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Gao P, Liu Y, Wang X, Feng X, Liu H, Liu S, Huang X, Wu X, Xiong F, Jia X, Hui H, Jiang J, Tian J. Adhesion molecule-targeted magnetic particle imaging nanoprobe for visualization of inflammation in acute lung injury. Eur J Nucl Med Mol Imaging 2024; 51:1233-1245. [PMID: 38095676 DOI: 10.1007/s00259-023-06550-4] [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: 08/26/2023] [Accepted: 11/27/2023] [Indexed: 03/22/2024]
Abstract
PURPOSE Uncontrolled intra-alveolar inflammation is a central pathogenic feature, and its severity translates into a valid prognostic indicator of acute lung injury (ALI). Unfortunately, current clinical imaging approaches are unsuitable for visualizing and quantifying intra-alveolar inflammation. This study aimed to construct a small-sized vascular cell adhesion molecule-1 (VCAM-1)-targeted magnetic particle imaging (MPI) nanoprobe (ESPVPN) to visualize and accurately quantify intra-alveolar inflammation at the molecular level. METHODS ESPVPN was engineered by conjugating a peptide (VHPKQHRGGSK(Cy7)GC) onto a polydopamine-functionalized superparamagnetic iron oxide core. The MPI performance, targeting, and biosafety of the ESPVPN were characterized. VCAM-1 expression in HUVECs and mouse models was evaluated by western blot. The degree of inflammation and distribution of VCAM-1 in the lungs were assessed using histopathology. The expression of pro-inflammatory markers and VCAM-1 in lung tissue lysates was measured using ELISA. After intravenous administration of ESPVPN, MPI and CT imaging were used to analyze the distribution of ESPVPN in the lungs of the LPS-induced ALI models. RESULTS The small-sized (~10 nm) ESPVPN exhibited superior MPI performance compared to commercial MagImaging® and Vivotrax, and ESPVPN had effective targeting and biosafety. VCAM-1 was highly expressed in LPS-induced ALI mice. VCAM-1 expression was positively correlated with the LPS-induced dose (R = 0.9381). The in vivo MPI signal showed positive correlations with both VCAM-1 expression (R = 0.9186) and representative pro-inflammatory markers (MPO, TNF-α, IL-6, IL-8, and IL-1β, R > 0.7). CONCLUSION ESPVPN effectively targeted inflammatory lungs and combined the advantages of MPI quantitative imaging to visualize and evaluate the degree of ALI inflammation.
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Affiliation(s)
- Pengli Gao
- School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Yu Liu
- School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoli Wang
- School of Medical Imaging, Weifang Medical University, Weifang, 261053, China
| | - Xin Feng
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Heng Liu
- Department of Radiology, PLA Rocket Force Characteristic Medical Center, No. 16 Xinjiekou Outer Street, Beijing, 100088, China
| | - Songlu Liu
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiazi Huang
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiangjun Wu
- School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Fei Xiong
- School of Biological Science and Medicine Engineering & School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaohua Jia
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Hui Hui
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
| | - Jingying Jiang
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China.
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
| | - Jie Tian
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, No. 37, Xueyuan Road, Beijing, 100191, China.
- School of Engineering Medicine, Beihang University, No. 37, Xueyuan Road, Beijing, 100191, China.
