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Li B, Shaikh F, Zamzam A, Syed MH, Abdin R, Qadura M. The Identification and Evaluation of Interleukin-7 as a Myokine Biomarker for Peripheral Artery Disease Prognosis. J Clin Med 2024; 13:3583. [PMID: 38930112 PMCID: PMC11205196 DOI: 10.3390/jcm13123583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/13/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Background/Objectives: Myokines have been demonstrated to be associated with cardiovascular diseases; however, they have not been studied as biomarkers for peripheral artery disease (PAD). We identified interleukin-7 (IL-7) as a prognostic biomarker for PAD from a panel of myokines and developed predictive models for 2-year major adverse limb events (MALEs) using clinical features and plasma IL-7 levels. Methods: A prognostic study was conducted with a cohort of 476 patients (312 with PAD and 164 without PAD) that were recruited prospectively. Their plasma concentrations of five circulating myokines were measured at recruitment, and the patients were followed for two years. The outcome of interest was two-year MALEs (composite of major amputation, vascular intervention, or acute limb ischemia). Cox proportional hazards analysis was performed to identify IL-7 as the only myokine that was associated with 2-year MALEs. The data were randomly divided into training (70%) and test sets (30%). A random forest model was trained using clinical characteristics (demographics, comorbidities, and medications) and plasma IL-7 levels with 10-fold cross-validation. The primary model evaluation metric was the F1 score. The prognostic model was used to classify patients into low vs. high risk of developing adverse limb events based on the Youden Index. Freedom from MALEs over 2 years was compared between the risk-stratified groups using Cox proportional hazards analysis. Results: Two-year MALEs occurred in 28 (9%) of patients with PAD. IL-7 was the only myokine that was statistically significantly correlated with two-year MALE (HR 1.56 [95% CI 1.12-1.88], p = 0.007). For the prognosis of 2-year MALEs, our model achieved an F1 score of 0.829 using plasma IL-7 levels in combination with clinical features. Patients classified as high-risk by the predictive model were significantly more likely to develop MALEs over a 2-year period (HR 1.66 [95% CI 1.22-1.98], p = 0.006). Conclusions: From a panel of myokines, IL-7 was identified as a prognostic biomarker for PAD. Using a combination of clinical characteristics and plasma IL-7 levels, we propose an accurate predictive model for 2-year MALEs in patients with PAD. Our model may support PAD risk stratification, guiding clinical decisions on additional vascular evaluation, specialist referrals, and medical/surgical management, thereby improving outcomes.
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Affiliation(s)
- Ben Li
- Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada;
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, 30 Bond Street, Suite 7-076, Toronto, ON M5B 1W8, Canada; (F.S.); (A.Z.); (M.H.S.)
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A1, Canada
- Temerty Centre for Artificial Intelligence Research and Education in Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Farah Shaikh
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, 30 Bond Street, Suite 7-076, Toronto, ON M5B 1W8, Canada; (F.S.); (A.Z.); (M.H.S.)
| | - Abdelrahman Zamzam
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, 30 Bond Street, Suite 7-076, Toronto, ON M5B 1W8, Canada; (F.S.); (A.Z.); (M.H.S.)
| | - Muzammil H. Syed
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, 30 Bond Street, Suite 7-076, Toronto, ON M5B 1W8, Canada; (F.S.); (A.Z.); (M.H.S.)
| | - Rawand Abdin
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada;
| | - Mohammad Qadura
- Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada;
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, 30 Bond Street, Suite 7-076, Toronto, ON M5B 1W8, Canada; (F.S.); (A.Z.); (M.H.S.)
