| Literature DB >> 32582173 |
Claire E McCarthy1, Jordan M White1, Nerissa T Viola1, Heather M Gibson1.
Abstract
The past two decades have brought impressive advancements in immune modulation, particularly with the advent of both cancer immunotherapy and biologic therapeutics for inflammatory conditions. However, the dynamic nature of the immune response often complicates the assessment of therapeutic outcomes. Innovative imaging technologies are designed to bridge this gap and allow non-invasive visualization of immune cell presence and/or function in real time. A variety of anatomical and molecular imaging modalities have been applied for this purpose, with each option providing specific advantages and drawbacks. Anatomical methods including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound provide sharp tissue resolution, which can be further enhanced with contrast agents, including super paramagnetic ions (for MRI) or nanobubbles (for ultrasound). Conjugation of the contrast material to an antibody allows for specific targeting of a cell population or protein of interest. Protein platforms including antibodies, cytokines, and receptor ligands are also popular choices as molecular imaging agents for positron emission tomography (PET), single-photon emission computerized tomography (SPECT), scintigraphy, and optical imaging. These tracers are tagged with either a radioisotope or fluorescent molecule for detection of the target. During the design process for immune-monitoring imaging tracers, it is important to consider any potential downstream physiologic impact. Antibodies may deplete the target cell population, trigger or inhibit receptor signaling, or neutralize the normal function(s) of soluble proteins. Alternatively, the use of cytokines or other ligands as tracers may stimulate their respective signaling pathways, even in low concentrations. As in vivo immune imaging is still in its infancy, this review aims to describe the modalities and immunologic targets that have thus far been explored, with the goal of promoting and guiding the future development and application of novel imaging technologies.Entities:
Keywords: computed tomography (CT); imaging; magnetic resonance imaging (MRI); optical imaging (OI); positron emission tomography (PET); scintigraphy; single-photon emission computed tomography (SPECT); ultrasound
Mesh:
Substances:
Year: 2020 PMID: 32582173 PMCID: PMC7280489 DOI: 10.3389/fimmu.2020.01067
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
An overview of PET, SPECT, and scintigraphy radioisotopes and their metal properties, half-life, and methods for labeling are provided for consideration of tracer development.
| PET | Non-metal | 11C | 20.4 min | [11C]methyl Iodide, [11C]methyl Triflate, Choline | ( |
| 18F | 109.7 min | ( | |||
| 76Br | 16.2 h | Direct bromination, bromine-labeled activated esters | ( | ||
| 124I | 4.18 d | Direct labeling | ( | ||
| Metal | 68Ga | 67.7 min | DOTA, NOTA | ( | |
| 44Sc | 3.97 h | DOTA | ( | ||
| 64Cu | 12.7 h | NOTA, DOTA, TETA | ( | ||
| 86Y | 14.7 h | DOTA, DTPA | ( | ||
| 55Co | 17.5 h | DOTA, HBED, TETA, NOTA | ( | ||
| 72As | 25.9 h | Direct labeling, Trithiol containing chelators and dithiol lipoic acid | ( | ||
| 89Zr | 3.27 d | DFO | ( | ||
| SPECT/ | Non-metal | 123I | 13.22 h | Direct labeling | ( |
| 131I | 8.02 d | Direct labeling | ( | ||
| Metal | 99mTc | 6.02 h | Diamide dithiols, triamide thiols, mapt, MAP, HyNic | ( | |
| 111In | 2.8 d | H4Octapa | ( | ||
| 67Ga | 3.26 d | DFO, NOTA, DOTA | ( | ||
| 177Lu | 6.65 d | DOTA | ( | ||
Of note, metal radionuclides can residualize, or remain, in the cell if their biological molecule is internalized. Non-metal radionuclides do not residualize. Residualizing radionuclides are beneficial for RIT and increased tumor-to-background ratios. DOTA, 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid; NOTA, 1,4,7-triazacyclononane-1,4,7-triacetic acid; TETA, triethylenetetramine; DTPA, diethylenetriamine pentaacetic acid; HBED, N,N′-bis (2-hydroxybenzyl) ethylenediamine-N,N′-diacetic acid; DFO, desferrioxamine; MAP, 2,3-bis(mercaptoacetamido)propanoate; mapt, 4,5-bis(thioacetamido)pentanoate; HyNic, 6-hydrazinonicotinamide.
