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Zhou A, Leach JR, Zhu C, Dong H, Jiang F, Lee YJ, Iannuzzi J, Gasper W, Saloner D, Hope MD, Mitsouras D. Dynamic Contrast-Enhanced MRI in Abdominal Aortic Aneurysms as a Potential Marker for Disease Progression. J Magn Reson Imaging 2023; 58:1258-1267. [PMID: 36747321 DOI: 10.1002/jmri.28640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Abdominal aortic aneurysms (AAAs) may rupture before reaching maximum diameter (Dmax ) thresholds for repair. Aortic wall microvasculature has been associated with elastin content and rupture sites in specimens, but its relation to progression is unknown. PURPOSE To investigate whether dynamic contrast-enhanced (DCE) MRI of AAA is associated with Dmax or growth. STUDY TYPE Prospective. POPULATION A total of 27 male patients with infrarenal AAA (mean age ± standard deviation = 75 ± 5 years) under surveillance with DCE MRI and 2 years of prior follow-up intervals with computed tomography (CT) or MRI. FIELD STRENGTH/SEQUENCE A 3-T, dynamic three-dimensional (3D) fast gradient-echo stack-of-stars volumetric interpolated breath-hold examination (Star-VIBE). ASSESSMENT Wall voxels were manually segmented in two consecutive slices at the level of Dmax . We measured slope to 1-minute and area under the curve (AUC) to 1 minute and 4 minutes of the signal intensity change postcontrast relative to that precontrast arrival, and, Ktrans , a measure of microvascular permeability, using the Patlak model. These were averaged over all wall voxels for association to Dmax and growth rate, and, over left/right and anterior/posterior quadrants for testing circumferential homogeneity. Dmax was measured orthogonal to the aortic centerline and growth rate was calculated by linear fit of Dmax measurements. STATISTICAL TESTS Pearson correlation and linear mixed effects models. A P value <0.05 was considered statistically significant. RESULTS In 44 DCE MRIs, mean Dmax was 45 ± 7 mm and growth rate in 1.5 ± 0.4 years of prior follow-up was 1.7 ± 1.2 mm per year. DCE measurements correlated with each other (Pearson r = 0.39-0.99) and significantly differed between anterior/posterior versus left/right quadrants. DCE measurements were not significantly associated with Dmax (P = 0.084, 0.289, 0.054 and 0.255 for slope, AUC at 1 minute and 4 minutes, and Ktrans , respectively). Slope and 4 minutes AUC significantly associated with growth rate after controlling for Dmax . CONCLUSION Contrast uptake may be increased in lateral aspects of the AAA. Contrast enhancement 1-minute slope and 4-minutes AUC may be associated with a period of recent AAA growth that is independent of Dmax . EVIDENCE LEVEL 3. TECHNICAL EFFICACY Stage 2.
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Affiliation(s)
- Ang Zhou
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Joseph R Leach
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Huiming Dong
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Fei Jiang
- Department of Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Yoo Jin Lee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - James Iannuzzi
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Surgery, University of California San Francisco, San Francisco, California, USA
| | - Warren Gasper
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Surgery, University of California San Francisco, San Francisco, California, USA
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Dimitrios Mitsouras
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
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Faravelli I, Gagliardi D, Abati E, Meneri M, Ongaro J, Magri F, Parente V, Petrozzi L, Ricci G, Farè F, Garrone G, Fontana M, Caruso D, Siciliano G, Comi GP, Govoni A, Corti S, Ottoboni L. Multi-omics profiling of CSF from spinal muscular atrophy type 3 patients after nusinersen treatment: a 2-year follow-up multicenter retrospective study. Cell Mol Life Sci 2023; 80:241. [PMID: 37543540 PMCID: PMC10404194 DOI: 10.1007/s00018-023-04885-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 08/07/2023]
Abstract
Spinal muscular atrophy (SMA) is a neurodegenerative disorder caused by mutations in the SMN1 gene resulting in reduced levels of the SMN protein. Nusinersen, the first antisense oligonucleotide (ASO) approved for SMA treatment, binds to the SMN2 gene, paralogue to SMN1, and mediates the translation of a functional SMN protein. Here, we used longitudinal high-resolution mass spectrometry (MS) to assess both global proteome and metabolome in cerebrospinal fluid (CSF) from ten SMA type 3 patients, with the aim of identifying novel readouts of pharmacodynamic/response to treatment and predictive markers of treatment response. Patients had a median age of 33.5 [29.5; 38.25] years, and 80% of them were ambulant at time of the enrolment, with a median HFMSE score of 37.5 [25.75; 50.75]. Untargeted CSF proteome and metabolome were measured using high-resolution MS (nLC-HRMS) on CSF samples obtained before treatment (T0) and after 2 years of follow-up (T22). A total of 26 proteins were found to be differentially expressed between T0 and T22 upon VSN normalization and LIMMA differential analysis, accounting for paired replica. Notably, key markers of the insulin-growth factor signaling pathway were upregulated after treatment together with selective modulation of key transcription regulators. Using CombiROC multimarker signature analysis, we suggest that detecting a reduction of SEMA6A and an increase of COL1A2 and GRIA4 might reflect therapeutic efficacy of nusinersen. Longitudinal metabolome profiling, analyzed with paired t-Test, showed a significant shift for some aminoacid utilization induced by treatment, whereas other metabolites were largely unchanged. Together, these data suggest perturbation upon nusinersen treatment still sustained after 22 months of follow-up and confirm the utility of CSF multi-omic profiling as pharmacodynamic biomarker for SMA type 3. Nonetheless, validation studies are needed to confirm this evidence in a larger sample size and to further dissect combined markers of response to treatment.
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Affiliation(s)
- Irene Faravelli
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy.
| | - Delia Gagliardi
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elena Abati
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Megi Meneri
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jessica Ongaro
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesca Magri
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Valeria Parente
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lucia Petrozzi
- Department of Clinical and Experimental Medicine, Neurological Clinics, University of Pisa, Pisa, Italy
| | - Giulia Ricci
- Department of Clinical and Experimental Medicine, Neurological Clinics, University of Pisa, Pisa, Italy
| | | | | | | | - Donatella Caruso
- Unitech OMICs, University of Milan, Milan, Italy
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, Neurological Clinics, University of Pisa, Pisa, Italy
| | - Giacomo Pietro Comi
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alessandra Govoni
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy
| | - Stefania Corti
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy.
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Linda Ottoboni
- Department of Pathophysiology and Transplantation (DEPT), Dino Ferrari Centre, University of Milan, Milan, Italy.
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Amadori L, Calcagno C, Fernandez DM, Koplev S, Fernandez N, Kaur R, Mury P, Khan NS, Sajja S, Shamailova R, Cyr Y, Jeon M, Hill CA, Chong PS, Naidu S, Sakurai K, Ghotbi AA, Soler R, Eberhardt N, Rahman A, Faries P, Moore KJ, Fayad ZA, Ma’ayan A, Giannarelli C. Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis. NATURE CARDIOVASCULAR RESEARCH 2023; 2:550-571. [PMID: 37771373 PMCID: PMC10538622 DOI: 10.1038/s44161-023-00278-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 04/28/2023] [Indexed: 09/30/2023]
Abstract
The development of new immunotherapies to treat the inflammatory mechanisms that sustain atherosclerotic cardiovascular disease (ASCVD) is urgently needed. Herein, we present a path to drug repurposing to identify immunotherapies for ASCVD. The integration of time-of-flight mass cytometry and RNA sequencing identified unique inflammatory signatures in peripheral blood mononuclear cells stimulated with ASCVD plasma. By comparing these inflammatory signatures to large-scale gene expression data from the LINCS L1000 dataset, we identified drugs that could reverse this inflammatory response. Ex vivo screens, using human samples, showed that saracatinib-a phase 2a-ready SRC and ABL inhibitor-reversed the inflammatory responses induced by ASCVD plasma. In Apoe-/- mice, saracatinib reduced atherosclerosis progression by reprogramming reparative macrophages. In a rabbit model of advanced atherosclerosis, saracatinib reduced plaque inflammation measured by [18F] fluorodeoxyglucose positron emission tomography-magnetic resonance imaging. Here we show a systems immunology-driven drug repurposing with a preclinical validation strategy to aid the development of cardiovascular immunotherapies.
