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Liu M, Gao J, Zhang Y, Zhou X, Wang Y, Wu L, Tian Z, Tang JH. Recent advances in bioresponsive macrocyclic gadolinium(III) complexes for MR imaging and therapy. Dalton Trans 2025. [PMID: 40085150 DOI: 10.1039/d5dt00191a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2025]
Abstract
Magnetic resonance (MR) imaging is a non-invasive clinical diagnostic modality that provides anatomical and physiological information with sub-millimetre spatial resolution at the organ and tissue levels. It utilizes the relaxation times (T1 and T2) of protons in water to generate MR images. However, the intrinsic MR contrast produced by water relaxation in organs and tissues is limited. To enhance the sensitivity and specificity of MR imaging, about 30%-45% of all clinical MR diagnoses need to use contrast media. Currently, all clinically approved MR contrast agents are linear or macrocyclic gadolinium(III) (Gd(III)) complexes, which are not specific to particular biological events. Due to the relatively high potential for releasing toxic free Gd(III), linear Gd(III) complexes raise safety concerns, making macrocyclic Gd(III) probes the preferred choice for clinical MR imaging without acute safety issues. To enhance the capability of MR imaging for detecting dynamic biological processes and conditions, many bioresponsive macrocyclic Gd(III) complexes capable of targeting diverse biomarkers have been developed. This review provides a concise and timely summary of bioresponsive macrocyclic Gd(III) contrast agents, particularly those developed between 2019 and 2024. We focus on three major types of Gd(III) agent that respond specifically to changes in pH, chemicals, and enzymes, highlighting their molecular design strategies, proton-relaxivity responses, and applications in in vitro and in vivo MR imaging for monitoring specific biomedical conditions and therapies.
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Affiliation(s)
- Ming Liu
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
- School of Chemical Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, P. R. China
| | - Jingpi Gao
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
| | - Yang Zhang
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
| | - Xin Zhou
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
| | - Yu Wang
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
| | - Li Wu
- School of Chemical Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, P. R. China
| | - Zhiyuan Tian
- School of Chemical Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, P. R. China
| | - Jian-Hong Tang
- School of Future Technology, University of Chinese Academy of Sciences (UCAS), Beijing 101408, P. R. China.
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Zha T, Zhang Z, Pan L, Peng L, Du Y, Wu P, Chen J, Xing W. Evaluating the Potential of Quantitative Susceptibility Mapping for Detecting Iron Deposition of Renal Fibrosis in a Rabbit Model. J Magn Reson Imaging 2025. [PMID: 39874142 DOI: 10.1002/jmri.29722] [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: 10/17/2024] [Revised: 01/11/2025] [Accepted: 01/14/2025] [Indexed: 01/30/2025] Open
Abstract
BACKGROUND As ferroptosis is a key factor in renal fibrosis (RF), iron deposition monitoring may help evaluating RF. The capability of quantitative susceptibility mapping (QSM) for detecting iron deposition in RF remains uncertain. PURPOSE To investigate the potential of QSM to detect iron deposition in RF. STUDY TYPE Animal model. ANIMAL MODEL Eighty New Zealand rabbits were randomly divided into control (N = 10) and RF (N = 70) groups, consisting of baseline, 7, 14, 21, and 28 days (N = 12 in each), and longitudinal (N = 10) subgroups. RF was induced via unilateral renal arteria stenosis. FIELD STRENGTH/SEQUENCE 3 T, QSM with gradient echo, arterial spin labeling with gradient spin echo. ASSESSMENT Bilateral kidney QSM values (χ) in the cortex (χCO) and outer medulla (χOM) were evaluated with histopathology. STATISTICAL TESTS Analysis of variance, Kruskal-Wallis, Spearman's correlation, and the area under the receiver operating characteristic curve (AUC). P < 0.05 was significant. RESULTS In fibrotic kidneys, χCO decreased at 7 days ([-6.69 ± 0.98] × 10-2 ppm) and increased during 14-28 days ([-1.85 ± 2.11], [0.14 ± 