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Levi J, Guglielmetti C, Henrich TJ, Yoon JC, Gokhale PC, Reardon DA, Packiasamy J, Huynh L, Cabrera H, Ruzevich M, Blecha J, Peluso MJ, Huynh TL, An SM, Dornan M, Belanger AP, Nguyen QD, Seo Y, Song H, Chaumeil MM, VanBrocklin HF, Chae HD. [ 18F]F-AraG imaging reveals association between neuroinflammation and brown- and bone marrow adipose tissue. Commun Biol 2024; 7:793. [PMID: 38951146 PMCID: PMC11217368 DOI: 10.1038/s42003-024-06494-x] [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: 01/15/2024] [Accepted: 06/22/2024] [Indexed: 07/03/2024] Open
Abstract
Brown and brown-like adipose tissues have attracted significant attention for their role in metabolism and therapeutic potential in diabetes and obesity. Despite compelling evidence of an interplay between adipocytes and lymphocytes, the involvement of these tissues in immune responses remains largely unexplored. This study explicates a newfound connection between neuroinflammation and brown- and bone marrow adipose tissue. Leveraging the use of [18F]F-AraG, a mitochondrial metabolic tracer capable of tracking activated lymphocytes and adipocytes simultaneously, we demonstrate, in models of glioblastoma and multiple sclerosis, the correlation between intracerebral immune infiltration and changes in brown- and bone marrow adipose tissue. Significantly, we show initial evidence that a neuroinflammation-adipose tissue link may also exist in humans. This study proposes the concept of an intricate immuno-neuro-adipose circuit, and highlights brown- and bone marrow adipose tissue as an intermediary in the communication between the immune and nervous systems. Understanding the interconnectedness within this circuitry may lead to advancements in the treatment and management of various conditions, including cancer, neurodegenerative diseases and metabolic disorders.
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Affiliation(s)
- Jelena Levi
- CellSight Technologies Incorporated, San Francisco, CA, USA.
| | - Caroline Guglielmetti
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, USA
| | - John C Yoon
- Division of Endocrinology, Department of Internal Medicine, University of California Davis School of Medicine, Davis, CA, USA
| | | | | | | | - Lyna Huynh
- CellSight Technologies Incorporated, San Francisco, CA, USA
| | - Hilda Cabrera
- CellSight Technologies Incorporated, San Francisco, CA, USA
| | | | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Michael J Peluso
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Tony L Huynh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Sung-Min An
- Division of Endocrinology, Department of Internal Medicine, University of California Davis School of Medicine, Davis, CA, USA
| | - Mark Dornan
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anthony P Belanger
- Molecular Cancer Imaging Facility, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Quang-Dé Nguyen
- Lurie Family Imaging Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Hong Song
- Department of Radiology, Stanford University, Palo Alto, CA, USA
| | - Myriam M Chaumeil
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Henry F VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Hee-Don Chae
- CellSight Technologies Incorporated, San Francisco, CA, USA
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Wooliscroft L, Salter A, Adusumilli G, Levasseur VA, Sun P, Lancia S, Perantie DC, Trinkaus K, Naismith RT, Song SK, Cross AH. Diffusion basis spectrum imaging and diffusion tensor imaging predict persistent black hole formation in multiple sclerosis. Mult Scler Relat Disord 2024; 84:105494. [PMID: 38359694 PMCID: PMC10978237 DOI: 10.1016/j.msard.2024.105494] [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: 09/20/2023] [Revised: 12/13/2023] [Accepted: 02/10/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND AND OBJECTIVES Diffusion basis spectrum imaging (DBSI) extracts multiple anisotropic and isotropic diffusion tensors, providing greater histopathologic specificity than diffusion tensor imaging (DTI). Persistent black holes (PBH) represent areas of severe tissue damage in multiple sclerosis (MS), and a high PBH burden is associated with worse MS disability. This study evaluated the ability of DBSI and DTI to predict which acute contrast-enhancing lesions (CELs) would persist as T1 hypointensities (i.e. PBHs) 12 months later. We expected that a higher radial diffusivity (RD), representing demyelination, and higher DBSI-derived isotropic non-restricted fraction, representing edema and increased extracellular space, of the acute CEL would increase the likelihood of future PBH development. METHODS In this prospective cohort study, relapsing MS patients with ≥1 CEL(s) underwent monthly MRI scans for 4 to 6 months until gadolinium resolution. DBSI and DTI metrics were quantified when the CEL was most conspicuous during the monthly scans. To determine whether the CEL became a PBH, a follow-up MRI was performed at least 12 months after the final monthly scan. RESULTS The cohort included 20 MS participants (median age 33 years; 13 women) with 164 CELs. Of these, 59 (36 %) CELs evolved into PBHs. At Gd-max, DTI RD and AD of all CELs increased, and both metrics were significantly elevated for CELs which became PBHs, as compared to non-black holes (NBHs). DTI RD above 0.74 conferred an odds ratio (OR) of 7.76 (CI 3.77-15.98) for a CEL becoming a PBH (AUC 0.80, CI 0.73-0.87); DTI axial diffusivity (AD) above 1.22 conferred an OR of 7.32 (CI 3.38-15.86) for becoming a PBH (AUC 0.75, CI 0.66-0.83). DBSI RD and AD did not predict PBH development in a multivariable model. At Gd-max, DBSI restricted fraction decreased and DBSI non-restricted fraction increased in all CELs, and both metrics were significantly different for CELs which became PBHs, as compared to NBHs. A CEL with a DBSI non-restricted fraction above 0.45 had an OR of 4.77 (CI 2.35-9.66) for becoming a PBH (AUC 0.74, CI 0.66-0.81); a CEL with a DBSI restricted fraction below 0.07 had an OR of 9.58 (CI 4.59-20.02) for becoming a PBH (AUC 0.80, 0.72-0.87). CONCLUSION Our findings suggest that greater degree of edema/extracellular space in a CEL is a predictor of tissue destruction, as evidenced by PBH evolution.
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Affiliation(s)
- Lindsey Wooliscroft
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA; Department of Neurology, VA Portland Health Care System, Portland, OR, USA; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
| | - Amber Salter
- Department of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA; Department of Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Gautam Adusumilli
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Victoria A Levasseur
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Minneapolis Clinic of Neurology, Coon Rapids, MN, USA
| | - Peng Sun
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Samantha Lancia
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA; Department of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA; Department of Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Dana C Perantie
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathryn Trinkaus
- Biostatistics Shared Resource, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert T Naismith
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Anne H Cross
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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3
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Brier MR, Taha F. Measuring Pathology in Patients with Multiple Sclerosis Using Positron Emission Tomography. Curr Neurol Neurosci Rep 2023; 23:479-488. [PMID: 37418219 DOI: 10.1007/s11910-023-01285-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2023] [Indexed: 07/08/2023]
Abstract
PURPOSE OF REVIEW Multiple sclerosis is characterized by a diverse and complex pathology. Clinical relapses, the hallmark of the disease, are accompanied by focal white matter lesions with intense inflammatory and demyelinating activity. Prevention of these relapses has been the major focus of pharmaceutical development, and it is now possible to dramatically reduce this inflammatory activity. Unfortunately, disability accumulation persists for many people living with multiple sclerosis owing to ongoing damage within existing lesions, pathology outside of discrete lesions, and other yet unknown factors. Understanding this complex pathological cascade will be critical to stopping progressive multiple sclerosis. Positron emission tomography uses biochemically specific radioligands to quantitatively measure pathological processes with molecular specificity. This review examines recent advances in the understanding of multiple sclerosis facilitated by positron emission tomography and identifies future avenues to expand understanding and treatment options. RECENT FINDINGS An increasing number of radiotracers allow for the quantitative measurement of inflammatory abnormalities, de- and re-myelination, and metabolic disruption associated with multiple sclerosis. The studies have identified contributions of ongoing, smoldering inflammation to accumulating tissue injury and clinical worsening. Myelin studies have quantified the dynamics of myelin loss and recovery. Lastly, metabolic changes have been found to contribute to symptom worsening. The molecular specificity facilitated by positron emission tomography in people living with multiple sclerosis will critically inform efforts to modulate the pathology leading to progressive disability accumulation. Existing studies show the power of this approach applied to multiple sclerosis. This armamentarium of radioligands allows for new understanding of how the brain and spinal cord of people is impacted by multiple sclerosis.