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
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Mannes PZ, Barnes CE, Latoche JD, Day KE, Nedrow JR, Lee JS, Tavakoli S. 2-deoxy-2-[ 18F]fluoro-D-glucose Positron Emission Tomography to Monitor Lung Inflammation and Therapeutic Response to Dexamethasone in a Murine Model of Acute Lung Injury. Mol Imaging Biol 2023; 25:681-691. [PMID: 36941514 PMCID: PMC10027262 DOI: 10.1007/s11307-023-01813-w] [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: 10/25/2022] [Revised: 01/30/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
PURPOSE To image inflammation and monitor therapeutic response to anti-inflammatory intervention using 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET) in a preclinical model of acute lung injury (ALI). PROCEDURES Mice were intratracheally administered lipopolysaccharide (LPS, 2.5 mg/kg) to induce ALI or phosphate-buffered saline as the vehicle control. A subset of mice in the ALI group received two intraperitoneal doses of dexamethasone 1 and 24 h after LPS. [18F]FDG PET/CT was performed 2 days after the induction of ALI. [18F]FDG uptake in the lungs was quantified by PET (%ID/mLmean and standardized uptake value (SUVmean)) and ex vivo γ-counting (%ID/g). The severity of lung inflammation was determined by quantifying the protein level of inflammatory cytokines/chemokines and the activity of neutrophil elastase and glycolytic enzymes. In separate groups of mice, flow cytometry was performed to estimate the contribution of individual immune cell types to the total pulmonary inflammatory cell burden under different treatment conditions. RESULTS Lung uptake of [18F]FDG was significantly increased during LPS-induced ALI, and a decreased [18F]FDG uptake was observed following dexamethasone treatment to an intermediate level between that of LPS-treated and control mice. Protein expression of inflammatory biomarkers and the activity of neutrophil elastase and glycolytic enzymes were increased in the lungs of LPS-treated mice versus those of control mice, and correlated with [18F]FDG uptake. Furthermore, dexamethasone-induced decreases in cytokine/chemokine protein levels and enzyme activities correlated with [18F]FDG uptake. Neutrophils were the most abundant cells in LPS-induced ALI, and the pattern of total cell burden during ALI with or without dexamethasone therapy mirrored that of [18F]FDG uptake. CONCLUSIONS [18F]FDG PET noninvasively detects lung inflammation in ALI and its response to anti-inflammatory therapy in a preclinical model. However, high [18F]FDG uptake by bone, brown fat, and myocardium remains a technical limitation for quantification of [18F]FDG in the lungs.
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Affiliation(s)
- Philip Z Mannes
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
- Medical Scientist Training Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Clayton E Barnes
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph D Latoche
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn E Day
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jessie R Nedrow
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Janet S Lee
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sina Tavakoli
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
- Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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Zhu Q, Barnes CE, Mannes PZ, Latoche JD, Day KE, Nedrow JR, Novelli EM, Anderson CJ, Tavakoli S. Targeted imaging of very late antigen-4 for noninvasive assessment of lung inflammation-fibrosis axis. EJNMMI Res 2023; 13:55. [PMID: 37273103 PMCID: PMC10240482 DOI: 10.1186/s13550-023-01006-0] [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: 01/18/2023] [Accepted: 06/01/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND The lack of noninvasive methods for assessment of dysregulated inflammation as a major driver of fibrosis (i.e., inflammation-fibrosis axis) has been a major challenge to precision management of fibrotic lung diseases. Here, we determined the potential of very late antigen-4 (VLA-4)-targeted positron emission tomography (PET) to detect inflammation in a mouse model of bleomycin-induced fibrotic lung injury. METHOD Single time-point and longitudinal VLA-4-targeted PET was performed using a high-affinity peptidomimetic radiotracer, 64Cu-LLP2A, at weeks 1, 2, and 4 after bleomycin-induced (2.5 units/kg) lung injury in C57BL/6J mice. The severity of fibrosis was determined by measuring the hydroxyproline content of the lungs and expression of markers of extracellular matrix remodeling. Flow cytometry and histology was performed to determine VLA-4 expression across different leukocyte subsets and their spatial distribution. RESULTS Lung uptake of 64Cu-LLP2A was significantly elevated throughout different stages of the progression of bleomycin-induced injury. High lung uptake of 64Cu-LLP2A at week-1 post-bleomycin was a predictor of poor survival over the 4-week follow up, supporting the prognostic potential of 64Cu-LLP2A PET during the early stage of the disease. Additionally, the progressive increase in 64Cu-LLP2A uptake from week-1 to week-4 post-bleomycin correlated with the ultimate extent of lung fibrosis and ECM remodeling. Flow cytometry revealed that LLP2A binding was restricted to leukocytes. A combination of increased expression of VLA-4 by alveolar macrophages and accumulation of VLA-4-expressing interstitial and monocyte-derived macrophages as well as dendritic cells was noted in bleomycin-injured, compared to control, lungs. Histology confirmed the increased expression of VLA-4 in bleomycin-injured lungs, particularly in inflamed and fibrotic regions. CONCLUSIONS VLA-4-targeted PET allows for assessment of the inflammation-fibrosis axis and prediction of disease progression in a murine model. The potential of 64Cu-LLP2A PET for assessment of the inflammation-fibrosis axis in human fibrotic lung diseases needs to be further investigated.