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Affiliation(s)
- Letizia Amadori
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
- The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Claudia Calcagno
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Dawn M. Fernandez
- Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Simon Koplev
- Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Nicolas Fernandez
- Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ravneet Kaur
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Pauline Mury
- Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Nayaab S Khan
- Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Swathy Sajja
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Roza Shamailova
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Yannick Cyr
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Minji Jeon
- Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Christopher A. Hill
- Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Peik Sean Chong
- The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Sonum Naidu
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Ken Sakurai
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Adam Ali Ghotbi
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Raphael Soler
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Natalia Eberhardt
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Adeeb Rahman
- The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Peter Faries
- Department of Surgery, Vascular Division, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Kathryn J. Moore
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
| | - Zahi A. Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Avi Ma’ayan
- Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Chiara Giannarelli
- Department of Medicine, Division of Cardiology, NYU Cardiovascular Research Center, New York, NY USA
- Department of Medicine, Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY USA
- Department of Pathology; NYU Grossman School of Medicine, NYU Langone Health, New York, NY USA
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4
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Slavkova KP, DiCarlo JC, Wadhwa V, Kumar S, Wu C, Virostko J, Yankeelov TE, Tamir JI. An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data. Magn Reson Med 2023; 89:1617-1633. [PMID: 36468624 PMCID: PMC9892348 DOI: 10.1002/mrm.29547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 11/09/2022] [Accepted: 11/15/2022] [Indexed: 12/09/2022]
Abstract
PURPOSE To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data. METHODS The ConvDecoder (CD) neural network was trained with a physics-based regularization term incorporating the spoiled gradient echo equation that describes variable-flip angle data. Fully-sampled variable-flip angle k-space data were retrospectively accelerated by factors of R = {8, 12, 18, 36} and reconstructed with CD, CD with the proposed regularization (CD + r), locally low-rank (LR) reconstruction, and compressed sensing with L1-wavelet regularization (L1). Final images from CD + r training were evaluated at the "argmin" of the regularization loss; whereas the CD, LR, and L1 reconstructions were chosen optimally based on ground truth data. The performance measures used were the normalized RMS error, the concordance correlation coefficient, and the structural similarity index. RESULTS The CD + r reconstructions, chosen using the stopping condition, yielded structural similarity indexs that were similar to the CD (p = 0.47) and LR structural similarity indexs (p = 0.95) across R and that were significantly higher than the L1 structural similarity indexs (p = 0.04). The concordance correlation coefficient values for the CD + r T1 maps across all R and subjects were greater than those corresponding to the L1 (p = 0.15) and LR (p = 0.13) T1 maps, respectively. For R ≥ 12 (≤4.2 min scan time), L1 and LR T1 maps exhibit a loss of spatially refined details compared to CD + r. CONCLUSION The use of an untrained neural network together with a physics-based regularization loss shows promise as a measure for determining the optimal stopping point in training without relying on fully-sampled ground truth data.
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Affiliation(s)
| | - Julie C. DiCarlo
- The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA
- Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX USA
| | - Viraj Wadhwa
- Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX USA
| | - Sidharth Kumar
- Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX USA
| | - Chengyue Wu
- The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA
| | - John Virostko
- The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA
- Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX USA
- Department of Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX USA
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX USA
| | - Thomas E. Yankeelov
- The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA
- Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX USA
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA
- Department of Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX USA
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX USA
| | - Jonathan I. Tamir
- The Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA
- Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX USA
- Department of Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX USA
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5
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Senders ML, Calcagno C, Tawakol A, Nahrendorf M, Mulder WJM, Fayad ZA. PET/MR imaging of inflammation in atherosclerosis. Nat Biomed Eng 2023; 7:202-220. [PMID: 36522465 DOI: 10.1038/s41551-022-00970-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 10/25/2022] [Indexed: 12/23/2022]
Abstract
Myocardial infarction, stroke, mental disorders, neurodegenerative processes, autoimmune diseases, cancer and the human immunodeficiency virus impact the haematopoietic system, which through immunity and inflammation may aggravate pre-existing atherosclerosis. The interplay between the haematopoietic system and its modulation of atherosclerosis has been studied by imaging the cardiovascular system and the activation of haematopoietic organs via scanners integrating positron emission tomography and resonance imaging (PET/MRI). In this Perspective, we review the applicability of integrated whole-body PET/MRI for the study of immune-mediated phenomena associated with haematopoietic activity and cardiovascular disease, and discuss the translational opportunities and challenges of the technology.
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Affiliation(s)
- Max L Senders
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Claudia Calcagno
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ahmed Tawakol
- Cardiology Division and Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Matthias Nahrendorf
- Center for Systems Biology and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Willem J M Mulder
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
- Department of Internal Medicine, Radboud Institute of Molecular Life Sciences (RIMLS) and Radboud Center for Infectious Diseases (RCI), Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
- Laboratory of Chemical Biology, Department of Biochemical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
| | - Zahi A Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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6
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Calcagno C, David JA, Motaal AG, Coolen BF, Beldman T, Corbin A, Kak A, Ramachandran S, Pruzan A, Sridhar A, Soler R, Faries CM, Fayad ZA, Mulder WJM, Strijkers GJ. Self-gated, dynamic contrast-enhanced magnetic resonance imaging with compressed-sensing reconstruction for evaluating endothelial permeability in the aortic root of atherosclerotic mice. NMR IN BIOMEDICINE 2023; 36:e4823. [PMID: 36031706 PMCID: PMC10078106 DOI: 10.1002/nbm.4823] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/01/2022] [Accepted: 08/21/2022] [Indexed: 05/16/2023]
Abstract
High-risk atherosclerotic plaques are characterized by active inflammation and abundant leaky microvessels. We present a self-gated, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) acquisition with compressed sensing reconstruction and apply it to assess longitudinal changes in endothelial permeability in the aortic root of Apoe-/- atherosclerotic mice during natural disease progression. Twenty-four, 8-week-old, female Apoe-/- mice were divided into four groups (n = 6 each) and imaged with self-gated DCE-MRI at 4, 8, 12, and 16 weeks after high-fat diet initiation, and then euthanized for CD68 immunohistochemistry for macrophages. Eight additional mice were kept on a high-fat diet and imaged longitudinally at the same time points. Aortic-root pseudo-concentration curves were analyzed using a validated piecewise linear model. Contrast agent wash-in and washout slopes (b1 and b2 ) were measured as surrogates of aortic root endothelial permeability and compared with macrophage density by immunohistochemistry. b2 , indicating contrast agent washout, was significantly higher in mice kept on an high-fat diet for longer periods of time (p = 0.03). Group comparison revealed significant differences between mice on a high-fat diet for 4 versus 16 weeks (p = 0.03). Macrophage density also significantly increased with diet duration (p = 0.009). Spearman correlation between b2 from DCE-MRI and macrophage density indicated a weak relationship between the two parameters (r = 0.28, p = 0.20). Validated piecewise linear modeling of the DCE-MRI data showed that the aortic root contrast agent washout rate is significantly different during disease progression. Further development of this technique from a single-slice to a 3D acquisition may enable better investigation of the relationship between in vivo imaging of endothelial permeability and atherosclerotic plaques' genetic, molecular, and cellular makeup in this important model of disease.