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Affiliation(s)
- Matthew R Brier
- Department of Neurology, John L Trotter MS Center, Washington University in St. Louis, St. Louis, USA.
| | - Farris Taha
- Department of Neurology, Medical University of South Carolina, Charleston, USA
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ImmunoPET Directed to the Brain: A New Tool for Preclinical and Clinical Neuroscience. Biomolecules 2023; 13:biom13010164. [PMID: 36671549 PMCID: PMC9855881 DOI: 10.3390/biom13010164] [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: 12/21/2022] [Revised: 01/08/2023] [Accepted: 01/10/2023] [Indexed: 01/14/2023] Open
Abstract
Immuno-positron emission tomography (immunoPET) is a non-invasive in vivo imaging method based on tracking and quantifying radiolabeled monoclonal antibodies (mAbs) and other related molecules, such as antibody fragments, nanobodies, or affibodies. However, the success of immunoPET in neuroimaging is limited because intact antibodies cannot penetrate the blood-brain barrier (BBB). In neuro-oncology, immunoPET has been successfully applied to brain tumors because of the compromised BBB. Different strategies, such as changes in antibody properties, use of physiological mechanisms in the BBB, or induced changes to BBB permeability, have been developed to deliver antibodies to the brain. These approaches have recently started to be applied in preclinical central nervous system PET studies. Therefore, immunoPET could be a new approach for developing more specific PET probes directed to different brain targets.
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Buttigieg E, Scheller A, El Waly B, Kirchhoff F, Debarbieux F. Contribution of Intravital Neuroimaging to Study Animal Models of Multiple Sclerosis. Neurotherapeutics 2023; 20:22-38. [PMID: 36653665 PMCID: PMC10119369 DOI: 10.1007/s13311-022-01324-6] [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] [Accepted: 10/23/2022] [Indexed: 01/20/2023] Open
Abstract
Multiple sclerosis (MS) is a complex and long-lasting neurodegenerative disease of the central nervous system (CNS), characterized by the loss of myelin within the white matter and cortical fibers, axonopathy, and inflammatory responses leading to consequent sensory-motor and cognitive deficits of patients. While complete resolution of the disease is not yet a reality, partial tissue repair has been observed in patients which offers hope for therapeutic strategies. To address the molecular and cellular events of the pathomechanisms, a variety of animal models have been developed to investigate distinct aspects of MS disease. Recent advances of multiscale intravital imaging facilitated the direct in vivo analysis of MS in the animal models with perspective of clinical transfer to patients. This review gives an overview of MS animal models, focusing on the current imaging modalities at the microscopic and macroscopic levels and emphasizing the importance of multimodal approaches to improve our understanding of the disease and minimize the use of animals.
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Affiliation(s)
- Emeline Buttigieg
- Molecular Physiology, Center for Integrative Physiology and Molecular Medicine (CIPMM), University of Saarland, 66421, Homburg, Germany
- Institut des Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS UMR7289, 13005, Marseille, France
- Centre Européen de Recherche en Imagerie Médicale (CERIMED), Aix-Marseille Université, Marseille, France
| | - Anja Scheller
- Molecular Physiology, Center for Integrative Physiology and Molecular Medicine (CIPMM), University of Saarland, 66421, Homburg, Germany
| | - Bilal El Waly
- Institut des Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS UMR7289, 13005, Marseille, France
- Centre Européen de Recherche en Imagerie Médicale (CERIMED), Aix-Marseille Université, Marseille, France
| | - Frank Kirchhoff
- Molecular Physiology, Center for Integrative Physiology and Molecular Medicine (CIPMM), University of Saarland, 66421, Homburg, Germany
| | - Franck Debarbieux
- Institut des Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS UMR7289, 13005, Marseille, France.
- Centre Européen de Recherche en Imagerie Médicale (CERIMED), Aix-Marseille Université, Marseille, France.
- Institut Universitaire de France (IUF), Paris, France.
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6
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Wu J, Mayer AT, Li R. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Semin Cancer Biol 2022; 84:310-328. [PMID: 33290844 PMCID: PMC8319834 DOI: 10.1016/j.semcancer.2020.12.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 11/29/2020] [Accepted: 12/02/2020] [Indexed: 02/07/2023]
Abstract
Radiological imaging is an integral component of cancer care, including diagnosis, staging, and treatment response monitoring. It contains rich information about tumor phenotypes that are governed not only by cancer cellintrinsic biological processes but also by the tumor microenvironment, such as the composition and function of tumor-infiltrating immune cells. By analyzing the radiological scans using a quantitative radiomics approach, robust relations between specific imaging and molecular phenotypes can be established. Indeed, a number of studies have demonstrated the feasibility of radiogenomics for predicting intrinsic molecular subtypes and gene expression signatures in breast cancer based on MRI. In parallel, promising results have been shown for inferring the amount of tumor-infiltrating lymphocytes, a key factor for the efficacy of cancer immunotherapy, from standard-of-care radiological images. Compared with the biopsy-based approach, radiogenomics offers a unique avenue to profile the molecular makeup of the tumor and immune microenvironment as well as its evolution in a noninvasive and holistic manner through longitudinal imaging scans. Here, we provide a systematic review of the state of the art radiogenomics studies in the era of immunotherapy and discuss emerging paradigms and opportunities in AI and deep learning approaches. These technical advances are expected to transform the radiogenomics field, leading to the discovery of reliable imaging biomarkers. This will pave the way for their clinical translation to guide precision cancer therapy.
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Affiliation(s)
- Jia Wu
- Department of Imaging Physics, MD Anderson Cancer Center, Texas, 77030, USA; Department of Thoracic/Head & Neck Medical Oncology, MD Anderson Cancer Center, Texas, 77030, USA.
| | - Aaron T Mayer
- Department of Bioengineering, Stanford University, Stanford, California, 94305, USA; Department of Radiology, Stanford University, Stanford, California, 94305, USA; Molecular Imaging Program at Stanford, Stanford University, Stanford, California, 94305, USA; BioX Program at Stanford, Stanford University, Stanford, California, 94305, USA
| | - Ruijiang Li
- Department of Radiation Oncology, Stanford University, Stanford, California, 94305, USA
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7
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Brewer KD, Shi SM, Wyss-Coray T. Unraveling protein dynamics to understand the brain - the next molecular frontier. Mol Neurodegener 2022; 17:45. [PMID: 35717317 PMCID: PMC9206758 DOI: 10.1186/s13024-022-00546-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood–brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level.