Figure 1Currently utilized whole-body immune imaging technologies. Depending on the imaging modality, radioactive symbols may be interchanged with the appropriate tag (i.e., fluorescence, superparamagnetic iron oxide nanoparticles, nanobubbles, etc.). (Left to right) Cells can be directly labeled to track their location and migration. Antibody-based tracers can target molecules or receptors on the cell surface, as well as soluble protein such as cytokines. Proteins including cytokines, ligands, and peptides can also be directly labeled to detect cell populations expressing their receptors. Finally, reporter gene technology can be utilized to achieve specific labeling of adoptive cell populations (e.g. expression of the sodium/iodide symporter as a means of 99mTc pertechnetate uptake).
Figure 2Direct cell labeling was utilized to examine acute rejection in rats with renal allografts (aTx) compared to control kidneys (CTR), syngeneic xenografts (sTx), and models of ischemia-reperfusion injury (IRI), and acute Cyclosporin A toxicity (CSA) by examining 18F-FDG-labeled T cells uptake. They identified significantly higher CD3 accumulation in the acute rejection model compared to the aforementioned models. (A) Maximum intensity projection (MIP) whole-body PET images of rats imaged with 18F-FDG-labeled T cells to examine renal allograft rejection. (B) The accumulation of the T lymphocytes present in the kidneys is expressed as percent injected dose ± standard error of the mean (%ID ± SEM). This research was originally published in Grabner et al. (48). Permission to reproduce this image has been obtained from the Journal of Nuclear Medicine.
Pre-clinical studies of immune imaging methods and respective targets.
| Direct Cell Labeling | Adoptive T cells | SPECT-CT | 111In | Clonal expression of TCR specific to hyaluronan for CT26 (HA+) and CT44 (HA−) ( |
| CAR-T cells | SPECT-CT | 111In | Breast cancer, human squamous cell carcinoma ( | |
| PET | 89Zr | Murine xenograft models of glioblastoma and subcutaneous prostate tumors ( | ||
| Allogenic human T cells | PET | 18F-FDG | Renal transplanted rats ( | |
| Macrophages | MRI | SPION | Assessment of cancer, inflammation, infection and transplant rejection ( | |
| DCs | PET | 89Zr | 89Zr-DBN labeling of mouse DCs ( | |
| MRI | SPION | Track murine DCs trafficking to lymph nodes ( | ||
| Fe NP | DC based vaccination ( | |||
| MDSCs | MRI | SPION | MDSC biodistribution in murine hepatic colon cancer ( | |
| Reporter Gene Technology | FHBG | PET | 18F | HSV1-tk reporter gene expression in glioma ( |
| hdCKDM | PET | 18F-FEAU | dCKDM-transduced human PSMA CAR T cells in PSMA+ lung metastases of prostate cancer ( | |
| hdCK3mut | PET | 18F-L-FMAU | ACT monitoring ( | |
| eDHFR | PET | 18F-TMP | eDHFR-expressing anti-GD2 CAR-T cells in osteosarcoma and HCT116 colon cancer tumors ( | |
| Human sodium iodide symporter (hNIS) | SPECT/CT | 99mTcO4− | CAR-T cell therapy specificity and tracking ( | |
| Treg tracking ( | ||||
| PET/CT/BLI | 124I and firefly luciferase | BMDC trafficking ( | ||
| 18F-TFB and effluc gene | DC trafficking with murine DC2.4 ( | |||
| DC2.4/Effluc | BLI | effluc | Trafficking of murine DC2.4 co-expressing effluc and Thy1.1 ( | |
| hNET | PET or SPECT | 124/123I-MIBG | ACT monitoring vs. HSV-tk ( | |
| SSTR2 | PET | 68Ga-DOTATOC | ACT monitoring to 8505c-FLuc+GFP+ thyroid tumors | |