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Affiliation(s)
- Claudia Calcagno
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - John A. David
- Amsterdam University Medical Centers, Department of Medical Biochemistry, Amsterdam Cardiovascular SciencesUniversity of AmsterdamAmsterdamThe Netherlands
| | - Abdallah G. Motaal
- Siemens Healthineers, Cardiovascular Care Group, Advanced Therapies BusinessErlangenGermany
| | - Bram F. Coolen
- Amsterdam University Medical Centers, Department of Biomedical Engineering and Physics, Amsterdam Cardiovascular SciencesUniversity of AmsterdamAmsterdamThe Netherlands
| | - Thijs Beldman
- Department of Internal MedicineRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Alexandra Corbin
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - Arnav Kak
- University of Texas Southwestern Medical CenterDallasTXUSA
| | - Sarayu Ramachandran
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - Alison Pruzan
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - Arthi Sridhar
- Department of Hematology/OncologyUTHealth McGovern Medical SchoolHoustonTXUSA
| | - Raphael Soler
- CNRS, CRMBMMarseilleFrance
- Department of Vascular and Endovascular SurgeryHôpital Universitaire de la Timone, APHMMarseilleFrance
| | - Christopher M. Faries
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - Zahi A. Fayad
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
| | - Willem J. M. Mulder
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Diagnostic, Molecular and Interventional RadiologyIcahn School of Medicine at Mount SinaiNew YorkUSA
- Department of Internal MedicineRadboud University Medical CenterNijmegenThe Netherlands
- Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Gustav J. Strijkers
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkUSA
- Amsterdam University Medical Centers, Department of Biomedical Engineering and Physics, Amsterdam Cardiovascular SciencesUniversity of AmsterdamAmsterdamThe Netherlands
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7
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Copeland A, Silver E, Korja R, Lehtola SJ, Merisaari H, Saukko E, Sinisalo S, Saunavaara J, Lähdesmäki T, Parkkola R, Nolvi S, Karlsson L, Karlsson H, Tuulari JJ. Infant and Child MRI: A Review of Scanning Procedures. Front Neurosci 2021; 15:666020. [PMID: 34321992 PMCID: PMC8311184 DOI: 10.3389/fnins.2021.666020] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/04/2021] [Indexed: 12/13/2022] Open
Abstract
Magnetic resonance imaging (MRI) is a safe method to examine human brain. However, a typical MR scan is very sensitive to motion, and it requires the subject to lie still during the acquisition, which is a major challenge for pediatric scans. Consequently, in a clinical setting, sedation or general anesthesia is often used. In the research setting including healthy subjects anesthetics are not recommended for ethical reasons and potential longer-term harm. Here we review the methods used to prepare a child for an MRI scan, but also on the techniques and tools used during the scanning to enable a successful scan. Additionally, we critically evaluate how studies have reported the scanning procedure and success of scanning. We searched articles based on special subject headings from PubMed and identified 86 studies using brain MRI in healthy subjects between 0 and 6 years of age. Scan preparations expectedly depended on subject's age; infants and young children were scanned asleep after feeding and swaddling and older children were scanned awake. Comparing the efficiency of different procedures was difficult because of the heterogeneous reporting of the used methods and the success rates. Based on this review, we recommend more detailed reporting of scanning procedure to help find out which are the factors affecting the success of scanning. In the long term, this could help the research field to get high quality data, but also the clinical field to reduce the use of anesthetics. Finally, we introduce the protocol used in scanning 2 to 5-week-old infants in the FinnBrain Birth Cohort Study, and tips for calming neonates during the scans.
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Affiliation(s)
- Anni Copeland
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
| | - Eero Silver
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
| | - Riikka Korja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychology, University of Turku, Turku, Finland
| | - Satu J. Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Harri Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Ekaterina Saukko
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Susanne Sinisalo
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Tuire Lähdesmäki
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Pediatric Neurology, Turku University Hospital, University of Turku, Turku, Finland
| | - Riitta Parkkola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Saara Nolvi
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychology and Speech-Language Pathology, Turku Institute for Advanced Studies, University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
| | - Jetro J. Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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8
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Andelovic K, Winter P, Jakob PM, Bauer WR, Herold V, Zernecke A. Evaluation of Plaque Characteristics and Inflammation Using Magnetic Resonance Imaging. Biomedicines 2021; 9:185. [PMID: 33673124 PMCID: PMC7917750 DOI: 10.3390/biomedicines9020185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/19/2022] Open
Abstract
Atherosclerosis is an inflammatory disease of large and medium-sized arteries, characterized by the growth of atherosclerotic lesions (plaques). These plaques often develop at inner curvatures of arteries, branchpoints, and bifurcations, where the endothelial wall shear stress is low and oscillatory. In conjunction with other processes such as lipid deposition, biomechanical factors lead to local vascular inflammation and plaque growth. There is also evidence that low and oscillatory shear stress contribute to arterial remodeling, entailing a loss in arterial elasticity and, therefore, an increased pulse-wave velocity. Although altered shear stress profiles, elasticity and inflammation are closely intertwined and critical for plaque growth, preclinical and clinical investigations for atherosclerosis mostly focus on the investigation of one of these parameters only due to the experimental limitations. However, cardiovascular magnetic resonance imaging (MRI) has been demonstrated to be a potent tool which can be used to provide insights into a large range of biological parameters in one experimental session. It enables the evaluation of the dynamic process of atherosclerotic lesion formation without the need for harmful radiation. Flow-sensitive MRI provides the assessment of hemodynamic parameters such as wall shear stress and pulse wave velocity which may replace invasive and radiation-based techniques for imaging of the vascular function and the characterization of early plaque development. In combination with inflammation imaging, the analyses and correlations of these parameters could not only significantly advance basic preclinical investigations of atherosclerotic lesion formation and progression, but also the diagnostic clinical evaluation for early identification of high-risk plaques, which are prone to rupture. In this review, we summarize the key applications of magnetic resonance imaging for the evaluation of plaque characteristics through flow sensitive and morphological measurements. The simultaneous measurements of functional and structural parameters will further preclinical research on atherosclerosis and has the potential to fundamentally improve the detection of inflammation and vulnerable plaques in patients.