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Affiliation(s)
- Kyle D Brewer
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Sophia M Shi
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- ChEM-H, Stanford University, Stanford, CA, USA. .,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. .,Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
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8
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Thomas AM, Yang E, Smith MD, Chu C, Calabresi PA, Glunde K, van Zijl PCM, Bulte JWM. CEST MRI and MALDI imaging reveal metabolic alterations in the cervical lymph nodes of EAE mice. J Neuroinflammation 2022; 19:130. [PMID: 35659311 PMCID: PMC9164344 DOI: 10.1186/s12974-022-02493-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/15/2022] [Indexed: 11/10/2022] Open
Abstract
Background Multiple sclerosis (MS) is a neurodegenerative disease, wherein aberrant immune cells target myelin-ensheathed nerves. Conventional magnetic resonance imaging (MRI) can be performed to monitor damage to the central nervous system that results from previous inflammation; however, these imaging biomarkers are not necessarily indicative of active, progressive stages of the disease. The immune cells responsible for MS are first activated and sensitized to myelin in lymph nodes (LNs). Here, we present a new strategy for monitoring active disease activity in MS, chemical exchange saturation transfer (CEST) MRI of LNs. Methods and results We studied the potential utility of conventional (T2-weighted) and CEST MRI to monitor changes in these LNs during disease progression in an experimental autoimmune encephalomyelitis (EAE) model. We found CEST signal changes corresponded temporally with disease activity. CEST signals at the 3.2 ppm frequency during the active stage of EAE correlated significantly with the cellular (flow cytometry) and metabolic (mass spectrometry imaging) composition of the LNs, as well as immune cell infiltration into brain and spinal cord tissue. Correlating primary metabolites as identified by matrix-assisted laser desorption/ionization (MALDI) imaging included alanine, lactate, leucine, malate, and phenylalanine. Conclusions Taken together, we demonstrate the utility of CEST MRI signal changes in superficial cervical LNs as a complementary imaging biomarker for monitoring disease activity in MS. CEST MRI biomarkers corresponded to disease activity, correlated with immune activation (surface markers, antigen-stimulated proliferation), and correlated with LN metabolite levels. Supplementary Information The online version contains supplementary material available at 10.1186/s12974-022-02493-z.
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Affiliation(s)
- Aline M Thomas
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA.,Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ethan Yang
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA
| | - Matthew D Smith
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chengyan Chu
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA.,Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Glunde
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA.,Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter C M van Zijl
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Jeff W M Bulte
- Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, Johns Hopkins University School of Medicine, MD, 21205, Baltimore, USA. .,Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. .,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Chemical and Biomolecular Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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9
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Thomas AM, Barkhof F, Bulte JWM. Opportunities for Molecular Imaging in Multiple Sclerosis Management: Linking Probe to Treatment. Radiology 2022; 303:486-497. [PMID: 35471110 PMCID: PMC9131169 DOI: 10.1148/radiol.211252] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Imaging has been a critical component of multiple sclerosis (MS) management for nearly 40 years. The visual information derived from structural MRI, that is, signs of blood-brain barrier disruption, inflammation and demyelination, and brain and spinal cord atrophy, are the primary metrics used to evaluate therapeutic efficacy in MS. The development of targeted imaging probes has expanded our ability to evaluate and monitor MS and its therapies at the molecular level. Most molecular imaging probes evaluated for MS applications are small molecules initially developed for PET, nearly half of which are derived from U.S. Food and Drug Administration-approved drugs and those currently undergoing clinical trials. Superparamagnetic and fluorinated particles have been used for tracking circulating immune cells (in situ labeling) and immunosuppressive or remyelinating therapeutic stem cells (ex vivo labeling) clinically using proton (hydrogen 1 [1H]) and preclinically using fluorine 19 MRI. Translocator protein PET and 1H MR spectroscopy have been demonstrated to complement imaging metrics from structural (gadolinium-enhanced) MRI in nine and six trials for MS disease-modifying therapies, respectively. Still, despite multiple demonstrations of the utility of molecular imaging probes to evaluate the target location and to elucidate the mechanisms of disease-modifying therapies for MS applications, their use has been sparse in both preclinical and clinical settings.
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Affiliation(s)
- Aline M Thomas
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
| | - Frederik Barkhof
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
| | - Jeff W M Bulte
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, and the Cellular Imaging Section and Vascular Biology Program, Institute for Cell Engineering, the Johns Hopkins University School of Medicine, 733 N Broadway, Room 659, Baltimore, MD 21205 (A.M.T., J.W.M.B.); and Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands (F.B.)
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10
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Wu AM, Pandit-Taskar N. ImmunoPET: harnessing antibodies for imaging immune cells. Mol Imaging Biol 2022; 24:181-197. [PMID: 34550529 DOI: 10.1007/s11307-021-01652-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/02/2021] [Accepted: 09/06/2021] [Indexed: 01/22/2023]
Abstract
Dramatic, but uneven, progress in the development of immunotherapies for cancer has created a need for better diagnostic technologies including innovative non-invasive imaging approaches. This review discusses challenges and opportunities for molecular imaging in immuno-oncology and focuses on the unique role that antibodies can fill. ImmunoPET has been implemented for detection of immune cell subsets, activation and inhibitory biomarkers, tracking adoptively transferred cellular therapeutics, and many additional applications in preclinical models. Parallel progress in radionuclide availability and infrastructure supporting biopharmaceutical manufacturing has accelerated clinical translation. ImmunoPET is poised to provide key information on prognosis, patient selection, and monitoring immune responses to therapy in cancer and beyond.
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Affiliation(s)
- Anna M Wu
- Department of Immunology and Theranostics, Arthur Riggs Diabetes and Metabolism Research Institute, Center for Theranostics Studies, Beckman Research Institute, City of Hope, 1500 E. Duarte Rd., Duarte, CA, 91010, USA.
