Slavich, G. M. Understanding inflammation, its regulation, and relevance for health: a top scientific and public priority. Brain Behav. Immun. 45, 13–14 (2015).
Google Scholar
Bennett, J. M., Reeves, G., Billman, G. E. & Sturmberg, J. P. Inflammation—nature’s way to efficiently respond to all types of challenges: implications for understanding and managing “the epidemic” of chronic diseases. Front. Med. 5, 316 (2018).
Google Scholar
Furman, D. et al. Chronic inflammation in the etiology of disease across the life span. Nat. Med. 25, 1822–1832 (2019).
Google Scholar
Roth, G. A. et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1736–1788 (2018).
Google Scholar
Wu, C., Li, F., Niu, G. & Chen, X. PET imaging of inflammation biomarkers. Theranostics 3, 448–466 (2013).
Google Scholar
Jamar, F. et al. EANM/SNMMI guideline for 18F-FDG use in inflammation and infection. J. Nucl. Med. 54, 647–658 (2013).
Google Scholar
Wahl, R. L., Dilsizian, V. & Palestro, C. J. At last, 18F-FDG for inflammation and infection! J. Nucl. Med. 62, 1048–1049 (2021).
Google Scholar
Pijl, J. P. et al. Limitations and pitfalls of FDG-PET/CT in infection and inflammation. Semin. Nucl. Med. 51, 633–645 (2021).
Google Scholar
Namavari, M. et al. Synthesis of 2′-deoxy-2′-[18F]fluoro-9-β-d-arabinofuranosylguanine: a novel agent for imaging T-cell activation with PET. Mol. Imaging Biol. 13, 812–818 (2011).
Google Scholar
Levi, J. et al. Imaging of activated T cells as an early predictor of immune response to anti-PD-1 therapy. Cancer Res. 79, 3455–3465 (2019).
Google Scholar
Derlin, T. et al. Imaging of chemokine receptor CXCR4 expression in culprit and nonculprit coronary atherosclerotic plaque using motion-corrected [68Ga]pentixafor PET/CT. Eur. J. Nucl. Med. Mol. Imaging 45, 1934–1944 (2018).
Google Scholar
Kist de Ruijter, L. et al. Whole-body CD8+ T cell visualization before and during cancer immunotherapy: a phase 1/2 trial. Nat. Med. 28, 2601–2610 (2022).
Google Scholar
Farwell, M. D. et al. CD8-targeted PET imaging of tumor-infiltrating T cells in patients with cancer: a phase I first-in-humans study of 89Zr-Df-IAB22M2C, a radiolabeled anti-CD8 minibody. J. Nucl. Med. 63, 720–726 (2022).
Google Scholar
Rashidian, M. et al. Immuno-PET identifies the myeloid compartment as a key contributor to the outcome of the antitumor response under PD-1 blockade. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1905005116 (2019).
Google Scholar
Nigam, S. et al. Preclinical ImmunoPET imaging of glioblastoma-infiltrating myeloid cells using zirconium-89 labeled anti-CD11b antibody. Mol. Imaging Biol. 22, 685–694 (2020).
Google Scholar
Gondry, O. et al. Phase I study of [68Ga]Ga-anti-CD206-sdAb for PET/CT assessment of protumorigenic macrophage presence in solid tumors (MMR phase I). J. Nucl. Med. https://doi.org/10.2967/jnumed.122.264853 (2023).
Google Scholar
Rheinländer, A., Schraven, B. & Bommhardt, U. CD45 in human physiology and clinical medicine. Immunol. Lett. 196, 22–32 (2018).
Google Scholar
Rossotti, M. et al. Streamlined method for parallel identification of single domain antibodies to membrane receptors on whole cells. Biochim. Biophys. Acta 1850, 1397–1404 (2015).
Google Scholar
Ren, J. et al. Induced CD45 proximity potentiates natural killer cell receptor antagonism. ACS Synth. Biol. 11, 3426–3439 (2022).
Google Scholar
Teunissen, A. J. P. et al. Employing nanobodies for immune landscape profiling by PET imaging in mice. STAR Protoc. 2, 100434 (2021).
Google Scholar
Rashidian, M. et al. Noninvasive imaging of immune responses. Proc. Natl Acad. Sci. USA 112, 6146–6151 (2015).
Google Scholar
Rashidian, M. et al. Predicting the response to CTLA-4 blockade by longitudinal noninvasive monitoring of CD8 T cells. J. Exp. Med. 214, 2243–2255 (2017).