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Affiliation(s)
- Kristina Andelovic
- Institute of Experimental Biomedicine, University Hospital Würzburg, 97080 Würzburg, Germany
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Patrick Winter
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
- Internal Medicine I, Cardiology, University Hospital Würzburg, 97080 Würzburg, Germany;
| | - Peter Michael Jakob
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Wolfgang Rudolf Bauer
- Internal Medicine I, Cardiology, University Hospital Würzburg, 97080 Würzburg, Germany;
| | - Volker Herold
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Alma Zernecke
- Institute of Experimental Biomedicine, University Hospital Würzburg, 97080 Würzburg, Germany
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9
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Willemink MJ, Coolen BF, Dyvorne H, Robson PM, Bander I, Ishino S, Pruzan A, Sridhar A, Zhang B, Balchandani P, Mani V, Strijkers GJ, Nederveen AJ, Leiner T, Fayad ZA, Mulder WJM, Calcagno C. Ultra-high resolution, 3-dimensional magnetic resonance imaging of the atherosclerotic vessel wall at clinical 7T. PLoS One 2020; 15:e0241779. [PMID: 33315867 PMCID: PMC7735577 DOI: 10.1371/journal.pone.0241779] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 10/21/2020] [Indexed: 12/11/2022] Open
Abstract
Accurate quantification and characterization of atherosclerotic plaques with MRI requires high spatial resolution acquisitions with excellent image quality. The intrinsically better signal-to-noise ratio (SNR) at high-field clinical 7T compared to the widely employed lower field strengths of 1.5 and 3T may yield significant improvements to vascular MRI. However, 7T atherosclerosis imaging also presents specific challenges, related to local transmit coils and B1 field inhomogeneities, which may overshadow these theoretical gains. We present the development and evaluation of 3D, black-blood, ultra-high resolution vascular MRI on clinical high-field 7T in comparison lower-field 3T. These protocols were applied for in vivo imaging of atherosclerotic rabbits, which are often used for development, testing, and validation of translatable cardiovascular MR protocols. Eight atherosclerotic New Zealand White rabbits were imaged on clinical 7T and 3T MRI scanners using 3D, isotropic, high (0.63 mm3) and ultra-high (0.43 mm3) spatial resolution, black-blood MR sequences with extensive spatial coverage. Following imaging, rabbits were sacrificed for validation using fluorescence imaging and histology. Image quality parameters such as SNR and contrast-to-noise ratio (CNR), as well as morphological and functional plaque measurements (plaque area and permeability) were evaluated at both field strengths. Using the same or comparable imaging parameters, SNR and CNR were in general higher at 7T compared to 3T, with a median (interquartiles) SNR gain of +40.3 (35.3-80.1)%, and a median CNR gain of +68.1 (38.5-95.2)%. Morphological and functional parameters, such as vessel wall area and permeability, were reliably acquired at 7T and correlated significantly with corresponding, widely validated 3T vessel wall MRI measurements. In conclusion, we successfully developed 3D, black-blood, ultra-high spatial resolution vessel wall MRI protocols on a 7T clinical scanner. 7T imaging was in general superior to 3T with respect to image quality, and comparable in terms of plaque area and permeability measurements.
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Affiliation(s)
- Martin J. Willemink
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America
| | - Bram F. Coolen
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Hadrien Dyvorne
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Philip M. Robson
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Ilda Bander
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Seigo Ishino
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Alison Pruzan
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Arthi Sridhar
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Bei Zhang
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Priti Balchandani
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Venkatesh Mani
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Zahi A. Fayad
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Willem J. M. Mulder
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Medical Biochemistry, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Claudia Calcagno
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- * E-mail:
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10
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A Scaffold Free 3D Bioprinted Cartilage Model for In Vitro Toxicology. Methods Mol Biol 2020. [PMID: 32840820 DOI: 10.1007/978-1-0716-0611-7_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Bioprinting has emerged as a promising method for precise spatiotemporal patterning of biological materials such as living cells, genetic materials, and proteins, which are sensitive to any other fabrication techniques. Bioprinting allows the generation of tissue constructs and models that closely mimic the anatomical and physiological attributes of a chosen tissue. In vitro toxicology assays can greatly benefit from bioprinting as drugs can be screened with higher efficiencies in a significantly reduced period. This protocol describes a method for fabricating bioprinted cartilage constructs which can be used for in vitro toxicology studies employing a scalable "tissue strand" bioprinting modality.
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11
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Calcagno C, Lairez O, Hawkins J, Kerr SW, Dugas MS, Simpson T, Epskamp J, Robson PM, Eldib M, Bander I, K-Raman P, Ramachandran S, Pruzan A, Kaufman A, Mani V, Ehlgen A, Niessen HG, Broadwater J, Fayad ZA. Combined PET/DCE-MRI in a Rabbit Model of Atherosclerosis: Integrated Quantification of Plaque Inflammation, Permeability, and Burden During Treatment With a Leukotriene A4 Hydrolase Inhibitor. JACC Cardiovasc Imaging 2019; 11:291-301. [PMID: 29413439 DOI: 10.1016/j.jcmg.2017.11.030] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 10/16/2017] [Accepted: 11/01/2017] [Indexed: 12/19/2022]
Abstract
OBJECTIVES The authors sought to develop combined positron emission tomography (PET) dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) to quantify plaque inflammation, permeability, and burden to evaluate the efficacy of a leukotriene A4 hydrolase (LTA4H) inhibitor in a rabbit model of atherosclerosis. BACKGROUND Multimodality PET/MRI allows combining the quantification of atherosclerotic plaque inflammation, neovascularization, permeability, and burden by combined 18F-fluorodeoxyglucose (18F-FDG) PET, DCE-MRI, and morphological MRI. The authors describe a novel, integrated PET-DCE/MRI protocol to noninvasively quantify these parameters in aortic plaques of a rabbit model of atherosclerosis. As proof-of-concept, the authors apply this protocol to assess the efficacy of the novel LTA4H inhibitor BI691751. METHODS New Zealand White male rabbits (N = 49) were imaged with integrated PET-DCE/MRI after atherosclerosis induction and 1 and 3 months after randomization into 3 groups: 1) placebo; 2) high-dose BI691751; and 3) low-dose BI691751. All animals were euthanized at the end of the study. RESULTS Among the several metrics that were quantified, only maximum standardized uptake value and target-to-background ratio by 18F-FDG PET showed a modest, but significant, reduction in plaque inflammation in rabbits treated with low-dose BI691751 (p = 0.03), whereas no difference was detected in the high-fat diet and in the high-dose BI691751 groups. No differences in vessel wall area by MRI and area under the curve by DCE-MRI were detected in any of the groups. No differences in neovessel and macrophage density were found at the end of study among groups. CONCLUSIONS The authors present a comprehensive, integrated 18F-FDG PET and DCE-MRI imaging protocol to noninvasively quantify plaque inflammation, neovasculature, permeability, and burden in a rabbit model of atherosclerosis on a simultaneous PET/MRI scanner. A modest reduction was found in plaque inflammation by 18F-FDG PET in the group treated with a low dose of the LTA4H inhibitor BI691751.
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Affiliation(s)
- Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Olivier Lairez
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Cardiology and Cardiac Imaging Center, Rangueil University Hospital, Toulouse, France
| | - Julie Hawkins
- Department of CardioMetabolic Diseases Research, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut
| | - Steven W Kerr
- Department of CardioMetabolic Diseases Research, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut
| | - Melanie S Dugas
- Department of CardioMetabolic Diseases Research, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut
| | - Thomas Simpson
- Department of Chemistry, West Chester University, West Chester, Pennsylvania
| | - Jelle Epskamp
- Academisch Medisch Centrum, Amsterdam, the Netherlands
| | - Philip M Robson
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mootaz Eldib
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ilda Bander
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Purushothaman K-Raman
- Department of Cardiology, Icahn School of Medicine at Mount Sinai New York, New York
| | - Sarayu Ramachandran
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alison Pruzan
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Audrey Kaufman
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Venkatesh Mani
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alexander Ehlgen
- Department of Translational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Heiko G Niessen
- Department of Translational Medicine & Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - John Broadwater
- Department of CardioMetabolic Diseases Research, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.
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12
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Fayad ZA, Swirski FK, Calcagno C, Robbins CS, Mulder W, Kovacic JC. Monocyte and Macrophage Dynamics in the Cardiovascular System: JACC Macrophage in CVD Series (Part 3). J Am Coll Cardiol 2019; 72:2198-2212. [PMID: 30360828 DOI: 10.1016/j.jacc.2018.08.2150] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 07/16/2018] [Accepted: 08/03/2018] [Indexed: 12/12/2022]
Abstract
It has long been recognized that the bone marrow is the primary site of origin for circulating monocytes that may later become macrophages in atherosclerotic lesions. However, only in recent times has the complex relationship among the bone marrow, monocytes/macrophages, and atherosclerotic plaques begun to be understood. Moreover, the systemic nature of these interactions, which also involves additional compartments such as extramedullary hematopoietic sites (i.e., spleen), is only just becoming apparent. In parallel, progressive advances in imaging and cell labeling techniques have opened new opportunities for in vivo imaging of monocyte/macrophage trafficking in atherosclerotic lesions and at the systemic level. In this Part 3 of a 4-part review series covering the macrophage in cardiovascular disease, the authors intersect systemic biology with advanced imaging techniques to explore monocyte and macrophage dynamics in the cardiovascular system, with an emphasis on how events at the systemic level might affect local atherosclerotic plaque biology.
