PET-positive arterial lesions and age at risk (r = 0.60, P < 0.0001), arterial hypertension (r = 0.56, P < 0.0001), hypercholesterolemia (r = 0.47, P = 0.0005), history of smoking (r = 0.35, P = 0.01), and prior vascular events (r = 0.47, P = 0.0004) (Supplemental Table 1; supplemental materials are available at http://jnm.snmjournals.org). Multiple regression analysis revealed age at risk (r = 0.50, P = 0.0003), arterial hypertension (r = 0.52, P = 0.0001), and history of smoking (r = 0.36, P = 0.01) to be independently associated with PET-positive arterial lesions (Supplemental Table 2).

FIGURE 3.
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FIGURE 3.

Correlation between imaging findings and number of cardiovascular risk factors. Number of CXCR4-positive lesions (A), TBR (B), and number of CPs (C) significantly increase as number of cardiovascular risk factors increases. TBR grouped by quartiles demonstrates high-risk profile in patients with high arterial CXCR4 expression (D).

Regarding the relationship of CP and cardiovascular risk factors, a significant correlation between CP burden and age at risk (r = 0.51, P = 0.0001), the presence of arterial hypertension (r = 0.37, P = 0.008), and prior vascular events (r = 0.46, P = 0.0008) was observed. Multiple regression analysis showed an independent association between CP burden and age at risk (r = 0.49, P = 0.0003) and prior vascular events (r = 0.38, P = 0.008).

Both the number of arterial uptake sites and the CP burden were significantly associated with current statin therapy (P < 0.0001 and P = 0.0009, respectively). TBR did not significantly differ between patients with (2.7 ± 0.8) and without (2.5 ± 0.8) ongoing statin treatment (P = 0.23).

DISCUSSION

To our knowledge, this was the first study of the prevalence, pattern, and clinical correlates of large–arterial wall accumulation of 68Ga-pentixafor in patients, and our results establish 68Ga-pentixafor PET/CT for imaging of CXCR4 expression in the atherosclerotic vessel wall. This novel methodology may refine the characterization of atherosclerotic lesions and may serve as a platform for future clinical studies targeting CXCR4-positive cells in atherosclerosis.

The CXCR4/CXCL12 axis (Table 4) plays a pivotal role in atherosclerosis and arterial injury (1,20). In advanced plaque, the density of macrophages indicates the risk of an atherothrombotic event because macrophages release proteolytic enzymes degrading the fibrous cap and promote intralesional inflammation by secreting proinflammatory cytokines (8). Therefore, many commonly used tracers, including 18F-FDG and 68Ga-DOTATATE, are applied to visualize different aspects of macrophage density, the latter with limited success (8,21). Previous immunohistochemical analyses of CXCR4 expression in human atherosclerotic plaque revealed a progressive accumulation of CXCR4-positive cells during plaque evolution, and CXCR4-positive leukocytes have been detected in culprit lesions in acute coronary syndromes (22). Taken together, CXCR4 expression by leukocytes is associated with vulnerability of plaque. Indeed, vascular 68Ga-pentixafor uptake showed a marked independent association with established risk factors such as at-risk age (r = 0.50, P = 0.0003), arterial hypertension (r = 0.52, P = 0.0001), and history of smoking (r = 0.36, P = 0.01). More important, both the number of CXCR4-positive lesions (r = 0.70, P < 0.0001) and the TBR (r = 0.36, P = 0.009) increased as the number of risk factors increased, suggesting a role for identifying risk-bearing atherosclerotic plaques.