- Department of Radiation Oncology, City of Hope, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
| | - Neeta Pandit-Taskar
- Molecular Imaging &Therapy Svc, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Weill Cornell Medical Center, New York, NY, USA
- Center for Targeted Radioimmunotherapy and Theranostics, Ludwig Center for Cancer Immunotherapy, MSK, 1275 York Ave, New York, NY, 10065, USA
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11
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Guglielmetti C, Levi J, Huynh TL, Tiret B, Blecha J, Tang R, VanBrocklin H, Chaumeil MM. Longitudinal Imaging of T Cells and Inflammatory Demyelination in a Preclinical Model of Multiple Sclerosis Using 18F-FAraG PET and MRI. J Nucl Med 2022; 63:140-146. [PMID: 33837066 PMCID: PMC8717198 DOI: 10.2967/jnumed.120.259325] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/26/2021] [Indexed: 11/24/2022] Open
Abstract
Lymphocytes and innate immune cells are key drivers of multiple sclerosis (MS) and are the main target of MS disease-modifying therapies (DMT). Ex vivo analyses of MS lesions have revealed cellular heterogeneity and variable T cell levels, which may have important implications for patient stratification and choice of DMT. Although MRI has proven valuable to monitor DMT efficacy, its lack of specificity for cellular subtypes highlights the need for complementary methods to improve lesion characterization. Here, we evaluated the potential of 2'-deoxy-2'-18F-fluoro-9-β-d-arabinofuranosylguanine (18F-FAraG) PET imaging to noninvasively assess infiltrating T cells and to provide, in combination with MRI, a novel tool to determine lesion types. Methods: We used a novel MS mouse model that combines cuprizone and experimental autoimmune encephalomyelitis to reproducibly induce 2 brain inflammatory lesion types, differentiated by their T cell content. 18F-FAraG PET imaging, T2-weighted MRI, and T1-weighted contrast-enhanced MRI were performed before disease induction, during demyelination with high levels of innate immune cells, and after T cell infiltration. Fingolimod immunotherapy was used to evaluate the ability of PET and MRI to detect therapy response. Ex vivo immunofluorescence analyses for T cells, microglia/macrophages, myelin, and blood-brain barrier (BBB) integrity were performed to validate the in vivo findings. Results:18F-FAraG signal was significantly increased in the brain and spinal cord at the time point of T cell infiltration. 18F-FAraG signal from white matter (corpus callosum) and gray matter (cortex, hippocampus) further correlated with T cell density. T2-weighted MRI detected white matter lesions independently of T cells. T1-weighted contrast-enhanced MRI indicated BBB disruption at the time point of T cell infiltration. Fingolimod treatment prevented motor deficits and decreased T cell and microglia/macrophage levels. In agreement, 18F-FAraG signal was decreased in the brain and spinal cord of fingolimod-treated mice; T1-weighted contrast-enhanced MRI revealed intact BBB, whereas T2-weighted MRI findings remained unchanged. Conclusion: The combination of MRI and 18F-FAraG PET enables detection of inflammatory demyelination and T cell infiltration in an MS mouse model, providing a new way to evaluate lesion heterogeneity during disease progression and after DMT. On clinical translation, these methods hold great potential for stratifying patients, monitoring MS progression, and determining therapy responses.
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Affiliation(s)
- Caroline Guglielmetti
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, California;
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Jelena Levi
- CellSight Technologies, Inc., San Francisco, California
| | - Tony L Huynh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Brice Tiret
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Ryan Tang
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Henry VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Myriam M Chaumeil
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, California
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
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12
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Li XG, Velikyan I, Viitanen R, Roivainen A. PET radiopharmaceuticals for imaging inflammatory diseases. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00075-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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13
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The Role of Molecular Imaging as a Marker of Remyelination and Repair in Multiple Sclerosis. Int J Mol Sci 2021; 23:ijms23010474. [PMID: 35008899 PMCID: PMC8745199 DOI: 10.3390/ijms23010474] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/26/2021] [Accepted: 12/29/2021] [Indexed: 12/14/2022] Open
Abstract
The appearance of new disease-modifying therapies in multiple sclerosis (MS) has revolutionized our ability to fight inflammatory relapses and has immensely improved patients’ quality of life. Although remarkable, this achievement has not carried over into reducing long-term disability. In MS, clinical disability progression can continue relentlessly irrespective of acute inflammation. This “silent” disease progression is the main contributor to long-term clinical disability in MS and results from chronic inflammation, neurodegeneration, and repair failure. Investigating silent disease progression and its underlying mechanisms is a challenge. Standard MRI excels in depicting acute inflammation but lacks the pathophysiological lens required for a more targeted exploration of molecular-based processes. Novel modalities that utilize nuclear magnetic resonance’s ability to display in vivo information on imaging look to bridge this gap. Displaying the CNS through a molecular prism is becoming an undeniable reality. This review will focus on “molecular imaging biomarkers” of disease progression, modalities that can harmoniously depict anatomy and pathophysiology, making them attractive candidates to become the first valid biomarkers of neuroprotection and remyelination.
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14
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Positron emission tomography in multiple sclerosis - straight to the target. Nat Rev Neurol 2021; 17:663-675. [PMID: 34545219 DOI: 10.1038/s41582-021-00537-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2021] [Indexed: 02/08/2023]
Abstract
Following the impressive progress in the treatment of relapsing-remitting multiple sclerosis (MS), the major challenge ahead is the development of treatments to prevent or delay the irreversible accumulation of clinical disability in progressive forms of the disease. The substrate of clinical progression is neuro-axonal degeneration, and a deep understanding of the mechanisms that underlie this process is a precondition for the development of therapies for progressive MS. PET imaging involves the use of radiolabelled compounds that bind to specific cellular and metabolic targets, thereby enabling direct in vivo measurement of several pathological processes. This approach can provide key insights into the clinical relevance of these processes and their chronological sequence during the disease course. In this Review, we focus on the contribution that PET is making to our understanding of extraneuronal and intraneuronal mechanisms that are involved in the pathogenesis of irreversible neuro-axonal damage in MS. We consider the major challenges with the use of PET in MS and the steps necessary to realize clinical benefits of the technique. In addition, we discuss the potential of emerging PET tracers and future applications of existing compounds to facilitate the identification of effective neuroprotective treatments for patients with MS.
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15
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Xie L, Hu K, Duo Y, Shimokawa T, Kumata K, Zhang Y, Jiang C, Zhang L, Nengaki N, Wakizaka H, Cao Y, Zhang MR. Off-tumor IDO1 target engagements determine the cancer-immune set point and predict the immunotherapeutic efficacy. J Immunother Cancer 2021; 9:jitc-2021-002616. [PMID: 34148865 PMCID: PMC8237741 DOI: 10.1136/jitc-2021-002616] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2021] [Indexed: 12/30/2022] Open
Abstract
Background Indoleamine-2,3-dioxygenase 1 (IDO1) has been intensively pursued as a therapeutic target to reverse the immunosuppressive cancer-immune milieu and promote tumor elimination. However, recent failures of phase III clinical trials with IDO1 inhibitors involved in cancer immunotherapies highlight the urgent need to develop appropriate methods for tracking IDO1 when the cancer-immune milieu is therapeutically modified. Methods We utilized a small-molecule radiotracer, 11C-l-1MTrp, to quantitatively and longitudinally visualize whole-body IDO1 dynamics. Specifically, we first assessed 11C-l-1MTrp in mice-bearing contralateral human tumors with distinct IDO1 expression patterns. Then, we applied 11C-l-1MTrp to longitudinally monitor whole-body IDO1 variations in immunocompetent melanoma-bearing mice treated with 1-methyl-l-tryptophan plus either chemotherapeutic drugs or antibodies targeting programmedcell death 1 and cytotoxic T-lymphocyte-associated protein 4. Results 11C-l-1MTrp positron emission tomography (PET) imaging accurately delineated IDO1 expression in xenograft mouse models. Moreover, we were able to visualize dynamic IDO1 regulation in the mesenteric lymph nodes (MLNs), an off-tumor IDO1 target, where the percentage uptake of 11C-l-1MTrp accurately annotated the therapeutic efficacy of multiple combination immunotherapies in preclinical models. Remarkably, 11C-l-1MTrp signal intensity in the MLNs was inversely related to the specific growth rates of treated tumors, suggesting that IDO1 expression in the MLNs can serve as a new biomarker of the cancer-immune set point. Conclusions PET imaging of IDO1 with 11C-l-1MTrp is a robust method to assess the therapeutic efficacy of multiple combinatorial immunotherapies, improving our understanding of the merit and challenges of IDO1 regimens. Further validation of this animal data in humans is ongoing. We envision that our results will provide a potential precision medicine paradigm for noninvasive visualizing each patient’s individual response in combinatorial cancer immunotherapy, and tailoring optimal personalized combination strategies.