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Affiliation(s)
- Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York; The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Filip K Swirski
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Clinton S Robbins
- Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Peter Munk Cardiac Centre, Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada; Departments of Laboratory Medicine and Pathobiology and Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Willem Mulder
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jason C Kovacic
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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13
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PET/MR Imaging of Malondialdehyde-Acetaldehyde Epitopes With a Human Antibody Detects Clinically Relevant Atherothrombosis. J Am Coll Cardiol 2019; 71:321-335. [PMID: 29348025 DOI: 10.1016/j.jacc.2017.11.036] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 10/22/2017] [Accepted: 11/06/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND Oxidation-specific epitopes (OSEs) are proinflammatory, and elevated levels in plasma predict cardiovascular events. OBJECTIVES The purpose of this study was to develop novel positron emission tomography (PET) probes to noninvasively image OSE-rich lesions. METHODS An antigen-binding fragment (Fab) antibody library was constructed from human fetal cord blood. After multiple rounds of screening against malondialdehyde-acetaldehyde (MAA) epitopes, the Fab LA25 containing minimal nontemplated insertions in the CDR3 region was identified and characterized. In mice, pharmacokinetics, biodistribution, and plaque specificity studies were performed with Zirconium-89 (89Zr)-labeled LA25. In rabbits, 89Zr-LA25 was used in combination with an integrated clinical PET/magnetic resonance (MR) system. 18F-fluorodeoxyglucose PET and dynamic contrast-enhanced MR imaging were used to evaluate vessel wall inflammation and plaque neovascularization, respectively. Extensive ex vivo validation was carried out through a combination of gamma counting, near infrared fluorescence, autoradiography, immunohistochemistry, and immunofluorescence. RESULTS LA25 bound specifically to MAA epitopes in advanced and ruptured human atherosclerotic plaques with accompanying thrombi and in debris from distal protection devices. PET/MR imaging 24 h after injection of 89Zr-LA25 showed increased uptake in the abdominal aorta of atherosclerotic rabbits compared with nonatherosclerotic control rabbits, confirmed by ex vivo gamma counting and autoradiography. 18F-fluorodeoxyglucose PET, dynamic contrast-enhanced MR imaging, and near-infrared fluorescence signals were also significantly higher in atherosclerotic rabbit aortas compared with control aortas. Enhanced liver uptake was also noted in atherosclerotic animals, confirmed by the presence of MAA epitopes by immunostaining. CONCLUSIONS 89Zr-LA25 is a novel PET radiotracer that may allow noninvasive phenotyping of high-risk OSE-rich lesions.
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14
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Lobatto ME, Binderup T, Robson PM, Giesen LFP, Calcagno C, Witjes J, Fay F, Baxter S, Wessel CH, Eldib M, Bini J, Carlin SD, Stroes ESG, Storm G, Kjaer A, Lewis JS, Reiner T, Fayad ZA, Mulder WJM, Pérez-Medina C. Multimodal Positron Emission Tomography Imaging to Quantify Uptake of 89Zr-Labeled Liposomes in the Atherosclerotic Vessel Wall. Bioconjug Chem 2019; 31:360-368. [PMID: 31095372 DOI: 10.1021/acs.bioconjchem.9b00256] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Nanotherapy has recently emerged as an experimental treatment option for atherosclerosis. To fulfill its promise, robust noninvasive imaging approaches for subject selection and treatment evaluation are warranted. To that end, we present here a positron emission tomography (PET)-based method for quantification of liposomal nanoparticle uptake in the atherosclerotic vessel wall. We evaluated a modular procedure to label liposomal nanoparticles with the radioisotope zirconium-89 (89Zr). Their biodistribution and vessel wall targeting in a rabbit atherosclerosis model was evaluated up to 15 days after intravenous injection by PET/computed tomography (CT) and PET/magnetic resonance imaging (PET/MRI). Vascular permeability was assessed in vivo using three-dimensional dynamic contrast-enhanced MRI (3D DCE-MRI) and ex vivo using near-infrared fluorescence (NIRF) imaging. The 89Zr-radiolabeled liposomes displayed a biodistribution pattern typical of long-circulating nanoparticles. Importantly, they markedly accumulated in atherosclerotic lesions in the abdominal aorta, as evident on PET/MRI and confirmed by autoradiography, and this uptake moderately correlated with vascular permeability. The method presented herein facilitates the development of nanotherapy for atherosclerotic disease as it provides a tool to screen for nanoparticle targeting in individual subjects' plaques.
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Affiliation(s)
- Mark E Lobatto
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Department of Radiology , Spaarne Gasthuis , 2035 RC Haarlem , The Netherlands
| | - Tina Binderup
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging , Rigshospitalet & University of Copenhagen , 2100 Copenhagen , Denmark
| | - Philip M Robson
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Luuk F P Giesen
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Julia Witjes
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Francois Fay
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Institut Galien Paris Sud UMR 8612, Faculté de Pharmacie, CNRS, Univ. Paris-Sud Université Paris-Saclay , 92290 Châtenay-Malabry , France
| | - Samantha Baxter
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Chang Ho Wessel
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Mootaz Eldib
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Jason Bini
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Sean D Carlin
- Department of Radiology , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Erik S G Stroes
- Department of Vascular Medicine , Academic Medical Center , 1105 AZ Amsterdam , The Netherlands
| | - Gert Storm
- Department of Targeted Therapeutics, MIRA Institute , University of Twente , 7522 NB Enschede , The Netherlands.,Utrecht Institute for Pharmaceutical Sciences , Utrecht University , 3512 JE Utrecht , The Netherlands
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging , Rigshospitalet & University of Copenhagen , 2100 Copenhagen , Denmark
| | - Jason S Lewis
- Department of Radiology , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States.,Program in Molecular Pharmacology , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Thomas Reiner
- Department of Radiology , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States.,Chemical Biology Program , Memorial Sloan Kettering Cancer Center , New York , New York 10065 , United States
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Willem J M Mulder
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Laboratory of Chemical Biology, Department of Biomedical Engineering and Institute for Complex Molecular Systems , Eindhoven University of Technology , 5612 AZ Eindhoven , The Netherlands.,Department of Oncological Sciences , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Carlos Pérez-Medina
- Translational and Molecular Imaging Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Centro Nacional de Investigaciones Cardiovasculares Carlos III , 28029 Madrid , Spain
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15
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Wang N, Christodoulou AG, Xie Y, Wang Z, Deng Z, Zhou B, Lee S, Fan Z, Chang H, Yu W, Li D. Quantitative 3D dynamic contrast-enhanced (DCE) MR imaging of carotid vessel wall by fast T1 mapping using Multitasking. Magn Reson Med 2018; 81:2302-2314. [PMID: 30368891 DOI: 10.1002/mrm.27553] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 09/05/2018] [Accepted: 09/07/2018] [Indexed: 12/18/2022]
Abstract
PURPOSE To develop a dynamic contrast-enhanced (DCE) MRI method capable of high spatiotemporal resolution, 3D carotid coverage, and T1-based quantification of contrast agent concentration for the assessment of carotid atherosclerosis using a newly developed Multitasking technique. METHODS 5D imaging with 3 spatial dimensions, 1 T1 recovery dimension, and 1 DCE time dimension was performed using MR Multitasking based on low-rank tensor modeling, which allows direct T1 quantification with high spatiotemporal resolution (0.7 mm isotropic and 595 ms, respectively). Saturation recovery preparations followed by 3D segmented fast low angle shot readouts were implemented with Gaussian-density random 3D Cartesian sampling. A bulk motion removal scheme was developed to improve image quality. The proposed protocol was tested in phantom and human studies. In vivo scans were performed on 14 healthy subjects and 7 patients with carotid atherosclerosis. Kinetic parameters including area under the concentration versus time curve (AUC), vp , Ktrans , and ve were evaluated for each case. RESULTS Phantom experiments showed that T1 measurements using the proposed protocol were in good agreement with reference value ( R 2 = 0.96 ). In vivo studies demonstrated that AUC, vp , and Ktrans in the patient group were significantly higher than in the control group (0.63 ± 0.13 versus 0.42 ± 0.12, P < 0.001; 0.14 ± 0.05 versus 0.11 ± 0.03, P = 0.034; and 0.13 ± 0.04 versus 0.08 ± 0.02, P < 0.001, respectively). Results from repeated subjects showed good interscan reproducibility (intraclass correlation coefficient: vp , 0.83; Ktrans , 0.87; ve , 0.92; AUC, 0.94). CONCLUSION Multitasking DCE is a promising approach for quantitatively assessing the vascularity properties of the carotid vessel wall.