0.58], and [1.99 ± 0.60] × 10-2 ppm, respectively), while the χOM had the opposite trend. Both significantly correlated with histopathology (|r| = 0.674-0.849). AUC of QSM for distinguishing RF degrees was 0.692-0.993. In contralateral kidneys, the χCO initially decreased ([-6.67 ± 0.84] × 10-2 ppm) then recovered to baseline ([-4.81 ± 0.89] × 10-2 ppm), while the χOM at 7-28 days ([2.58 ± 1.40], [2.25 ± 1.83], [2.49 ± 2.11], [2.43 ± 1.32] × 10-2 ppm, respectively) were significantly higher than baseline ([0.54 ± 0.18] × 10-2 ppm). DATA CONCLUSION Different iron deposition patterns were observed in RF with QSM values, suggesting the potential of QSM for iron deposition monitoring in RF. PLAIN LANGUAGE SUMMARY Renal fibrosis (RF) is a common outcome in most kidney diseases, leading to scarring and loss of kidney function. Increasing evidence suggests that abnormal iron metabolism plays an important role in RF. This study used a technique called quantitative susceptibility mapping (QSM) to measure kidney iron levels in rabbits with RF. Specifically, rabbits with advanced RF exhibited higher kidney iron concentrations, and moderate to strong correlations between QSM values and histopathology demonstrated that QSM could accurately detect changes in iron levels and assess RF severity. Overall, QSM shows promise as a tool for monitoring iron deposition in RF progression. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Tingting Zha
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
- Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center, Changzhou, Jiangsu, China
| | - Zhiping Zhang
- Department of Radiology, Yancheng Third People's Hospital, Yancheng, Jiangsu, China
| | - Liang Pan
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
- Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center, Changzhou, Jiangsu, China
| | - Lei Peng
- Department of Pathology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
| | - Yanan Du
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
- Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center, Changzhou, Jiangsu, China
| | - Peng Wu
- Philips Healthcare, Shanghai, China
| | - Jie Chen
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
- Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center, Changzhou, Jiangsu, China
| | - Wei Xing
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
- Jiangsu Province Artificial Intelligence for Medical Images Engineering Research Center, Changzhou, Jiangsu, China
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Klinkhammer BM, Ay I, Caravan P, Caroli A, Boor P. Advances in Molecular Imaging of Kidney Diseases. Nephron Clin Pract 2024; 149:149-159. [PMID: 39496240 DOI: 10.1159/000542412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 10/20/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND Diagnosing and monitoring kidney diseases traditionally rely on blood and urine analyses and invasive procedures such as kidney biopsies, the latter offering limited possibilities for longitudinal monitoring and a comprehensive understanding of disease dynamics. Current noninvasive methods lack specificity in capturing intrarenal molecular processes, hindering patient stratification and patient monitoring in clinical practice and clinical trials. SUMMARY Molecular imaging enables noninvasive and quantitative assessment of physiological and pathological molecular processes. By using specific molecular probes and imaging technologies, e.g., magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, or ultrasound, molecular imaging allows the detection and longitudinal monitoring of disease activity with spatial and temporal resolution of different kidney diseases and disease-specific pathways. Several approaches have already shown promising results in kidneys and exploratory clinical studies, and validation is needed before implementation in clinical practice. KEY MESSAGES Molecular imaging offers a noninvasive assessment of intrarenal molecular processes, overcoming the limitations of current diagnostic methods. It has the potential to serve as companion diagnostics, not only in clinical trials, aiding in patient stratification and treatment response assessment. By guiding therapeutic interventions, molecular imaging might contribute to the development of targeted therapies for kidney diseases.