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Affiliation(s)
- Lin Xie
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Kuan Hu
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Yanhong Duo
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Takashi Shimokawa
- Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Katsushi Kumata
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Yiding Zhang
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Cuiping Jiang
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Lulu Zhang
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Nobuki Nengaki
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Hidekatsu Wakizaka
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Yihai Cao
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - Ming-Rong Zhang
- Department of Advanced Nuclear Medicine Sciences, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
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16
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Wu AM, James ML, Kodukulla MI. Sanjiv Sam Gambhir (1962–2020). Nat Biomed Eng 2021. [DOI: 10.1038/s41551-020-00668-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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17
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18
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Bu L, Sun Y, Han G, Tu N, Xiao J, Wang Q. Outcome Prediction and Evaluation by Imaging the Key Elements of Therapeutic Responses to Cancer Immunotherapies Using PET. Curr Pharm Des 2020; 26:675-687. [PMID: 31465273 DOI: 10.2174/1381612825666190829150302] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 08/21/2019] [Indexed: 12/23/2022]
Abstract
Cancer immunotherapy (also known as immuno-oncology), a promising anti-cancer strategy by harnessing the body's own immune system against cancer, has emerged as the "fifth therapeutic pilla" in the field of cancer treatment since surgery, chemotherapy, radiation and targeted therapy. Clinical efficacy of several immunotherapies has been demonstrated in clinical settings, however, only a small subset of patients exhibit dramatic or durable responses, with the highest reported frequency about 10-40% from single-agent PD-L1/PD-1 inhibitors, suggesting the urgent need of consistent objective response biomarkers for monitoring therapeutic response accurately, predicting therapeutic efficacy and selecting responders. Key elements of therapeutic responses to cancer immunotherapies contain the cancer cell response and the alternation of inherent immunological characteristics. Here, we document the literature regarding imaging the key elements of therapeutic responses to cancer immunotherapies using PET. We discussed PET imaging approaches according to different response mechanisms underlying diverse immune-therapeutic categories, and also highlight the ongoing efforts to identify novel immunotherapeutic PET imaging biomarkers. In this article, we show that PET imaging of the key elements of therapeutic responses to cancer immunotherapies using PET can allow for more precise prediction, earlier therapy response monitoring, and improved management. However, all of these strategies need more preclinical study and clinical validation before further development as imaging indicators of the immune response.
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Affiliation(s)
- Lihong Bu
- PET-CT/MRI Center, Faculty of Radiology and Nuclear Medicine, Wuhan University Renmin Hospital, Wuhan, Hubei, China
| | - Yanqiu Sun
- Department of Radiology, Qinghai Provincial People's Hospital, Xining, Qinghai, China
| | - Guang Han
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ning Tu
- PET-CT/MRI Center, Faculty of Radiology and Nuclear Medicine, Wuhan University Renmin Hospital, Wuhan, Hubei, China
| | - Jiachao Xiao
- PET-CT/MRI Center, Faculty of Radiology and Nuclear Medicine, Wuhan University Renmin Hospital, Wuhan, Hubei, China
| | - Qi Wang
- The 1st Department of Gastrointestinal Surgery, Wuhan University Renmin Hospital, Wuhan, Hubei, China
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19
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Stevens MY, Cropper HC, Lucot KL, Chaney AM, Lechtenberg KJ, Jackson IM, Buckwalter MS, James ML. Development of a CD19 PET tracer for detecting B cells in a mouse model of multiple sclerosis. J Neuroinflammation 2020; 17:275. [PMID: 32948198 PMCID: PMC7501720 DOI: 10.1186/s12974-020-01880-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/23/2020] [Indexed: 01/11/2023] Open
Abstract
Background B cells play a central role in multiple sclerosis (MS) through production of injurious antibodies, secretion of pro-inflammatory cytokines, and antigen presentation. The therapeutic success of monoclonal antibodies (mAbs) targeting B cells in some but not all individuals suffering from MS highlights the need for a method to stratify patients and monitor response to treatments in real-time. Herein, we describe the development of the first CD19 positron emission tomography (PET) tracer, and its evaluation in a rodent model of MS, experimental autoimmune encephalomyelitis (EAE). Methods Female C57BL/6 J mice were induced with EAE through immunization with myelin oligodendrocyte glycoprotein (MOG1–125). PET imaging of naïve and EAE mice was performed 19 h after administration of [64Cu]CD19-mAb. Thereafter, radioactivity in organs of interest was determined by gamma counting, followed by ex vivo autoradiography of central nervous system (CNS) tissues. Anti-CD45R (B220) immunostaining of brain tissue from EAE and naïve mice was also conducted. Results Radiolabelling of DOTA-conjugated CD19-mAb with 64Cu was achieved with a radiochemical purity of 99% and molar activity of 2 GBq/μmol. Quantitation of CD19 PET images revealed significantly higher tracer binding in whole brain of EAE compared to naïve mice (2.02 ± 0.092 vs. 1.68 ± 0.06 percentage of injected dose per gram, % ID/g, p = 0.0173). PET findings were confirmed by ex vivo gamma counting of perfused brain tissue (0.22 ± 0.020 vs. 0.12 ± 0.003 % ID/g, p = 0.0010). Moreover, ex vivo autoradiography of brain sections corresponded with PET imaging results and the spatial distribution of B cells observed in B220 immunohistochemistry—providing further evidence that [64Cu]CD19-mAb enables visualization of B cell infiltration into the CNS of EAE mice. Conclusion CD19-PET imaging can be used to detect elevated levels of B cells in the CNS of EAE mice, and has the potential to impact the way we study, monitor, and treat clinical MS.
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Affiliation(s)
- Marc Y Stevens
- Department of Radiology, Molecular Imaging Program at Stanford, 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Haley C Cropper
- Department of Radiology, Molecular Imaging Program at Stanford, 1201 Welch Rd, Stanford, CA, 94305, USA
| | | | - Aisling M Chaney
- Department of Radiology, Molecular Imaging Program at Stanford, 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Kendra J Lechtenberg
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Isaac M Jackson
- Department of Radiology, Molecular Imaging Program at Stanford, 1201 Welch Rd, Stanford, CA, 94305, USA
| | - Marion S Buckwalter
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Michelle L James
- Department of Radiology, Molecular Imaging Program at Stanford, 1201 Welch Rd, Stanford, CA, 94305, USA. .,Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA.
