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Quantification of [(11)C]PBR28 data after systemic lipopolysaccharide challenge

BACKGROUND: Lipopolysaccharide (LPS) is a classic immune stimulus. LPS combined with positron emission tomography (PET) 18 kDa translocator protein (TSPO) brain imaging provides a robust human laboratory model to study neuroimmune signaling. To evaluate optimal analysis of these data, this work comp...

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Detalles Bibliográficos
Autores principales: Woodcock, Eric A., Schain, Martin, Cosgrove, Kelly P., Hillmer, Ansel T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067964/
https://www.ncbi.nlm.nih.gov/pubmed/32166497
http://dx.doi.org/10.1186/s13550-020-0605-7
Descripción
Sumario:BACKGROUND: Lipopolysaccharide (LPS) is a classic immune stimulus. LPS combined with positron emission tomography (PET) 18 kDa translocator protein (TSPO) brain imaging provides a robust human laboratory model to study neuroimmune signaling. To evaluate optimal analysis of these data, this work compared the sensitivity of six quantification approaches. METHODS: [(11)C]PBR28 data from healthy volunteers (N = 8) were collected before and 3 h after LPS challenge (1.0 ng/kg IV). Quantification approaches included total volume of distribution estimated with two tissue, and two tissue plus irreversible uptake in whole blood, compartment models (2TCM and 2TCM-1k, respectively) and multilinear analysis-1 (MA-1); binding potential estimated with simultaneous estimation (SIME); standardized uptake values (SUV); and SUV ratio (SUVR). RESULTS: The 2TCM, 2TCM-1k, MA-1, and SIME approaches each yielded substantive effect sizes for LPS effects (partial η(2) = 0.56–0.89, ps <. 05), whereas SUV and SUVR did not. CONCLUSION: These findings highlight the importance of incorporating AIF measurements to quantify LPS-TSPO studies.