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Affiliation(s)
| | - Ilknur Ay
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Peter Caravan
- Institute for Innovation in Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anna Caroli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Peter Boor
- Institute for Pathology, RWTH Aachen University, Aachen, Germany
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Rosales IA, Zhou IY, Ay I, Sojoodi M, Sise ME, Gale EM. Imaging kidney inflammation using an oxidatively activated MRI probe. Kidney Int 2024; 106:671-678. [PMID: 38901603 PMCID: PMC11416327 DOI: 10.1016/j.kint.2024.05.027] [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: 02/14/2024] [Revised: 05/02/2024] [Accepted: 05/14/2024] [Indexed: 06/22/2024]
Abstract
Imaging tools for kidney inflammation could improve care for patients suffering inflammatory kidney diseases by lessening reliance on percutaneous biopsy or biochemical tests alone. During kidney inflammation, infiltration of myeloid immune cells generates a kidney microenvironment that is oxidizing relative to normal kidney. Here, we evaluated whether magnetic resonance imaging (MRI) using the redox-active iron (Fe) complex Fe-PyC3A as an oxidatively activated probe could serve as a marker of kidney inflammation using mouse models of unilateral ischemia-reperfusion injury (IRI) and lupus nephritis (MRL-lpr mice). We imaged unilateral IRI in gp91phox knockout mice, which are deficient in the nicotinamide oxidase II (NOX2) enzyme required for myeloid oxidative burst, as loss of function control, and imaged MRL/MpJ mice as non-kidney involved lupus control. Gadoterate meglumine was used as a non-oxidatively activated control MRI probe. Fe-PyC3A safety was preliminarily examined following a single acute dose. Fe-PyC3A generated significantly greater MRI signal enhancement in the IRI kidney compared to the contralateral kidney in wild-type mice, but the effect was not observed in the NOX2-deficient control. Fe-PyC3A also generated significantly greater kidney enhancement in MRL-lpr mice compared to MRL/MpJ control. Gadoterate meglumine did not differentially enhance the IRI kidney over the contralateral kidney and did not differentially enhance the kidneys of MRL-lpr over MRL/MpJ mice. Fe-PyC3A was well tolerated at the highest dose evaluated, which was a 40-fold greater than required for imaging. Thus, our data indicate that MRI using Fe-PyC3A is specific to an oxidizing kidney environment shaped by activity of myeloid immune cells and support further evaluation of Fe-PyC3A for imaging kidney inflammation.
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Affiliation(s)
- Ivy A Rosales
- Department of Pathology, Immunopathology Research Laboratory, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Iris Yuwen Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Ilknur Ay
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Mozhdeh Sojoodi
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Meghan E Sise
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric M Gale
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
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Wang X, Chen J, Li Z, Li Y, Zhang Y, Gong Q, Luo K. A branched polymer-based agent for efficient and precise targeting of fibrosis diseases by magnetic resonance imaging. J Control Release 2024; 373:905-916. [PMID: 39089506 DOI: 10.1016/j.jconrel.2024.07.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/12/2024] [Accepted: 07/29/2024] [Indexed: 08/04/2024]
Abstract
Herein, we synthesized and characterized gadolinium-based hyperbranched polymers, POADGd and PODGd, through RAFT polymerization as magnetic resonance imaging (MRI) contrast agents for detecting fibrosis. POADGd and PODGd contain biocompatible short-chain OEGMA to prolong blood circulation, and they can be decomposed in response to ROS after MRI examination to prevent potential accumulation. The relaxivities of POADGd and PODGd are 9.81 mM-1 s-1 and 9.58 mM-1 s-1 respectively, which are significantly higher than that of DTPA-Gd, a clinically used agent (3.74 mM-1 s-1). In comparison with PODGd, POADGd can specifically target allysine in fibrosis tissues through its oxyamine groups. Therefore, it displays a sharp spatial resolution and a high signal-to-noise ratio in the liver and lung fibrosis tissue at a field strength of 3.0 T or 7.0 T, and the morphology of these fibrosis tissues is accurately delineated. Our MRI diagnosis results based on POADGd are highly aligned with those from pathological examinations, while MRI diagnosis could avoid invasive biopsy. In addition, POADGd shows excellent biosafety and low toxicity. Therefore, POADGd could be applied to non-invasively and accurately diagnose liver and lung fibrosis diseases.
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Affiliation(s)
- Xiaoming Wang
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Department of Radiology, Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing 401147, China
| | - Jie Chen
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhiqian Li
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yunkun Li
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yuxin Zhang
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qiyong Gong
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Functional and molecular imaging Key Laboratory of Sichuan Province, Key Laboratory of Transplant Engineering and Immunology, NHC, and Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361021, Fujian, China
| | - Kui Luo
- Department of Radiology, Huaxi MR Research Center (HMRRC), Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China; Functional and molecular imaging Key Laboratory of Sichuan Province, Key Laboratory of Transplant Engineering and Immunology, NHC, and Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China.