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20
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Alam IS, Simonetta F, Scheller L, Mayer AT, Murty S, Vermesh O, Nobashi TW, Lohmeyer JK, Hirai T, Baker J, Lau KH, Negrin R, Gambhir SS. Visualization of Activated T Cells by OX40-ImmunoPET as a Strategy for Diagnosis of Acute Graft-versus-Host Disease. Cancer Res 2020; 80:4780-4790. [PMID: 32900772 DOI: 10.1158/0008-5472.can-20-1149] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/09/2020] [Accepted: 08/27/2020] [Indexed: 11/16/2022]
Abstract
Graft-versus-host disease (GvHD) is a major complication of allogeneic hematopoietic cell transplantation (HCT), mediated primarily by donor T cells that become activated and attack host tissues. Noninvasive strategies detecting T-cell activation would allow for early diagnosis and possibly more effective management of HCT recipients. PET imaging is a sensitive and clinically relevant modality ideal for GvHD diagnosis, and there is a strong rationale for the use of PET tracers that can monitor T-cell activation and expansion with high specificity. The TNF receptor superfamily member OX40 (CD134) is a cell surface marker that is highly specific for activated T cells, is upregulated during GvHD, and mediates disease pathogenesis. We recently reported the development of an antibody-based activated T-cell imaging agent targeting OX40. In the present study, we visualize the dynamics of OX40 expression in an MHC-mismatch mouse model of acute GvHD using OX40-immunoPET. This approach enabled visualization of T-cell activation at early stages of disease, prior to overt clinical symptoms with high sensitivity and specificity. This study highlights the potential utility of the OX40 PET imaging as a new strategy for GvHD diagnosis and therapy monitoring. SIGNIFICANCE: OX40-immunoPET imaging is a promising noninvasive strategy for early detection of GvHD, capable of detecting signs of GvHD pathology even prior to the development of overt clinical symptoms.
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Affiliation(s)
- Israt S Alam
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California.
| | - Federico Simonetta
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California
| | - Lukas Scheller
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California
| | - Aaron T Mayer
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California.,Departments of Bioengineering and Materials Science and Engineering, Bio-X, Stanford University, Stanford, California
| | - Surya Murty
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California.,Departments of Bioengineering and Materials Science and Engineering, Bio-X, Stanford University, Stanford, California
| | - Ophir Vermesh
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California
| | - Tomomi W Nobashi
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California
| | - Juliane K Lohmeyer
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California
| | - Toshihito Hirai
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California
| | - Jeanette Baker
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California
| | - Kenneth H Lau
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California
| | - Robert Negrin
- Division of Blood and Marrow Transplantation, Department of Medicine, Stanford University, Stanford, California.
| | - Sanjiv S Gambhir
- Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, California.,Departments of Bioengineering and Materials Science and Engineering, Bio-X, Stanford University, Stanford, California
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21
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Jain P, Chaney AM, Carlson ML, Jackson IM, Rao A, James ML. Neuroinflammation PET Imaging: Current Opinion and Future Directions. J Nucl Med 2020; 61:1107-1112. [PMID: 32620705 DOI: 10.2967/jnumed.119.229443] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 05/20/2020] [Indexed: 02/06/2023] Open
Abstract
Neuroinflammation is a key pathologic hallmark of numerous neurologic diseases, however, its exact role in vivo is yet to be fully understood. PET imaging enables investigation, quantification, and tracking of different neuroinflammation biomarkers in living subjects longitudinally. One such biomarker that has been imaged extensively using PET is translocator protein 18 kDa (TSPO). Although imaging TSPO has yielded valuable clinical data linking neuroinflammation to various neurodegenerative diseases, considerable limitations of TSPO PET have prompted identification of other more cell-specific and functionally relevant biomarkers. This review analyzes the clinical potential of available and emerging PET biomarkers of innate and adaptive immune responses, with mention of exciting future directions for the field.
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Affiliation(s)
- Poorva Jain
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California
| | - Aisling M Chaney
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California
| | - Mackenzie L Carlson
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California.,Department of Bioengineering, Stanford University, Stanford, California; and
| | - Isaac M Jackson
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California
| | - Anoushka Rao
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California
| | - Michelle L James
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California .,Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
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22
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Chen BY, Ghezzi C, Villegas B, Quon A, Radu CG, Witte ON, Clark PM. 18F-FAC PET Visualizes Brain-Infiltrating Leukocytes in a Mouse Model of Multiple Sclerosis. J Nucl Med 2020; 61:757-763. [PMID: 31653711 PMCID: PMC7198381 DOI: 10.2967/jnumed.119.229351] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 10/07/2019] [Indexed: 12/26/2022] Open
Abstract
Brain-infiltrating leukocytes contribute to multiple sclerosis (MS) and autoimmune encephalomyelitis and likely play a role in traumatic brain injury, seizure, and stroke. Brain-infiltrating leukocytes are also primary targets for MS disease-modifying therapies. However, no method exists for noninvasively visualizing these cells in a living organism. 1-(2'-deoxy-2'-18F-fluoroarabinofuranosyl) cytosine (18F-FAC) is a PET radiotracer that measures deoxyribonucleoside salvage and accumulates preferentially in immune cells. We hypothesized that 18F-FAC PET could noninvasively image brain-infiltrating leukocytes. Methods: Healthy mice were imaged with 18F-FAC PET to quantify if this radiotracer crosses the blood-brain barrier (BBB). Experimental autoimmune encephalomyelitis (EAE) is a mouse disease model with brain-infiltrating leukocytes. To determine whether 18F-FAC accumulates in brain-infiltrating leukocytes, EAE mice were analyzed with 18F-FAC PET, digital autoradiography, and immunohistochemistry, and deoxyribonucleoside salvage activity in brain-infiltrating leukocytes was analyzed ex vivo. Fingolimod-treated EAE mice were imaged with 18F-FAC PET to assess if this approach can monitor the effect of an immunomodulatory drug on brain-infiltrating leukocytes. PET scans of individuals injected with 2-chloro-2'-deoxy-2'-18F-fluoro-9-β-d-arabinofuranosyl-adenine (18F-CFA), a PET radiotracer that measures deoxyribonucleoside salvage in humans, were analyzed to evaluate whether 18F-CFA crosses the human BBB. Results:18F-FAC accumulates in the healthy mouse brain at levels similar to 18F-FAC in the blood (2.54 ± 0.2 and 3.04 ± 0.3 percentage injected dose per gram, respectively) indicating that 18F-FAC crosses the BBB. EAE mice accumulate 18F-FAC in the brain at 180% of the levels of control mice. Brain 18F-FAC accumulation localizes to periventricular regions with significant leukocyte infiltration, and deoxyribonucleoside salvage activity is present at similar levels in brain-infiltrating T and innate immune cells. These data suggest that 18F-FAC accumulates in brain-infiltrating leukocytes in this model. Fingolimod-treated EAE mice accumulate 18F-FAC in the brain at 37% lower levels than control-treated EAE mice, demonstrating that 18F-FAC PET can monitor therapeutic interventions in this mouse model. 18F-CFA accumulates in the human brain at 15% of blood levels (0.08 ± 0.01 and 0.54 ± 0.07 SUV, respectively), indicating that 18F-CFA does not cross the BBB in humans. Conclusion:18F-FAC PET can visualize brain-infiltrating leukocytes in a mouse MS model and can monitor the response of these cells to an immunomodulatory drug. Translating this strategy into humans will require exploring additional radiotracers.
