Cortical Microglial Activation on [F-18]PBR06-PET Predicts Progression Independent of Relapse Activity (PIRA) in Multiple Sclerosis: A 4.5-year Longitudinal Study
Tarun Singhal1, Steven Cicero1, Caleb Hansel1, Shipra Dubey1, Kyle Sullivan1, Nicolas Horan1, Shrishti Saxena1, Renxin Chu1, Bonnie Glanz1, Tanuja Chitnis1, Rohit Bakshi1, Howard Weiner1
1Brigham and Women's Hospital, Harvard Medical School
Objective:
The objectives of this study are to determine the ability of [F-18]PBR06-PET to predict progression independent of disease activity (PIRA) in multiple sclerosis (MS) and compare it with clinical measures, MRI volumetrics, and serum biomarkers .
Background:
Microglial-activation may play a role in disease progression in MS. [F-18]PBR06-PET targeting 18-kDa-translocator-protein (TSPO) can detect abnormal microglial activation (MA) in MS.
Design/Methods:
Twenty-two MS patients (mean age, 46±13 years; 16 females) who underwent [F-18]PBR06-PET scans were prospectively followed-up for an average duration of 4.5-years. PIRA was defined as at-least 0.5- and 1.0-point increase in EDSS in subjects with EDSS>/=5 and <5, respectively, without associated clinical-relapse or MRI-activity. Logarithmically transformed “glial activity load on PET” scores (calculated as the sum of voxel-by-voxel z-scores ≥4), “lnGALP,” were compared between progressors (PIRA) versus non-progressors (NP), and compared with differences in clinical measures, serum biomarkers, and total cortical thickness (CoT) between groups. Multivariate regression and receiver-operating-characteristic (ROC) analyses were performed.
Results:
Cortical gray-matter (CoGM) lnGALP was higher and CoT was lower in PIRA versus NP (11.27±1.1 vs. 9.43±1.38, +19.5%, p = 0.009, and 2.44±0.08 vs. 2.51±0.07, -2.7%, p=0.03). On multivariate regression, CoGM-lnGALP was predictive of PIRA independent of CoT, age, EDSS, fatigue scores, disease-modifying treatment (DMT) and TSPO-binding-status (p<0.05). On ROC analysis, the AUC was 0.854 and 0.75 for PET and CoT, respectively (Youden’s-index (YI) 0.69 and 0.52). A CoGM-lnGALP cut-off value of >9.94 predicted PIRA with 100% sensitivity and 68.7% specificity that improved to 100% sensitivity and 100% specificity in a subgroup of patients treated with high-efficacy DMTs (n=13, YI=1, p<0.001). Serum neurofilament light chain and glial-fibrillary acid protein levels, brain and thalamic volume, and white matter lnGALP were not significantly different between groups.
Conclusions:
Cortical microglial-activation on [F-18]PBR06-PET independently predicts PIRA in MS. Larger, prospective, longitudinal studies of [F-18]PBR06-PET in MS and PIRA are urgently warranted.
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