| hNET, hNIS, hdCKDM, HSV1-TK | PET or SPECT/CT | 18F-MFBG | Comparative study of reporter gene technology and T cell numbers ( | |
| DAbR1 | PET or SPECT | 86Y/177Lu-AABD | CAR-T tracking with genetically introduced single chain fragment of 2D12.5/G54C ( | |
| PSMA | PET | 18F-DCFPyL | Anti-CD19 CAR-T cells transduced with PSMA for CAR-T cell monitoring ( | |
| Antibodies to immune cell populations | CD3 | PET | 89Zr | Syngeneic bladder cancer BBN975 ( |
| Syngeneic colon cancer with CTLA-4 therapy ( | ||||
| Spontaneous mouse salivary and Neu+ mammary tumors ( | ||||
| Visilizumab (CD3) | Scintigraphy | 99mTc | HuT78 human lymphoma, human peripheral blood mononuclear cells ( | |
| [99mTc]OKT3 | Renal transplants ( | |||
| MRI | Acute collagen-induced arthritis in Lewis rats using IOPC ( | |||
| Ultrasound | Acute cardiac transplantation rejection in rats ( | |||
| Acute renal allograft rejection in rats ( | ||||
| CD2 | PET | 89Zr | Pan T-cell imaging in ML2 leukemia tumors ( | |
| CD7 | ||||
| CD8 | PET | 64Cu | Antigen-positive, antigen-negative, immunodeficient, antigen-blocked, and antigen-depleted mice ( | |
| 89Zr | Monitoring immunotherapy response in lymphoma and colorectal cancer ( | |||
| CD4 | SPECT-CT | 111In | Dextran sulfate sodium-induced colitis ( | |
| PET | 89Zr | Murine model of inflammatory bowel disease ( | ||
| CD20 | PET/CT | 89Zr | Lymphoma xenografts ( | |
| 64Cu | Humanized transgenic mouse model of B-cell non-Hodgkins lymphoma ( | |||
| 89Zr/124I | Malignant and normal B cells with obinutuzumab antibody fragments ( | |||
| 18F | Human B cell lymphoma ( | |||
| CD19 | PET | 64Cu | Multiple sclerosis ( | |
| CD11b | PET | 89Zr | Murine colitis ( | |
| Antibodies to Surface Costimulatory orCorepressor Molecules | Anti-PD-L1 | SPECT-CT | 111In | NSG mice with CHO-PD-L1, triple negative breast cancer (MDA-231, SUM-149), NSCLC (H2444 and H1155) ( |
| Breast cancer MDA-MB-231, SK-Br-3, SUM149, BT474, MCF-7) ( | ||||
| Optical Imaging | NIR Licor800 dye | NSG mice with CHO-PD-L1, triple negative breast cancer (MDA-231, SUM-149), NSCLC (H2444 and H1155) ( | ||
| PET | 64Cu | Breast cancer MDA-MB231, SUM-149, CHO-PD-L1 and CHO, syngeneic 4T1( | ||
| PET/CT | 18F/64Cu | Brown adipose tissue ( | ||
| 89Zr | LN229 glioblastoma ( | |||
| PD-1/PD-L1 | PET | 64Cu | Brown adipose tissue ( | |
| Anti-mouse-PD-1 | PET | 64Cu | B16F10 melanoma ( | |
| NSG/A375 melanoma ( | ||||
| CTLA-4 | PET | 64Cu | CT26 colorectal tumors ( | |
| NSCLC A549, H450 and H358 ( | ||||
| OX40 | PET | 64Cu | A20 Lymphoma ( | |
| Antibodies to cytokines | IFN-γ | PET | 89Zr | Mouse models of breast cancer ( |
| TGF-β | PET | 89Zr | Mouse ovarian and human triple negative breast cancer ( | |
| IL-1β | PET | 89Zr | Murine colitis ( | |
| Directly labeled cytokines, ligands and peptides | IL-2 | PET | 18F | TC-1 mouse lung tumors subjected to radiation therapy alone or combination with HPV vaccine ( |
| IL-12 | Scintigraphy | 99mTc | Imaging activated T lymphocytes and comparing biodistribution of mice with autoimmune colitis ( | |
| 14 kDa ectodomain fragment of PD-1 | PET | 64Cu | CT26 colorectal tumors ( | |
| WL12 | PET | 64Cu | Various human and murine xenograft models ( | |
| 68Ga | ||||
| 18F | ||||
| Granzyme B | PET | 68Ga | CT26 colorectal tumors ( |
TCR, T-cell receptor; HA, Hyaluronan; .