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Affiliation(s)
- Nan Wang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Bioengineering, University of California, Los Angeles, California
| | | | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Zhenjia Wang
- Department of Radiology, Anzhen Hospital, Beijing, China
| | - Zixin Deng
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Bill Zhou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,David Geffen School of Medicine, University of California, Los Angeles, California
| | - Sangeun Lee
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Severance Cardiovascular Hospital, Seoul, Korea.,College of Medicine, Yonsei University, Seoul, Korea
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Hyukjae Chang
- Severance Cardiovascular Hospital, Seoul, Korea.,College of Medicine, Yonsei University, Seoul, Korea
| | - Wei Yu
- Department of Radiology, Anzhen Hospital, Beijing, China
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.,Department of Bioengineering, University of California, Los Angeles, California
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16
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Senders ML, Hernot S, Carlucci G, van de Voort JC, Fay F, Calcagno C, Tang J, Alaarg A, Zhao Y, Ishino S, Palmisano A, Boeykens G, Meerwaldt AE, Sanchez-Gaytan BL, Baxter S, Zendman L, Lobatto ME, Karakatsanis NA, Robson PM, Broisat A, Raes G, Lewis JS, Tsimikas S, Reiner T, Fayad ZA, Devoogdt N, Mulder WJM, Pérez-Medina C. Nanobody-Facilitated Multiparametric PET/MRI Phenotyping of Atherosclerosis. JACC Cardiovasc Imaging 2018; 12:2015-2026. [PMID: 30343086 PMCID: PMC6461528 DOI: 10.1016/j.jcmg.2018.07.027] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 06/11/2018] [Accepted: 07/12/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVES This study sought to develop an integrative positron emission tomography (PET) with magnetic resonance imaging (MRI) procedure for accurate atherosclerotic plaque phenotyping, facilitated by clinically approved and nanobody radiotracers. BACKGROUND Noninvasive characterization of atherosclerosis remains a challenge in clinical practice. The limitations of current diagnostic methods demonstrate that, in addition to atherosclerotic plaque morphology and composition, disease activity needs to be evaluated. METHODS We screened 3 nanobody radiotracers targeted to different biomarkers of atherosclerosis progression, namely vascular cell adhesion molecule (VCAM)-1, lectin-like oxidized low-density lipoprotein receptor (LOX)-1, and macrophage mannose receptor (MMR). The nanobodies, initially radiolabeled with copper-64 (64Cu), were extensively evaluated in Apoe–/– mice and atherosclerotic rabbits using a combination of in vivo PET/MRI readouts and ex vivo radioactivity counting, autoradiography, and histological analyses. RESULTS The 3 nanobody radiotracers accumulated in atherosclerotic plaques and displayed short circulation times due to fast renal clearance. The MMR nanobody was selected for labeling with gallium-68 (68Ga), a short-lived radioisotope with high clinical relevance, and used in an ensuing atherosclerosis progression PET/MRI study. Macrophage burden was longitudinally studied by 68Ga-MMR–PET, plaque burden by T2-weighted MRI, and neovascularization by dynamic contrast-enhanced (DCE) MRI. Additionally, inflammation and microcalcifications were evaluated by fluorine-18 (18F)-labeled fluorodeoxyglucose (18F-FDG) and 18F-sodium fluoride (18F-NaF) PET, respectively. We observed an increase in all the aforementioned measures as disease progressed, and the imaging signatures correlated with histopathological features. CONCLUSIONS We have evaluated nanobody-based radiotracers in rabbits and developed an integrative PET/MRI protocol that allows noninvasive assessment of different processes relevant to atherosclerosis progression. This approach allows the multiparametric study of atherosclerosis and can aid in early stage anti-atherosclerosis drug trials.
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Affiliation(s)
- Max L Senders
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medical Biochemistry, Academic Medical Center, Amsterdam, the Netherlands
| | - Sophie Hernot
- In Vivo Cellular and Molecular Imaging Laboratory, Vrije Universiteit Brussel, Brussels, Belgium
| | - Giuseppe Carlucci
- Bernard and Irene Schwarz Center for Biomedical Imaging, New York University, New York, New York; Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Jan C van de Voort
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Francois Fay
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Chemistry, York College of The City University of New York, New York, New York
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jun Tang
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Amr Alaarg
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Biomaterials Science and Technology, Technical Medical Centre. University of Twente, Enschede, the Netherlands
| | - Yiming Zhao
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Seigo Ishino
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anna Palmisano
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Unit of Clinical Research in Radiology, Experimental Imaging Center, San Raffaele Scientific Institute, Milan, Italy
| | - Gilles Boeykens
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anu E Meerwaldt
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Brenda L Sanchez-Gaytan
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Samantha Baxter
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Laura Zendman
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mark E Lobatto
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Nicolas A Karakatsanis
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Philip M Robson
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alexis Broisat
- Bioclinic Radiopharmaceutics Laboratory, Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche S 1039, Grenoble, France
| | - Geert Raes
- Research Group of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium; Laboratory of Myeloid Cell Immunology, Vlaams Instituut voor Biotechnologie Inflammation Research Center, Ghent, Belgium
| | - Jason S Lewis
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sotirios Tsimikas
- Division of Cardiovascular Diseases, Sulpizio Cardiovascular Center, Department of Medicine, University of California-La Jolla, San Diego, California
| | - Thomas Reiner
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Nick Devoogdt
- In Vivo Cellular and Molecular Imaging Laboratory, Vrije Universiteit Brussel, Brussels, Belgium
| | - Willem J M Mulder
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Medical Biochemistry, Academic Medical Center, Amsterdam, the Netherlands.
| | - Carlos Pérez-Medina
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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17
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Usman A, Yuan J, Patterson AJ, Graves MJ, Varty K, Sadat U, Gillard JH. Neovascularization in Vertebral Artery Atheroma—A Dynamic Contrast-Enhanced Magnetic Resonance Imaging-Based Comparative Study in Patients with Symptomatic and Asymptomatic Carotid Artery Disease. J Stroke Cerebrovasc Dis 2018; 27:2505-2512. [DOI: 10.1016/j.jstrokecerebrovasdis.2018.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 05/06/2018] [Indexed: 11/16/2022] Open
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18
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Calcagno C, Fayad ZA. Imaging the Permeable Endothelium: Predicting Plaque Rupture in Atherosclerotic Rabbits. Circ Cardiovasc Imaging 2018; 9:CIRCIMAGING.116.005955. [PMID: 27940960 DOI: 10.1161/circimaging.116.005955] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Claudia Calcagno
- From the Translational and Molecular Imaging Institute (C.C., Z.A.F.) and Department of Radiology (C.C., Z.A.F.), Icahn School of Medicine at Mount Sinai, New York, NY
| | - Zahi A Fayad
- From the Translational and Molecular Imaging Institute (C.C., Z.A.F.) and Department of Radiology (C.C., Z.A.F.), Icahn School of Medicine at Mount Sinai, New York, NY.