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Affiliation(s)
- Bao Ying Chen
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Crump Institute for Molecular Imaging, UCLA, Los Angeles, California
| | - Chiara Ghezzi
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Crump Institute for Molecular Imaging, UCLA, Los Angeles, California
| | - Brendon Villegas
- Department of Pulmonary and Critical Care Medicine, UCLA, Los Angeles, California
| | - Andrew Quon
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Ahmanson Translational Imaging Division, UCLA, Los Angeles, California
| | - Caius G Radu
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Ahmanson Translational Imaging Division, UCLA, Los Angeles, California
| | - Owen N Witte
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, California; and
- Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, California
| | - Peter M Clark
- Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
- Crump Institute for Molecular Imaging, UCLA, Los Angeles, California
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, California; and
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23
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Xiao Z, Mayer AT, Nobashi TW, Gambhir SS. ICOS Is an Indicator of T-cell-Mediated Response to Cancer Immunotherapy. Cancer Res 2020; 80:3023-3032. [PMID: 32156777 DOI: 10.1158/0008-5472.can-19-3265] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 01/17/2020] [Accepted: 03/06/2020] [Indexed: 11/16/2022]
Abstract
Immunotherapy is innovating clinical cancer management. Nevertheless, only a small fraction of patient's benefit from current immunotherapies. To improve clinical management of cancer immunotherapy, it is critical to develop strategies for response monitoring and prediction. In this study, we describe inducible T-cell costimulator (ICOS) as a conserved mediator of immune response across multiple therapy strategies. ICOS expression was evaluated by flow cytometry, 89Zr-DFO-ICOS mAb PET/CT imaging was performed on Lewis lung cancer models treated with different immunotherapy strategies, and the change in tumor volume was used as a read-out for therapeutic response. ImmunoPET imaging of ICOS enabled sensitive and specific detection of activated T cells and early benchmarking of immune response. A STING (stimulator of interferon genes) agonist was identified as a promising therapeutic approach in this manner. The STING agonist generated significantly stronger immune responses as measured by ICOS ImmunoPET and delayed tumor growth compared with programmed death-1 checkpoint blockade. More importantly, ICOS ImmunoPET enabled early and robust prediction of therapeutic response across multiple treatment regimens. These data show that ICOS is an indicator of T-cell-mediated immune response and suggests ICOS ImmunoPET as a promising strategy for monitoring, comparing, and predicting immunotherapy success in cancer. SIGNIFICANCE: ICOS ImmunoPET is a promising strategy to noninvasively predict and monitor immunotherapy response.See related commentary by Choyke, p. 2975.
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Affiliation(s)
- Zunyu Xiao
- Department of Radiology, Stanford University School of Medicine, Stanford, California.,Molecular Imaging Research Center of Harbin Medical University, Harbin, Heilongjiang, China
| | - Aaron T Mayer
- Department of Radiology, Stanford University School of Medicine, Stanford, California.,Department of Bioengineering, Stanford University, Stanford, California
| | - Tomomi W Nobashi
- Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Sanjiv S Gambhir
- Department of Radiology, Stanford University School of Medicine, Stanford, California. .,Department of Bioengineering, Stanford University, Stanford, California.,Department of Materials Science and Engineering, Stanford University, Stanford, California.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.,Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Stanford, California.,Bio-X Program at Stanford, Stanford University, Stanford, California
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Al-Ani MR, Raju TK, Hachim MY, Hachim IY, Elemam NM, Guimei M, Bendardaf R, Maghazachi AA. Rituximab Prevents the Development of Experimental Autoimmune Encephalomyelitis (EAE): Comparison with Prophylactic, Therapeutic or Combinational Regimens. J Inflamm Res 2020; 13:151-164. [PMID: 32214838 PMCID: PMC7082624 DOI: 10.2147/jir.s243514] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 02/20/2020] [Indexed: 12/20/2022] Open
Abstract
Objective To investigate, in detail, the effects of rituximab (RTX), an off-label drug for treating multiple sclerosis (MS) disease on preventing and/or ameliorating experimental autoimmune encephalomyelitis (EAE). Methods Using bioinformatics analysis of publicly available transcriptomics data, we determined the accumulation of B cells, plasma cells and T cells in different compartments of multiple sclerosis patients (MS) and healthy individual brains. Based on these observations and on the literature search, we dosed RTX in EAE mice either orally, or injected intraperitoneally (IP). The latter route was used either prophylactically (asymptomatic stage; upon the induction of the disease), or therapeutically (acute stage; upon the appearance of the first sign of the disease). Further, we used RTX as a preventive drug either as a single agent or in combination with other routes of administration. Results Because no complete recovery was observed when RTX was used prophylactically or therapeutically, we devised another protocol of injecting this drug before the onset of the disease and designated this regiment as prevention. We demonstrated that the 20 μg/mouse prevention completely reduced the EAE clinical score, impaired infiltration of T and B cells into the perivascular space of mice brains, along with inhibiting the inflammation and demyelination. However, the 5 and 10 μg/mouse doses although reduced all aspects of inflammation in these mice, their effects were not as potent as the 20 μg/mouse RTX dose. Finally, we combined the 5 μg/mouse prevention treatment with either the prophylactic or therapeutic regimen and observed a robust effect. Conclusion We observed that combinatorial regimens resulted in further reduction of inflammation, T and B cell extravasation into the brains of EAE mice and improved the re-myelination.
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Affiliation(s)
- Mena R Al-Ani
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates
| | - Tom K Raju
- Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah 27272, United Arabs Emirates
| | - Mahmood Y Hachim
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates.,Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah 27272, United Arabs Emirates
| | - Ibrahim Y Hachim
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates
| | - Noha M Elemam
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates.,Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah 27272, United Arabs Emirates
| | - Maha Guimei
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates.,Alexandria University, Alexandria, Egypt
| | | | - Azzam A Maghazachi
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah, 27272, United Arabs Emirates.,Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah 27272, United Arabs Emirates
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25
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Li J, Van Valkenburgh J, Hong X, Conti PS, Zhang X, Chen K. Small molecules as theranostic agents in cancer immunology. Theranostics 2019; 9:7849-7871. [PMID: 31695804 PMCID: PMC6831453 DOI: 10.7150/thno.37218] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Accepted: 09/10/2019] [Indexed: 12/24/2022] Open
Abstract
With further research into the molecular mechanisms and roles linking immune suppression and restraint of (pre)malignancies, immunotherapies have revolutionized clinical strategies in the treatment of cancer. However, nearly 70% of patients who received immune checkpoint therapeutics showed no response. Complementary and/or synergistic effects may occur when extracellular checkpoint antibody blockades combine with small molecules targeting intracellular signal pathways up/downstream of immune checkpoints or regulating the innate and adaptive immune response. After radiolabeling with radionuclides, small molecules can also be used for estimating treatment efficacy of immune checkpoint blockades. This review not only highlights some significant intracellular pathways and immune-related targets such as the kynurenine pathway, purinergic signaling, the kinase signaling axis, chemokines, etc., but also summarizes some attractive and potentially immunosuppression-related small molecule agents, which may be synergistic with extracellular immune checkpoint blockade. In addition, opportunities for small molecule-based theranostics in cancer immunology will be discussed.