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A1, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON M5B 1W8, Canada
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Sheppard AJ, Theng EH, Paravastu SS, Wojnowski NM, Farhadi F, Morris MA, Hartley IR, Rachel IG, Roszko KL, Collins MT, Saboury B. Spatial Atlas for Mapping Vascular Microcalcification Using 18F-NaF PET/CT: Application in Hyperphosphatemic Familial Tumoral Calcinosis. Arterioscler Thromb Vasc Biol 2024; 44:1432-1446. [PMID: 38660800 PMCID: PMC11111330 DOI: 10.1161/atvbaha.123.320455] [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: 12/18/2023] [Accepted: 03/28/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Vascular calcification causes significant morbidity and occurs frequently in diseases of calcium/phosphate imbalance. Radiolabeled sodium fluoride positron emission tomography/computed tomography has emerged as a sensitive and specific method for detecting and quantifying active microcalcifications. We developed a novel technique to quantify and map total vasculature microcalcification to a common space, allowing simultaneous assessment of global disease burden and precise tracking of site-specific microcalcifications across time and individuals. METHODS To develop this technique, 4 patients with hyperphosphatemic familial tumoral calcinosis, a monogenic disorder of FGF23 (fibroblast growth factor-23) deficiency with a high prevalence of vascular calcification, underwent radiolabeled sodium fluoride positron emission tomography/computed tomography imaging. One patient received serial imaging 1 year after treatment with an IL-1 (interleukin-1) antagonist. A radiolabeled sodium fluoride-based microcalcification score, as well as calcification volume, was computed at all perpendicular slices, which were then mapped onto a standardized vascular atlas. Segment-wise mCSmean and mCSmax were computed to compare microcalcification score levels at predefined vascular segments within subjects. RESULTS Patients with hyperphosphatemic familial tumoral calcinosis had notable peaks in microcalcification score near the aortic bifurcation and distal femoral arteries, compared with a control subject who had uniform distribution of vascular radiolabeled sodium fluoride uptake. This technique also identified microcalcification in a 17-year-old patient, who had no computed tomography-defined calcification. This technique could not only detect a decrease in microcalcification score throughout the patient treated with an IL-1 antagonist but it also identified anatomic areas that had increased responsiveness while there was no change in computed tomography-defined macrocalcification after treatment. CONCLUSIONS This technique affords the ability to visualize spatial patterns of the active microcalcification process in the peripheral vasculature. Further, this technique affords the ability to track microcalcifications at precise locations not only across time but also across subjects. This technique is readily adaptable to other diseases of vascular calcification and may represent a significant advance in the field of vascular biology.
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Affiliation(s)
- Aaron J Sheppard
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
- Louisiana State University Health Shreveport, School of Medicine, Shreveport, LA, 71103
| | - Elizabeth H Theng
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
- Department of Radiology, Stanford School of Medicine, Stanford, CA, 94304
| | - Sriram S Paravastu
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
- University of Missouri – Kansas City School of Medicine, Kansas City, MO, 64108
| | - Natalia M Wojnowski
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
- Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611
| | - Faraz Farhadi
- Radiology and Imaging Sciences, Clinical Center, NIH, Bethesda, MD, 20892
- Geisel School of Medicine, Dartmouth, Hanover, NH, 03755
- Institute of Nuclear Medicine, Bethesda, MD, USA
| | | | - Iris R Hartley
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
| | - I Gafni Rachel
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
| | - Kelly L Roszko
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
| | - Michael T Collins
- National Institutes of Dental and Craniofacial Research, NIH, Bethesda, MD, 20892
| | - Babak Saboury
- Radiology and Imaging Sciences, Clinical Center, NIH, Bethesda, MD, 20892
- Institute of Nuclear Medicine, Bethesda, MD, USA
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Li B, Nassereldine R, Zamzam A, Syed MH, Mamdani M, Al-Omran M, Abdin R, Qadura M. Development and evaluation of a prediction model for peripheral artery disease-related major adverse limb events using novel biomarker data. J Vasc Surg 2024:S0741-5214(24)00951-0. [PMID: 38599293 DOI: 10.1016/j.jvs.2024.03.450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/26/2024] [Accepted: 03/31/2024] [Indexed: 04/12/2024]
Abstract
OBJECTIVE Prognostic tools for individuals with peripheral artery disease (PAD) remain limited. We developed prediction models for 3-year PAD-related major adverse limb events (MALE) using demographic, clinical, and biomarker data previously validated by our group. METHODS We performed a prognostic study using a prospectively recruited cohort of patients with PAD (n = 569). Demographic/clinical data were recorded including sex, age, comorbidities, previous procedures, and medications. Plasma concentrations of three biomarkers (N-terminal pro-B-type natriuretic peptide [NT-proBNP], fatty acid binding protein 3 [FABP3], and FABP4) were measured at baseline. The cohort was followed for 3 years. MALE was the primary outcome (composite of open/endovascular vascular intervention or major amputation). We trained three machine learning models with 10-fold cross-validation using demographic, clinical, and biomarker data (random forest, decision trees, and Extreme Gradient Boosting [XGBoost]) to predict 3-year MALE in patients. Area under the receiver operating characteristic curve (AUROC) was the primary model evaluation metric. RESULTS Three-year MALE was observed in 162 patients (29%). XGBoost was the top-performing predictive model for 3-year MALE, achieving the following performance metrics: AUROC = 0.88 (95% confidence interval [CI], 0.84-0.94); sensitivity, 88%; specificity, 84%; positive predictive value, 83%; and negative predictive value, 91% on test set data. On an independent validation cohort of patients with PAD, XGBoost attained an AUROC of 0.87 (95% CI, 0.82-0.90). The 10 most important predictors of 3-year MALE consisted of: (1) FABP3; (2) FABP4; (3) age; (4) NT-proBNP; (5) active smoking; (6) diabetes; (7) hypertension; (8) dyslipidemia; (9) coronary artery disease; and (10) sex. CONCLUSIONS We built robust machine learning algorithms that accurately predict 3-year MALE in patients with PAD using demographic, clinical, and novel biomarker data. Our algorithms can support risk stratification of patients with PAD for additional vascular evaluation and early aggressive medical management, thereby improving outcomes. Further validation of our models for clinical implementation is warranted.