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6
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Ma H, Esfahani SA, Krishna S, Ataeinia B, Zhou IY, Rotile NJ, Weigand-Whittier J, Boice AT, Liss AS, Tanabe KK, Caravan P. Allysine-Targeted Molecular MRI Enables Early Prediction of Chemotherapy Response in Pancreatic Cancer. Cancer Res 2024; 84:2549-2560. [PMID: 38759082 PMCID: PMC11293968 DOI: 10.1158/0008-5472.can-23-3548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/20/2024] [Accepted: 05/14/2024] [Indexed: 05/19/2024]
Abstract
Neoadjuvant therapy is routinely used in pancreatic ductal adenocarcinoma (PDAC), but not all tumors respond to this treatment. Current clinical imaging techniques are not able to precisely evaluate and predict the response to neoadjuvant therapies over several weeks. A strong fibrotic reaction is a hallmark of a positive response, and during fibrogenesis, allysine residues are formed on collagen proteins by the action of lysyl oxidases. Here, we report the application of an allysine-targeted molecular MRI probe, MnL3, to provide an early, noninvasive assessment of treatment response in PDAC. Allysine increased 2- to 3-fold after one dose of neoadjuvant therapy with FOLFIRINOX in sensitive human PDAC xenografts in mice. Molecular MRI with MnL3 could specifically detect and quantify fibrogenesis in PDAC xenografts. Comparing the MnL3 signal before and 3 days after one dose of FOLFIRINOX predicted subsequent treatment response. The MnL3 tumor signal increased by 70% from day 0 to day 3 in mice that responded to subsequent doses of FOLFIRINOX, whereas no signal increase was observed in FOLFIRINOX-resistant tumors. This study indicates the promise of allysine-targeted molecular MRI as a noninvasive tool to predict chemotherapy outcomes. Significance: Allysine-targeted molecular MRI can quantify fibrogenesis in pancreatic tumors and predict response to chemotherapy, which could guide rapid clinical management decisions by differentiating responders from nonresponders after treatment initiation.
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Affiliation(s)
- Hua Ma
- Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Shadi A. Esfahani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts 02129, United States
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Shriya Krishna
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Bahar Ataeinia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts 02129, United States
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States
| | - Iris Y. Zhou
- Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts 02129, United States
| | - Nicholas J. Rotile
- Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Jonah Weigand-Whittier
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Avery T. Boice
- Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Andrew S. Liss
- Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, Massachusetts, 02114, United States
| | - Kenneth K. Tanabe
- Division of Gastrointestinal and Oncologic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States
| | - Peter Caravan
- Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts 02129, United States
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7
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Moon BF, Zhou IY, Ning Y, Chen YI, Le Fur M, Shuvaev S, Akam EA, Ma H, Solsona CM, Weigand‐Whittier J, Rotile N, Hariri LP, Drummond M, Boice AT, Zygmont SE, Sharma Y, Warburton RR, Martin GL, Blanton RM, Fanburg BL, Hill NS, Caravan P, Penumatsa KC. Simultaneous Positron Emission Tomography and Molecular Magnetic Resonance Imaging of Cardiopulmonary Fibrosis in a Mouse Model of Left Ventricular Dysfunction. J Am Heart Assoc 2024; 13:e034363. [PMID: 38979786 PMCID: PMC11292745 DOI: 10.1161/jaha.124.034363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/14/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND Aging-associated left ventricular dysfunction promotes cardiopulmonary fibrogenic remodeling, Group 2 pulmonary hypertension (PH), and right ventricular failure. At the time of diagnosis, cardiac function has declined, and cardiopulmonary fibrosis has often developed. Here, we sought to develop a molecular positron emission tomography (PET)-magnetic resonance imaging (MRI) protocol to detect both cardiopulmonary fibrosis and fibrotic disease activity in a left ventricular dysfunction model. METHODS AND RESULTS Left ventricular dysfunction was induced by transverse aortic constriction (TAC) in 6-month-old senescence-accelerated prone mice, a subset of mice that received sham surgery. Three weeks after surgery, mice underwent simultaneous PET-MRI at 4.7 T. Collagen-targeted PET and fibrogenesis magnetic resonance (MR) probes were intravenously administered. PET signal was computed as myocardium- or lung-to-muscle ratio. Percent signal intensity increase and Δ lung-to-muscle ratio were computed from the pre-/postinjection magnetic resonance images. Elevated allysine in the heart (P=0.02) and lungs (P=0.17) of TAC mice corresponded to an increase in myocardial magnetic resonance imaging percent signal intensity increase (P<0.0001) and Δlung-to-muscle ratio (P<0.0001). Hydroxyproline in the heart (P<0.0001) and lungs (P<0.01) were elevated in TAC mice, which corresponded to an increase in heart (myocardium-to-muscle ratio, P=0.02) and lung (lung-to-muscle ratio, P<0.001) PET measurements. Pressure-volume loop and echocardiography demonstrated adverse left ventricular remodeling, function, and increased right ventricular systolic pressure in TAC mice. CONCLUSIONS Administration of collagen-targeted PET and allysine-targeted MR probes led to elevated PET-magnetic resonance imaging signals in the myocardium and lungs of TAC mice. The study demonstrates the potential to detect fibrosis and fibrogenesis in cardiopulmonary disease through a dual molecular PET-magnetic resonance imaging protocol.