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Affiliation(s)
- Jindian Li
- Molecular Imaging Center, Department of Radiology, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC103, Los Angeles, CA 90033, USA
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Juno Van Valkenburgh
- Molecular Imaging Center, Department of Radiology, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC103, Los Angeles, CA 90033, USA
| | - Xingfang Hong
- Laboratory of Pathogen Biology, School of Basic Medical Sciences, Dali University, Dali 671000, China
| | - Peter S. Conti
- Molecular Imaging Center, Department of Radiology, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC103, Los Angeles, CA 90033, USA
| | - Xianzhong Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Kai Chen
- Molecular Imaging Center, Department of Radiology, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC103, Los Angeles, CA 90033, USA
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26
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Lee HJ, Ehlerding EB, Cai W. Antibody-Based Tracers for PET/SPECT Imaging of Chronic Inflammatory Diseases. Chembiochem 2019; 20:422-436. [PMID: 30240550 PMCID: PMC6377337 DOI: 10.1002/cbic.201800429] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Indexed: 12/18/2022]
Abstract
Chronic inflammatory diseases are often progressive, resulting not only in physical damage to patients but also social and economic burdens, making early diagnosis of them critical. Nuclear medicine techniques can enhance the detection of inflammation by providing functional as well as anatomical information when combined with other modalities such as magnetic resonance imaging, computed tomography or ultrasonography. Although small molecules and peptides were mainly used for the treatment and imaging of chronic inflammatory diseases in the past, antibodies and their fragments have also been emerging for chronic inflammatory diseases as they show high specificity to their targets and can have various biological half-lives depending on how they are engineered. In addition, imaging with antibodies or their fragments can visualize the in vivo biodistribution of the probes or help monitor therapeutic responses, thereby providing physicians with a greater understanding of drug behavior in vivo and another means of monitoring their patients. In this review, we introduce various targets and radiolabeled antibody-based probes for the molecular imaging of chronic inflammatory diseases in preclinical and clinical studies. Targets can be classified into three different categories: 1) cell-adhesion molecules, 2) surface markers on immune cells, and 3) cytokines or enzymes. The limitations and future directions of using radiolabeled antibodies for imaging inflammatory diseases are also discussed.
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Affiliation(s)
- Hye Jin Lee
- Pharmaceutical Sciences Department, University of Wisconsin – Madison, Madison WI 53705, USA
| | - Emily B. Ehlerding
- Medical Physics Department, University of Wisconsin – Madison, Madison WI 53705, USA
| | - Weibo Cai
- Pharmaceutical Sciences Department, University of Wisconsin – Madison, Madison WI 53705, USA
- Medical Physics Department, University of Wisconsin – Madison, Madison WI 53705, USA
- Department of Radiology and Carbone Cancer Center, University of Wisconsin – Madison, Madison WI 53705, USA
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Allen KJH, Jiao R, Malo ME, Frank C, Dadachova E. Biodistribution of a Radiolabeled Antibody in Mice as an Approach to Evaluating Antibody Pharmacokinetics. Pharmaceutics 2018; 10:pharmaceutics10040262. [PMID: 30563123 PMCID: PMC6320949 DOI: 10.3390/pharmaceutics10040262] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 11/21/2018] [Accepted: 12/01/2018] [Indexed: 12/14/2022] Open
Abstract
(1) Background: Monoclonal antibodies are used in the treatment of multiple conditions including cancer, autoimmune disorders, and infectious diseases. One of the initial steps in the selection of an antibody candidate for further pre-clinical development is determining its pharmacokinetics in small animal models. The use of mass spectrometry and other techniques to determine the fate of these antibodies is laborious and expensive. Here we describe a straightforward and highly reproducible methodology for utilizing radiolabeled antibodies for pharmacokinetics studies. (2) Methods: Commercially available bifunctional linker CHXA” and 111Indium radionuclide were used. A melanin-specific chimeric antibody A1 and an isotype matching irrelevant control A2 were conjugated with the CHXA”, and then radiolabeled with 111In. The biodistribution was performed at 4 and 24 h time points in melanoma tumor-bearing and healthy C57BL/6 female mice. (3) The biodistribution of the melanin-binding antibody showed the significant uptake in the tumor, which increased with time, and very low uptake in healthy melanin-containing tissues such as the retina of the eye and melanized skin. This biodistribution pattern in healthy tissues was very close to that of the isotype matching control antibody. (4) Conclusions: The biodistribution experiment allows us to assess the pharmacokinetics of both antibodies side by side and to make a conclusion regarding the suitability of specific antibodies for further development.
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Affiliation(s)
- Kevin J H Allen
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
| | - Rubin Jiao
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
| | - Mackenzie E Malo
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
| | - Connor Frank
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
| | - Ekaterina Dadachova
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
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28
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Abstract
The recent clinical success of cancer immunotherapy has renewed interest in the development of tools to image the immune system. In general, immunotherapies attempt to enable the body's own immune cells to seek out and destroy malignant disease. Molecular imaging of the cells and molecules that regulate immunity could provide unique insight into the mechanisms of action, and failure, of immunotherapies. In this article, we will provide a comprehensive overview of the current state-of-the-art immunoimaging toolbox with a focus on imaging strategies and their applications toward immunotherapy.
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Affiliation(s)
- Aaron T Mayer
- Department of Bioengineering, Stanford University, Stanford, California; and
| | - Sanjiv S Gambhir
- Department of Bioengineering, Stanford University, Stanford, California; and
- Department of Radiology, Department of Materials Science and Engineering, Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, California
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29
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Alam IS, Mayer AT, Sagiv-Barfi I, Wang K, Vermesh O, Czerwinski DK, Johnson EM, James ML, Levy R, Gambhir SS. Imaging activated T cells predicts response to cancer vaccines. J Clin Invest 2018; 128:2569-2580. [PMID: 29596062 DOI: 10.1172/jci98509] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 03/20/2018] [Indexed: 12/24/2022] Open
Abstract
In situ cancer vaccines are under active clinical investigation, given their reported ability to eradicate both local and disseminated malignancies. Intratumoral vaccine administration is thought to activate a T cell-mediated immune response, which begins in the treated tumor and cascades systemically. In this study, we describe a PET tracer (64Cu-DOTA-AbOX40) that enabled noninvasive and longitudinal imaging of OX40, a cell-surface marker of T cell activation. We report the spatiotemporal dynamics of T cell activation following in situ vaccination with CpG oligodeoxynucleotide in a dual tumor-bearing mouse model. We demonstrate that OX40 imaging was able to predict tumor responses on day 9 after treatment on the basis of tumor tracer uptake on day 2, with greater accuracy than both anatomical and blood-based measurements. These studies provide key insights into global T cell activation following local CpG treatment and indicate that 64Cu-DOTA-AbOX40 is a promising candidate for monitoring clinical cancer immunotherapy strategies.
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Affiliation(s)
- Israt S Alam
- Department of Radiology.,Molecular Imaging Program at Stanford
| | - Aaron T Mayer
- Department of Radiology.,Molecular Imaging Program at Stanford.,Department of Bioengineering, and
| | - Idit Sagiv-Barfi
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California, USA
| | - Kezheng Wang
- Department of Radiology.,Department of Radiology, The Fourth Hospital of Harbin Medical University and Molecular Imaging Center of Harbin Medical University, Harbin, China
| | - Ophir Vermesh
- Department of Radiology.,Molecular Imaging Program at Stanford
| | - Debra K Czerwinski
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California, USA
| | - Emily M Johnson
- Department of Radiology.,Molecular Imaging Program at Stanford.,Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Michelle L James
- Department of Radiology.,Molecular Imaging Program at Stanford.,Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Ronald Levy
- Division of Oncology, Department of Medicine, Stanford University, Stanford, California, USA
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30
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Mayer AT, Gambhir SS. Reply: Optimizing Strategies for Immune Checkpoint Imaging with Immuno-PET in Preclinical Study. J Nucl Med 2018; 59:711-712. [DOI: 10.2967/jnumed.117.205153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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