Positron emission tomography (PET) targeting the 18 kDa translocator protein (TSPO) is used to quantify neuroinflammation. Translocator protein is expressed throughout the brain, and therefore a classical reference region approach cannot be used to estimate binding potential (BP ND ). Here, we used blockade of the TSPO radioligand [ 11 C]PBR28 with the TSPO ligand XBD173, to determine the non-displaceable volume of distribution (V ND ), and hence estimate the BP ND . A total of 26 healthy volunteers, 16 high-affinity binders (HABs) and 10 mixed affinity binders (MABs) underwent a [ 11 C]PBR28 PET scan with arterial sampling. Six of the HABs received oral XBD173 (10 to 90 mg), 2 hours before a repeat scan. In XBD173-dosed subjects, V ND was estimated via the occupancy plot. Values of BP ND for all subjects were calculated using this V ND estimate. Total volume of distribution (V T ) of MABs (2.94±0.31) was lower than V T of HABs (4.33±0.29) (Po0.005). There was dose-dependent occupancy of TSPO by XBD173 (ED50 ¼ 0.34±0.13 mg/kg). The occupancy plot provided a V ND estimate of 1.98 (1.69, 2.26). Based on these V ND estimates, BP ND for HABs is approximately twice that of MABs, consistent with predictions from in vitro data. Our estimates of [ 11 C]PBR28 V ND and hence BP ND in the healthy human brain are consistent with in vitro predictions. XBD173 blockade provides a practical means of estimating V ND for TSPO targeting radioligands.
Anaerobic metabolism during contraction was characteristic of quadriceps, but not biceps, muscles of patients with COPD and was associated with increased IMAT. Because IMAT can be assessed quickly by conventional MRI, it may be a useful approach for identifying patients with abnormal muscle bioenergetics.
HTLV-1-associated myelopathy (HAM; HTLV-1 is human T-lymphotropic virus type 1) is a chronic debilitating neuroinflammatory disease with a predilection for the thoracic cord. Tissue damage is attributed to the cellular immune response to HTLV-1-infected lymphocytes. The brains of HTLV-1-infected patients, with and without HAM but no clinical evidence of brain involvement, were examined using a specific 18-kDa translocator protein ligand, 11 C-PBR28, and T1-weighted and diffusion-weighted MRI. Methods: Five subjects with HAM and 2 HTLV-1 asymptomatic carriers were studied. All underwent clinical neurologic assessment including cognitive function and objective measures of gait, quantification of HTLV-1 proviral load in peripheral blood mononuclear cells, and human leukocyte antigenantigen D related expression on circulating CD81 lymphocytes. 11 C-PBR28 PET and MRI were performed on the same day. 11 C-PBR28 PET total volume of distribution and distribution volume ratio (DVR) were estimated using 2-tissue-compartment modeling. MRI data were processed using tools from the FMRIB Software Library to estimate mean diffusivity (MD) and gray matter (GM) fraction changes. The results were compared with data from age-matched healthy volunteers. Results: Across the whole brain, the total volume of distribution for the subjects with HAM (5.44 ± 0.84) was significantly greater than that of asymptomatic carriers (3.44 ± 0.80). The DVR of the thalamus in patients with severe and moderate HAM was higher than that in the healthy volunteers, suggesting increased translocator protein binding (z . 4.72). Subjects with more severe myelopathy and with high DR expression on CD81 lymphocytes had increased DVR and MD (near-significant correlation found for the right thalamus MD: P 5 0.06). On the T1-weighted MRI scans, the GM fraction of the brain stem was reduced in all HTLV-1-infected patients compared with controls (P , 0.001), whereas the thalamus GM fraction was decreased in patients with HAM and correlated with the disease severity. There was no correlation between neurocognitive function and these markers of central nervous system inflammation. Conclusion: This pilot study suggests that some patients with HAM have asymptomatic inflammation in the brain, which can be detected and monitored by 11 C-PBR28 PET together with structural and diffusion-weighted MRI.
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