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Affiliation(s)
- Brianna F. Moon
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Iris Y. Zhou
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yingying Ning
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yin‐Ching I. Chen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Mariane Le Fur
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Sergey Shuvaev
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Eman A. Akam
- Department of Medicine, Division of Cardiology, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Hua Ma
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | | | - Jonah Weigand‐Whittier
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Nicholas Rotile
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Lida P. Hariri
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Matthew Drummond
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
| | - Avery T. Boice
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Samantha E. Zygmont
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
| | - Yamini Sharma
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Rod R. Warburton
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Gregory L. Martin
- Molecular Cardiology Research Institute, Tufts Medical CenterBostonMAUSA
| | - Robert M. Blanton
- Molecular Cardiology Research Institute, Tufts Medical CenterBostonMAUSA
| | - Barry L. Fanburg
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Nicholas S. Hill
- Pulmonary, Critical Care and Sleep Medicine, Tufts Medical CenterBostonMAUSA
| | - Peter Caravan
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Institute for Innovation in Imaging, Massachusetts General HospitalBostonMAUSA
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8
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Lin P, Wu W, Chen C, Chen Y, Ouyang S, Song Z, Xia Y, An Y, Zhang N, Zhao P, Lin B, Tao J. Walking Dead Macrophage-Based Positive Enhancement MRI for Ultrahighly Efficient Diagnosis of Nephritis. Anal Chem 2024; 96:4933-4941. [PMID: 38483253 DOI: 10.1021/acs.analchem.3c05777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Nephritis is an inflammatory condition of the glomerulus, and the clinical gold standard for its diagnosis is a kidney biopsy. However, obtaining biopsy results can take several days, which does not meet the requirement of rapid diagnosis, especially for rapidly progressive types. To achieve an effective and noninvasive diagnosis, we propose a nephritis-specific, positive magnetic resonance imaging (MRI) contrast agent based on Gd3+ anchored walking dead macrophage Gd-RAW. Gd-RAW exhibits high selectivity for inflammatory renal parenchyma and provides comparable results to histopathology methods. The Gd-RAW-based MRI contrast agent reduces the diagnostic time of nephritis from 14 days of biopsy to 1 h. Furthermore, in a unilateral nephritis model constructed by increasing the glycerol concentration, the T1WI of renal parenchyma exhibits an increased signal-to-noise ratio, which is crucial for evaluating nephritic severity. This work promotes rapid diagnosis of nephritis and potentially provides sufficient evidence for clinicians to offer timely treatment to patients. The methodology of paramagnetic ion-anchored macrophage corpse also opens up new prospects for designing more specific and biosafe MRI contrast agents.