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19
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Hua S, de Matos MBC, Metselaar JM, Storm G. Current Trends and Challenges in the Clinical Translation of Nanoparticulate Nanomedicines: Pathways for Translational Development and Commercialization. Front Pharmacol 2018; 9:790. [PMID: 30065653 PMCID: PMC6056679 DOI: 10.3389/fphar.2018.00790] [Citation(s) in RCA: 489] [Impact Index Per Article: 81.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 06/28/2018] [Indexed: 01/02/2023] Open
Abstract
The use of nanotechnology in medicine has the potential to have a major impact on human health for the prevention, diagnosis, and treatment of diseases. One particular aspect of the nanomedicine field which has received a great deal of attention is the design and development of nanoparticulate nanomedicines (NNMs) for drug delivery (i.e., drug-containing nanoparticles). NNMs are intended to deliver drugs via various mechanisms: solubilization, passive targeting, active targeting, and triggered release. The NNM approach aims to increase therapeutic efficacy, decrease the therapeutically effective dose, and/or reduce the risk of systemic side effects. In order to move a NNM from the bench to the bedside, several experimental challenges need to be addressed. This review will discuss the current trends and challenges in the clinical translation of NNMs as well as the potential pathways for translational development and commercialization. Key issues related to the clinical development of NNMs will be covered, including biological challenges, large-scale manufacturing, biocompatibility and safety, intellectual property (IP), government regulations, and overall cost-effectiveness in comparison to current therapies. These factors can impose significant hurdles limiting the appearance of NNMs on the market, irrelevant of whether they are therapeutically beneficial or not.
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Affiliation(s)
- Susan Hua
- Therapeutic Targeting Research Group, School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
| | - Maria B C de Matos
- Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Josbert M Metselaar
- Department of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands.,Department of Experimental Molecular Imaging, RWTH University Clinic Aachen, Aachen, Germany
| | - Gert Storm
- Department of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.,Department of Biomaterials Science and Technology, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands.,Imaging Division, University Medical Centre Utrecht, Utrecht, Netherlands
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20
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Senders ML, Lobatto ME, Soler R, Lairez O, Pérez-Medina C, Calcagno C, Fayad ZA, Mulder WJM, Fay F. Development and Multiparametric Evaluation of Experimental Atherosclerosis in Rabbits. Methods Mol Biol 2018; 1816:385-400. [PMID: 29987836 DOI: 10.1007/978-1-4939-8597-5_30] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Several animal models have been developed to study atherosclerosis. Here we present a rabbit atherosclerosis model generated by surgical denudation of the aortic endothelium in combination with a high-fat and cholesterol-enriched diet. This model is characterized by the formation of vascular lesions that exhibit several hallmarks of human atherosclerosis. Due to the rabbit's relative large size, as compared to rodents, this model is suited for the imaging-guided evaluation of novel therapeutic strategies using clinical scanners. In this chapter, we present an extensive outline of the procedures to induce aortic atherosclerotic lesions in rabbits as well as methods to evaluate the disease, including noninvasive in vivo multiparametric imaging and histopathology.
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Affiliation(s)
- Max L Senders
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medical Biochemistry, Academic Medical Center, Amsterdam, The Netherlands
| | - Mark E Lobatto
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Raphael Soler
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Vascular and Endovascular Surgery, Timone Hospital, Marseille, France
| | - Olivier Lairez
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Cardiac Imaging Center, University Hospital of Toulouse, Toulouse, France
| | - Carlos Pérez-Medina
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Willem J M Mulder
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Medical Biochemistry, Academic Medical Center, Amsterdam, The Netherlands
| | - Francois Fay
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Chemistry and Pharmaceutical Science, York College of the City University of New York, Jamaica, NY, USA.
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21
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Alkhlaif Y, Bagdas D, Jackson A, Park AJ, Damaj IM. Assessment of nicotine withdrawal-induced changes in sucrose preference in mice. Pharmacol Biochem Behav 2017; 161:47-52. [PMID: 28919072 PMCID: PMC6408212 DOI: 10.1016/j.pbb.2017.08.013] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 08/24/2017] [Accepted: 08/27/2017] [Indexed: 12/11/2022]
Abstract
Anhedonia, induced by nicotine withdrawal, may serve as an important affective sign that reinforces tobacco use and smoking relapse rates in humans. Animal models provide a way to investigate the underlying neurobiological factors involved in the decrease in responding for positive affective stimuli during nicotine withdrawal and may aid in drug development for nicotine dependence. Thus, we explored the use of the sucrose preference test to measure nicotine withdrawal-induced reduction in response for positive affective stimuli in mice. C57BL/6J and knockout (KO) mice were chronically exposed to different doses of nicotine through surgically implanted subcutaneous osmotic minipumps for 14days and underwent spontaneous nicotine withdrawal on day 15. A sucrose preference time course was performed and the results were compared to another well-established affective sign of nicotine withdrawal, the reduction in time spent in light side, using the Light Dark Box test. Subsequently, our results demonstrated a time-dependent and dose-related reduction in sucrose preference in nicotine withdrawn male C57BL/6J mice, indicative of a decrease in responding for positive affective stimuli. Furthermore, the sucrose preference reduction during nicotine withdrawal was consistent with decrease in time spent in the light side of the Light Dark Box test. We also found the reduction for positive affective stimuli and time spent in the light side was not present in nicotine withdrawn β2 and α6 KO mice, suggesting that these nicotinic subunits are involved in the affective signs of nicotine withdrawal. Thus, this report highlights the potential utility of the sucrose preference test as a useful measure of the decrease in responding for positive affective stimuli during spontaneous nicotine withdrawal.
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Affiliation(s)
- Yasmin Alkhlaif
- Department of Pharmacology and Toxicology, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298-0613, USA.
| | - Deniz Bagdas
- Department of Pharmacology and Toxicology, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298-0613, USA
| | - Asti Jackson
- Department of Pharmacology and Toxicology, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298-0613, USA
| | - Abigail J Park
- Department of Pharmacology and Toxicology, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298-0613, USA
| | - Imad M Damaj
- Department of Pharmacology and Toxicology, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA 23298-0613, USA
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22
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Coolen BF, Calcagno C, van Ooij P, Fayad ZA, Strijkers GJ, Nederveen AJ. Vessel wall characterization using quantitative MRI: what's in a number? MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:201-222. [PMID: 28808823 PMCID: PMC5813061 DOI: 10.1007/s10334-017-0644-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 07/04/2017] [Accepted: 07/18/2017] [Indexed: 12/15/2022]
Abstract
The past decade has witnessed the rapid development of new MRI technology for vessel wall imaging. Today, with advances in MRI hardware and pulse sequences, quantitative MRI of the vessel wall represents a real alternative to conventional qualitative imaging, which is hindered by significant intra- and inter-observer variability. Quantitative MRI can measure several important morphological and functional characteristics of the vessel wall. This review provides a detailed introduction to novel quantitative MRI methods for measuring vessel wall dimensions, plaque composition and permeability, endothelial shear stress and wall stiffness. Together, these methods show the versatility of non-invasive quantitative MRI for probing vascular disease at several stages. These quantitative MRI biomarkers can play an important role in the context of both treatment response monitoring and risk prediction. Given the rapid developments in scan acceleration techniques and novel image reconstruction, we foresee the possibility of integrating the acquisition of multiple quantitative vessel wall parameters within a single scan session.