Google Scholar
Van Elssen, C. H. M. J. et al. Noninvasive imaging of human immune responses in a human xenograft model of graft-versus-host disease. J. Nucl. Med. 58, 1003–1008 (2017).
Google Scholar
Pauwels, R. A. et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary. Am. J. Respir. Crit. Care Med. 163, 1256–1276 (2001).
Google Scholar
Cottin, V. Lung biopsy in interstitial lung disease: balancing the risk of surgery and diagnostic uncertainty. Eur. Respir. J. 48, 1274–1277 (2016).
Google Scholar
Khadangi, F. et al. Intranasal versus intratracheal exposure to lipopolysaccharides in a murine model of acute respiratory distress syndrome. Sci. Rep. 11, 7777 (2021).
Google Scholar
Matute-Bello, G. et al. An official American Thoracic Society workshop report: features and measurements of experimental acute lung injury in animals. Am. J. Respir. Cell Mol. Biol. 44, 725–738 (2011).
Google Scholar
Claesson-Welsh, L. Vascular permeability—the essentials. Ups. J. Med. Sci. 120, 135–143 (2015).
Google Scholar
de Prost, N. et al. 18F-FDG kinetics parameters depend on the mechanism of injury in early experimental acute respiratory distress syndrome. J. Nucl. Med. 55, 1871–1877 (2014).
Google Scholar
Rodrigues, R. S. et al. 18F-fluoro-2-deoxyglucose PET informs neutrophil accumulation and activation in lipopolysaccharide-induced acute lung injury. Nucl. Med. Biol. 48, 52–62 (2017).
Google Scholar
O’Sullivan, K. E. et al. The role of inflammation in cancer of the esophagus. Expert Rev. Gastroenterol. Hepatol. 8, 749–760 (2014).
Google Scholar
Negreanu, L. et al. Endoscopy in inflammatory bowel disease: from guidelines to real life. Ther. Adv. Gastroenterol. 12, 1756284819865153 (2019).
Google Scholar
Molinié, F. et al. Opposite evolution in incidence of Crohn’s disease and ulcerative colitis in Northern France (1988–1999). Gut 53, 843–848 (2004).
Google Scholar
Dmochowska, N., Wardill, H. R. & Hughes, P. A. Advances in imaging specific mediators of inflammatory bowel disease. Int. J. Mol. Sci. 19, 2471 (2018).
Google Scholar
Chassaing, B., Aitken, J. D., Malleshappa, M. & Vijay-Kumar, M. Dextran sulfate sodium (DSS)-induced colitis in mice. Curr. Protoc. Immunol. https://doi.org/10.1002/0471142735.im1525s104 (2014).
Google Scholar
Lemberg, D. A. et al. Positron emission tomography in the investigation of pediatric inflammatory bowel disease. Inflamm. Bowel Dis. 11, 733–738 (2005).
Google Scholar
Cronin, C. G. et al. Utility of positron emission tomography/CT in the evaluation of small bowel pathology. Br. J. Radiol. 85, 1211–1221 (2012).
Google Scholar
Bettenworth, D. et al. Translational 18F-FDG PET/CT imaging to monitor lesion activity in intestinal inflammation. J. Nucl. Med. 54, 748–755 (2013).
Google Scholar
Tuazon, S. A. et al. 90Y-labeled anti-CD45 antibody allogeneic hematopoietic cell transplantation for high-risk multiple myeloma. Bone Marrow Transplant. 56, 202–209 (2021).
Google Scholar
Khoury, H. J. et al. Improved survival after acute graft-versus-host disease diagnosis in the modern era. Haematologica 102, 958–966 (2017).
Google Scholar
Aslanian, H. et al. Prospective evaluation of acute graft-versus-host disease. Dig. Dis. Sci. 57, 720–725 (2012).
Google Scholar
Naserian, S. et al. Simple, reproducible, and efficient clinical grading system for murine models of acute graft-versus-host disease. Front. Immunol. 9, 10 (2018).
Google Scholar
Zamoyska, R. Why is there so much CD45 on T cells? Immunity 27, 421–423 (2007).
Google Scholar
Brandenburg, S. et al. Myeloid cells expressing high level of CD45 are associated with a distinct activated phenotype in glioma. Immunol. Res. 65, 757–768 (2017).