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TABLE 4

Involvement of CXCR4/CXCL12 Axis in Atherosclerosis and Arterial Injury

Hyafil et al. have recently reported that CXCR4 expression is associated with CD68-positive macrophage-rich areas on immunohistochemistry of human carotid plaques (15). Additionally in that work, atherosclerotic plaques were induced by endothelial abrasion of large arteries in rabbits fed an atherogenic diet, leading to macrophage-rich plaques that were subsequently found to be CXCR4-positive (15). However, results from this nonphysiologic model of atherosclerotic plaque requiring both a considerable arterial injury and a special atherogenic diet may not be easily translated into the human clinical setting, in which atherogenic factors are much less pronounced, inflammation is not artificially induced and is less macrophage-dominated, and a variety of physiologic mechanisms are involved in the evolution of plaque. Indeed, other cell types involved in plaque evolution, including smooth muscle cell progenitors and endothelial progenitor cells, have also been found to express CXCR4 (1). Importantly, CXCR4 is also expressed by mature endothelial and smooth muscle cells in the arterial wall (1), indicating that other cell types may relevantly contribute to the in vivo CXCR4 signal. Arterial injury has been demonstrated to induce local smooth muscle cell CXCR4 expression, contributing to intimal hyperplasia (23). This indicates that a portion of 68Ga-pentixafor uptake could reflect mechanisms other than atherosclerosis, such as arterial injury in areas of turbulent flow. Finally, it has recently been shown that both CXCR4-positive endothelial cells and smooth muscle cells are atheroprotective in an apolipoprotein E–deficient mouse model, limiting atherosclerosis by maintaining arterial integrity and preserving endothelial barrier function (24). This finding underlines that CXCR4-positive cells have many different roles both in the atherosclerotic and in the nonatherosclerotic arterial wall (1). Although our results indicate a potential role of 68Ga-pentixafor PET/CT as a tool not only for in vivo visualization of CXCR4-positive atherosclerotic lesions in the large arteries but also for identification of inflamed, rupture-prone plaques, the relative contribution of different pathophysiologic mechanisms and different cell types to the observed CXCR4 signal remains to be elucidated.

Of note, the 18F-FDG signal in atherosclerotic lesions may be attenuated by use of statins. Likely because of the high cardiovascular risk profile, the number of arterial uptake sites and CP burden were higher in patients receiving statin treatment. However, the signal intensity (TBR) did not differ significantly between patients who were receiving ongoing statin treatment and those who were not (P = 0.23). These results are supported by recent data that found incubation with statins to have no significant impact on CXCR4 expression by macrophages (15), although other studies suggested some effect in certain monocyte subsets (17).

When the TBR of 68Ga-pentixafor was analyzed, a good contrast between atherosclerotic lesions and the blood pool was found. The mean TBR of 2.0 ± 0.5 for CXCR4-positive lesions is comparable to the TBR of 18F-sodium fluoride and even higher than the TBR of 18F-FDG, facilitating the identification of atherosclerotic lesions (10,16,25,26). The distribution of 68Ga-pentixafor throughout the major arteries was consistent with established atherosclerotic topography (25–27).

Although 68Ga-pentixafor uptake was observed in all patients, CPs were less common (17.6% PET-positive/CT-negative patients). Interestingly, these patients were considerably younger than PET-positive/CT-positive patients (34.6 ± 8.8 vs 64.9 ± 11.8 y), suggesting that the presence of CXCR4-positive cells begins at an early age and precedes arterial calcification. Consistent with that observation, only 7.3% of all arterial calcification sites showed 68Ga-pentixafor accumulation. CP is usually considered stable, late-stage atherosclerotic disease, underlining the possibility that CXCR4 imaging may identify earlier stages of plaque development and nonstable vulnerable plaque. Indeed, CXCR4-positive cells are involved in the initiation, progression, and rupture of atherosclerotic plaque (1,7). 18F-FDG uptake representing a measure of macrophage density in plaque is likewise rarely seen in CP (10,26). Furthermore, 68Ga-pentixafor uptake is clearly linked to the clinical cardiovascular risk profile, supporting a role for identifying risk-bearing plaque. The rate of colocalization between vascular 68Ga-pentixafor accumulation and calcification was 33.5%, whereas for 18F-FDG, coincident calcification was reported less frequently (10,26). These results indicate that CXCR4-targeted imaging may identify additional CXCR4-positive cells in the arterial wall besides intralesional macrophages, which represent the vascular target of 18F-FDG PET. Indeed, CXCR4 is also expressed by a variety of progenitor and other cells in the arterial wall, including endothelial and vascular smooth muscle cells (1).