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Affiliation(s)
- Peiru Lin
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Provincial Key Laboratory of Cardiac Function and Microcirculation, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, 510515 Guangzhou, China
| | - Wanjia Wu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, 510515 Guangzhou, China
| | - Chuyao Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, 510515 Guangzhou, China
| | - Yuying Chen
- School of Chemistry and Chemical Engineering, South China University of Technology, 510640 Guangzhou, China
| | - Sixue Ouyang
- School of Chemistry and Chemical Engineering, South China University of Technology, 510640 Guangzhou, China
| | - Zibin Song
- Department of Neurosurgery, Southern Medical University Nanfang Hospital, 510515 Guangzhou, China
| | - Yubin Xia
- Department of Nephrology, The First Affiliated Hospital of Shantou University Medical College, 515100 Shantou, China
| | - Yida An
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Provincial Key Laboratory of Cardiac Function and Microcirculation, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, 510515 Guangzhou, China
| | - Nan Zhang
- Guangzhou National Laboratory, 510005 Guangzhou, China
| | - Peng Zhao
- NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Provincial Key Laboratory of Cardiac Function and Microcirculation, Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, 510515 Guangzhou, China
| | - Bingquan Lin
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, 510515 Guangzhou, China
| | - Jia Tao
- School of Chemistry and Chemical Engineering, South China University of Technology, 510640 Guangzhou, China
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Chatzinikolaou PN, Margaritelis NV, Paschalis V, Theodorou AA, Vrabas IS, Kyparos A, D'Alessandro A, Nikolaidis MG. Erythrocyte metabolism. Acta Physiol (Oxf) 2024; 240:e14081. [PMID: 38270467 DOI: 10.1111/apha.14081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 12/11/2023] [Accepted: 01/01/2024] [Indexed: 01/26/2024]
Abstract
Our aim is to present an updated overview of the erythrocyte metabolism highlighting its richness and complexity. We have manually collected and connected the available biochemical pathways and integrated them into a functional metabolic map. The focus of this map is on the main biochemical pathways consisting of glycolysis, the pentose phosphate pathway, redox metabolism, oxygen metabolism, purine/nucleoside metabolism, and membrane transport. Other recently emerging pathways are also curated, like the methionine salvage pathway, the glyoxalase system, carnitine metabolism, and the lands cycle, as well as remnants of the carboxylic acid metabolism. An additional goal of this review is to present the dynamics of erythrocyte metabolism, providing key numbers used to perform basic quantitative analyses. By synthesizing experimental and computational data, we conclude that glycolysis, pentose phosphate pathway, and redox metabolism are the foundations of erythrocyte metabolism. Additionally, the erythrocyte can sense oxygen levels and oxidative stress adjusting its mechanics, metabolism, and function. In conclusion, fine-tuning of erythrocyte metabolism controls one of the most important biological processes, that is, oxygen loading, transport, and delivery.
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Affiliation(s)
- Panagiotis N Chatzinikolaou
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
| | - Nikos V Margaritelis
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
| | - Vassilis Paschalis
- School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasios A Theodorou
- Department of Life Sciences, School of Sciences, European University Cyprus, Nicosia, Cyprus
| | - Ioannis S Vrabas
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
| | - Antonios Kyparos
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Michalis G Nikolaidis
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Serres, Greece
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10
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Zhao D, Wang W, Niu YY, Ren XH, Shen AJ, Xiang YS, Xie HY, Wu LH, Yu C, Zhang YY. Amide Proton Transfer-Weighted Magnetic Resonance Imaging for Application in Renal Fibrosis: A Radiological-Pathological-Based Analysis. Am J Nephrol 2024; 55:334-344. [PMID: 38228096 DOI: 10.1159/000536232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024]
Abstract
INTRODUCTION Renal fibrosis (RF), being the most important pathological change in the progression of CKD, is currently assessed by the evaluation of a biopsy. This present study aimed to apply a novel functional MRI (fMRI) protocol named amide proton transfer (APT) weighting to evaluate RF noninvasively. METHODS Male Sprague-Dawley (SD) rats were initially subjected to bilateral kidney ischemia/reperfusion injury (IRI), unilateral ureteral obstruction, and sham operation, respectively. All rats underwent APT mapping on the 7th and 14th days after operation. Besides, 26 patients underwent renal biopsy at the Nephrology Department of Shanghai Tongji Hospital between July 2022 and May 2023. Patients underwent APT and apparent diffusion coefficient (ADC) mappings within 1 week before biopsy. MRI results of both patients and rats were calculated by comparing with gold standard histology for fibrosis assessment. RESULTS In animal models, the cortical APT (cAPT) and medullary APT (mAPT) values were positively correlated with the degree of RF. Compared to the sham group, IRI group showed significantly increased cAPT and mAPT values on the 7th and 14th days after surgery, but no group differences were found in ADC values. Similar results were found in human patients. Cortical/medullary APT values were significantly increased in patients with moderate-to-severe fibrosis than in patients with mild fibrosis. ROC curve analysis indicated that APT value displayed a better diagnostic value for RF. Furthermore, combination of cADC and cAPT improved fibrosis detection by imaging variables alone (p < 0.1). CONCLUSION APT values had better diagnostic capability at early stage of RF compared to ADC values, and the addition of APT imaging to conventional ADC will significantly improve the diagnostic performance for predicting kidney fibrosis.
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Affiliation(s)
- Dan Zhao
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China,
| | - Wei Wang
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yang-Yang Niu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xi-Hui Ren
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ai-Jun Shen
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yong-Sheng Xiang
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hong-Yan Xie
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Le-Hao Wu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chen Yu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ying-Ying Zhang
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
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