Google Scholar
Ahmed, M. G. T. et al. Differential regulation of CD45 expression on granulocytes, lymphocytes, and monocytes in COVID-19. J. Clin. Med. 11, 4219 (2022).
Google Scholar
Vo, P. et al. Yttrium-90-labeled anti-CD45 antibody followed by a reduced-intensity hematopoietic cell transplantation for patients with relapsed/refractory leukemia or myelodysplasia. Haematologica 105, 1731–1737 (2020).
Google Scholar
Pagel, J. M. et al. Allogeneic hematopoietic cell transplantation after conditioning with 131I-anti-CD45 antibody plus fludarabine and low-dose total body irradiation for elderly patients with advanced acute myeloid leukemia or high-risk myelodysplastic syndrome. Blood 114, 5444–5453 (2009).
Google Scholar
Stepanova, V. M. et al. Targeting CD45 by gene-edited CAR T cells for leukemia eradication and hematopoietic stem cell transplantation preconditioning. Mol. Ther. Oncol. 32, 200843 (2024).
Abousaway, O., Rakhshandehroo, T., Van den Abbeele, A. D., Kircher, M. F. & Rashidian, M. Noninvasive imaging of cancer immunotherapy. Nanotheranostics 5, 90–112 (2021).
Google Scholar
Zheng, Y., Tang, L., Mabardi, L., Kumari, S. & Irvine, D. J. Enhancing adoptive cell therapy of cancer through targeted delivery of small-molecule immunomodulators to internalizing or non-internalizing receptors. ACS Nano 11, 3089–3100 (2017).
Google Scholar
Mayer, M. et al. Imaging atherosclerosis by PET, with emphasis on the role of FDG and NaF as potential biomarkers for this disorder. Front. Physiol. 11, 511391 (2020).
Google Scholar
Larson, S. R. et al. Characterization of a highly effective preparation for suppression of myocardial glucose utilization. J. Nucl. Cardiol. 27, 849–861 (2020).
Google Scholar
Osborne, M. T. & Divakaran, S. Seeking clarity: insights from a highly effective preparation protocol for suppressing myocardial glucose uptake for PET imaging of cardiac inflammation. J. Nucl. Cardiol. 27, 862–864 (2020).
Google Scholar
Woudstra, L. et al. CD45 is a more sensitive marker than CD3 to diagnose lymphocytic myocarditis in the endomyocardium. Hum. Pathol. 62, 83–90 (2017).
Google Scholar
Soret, M., Bacharach, S. L. & Buvat, I. Partial-volume effect in PET tumor imaging. J. Nucl. Med. 48, 932–945 (2007).
Google Scholar
Divakaran, S. et al. Diagnostic accuracy of advanced imaging in cardiac sarcoidosis. Circ. Cardiovasc. Imaging 12, e008975 (2019).
Google Scholar
Guo, W. et al. PET/CT-guided percutaneous biopsy of FDG-avid metastatic bone lesions in patients with advanced lung cancer: a safe and effective technique. Eur. J. Nucl. Med. Mol. Imaging 44, 25–32 (2017).
Google Scholar
Castilla-Llorente, C. et al. Prognostic factors and outcomes of severe gastrointestinal GVHD after allogeneic hematopoietic cell transplantation. Bone Marrow Transplant. 49, 966–971 (2014).
Google Scholar
Jeong, H.-J., Abhiraman, G. C., Story, C. M., Ingram, J. R. & Dougan, S. K. Generation of Ca2+-independent sortase A mutants with enhanced activity for protein and cell surface labeling. PLoS ONE 12, e0189068 (2017).
Google Scholar
Vosjan, M. J. W. D. et al. Conjugation and radiolabeling of monoclonal antibodies with zirconium-89 for PET imaging using the bifunctional chelate p-isothiocyanatobenzyl-desferrioxamine. Nat. Protoc. 5, 739–743 (2010).
Google Scholar
Kim, J. J., Shajib, M. S., Manocha, M. M. & Khan, W. I. Investigating intestinal inflammation in DSS-induced model of IBD. J. Vis. Exp. https://doi.org/10.3791/3678 (2012).
Rahimi Koshkaki, H. et al. Immunohistochemical characterization of immune infiltrate in tumor microenvironment of glioblastoma. J. Pers. Med. 10, 112 (2020).
Google Scholar
Freise, A. C. et al. Immuno-PET in inflammatory bowel disease: imaging CD4-positive T cells in a murine model of colitis. J. Nucl. Med. 59, 980–985 (2018).
Google Scholar