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Affiliation(s)
- Ben Li
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Toronto, Ontario, Canada
| | - Rakan Nassereldine
- Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Division of Vascular Surgery, American University of Beirut Medical Center, Beirut, Lebanon
| | - Abdelrahman Zamzam
- Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Muzammil H Syed
- Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
| | - Muhammad Mamdani
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Toronto, Ontario, Canada; Data Science & Advanced Analytics, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, University of Toronto, Toronto, Ontario, Canada; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Mohammed Al-Omran
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Department of Surgery, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Rawand Abdin
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Mohammad Qadura
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada.
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4
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Li B, Shaikh F, Zamzam A, Syed MH, Abdin R, Qadura M. A machine learning algorithm for peripheral artery disease prognosis using biomarker data. iScience 2024; 27:109081. [PMID: 38361633 PMCID: PMC10867451 DOI: 10.1016/j.isci.2024.109081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/11/2024] [Accepted: 01/26/2024] [Indexed: 02/17/2024] Open
Abstract
Peripheral artery disease (PAD) biomarkers have been studied in isolation; however, an algorithm that considers a protein panel to inform PAD prognosis may improve predictive accuracy. Biomarker-based prediction models were developed and evaluated using a model development (n = 270) and prospective validation cohort (n = 277). Plasma concentrations of 37 proteins were measured at baseline and the patients were followed for 2 years. The primary outcome was 2-year major adverse limb event (MALE; composite of vascular intervention or major amputation). Of the 37 proteins tested, 6 were differentially expressed in patients with vs. without PAD (ADAMTS13, ICAM-1, ANGPTL3, Alpha 1-microglobulin, GDF15, and endostatin). Using 10-fold cross-validation, we developed a random forest machine learning model that accurately predicts 2-year MALE in a prospective validation cohort of PAD patients using a 6-protein panel (AUROC 0.84). This algorithm can support PAD risk stratification, informing clinical decisions on further vascular evaluation and management.
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Affiliation(s)
- Ben Li
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Toronto, ON, Canada
| | - Farah Shaikh
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
| | - Abdelrahman Zamzam
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
| | - Muzammil H. Syed
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
| | - Rawand Abdin
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Mohammad Qadura
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Division of Vascular Surgery, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada
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5
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Chamaani S, Sachs J, Prokhorova A, Smeenk C, Wegner TE, Helbig M. Microwave Angiography by Ultra-Wideband Sounding: A Preliminary Investigation. Diagnostics (Basel) 2023; 13:2950. [PMID: 37761317 PMCID: PMC10528261 DOI: 10.3390/diagnostics13182950] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/02/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
Angiography is a very informative method for physicians such as cardiologists, neurologists and neuroscientists. The current modalities experience some shortages, e.g., ultrasound is very operator dependent. The computerized tomography (CT) and magnetic resonance (MR) angiography are very expensive and near infrared spectroscopy cannot capture the deep arteries. Microwave technology has the potential to address some of these issues while compromising between operator dependency, cost, speed, penetration depth and resolution. This paper studies the feasibility of microwave signals for monitoring of arteries. To this aim, a homogenous phantom mimicking body tissue is built. Four elastic tubes simulate arteries and a mechanical system creates pulsations in these arteries. A multiple input multiple output (MIMO) array of ultra-wideband (UWB) transmitters and receivers illuminates the phantom and captures the reflected signals over the desired observation time period. Since we are only interested in the imaging of dynamic parts, i.e., arteries, the static clutters can be suppressed easily by background subtraction method. To obtain a fast image of arteries, which are pulsating with the heartbeat rate, we calculate the Fourier transform of each channel of the MIMO system over the observation time and apply delay and sum (DAS) beamforming method on the heartbeat rate aligned spectral component. The results show that the lateral and longitudinal images and motion mode (M-mode) time series of different points of phantom have the potential to be used for diagnosis.
