Detection of Atherosclerotic Inflammation by 68^{68}Ga-DOTATATE PET Compared to [18^{18}F]FDG PET Imaging

$\textbf{Background}$ Inflammation drives atherosclerotic plaque rupture. Although inflammation can be measured using fluorine-18-labeled fluorodeoxyglucose positron emission tomography ([$^{18}$F]FDG PET), [$^{18}$F]FDG lacks cell specificity, and coronary imaging is unreliable because of myocardial spillover. $\textbf{Objectives}$ Objectives This study tested the efficacy of gallium-68-labeled DOTATATE ($^{68}$Ga-DOTATATE), a somatostatin receptor subtype-2 (SST2)-binding PET tracer, for imaging atherosclerotic inflammation. $\textbf{Methods}$ We confirmed $^{68}$Ga-DOTATATE binding in macrophages and excised carotid plaques. $^{68}$Ga-DOTATATE PET imaging was compared to [$^{18}$F]FDG PET imaging in 42 patients with atherosclerosis. $\textbf{Results}$ Target $\textit{SSTR2}$ gene expression occurred exclusively in “proinflammatory” M1 macrophages, specific $^{68}$Ga-DOTATATE ligand binding to SST$_{2}$ receptors occurred in CD68-positive macrophage-rich carotid plaque regions, and carotid $\textit{SSTR2}$ mRNA was highly correlated with in vivo $^{68}$Ga-DOTATATE PET signals (r = 0.89; 95% confidence interval [CI]: 0.28 to 0.99; p = 0.02). $^{68}$Ga-DOTATATE mean of maximum tissue-to-blood ratios (mTBR$_{max}$) correctly identified culprit versus nonculprit arteries in patients with acute coronary syndrome (median difference: 0.69; interquartile range [IQR]: 0.22 to 1.15; p = 0.008) and transient ischemic attack/stroke (median difference: 0.13; IQR: 0.07 to 0.32; p = 0.003). $^{68}$Ga-DOTATATE mTBR$_{max}$ predicted high-risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95% CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95% CI: 0.32 to 0.69; p <0.0001) and [$^{18}$F]FDG uptake (r = 0.73; 95% CI: 0.64 to 0.81; p < 0.0001). [$^{18}$F]FDG mTBR$_{max}$ differentiated culprit from nonculprit carotid lesions (median difference: 0.12; IQR: 0.0 to 0.23; p = 0.008) and high-risk from lower-risk coronary arteries (ROC AUC: 0.76; 95% CI: 0.62 to 0.91; p = 0.002); however, myocardial [$^{18}$F]FDG spillover rendered coronary [$^{18}$F]FDG scans uninterpretable in 27 patients (64%). Coronary $^{68}$Ga-DOTATATE PET scans were readable in all patients. $\textbf{Conclusions}$ We validated $^{68}$Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that $^{68}$Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [$^{18}$F]FDG. (Vascular Inflammation Imaging Using Somatostatin Receptor Positron Emission Tomography [VISION]; NCT02021188)This study was funded by the Wellcome Trust and supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre and the Cambridge Clinical Trials Unit. Dr. Tarkin is supported by a Wellcome Trust research training fellowship (104492/Z/14/Z). Dr. Evans is supported by a Dunhill Medical Trust fellowship (RTF44/0114). Dr. Chowdhury is supported by Royal College of Surgeons of England and British Heart Foundation (BHF) fellowships (FS/16/29/31957). Drs. Manavaki and Warburton are supported by the NIHR Biomedical Research Centres. Drs. Yu and Frontini are supported by the BHF (RE/13/6/30180). Dr. Fryer is supported by Higher Education Funding Council for England (HEFCE). Dr. Groves is supported by the University College London Hospital NIHR Biomedical Research Centre; and has received grant support from GlaxoSmithKline. Dr. Ouwehand’s laboratory is funded by EU-FP7 project Blueprint (Health-F5-2011-282510), BHF (PG-0310-1002 and RG/09/12/28096), and National Health Service Blood and Transplant. Dr. Bennett is supported by NIHR and BHF. Dr. Davenport is supported by research grants from Wellcome Trust (107715/Z/15/Z), Medical Research Council (MC_PC_14116), and BHF (RE-13-6-3180). Dr. Rudd is supported by the NIHR, BHF, Wellcome Trust, and HEFCE

Mucosal CD8 Memory T Cells are selected in the periphery by an MHC Class I Molecule

The presence of immune memory at pathogen entry sites is a prerequisite for protection. Nevertheless, the mechanisms that warrant immunity at peripheral interfaces are not understood. Here we show that the non-classical MHC class I molecule, the thymus leukemia antigen (TL), induced on dendritic cells together with CD8aa on activated CD8αβ+T cells, mediates affinity-based selection of memory precursor cells. Furthermore, constitutive expression of TL on epithelial cells continues the selection of mature CD8αβ memory T cells. The TL-CD8αα-driven memory process is essential for the generation of memory CD8αß T cells in the intestine and leads to the accumulation of highly antigen sensitive CD8αβ memory T cells that form the first line of defense at the largest entry port for pathogens