Some limitations of the present study should be acknowledged. First, the precise cell type contributing to the in vivo 68Ga-pentixafor signal cannot be identified. However, previous ex vivo data evidenced upregulated CXCR4 expression by macrophages in atherosclerotic lesions (15). Second, the results of this study might not be perfectly generalizable to other patient populations. However, factors that might affect physiologic processes in the vessel wall were carefully excluded. Third, scans were performed using a routine imaging protocol for 68Ga-pentixafor imaging optimized for other indications. Dynamic or delayed data acquisition may provide additional information for the assessment of atherosclerotic plaques (28). 68Ga-pentixafor exhibits a relatively high blood-pool signal. However, at least some part of that signal is caused by specific binding of 68Ga-pentixafor on CXCR4-positive cells, questioning the potential impact of delayed imaging, which will rather support renal elimination of unbound tracer. In addition, the positron range is much higher for 68Ga than for 18F, potentially affecting the localization of the vessel wall signal and contributing to partial-volume effects. Given the facts that pentixafor is a specific marker of CXCR4-positive cell infiltration, that there are numerous preclinical studies linking plaque progression and CXCR4, and that established cardiovascular risk factors were strongly associated with tracer uptake in this study, we hypothesize that CXCR4-targeted PET imaging bears promise for stratifying the risk of impending atherothrombotic events.

CONCLUSION

On the basis of ex vivo findings of CXCR4 expression in atherosclerotic plaque, the present study demonstrated that 68Ga-pentixafor PET/CT is suitable for noninvasive, highly specific clinical PET imaging of CXCR4 expression in the atherosclerotic wall of large arteries. 68Ga-pentixafor uptake is significantly associated with CP burden and cardiovascular risk factors and may hold promise for identification of vulnerable plaque. This study provides a rationale to incorporate 68Ga-pentixafor PET into further preclinical and clinical studies to obtain new insights into CXCR4 expression in atherosclerotic lesions and to evaluate whether it may be used to specifically monitor interventions targeting CXCR4.

DISCLOSURE

Saskia Kropf is the CEO of Scintomics. Dr. Hans-Juergen Wester is a shareholder of Scintomics. No other potential conflict of interest relevant to this article was reported.

Footnotes

  • Published online Aug. 3, 2017.

  • © 2018 by the Society of Nuclear Medicine and Molecular Imaging.

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  • Received for publication May 23, 2017.
  • Accepted for publication July 7, 2017.
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Journal of Nuclear Medicine: 59 (2)
Journal of Nuclear Medicine
Vol. 59, Issue 2
February 1, 2018
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Clinical Molecular Imaging of Chemokine Receptor CXCR4 Expression in Atherosclerotic Plaque Using 68Ga-Pentixafor PET: Correlation with Cardiovascular Risk Factors and Calcified Plaque Burden
Desiree Weiberg, James T. Thackeray, Guenter Daum, Jan M. Sohns, Saskia Kropf, Hans-Juergen Wester, Tobias L. Ross, Frank M. Bengel, Thorsten Derlin
Journal of Nuclear Medicine Feb 2018, 59 (2) 266-272; DOI: 10.2967/jnumed.117.196485

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Clinical Molecular Imaging of Chemokine Receptor CXCR4 Expression in Atherosclerotic Plaque Using 68Ga-Pentixafor PET: Correlation with Cardiovascular Risk Factors and Calcified Plaque Burden
Desiree Weiberg, James T. Thackeray, Guenter Daum, Jan M. Sohns, Saskia Kropf, Hans-Juergen Wester, Tobias L. Ross, Frank M. Bengel, Thorsten Derlin
Journal of Nuclear Medicine Feb 2018, 59 (2) 266-272; DOI: 10.2967/jnumed.117.196485
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