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Affiliation(s)
- Somayyeh Chamaani
- Time Domain Electromagnetics Laboratory, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran 16317, Iran
| | - Jürgen Sachs
- Electronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany; (J.S.); (C.S.); (T.E.W.)
- ILMSENS GmbH, 98693 Ilmenau, Germany
| | - Alexandra Prokhorova
- Biosignal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany;
| | - Carsten Smeenk
- Electronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany; (J.S.); (C.S.); (T.E.W.)
| | - Tim Erich Wegner
- Electronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany; (J.S.); (C.S.); (T.E.W.)
| | - Marko Helbig
- Biosignal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany;
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Zhou T, Zha M, Tang H, Li K, Jiang X. Controlling NIR-II emitting gold organic/inorganic nanohybrids with tunable morphology and surface PEG density for dynamic visualization of vascular dysfunction. Chem Sci 2023; 14:8842-8849. [PMID: 37621431 PMCID: PMC10445439 DOI: 10.1039/d3sc02290k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/16/2023] [Indexed: 08/26/2023] Open
Abstract
Luminescent Au nanoparticles (AuNPs) and their organic/inorganic nanohybrids are of interest due to their favorable properties and promising biomedical applications. However, most existing AuNP-based hybrid nanostructures cannot satisfy high efficiency in synthesis, deep tissue penetration, and long blood circulation simultaneously, thus cannot be employed in dynamic monitoring of biomedical applications. In this paper, using Pluronic F127 as a template, we report a robust approach for one-pot synthesis of AuNP-based organic/inorganic nanohybrids (AuNHs) with bright luminescence in the second near-infrared (NIR-II) window, tunable shape, and controllable surface polyethylene glycol (PEG) density. The nanohybrids could be controlled from a necklace-like shape with a dense brush PEG configuration to a spherical structure with a brush PEG coating, which greatly impacts the in vivo biological behavior. Compared to spherical AuNHs, the necklace-shaped AuNHs present a higher quantum yield and longer blood circulation, which are superior to most of the individual AuNPs. With these outstanding features, the necklace-shaped AuNHs could achieve real-time, dynamic visualization of vascular dysfunction, capable of directing the precise administration of thrombolytics (a medicine for the breakdown of blood clots). These findings could provide a powerful guide for designing novel NIR-II nanoprobes toward in vivo dynamic information visualization.
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Affiliation(s)
- Tingyao Zhou
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology No. 1088 Xueyuan Rd, Nanshan District Shenzhen Guangdong 518055 P. R. China
- Institute for Advanced Study, Shenzhen University No. 3688 Nanhai Avenue, Nanshan District Shenzhen Guangdong 518060 P. R. China
| | - Menglei Zha
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology No. 1088 Xueyuan Rd, Nanshan District Shenzhen Guangdong 518055 P. R. China
| | - Hao Tang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology No. 1088 Xueyuan Rd, Nanshan District Shenzhen Guangdong 518055 P. R. China
| | - Kai Li
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology No. 1088 Xueyuan Rd, Nanshan District Shenzhen Guangdong 518055 P. R. China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology No. 1088 Xueyuan Rd, Nanshan District Shenzhen Guangdong 518055 P. R. China
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7
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Neffeová K, Olejníčková V, Naňka O, Kolesová H. Development and diseases of the coronary microvasculature and its communication with the myocardium. WIREs Mech Dis 2022; 14:e1560. [DOI: 10.1002/wsbm.1560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 04/12/2022] [Accepted: 04/27/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Kristýna Neffeová
- Institute of Anatomy, First Faculty of Medicine Charles University Prague Czech Republic
| | - Veronika Olejníčková
- Institute of Anatomy, First Faculty of Medicine Charles University Prague Czech Republic
- Institute of Physiology Czech Academy of Science Prague Czech Republic
| | - Ondřej Naňka
- Institute of Anatomy, First Faculty of Medicine Charles University Prague Czech Republic
| | - Hana Kolesová
- Institute of Anatomy, First Faculty of Medicine Charles University Prague Czech Republic
- Institute of Physiology Czech Academy of Science Prague Czech Republic
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Gimnich OA, Zil-E-Ali A, Brunner G. Imaging Approaches to the Diagnosis of Vascular Diseases. Curr Atheroscler Rep 2022; 24:85-96. [PMID: 35080717 DOI: 10.1007/s11883-022-00988-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Vascular imaging is a complex field including numerous modalities and imaging markers. This review is focused on important and recent findings in atherosclerotic carotid artery plaque imaging with an emphasis on developments in magnetic resonance imaging (MRI) and computed tomography (CT). RECENT FINDINGS Recent evidence shows that carotid plaque characteristics and not only established measures of carotid plaque burden and stenosis are associated independently with cardiovascular outcomes. On carotid MRI, the presence of a lipid-rich necrotic core (LRNC) has been associated with incident cardiovascular disease (CVD) events independent of wall thickness, a traditional measure of plaque burden. On carotid MRI, intraplaque hemorrhage (IPH) presence has been identified as an independent predictor of stroke. The presence of a fissured carotid fibrous cap has been associated with contrast enhancement on CT angiography imaging. Carotid artery plaque characteristics have been associated with incident CVD events, and advanced plaque imaging techniques may gain additional prominence in the clinical treatment decision process.