List of clinical studies for immune imaging.
| Direct Cell Labeling | TIL therapy | CT | Pulmonary metastases of metastatic melanoma ( | |
| CTL | Static Gamma Camera | 111In | Melanoma antigen Melan-A ( | |
| HER-2-specific T Cells | SPECT/PET/CT | 111In/18F-FDG | HER-2 overexpressing breast cancer ( | |
| Reporter Gene Technology | FHBG | PET | 18F | HSV1-tk reporter gene expression in Glioma ( |
| Antibodies to immune cell populations | CD3 | Scintigraphy | 99mTc | Rheumatoid arthritis, juvenile idiopathic arthritis, osteoarthritis & gouty arthritis ( |
| [99mTc]OKT3 | Rheumatoid arthritis synovitis ( | |||
| Rheumatoid arthritis and psoriatic arthritis for identification of inflamed synovium ( | ||||
| CD20 | PET/CT | 124I | Rheumatoid Arthritis ( | |
| Antibodies to cytokines | TNF-α | Scintigraphy | 99mTc | Refractory sarcoidosis ( |
| Directly labeled cytokines, ligands and peptides | IL-2 | Scintigraphy | 123I/99mTc | Crohn's, atherosclerosis and Type 1 diabetes ( |
| SPECT/MRI | 99mTc | Diabetes detection of insulitis in autoimmune diabetes in adults ( |
TIL, Tumor Infiltrating Lymphocyte; CTL, Cytotoxic T Lymphocyte; .
Figure 3Reporter gene technology. Tregs were transduced with a reporter gene for the Sodium Iodide Symporter (NIS) for specific 99m uptake. C57BL/6 mice were injected with NIS Tregs and injected 1 day later with 99m to examine Treg uptake in the spleen, demonstrating in vivo radiolabeling of Tregs. Mice were imaged by NanoSPECT/CT with a focus on the spleen (white arrow). This research was originally published in Sharif-Paghaleh et al. (74). Permission to reproduce this image has been obtained from the PLOS One.
Figure 4Antibody-based tracers. Antibody based tracers have been developed to target immune cell populations. However, one hurdle to overcome for some antibodies is Fc-mediated depletion. Tavaré et al. developed two 64Cu-NOTA anti-murine CD8 minibodies. (A) 64Cu-NOTA-2.43Mb exhibited targeted spleen uptake in B/6 mice. (B,C) Both the blocking cohort and CD8 depleted cohort displayed decreased spleen uptake (Upper images—Coronal MIPs, Lower images—Transverse). This research was originally published in Tavaré et al. (89). Permission to reproduce this image has been obtained from the Proceedings of the National Academy of Sciences of the United States of America.
Figure 5Antibody based tracers in non-cancerous diseases. ImmunoPET tracer development has also extended to immunogenic diseases such as Colitis. Freise et. al. imaged CD4+ T cells with 89Zr-malDFO-Gk1.5 cys-Diabody (cDb), to non-invasively monitor inflammation of the intestines caused by specific cell subsets. Ex vivo representative images of the colons, ceca and mesenteric lymph nodes (MLNs) are shown comparing tracer uptake in a dextran sulfate sodium (DSS) induced colitis model compared to control. The DSS mice had 3.1-, 3.9-, and 3.0-fold increased uptake in the colons, ceca, and MLNs, respectively. This research was originally published in Freise et al. (91). Permission to reproduce this image has been obtained from the Journal of Nuclear Medicine.
Figure 6Directly labeled cytokines, ligands and peptides. A high affinity consensus (HAC) of PD-1, 64Cu–DOTA–HAC, is an example of a directly labeled ligand that was used to target PD-L1. (A) The PET-CT images were acquired 1 h post injection in NSG bearing mice. The specificity of the tracer was evaluated by imaging CT26 tumors that were PD-L1+ (red dashed line), PD-L1− (white dashed line), PD-L1+ blocked or dual tumors (PD-L1+ left, PD-L1− right). (B) The uptake was quantified in %ID/g. Error bars represent SD. The decreased uptake in the blocked hPD-L1(+) tumors and the hPD-L1- tumors indicated specificity of the tracer. **P < 0.01. This research was originally published in Maute et al. (115). Permission to reproduce this image has been obtained from the Proceedings of the National Academy of Sciences of the United States of America.