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Affiliation(s)
- Bram F Coolen
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands. .,Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pim van Ooij
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
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Abstract
Objective To investigate the effect of a heart rate (HR) lowering agent (Ivabradine) on features of atherosclerotic plaque vulnerability with magnetic resonance imaging (MRI), ultrasound imaging, and histology. Approach and results Atherosclerosis was induced in the abdominal aorta of 19 rabbits. Nine rabbits were treated with Ivabradine (17 mg/kg/day) during the entire study period. At week 14, imaging was performed. Plaque size was quantified on contrast-enhanced T1-weighted MR images. Microvascular flow, density, and permeability was studied with dynamic contrast-enhanced MRI. Plaque biomechanics was studied by measuring the aortic distension with ultrasound. After, animals were sacrificed and histology was performed. HR was reduced by 16% (p = 0.026) in Ivabradine-treated animals. No differences in absolute and relative vessel wall beat-to-beat distension were found, but due to the reduction in HR, the frequency of the biomechanical load on the plaque was reduced. Plaque size (MR and histology) was similar between groups. Although microvessel density (histology) was similar between groups, AUC and Ktrans, indicative for plaque microvasculature flow, density, and permeability, were decreased by 24% (p = 0.029) and 32% (p = 0.037), respectively. Macrophage content (relative RAM11 positive area) was reduced by 44% (p<0.001) on histology in Ivabradine-treated animals. Conclusions HR lowering treatment with Ivabradine in an atherosclerotic rabbit model is associated with a reduction in vulnerable plaque features. The current study suggests that HR reduction may be beneficial for inducing or maintaining a more stable plaque phenotype.
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Ge X, Zhou Z, Zhao H, Li X, Sun B, Suo S, Hackett ML, Wan J, Xu J, Liu X. Evaluation of carotid plaque vulnerability in vivo: Correlation between dynamic contrast-enhanced MRI and MRI-modified AHA classification. J Magn Reson Imaging 2017; 46:870-876. [PMID: 28120364 DOI: 10.1002/jmri.25637] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/03/2017] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To noninvasively monitor carotid plaque vulnerability by exploring the relationship between pharmacokinetic parameters (PPs) of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and plaque types based on MRI-modified American Heart Association (AHA) classification, as well as to assess the ability of PPs in discrimination between stable and vulnerable plaques suspected on MRI. MATERIALS AND METHODS Of 70 consecutive patients with carotid plaques who volunteered for 3.0T MRI (3D time-of-flight [TOF], T1 -weighted, T2 -weighted, 3D magnetization-prepared rapid acquisition gradient-echo [MP-RAGE] and DCE-MRI), 66 participants were available for analysis. After plaque classification according to MRI-modified AHA Lesion-Type (LT), PPs (Ktrans , kep , ve , and vp ) of DCE-MRI were measured. The Extended Tofts model was used for calculation of PPs. For participants with multiple carotid plaques, the plaque with the worst MRI-modified AHA LT was chosen for analysis. Correlations between PPs and plaque types and the ability of these parameters to distinguish stable and vulnerable plaques suspected on MRI were assessed. RESULTS Significant positive correlation between Ktrans and LT III to VI was found (ρ = 0.532, P < 0.001), as was the correlation between kep and LT III to VI (ρ = 0.409, P < 0.001). Stable and vulnerable plaques suspected on MRI could potentially be distinguished by Ktrans (sensitivity 83%, specificity 100%) and kep (sensitivity 77%, specificity 91%). CONCLUSION Ktrans and kep from DCE-MRI can provide quantitative information to monitor plaque vulnerability in vivo and differentiate vulnerable plaques suspected on MRI from stable ones. These two parameters could be adopted as imaging biomarkers for plaque characterization and risk stratification. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:870-876.
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Affiliation(s)
- Xiaoqian Ge
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Zien Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Huilin Zhao
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Xiao Li
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Beibei Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Shiteng Suo
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Maree L Hackett
- Neurological & Mental Health Division, George Institute for Global Health, University of Sydney, Sydney, Australia
| | - Jieqing Wan
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Jianrong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Xiaosheng Liu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
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van Hoof RHM, Heeneman S, Wildberger JE, Kooi ME. Dynamic Contrast-Enhanced MRI to Study Atherosclerotic Plaque Microvasculature. Curr Atheroscler Rep 2016; 18:33. [PMID: 27115144 PMCID: PMC4846686 DOI: 10.1007/s11883-016-0583-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Rupture of a vulnerable atherosclerotic plaque of the carotid artery is an important underlying cause of clinical ischemic events, such as stroke. Abundant microvasculature has been identified as an important aspect contributing to plaque vulnerability. Plaque microvasculature can be studied non-invasively with dynamic contrast-enhanced (DCE-)MRI in animals and patients. In recent years, several DCE-MRI studies have been published evaluating the association between microvasculature and other key features of plaque vulnerability (e.g., inflammation and intraplaque hemorrhage), as well as the effects of novel therapeutic interventions. The present paper reviews this literature, focusing on DCE-MRI methods of acquisition and analysis of atherosclerotic plaques, the current state and future potential of DCE-MRI in the evaluation of plaque microvasculature in clinical and preclinical settings.
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Affiliation(s)
- Raf H. M. van Hoof
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
| | - Sylvia Heeneman
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
- />Department of Pathology, Maastricht University Medical Center (MUMC), P.O. Box 5800, Maastricht, 6202 AZ The Netherlands
| | - Joachim E. Wildberger
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
| | - M. Eline Kooi
- />Department of Radiology, Maastricht University Medical Center (MUMC), P.O. Box 5800, 6202 AZ Maastricht, The Netherlands
- />CARIM School for Cardiovascular Diseases, Maastricht University, P.O. Box 616, Maastricht, 6200 MD The Netherlands
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de Vries MR, Quax PHA. Plaque angiogenesis and its relation to inflammation and atherosclerotic plaque destabilization. Curr Opin Lipidol 2016; 27:499-506. [PMID: 27472406 DOI: 10.1097/mol.0000000000000339] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW The review discusses the recent literature on plaque angiogenesis and its relation to inflammation and plaque destabilization. Furthermore, it discusses how plaque angiogenesis can be used to monitor atherosclerosis and serve as a therapeutic target. RECENT FINDINGS Histopathologic studies have shown a clear relationship between plaque angiogenesis, intraplaque hemorrhage (IPH), plaque vulnerability, and cardiovascular events. Hypoxia is a main driver of plaque angiogenesis and the mechanism behind angiogenesis is only partly known. IPH, as the result of immature neovessels, is associated with increased influx of inflammatory cells in the plaques. Experimental models displaying certain features of human atherosclerosis such as plaque angiogenesis or IPH are developed and can contribute to unraveling the mechanism behind plaque vulnerability. New imaging techniques are established, with which plaque angiogenesis and vulnerability can be detected. Furthermore, antiangiogenic therapies in atherosclerosis gain much attention. SUMMARY Plaque angiogenesis, IPH, and inflammation contribute to plaque vulnerability. Histopathologic and imaging studies together with specific experimental studies have provided insights in plaque angiogenesis and plaque vulnerability. However, more extensive knowledge on the underlying mechanism is required for establishing new therapies for patients at risk.
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Affiliation(s)
- Margreet R de Vries
- Department of Surgery, Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
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