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Affiliation(s)
- Olga A Gimnich
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Ahsan Zil-E-Ali
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Gerd Brunner
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA.
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Gounis MJ, Steinman DA. Up around the bend: progress and promise of intravascular imaging in neurointerventional surgery. J Neurointerv Surg 2021; 13:495-496. [PMID: 33986130 DOI: 10.1136/neurintsurg-2021-017707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2021] [Indexed: 01/03/2023]
Affiliation(s)
- Matthew J Gounis
- Radiology, New England Center for Stroke Research, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - David A Steinman
- Mechanical & Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
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10
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Guo B, Li Z, Tu P, Tang H, Tu Y. Molecular Imaging and Non-molecular Imaging of Atherosclerotic Plaque Thrombosis. Front Cardiovasc Med 2021; 8:692915. [PMID: 34291095 PMCID: PMC8286992 DOI: 10.3389/fcvm.2021.692915] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/08/2021] [Indexed: 12/11/2022] Open
Abstract
Thrombosis in the context of atherosclerosis typically results in life-threatening consequences, including acute coronary events and ischemic stroke. As such, early detection and treatment of thrombosis in atherosclerosis patients is essential. Clinical diagnosis of thrombosis in these patients is typically based upon a combination of imaging approaches. However, conventional imaging modalities primarily focus on assessing the anatomical structure and physiological function, severely constraining their ability to detect early thrombus formation or the processes underlying such pathology. Recently, however, novel molecular and non-molecular imaging strategies have been developed to assess thrombus composition and activity at the molecular and cellular levels more accurately. These approaches have been successfully used to markedly reduce rates of atherothrombotic events in patients suffering from acute coronary syndrome (ACS) by facilitating simultaneous diagnosis and personalized treatment of thrombosis. Moreover, these modalities allow monitoring of plaque condition for preventing plaque rupture and associated adverse cardiovascular events in such patients. Sustained developments in molecular and non-molecular imaging technologies have enabled the increasingly specific and sensitive diagnosis of atherothrombosis in animal studies and clinical settings, making these technologies invaluable to patients' health in the future. In the present review, we discuss current progress regarding the non-molecular and molecular imaging of thrombosis in different animal studies and atherosclerotic patients.
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Affiliation(s)
- Bingchen Guo
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhaoyue Li
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Peiyang Tu
- College of Clinical Medicine, Hubei University of Science and Technology, Xianning, China
| | - Hao Tang
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yingfeng Tu
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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11
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Godo S, Suda A, Takahashi J, Yasuda S, Shimokawa H. Coronary Microvascular Dysfunction. Arterioscler Thromb Vasc Biol 2021; 41:1625-1637. [PMID: 33761763 DOI: 10.1161/atvbaha.121.316025] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Shigeo Godo
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (S.G., A.S., J.T., S.Y., H.S.)
| | - Akira Suda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (S.G., A.S., J.T., S.Y., H.S.)
| | - Jun Takahashi
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (S.G., A.S., J.T., S.Y., H.S.)
| | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan (S.G., A.S., J.T., S.Y., H.S.)
| | - Hiroaki Shimokawa
- Graduate School, International University of Health and Welfare, Narita, Japan (H.S.)
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