Effects of age, BMI and sex on the glial cell marker TSPO - a multicentre [11C]PBR28 HRRT PET study.
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Tuisku Jouni, Plavén-Sigray Pontus, Gaiser Edward C, Airas Laura, Al-Abdulrasul Haidar, Brück Anna, Carson Richard E, Chen Ming-Kai, Cosgrove Kelly P, Ekblad Laura, Esterlis Irina, Farde Lars, Forsberg Anton, Halldin Christer, Helin Semi, Kosek Eva, Lekander Mats, Lindgren Noora, Marjamäki Päivi, Rissanen Eero, Sucksdorff Marcus, Varrone Andrea, HRRT [11C ]PBR28 study group, Collste Karin, Gallezot Jean-Dominique, Hillmer Ansel, Huang Yiyun, Höglund Caroline O, Johansson Jarkko, Jucaite Aurelija, Lampa Jon, Nabulsi Nabeel, Pittman Brian, Sandiego Christine M, Stenkrona Per, Rinne Juha, Matuskey David, Cervenka Simon
Аннотация
METHODS: [11C]PBR28 data from 140 healthy volunteers (72 males and 68 females; N = 78 with HAB and N = 62 MAB genotype; age range 19-80 years; BMI range 17.6-36.9) were acquired with High Resolution Research Tomograph at three centres: Karolinska Institutet (N = 53), Turku PET centre (N = 62) and Yale University PET Center (N = 25). The total volume of distribution (VT) was estimated in global grey matter, frontal, temporal, occipital and parietal cortices, hippocampus and thalamus using multilinear analysis 1. The effects of age, BMI and sex on TSPO availability were investigated using linear mixed effects model, with TSPO genotype and PET centre specified as random intercepts.
RESULTS: There were significant positive correlations between age and VT in the frontal and temporal cortex. BMI showed a significant negative correlation with VT in all regions. Additionally, significant differences between males and females were observed in all regions, with females showing higher VT. A subgroup analysis revealed a positive correlation between VT and age in all regions in male subjects, whereas age showed no effect on TSPO levels in female subjects.
CONCLUSION: These findings provide evidence that individual biological properties may contribute significantly to the high variation shown in TSPO binding estimates, and suggest that age, BMI and sex can be confounding factors in clinical studies.