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Affiliation(s)
- Qin Zhu
- Department of Radiology, University of Pittsburgh, UPMC Presbyterian Hospital, 200 Lothrop Street, Suite E200, Pittsburgh, PA, 15213, USA
| | - Clayton E Barnes
- Department of Radiology, University of Pittsburgh, UPMC Presbyterian Hospital, 200 Lothrop Street, Suite E200, Pittsburgh, PA, 15213, USA
| | - Philip Z Mannes
- Department of Radiology, University of Pittsburgh, UPMC Presbyterian Hospital, 200 Lothrop Street, Suite E200, Pittsburgh, PA, 15213, USA
- Medical Scientist Training Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph D Latoche
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn E Day
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jessie R Nedrow
- Department of Radiology, University of Pittsburgh, UPMC Presbyterian Hospital, 200 Lothrop Street, Suite E200, Pittsburgh, PA, 15213, USA
| | - Enrico M Novelli
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Carolyn J Anderson
- Department of Chemistry, University of Missouri, Columbia, MO, USA
- Department of Radiology, University of Missouri, Columbia, MO, USA
| | - Sina Tavakoli
- Department of Radiology, University of Pittsburgh, UPMC Presbyterian Hospital, 200 Lothrop Street, Suite E200, Pittsburgh, PA, 15213, USA.
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
- Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
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Wang H, Wang S, Huang S. MiR-494-3p alleviates acute lung injury through regulating NLRP3 activation by targeting CMPK2. Biochem Cell Biol 2021; 99:286-295. [PMID: 34037470 DOI: 10.1139/bcb-2020-0243] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Acute lung injury (ALI) is a severe respiratory disorder with a high rate of mortality, and is characterized by excessive cell apoptosis and inflammation. MicroRNAs (miRNAs) play pivotal roles in ALI. This study examined the biological function of miR-494-3p in cell apoptosis and inflammatory response in ALI. For this, mice were injected with lipopolysaccharide (LPS) to generate an in-vivo model of ALI (ALI mice), and WI-38 cells were stimulated with lipopolysaccharide (LPS) to generate an in-vitro model of ALI. We found that miR-494-3p was significantly downregulated in the ALI mice and in the in-vitro model. Overexpression of miR-494-3p inhibited inflammation and cell apoptosis in the LPS-induced WI-38 cells, and improved the symptoms of lung injury in the ALI mice. We then identified cytidine/uridine monophosphate kinase 2 (CMPK2) as a novel target of miR-494-3p in the WI-38 cells. Furthermore, miR-494-3p suppressed cell apoptosis and the inflammatory response in LPS-treated WI-38 cells through targeting CMPK2. The NLRP3 inflammasome is reportedly responsible for the activation of inflammatory processes. In our study, CMPK2 was confirmed to activate the NLRP3 inflammasome in LPS-treated WI-38 cells. In conclusion, miR-494-3p attenuates ALI through inhibiting cell apoptosis and the inflammatory response by targeting CMPK2, which suggests the value of miR-494-3p as a target for the treatment for ALI.
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Affiliation(s)
- Hong Wang
- Operating Room, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
| | - Shuqin Wang
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
| | - Shanshan Huang
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
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